{ "id": 40388, "url": "https://svs.gsfc.nasa.gov/gallery/nasaearth-science/", "page_type": "Gallery", "title": "NASA Earth Science", "description": "NASA’s Earth Science Division (ESD) missions help us to understand our planet’s interconnected systems, from a global scale down to minute processes. Working in concert with a satellite network of international partners, ESD can measure precipitation around the world, and it can employ its own constellation of small satellites to look into the eye of a hurricane. ESD technology can track dust storms across continents and mosquito habitats across cities.\n\nFor more information:\nhttps://science.nasa.gov/earth-science", "release_date": "2019-09-13T10:53:37-04:00", "update_date": "2024-07-13T17:37:49-04:00", "main_image": { "id": 1089953, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a005200/a005234/global_co2_airs_60South_720x480.00253.png", "filename": "global_co2_airs_60South_720x480.00253.png", "media_type": "Image", "alt_text": "Monthly frames (720x480 resolution) of global carbon dioxide (CO₂) for the period September 2002-November 2023, showcasing data products from NASA's Aqua mission. Each frame represents a montly timestep for the period September 2002-November 2023.The CO2_frames_dates_values.csv can be used to sync frame number, date and CO₂ values..", "width": 720, "height": 586, "pixels": 421920 }, "media_groups": [ { "id": 371392, "url": "https://svs.gsfc.nasa.gov/gallery/nasaearth-science/#media_group_371392", "widget": "Basic text (large)", "title": "Overview", "caption": "", "description": "NASA’s Earth Science Division (ESD) missions help us to understand our planet’s interconnected systems, from a global scale down to minute processes. Working in concert with a satellite network of international partners, ESD can measure precipitation around the world, and it can employ its own constellation of small satellites to look into the eye of a hurricane. ESD technology can track dust storms across continents and mosquito habitats across cities.\n

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This research, combined with observations, data assimilation, and modeling, improves society’s ability to predict how future changes in atmospheric composition will affect climate, weather, and air quality.", "items": [ { "id": 422533, "type": "details_page", "extra_data": null, "instance": { "id": 5234, "url": "https://svs.gsfc.nasa.gov/5234/", "page_type": "Visualization", "title": "AIRS Global Carbon Dioxide (CO₂) measurements (2002-October 2023)", "description": "Data visualization showing the global distribution and variation of the concentration of mid-tropospheric carbon dioxide observed by the Atmospheric Infrared Sounder (AIRS) on the NASA Aqua spacecraft over a 20 year timespan.", "release_date": "2024-03-12T00:00:00-04:00", "update_date": "2026-03-18T15:01:29.453186-04:00", "main_image": { "id": 1089953, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a005200/a005234/global_co2_airs_60South_720x480.00253.png", "filename": "global_co2_airs_60South_720x480.00253.png", "media_type": "Image", "alt_text": "Monthly frames (720x480 resolution) of global carbon dioxide (CO₂) for the period September 2002-November 2023, showcasing data products from NASA's Aqua mission. Each frame represents a montly timestep for the period September 2002-November 2023.The CO2_frames_dates_values.csv can be used to sync frame number, date and CO₂ values..", "width": 720, "height": 586, "pixels": 421920 } } }, { "id": 411146, "type": "details_page", "extra_data": null, "instance": { "id": 5153, "url": "https://svs.gsfc.nasa.gov/5153/", "page_type": "Visualization", "title": "Carbon Monoxide (CO)", "description": "Near surface concentration of carbon monoxide (CO) estimated by NASA’s GEOS-CF model.", "release_date": "2023-09-26T17:00:00-04:00", "update_date": "2026-05-04T02:27:37.394129-04:00", "main_image": { "id": 858352, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a005100/a005153/MC03_stage4_GMAO_CO_2048x1024_en.00001_print.jpg", "filename": "MC03_stage4_GMAO_CO_2048x1024_en.00001_print.jpg", "media_type": "Image", "alt_text": "Near surface concentration of carbon monoxide (CO) estimated by NASA’s GEOS-CF model.", "width": 1024, "height": 512, "pixels": 524288 } } }, { "id": 411147, "type": "details_page", "extra_data": null, "instance": { "id": 5152, "url": "https://svs.gsfc.nasa.gov/5152/", "page_type": "Visualization", "title": "Near surface Ozone (O3)", "description": "Near surface concentration of ozone (O3) estimated by NASA’s GEOS-CF model.", "release_date": "2023-09-26T17:00:00-04:00", "update_date": "2026-05-04T02:26:51.328645-04:00", "main_image": { "id": 858348, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a005100/a005152/MC02_stage4_GMAO_O3_2048x1024_en.00001_print.jpg", "filename": "MC02_stage4_GMAO_O3_2048x1024_en.00001_print.jpg", "media_type": "Image", "alt_text": "Near surface concentration of ozone (O3) estimated by NASA’s GEOS-CF model.", "width": 1024, "height": 512, "pixels": 524288 } } }, { "id": 411148, "type": "details_page", "extra_data": null, "instance": { "id": 5151, "url": "https://svs.gsfc.nasa.gov/5151/", "page_type": "Visualization", "title": "Particulate Matter (PM) 2.5", "description": "Near surface 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(1920x1080) [766.2 KB] || CH4Trends_1920x1080p30.00900_searchweb.png (320x180) [26.3 KB] || CH4Trends_1920x1080p30.00900_thm.png (80x40) [3.5 KB] || CH4_Trends_1920x1080.mp4 (1920x1080) [4.4 MB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || CH4Trends_1920x1080p30.00900.exr (1920x1080) [1.7 MB] || ", "release_date": "2023-06-20T22:00:00-04:00", "update_date": "2025-06-23T00:15:56.469642-04:00", "main_image": { "id": 856225, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a005100/a005118/CH4Trends_1920x1080p30.00900.png", "filename": "CH4Trends_1920x1080p30.00900.png", "media_type": "Image", "alt_text": "Global trends in atmospheric Methane (CH₄) for the period July 1983-December 2022.", "width": 1920, "height": 1080, "pixels": 2073600 } } }, { "id": 411151, "type": "details_page", "extra_data": null, "instance": { "id": 5116, "url": "https://svs.gsfc.nasa.gov/5116/", "page_type": "Visualization", "title": "Global Atmospheric Methane (CH₄)", "description": "Volumetric visualization of the total Methane (CH₄) on a global scale added on Earth's atmosphere over the course of the year 2021. || TotalCH4_Comp_1920x19020p30_00080.png (1920x1920) [2.5 MB] || TotalCH4_Comp_1920x19020p30_00080_print.jpg (1024x1024) [114.9 KB] || VolumetricCH4_Composite (1920x1920) [0 Item(s)] || VolumetricCH4_Composite_1920x19020p30.mp4 (1920x1920) [353.5 MB] || ", "release_date": "2023-06-20T16:00:00-04:00", "update_date": "2025-03-16T23:03:25.999759-04:00", "main_image": { "id": 856165, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a005100/a005116/TotalCH4_Volume_1920x1920.00080.png", "filename": "TotalCH4_Volume_1920x1920.00080.png", "media_type": "Image", "alt_text": "This visualization shows the total methane on a global scale added on Earth's atmosphere over the course of the year 2021.", "width": 1920, "height": 1920, "pixels": 3686400 } } }, { "id": 411152, "type": "details_page", "extra_data": null, "instance": { "id": 5115, "url": "https://svs.gsfc.nasa.gov/5115/", "page_type": "Visualization", "title": "Global Atmospheric Carbon Dioxide (CO₂)", "description": "Volumetric visualization of the total carbon dioxide (CO₂) on a global scale added on Earth's atmosphere over the course of the year 2021. || TotalCO2_Comp_1920x1920p30_00080.png (1920x1920) [3.2 MB] || TotalCO2_Comp_1920x1920p30_00080_print.jpg (1024x1024) [168.5 KB] || VolumetricCO2_Composite (1920x1920) [0 Item(s)] || VolumetricCO2_Composite_1920x1920p30.mp4 (1920x1920) [806.2 MB] || ", "release_date": "2023-06-20T15:00:00-04:00", "update_date": "2025-01-15T10:57:49-05:00", "main_image": { "id": 856146, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a005100/a005115/TotalCO2_Volume_1920x1920.00080.png", "filename": "TotalCO2_Volume_1920x1920.00080.png", "media_type": "Image", "alt_text": "Visualization of the total carbon dioxide (CO₂) on a global scale added on Earth's atmosphere over the course of the year 2021 (without the timeline).", "width": 1920, "height": 1920, "pixels": 3686400 } } }, { "id": 411153, "type": "details_page", "extra_data": null, "instance": { "id": 5081, "url": "https://svs.gsfc.nasa.gov/5081/", "page_type": "Visualization", "title": "National Carbon Dioxide (CO₂) budgets inferred from atmospheric observations", "description": "National yearly carbon dioxide (CO₂) budgets for over 100 countries around the world for the period 2015-2020. || NationalCO2Budgets_Light_1080x1920_30fps_358.png (1080x1920) [1.4 MB] || NationalCO2Budgets_Light_1080x1920.mp4 (1080x1920) [12.3 MB] || NationalCarbonDioxideBudget_Light (1080x1920) [0 Item(s)] || NationalCO2Budgets_Light_1080x1920.webm (1080x1920) [1.4 MB] || ", "release_date": "2023-03-07T00:00:00-05:00", "update_date": "2024-02-21T11:24:37-05:00", "main_image": { "id": 765152, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a005000/a005081/NetCarbonEmissions_Light_1920x1080_30fps_360.png", "filename": "NetCarbonEmissions_Light_1920x1080_30fps_360.png", "media_type": "Image", "alt_text": "This visualization shows yearly net surface emissions and removals by more than 100 countries from 2015 to 2020. . Countries with emissions, seen here in red, appear to pop from the page, compared to countries with removals, seen in green. ", "width": 1920, "height": 1080, "pixels": 2073600 } } }, { "id": 411154, "type": "details_page", "extra_data": null, "instance": { "id": 5024, "url": "https://svs.gsfc.nasa.gov/5024/", "page_type": "Visualization", "title": "20 years of AIRS Global Carbon Dioxide (CO₂) measurements (2002-October 2022)", "description": "Data visualization of global carbon dioxide (CO₂) for the period September 2002-October 2022, showcasing data products from NASA's Aqua mission. Data visualization assets are designed for HD resolution. || co2airs_60South_1920x108030p.0794_print.jpg (1024x576) [170.8 KB] || 60South_exr (1920x1080) [0 Item(s)] || co2airs_60South_1920x1080p30.mp4 (1920x1080) [25.0 MB] || co2airs_60South_1920x108030p.0794.exr (1920x1080) [5.5 MB] || co2airs_60South_1920x1080p30.webm (1920x1080) [3.0 MB] || co2airs_60South_1920x1080p30.mp4.hwshow [194 bytes] || ", "release_date": "2023-01-31T22:00:00-05:00", "update_date": "2025-03-02T00:13:15.720093-05:00", "main_image": { "id": 552521, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a005000/a005024/5024_airs_co2_preview.png", "filename": "5024_airs_co2_preview.png", "media_type": "Image", "alt_text": "Monthly frames (720x480 resolution) of global carbon dioxide (CO2) for the period September 2002-March 2022, showcasing data products from NASA's Aqua mission. Each frame represents a montly timestep for the period September 2002-October 2022.The CO2_frames_dates_values.csv can be used to sync frame number, date and CO₂ values.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411155, "type": "details_page", "extra_data": null, "instance": { "id": 5022, "url": "https://svs.gsfc.nasa.gov/5022/", "page_type": "Visualization", "title": "OCO-2 Gridded Global Carbon Dioxide (CO₂)", "description": "Data visualization of global carbon dioxide (CO₂) for the period January 2015-February 2022, showcasing data from NASA's Obriting Carbon Observatory 2 (OCO-2) Gridded/Level 3 product. || oco2_3840x2160p60.1618_print.jpg (1024x576) [112.6 KB] || oco2_3840x2160p60.1618.png (3840x2160) [6.1 MB] || oco2_3840x2160p60.1618_print_searchweb.png (320x180) [53.9 KB] || oco2_3840x2160p60.1618_print_thm.png (80x40) [4.4 KB] || Composite (3840x2160) [0 Item(s)] || Composite (3840x2160) [0 Item(s)] || oco2_3840x2160p30.mp4 (3840x2160) [46.0 MB] || oco2_3840x2160_p60.mp4 (3840x2160) [45.1 MB] || oco2_3840x2160_p60.webm (3840x2160) [13.5 MB] || ", "release_date": "2023-02-24T16:00:00-05:00", "update_date": "2025-03-02T23:13:17.698444-05:00", "main_image": { "id": 367847, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a005000/a005022/oco2_SOS_thumbnail.png", "filename": "oco2_SOS_thumbnail.png", "media_type": "Image", "alt_text": "Thumbnail image for Science on a Sphere (SOS).", "width": 800, "height": 800, "pixels": 640000 } } }, { "id": 411156, "type": "details_page", "extra_data": null, "instance": { "id": 5025, "url": "https://svs.gsfc.nasa.gov/5025/", "page_type": "Visualization", "title": "20 years of AIRS Global Carbon Dioxide (CO₂) measurements (2002-May 2022)", "description": "Data visualization of global carbon dioxide (CO₂) for the period September 2002-May 2022, showcasing data products from NASA's Aqua mission. Data visualization assets are designed for HD resolution. || co2airs_60South_1920x108030p.0779.png (1920x1080) [1.8 MB] || co2airs_60South_1920x108030p.0779_print.jpg (1024x576) [171.8 KB] || co2airs_60South_1920x108030p.mp4 (1920x1080) [31.8 MB] || 60South_exr (1920x1080) [0 Item(s)] || co2airs_60South_1920x108030p.webm (1920x1080) [3.0 MB] || co2airs_60South_1920x108030p.mp4.hwshow [194 bytes] || ", "release_date": "2022-09-14T17:30:00-04:00", "update_date": "2025-03-02T00:13:15.889859-05:00", "main_image": { "id": 369363, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a005000/a005025/5025_airs_co2_720x405.jpg", "filename": "5025_airs_co2_720x405.jpg", "media_type": "Image", "alt_text": "Monthly frames (720x480 resolution) of global carbon dioxide (CO₂) for the period September 2002-May 2022, showcasing data products from NASA's Aqua mission. Each frame represents a montly timestep for the period September 2002-May 2022.The CO2_frames_dates_values.csv can be used to sync frame number, date and CO₂ values.", "width": 720, "height": 405, "pixels": 291600 } } }, { "id": 411157, "type": "details_page", "extra_data": null, "instance": { "id": 5007, "url": "https://svs.gsfc.nasa.gov/5007/", "page_type": "Visualization", "title": "Trends in Global Atmospheric Methane (CH₄)", "description": "Timeplot of global atmospheric methane (CH4) showing the full NOAA record (September 1983-March 2022). This version is created with a dark background. || MethaneTrends_Dark_3840x216030p.1512_print.jpg (1024x576) [44.0 KB] || MethaneTrends_Dark_3840x216030p.1512.png (3840x2160) [508.9 KB] || MethaneTrends_Dark_3840x216030p.1512_searchweb.png (180x320) [13.1 KB] || MethaneTrends_Dark_3840x216030p.1512_thm.png (80x40) [2.2 KB] || MethaneTrends_Dark_3840x216030p.1512_web.png (320x180) [13.1 KB] || MethaneTrends_Dark_1080p30.mp4 (1920x1080) [3.7 MB] || MethaneTrends_Dark_1080p30.webm (1920x1080) [4.6 MB] || MethaneTrends_Dark (3840x2160) [0 Item(s)] || MethaneTrends_Dark_3840x216030p.mp4 (3840x2160) [16.4 MB] || MethaneTrends_Dark_3840x216030p.1512.exr (3840x2160) [886.5 KB] || ", "release_date": "2022-08-11T00:00:00-04:00", "update_date": "2025-03-09T22:55:56.437892-04:00", "main_image": { "id": 369809, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a005000/a005007/MethaneTrends_Dark_3840x216030p.1512_print.jpg", "filename": "MethaneTrends_Dark_3840x216030p.1512_print.jpg", "media_type": "Image", "alt_text": "Timeplot of global atmospheric methane (CH4) showing the full NOAA record (September 1983-March 2022). This version is created with a dark background.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411158, "type": "details_page", "extra_data": null, "instance": { "id": 4962, "url": "https://svs.gsfc.nasa.gov/4962/", "page_type": "Visualization", "title": "Concentration Increase of Atmospheric Carbon Dioxide (CO₂)", "description": "Timeplot of increase of atmospheric Carbon Dioxide (CO2) concentrations relative to the pre-industrial CO2 long-term mean value of 278ppm. During 2021, atmospheric CO2 concentrations reached a record-level increase of 50% relative to pre-industrial CO2 levels. || CO2_Increase_1920x1080_30p.01509.png (1920x1080) [382.9 KB] || CO2_Increase_1920x1080_30p.01509_print.jpg (1024x576) [45.5 KB] || CarbonDioxide_Increase (1920x1080) [0 Item(s)] || CarbonDioxide_Increase_1920x1080_30p.mp4 (1920x1080) [5.4 MB] || CO2_Increase_1920x1080_30p.01509.tif (1920x1080) [7.9 MB] || CarbonDioxide_Increase_1920x1080_30p.webm (1920x1080) [5.9 MB] || CarbonDioxide_Increase_alpha (1920x1080) [0 Item(s)] || CarbonDioxide_Increase (3840x2160) [0 Item(s)] || CarbonDioxide_Increase_4K.mp4 (3840x2160) [31.1 MB] || CarbonDioxide_Increase_Alpha (3840x2160) [0 Item(s)] || ", "release_date": "2022-01-12T00:00:00-05:00", "update_date": "2025-03-02T00:12:47.127433-05:00", "main_image": { "id": 373975, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004900/a004962/CO2_Increase_Dark_1920x1080_30p.01509.png", "filename": "CO2_Increase_Dark_1920x1080_30p.01509.png", "media_type": "Image", "alt_text": "Timeplot of increase of atmospheric Carbon Dioxide (CO2) concentrations relative to the pre-industrial CO2 long-term mean value of 278ppm. During 2021, atmospheric CO2 concentrations reached a record-level increase of 50% relative to pre-industrial CO2 levels. This version is created with a dark background.", "width": 1920, "height": 1080, "pixels": 2073600 } } }, { "id": 411159, "type": "details_page", "extra_data": null, "instance": { "id": 4990, "url": "https://svs.gsfc.nasa.gov/4990/", "page_type": "Visualization", "title": "20 years of AIRS Global Carbon Dioxide (CO₂) measurements (2002- March 2022)", "description": "Data visualization of global carbon dioxide (CO2) for the period September 2002-March 2022, showcasing data products from NASA's Aqua mission. Data visualization assets are designed for HD resolution. || co2airs_60South_1920x108030p.0771.png (1920x1080) [1.8 MB] || co2airs_60South_1920x1080p30.mp4 (1920x1080) [24.2 MB] || composite_60South (1920x1080) [0 Item(s)] || co2airs_60South_1920x1080p30.webm (1920x1080) [2.9 MB] || co2airs_60South_1920x1080p30.mp4.hwshow [228 bytes] || ", "release_date": "2022-05-28T00:00:00-04:00", "update_date": "2025-03-02T00:12:59.951965-05:00", "main_image": { "id": 370913, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004900/a004990/global_co2_airs_1024x576.jpg", "filename": "global_co2_airs_1024x576.jpg", "media_type": "Image", "alt_text": "Monthly frames (720x480 resolution) of global carbon dioxide (CO2) for the period September 2002-March 2022, showcasing data products from NASA's Aqua mission. Each frame represents a montly timestep for the period September 2002-March 2022.The CO2_frames_dates_values.csv can be used to sync frame number, date and CO2 values.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411160, "type": "media_group", "extra_data": null, "title": "Volumetric Carbon DIoxide for large hyperwall format only", "caption": "NASA’s Orbiting Carbon Observatory, 2 (OCO-2) provides the most complete dataset tracking the concentration of atmospheric carbon dioxide (CO2), the main driver of climate change. Every day, OCO-2 measures sunlight reflected from Earth’s surface to infer the dry-air column-averaged CO2 mixing ratio and provides around 100,000 cloud-free observations. Despite these advances, OCO-2 data contain many gaps where sunlight is not present or where clouds or aerosols are too thick to retrieve CO2 data. In order to fill gaps and provide science and applications users a spatially complete product, OCO-2 data are assimilated into NASA’s Goddard Earth Observing System (GEOS), a complex modeling and data assimilation system used for studying the Earth’s weather and climate. GEOS is also informed by satellite observations of nighttime lights and vegetation greenness along with about 1 million weather observations collected every hour. These data help scientists infer CO2 mixing ratios even when a direct OCO-2 observation is not present and provide additional information on the altitude of CO2 plumes that the satellite is not able to see. Together, OCO-2 and GEOS create one of the most complete pictures of CO2. \r\n\r\nThe visualization featured on this page shows the atmosphere in three dimensions and highlights the accumulation of CO2 during a single calendar year. Every year, the world’s vegetation and oceans absorb about half of human CO2 emissions, providing an incredibly valuable service that has mitigated the rate of accumulation of greenhouse gases in the atmosphere. However, around 2.5 parts per million remain in the atmosphere every year causing a steady upward march in concentrations that scientists have tracked since the 1950s at surface stations. \r\n\r\nThe volumetric visualization starts in June 2020, showing all of the model’s values of global CO2. All 3d cells of the model are opaque, revealing a solid brick of data. During the month of June 2020, the higher values of CO2 coalesce around the equatorial belt. By mid-July 2020 the visualization reduces the opacity of lower CO2 values between 385 parts-per-millon (ppm) and 405 ppm in the atmosphere making them transparent. These lower values tend to be higher up in the atmosphere. By doing this, the higher CO2 concentrations, which are closer to the ground, are highlighted revealing the seasonal movement of high CO2 at a global scale. During the months of June-September (summer months for northern hemisphere), global CO2 concentrations tend to be lowest because northern hemisphere plants actively absorb CO2 from the atmosphere via photosynthesis. During northern hemisphere fall and winter months, much of this CO2 is re-released to the atmosphere due to respiration and can be seen building up. By June and July 2021, plants again draw CO2 out of the atmosphere, but notably higher concentrations remain in contrast to the nearly transparent colors of the previous year. The diurnal rhythm of CO2 is apparent over our planet's largest forests, such as the Amazon rainforest in South America and the Congo rainforest in Central Africa. The fast-paced pulse in those rainforests is due to the day-night cycle; plants absorb CO2 during the day via photosynthesis when the sun is out, then stop absorbing CO2 at night. In addition to highlighting the buildup of atmospheric CO2, this visualization shows how interconnected the world’s greenhouse gas problem is. NASA’s unique combination of observations and models plays a critical role in helping scientists track increases in CO2 as they happen to better understand their climate impact.\r\n\r\n

This visualization was created specifically to support a series of talks from NASA scientists for the 2021 United Nations Climate Change Conference (COP26), Glasgow, UK, 31 October-12 November 2021.\r\n
\r\nData Sources:\r\n", "instance": { "id": 372186, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004900/a004983/CO2Volumetric_9600x3240_30fps.01740.png", "filename": "CO2Volumetric_9600x3240_30fps.01740.png", "media_type": "Image", "alt_text": "This low resolution movie includes lines to illustrate the extents of the 5x3 hyperwall screens. This movie is provided only for preview.", "width": 810, "height": 2400, "pixels": 1944000 } }, { "id": 411161, "type": "details_page", "extra_data": null, "instance": { "id": 14056, "url": "https://svs.gsfc.nasa.gov/14056/", "page_type": "Produced Video", "title": "NASA Tracks COVID-19’s Atmospheric Fingerprint", "description": "Universal Production Music: The Mysterious Staircase by Brice Davoli [SACEM], Suspended in Time by Brice Davoli [SACEM]Stock Footage: Pond5Complete transcript available. || 14056_Still.jpg (1920x1080) [939.6 KB] || 14056_Still_searchweb.png (320x180) [61.8 KB] || 14056_Still_thm.png (80x40) [5.4 KB] || 14056_Atmo.mov (1920x1080) [3.2 GB] || 14056_Atmo.mp4 (1920x1080) [233.2 MB] || 14056_Twitter_Atmo.mp4 (1280x720) [60.2 MB] || 14056_Twitter_Atmo.webm (1280x720) [24.8 MB] || 14056_atmo.en_US.srt [4.7 KB] || 14056_atmo.en_US.vtt [4.4 KB] || ", "release_date": "2022-03-24T11:00:00-04:00", "update_date": "2023-05-03T11:44:16.143272-04:00", "main_image": { "id": 374219, "url": "https://svs.gsfc.nasa.gov/vis/a010000/a014000/a014056/14056_Still.jpg", "filename": "14056_Still.jpg", "media_type": "Image", "alt_text": "Universal Production Music: The Mysterious Staircase by Brice Davoli [SACEM], Suspended in Time by Brice Davoli [SACEM]Stock Footage: Pond5Complete transcript available.", "width": 1920, "height": 1080, "pixels": 2073600 } } }, { "id": 411162, "type": "details_page", "extra_data": null, "instance": { "id": 4949, "url": "https://svs.gsfc.nasa.gov/4949/", "page_type": "Visualization", "title": "Global Carbon Dioxide 2020-2021", "description": "Data visualization featuring volumetric carbon dioxide on a global scale for the period June 1, 2020 - July 31, 2021.Coming soon to our YouTube channel. || CO2Volumetric_1024x576_02582_print.jpg (1024x576) [90.6 KB] || CO2Volumetric_1024x576_02582.png (1024x576) [569.1 KB] || CO2Volumetric_1024x576_02582_searchweb.png (180x320) [60.0 KB] || CO2Volumetric_1024x576_02582_thm.png (80x40) [5.1 KB] || CO2Volumetric_1920x1080p30.mp4 (1920x1080) [65.3 MB] || CO2Volumetric_1920x1080p30.webm (1920x1080) [13.3 MB] || 3840x2160_16x9_30p (3840x2160) [0 Item(s)] || CO2Volumetric_3840x2160_30fps_02582.exr (3840x2160) [63.3 MB] || CO2Volumetric_3840x2160_30fps_02582.tif (3840x2160) [44.5 MB] || captions_silent.31831.en_US.srt [43 bytes] || CO2Volumetric_3840x2160p30.mp4 (3840x2160) [931.2 MB] || ", "release_date": "2021-11-02T00:00:00-04:00", "update_date": "2023-09-19T13:03:33-04:00", "main_image": { "id": 375928, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004900/a004949/CO2Volumetric_1024x576_02582.png", "filename": "CO2Volumetric_1024x576_02582.png", "media_type": "Image", "alt_text": "Data visualization featuring volumetric carbon dioxide on a global scale for the period June 1, 2020 - July 31, 2021.Coming soon to our YouTube channel.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411163, "type": "details_page", "extra_data": null, "instance": { "id": 31139, "url": "https://svs.gsfc.nasa.gov/31139/", "page_type": "Hyperwall Visual", "title": "Earth: A System of Systems (updated)", "description": "All six time-synchronous datasets, individually and then layered two at a time || layered_pairs_1080p.00001_print.jpg (1024x576) [59.0 KB] || layered_pairs_1080p.00001_searchweb.png (320x180) [42.0 KB] || layered_pairs_1080p.00001_thm.png (80x40) [3.8 KB] || layered_pairs_720p.mp4 (1280x720) [83.6 MB] || layered_pairs_1080p.webm (1920x1080) [28.6 MB] || layered_pairs_1080p.mp4 (1920x1080) [157.7 MB] || layered_pairs_2160p.mp4 (3840x2160) [432.6 MB] || A_System_of_Systems_Updated_-_30701.pptx [436.3 MB] || ", "release_date": "2020-05-08T00:00:00-04:00", "update_date": "2025-03-02T00:37:14.835854-05:00", "main_image": { "id": 385217, "url": "https://svs.gsfc.nasa.gov/vis/a030000/a031100/a031139/layered_pairs_1080p.00001_print.jpg", "filename": "layered_pairs_1080p.00001_print.jpg", "media_type": "Image", "alt_text": "All six time-synchronous datasets, individually and then layered two at a time", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411164, "type": "details_page", "extra_data": null, "instance": { "id": 11937, "url": "https://svs.gsfc.nasa.gov/11937/", "page_type": "Produced Video", "title": "Earth's Energy Budget", "description": "Earth's energy budget is a metaphor for the delicate equilibrium between energy received from the Sun versus energy radiated back out in to space. Research into precise details of Earth's energy budget is vital for understanding how the planet's climate may be changing, as well as variabilities in solar energy output. NASA’s (The Clouds and the Earth's Radiant Energy System) CERES and NASA's Total and Spectral solar Irradiance Sensor (TSIS-1), missions play key roles in our continued understanding of Earth’s Energy Budget.NASA’s TSIS helps scientists keep a close watch on the sun’s energy input to Earth. Various satellites have captured a continuous record of this solar energy input since 1978. TSIS-1 sensors advance previous measurements, enabling scientists to study the sun's natural influence on Earth's ozone layer, atmospheric circulation, clouds, and ecosystems. These observations are essential for a scientific understanding of the effects of solar variability on the Earth system. TSIS-1 makes two key measurements: total solar irradiance, or TSI, the sun's total energy input into Earth, and solar spectral irradiance (SSI), the distribution of the sun's energy input across ultraviolet, visible, and infrared wavelengths of light. TSI measurements are needed to quantify the solar variations in the total amount of energy input to the Earth. SSI measurements are also vital because different wavelengths of light are absorbed by different parts of the atmosphere.For more than 20 years, NASA Langley's CERES (System) instruments have measured the solar energy reflected by Earth, the heat the planet emits, and the role of clouds in that process. The final CERES Flight Model, CERES FM6 launched aboard NOAA’s JPSS-1 in Fall 2017. CERES FM6 contributes to an already extensive CERES dataset that helps scientists validate models that calculate the effect of clouds on planetary heating and cooling. The same data can also be helpful for improving near-term, seasonal forecasts influenced by weather events such as El Niño and La Niña. El Niño and La Niña are weather patterns that develop when ocean temperatures fluctuate between warm and cool phases in the Equatorial Pacific Ocean. Built by Northrop Grumman and managed by Langley, CERES FM6 joins five other CERES instruments orbiting the planet on three other satellites.NASA Goddard Space Flight Center manages the TSIS-1 project. The University of Colorado's Laboratory for Atmospheric and Space Physics (LASP) built both instruments and provides mission operations. The International Space Station carries TSIS-1.Earth's energy budget is a metaphor for the delicate equilibrium between energy received from the Sun versus energy radiated back out in to space. Research into precise details of Earth's energy budget is vital for understanding how the planet's climate may be changing, as well as variabilities in solar energy output. NASA’s (The Clouds and the Earth's Radiant Energy System) CERES and NASA's Total and Spectral solar Irradiance Sensor (TSIS-1), missions play key roles in our continued understanding of Earth’s Energy Budget.NASA’s TSIS helps scientists keep a close watch on the sun’s energy input to Earth. Various satellites have captured a continuous record of this solar energy input since 1978. TSIS-1 sensors advance previous measurements, enabling scientists to study the sun's natural influence on Earth's ozone layer, atmospheric circulation, clouds, and ecosystems. These observations are essential for a scientific understanding of the effects of solar variability on the Earth system. TSIS-1 makes two key measurements: total solar irradiance, or TSI, the sun's total energy input into Earth, and solar spectral irradiance (SSI), the distribution of the sun's energy input across ultraviolet, visible, and infrared wavelengths of light. TSI measurements are needed to quantify the solar variations in the total amount of energy input to the Earth. SSI measurements are also vital because different wavelengths of light are absorbed by different parts of the atmosphere.For more than 20 years, NASA Langley's CERES (System) instruments have measured the solar energy reflected by Earth, the heat the planet emits, and the role of clouds in that process. The final CERES Flight Model, CERES FM6 launched aboard NOAA’s JPSS-1 in Fall 2017. CERES FM6 contributes to an already extensive CERES dataset that helps scientists validate models that calculate the effect of clouds on planetary heating and cooling. The same data can also be helpful for improving near-term, seasonal forecasts influenced by weather events such as El Niño and La Niña. El Niño and La Niña are weather patterns that develop when ocean temperatures fluctuate between warm and cool phases in the Equatorial Pacific Ocean. Built by Northrop Grumman and managed by Langley, CERES FM6 joins five other CERES instruments orbiting the planet on three other satellites.NASA Goddard Space Flight Center manages the TSIS-1 project. The University of Colorado's Laboratory for Atmospheric and Space Physics (LASP) built both instruments and provides mission operations. The International Space Station carries TSIS-1. || ", "release_date": "2017-07-20T08:00:00-04:00", "update_date": "2024-10-10T00:16:20.610403-04:00", "main_image": { "id": 412819, "url": "https://svs.gsfc.nasa.gov/vis/a010000/a011900/a011937/Energy_Budget_Second_animation_lowres.00230_print.jpg", "filename": "Energy_Budget_Second_animation_lowres.00230_print.jpg", "media_type": "Image", "alt_text": "NASA's Total and Spectral solar Irradiance Sensor, or TSIS-1, will measure the total amount of solar energy input to Earth as well as the distribution of The Sun's energy input across a wide range of wavelengths. In this animation we see how various wavelengths of light are partially reflected into space at different places in the column of atmosphere above the ground.", "width": 1024, "height": 580, "pixels": 593920 } } }, { "id": 411165, "type": "details_page", "extra_data": null, "instance": { "id": 30641, "url": "https://svs.gsfc.nasa.gov/30641/", "page_type": "Hyperwall Visual", "title": "Simulated Sulfur Dioxide and Sulfate Aerosols", "description": "Sulfur and Sulfates animation of Sept 1 - Dec 31, 2006 || sulfur_globe_c1440_NR_BETA9-SNAP_20060901_0000z.png (5760x2880) [19.9 MB] || sulfur_globe_c1440_NR_BETA9-SNAP_20060901_0000z_print.jpg (1024x512) [117.1 KB] || sulfur_globe_c1440_NR_BETA9-SNAP_20060901_0000z_searchweb.png (180x320) [93.4 KB] || sulfur_globe_c1440_NR_BETA9-SNAP_20060901_0000z_thm.png (80x40) [7.0 KB] || geos_sulfur_720p.mp4 (1280x720) [95.0 MB] || geos_sulfur_720p.webm (1280x720) [11.6 MB] || sulfur_small_c1440_NR_BETA9-SNAP_20060329_1600z_1080.mp4 (1920x1080) [357.4 MB] || geos_sulfur_2304p.mp4 (4096x2304) [667.5 MB] || ", "release_date": "2014-12-10T10:00:00-05:00", "update_date": "2025-01-05T00:25:25.456840-05:00", "main_image": { "id": 432489, "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030600/a030641/sulfur_globe_c1440_NR_BETA9-SNAP_20060901_0000z_print.jpg", "filename": "sulfur_globe_c1440_NR_BETA9-SNAP_20060901_0000z_print.jpg", "media_type": "Image", "alt_text": "Sulfur and Sulfates animation of Sept 1 - Dec 31, 2006", "width": 1024, "height": 512, "pixels": 524288 } } }, { "id": 411166, "type": "details_page", "extra_data": null, "instance": { "id": 4397, "url": "https://svs.gsfc.nasa.gov/4397/", "page_type": "Visualization", "title": "Monsoons: Wet, Dry, Repeat...", "description": "This visualization shows the Asian monsoon and how it develops using observational and modeled data. It also showns some of the impacts.This video is also available on our YouTube channel. || monsoon_final_HD01.02500_print.jpg (1024x576) [182.2 KB] || final (1920x1080) [1.0 MB] || Monsoon_narrated_19201080p30.webm (1920x1080) [29.6 MB] || Monsoon_narrated_640x360p30.m4v (640x360) [43.4 MB] || monsoon_final_HD01_640x360_noNarration.m4v (640x360) [37.2 MB] || 3840x2160_16x9_60p (3840x2160) [1.0 MB] || monsoonnarrfull.en_US.srt [4.9 KB] || monsoonnarrfull.en_US.vtt [4.9 KB] || Monsoon_narrated_19201080p30.mp4 (1920x1080) [512.5 MB] || Monsoon_narrated_1920x1080p60_prores.mov (1920x1080) [7.3 GB] || monsoon_final_1920x1080p60_noNarration.mp4 (1920x1080) [387.4 MB] || monsoon_final_4kp30_noNarration.mp4 (3840x2160) [1.2 GB] || ", "release_date": "2016-06-23T00:00:00-04:00", "update_date": "2024-10-06T22:29:21.568765-04:00", "main_image": { "id": 438033, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004300/a004397/monsoon_final_4k01.08470_print.jpg", "filename": "monsoon_final_4k01.08470_print.jpg", "media_type": "Image", "alt_text": "In the summer the land gets hotter, heating the atmosphere and pulling in cooler air from the oceans. In the winter the land cools off and winds move towards the warmer ocean. Notice that there is a day-night temperature difference that varies around the seasonal averages.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411167, "type": "details_page", "extra_data": null, "instance": { "id": 4439, "url": "https://svs.gsfc.nasa.gov/4439/", "page_type": "Visualization", "title": "High Resolution Layers from \"Monsoons: Wet, Dry, Repeat...\"", "description": "Composited layers - all layers on || comp_4098x2048.09000_print.jpg (1024x512) [242.1 KB] || comp_4098x2048.01000_searchweb.png (180x320) [127.2 KB] || comp_1920x1080p30.webm (1920x1080) [47.8 MB] || comp (4096x2048) [0 Item(s)] || comp_2048x1024p30.mp4 (2048x1024) [1.6 GB] || comp_1920x1080p30.mp4 (1920x1080) [1.6 GB] || comp_4098x2048_p30.mp4 (4096x2048) [6.4 GB] || comp_1920x1080p30.mp4.hwshow [183 bytes] || ", "release_date": "2016-06-23T00:00:00-04:00", "update_date": "2025-01-05T23:00:26.268243-05:00", "main_image": { "id": 438052, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004400/a004439/comp_4098x2048.09000_print.jpg", "filename": "comp_4098x2048.09000_print.jpg", "media_type": "Image", "alt_text": "Composited layers - all layers on ", "width": 1024, "height": 512, "pixels": 524288 } } }, { "id": 411168, "type": "details_page", "extra_data": null, "instance": { "id": 12772, "url": "https://svs.gsfc.nasa.gov/12772/", "page_type": "Produced Video", "title": "2017 Hurricanes and Aerosols Simulation", "description": "Tracking aerosols over land and water from August 1 to November 1, 2017. Hurricanes and tropical storms are obvious from the large amounts of sea salt particles caught up in their swirling winds. The dust blowing off the Sahara, however, gets caught by water droplets and is rained out of the storm system. Smoke from the massive fires in the Pacific Northwest region of North America are blown across the Atlantic to the UK and Europe. This visualization is a result of combining NASA satellite data with sophisticated mathematical models that describe the underlying physical processes.Music: Elapsing Time by Christian Telford [ASCAP], Robert Anthony Navarro [ASCAP]Complete transcript available.Watch this video on the NASA Goddard YouTube channel. || 12772_hurricanes_and_aerosols_1080p_youtube_1080.00001_print.jpg (1024x576) [161.7 KB] || 12772_hurricanes_and_aerosols_1080p_youtube_1080.00001_searchweb.png (180x320) [108.8 KB] || 12772_hurricanes_and_aerosols_1080p_youtube_1080.00001_thm.png (80x40) [7.5 KB] || 12772_hurricanes_and_aerosols_appletv.m4v (1280x720) [78.1 MB] || 12772_hurricanes_and_aerosols_twitter_720.mp4 (1280x720) [34.1 MB] || 12772_hurricanes_and_aerosols.webm (960x540) [65.0 MB] || 12772_hurricanes_and_aerosols_appletv_subtitles.m4v (1280x720) [78.1 MB] || 12772_hurricanes_and_aerosols_1080p_large.mp4 (1920x1080) [163.1 MB] || 12772_hurricanes_and_aerosols_facebook_720.mp4 (1280x720) [184.9 MB] || 12772_hurricanes_and_aerosols_youtube_1080.mp4 (1920x1080) [247.2 MB] || 12772_hurricanes_and_aerosols_youtube_720.mp4 (1280x720) [247.9 MB] || 12772_hurricanes_aerosols_captions.en_US.srt [3.1 KB] || 12772_hurricanes_aerosols_captions.en_US.vtt [3.1 KB] || 12772_hurricanes_and_aerosols_UHD.mp4 (3840x2160) [739.9 MB] || 12772_hurricanes_and_aerosols_1080p-prores.mov (1920x1080) [4.3 GB] || 12772_hurricanes_and_aerosols_UHD_4444.mov (3840x2160) [40.1 GB] || ", "release_date": "2021-05-05T10:25:00-04:00", "update_date": "2025-03-02T23:42:53.438902-05:00", "main_image": { "id": 409572, "url": "https://svs.gsfc.nasa.gov/vis/a010000/a012700/a012772/12772_hurricanes_and_aerosols_1080p_youtube_1080.00001_print.jpg", "filename": "12772_hurricanes_and_aerosols_1080p_youtube_1080.00001_print.jpg", "media_type": "Image", "alt_text": "Tracking aerosols over land and water from August 1 to November 1, 2017. Hurricanes and tropical storms are obvious from the large amounts of sea salt particles caught up in their swirling winds. The dust blowing off the Sahara, however, gets caught by water droplets and is rained out of the storm system. Smoke from the massive fires in the Pacific Northwest region of North America are blown across the Atlantic to the UK and Europe. This visualization is a result of combining NASA satellite data with sophisticated mathematical models that describe the underlying physical processes.Music: Elapsing Time by Christian Telford [ASCAP], Robert Anthony Navarro [ASCAP]Complete transcript available.Watch this video on the NASA Goddard YouTube channel.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411169, "type": "details_page", "extra_data": null, "instance": { "id": 4514, "url": "https://svs.gsfc.nasa.gov/4514/", "page_type": "Visualization", "title": "Carbon Dioxide from GMAO using Assimilated OCO-2 Data", "description": "Carbon Dioxide from the GEOS-5 modelThis video is also available on our YouTube channel. || co2_30.with_labels.2000_print.jpg (1024x576) [90.1 KB] || co2_30.with_labels.2000_searchweb.png (180x320) [64.0 KB] || co2_30.with_labels.2000_thm.png (80x40) [5.9 KB] || co2_30.with_labels_1080p30.mp4 (1920x1080) [75.6 MB] || co2_30.with_labels_1080p30.webm (1920x1080) [11.3 MB] || co2_30.with_labels_360p30.mp4 (640x360) [12.2 MB] || final_no_dates (3840x2160) [0 Item(s)] || final_with_labels (3840x2160) [0 Item(s)] || co2_30.with_labels.key [77.8 MB] || co2_30.with_labels.pptx [77.4 MB] || co2_30.with_labels_2160p30.mp4 (3840x2160) [306.7 MB] || co2_30.with_labels_1080p30.mp4.hwshow [192 bytes] || ", "release_date": "2016-12-13T14:00:00-05:00", "update_date": "2025-02-02T00:08:54.440493-05:00", "main_image": { "id": 418954, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004500/a004514/co2_30.with_labels.2000_print.jpg", "filename": "co2_30.with_labels.2000_print.jpg", "media_type": "Image", "alt_text": "Carbon Dioxide from the GEOS-5 modelThis video is also available on our YouTube channel.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411170, "type": "details_page", "extra_data": null, "instance": { "id": 30699, "url": "https://svs.gsfc.nasa.gov/30699/", "page_type": "Hyperwall Visual", "title": "Hazardous Air Quality Conditions in Singapore", "description": "Singapore region on September 24 and May 25, 2015, MODIS data only || singapore_smog_24_1080p_print.jpg (1024x576) [279.3 KB] || singapore_smog_24_1080p_searchweb.png (180x320) [129.9 KB] || singapore_smog_24_1080p_thm.png (80x40) [8.0 KB] || singapore_smog_24_1080p.mp4 (1920x1080) [7.0 MB] || singapore_smog_24_720p.mp4 (1280x720) [3.8 MB] || singapore_smog_24_720p.webm (1280x720) [4.6 MB] || singapore_modis_only_24_2304p.mp4 (4096x2304) [20.4 MB] || singapore_smog_24_360p.mp4 (640x360) [1.2 MB] || singapore_smog_ver2a.key [8.5 MB] || singapore_smog_ver2a.pptx [5.8 MB] || ", "release_date": "2015-11-27T00:00:00-05:00", "update_date": "2024-10-10T00:24:33.127482-04:00", "main_image": { "id": 433047, "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030600/a030699/singapore_smog_24_1080p_print.jpg", "filename": "singapore_smog_24_1080p_print.jpg", "media_type": "Image", "alt_text": "Singapore region on September 24 and May 25, 2015, MODIS data only", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411171, "type": "details_page", "extra_data": null, "instance": { "id": 4273, "url": "https://svs.gsfc.nasa.gov/4273/", "page_type": "Visualization", "title": "CALIPSO observes Saharan dust crossing the Atlantic Ocean", "description": "Subtitled visualization depicting Saharan dust travelling across the Atlantic Ocean to the Amazon Basin. MODIS imagery shows a 2D representation of the dust cloud, which is then compared to CALIPSO data curtains showing dust throughout the air column. Seasonal dust flux measurements are visualized using particles systems. Finally, average annual dust deposition into the Amazon Basin is shown by Amazon boundary import/export measurements. || Dust_Entire_1080p_60fps.3072_print.jpg (1024x576) [124.9 KB] || Dust_Entire_1080p_60fps.3072_searchweb.png (180x320) [69.8 KB] || Dust_Entire_1080p_60fps.3072_web.png (320x180) [69.8 KB] || Dust_Entire_1080p_60fps.3072_thm.png (80x40) [5.4 KB] || SaharanDust_720p_60fps.mp4 (1280x720) [73.6 MB] || SaharanDust_1080p_60fps.webm (1920x1080) [12.3 MB] || SaharanDust_1080p_60fps.mp4 (1920x1080) [189.6 MB] || entire_4k (3840x2160) [0 Item(s)] || Dust_4k_30fps_2160p.mp4 (3840x2160) [365.9 MB] || ", "release_date": "2015-02-24T09:55:00-05:00", "update_date": "2025-01-05T22:43:59.754494-05:00", "main_image": { "id": 445890, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004200/a004273/4273_African_Dust_Still.png", "filename": "4273_African_Dust_Still.png", "media_type": "Image", "alt_text": "SIGGRAPH VersionFor complete transcript, click here.", "width": 1920, "height": 1080, "pixels": 2073600 } } }, { "id": 411172, "type": "details_page", "extra_data": null, "instance": { "id": 4654, "url": "https://svs.gsfc.nasa.gov/4654/", "page_type": "Visualization", "title": "Evolution of the Meteorological Observing System in the MERRA-2 Reanalysis", "description": "Meteorological Observing Systems, 1980 and 2018. Data is revealed within a moving 1.5 hour window centered on the time shown. || gmao_HW.00300_print.jpg (1024x345) [102.7 KB] || gmao_HW.00300_searchweb.png (320x180) [93.0 KB] || gmao_HW.00300_thm.png (80x40) [6.4 KB] || gmao_HW_1920_648p30.webm (1920x648) [11.9 MB] || gmao_HW_1920_648p30.mp4 (1920x648) [134.3 MB] || 9600x3240_80x27_30p (9600x3240) [0 Item(s)] || ", "release_date": "2018-12-14T12:00:00-05:00", "update_date": "2025-02-18T00:07:41.242817-05:00", "main_image": { "id": 397860, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004600/a004654/gmao_2018_HW.0300_print.jpg", "filename": "gmao_2018_HW.0300_print.jpg", "media_type": "Image", "alt_text": "Meteorological Observing Systems, 2018. Data is revealed within a moving 1.5 hour window centered on the time shown.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411173, "type": "details_page", "extra_data": null, "instance": { "id": 30590, "url": "https://svs.gsfc.nasa.gov/30590/", "page_type": "Hyperwall Visual", "title": "From Observations to Models", "description": "NASA’s Global Modeling and Assimilation Office (GMAO) uses the Goddard Earth Observing System Model, Version 5 Data Assimilation System (GEOS­-5 DAS) to produce global numerical weather forecasts on a routine basis. GMAO forecasts play important roles in managing NASA’s fleet of science satellites and in researching the impact of new satellite observations. In order to provide timely information about the state of the atmosphere for NASA instrument teams and researchers, the GMAO runs the GEOS-­5 DAS four times each day in real time. For each forecast, it is necessary to provide accurate initial conditions that drive the GEOS-­5 forecasts. To do this, the best estimate of the full, three-dimensional atmospheric state is determined by combining the latest observations and a short-term, 6-­hour forecast—a process known as data assimilation. The GEOS-­5 DAS assimilates more than 5 million observations during each 6-hour assimilation period.These observations are assembled from a number of sources from around the globe, including NASA, NOAA, EUMETSAT (European Organization for the Exploitation of Meteorological Satellites), commercial airlines, the US Department of Defense, and many others. Similarly, each observation type has its own sampling characteristics. It can be seen in the animation how different observation types have different strategies. One of the main challenges of data assimilation is to understand how all these observations are alike, how they differ, and how they interact with each other.Funding for the development of the GEOS-5 model and data assimilation system development comes from NASA's Modeling, Analysis, and Prediction Program and the NASA Weather Focus Area's contribution to the Joint Center for Satellite Data Assimilation.The GEOS-5 DAS runs at the NASA Center for Climate Simulation, which is funded by NASA’s High-End Computing Program.For More Information:http://gmao.gsfc.nasa.gov/http://www.nccs.nasa.gov/images/data_assim_story_072815.pdf || ", "release_date": "2015-05-07T10:00:00-04:00", "update_date": "2025-03-03T00:03:01.288967-05:00", "main_image": { "id": 431584, "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030500/a030590/fig-wleg-wm-00720_print.jpg", "filename": "fig-wleg-wm-00720_print.jpg", "media_type": "Image", "alt_text": "This animation shows the global observations assimilated into the GEOS-5 data assimilation system over 6 hours. Data assimilation occurs four times per day.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411174, "type": "details_page", "extra_data": null, "instance": { "id": 4676, "url": "https://svs.gsfc.nasa.gov/4676/", "page_type": "Visualization", "title": "Sulfur Dioxide 2018 Update", "description": "China || so2_china_4K.0000_print.jpg (1024x576) [176.6 KB] || so2_china_4K.0000_thm.png (80x40) [6.0 KB] || so2_china_4K.0000_searchweb.png (320x180) [81.6 KB] || so2_china_4K.0000_web.png (320x180) [81.6 KB] || china (3840x2160) [64.0 KB] || so2_china_4K_2160p30.webm (3840x2160) [4.1 MB] || so2_china_4K_2160p30.mp4 (3840x2160) [113.0 MB] || ", "release_date": "2019-02-12T00:00:00-05:00", "update_date": "2024-10-06T00:13:16.427997-04:00", "main_image": { "id": 397384, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004600/a004676/so2_china_4K.0000_print.jpg", "filename": "so2_china_4K.0000_print.jpg", "media_type": "Image", "alt_text": "China", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411175, "type": "details_page", "extra_data": null, "instance": { "id": 30637, "url": "https://svs.gsfc.nasa.gov/30637/", "page_type": "Hyperwall Visual", "title": "GEOS-5 Aerosols Simulation for SC 2014", "description": "GEOS-5 aerosols shown at SC 2014. || aerosols-sc2014-preview.jpg (1024x512) [140.7 KB] || aerosols_globe_c1440_NR_BETA9-SNAP_20070228_2200z_searchweb.png (180x320) [97.6 KB] || aerosols_globe_c1440_NR_BETA9-SNAP_20070228_2200z_thm.png (80x40) [7.4 KB] || aerosols (1920x1080) [0 Item(s)] || aerosols-sc14.webm (1920x1080) [10.2 MB] || aerosols-sc14.mp4 (1920x1080) [155.5 MB] || 30637_aerosols_sim_1920x1080.mp4 (1920x1080) [204.3 MB] || aerosols (5760x2881) [0 Item(s)] || 30637_aerosols_sim_4K.mp4 (4096x2048) [206.8 MB] || 30637_aerosols_sim_UHD_large.mp4 (3840x2160) [206.3 MB] || 30637_aerosols_sim_1280x720_prores.mov (1280x720) [1.5 GB] || 30637_aerosols_sim_UHD_youtube_hq.mov (3840x2160) [4.0 GB] || 30637_aerosols_sim_UHD.mov (3840x2160) [11.2 GB] || 30637_aerosols_sim_MASTER.mov (5760x2881) [23.5 GB] || ", "release_date": "2014-12-10T00:00:00-05:00", "update_date": "2025-01-06T02:25:05.777504-05:00", "main_image": { "id": 432604, "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030600/a030637/aerosols_globe_c1440_NR_BETA9-SNAP_20070228_2200z_searchweb.png", "filename": "aerosols_globe_c1440_NR_BETA9-SNAP_20070228_2200z_searchweb.png", "media_type": "Image", "alt_text": "GEOS-5 aerosols shown at SC 2014.", "width": 180, "height": 320, "pixels": 57600 } } }, { "id": 411176, "type": "details_page", "extra_data": null, "instance": { "id": 4377, "url": "https://svs.gsfc.nasa.gov/4377/", "page_type": "Visualization", "title": "A 3-D Look at Weather, Clouds, and Aerosols", "description": "This gallery was created for Earth Science Week 2015 and beyond. It includes a quick start guide for educators and first-hand stories (blogs) for learners of all ages by NASA visualizers, scientists and educators. We hope that your understanding and use of NASA's visualizations will only increase as your appreciation grows for the beauty of the science they portray, and the communicative power they hold. Read all the blogs and find educational resources for all ages at: The Earth Science Week 2015 page.I've always been fascinated by our atmosphere. Think about it: even though we don't see it, above us is a great aerial ocean! Over time my fascination has grown from weather maps and pondering the origins of storms, to learning all about the physics that surround our everyday lives. From as early as grade school I was also very interested in computers: diagnosing errors, developing programming skills and learning all about hardware and operating systems. So you might say my interests naturally led me to a career as a NASA scientist, where I create visualizations to study the underlying factors that drive weather patterns. Visualizations help us to see the world differently and actively.Many of you have no doubt seen your homes from space using a program called Google Earth™. But did you know you could do a lot more with the right data? In fact I often use it to map atmospheric data in three-dimensions (3-D) around the globe. But one of the challenges I often face is that data comes from many different sources, such as NASA and NOAA satellites or ground-observation stations. This means the data is stored on computer disks all over the country and are named and organized according to different standards, requiring us to customize techniques for producing accurate visualizations in one, 3-D display of the Earth. We do this in order to analyze atmospheric relationships more easily because many weather phenomena arise from physical interactions, both horizontally and vertically, in the global circulation.A big part of atmospheric research relies on using computer models to simulate what our atmosphere will do under different conditions. A great example of this is the data used to prepare the daily weather forecast. This data originates from weather forecasting models that calculate atmospheric motions using the world’s fastest supercomputers. But how do we know these forecasts are accurate? Researchers can verify a model's performance by visualizing one of the variables such as temperature, humidity, wind speed, wind direction, or air pressure and then using color shading, contour curves, and wind \"barbs\" to graph that data. Then they overlay the observations from NASA satellites such as cloud-top imagery, cloud-top temperature, and vertical distributions of clouds and aerosols, with the graph (it can be challenging to synchronize the data display as these times usually don't match). After this process, the display confirms the model's accuracy. This method is used to study many atmospheric events, such as timing of a storm system, precipitation, or the direction of dust or smoke transport. || ", "release_date": "2015-10-02T16:00:00-04:00", "update_date": "2025-01-05T22:50:24.287575-05:00", "main_image": { "id": 439117, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004300/a004377/hurricane-sandy-atlantic.png", "filename": "hurricane-sandy-atlantic.png", "media_type": "Image", "alt_text": "Hurricane Sandy over the Atlantic OceanGeostationary satellites captured the infrared (IR) radiation imagery on October 28, 2012 (18:00 UTC). After adding color enhancements, one can see towering clouds as red colors and cloud-free areas as gray colors. Also displayed are white contour curves of mean sea-level pressure, with an interval of 1.5 hPa, from NOAA’s Global Forecast System (GFS) weather model. All data is visualized in Google Earth™. Contrast the labeled areas of low pressure (L) and high pressure (H). What differences do you see?", "width": 919, "height": 587, "pixels": 539453 } } }, { "id": 411177, "type": "details_page", "extra_data": null, "instance": { "id": 4683, "url": "https://svs.gsfc.nasa.gov/4683/", "page_type": "Visualization", "title": "NASA Scientists see Gravity Waves in Concentric Rings", "description": "NASA scientists have tracked gravity waves traveling thousands of miles across our atmosphere in concentric rings. Large storms can create these waves, which grow and spread upward hundreds of miles above Earth's surface. The AIRS instrument on NASA's Aqua satellite detected gravity waves in the troposphere and stratosphere 12 hours before a deadly EF5 tornado in Moore, Oklahoma, in 2013. On the instrument's next pass 11 hours later, it detected even stronger waves.We pull up 250 miles to the ionosphere, where the waves can be observed by GPS satellites. Here gravity waves are shown in greens and yellows, like ripples in a pond. The waves and tornado were both produced by a long-lived storm system.Understanding the spread of gravity waves improves global weather forecasting and space weather forecasting.Complete transcript available.This video is also available on our YouTube channel. || GravityWavesBeforeAfterMooreTornado_0740_print.jpg (1024x576) [131.1 KB] || GravityWavesBeforeAfterMooreTornado_0740_searchweb.png (320x180) [102.9 KB] || GravityWavesBeforeAfterMooreTornado_0740_thm.png (80x40) [8.3 KB] || GravityWavesBeforeAfterMooreTornado_0740.tif (1920x1080) [3.2 MB] || GravityWavesMooreOK-SameWordsDifferentOrder.webm (1920x1080) [7.4 MB] || GWfacebook-AIRS-TEC-GOES-4k-audio.mp4 (1920x1080) [76.1 MB] || GravityWavesMooreOK-SameWordsDifferentOrder.mp4 (1920x1080) [117.1 MB] || composite (3849x2160) [0 Item(s)] || GW4k-AIRS-TEC-GOES-4k-audio-youtube.en_US.srt [1.2 KB] || GW4k-AIRS-TEC-GOES-4k-audio-youtube.en_US.vtt [1.2 KB] || GW4k-AIRS-TEC-GOES-4k-audio-youtube.mp4 (3840x2160) [240.0 MB] || GWfacebook-AIRS-TEC-GOES-4k-audio.mp4.hwshow [199 bytes] || ", "release_date": "2018-10-10T00:00:00-04:00", "update_date": "2025-01-06T00:13:29.950454-05:00", "main_image": { "id": 400206, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004600/a004683/GravityWavesBeforeAfterMooreTornado_0740_print.jpg", "filename": "GravityWavesBeforeAfterMooreTornado_0740_print.jpg", "media_type": "Image", "alt_text": "NASA scientists have tracked gravity waves traveling thousands of miles across our atmosphere in concentric rings. Large storms can create these waves, which grow and spread upward hundreds of miles above Earth's surface. \rThe AIRS instrument on NASA's Aqua satellite detected gravity waves in the troposphere and stratosphere 12 hours before a deadly EF5 tornado in Moore, Oklahoma, in 2013. On the instrument's next pass 11 hours later, it detected even stronger waves.\r\rWe pull up 250 miles to the ionosphere, where the waves can be observed by GPS satellites. Here gravity waves are shown in greens and yellows, like ripples in a pond. \r The waves and tornado were both produced by a long-lived storm system.\rUnderstanding the spread of gravity waves improves global weather forecasting and space weather forecasting.\rComplete transcript available.This video is also available on our YouTube channel.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411178, "type": "details_page", "extra_data": null, "instance": { "id": 30394, "url": "https://svs.gsfc.nasa.gov/30394/", "page_type": "Hyperwall Visual", "title": "Monthly Aerosol Optical Thickness (Aqua/MODIS)", "description": "Tiny solid and liquid particles suspended in the atmosphere are called aerosols. These particles are important to scientists because they represent an area of great uncertainty in their efforts to understand Earth's climate system.These maps show monthly aerosol optical thickness, derived using measurements from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor onboard NASA’s Aqua satellite, from July 2002 to the present. Aerosol optical thickness is a measure of how much light the airborne particles prevent from traveling through the atmosphere. Aerosols absorb and scatter incoming sunlight, thus reducing visibility and increasing optical thickness. Dark orange pixels show high aerosol concentrations, while light orange pixels show lower concentrations, and light yellow areas show little or no aerosols. Black shows where the sensor could not make its measurement. An optical thickness of less than 0.1 (light yellow) indicates a crystal clear sky with maximum visibility, whereas a value of 1 (dark orange) indicates the presence of aerosols so dense that people would have difficulty seeing the sun. || ", "release_date": "2013-10-24T12:00:00-04:00", "update_date": "2024-12-15T23:35:51.952841-05:00", "main_image": { "id": 429862, "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030300/a030394/mydal2_m_aer_od_2013-08_print.jpg", "filename": "mydal2_m_aer_od_2013-08_print.jpg", "media_type": "Image", "alt_text": "Monthly Aqua/MODIS aerosol optical thickness, July 2002 to the present.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411179, "type": "details_page", "extra_data": null, "instance": { "id": 30395, "url": "https://svs.gsfc.nasa.gov/30395/", "page_type": "Hyperwall Visual", "title": "Monthly Aerosol Particle Radius (Aqua/MODIS)", "description": "Tiny solid and liquid particles suspended in the atmosphere are called aerosols. These particles are important to scientists because they can affect climate, weather, and people's health. Using satellites scientists can tell whether a given plume of aerosols came from a natural source or were produced by human activities. Two important clues about aerosols' sources are particle size and location of the plume. Natural aerosols (such as dust and sea salts) tend to be larger than man-made aerosols (such as smoke and industrial pollution). These maps show monthly aerosol particle radius from July 2002 to the present, derived using data from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor onboard NASA’s Aqua satellite. Red areas show aerosol plumes made up of smaller particles. These red-colored plumes are over regions where we know humans produce pollution. Green areas show aerosol plumes made up of larger particles. These green-colored plumes are over regions where we know aerosols occur naturally. Yellow areas show plumes in which large and small aerosol particles are intermingling. Black shows where the satellite could not measure aerosols. Maps such as these allow scientists to estimate the location and size of aerosol particles present in the atmosphere. || ", "release_date": "2013-10-24T12:00:00-04:00", "update_date": "2024-12-15T23:35:52.660353-05:00", "main_image": { "id": 429882, "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030300/a030395/mydal2_m_aer_ra_2013-08_print.jpg", "filename": "mydal2_m_aer_ra_2013-08_print.jpg", "media_type": "Image", "alt_text": "Monthly Aqua/MODIS aerosol particle radius, July 2002 to the present.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411180, "type": "details_page", "extra_data": null, "instance": { "id": 4431, "url": "https://svs.gsfc.nasa.gov/4431/", "page_type": "Visualization", "title": "Ozone Transport in the Tropical Western Pacific", "description": "An animation showing flight 13 from the CONTRAST campaign and the backflow trajectories. The trajectories are coloured by observed aircraft ozone level where blue values represent low concentrations of ozone and red represents high values. This includes a date and colorbar. || ozoneTransport_wColorBar2.1999_print.jpg (1024x576) [176.0 KB] || ozoneTransport_wColorBar2.1999_web.png (320x180) [93.8 KB] || ozoneTransport_wColorBar2.1999_thm.png (80x40) [7.2 KB] || ozoneTransport.1999_searchweb.png (320x180) [98.3 KB] || ozoneTransport_wColorBar2_1080p30.mp4 (1920x1080) [28.4 MB] || ozoneTransport_wColorBar2_1080p30.webm (1920x1080) [7.8 MB] || OzoneTransport_wColorBar (3840x2160) [0 Item(s)] || ozoneTransport_wColorBar2_2160p30.mp4 (3840x2160) [67.6 MB] || ozoneTransport_wColorBar2_1080p30.mp4.hwshow [238 bytes] || ", "release_date": "2016-02-24T16:00:00-05:00", "update_date": "2025-01-08T14:35:56.933989-05:00", "main_image": { "id": 1140638, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004400/a004431/ozoneTransport.1999_searchweb.png", "filename": "ozoneTransport.1999_searchweb.png", "media_type": "Image", "alt_text": "An animation showing flight 13 from the CONTRAST campaign and the backflow trajectories. The trajectories are coloured by observed aircraft ozone level where blue values represent low concentrations of ozone and red represents high values. This includes a date and colorbar.", "width": 320, "height": 180, "pixels": 57600 } } }, { "id": 411181, "type": "details_page", "extra_data": null, "instance": { "id": 3926, "url": "https://svs.gsfc.nasa.gov/3926/", "page_type": "Visualization", "title": "NPP Ceres Longwave Radiation", "description": "The CERES experiment is one of the highest priority scientific satellite instruments developed for NASA's Earth Observing System (EOS). The doors are open on NASA's Suomi NPP satellite and the newest version of the Clouds and the Earth's Radiant Energy System (CERES) instrument is scanning Earth for the first time, helping to assure continued availability of measurements of the energy leaving the Earth-atmosphere system.CERES products include both solar-reflected and Earth-emitted radiation from the top of the atmosphere to the Earth's surface. Cloud properties are determined using simultaneous measurements by other EOS and NPP instruments such as the Moderate Resolution Imaging Spectroradiometer (MODIS) and the Visible and Infrared Sounder (VIRS). Analyses using CERES data, build upon the foundation laid by previous missions such as NASA Earth Radiation Budget Experiment (ERBE), leading to a better understanding of the role of clouds and the energy cycle in global climate change.The sun's radiant energy is the fuel that drives Earth's climate engine. The Earth-atmosphere system constantly tries to maintain a balance between the energy that reaches the Earth from the sun and the energy that flows from Earth back out to space. Energy received from the sun is mostly in the visible (or shortwave) part of the electromagnetic spectrum. About 30% of the solar energy that comes to Earth is reflected back to space. The ratio of reflected-to-incoming energy is called \"albedo\" from the Latin word meaning whiteness. The solar radiation absorbed by the Earth causes the planet to heat up until it is radiating (or emitting) as much energy back into space as it absorbs from the sun. The Earth's thermal emitted radiation is mostly in the infrared (or longwave part of the spectrum. The balance between incoming and outgoing energy is called the Earth's radiation budget.This global view shows CERES top-of-atmosphere (TOA) longwave radiation from Jan 26 and 27, 2012. Heat energy radiated from Earth (in watts per square meter) is shown in shades of yellow, red, blue and white. The brightest-yellow areas are the hottest and are emitting the most energy out to space, while the dark blue areas and the bright white clouds are much colder, emitting the least energy. Increasing temperature, decreasing water vapor, and decreasing clouds will all tend to increase the ability of Earth to shed heat out to space.For more information on the Clouds and Earth's Radiant Energy System (CERES) see http://ceres.larc.nasa.gov || ", "release_date": "2012-07-22T00:00:00-04:00", "update_date": "2025-01-05T22:11:17.089627-05:00", "main_image": { "id": 477782, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a003900/a003926/longwaveglobe_withColortable001.jpg", "filename": "longwaveglobe_withColortable001.jpg", "media_type": "Image", "alt_text": "This is longwave flux radiation at the top-of-atmosphere from Jan 26-27, 2012. Heat energy radiated from Earth (in watts per square meter) is shown in shades of yellow, red, blue and white. The brightest-yellow areas are the hottest and are emitting the most energy out to space, while the dark blue areas and the bright white clouds are much colder, emitting the least energy. This version has a colortable overlay.", "width": 1920, "height": 1080, "pixels": 2073600 } } }, { "id": 411182, "type": "details_page", "extra_data": null, "instance": { "id": 3925, "url": "https://svs.gsfc.nasa.gov/3925/", "page_type": "Visualization", "title": "NPP Ceres Shortwave Radiation", "description": "The CERES experiment is one of the highest priority scientific satellite instruments developed for NASA's Earth Observing System (EOS). The doors are open on NASA's Suomi NPP satellite and the newest version of the Clouds and the Earth's Radiant Energy System (CERES) instrument is scanning Earth for the first time, helping to assure continued availability of measurements of the energy leaving the Earth-atmosphere system.CERES products include both solar-reflected and Earth-emitted radiation from the top of the atmosphere to the Earth's surface. Cloud properties are determined using simultaneous measurements by other EOS and NPP instruments such as the Moderate Resolution Imaging Spectroradiometer (MODIS) and the Visible and Infrared Sounder (VIRS). Analyses using CERES data, build upon the foundation laid by previous missions such as NASA Earth Radiation Budget Experiment (ERBE), leading to a better understanding of the role of clouds and the energy cycle in global climate change. The sun's radiant energy is the fuel that drives Earth's climate engine. The Earth-atmosphere system constantly tries to maintain a balance between the energy that reaches the Earth from the sun and the energy that flows from Earth back out to space. Energy received from the sun is mostly in the visible (or shortwave) part of the electromagnetic spectrum. About 30% of the solar energy that comes to Earth is reflected back to space. The ratio of reflected-to-incoming energy is called \"albedo\" from the Latin word meaning whiteness. The solar radiation absorbed by the Earth causes the planet to heat up until it is radiating (or emitting) as much energy back into space as it absorbs from the sun. The Earth's thermal emitted radiation is mostly in the infrared (or longwave part of the spectrum. The balance between incoming and outgoing energy is called the Earth's radiation budget. This global view shows CERES top-of-atmosphere (TOA) shortwave radiation from Jan 26 and 27, 2012. Thick cloud cover tends to reflect a large amount of incoming solar energy back to space (blue/green/white image). For more information on the Clouds and Earth's Radiant Energy System (CERES) see http://ceres.larc.nasa.gov || ", "release_date": "2012-07-22T00:00:00-04:00", "update_date": "2025-01-05T22:11:16.682672-05:00", "main_image": { "id": 477748, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a003900/a003925/shortglobe_withColortable001.jpg", "filename": "shortglobe_withColortable001.jpg", "media_type": "Image", "alt_text": "CERES Top-of-Atmophere (TOA) shortwave flux radiation shows energy reflected by the Earth on Jan 26 and 27, 2012. This version has the colorbar overlay. ", "width": 1920, "height": 1080, "pixels": 2073600 } } }, { "id": 411183, "type": "details_page", "extra_data": null, "instance": { "id": 30988, "url": "https://svs.gsfc.nasa.gov/30988/", "page_type": "Hyperwall Visual", "title": "Earth System Diagram", "description": "Diagram showing parts of the Earth system. || earth_system_diagram_print.jpg (1024x574) [115.6 KB] || earth_system_diagram.png (4104x2304) [1.2 MB] || earth_system_diagram_searchweb.png (320x180) [63.5 KB] || earth_system_diagram_thm.png (80x40) [6.6 KB] || earth_system_diagram.hwshow [208 bytes] || ", "release_date": "2018-08-29T00:00:00-04:00", "update_date": "2024-10-11T00:27:38.834246-04:00", "main_image": { "id": 400879, "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030900/a030988/earth_system_diagram_print.jpg", "filename": "earth_system_diagram_print.jpg", "media_type": "Image", "alt_text": "Diagram showing parts of the Earth system.", "width": 1024, "height": 574, "pixels": 587776 } } } ], "extra_data": {} }, { "id": 371394, "url": "https://svs.gsfc.nasa.gov/gallery/nasaearth-science/#media_group_371394", "widget": "Tile gallery", "title": "Weather and Atmospheric Dynamics", "caption": "", "description": "The Weather and Atmospheric Dynamics focus area (WAD) supports research to obtain accurate measurements of the atmosphere that help improve short-term, subseasonal, and seasonal weather predictions at local, regional, and global scales. Weather includes everything from localized microphysical processes that occur in minutes, to global-scale phenomena that can occur for an entire season. WAD helps improve our knowledge of the fundamental processes that drive these systems and inform the operational infrastructure upon which other federal agencies rely, including the National Oceanic and Atmospheric Administration (NOAA), the Federal Aviation Administration (FAA), and the Department of Defense (DOD). WAD further supports research into profiling winds, temperature, humidity, pressure, and aerosols; air-sea and land-atmosphere interactions; and lightning occurrences.", "items": [ { "id": 411184, "type": "details_page", "extra_data": null, "instance": { "id": 5150, "url": "https://svs.gsfc.nasa.gov/5150/", "page_type": "Visualization", "title": "GEOS-FP Near-Surface Humidity", "description": "Near-surface Humidity, also known as specific humidity (Q2M) from NASA’s GEOS-FP system. GEOS-FP combines millions of weather observations with a predictive model to create a global best estimate of weather conditions that are used to begin a forecast.", "release_date": "2023-09-26T17:00:00-04:00", "update_date": "2026-05-04T02:24:42.184890-04:00", "main_image": { "id": 1202189, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a005100/a005150/MC04_stage3_GMAO_near_surface_humidity_2048x1024.png", "filename": "MC04_stage3_GMAO_near_surface_humidity_2048x1024.png", "media_type": "Image", "alt_text": "", "width": 2048, "height": 1024, "pixels": 2097152 } } }, { "id": 411185, "type": "details_page", "extra_data": null, "instance": { "id": 5149, "url": "https://svs.gsfc.nasa.gov/5149/", "page_type": "Visualization", "title": "GEOS-FP Precipitation and Clouds", "description": "Precipitation and clouds are calculated using fields from NASA’s GEOS-FP system. GEOS-FP combines millions of weather observations with a predictive model to create a global best estimate of weather conditions, which can be used to estimate the formation of clouds along with rain and snowfall.", "release_date": "2023-09-26T17:00:00-04:00", "update_date": "2026-05-04T02:19:52.629232-04:00", "main_image": { "id": 858332, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a005100/a005149/MC03_stage3_GMAO_precipitation_2048x1024_en.00001_print.jpg", "filename": "MC03_stage3_GMAO_precipitation_2048x1024_en.00001_print.jpg", "media_type": "Image", "alt_text": "Precipitation and clouds are calculated using fields from NASA’s GEOS-FP system. GEOS-FP combines millions of weather observations with a predictive model to create a global best estimate of weather conditions, which can be used to estimate the formation of clouds along with rain and snowfall.", "width": 1024, "height": 512, "pixels": 524288 } } }, { "id": 411186, "type": "details_page", "extra_data": null, "instance": { "id": 5148, "url": "https://svs.gsfc.nasa.gov/5148/", "page_type": "Visualization", "title": "GEOS-FP Near-Surface Wind Speed", "description": "Near-surface wind speed is calculated by sampling 3-D atmospheric fields from NASA’s GEOS-FP system 10 meters above Earth’s surface. GEOS-FP combines millions of weather observations with a predictive model to create a global best estimate of weather conditions that are used to begin a forecast.", "release_date": "2023-09-26T17:00:00-04:00", "update_date": "2026-05-04T02:12:11.861050-04:00", "main_image": { "id": 858325, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a005100/a005148/MC02_stage3_GMAO_near_surface_wind_2048x1024_en.00001_print.jpg", "filename": "MC02_stage3_GMAO_near_surface_wind_2048x1024_en.00001_print.jpg", "media_type": "Image", "alt_text": "Near-surface wind speed is calculated by sampling 3-D atmospheric fields from NASA’s GEOS-FP system 10 meters above Earth’s surface. GEOS-FP combines millions of weather observations with a predictive model to create a global best estimate of weather conditions that are used to begin a forecast.", "width": 1024, "height": 512, "pixels": 524288 } } }, { "id": 411187, "type": "details_page", "extra_data": null, "instance": { "id": 5147, "url": "https://svs.gsfc.nasa.gov/5147/", "page_type": "Visualization", "title": "GEOS-FP Near-Surface Temperature", "description": "Near-surface temperature is calculated by sampling 3-D atmospheric fields from NASA’s GEOS-FP system 3 meters above Earth’s surface. GEOS-FP combines millions of weather observations with a predictive model to create a global best estimate of weather conditions that are used to begin a forecast.", "release_date": "2023-09-26T17:00:00-04:00", "update_date": "2026-05-04T02:03:13.094483-04:00", "main_image": { "id": 858328, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a005100/a005147/MC01_stage3_GMAO_near_surface_temperature_2048x1024_en.00001_print.jpg", "filename": "MC01_stage3_GMAO_near_surface_temperature_2048x1024_en.00001_print.jpg", "media_type": "Image", "alt_text": "Near surface temperature is calculated by sampling 3-D atmospheric fields from NASA’s GEOS-FP system 3 meters above Earth’s surface. GEOS-FP combines millions of weather observations with a predictive model to create a global best estimate of weather conditions that are used to begin a forecast.", "width": 1024, "height": 512, "pixels": 524288 } } }, { "id": 411188, "type": "details_page", "extra_data": null, "instance": { "id": 4940, "url": "https://svs.gsfc.nasa.gov/4940/", "page_type": "Visualization", "title": "Hurricane Nicholas Brings More Heavy Rain to the Northern Gulf Coast", "description": "This data visualization depicts Hurricane Nicholas on September 14, 2021 several hours after making landfall along the Northern Gulf coast. Although Nicholas was not a powerful or long-lived hurricane, it did bring several inches of rain to a region that had recently been hit by powerful Hurricane Ida two weeks prior. || nicholas1_001.2400_print.jpg (1024x576) [213.8 KB] || nicholas1_001.2400_searchweb.png (320x180) [115.5 KB] || nicholas1_001.2400_thm.png (80x40) [8.4 KB] || nicholas1_001_1080p30_4.mp4 (1920x1080) [61.4 MB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || nicholas1_001_1080p30_4.webm (1920x1080) [6.9 MB] || nicholas1_001_1080p30_4.mp4.hwshow [189 bytes] || ", "release_date": "2021-09-17T00:00:00-04:00", "update_date": "2025-01-06T00:19:05.098027-05:00", "main_image": { "id": 440368, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004900/a004940/nicholas1_001.2400_print.jpg", "filename": "nicholas1_001.2400_print.jpg", "media_type": "Image", "alt_text": "This data visualization depicts Hurricane Nicholas on September 14, 2021 several hours after making landfall along the Northern Gulf coast. Although Nicholas was not a powerful or long-lived hurricane, it did bring several inches of rain to a region that had recently been hit by powerful Hurricane Ida two weeks prior.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411189, "type": "details_page", "extra_data": null, "instance": { "id": 4933, "url": "https://svs.gsfc.nasa.gov/4933/", "page_type": "Visualization", "title": "NASA/JAXA GPM Satellite Examines Hurricane Ida's Eye", "description": "Hurricane Ida off the Louisiana coast as a Category 4 hurricane on the morning of Sunday, August 29th at 10:13am (CDT) right before making landfall. This animation varies from the previous (#4932) by flying down to the left side of the storm and only peeling back the layers of volumetric DPR data up to the eye. The camera then flies up to get a straight down bird's eye view of the structure. Doing so allows us to see the multiple bands that extend outside of the inner eye wall. || ida2001.4300_print.jpg (1024x576) [238.8 KB] || ida2001.4300_searchweb.png (180x320) [123.5 KB] || ida2001.4300_thm.png (80x40) [8.8 KB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || ida2001_1080p30.webm (1920x1080) [6.2 MB] || ida2001_1080p30.mp4 (1920x1080) [95.4 MB] || ida2001_1080p30.mp4.hwshow [182 bytes] || ", "release_date": "2021-08-30T17:00:00-04:00", "update_date": "2025-01-06T00:19:02.771842-05:00", "main_image": { "id": 440358, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004900/a004933/ida2001.4300_print.jpg", "filename": "ida2001.4300_print.jpg", "media_type": "Image", "alt_text": "Hurricane Ida off the Louisiana coast as a Category 4 hurricane on the morning of Sunday, August 29th at 10:13am (CDT) right before making landfall. This animation varies from the previous (#4932) by flying down to the left side of the storm and only peeling back the layers of volumetric DPR data up to the eye. The camera then flies up to get a straight down bird's eye view of the structure. Doing so allows us to see the multiple bands that extend outside of the inner eye wall.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411190, "type": "details_page", "extra_data": null, "instance": { "id": 4932, "url": "https://svs.gsfc.nasa.gov/4932/", "page_type": "Visualization", "title": "NASA/JAXA GPM Satellite Eyes Hurricane Ida Shortly Before Landfall", "description": "Hurricane Ida off the Louisiana coast as a Category 4 hurricane on the morning of Sunday, August 29th at 10:13am (CDT) right before making landfall. || ida001.2300_print.jpg (1024x576) [221.2 KB] || ida001.2300_searchweb.png (320x180) [121.6 KB] || ida001.2300_thm.png (80x40) [8.2 KB] || ida001_1080p30_4.mp4 (1920x1080) [69.1 MB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || ida001_1080p30_4.webm (1920x1080) [6.6 MB] || ida001_1080p30_4.mp4.hwshow [182 bytes] || ", "release_date": "2021-08-30T13:00:00-04:00", "update_date": "2025-01-06T00:19:02.631741-05:00", "main_image": { "id": 440348, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004900/a004932/ida001.2300_print.jpg", "filename": "ida001.2300_print.jpg", "media_type": "Image", "alt_text": "Hurricane Ida off the Louisiana coast as a Category 4 hurricane on the morning of Sunday, August 29th at 10:13am (CDT) right before making landfall.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411191, "type": "details_page", "extra_data": null, "instance": { "id": 4926, "url": "https://svs.gsfc.nasa.gov/4926/", "page_type": "Visualization", "title": "NASA/JAXA GPM Satellite Sees Tropical Storm Fred Make Florida Landfall", "description": "This data visualization shows Tropical Storm Fred as it makes landfall on August 16 along the Florida panhandle and then follows it inland on August 17 as it soaked the Alabama Georgia border. || TS_Fred_Comp.2955_print.jpg (1024x576) [270.2 KB] || Composite (1920x1080) [0 Item(s)] || TS_Fred_Comp_1080p30.webm (1920x1080) [11.8 MB] || TS_Fred_Comp_1080p30.mp4 (1920x1080) [102.0 MB] || ", "release_date": "2021-08-17T15:00:00-04:00", "update_date": "2025-01-06T00:18:59.061159-05:00", "main_image": { "id": 440335, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004900/a004926/fred001.4200_print.jpg", "filename": "fred001.4200_print.jpg", "media_type": "Image", "alt_text": "The Global Precipitation Measurement (GPM) Core Observatory satellite flew over Tropical Storm Fred at 18:41Z on August 16, 2021 as it made landfall over the Florida pan handle. GPM observed the storm’s rainfall with its two unique science instruments: the GPM Microwave Imager (GMI) and Dual-frequency Precipitation Radar (DPR).", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411192, "type": "details_page", "extra_data": null, "instance": { "id": 4919, "url": "https://svs.gsfc.nasa.gov/4919/", "page_type": "Visualization", "title": "NASA/JAXA GPM Satellite Watches Tropical Storm Nepartak During the Olympics", "description": "Tropical Storm Nepartak was seen off the coast of Japan on July 27, 2021 while the Olympics were being held in nearby Tokyo. || nepartak001.4300_print.jpg (1024x576) [187.9 KB] || nepartak001.4300_searchweb.png (320x180) [109.0 KB] || nepartak001.4300_thm.png (80x40) [8.4 KB] || nepartak001_1080p30_2.mp4 (1920x1080) [57.7 MB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || nepartak001_1080p30_2.webm (1920x1080) [10.9 MB] || nepartak001_1080p30_2.mp4.hwshow [187 bytes] || ", "release_date": "2021-07-30T00:00:00-04:00", "update_date": "2025-01-06T00:18:57.221455-05:00", "main_image": { "id": 440321, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004900/a004919/nepartak001.4300_print.jpg", "filename": "nepartak001.4300_print.jpg", "media_type": "Image", "alt_text": "Tropical Storm Nepartak was seen off the coast of Japan on July 27, 2021 while the Olympics were being held in nearby Tokyo.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411193, "type": "details_page", "extra_data": null, "instance": { "id": 4849, "url": "https://svs.gsfc.nasa.gov/4849/", "page_type": "Visualization", "title": "Godzilla Dust Storm", "description": "Visualization of the Godzilla Dust Storm during June 2020. || GodzillaShot1_1920x1080_60fps_2222_print.jpg (1024x576) [259.0 KB] || GodzillaShot1_1920x1080_60fps_2222_searchweb.png (320x180) [117.7 KB] || GodzillaShot1_1920x1080_60fps_2222_thm.png (80x40) [8.7 KB] || GlobalView (1920x1080) [0 Item(s)] || GlobalView (1920x1080) [0 Item(s)] || GodzillaShot1_1920x1080_60fps_2222.tif (1920x1080) [10.2 MB] || GodzillaShot1_1920x1080p30.webm (1920x1080) [8.7 MB] || GodzillaShot1_1920x1080p30.mp4 (1920x1080) [115.7 MB] || GlobalView (3840x2160) [0 Item(s)] || GodzillaShot1_3840x2160_60fps_2222.tif (3840x2160) [38.1 MB] || GlobalView (3840x2160) [0 Item(s)] || GodzillaShot1_3840x2160p30.mp4 (3840x2160) [377.9 MB] || GodzillaShot1_3840x2160p60.mp4 (3840x2160) [425.4 MB] || GodzillaShot1_1920x1080p30.mp4.hwshow [192 bytes] || ", "release_date": "2021-04-19T09:30:00-04:00", "update_date": "2025-01-06T00:18:23.800886-05:00", "main_image": { "id": 379251, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004800/a004849/GodzillaShot1_1920x1080_60fps_2222_print.jpg", "filename": "GodzillaShot1_1920x1080_60fps_2222_print.jpg", "media_type": "Image", "alt_text": "Visualization of the Godzilla Dust Storm during June 2020.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411194, "type": "details_page", "extra_data": null, "instance": { "id": 4897, "url": "https://svs.gsfc.nasa.gov/4897/", "page_type": "Visualization", "title": "Seasonal Global Precipitation Variation from the Global Precipitation Measurement Constellation", "description": "An animation of the most recent variation in global precipitation data from IMERG.", "release_date": "2021-04-12T08:00:00-04:00", "update_date": "2026-05-04T01:03:05.525808-04:00", "main_image": { "id": 378441, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004800/a004897/imergvar_composite_1080p15.00001_print.jpg", "filename": "imergvar_composite_1080p15.00001_print.jpg", "media_type": "Image", "alt_text": "An animation of the most recent variation in global precipitation data from IMERG.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411195, "type": "details_page", "extra_data": null, "instance": { "id": 4845, "url": "https://svs.gsfc.nasa.gov/4845/", "page_type": "Visualization", "title": "NASA/JAXA GPM Satellite Sees Eta Make Second Florida Landfall", "description": "Tropical Storm Eta over the Florida west coast on November 11, 2020 at approximately 9:11 EST (14:11Z). || eta1111.2200_print.jpg (1024x576) [133.1 KB] || eta1111.2200_searchweb.png (320x180) [114.9 KB] || eta1111.2200_thm.png (80x40) [7.8 KB] || eta1111.mp4 (1920x1080) [86.4 MB] || exrs (1920x1080) [0 Item(s)] || tifs (1920x1080) [0 Item(s)] || eta1111.webm (1920x1080) [6.0 MB] || eta1111.mp4.hwshow [173 bytes] || ", "release_date": "2020-11-12T14:00:00-05:00", "update_date": "2025-01-06T00:18:22.682614-05:00", "main_image": { "id": 440310, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004800/a004845/eta1111.2200_print.jpg", "filename": "eta1111.2200_print.jpg", "media_type": "Image", "alt_text": "Tropical Storm Eta over the Florida west coast on November 11, 2020 at approximately 9:11 EST (14:11Z). ", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411196, "type": "details_page", "extra_data": null, "instance": { "id": 4808, "url": "https://svs.gsfc.nasa.gov/4808/", "page_type": "Visualization", "title": "NASA/JAXA GPM Satellite Eyes Eta Over Florida", "description": "Tropical Storm Eta making landfall over the Florida Keys on Sunday, November 8, 2020 at approximately 23:11Z (11/9/2020 4:11 EST). || eta1109_001.4300_print.jpg (1024x576) [149.3 KB] || eta1109_001.4300_searchweb.png (320x180) [116.5 KB] || eta1109_001.4300_thm.png (80x40) [8.6 KB] || eta1109_001.mp4 (1920x1080) [47.6 MB] || tif (1920x1080) [0 Item(s)] || exr (1920x1080) [0 Item(s)] || eta1109_001.webm (1920x1080) [5.7 MB] || eta1109_001.mp4.hwshow [177 bytes] || ", "release_date": "2020-11-09T00:00:00-05:00", "update_date": "2025-01-06T00:17:04.172188-05:00", "main_image": { "id": 440301, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004800/a004808/eta1109_001.4300_print.jpg", "filename": "eta1109_001.4300_print.jpg", "media_type": "Image", "alt_text": "Tropical Storm Eta making landfall over the Florida Keys on Sunday, November 8, 2020 at approximately 23:11Z (11/9/2020 4:11 EST).", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411197, "type": "details_page", "extra_data": null, "instance": { "id": 4876, "url": "https://svs.gsfc.nasa.gov/4876/", "page_type": "Visualization", "title": "NASA/JAXA GPM Satellite Eyes Eta Over Nicaragua", "description": "Hurricane Eta (a Category 1) over Nicaragua on 11/4/2020 at approximately 5:25Z. This visualization focuses on the high precipitation southwest of Eta's eye. || eta2_001.4300_print.jpg (1024x576) [180.3 KB] || eta2_001.4300_searchweb.png (320x180) [114.3 KB] || eta2_001.4300_thm.png (80x40) [8.6 KB] || eta2_001.mp4 (1920x1080) [38.7 MB] || eye_tifs (1920x1080) [0 Item(s)] || eye_exrs (1920x1080) [0 Item(s)] || eta2_001.webm (1920x1080) [5.0 MB] || eta2_001.mp4.hwshow [174 bytes] || ", "release_date": "2020-11-04T16:00:00-05:00", "update_date": "2025-01-06T00:18:43.257527-05:00", "main_image": { "id": 440285, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004800/a004876/eta2_001.4300_print.jpg", "filename": "eta2_001.4300_print.jpg", "media_type": "Image", "alt_text": "Hurricane Eta (a Category 1) over Nicaragua on 11/4/2020 at approximately 5:25Z. This visualization focuses on the high precipitation southwest of Eta's eye.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411198, "type": "details_page", "extra_data": null, "instance": { "id": 4870, "url": "https://svs.gsfc.nasa.gov/4870/", "page_type": "Visualization", "title": "NASA/JAXA GPM Satellite Eyes Hurricane Zeta on its way to New Orleans", "description": "Hurricane Zeta on Wednesday October 28th, 2020 at approximately 3:25 am Central Time (8:25 UTC).This video is also available on our YouTube channel. || zeta1028.4300_print.jpg (1024x576) [174.9 KB] || zeta1028.4300_searchweb.png (320x180) [113.9 KB] || zeta1028.4300_thm.png (80x40) [8.4 KB] || zeta1028.mp4 (1920x1080) [83.4 MB] || tif (1920x1080) [0 Item(s)] || exr (1920x1080) [0 Item(s)] || zeta1028.webm (1920x1080) [5.9 MB] || captions_silent.30486.en_US.srt [43 bytes] || zeta1028.mp4.hwshow [174 bytes] || ", "release_date": "2020-10-28T00:00:00-04:00", "update_date": "2025-01-06T00:18:39.372789-05:00", "main_image": { "id": 440274, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004800/a004870/zeta1028.4300_print.jpg", "filename": "zeta1028.4300_print.jpg", "media_type": "Image", "alt_text": "Hurricane Zeta on Wednesday October 28th, 2020 at approximately 3:25 am Central Time (8:25 UTC).This video is also available on our YouTube channel.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411199, "type": "details_page", "extra_data": null, "instance": { "id": 4869, "url": "https://svs.gsfc.nasa.gov/4869/", "page_type": "Visualization", "title": "NASA/JAXA GPM Satellite Captures Tropical Storm Zeta off the Yucatan Peninsula", "description": "Tropical Storm Zeta on October 25th, 2020 at approximately 2:15 Central Time (19:15 UT).This video is also available on our YouTube channel. || zeta1025.2220_print.jpg (1024x576) [167.5 KB] || zeta1025.2220_searchweb.png (320x180) [131.6 KB] || zeta1025.2220_thm.png (80x40) [8.6 KB] || tif (1920x1080) [0 Item(s)] || exr (1920x1080) [0 Item(s)] || zeta1025_1080p30.mp4 (1920x1080) [73.5 MB] || zeta1025_1080p30.webm (1920x1080) [5.8 MB] || captions_silent.30478.en_US.srt [43 bytes] || zeta1025_1080p30.mp4.hwshow [182 bytes] || ", "release_date": "2020-10-27T16:00:00-04:00", "update_date": "2025-01-06T00:18:39.272841-05:00", "main_image": { "id": 440263, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004800/a004869/zeta1025.2220_print.jpg", "filename": "zeta1025.2220_print.jpg", "media_type": "Image", "alt_text": "Tropical Storm Zeta on October 25th, 2020 at approximately 2:15 Central Time (19:15 UT).This video is also available on our YouTube channel.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411200, "type": "details_page", "extra_data": null, "instance": { "id": 4866, "url": "https://svs.gsfc.nasa.gov/4866/", "page_type": "Visualization", "title": "NASA/JAXA GPM Satellite Captures Hurricane Delta on Approach to the Gulf Coast", "description": "GPM captured Hurricane Delta the evening of October 8 at approximately 7:40pm CST. This visualization shows the heavy rain structures within the heart of the Hurricane as it moved towards the Gulf coast. || delta1009.4300_print.jpg (1024x576) [203.4 KB] || delta1009.4300_searchweb.png (320x180) [92.8 KB] || delta1009.4300_thm.png (80x40) [7.6 KB] || delta1009_1080p30.mp4 (1920x1080) [27.9 MB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || delta1009_1080p30.webm (1920x1080) [5.4 MB] || delta1009_1080p30.mp4.hwshow [183 bytes] || ", "release_date": "2020-10-09T00:00:00-04:00", "update_date": "2025-01-06T00:18:38.871595-05:00", "main_image": { "id": 440251, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004800/a004866/delta1009.4300_print.jpg", "filename": "delta1009.4300_print.jpg", "media_type": "Image", "alt_text": "GPM captured Hurricane Delta the evening of October 8 at approximately 7:40pm CST. This visualization shows the heavy rain structures within the heart of the Hurricane as it moved towards the Gulf coast.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411201, "type": "details_page", "extra_data": null, "instance": { "id": 4855, "url": "https://svs.gsfc.nasa.gov/4855/", "page_type": "Visualization", "title": "NASA's GPM captures powerful Hurricane Laura over Louisiana", "description": "This visualization shows Hurricane Laura over the Gulf Coast states approximately 7 hours after making landfall on the morning of August 27, 2020. || cam_laura1240ZShape.2340_print.jpg (1024x576) [195.0 KB] || cam_laura1240ZShape.2340_searchweb.png (320x180) [99.6 KB] || cam_laura1240ZShape.2340_thm.png (80x40) [7.4 KB] || laura1240Z_1080p30.mp4 (1920x1080) [41.9 MB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || laura1240Z_1080p30.webm (1920x1080) [4.1 MB] || laura1240Z_1080p30.mp4.hwshow [184 bytes] || ", "release_date": "2020-08-27T15:00:00-04:00", "update_date": "2025-01-06T00:18:27.289347-05:00", "main_image": { "id": 440243, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004800/a004855/cam_laura1240ZShape.2340_print.jpg", "filename": "cam_laura1240ZShape.2340_print.jpg", "media_type": "Image", "alt_text": "This visualization shows Hurricane Laura over the Gulf Coast states approximately 7 hours after making landfall on the morning of August 27, 2020.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411202, "type": "details_page", "extra_data": null, "instance": { "id": 4847, "url": "https://svs.gsfc.nasa.gov/4847/", "page_type": "Visualization", "title": "NASA captures Isaias over the U.S. East Coast", "description": "This data visualization shows Tropical Storm Isaias stretching across the United States East Coast on the morning of August 4th, 2020. This storm system caused major flooding and damage up and down the entire eastern seaboard.This video is also available on our YouTube channel. || isaias0804.2450_print.jpg (1024x576) [279.5 KB] || isaias0804.2450_searchweb.png (320x180) [110.3 KB] || isaias0804.2450_thm.png (80x40) [7.9 KB] || isaias0804_1080p30.mp4 (1920x1080) [78.6 MB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || isaias0804_1080p30.webm (1920x1080) [5.9 MB] || captions_silent.30042.en_US.srt [43 bytes] || isaias0804_1080p30.mp4.hwshow [184 bytes] || ", "release_date": "2020-08-04T12:00:00-04:00", "update_date": "2025-01-06T00:18:23.064729-05:00", "main_image": { "id": 440232, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004800/a004847/isaias0804.2450_print.jpg", "filename": "isaias0804.2450_print.jpg", "media_type": "Image", "alt_text": "This data visualization shows Tropical Storm Isaias stretching across the United States East Coast on the morning of August 4th, 2020. This storm system caused major flooding and damage up and down the entire eastern seaboard.This video is also available on our YouTube channel.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411203, "type": "details_page", "extra_data": null, "instance": { "id": 4846, "url": "https://svs.gsfc.nasa.gov/4846/", "page_type": "Visualization", "title": "NASA captures Isaias bringing heavy rains to the Northern Bahamas", "description": "GPM captured Tropical Storm Isaias off the coast of Florida as it pounded the Northern Bahama Islands on August 2nd, 2020.This video is also available on our YouTube channel. || isaias0802.3899_print.jpg (1024x576) [217.5 KB] || isaias0802.3899_searchweb.png (320x180) [108.0 KB] || isaias0802.3899_thm.png (80x40) [8.2 KB] || isaias0802_1080p30.mp4 (1920x1080) [63.1 MB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || isaias0802_1080p30.webm (1920x1080) [5.8 MB] || captions_silent.30039.en_US.srt [43 bytes] || isaias0802_1080p30.mp4.hwshow [184 bytes] || ", "release_date": "2020-08-04T00:00:00-04:00", "update_date": "2025-01-06T00:18:22.892759-05:00", "main_image": { "id": 440222, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004800/a004846/isaias0802.3899_print.jpg", "filename": "isaias0802.3899_print.jpg", "media_type": "Image", "alt_text": "GPM captured Tropical Storm Isaias off the coast of Florida as it pounded the Northern Bahama Islands on August 2nd, 2020.This video is also available on our YouTube channel.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411204, "type": "details_page", "extra_data": null, "instance": { "id": 4844, "url": "https://svs.gsfc.nasa.gov/4844/", "page_type": "Visualization", "title": "NASA follows Hanna to the South Texas Coast", "description": "This data visualization shows Hurricane Hanna on July 25, 2020 as it makes landfall on the southern Texas coast. || cam_hannaShape.2400_print.jpg (1024x576) [237.9 KB] || cam_hannaShape.2400_searchweb.png (320x180) [122.2 KB] || cam_hannaShape.2400_thm.png (80x40) [8.8 KB] || hanna_1080p30.mp4 (1920x1080) [73.1 MB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || hanna_1080p30.webm (1920x1080) [11.1 MB] || hanna_1080p30.mp4.hwshow [179 bytes] || ", "release_date": "2020-07-29T13:00:00-04:00", "update_date": "2025-01-06T00:18:22.572309-05:00", "main_image": { "id": 440212, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004800/a004844/cam_hannaShape.2400_print.jpg", "filename": "cam_hannaShape.2400_print.jpg", "media_type": "Image", "alt_text": "This data visualization shows Hurricane Hanna on July 25, 2020 as it makes landfall on the southern Texas coast.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411205, "type": "details_page", "extra_data": null, "instance": { "id": 4843, "url": "https://svs.gsfc.nasa.gov/4843/", "page_type": "Visualization", "title": "GPM watches Hurricane Douglas threaten Hawaii", "description": "This data visualization starts by looking at Hurricane Douglas via IMERG precipitation measurements over cloud cover as Douglas approaches the Hawaiian islands on July 25, 2020. GPM then flies over to collect more detailed measurements of the Hurricane's surface precipitation and internal structure via it's GMI and DPR instruments respectively. || cam_douglasShape.2400_print.jpg (1024x576) [140.2 KB] || cam_douglasShape.2400_searchweb.png (320x180) [89.4 KB] || cam_douglasShape.2400_thm.png (80x40) [7.3 KB] || douglas_1080p30.mp4 (1920x1080) [76.4 MB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || douglas_1080p30.webm (1920x1080) [11.4 MB] || douglas_1080p30.mp4.hwshow [181 bytes] || ", "release_date": "2020-07-29T12:00:00-04:00", "update_date": "2025-01-06T00:18:22.433349-05:00", "main_image": { "id": 440202, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004800/a004843/cam_douglasShape.2400_print.jpg", "filename": "cam_douglasShape.2400_print.jpg", "media_type": "Image", "alt_text": "This data visualization starts by looking at Hurricane Douglas via IMERG precipitation measurements over cloud cover as Douglas approaches the Hawaiian islands on July 25, 2020. GPM then flies over to collect more detailed measurements of the Hurricane's surface precipitation and internal structure via it's GMI and DPR instruments respectively. ", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411206, "type": "details_page", "extra_data": null, "instance": { "id": 4842, "url": "https://svs.gsfc.nasa.gov/4842/", "page_type": "Visualization", "title": "GPM observes Tropical Storm Cristobal drenching Louisiana and Mississippi", "description": "This data visualization shows Tropical Storm Cristobal on June 8th, 2020 after it had already made landfall and began moving northward up Louisiana and Alabama into Arkansas. GPM's GMI and DPR then sweep in to reveal the detailed surface precipitation and storm structure. || cam_cristobal_finalShape.4300_print.jpg (1024x576) [221.9 KB] || cam_cristobal_finalShape.4300_searchweb.png (320x180) [107.7 KB] || cam_cristobal_finalShape.4300_thm.png (80x40) [8.1 KB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || cam_cristobal_finalShape.webm (1920x1080) [10.5 MB] || cam_cristobal_finalShape.mp4 (1920x1080) [106.6 MB] || cam_cristobal_finalShape.mp4.hwshow [190 bytes] || ", "release_date": "2020-07-28T00:00:00-04:00", "update_date": "2025-01-06T00:18:22.288136-05:00", "main_image": { "id": 440192, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004800/a004842/cam_cristobal_finalShape.4300_print.jpg", "filename": "cam_cristobal_finalShape.4300_print.jpg", "media_type": "Image", "alt_text": "This data visualization shows Tropical Storm Cristobal on June 8th, 2020 after it had already made landfall and began moving northward up Louisiana and Alabama into Arkansas. GPM's GMI and DPR then sweep in to reveal the detailed surface precipitation and storm structure.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411207, "type": "details_page", "extra_data": null, "instance": { "id": 31139, "url": "https://svs.gsfc.nasa.gov/31139/", "page_type": "Hyperwall Visual", "title": "Earth: A System of Systems (updated)", "description": "All six time-synchronous datasets, individually and then layered two at a time || layered_pairs_1080p.00001_print.jpg (1024x576) [59.0 KB] || layered_pairs_1080p.00001_searchweb.png (320x180) [42.0 KB] || layered_pairs_1080p.00001_thm.png (80x40) [3.8 KB] || layered_pairs_720p.mp4 (1280x720) [83.6 MB] || layered_pairs_1080p.webm (1920x1080) [28.6 MB] || layered_pairs_1080p.mp4 (1920x1080) [157.7 MB] || layered_pairs_2160p.mp4 (3840x2160) [432.6 MB] || A_System_of_Systems_Updated_-_30701.pptx [436.3 MB] || ", "release_date": "2020-05-08T00:00:00-04:00", "update_date": "2025-03-02T00:37:14.835854-05:00", "main_image": { "id": 385217, "url": "https://svs.gsfc.nasa.gov/vis/a030000/a031100/a031139/layered_pairs_1080p.00001_print.jpg", "filename": "layered_pairs_1080p.00001_print.jpg", "media_type": "Image", "alt_text": "All six time-synchronous datasets, individually and then layered two at a time", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411208, "type": "details_page", "extra_data": null, "instance": { "id": 4812, "url": "https://svs.gsfc.nasa.gov/4812/", "page_type": "Visualization", "title": "GPM observes Cyclone Harold in the South Pacific", "description": "View of 3D precipitation from DPR and surface rain rates (mm/hr) from GMI of Cyclone Harold in the South Pacific on April 6 2020. The camera pushes in as a cutting plan reveals the inner precipitation rates of the storm. This video is also available on our YouTube channel. || harold_05.2400_print.jpg (1024x576) [159.2 KB] || harold_05.2400_searchweb.png (320x180) [121.3 KB] || harold_05.2400_thm.png (80x40) [8.9 KB] || harold (1920x1080) [0 Item(s)] || harold_05_1080p30.mp4 (1920x1080) [59.7 MB] || harold_05_1080p30.webm (1920x1080) [5.9 MB] || captions_silent.29226.en_US.srt [43 bytes] || harold_05_1080p30.mp4.hwshow [183 bytes] || ", "release_date": "2020-04-09T00:00:00-04:00", "update_date": "2025-01-06T00:17:59.461423-05:00", "main_image": { "id": 440181, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004800/a004812/harold_05.2400_print.jpg", "filename": "harold_05.2400_print.jpg", "media_type": "Image", "alt_text": "View of 3D precipitation from DPR and surface rain rates (mm/hr) from GMI of Cyclone Harold in the South Pacific on April 6 2020. The camera pushes in as a cutting plan reveals the inner precipitation rates of the storm. This video is also available on our YouTube channel.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411209, "type": "details_page", "extra_data": null, "instance": { "id": 4751, "url": "https://svs.gsfc.nasa.gov/4751/", "page_type": "Visualization", "title": "GPM observes Hurricane Dorian over the Bahamas", "description": "Hurricane Dorian on September 1, 2019 (21:22 UTC) over Abaco Island in The BahamasThis video is also available on our YouTube channel. || dorian_08.2400_print.jpg (1024x576) [144.6 KB] || dorian_08.2400_searchweb.png (320x180) [121.2 KB] || dorian_08.2400_thm.png (80x40) [8.7 KB] || dorian (1920x1080) [0 Item(s)] || dorian_1080p30.mp4 (1920x1080) [72.2 MB] || dorian_1080p30.webm (1920x1080) [5.2 MB] || captions_silent.27911.en_US.srt [43 bytes] || dorian_1080p30.mp4.hwshow [180 bytes] || ", "release_date": "2019-09-03T00:00:00-04:00", "update_date": "2025-01-06T00:15:00.248644-05:00", "main_image": { "id": 440155, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004700/a004751/dorian_08.2400_print.jpg", "filename": "dorian_08.2400_print.jpg", "media_type": "Image", "alt_text": "Hurricane Dorian on September 1, 2019 (21:22 UTC) over Abaco Island in The BahamasThis video is also available on our YouTube channel.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411210, "type": "details_page", "extra_data": null, "instance": { "id": 4571, "url": "https://svs.gsfc.nasa.gov/4571/", "page_type": "Visualization", "title": "Global Surface- and Upper-Level Winds", "description": "This entry compiles a series of animations created for the use of WGBH in an educational webside. The animations visualize data from the MERRA reanalysis product, showing winds at both the 850 mb and 250 mb levels. The upper level is rainbow-colored, the lower level is white. Both color and opacity of each level are being driven by windspeed. || ", "release_date": "2017-08-29T00:00:00-04:00", "update_date": "2025-01-05T23:20:57.948814-05:00", "main_image": { "id": 411703, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004500/a004571/test2.0001_print.jpg", "filename": "test2.0001_print.jpg", "media_type": "Image", "alt_text": "850 mb and 250 mb levels", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411211, "type": "details_page", "extra_data": null, "instance": { "id": 4753, "url": "https://svs.gsfc.nasa.gov/4753/", "page_type": "Visualization", "title": "GPM observes Hurricane Dorian lashing Florida", "description": "Snapshot view of 3D precipitation from DPR and surface rain rates (mm/hr) from GMI at 10:41 UTC (6:41 am EDT) 4 September 2019 when the center of Dorian was near the coast of central Florida about 90 miles due east of Daytona Beach.This video is also available on our YouTube channel. || dorian2__cam_dorianShape2_beauty.4300_print.jpg (1024x576) [187.7 KB] || dorian2__cam_dorianShape2_beauty.4300_searchweb.png (320x180) [116.1 KB] || dorian2__cam_dorianShape2_beauty.4300_thm.png (80x40) [8.3 KB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || dorian2__cam_dorianShape2_beauty.webm (1920x1080) [6.8 MB] || dorian2__cam_dorianShape2_beauty.mp4 (1920x1080) [123.3 MB] || captions_silent.27948.en_US.srt [43 bytes] || dorian2__cam_dorianShape2_beauty.mp4.hwshow [276 bytes] || ", "release_date": "2019-09-06T09:00:00-04:00", "update_date": "2025-01-05T00:10:24.527525-05:00", "main_image": { "id": 440172, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004700/a004753/dorian2__cam_dorianShape2_beauty.4300_print.jpg", "filename": "dorian2__cam_dorianShape2_beauty.4300_print.jpg", "media_type": "Image", "alt_text": "Snapshot view of 3D precipitation from DPR and surface rain rates (mm/hr) from GMI at 10:41 UTC (6:41 am EDT) 4 September 2019 when the center of Dorian was near the coast of central Florida about 90 miles due east of Daytona Beach.This video is also available on our YouTube channel.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411212, "type": "details_page", "extra_data": null, "instance": { "id": 4694, "url": "https://svs.gsfc.nasa.gov/4694/", "page_type": "Visualization", "title": "GPM Satellite observes powerful super Typhoon Yutu hitting Northern Marianas", "description": "GPM passed over Super Typhoon Yutu on October 24th at 11:07 a.m. EDT . As the camera moves in on the storm, DPR's volumetric view of the storm is revealed. A slicing plane moves across the volume to display precipitation rates throughout the storm. Shades of green to red represent liquid precipitation. Frozen precipitation is shown in cyan and purple.This video is also available on our YouTube channel. || Yutu.2320_print.jpg (1024x576) [145.9 KB] || Yutu.2320_searchweb.png (320x180) [100.2 KB] || Yutu.2320_thm.png (80x40) [7.8 KB] || yutu (1920x1080) [0 Item(s)] || Yutu_1080p30.webm (1920x1080) [7.7 MB] || Yutu_1080p30.mp4 (1920x1080) [102.3 MB] || captions_silent.27091.en_US.srt [43 bytes] || captions_silent.27091.en_US.vtt [56 bytes] || Yutu_1080p30.mp4.hwshow || ", "release_date": "2018-10-26T00:00:00-04:00", "update_date": "2025-01-06T00:13:35.262976-05:00", "main_image": { "id": 400503, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004600/a004694/Yutu.2320_print.jpg", "filename": "Yutu.2320_print.jpg", "media_type": "Image", "alt_text": "GPM passed over Super Typhoon Yutu on October 24th at 11:07 a.m. EDT . As the camera moves in on the storm, DPR's volumetric view of the storm is revealed. A slicing plane moves across the volume to display precipitation rates throughout the storm. Shades of green to red represent liquid precipitation. Frozen precipitation is shown in cyan and purple.This video is also available on our YouTube channel.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411213, "type": "details_page", "extra_data": null, "instance": { "id": 4682, "url": "https://svs.gsfc.nasa.gov/4682/", "page_type": "Visualization", "title": "GPM Captures Super Typhoon Mangkhut Approaching The Philippines", "description": "At nearly the same time that the US East Coast was experiencing the arrival of Hurricane Florence, a much more powerful storm was also arriving half a world away in the Philippines—Super Typhoon Mangkhut. While the slow-moving Florence arrived as a Category 1 hurricane that brought record flooding to the Carolinas, less than 7 hours later Mangkhut (known as Ompong in the Philippines) made landfall on the northern main island of Luzon as a full on Category 5 super typhoon with sustained winds reported at 165 mph. The visualization starts with a view of Integrated Multi-satellitE Retrievals for GPM (IMERG) precipitation rates from 15:11 UTC (11:11 pm PST) 12 September to 15:41 UTC (11:41 pm PST) 13 September 2018 as the storm was making its way across the Philippine Sea headed for Luzon. Before entering the Philippine Sea, Mangkhut passed just north of Guam on the evening of the 10th as a Category 2 typhoon with sustained winds reported at 105 mph by the Joint Typhoon Warning Center (JTWC) causing widespread power outages. The next day on the 11th as it entered the eastern Philippine Sea, Mangkhut underwent a rapid intensification cycle wherein the storm’s intensity shot from Category 2 on the afternoon of the 10th (local time) to Category 5 with sustained winds estimated at 160 mph by JTWC by the evening of the 11th (local time). Mangkhut is estimated to have reached its peak intensity at 18:00 UTC on the 12th (2:00 am PST 13 September) with maximum sustained winds estimated at 180 mph by JTWC, making it the strongest tropical cyclone of the year thus far.At the start of the visualization, Mangkhut was an extremely powerful Category 5 super typhoon and just approaching its peak intensity. Over the next 24 hours, Mangkhut’s intensity leveled out such that when the GPM core satellite over flew the storm, Mangkhut’s peak intensity was estimated at 165 mph, a still very powerful Category 5 storm. The end of the visualization shows the surface rainfall within Mangkhut as well as a 3D flyby of the storm courtesy of the GPM core satellite, which passed over the storm at around 15:40 UTC (11:40 pm PST) on the 13th. At the surface, a distinct eye is present surrounded by a large area of very heavy to intense rain (shown in dark red and magenta). Further out, heavy rain bands are rotating counter clockwise around the storm’s center. The flyby shows a 3D rendering of the radar structure of Mangkhut using data collected from GPM’s Dual-frequency Precipitation Radar or DPR. At the heart of the storm surrounding the eye is a ring of elevated echo tops associated with Mangkhut’s eyewall. The strong symmetry and continuity of the ring is consistent with an intense tropical cyclone and suggests no inhibiting effects such as dry air or wind shear are affecting the storm. In fact, after these images were taken, Mangkhut would continue on to strike the northern part of Luzon at the same estimated intensity, becoming the strongest typhoon to hit the Philippines since Super Typhoon Haiyan in 2013. So far the storm is being blamed for at least 95 fatalities in the Philippines, many due to a large landslide around the town of Itogon. After crossing Luzon, Mangkhut continued on to strike Hong Kong with winds reported at 121 mph before dissipating over mainland China, where it is being blamed for 6 fatalities. GPM data is part of the toolbox of satellite data used by forecasters and scientists to understand how storms behave. GPM is a joint mission between NASA and the Japan Aerospace Exploration Agency. Current and future data sets are available with free registration to users from NASA Goddard's Precipitation Processing Center website. || ", "release_date": "2018-09-19T00:00:00-04:00", "update_date": "2024-10-09T00:08:23.238788-04:00", "main_image": { "id": 400418, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004600/a004682/Mangkhut_07.2770_print.jpg", "filename": "Mangkhut_07.2770_print.jpg", "media_type": "Image", "alt_text": "GPM passed over Typhoon Mangkhut on September 13, 2018 at 15:21 UTC. As the camera moves in on the storm, DPR's volumetric view of the storm is revealed. A slicing plane moves across the volume to display precipitation rates throughout the storm. Shades of green to red represent liquid precipitation. Frozen precipitation is shown in cyan and purple.This video is also available on our YouTube channel.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411214, "type": "details_page", "extra_data": null, "instance": { "id": 4681, "url": "https://svs.gsfc.nasa.gov/4681/", "page_type": "Visualization", "title": "GOES and GPM Capture Florence Trying to Intensify Over the Atlantic", "description": "Hurricane Florence originally formed from an African Easterly wave that emerged off the west coast of Africa back on the 30th of August. When it reached the vicinity of the Cape Verde Islands the next day, it was organized enough to become a tropical depression. The following day the depression strengthened enough to become a tropical storm and Florence was born on the 1st of September. Over the next 3 days, Florence gradually strengthened as it moved in a general west-northwest direction into the central Atlantic. Then, on the 4th of September, Florence began to rapidly intensify. By the morning of the 5th, Florence was a Category 3 hurricane before reaching Category 4 intensity later that afternoon with maximum sustained winds estimated at 130 mph by the National Hurricane Center (NHC). At this point, Florence became the victim of increasingly strong southwesterly wind shear, which greatly weakened the storm all the way back down to a tropical storm the by evening of the 6th.The following GOES-East Infrared (IR) loop shows Florence from 17:54 UTC (1:54 pm EDT) 6 September to 19:27 UTC (3:27 pm EDT) 7 September when it was struggling against the strong southwesterly wind shear in the Central Atlantic. A very interesting looking feature is the arc-shaped cloud that propagates outward from the storm towards the west. This cloud feature is occurring at upper-levels and is likely tied to a gravity wave propagating outward from an area of intense convection that erupted from deep within the storm. When the tops of these smaller scale storms within a storm reach the upper troposphere, they can trigger gravity waves. As these waves progagate outward they can enhance cloud formation where they induce rising motion and erode cloud where they induce downward motion or subsidence. As this arc-shaped cloud is able to propagate outward uniformly from the center, it must be occurring above the shear layer. Compensating areas of subsidence can also surround the strong rising motion occurring within the tall convective clouds. This can help to erode surrounding clouds and may be contributing to the clearing that occurs between the arc-shaped cloud and the mainarea of convection.The end of the loop shows surface rainfall and a 3D flyby of Florence courtesy of the GPM core satellite, which passed over the storm at around 19:21 UTC (3:21 pm EDT) on the 7th. At the surface, two areas of intense rain (shown in magenta) reveal the presence of two areas of strong thunderstorms within Florence north and northeast of the center. The flyby shows a 3D rendering of the radar structure of the storm. The darker blue tower indicates an area of deep convection that has penetrated well over 10 km high and is associated with the southernmost area of intense rain just north of the center. It is these areas of deep convection that fuel the storm by releasing heat, known as latent heat, mainly from condensation, near the core. Although it would be nearly 2 days before Florence re-gained hurricane intensity, these convective towers are what helped Florence to survive the effects of the wind shear and eventually grow back into a Category 4 hurricane.GPM is a joint mission between NASA and the Japanese space agency JAXA.Caption by Stephen Lang (SSAI/NASA GSFC) and Joe Munchak (GSFC). || ", "release_date": "2018-09-12T10:00:00-04:00", "update_date": "2025-01-06T00:13:28.489550-05:00", "main_image": { "id": 400464, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004600/a004681/florence_0907_final.3900_print.jpg", "filename": "florence_0907_final.3900_print.jpg", "media_type": "Image", "alt_text": "GPM's DPR and GMI instruments observe Tropical Storm Florence undergoing wind shearGPM passed over Tropical Storm Florence on September 7, 2018. As the camera moves in on the storm, DPR's volumetric view of the storm is revealed. A slicing plane moves across the volume to display precipitation rates throughout the storm. Shades of green to red represent liquid precipitation. Frozen precipitation is shown in cyan and purple.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411215, "type": "details_page", "extra_data": null, "instance": { "id": 4658, "url": "https://svs.gsfc.nasa.gov/4658/", "page_type": "Visualization", "title": "NASA's Black Marble night lights used to examine disaster recovery in Puerto Rico", "description": "At night, Earth is lit up in bright strings of roads dotted with pearl-like cities and towns as human-made artificial light takes center stage. During Hurricane Maria, Puerto Rico's lights went out.In the days, weeks, and months that followed, research physical scientist Miguel Román at NASA's Goddard Space Flight Center in Greenbelt, Maryland, and his colleagues combined NASA's Black Marble night lights data product from the NASA/NOAA Suomi National Polar-orbiting Partnership satellite with USGS-NASA Landsat data and Google's OpenStreetMap to develop a neighborhood-scale map of energy use in communities across Puerto Rico as the electricity grid was slowly restored. They then analyzed the relationship between restoration rates in terms of days without electricity and the remoteness of communities from major cities. || ", "release_date": "2018-12-09T00:00:00-05:00", "update_date": "2019-09-17T15:04:45-04:00", "main_image": { "id": 398084, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004600/a004658/bmhd_11_0940_print.jpg", "filename": "bmhd_11_0940_print.jpg", "media_type": "Image", "alt_text": "This visualization starts with a global view of hurricane Maria hitting Puerto Rico. We then zoom in to Puerto Rico to compare the standard night lights dataset to a new, high definition version of nights lights. After the hurricane passes over the island, we see a massive drop in night light intensity due to loss of power. After showing night light levels over several stages of hurricane recovery, we transition to a 'Days Without Power' dataset. The camera then zooms in to several locations around the island to examine each stage of recovery in more detail. ", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411216, "type": "details_page", "extra_data": null, "instance": { "id": 30895, "url": "https://svs.gsfc.nasa.gov/30895/", "page_type": "Hyperwall Visual", "title": "Surface Flooding from Hurricane Harvey", "description": "Flooding around Houston, Tx after Hurricane Harvey || SMAP_Harvey_PIA21930_print.jpg (1024x574) [84.0 KB] || SMAP_Harvey_PIA21930.png (4104x2304) [1.9 MB] || SMAP_Harvey_PIA21930_searchweb.png (320x180) [59.1 KB] || SMAP_Harvey_PIA21930_thm.png (80x40) [6.0 KB] || SMAP_Harvey_PIA21930.hwshow [208 bytes] || ", "release_date": "2017-09-08T00:00:00-04:00", "update_date": "2024-10-11T00:26:25.639340-04:00", "main_image": { "id": 411553, "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030800/a030895/SMAP_Harvey_PIA21930_print.jpg", "filename": "SMAP_Harvey_PIA21930_print.jpg", "media_type": "Image", "alt_text": "Flooding around Houston, Tx after Hurricane Harvey", "width": 1024, "height": 574, "pixels": 587776 } } }, { "id": 411217, "type": "details_page", "extra_data": null, "instance": { "id": 30899, "url": "https://svs.gsfc.nasa.gov/30899/", "page_type": "Hyperwall Visual", "title": "Hurricane Irma Turns Caribbean Islands Brown", "description": "The U.S. Virgin Islands before and after Hurricane Irma || virgin_islands_print.jpg (1024x653) [141.3 KB] || virgin_islands.png (3608x2304) [23.8 MB] || virgin_islands_searchweb.png (320x180) [85.6 KB] || virgin_islands_thm.png (80x40) [5.8 KB] || hurricane-irma-turns-caribbean-islands-brown-virgin-islands.hwshow [241 bytes] || ", "release_date": "2017-09-20T00:00:00-04:00", "update_date": "2024-10-11T00:26:27.084263-04:00", "main_image": { "id": 411234, "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030800/a030899/virgin_islands_print.jpg", "filename": "virgin_islands_print.jpg", "media_type": "Image", "alt_text": "The U.S. Virgin Islands before and after Hurricane Irma", "width": 1024, "height": 653, "pixels": 668672 } } }, { "id": 411218, "type": "details_page", "extra_data": null, "instance": { "id": 12733, "url": "https://svs.gsfc.nasa.gov/12733/", "page_type": "Produced Video", "title": "Hurricane Train: Katia, Irma, and Jose", "description": "In September 2017, a train of hurricanes barreled into North America and the Caribbean. || hurricanes_vir_2017251_lrg_16x9_1024x576.jpg (1024x576) [307.0 KB] || hurricanes_vir_2017251_lrg_16x9.jpg (4095x2303) [3.0 MB] || hurricanes_vir_2017251_lrg_16x9_1024x576_searchweb.png (320x180) [120.9 KB] || hurricanes_vir_2017251_lrg_16x9_1024x576_thm.png (80x40) [7.9 KB] || ", "release_date": "2017-11-13T13:00:00-05:00", "update_date": "2023-05-03T13:47:13.360155-04:00", "main_image": { "id": 409399, "url": "https://svs.gsfc.nasa.gov/vis/a010000/a012700/a012733/hurricanes_vir_2017251_lrg_16x9_1024x576.jpg", "filename": "hurricanes_vir_2017251_lrg_16x9_1024x576.jpg", "media_type": "Image", "alt_text": "In September 2017, a train of hurricanes barreled into North America and the Caribbean.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411219, "type": "details_page", "extra_data": null, "instance": { "id": 4584, "url": "https://svs.gsfc.nasa.gov/4584/", "page_type": "Visualization", "title": "GPM Examines Hurricane Irma", "description": "GPM scans Hurricane Irma on September 5th and again on September 7th as the storm approaches Puerto Rico, the Dominican Republic, and Haiti as a category 5 hurricane. This video is also available on our YouTube channel. || Irma_4k_with_dates.2670_print.jpg (1024x576) [158.4 KB] || Irma_4k_with_dates.2670_searchweb.png (320x180) [96.8 KB] || Irma_4k_with_dates.2670_thm.png (80x40) [7.6 KB] || irma_with_dates (1920x1080) [128.0 KB] || Irma_with_dates_1080p30.mp4 (1920x1080) [86.9 MB] || Irma_with_dates_1080p30.webm (1920x1080) [6.3 MB] || irma_with_dates (3840x2160) [128.0 KB] || Irma_4k_with_dates_2160p30.mp4 (3840x2160) [233.2 MB] || ", "release_date": "2017-09-10T12:00:00-04:00", "update_date": "2024-10-06T22:42:49.386476-04:00", "main_image": { "id": 411364, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004500/a004584/Irma_4k_with_dates.2670_print.jpg", "filename": "Irma_4k_with_dates.2670_print.jpg", "media_type": "Image", "alt_text": "GPM scans Hurricane Irma on September 5th and again on September 7th as the storm approaches Puerto Rico, the Dominican Republic, and Haiti as a category 5 hurricane. This video is also available on our YouTube channel.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411220, "type": "details_page", "extra_data": null, "instance": { "id": 4358, "url": "https://svs.gsfc.nasa.gov/4358/", "page_type": "Visualization", "title": "Tracking Kilo from Hurricane to Typhoon", "description": "Global visualization of Hurricane Kilo as it formed in the Eastern Pacific and moved across the international dateline finally diminishing in the Western Pacific near Japan. As Kilo progresses, GPM captures swathes of surface precipitation data throughout the storm's life cycle. || kilo0909.1100_print.jpg (1024x576) [188.5 KB] || kilo0909.1100_searchweb.png (320x180) [105.1 KB] || kilo0909.1100_thm.png (80x40) [7.2 KB] || kilo0909_1080p30.mp4 (1920x1080) [57.6 MB] || global_view (1920x1080) [0 Item(s)] || kilo0909_1080p30.webm (1920x1080) [5.1 MB] || ", "release_date": "2015-09-17T00:00:00-04:00", "update_date": "2025-01-05T22:47:59.296439-05:00", "main_image": { "id": 442614, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004300/a004358/kilo0909.1100_print.jpg", "filename": "kilo0909.1100_print.jpg", "media_type": "Image", "alt_text": "Global visualization of Hurricane Kilo as it formed in the Eastern Pacific and moved across the international dateline finally diminishing in the Western Pacific near Japan. As Kilo progresses, GPM captures swathes of surface precipitation data throughout the storm's life cycle.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411221, "type": "details_page", "extra_data": null, "instance": { "id": 4512, "url": "https://svs.gsfc.nasa.gov/4512/", "page_type": "Visualization", "title": "GPM Monitors Hurricane Matthew Flooding the Carolinas", "description": "This data visualization resumes where the visualization \"GPM Captures Hurricane Matthew Nearing Florida\" leaves off. In this animation Hurricane Matthew travels up the east coast from Florida to the Carolinas. On October 8, 2016 Matthew (still a category 2 hurricane) dumps massive amounts of rain throughout the southeast dousing North and South Carolina. GPM then flies over the area revealing precipitation rates on the ground. As we zoom in closer, GPM's DPR sensor reveals a curtain of 3D rain rates within the massive weather system. || matthew_v4_annotated.4999_print.jpg (1024x576) [143.7 KB] || matthew_v4_annotated.4999_searchweb.png (320x180) [86.4 KB] || matthew_v4_annotated.4999_thm.png (80x40) [6.7 KB] || Matthew_with_annotations (1920x1080) [0 Item(s)] || matthew_v4_annotated_1080p30.mp4 (1920x1080) [20.0 MB] || matthew_v4_annotated_1080p30.webm (1920x1080) [4.0 MB] || matthew_v4_annotated_1080p30.mp4.hwshow [194 bytes] || ", "release_date": "2016-10-11T17:00:00-04:00", "update_date": "2025-02-02T00:08:53.208048-05:00", "main_image": { "id": 420234, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004500/a004512/matthew_v4_annotated.4999_print.jpg", "filename": "matthew_v4_annotated.4999_print.jpg", "media_type": "Image", "alt_text": "This data visualization resumes where the visualization \"GPM Captures Hurricane Matthew Nearing Florida\" leaves off. In this animation Hurricane Matthew travels up the east coast from Florida to the Carolinas. On October 8, 2016 Matthew (still a category 2 hurricane) dumps massive amounts of rain throughout the southeast dousing North and South Carolina. GPM then flies over the area revealing precipitation rates on the ground. As we zoom in closer, GPM's DPR sensor reveals a curtain of 3D rain rates within the massive weather system. ", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411222, "type": "details_page", "extra_data": null, "instance": { "id": 30911, "url": "https://svs.gsfc.nasa.gov/30911/", "page_type": "Hyperwall Visual", "title": "2017 North Atlantic Hurricane Season Simulation", "description": "GEOs model run showing 2017 Atlantic hurricane season || plot_ir4-goeseast_proj_F517R06K-GEOS_06KM-REPLAY-20170905_1745_print.jpg (1024x576) [98.0 KB] || plot_ir4-goeseast_proj_F517R06K-GEOS_06KM-REPLAY-20170905_1745.png (5760x3240) [5.5 MB] || plot_ir4-goeseast_proj_F517R06K-GEOS_06KM-REPLAY-20170905_1745_searchweb.png (320x180) [44.2 KB] || plot_ir4-goeseast_proj_F517R06K-GEOS_06KM-REPLAY-20170905_1745_thm.png (80x40) [3.8 KB] || plot_ir4-goeseast_proj_720p.webm (1280x720) [49.6 MB] || plot_ir4-goeseast_proj_720p.mp4 (1280x720) [156.3 MB] || ", "release_date": "2017-11-13T00:00:00-05:00", "update_date": "2024-12-15T00:25:50.147756-05:00", "main_image": { "id": 409614, "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030900/a030911/plot_ir4-goeseast_proj_F517R06K-GEOS_06KM-REPLAY-20170905_1745_print.jpg", "filename": "plot_ir4-goeseast_proj_F517R06K-GEOS_06KM-REPLAY-20170905_1745_print.jpg", "media_type": "Image", "alt_text": "GEOs model run showing 2017 Atlantic hurricane season", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411223, "type": "details_page", "extra_data": null, "instance": { "id": 4586, "url": "https://svs.gsfc.nasa.gov/4586/", "page_type": "Visualization", "title": "Hurricane Tracks from 2017 with Precipitation and Cloud Data", "description": "2017 Atlantic Hurricane season storm tracks with IMERG precipitation and GOES clouds (01 Aug 2017 to 31 Oct 2017) || hurricane_tracks2017_09cpc.2500_print.jpg (1024x576) [187.1 KB] || hurricane_tracks2017_09cpc.2500_searchweb.png (180x320) [111.1 KB] || hurricane_tracks2017_09cpc.2500_thm.png (80x40) [8.1 KB] || atlantic (1920x1080) [0 Item(s)] || hurricane_tracks2017_1920x1080.webm (1920x1080) [28.1 MB] || hurricane_tracks2017_1920x1080.mp4 (1920x1080) [504.9 MB] || 3840x2160_16x9_30p (3840x2160) [0 Item(s)] || hurricane_tracks2017_640x360p30.mp4 (640x360) [78.6 MB] || hurricane_tracks2017_4k.mp4 (3840x2160) [1.5 GB] || ", "release_date": "2017-10-05T00:00:00-04:00", "update_date": "2025-01-05T23:22:54.429604-05:00", "main_image": { "id": 410810, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004500/a004586/hurricane_tracks2017_09cpc.2500_print.jpg", "filename": "hurricane_tracks2017_09cpc.2500_print.jpg", "media_type": "Image", "alt_text": "2017 Atlantic Hurricane season storm tracks with IMERG precipitation and GOES clouds (01 Aug 2017 to 31 Oct 2017)", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411224, "type": "details_page", "extra_data": null, "instance": { "id": 4685, "url": "https://svs.gsfc.nasa.gov/4685/", "page_type": "Visualization", "title": "Inside Hurricane Maria in 360°", "description": "Tour Hurricane Maria in a whole new way! Late on September 17, 2017 (10:08 p.m. EDT) Category 1 Hurricane Maria was strengthening in the Atlantic Ocean when the Global Precipitation Measurement (GPM) mission's Core Observatory flew over it. The Dual Frequency Precipitation Radar, measuring in a narrow band over the storm center, shows 3-D estimates of rain, with snow at higher altitudes. The tall \"hot towers\" characteristic of deepening hurricanes are actually topped by snow! Surface rainfall rates estimated by the GPM Microwave Imager paint the surface over a wider swath. During the tour, you'll see the radar-observed rain intensities displayed three different ways in various parts of the storm. Then, for the first time you'll see estimates of the precipitation particle sizes, which the GPM DPR is uniquely capable of showing, and which provide important insights into storm processes.GPM is a joint mission between NASA and the Japanese space agency JAXA. || ", "release_date": "2018-10-04T09:55:00-04:00", "update_date": "2025-01-05T23:43:58.707625-05:00", "main_image": { "id": 400488, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004600/a004685/maria360.112_4k.7300_print.jpg", "filename": "maria360.112_4k.7300_print.jpg", "media_type": "Image", "alt_text": "Visualization of Hurricane Maria. These are full 360 degree frames. These fames appear warped because they include the entire 360 degree view.This video is also available on our YouTube channel.", "width": 1024, "height": 512, "pixels": 524288 } } }, { "id": 411225, "type": "details_page", "extra_data": null, "instance": { "id": 30833, "url": "https://svs.gsfc.nasa.gov/30833/", "page_type": "Hyperwall Visual", "title": "Hurricane Matthew Rainfall Totals", "description": "Total rainfall from Hurricane Matthew || matthew_imerg_28sep-10oct2016.jpg (1280x720) [1.1 MB] || matthew_imerg_28sep-10oct2016_print.jpg (1024x576) [830.6 KB] || matthew_imerg_28sep-10oct2016_searchweb.png (320x180) [143.6 KB] || matthew_imerg_28sep-10oct2016_thm.png (80x40) [9.0 KB] || matthew_imerg_28sep-10oct2016.webm (1280x720) [3.3 MB] || matthew_imerg_28sep-10oct2016.mov (1280x720) [3.9 MB] || matthew_imerg_28sep-10oct2016.key [6.2 MB] || matthew_imerg_28sep-10oct2016.pptx [5.8 MB] || matthew_imerg_28sep-10oct2016_still.hwshow [232 bytes] || matthew_imerg_28sep-10oct2016_movie.hwshow [233 bytes] || ", "release_date": "2016-11-14T00:00:00-05:00", "update_date": "2025-01-05T00:29:16.486113-05:00", "main_image": { "id": 418484, "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030800/a030833/matthew_imerg_28sep-10oct2016.jpg", "filename": "matthew_imerg_28sep-10oct2016.jpg", "media_type": "Image", "alt_text": "Total rainfall from Hurricane Matthew", "width": 1280, "height": 720, "pixels": 921600 } } }, { "id": 411226, "type": "details_page", "extra_data": null, "instance": { "id": 4575, "url": "https://svs.gsfc.nasa.gov/4575/", "page_type": "Visualization", "title": "NASA Studies Hurricane Matthew", "description": "This data visualization follows Hurricane Matthew throughout its destructive run in the Caribbean and Southeast U.S. coast. By utilizing different data sets from NOAA's GOES satellite, NASA/JAXA's GPM, MERRA-2 model runs, IMERG, Goddard's soil moisture product, and sea surface temperatures, scientists are able to put together a clearer picture of how this hurricane quickly intensified and eventually weakened. || matthew_narrated_v106.5800_print.jpg (1024x576) [189.6 KB] || matthew_narrated_v106.5800_searchweb.png (320x180) [114.8 KB] || matthew_narrated_v106.5800_thm.png (80x40) [7.8 KB] || matthew (1920x1080) [0 Item(s)] || matthew_narrated_v106.webm (1920x1080) [22.0 MB] || matthew_narrated_v106.mp4 (1920x1080) [140.5 MB] || 3840x2160_16x9_30p (3840x2160) [0 Item(s)] || matthew_narrated_v106_4k.mp4 (3840x2160) [443.1 MB] || matthew_narrated_nosound.hwshow || ", "release_date": "2017-07-31T00:00:00-04:00", "update_date": "2025-02-02T00:09:53.910126-05:00", "main_image": { "id": 413735, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004500/a004575/matthew_narrated_v106.5800_print.jpg", "filename": "matthew_narrated_v106.5800_print.jpg", "media_type": "Image", "alt_text": "This data visualization follows Hurricane Matthew throughout its destructive run in the Caribbean and Southeast U.S. coast. By utilizing different data sets from NOAA's GOES satellite, NASA/JAXA's GPM, MERRA-2 model runs, IMERG, Goddard's soil moisture product, and sea surface temperatures, scientists are able to put together a clearer picture of how this hurricane quickly intensified and eventually weakened.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411227, "type": "details_page", "extra_data": null, "instance": { "id": 4735, "url": "https://svs.gsfc.nasa.gov/4735/", "page_type": "Visualization", "title": "NASA Surveys Hurricane Damage to Puerto Rico's Forests (Data Viz Version)", "description": "Hurricane Maria transformed the lush rainforests of Puerto Rico leaving lots of openings in the forest canopy. NASA scientists studied the island's forests before and after the storm. Goddard's Lidar, Hyperspectral, and Thermal Imager (G-LiHT) is a portable instrument that maps forest health and structure from a small airplane resulting in detailed 3-D views of the forest. G-LiHT sends out 600,000 laser pulses every second mapping leaves and branches, rocks and streams. Almost 60% of the canopy trees lost branches, snapped in half, or were uprooted. Trees with wide, spreading crowns were reduced to a slender main trunk. Forests in Puerto Rico are now one-third shorter on average, after Hurricane Maria. The disturbances affected the whole ecosystem, from soils and streams to birds and frogs. G-LiHT data will help scientists understand how forests and wildlife respond to future changes. || SIGGRAPH_lidar_over_Puerto_Rico.01000_print.jpg (1024x576) [90.3 KB] || SIGGRAPH_lidar_over_Puerto_Rico.01000_searchweb.png (320x180) [89.6 KB] || SIGGRAPH_lidar_over_Puerto_Rico.01000_thm.png (80x40) [7.1 KB] || SIGGRAPH_PuertoRicoLidar.webm (1920x1080) [19.9 MB] || SIGGRAPH_lidar_over_Puerto_Rico.webm (1920x1080) [21.4 MB] || SIGGRAPH_PuertoRicoLidar.mp4 (1920x1080) [253.0 MB] || ", "release_date": "2019-07-29T18:30:00-04:00", "update_date": "2023-05-03T13:45:45.769286-04:00", "main_image": { "id": 398514, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004700/a004735/SIGGRAPH_lidar_over_Puerto_Rico.01000_print.jpg", "filename": "SIGGRAPH_lidar_over_Puerto_Rico.01000_print.jpg", "media_type": "Image", "alt_text": "Hurricane Maria transformed the lush rainforests of Puerto Rico leaving lots of openings in the forest canopy. NASA scientists studied the island's forests before and after the storm. Goddard's Lidar, Hyperspectral, and Thermal Imager (G-LiHT) is a portable instrument that maps forest health and structure from a small airplane resulting in detailed 3-D views of the forest. G-LiHT sends out 600,000 laser pulses every second mapping leaves and branches, rocks and streams. Almost 60% of the canopy trees lost branches, snapped in half, or were uprooted. Trees with wide, spreading crowns were reduced to a slender main trunk. Forests in Puerto Rico are now one-third shorter on average, after Hurricane Maria. The disturbances affected the whole ecosystem, from soils and streams to birds and frogs. G-LiHT data will help scientists understand how forests and wildlife respond to future changes. ", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411228, "type": "details_page", "extra_data": null, "instance": { "id": 4287, "url": "https://svs.gsfc.nasa.gov/4287/", "page_type": "Visualization", "title": "Major Hurricane Drought: Nine Years Without a Major Hurricane Making US Landfall", "description": "Hurricane tracks from 1980 through 2014. Green tracks did not make landfall in US; yellow tracks made landfall but were not major hurricanes at the time; red tracks made landfall and were major hurricanes.This video is also available on our YouTube channel. || final_comp.2574_print.jpg (1024x576) [64.4 KB] || final_comp.2574_searchweb.png (320x180) [51.3 KB] || final_comp.webm (1920x1080) [6.2 MB] || final_comp.mp4 (1920x1080) [7.9 MB] || final_comp (1920x1080) [64.0 KB] || 2015_final_comp (1920x1080) [64.0 KB] || final_comp.m4v (640x360) [4.2 MB] || ", "release_date": "2015-05-13T13:00:00-04:00", "update_date": "2023-05-03T13:49:43.593343-04:00", "main_image": { "id": 443458, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004200/a004287/final_comp.2574_print.jpg", "filename": "final_comp.2574_print.jpg", "media_type": "Image", "alt_text": "Hurricane tracks from 1980 through 2014. Green tracks did not make landfall in US; yellow tracks made landfall but were not major hurricanes at the time; red tracks made landfall and were major hurricanes.This video is also available on our YouTube channel.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411229, "type": "details_page", "extra_data": null, "instance": { "id": 4456, "url": "https://svs.gsfc.nasa.gov/4456/", "page_type": "Visualization", "title": "Global Hawk aircraft observes Hurricane Edouard", "description": "This animation shows how NASA scientists used an unmanned Global Hawk aircraft to study Hurricane Edouard. Dropsonde data is compared to SHIS curtain data as the aircraft flies back and forth over the storm. Relative humidity is displayed with blue representing dry air and red representing moist air. Additionally, dropsonde wind vector data is displayed using white arrows. This video is also available on our YouTube channel. || hs3_Eduardo_0650_print.jpg (1024x576) [93.2 KB] || hs3_Eduardo_0650_searchweb.png (320x180) [71.6 KB] || hs3_Eduardo_0650_thm.png (80x40) [6.7 KB] || hs3_Eduardo_1080p30.mp4 (1920x1080) [45.6 MB] || hs3_Eduardo_1080p30.webm (1920x1080) [4.4 MB] || hs3_edouard (3840x2160) [0 Item(s)] || hs3_Eduardo_2160p30.mp4 (3840x2160) [464.2 MB] || hs3_Eduardo_1080p30.mp4.hwshow [185 bytes] || ", "release_date": "2017-08-10T00:00:00-04:00", "update_date": "2025-01-05T23:02:05.941334-05:00", "main_image": { "id": 412115, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004400/a004456/hs3_Eduardo_0650_print.jpg", "filename": "hs3_Eduardo_0650_print.jpg", "media_type": "Image", "alt_text": "This animation shows how NASA scientists used an unmanned Global Hawk aircraft to study Hurricane Edouard. Dropsonde data is compared to SHIS curtain data as the aircraft flies back and forth over the storm. Relative humidity is displayed with blue representing dry air and red representing moist air. Additionally, dropsonde wind vector data is displayed using white arrows. This video is also available on our YouTube channel.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411230, "type": "details_page", "extra_data": null, "instance": { "id": 4439, "url": "https://svs.gsfc.nasa.gov/4439/", "page_type": "Visualization", "title": "High Resolution Layers from \"Monsoons: Wet, Dry, Repeat...\"", "description": "Composited layers - all layers on || comp_4098x2048.09000_print.jpg (1024x512) [242.1 KB] || comp_4098x2048.01000_searchweb.png (180x320) [127.2 KB] || comp_1920x1080p30.webm (1920x1080) [47.8 MB] || comp (4096x2048) [0 Item(s)] || comp_2048x1024p30.mp4 (2048x1024) [1.6 GB] || comp_1920x1080p30.mp4 (1920x1080) [1.6 GB] || comp_4098x2048_p30.mp4 (4096x2048) [6.4 GB] || comp_1920x1080p30.mp4.hwshow [183 bytes] || ", "release_date": "2016-06-23T00:00:00-04:00", "update_date": "2025-01-05T23:00:26.268243-05:00", "main_image": { "id": 438052, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004400/a004439/comp_4098x2048.09000_print.jpg", "filename": "comp_4098x2048.09000_print.jpg", "media_type": "Image", "alt_text": "Composited layers - all layers on ", "width": 1024, "height": 512, "pixels": 524288 } } }, { "id": 411231, "type": "details_page", "extra_data": null, "instance": { "id": 4397, "url": "https://svs.gsfc.nasa.gov/4397/", "page_type": "Visualization", "title": "Monsoons: Wet, Dry, Repeat...", "description": "This visualization shows the Asian monsoon and how it develops using observational and modeled data. It also showns some of the impacts.This video is also available on our YouTube channel. || monsoon_final_HD01.02500_print.jpg (1024x576) [182.2 KB] || final (1920x1080) [1.0 MB] || Monsoon_narrated_19201080p30.webm (1920x1080) [29.6 MB] || Monsoon_narrated_640x360p30.m4v (640x360) [43.4 MB] || monsoon_final_HD01_640x360_noNarration.m4v (640x360) [37.2 MB] || 3840x2160_16x9_60p (3840x2160) [1.0 MB] || monsoonnarrfull.en_US.srt [4.9 KB] || monsoonnarrfull.en_US.vtt [4.9 KB] || Monsoon_narrated_19201080p30.mp4 (1920x1080) [512.5 MB] || Monsoon_narrated_1920x1080p60_prores.mov (1920x1080) [7.3 GB] || monsoon_final_1920x1080p60_noNarration.mp4 (1920x1080) [387.4 MB] || monsoon_final_4kp30_noNarration.mp4 (3840x2160) [1.2 GB] || ", "release_date": "2016-06-23T00:00:00-04:00", "update_date": "2024-10-06T22:29:21.568765-04:00", "main_image": { "id": 438033, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004300/a004397/monsoon_final_4k01.08470_print.jpg", "filename": "monsoon_final_4k01.08470_print.jpg", "media_type": "Image", "alt_text": "In the summer the land gets hotter, heating the atmosphere and pulling in cooler air from the oceans. In the winter the land cools off and winds move towards the warmer ocean. Notice that there is a day-night temperature difference that varies around the seasonal averages.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411232, "type": "details_page", "extra_data": null, "instance": { "id": 4285, "url": "https://svs.gsfc.nasa.gov/4285/", "page_type": "Visualization", "title": "Near Real-Time Global Precipitation from the Global Precipitation Measurement Constellation", "description": "An animation of the most currently available global precipitation data from IMERG.", "release_date": "2015-03-31T12:00:00-04:00", "update_date": "2026-05-04T18:50:38.249767-04:00", "main_image": { "id": 375203, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004200/a004285/imergert_1080p_30_print.jpg", "filename": "imergert_1080p_30_print.jpg", "media_type": "Image", "alt_text": "The Global Precipitation Measurement (GPM) mission produces NASA's most comprehensive global rain and snowfall product to date, called the Integrated Multi-satellite Retrievals for GPM (IMERG). It is computed using data from the GPM constellation of satellites — a network of international satellites that currently includes the GPM Core Observatory, GCOM-W1, NOAA-18, NOAA-19, DMSP F-16, DMSP F-17, DMSP F-18, Metop-A, and Metop-B. The global IMERG dataset provides precipitation rates for the entire world every 30 minutes. Although the process to create the combined dataset is intensive, the GPM team creates a preliminary, near-real-time dataset of precipitation within several hours of data acquisition. This visualization shows the most currently available precipitation data from IMERG, depicting how rain and snowstorms move around the planet. As scientists work to understand all the elements of Earth's climate and weather systems, and how they could change in the future, GPM provides a major step forward in providing comprehensive and consistent measurements of precipitation for scientists and a wide variety of user communities.", "width": 576, "height": 1024, "pixels": 589824 } } }, { "id": 411233, "type": "details_page", "extra_data": null, "instance": { "id": 4382, "url": "https://svs.gsfc.nasa.gov/4382/", "page_type": "Visualization", "title": "IMERG Precipitation and MERRA Winds", "description": "Surface winds from MERRA over IMERG precipitation rates for October, 2014.This video is also available on our YouTube channel. || winds_precip_earth_1080p.00300_print.jpg (1024x576) [321.8 KB] || winds_precip_earth_1080p.00300_searchweb.png (320x180) [122.1 KB] || winds_precip_earth_1080p.00300_thm.png (80x40) [7.3 KB] || winds_precip_earth_1080p (1920x1080) [0 Item(s)] || winds_precip_earth_1080p_30.webm (1920x1080) [9.0 MB] || winds_precip_earth_1080p_30.mp4 (1920x1080) [248.6 MB] || winds_precip_earth (3600x1800) [0 Item(s)] || winds_precip_earth_4382.pptx [252.7 MB] || winds_precip_earth_4382.key [255.4 MB] || winds_precip_earth_1080p_30.mp4.hwshow [193 bytes] || ", "release_date": "2015-10-08T00:00:00-04:00", "update_date": "2025-02-02T00:07:41.624609-05:00", "main_image": { "id": 438870, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004300/a004382/winds_precip_earth_1080p.00300_print.jpg", "filename": "winds_precip_earth_1080p.00300_print.jpg", "media_type": "Image", "alt_text": "Surface winds from MERRA over IMERG precipitation rates for October, 2014.This video is also available on our YouTube channel.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411234, "type": "details_page", "extra_data": null, "instance": { "id": 30023, "url": "https://svs.gsfc.nasa.gov/30023/", "page_type": "Hyperwall Visual", "title": "Stratospheric Polar Vortex, January 2013", "description": "The northern hemisphere of the Earth, showing the stratospheric polar vortex around the Arctic. The animation covers December 15, 2012, through February 3, 2013. || epv_7mb_2012121500_print.jpg (1024x576) [83.3 KB] || epv_7mb_2013010815_1080_web.png (320x180) [32.9 KB] || epv_7mb_2012121500_searchweb.png (320x180) [30.9 KB] || epv_7mb_2013010815_1080.mp4 (1920x1080) [12.0 MB] || epv_7mb_2013010815_1080.webm (1920x1080) [1.7 MB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || 2400x2400_1x1_30p (2400x2400) [0 Item(s)] || aaa_title_slide.mp4 (2400x2400) [23.5 MB] || ", "release_date": "2013-01-22T00:00:00-05:00", "update_date": "2025-01-06T01:52:23.593298-05:00", "main_image": { "id": 427904, "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030000/a030023/epv_7mb_2012121500_print.jpg", "filename": "epv_7mb_2012121500_print.jpg", "media_type": "Image", "alt_text": "The northern hemisphere of the Earth, showing the stratospheric polar vortex around the Arctic. The animation covers December 15, 2012, through February 3, 2013.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411235, "type": "details_page", "extra_data": null, "instance": { "id": 30203, "url": "https://svs.gsfc.nasa.gov/30203/", "page_type": "Hyperwall Visual", "title": "Extreme Russian Fires and Pakistan Floods Linked Meteorologically", "description": "No description available.", "release_date": "2013-10-21T12:00:00-04:00", "update_date": "2024-07-15T00:14:57.509304-04:00", "main_image": { "id": 1, "url": "https://svs.gsfc.nasa.gov/images/no_preview_web_black.png", "filename": "no_preview_web_black.png", "media_type": "Image", "alt_text": "Current Airborne Fleet", "width": 320, "height": 180, "pixels": 57600 } } }, { "id": 411236, "type": "details_page", "extra_data": null, "instance": { "id": 4634, "url": "https://svs.gsfc.nasa.gov/4634/", "page_type": "Visualization", "title": "Global Fire Weather Database", "description": "The Global Fire WEather Database (GFWED) integrates different weather factors influencing the likelihood of a vegetation fire starting and spreading. It is based on the Fire Weather Index (FWI) System, which tracks the dryness of three general fuel classes, and the potential behavior of a fire if it were to start. Each day, FWI values are calculated from global weather data, including satellite rainfall data from the Global Precipitation Measurement (GPM) mission.The FWI System is the most widely used fire danger rating system in the world, and has been adopted for different boreal, temperate and tropical fire environments. GFWED provides a globally consistent fire weather dataset for fire researchers and managers to apply locally. The Fire Weather Index component is suitable as a general index of fire danger. Globally, shifts in continental-scale fire activity follow seasonal changes in the FWI. Over South America and Africa, regions of high FWI and active agricultural burning shift with the tropical rain belts, seen in the GPM precipitation overlay. Over North America and Eurasia, the FWI will ‘activate’ in the spring, and shows how week-to-week surges in fire activity can be driven by high FWI values. || ", "release_date": "2018-06-28T09:00:00-04:00", "update_date": "2025-02-02T22:37:10.349927-05:00", "main_image": { "id": 405426, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004600/a004634/globalView_Jan_Sep_2017_activeFirePrecipFWI_1080p30.00001_print.jpg", "filename": "globalView_Jan_Sep_2017_activeFirePrecipFWI_1080p30.00001_print.jpg", "media_type": "Image", "alt_text": "The global active fire, precipitation, and fire weather index data from January to September 2017, where active fires are indicated by black circles.", "width": 1024, "height": 576, "pixels": 589824 } } } ], "extra_data": {} }, { "id": 371395, "url": "https://svs.gsfc.nasa.gov/gallery/nasaearth-science/#media_group_371395", "widget": "Tile gallery", "title": "Climate Variability and Change", "caption": "", "description": "The Climate Variability and Change focus area (CVC) supports research to better understand the overall state of Earth’s climate and the physical processes that affect it. CVC supports focused and interdisciplinary research to better describe, understand, and predict the ways in which Earth’s ocean, atmosphere, land, and ice will interact and influence Earth’s climate over a wide range of timescales. To do this, CVC supports the development of climate data sets and computer models that leverage observations from relevant NASA and non-NASA platforms, including satellites, aircraft, and ships. These datasets include observations of sea surface height, temperature, and salinity; ocean currents and vector winds; sea ice extent and thickness; glacial topography, motion, and mass change; aerosol and cloud processes that affect Earth’s energy balance; and more. Through this work, CVC hopes to better predict changes in the Earth’s climate from sub-seasonal to multi-decadal time scales.", "items": [ { "id": 432202, "type": "details_page", "extra_data": null, "instance": { "id": 5327, "url": "https://svs.gsfc.nasa.gov/5327/", "page_type": "Visualization", "title": "Slow Reveal Graphs: Twelve consecutive months of global surface temperature records (June 2023 - May 2024)", "description": "Slow reveal graphs are an instructional routine using scaffolded visuals and discourse to help students (in K-12 and beyond) make sense of data. This is a slow reveal graph of the SVS visualization of Twelve consectutive months of global surface temperature records. || ", "release_date": "2024-07-17T06:00:00-04:00", "update_date": "2024-07-17T11:07:20-04:00", "main_image": { "id": 1095228, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a005300/a005327/GISTEMP_Lines_Rotate_SR_SBS.jpg", "filename": "GISTEMP_Lines_Rotate_SR_SBS.jpg", "media_type": "Image", "alt_text": "Static View: Side by sideQuestions to ask:What's the same and what's different between these two?Which do you like better and why?What information is easier to see in one over the other?Where do we see the months and years represented in each graph?How do you think each of these representations would look different if we fast forward and add 2, 5 or 10 more years of data?", "width": 2160, "height": 1080, "pixels": 2332800 } } }, { "id": 432203, "type": "details_page", "extra_data": null, "instance": { "id": 5328, "url": "https://svs.gsfc.nasa.gov/5328/", "page_type": "Visualization", "title": "Twelve consecutive months of global surface temperature records: June 2023 - May 2024", "description": "Each month from June 2023 to May 2024 set a record for the highest average global surface temperature. Temperature anomalies are deviations from a long term global average. In this case the period 1951-1980 is used to define the baseline for the anomaly. These temperatures are based on the GISS Surface Temperature Analysis (GISTEMP v4), an estimate of global surface temperature change. The data file used to create this visualization is publicaly accessible here. The Goddard Institute for Space Studies (GISS) in New York is a NASA laboratory managed by the Earth Sciences Division of the agency’s Goddard Space Flight Center in Greenbelt, Maryland. The laboratory is affiliated with Columbia University’s Earth Institute and School of Engineering and Applied Science in New York. || ", "release_date": "2024-07-13T00:00:00-04:00", "update_date": "2024-07-18T13:40:49-04:00", "main_image": null } }, { "id": 430175, "type": "details_page", "extra_data": null, "instance": { "id": 5311, "url": "https://svs.gsfc.nasa.gov/5311/", "page_type": "Visualization", "title": "Twelve consecutive months of global surface temperature records: June 2023 - May 2024", "description": "This visualization shows monthly global surface temperatures from 1880 to May 2024. The last 12 months (June 2023 through May 2024) each set a record as the warmest month in the temperature record. This version of the graph is in Fahrenheit. || GISTEMP_Lines_Rotate_2024_degF.00650_print.jpg (1024x1024) [428.6 KB] || GISTEMP_Lines_Rotate_2024_degF.00650_searchweb.png (320x180) [109.7 KB] || GISTEMP_Lines_Rotate_2024_degF.00650_thm.png (80x40) [7.5 KB] || GISTEMP_Lines_Rotate_2024_degF.mp4 (2160x2160) [57.3 MB] || ", "release_date": "2024-07-17T06:00:00-04:00", "update_date": "2024-07-17T07:24:17-04:00", "main_image": { "id": 1093307, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a005300/a005311/GISTEMP_Lines_Rotate_2024_degF.00650_print.jpg", "filename": "GISTEMP_Lines_Rotate_2024_degF.00650_print.jpg", "media_type": "Image", "alt_text": "This visualization shows monthly global surface temperatures from 1880 to May 2024. The last 12 months (June 2023 through May 2024) each set a record as the warmest month in the temperature record. This version of the graph is in Fahrenheit.", "width": 1024, "height": 1024, "pixels": 1048576 } } }, { "id": 422534, "type": "details_page", "extra_data": null, "instance": { "id": 5234, "url": "https://svs.gsfc.nasa.gov/5234/", "page_type": "Visualization", "title": "AIRS Global Carbon Dioxide (CO₂) measurements (2002-October 2023)", "description": "Data visualization showing the global distribution and variation of the concentration of mid-tropospheric carbon dioxide observed by the Atmospheric Infrared Sounder (AIRS) on the NASA Aqua spacecraft over a 20 year timespan.", "release_date": "2024-03-12T00:00:00-04:00", "update_date": "2026-03-18T15:01:29.453186-04:00", "main_image": { "id": 1089953, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a005200/a005234/global_co2_airs_60South_720x480.00253.png", "filename": "global_co2_airs_60South_720x480.00253.png", "media_type": "Image", "alt_text": "Monthly frames (720x480 resolution) of global carbon dioxide (CO₂) for the period September 2002-November 2023, showcasing data products from NASA's Aqua mission. Each frame represents a montly timestep for the period September 2002-November 2023.The CO2_frames_dates_values.csv can be used to sync frame number, date and CO₂ values..", "width": 720, "height": 586, "pixels": 421920 } } }, { "id": 418303, "type": "details_page", "extra_data": null, "instance": { "id": 5209, "url": "https://svs.gsfc.nasa.gov/5209/", "page_type": "Visualization", "title": "Zonal Climate Anomalies 1880-2023", "description": "A visualization of zonal temperature anomalies. The latitude zones are 90N-64N, 64N-44N, 44N-24N, 24N-EQU, EQU-24S, 24S-44S, 44S-64S, 64S-90S. The anomalies are calculated relative to a baseline period of 1951-1980. This version is in Celsius, an alternate version in Fahrenheit is also available. || GISTEMP_Zonal_1880-2023_C.00840_print.jpg (1024x576) [43.1 KB] || GISTEMP_Zonal_1880-2023_C.00840_searchweb.png (320x180) [18.0 KB] || GISTEMP_Zonal_1880-2023_C.00840_thm.png (80x40) [2.5 KB] || GISTEMP_Zonal_1880-2023_C.mp4 (3840x2160) [20.2 MB] || degC (3840x2160) [0 Item(s)] || GISTEMP_Zonal_1880-2023_C.mp4.hwshow || ", "release_date": "2024-01-12T11:00:00-05:00", "update_date": "2024-12-16T14:32:44-05:00", "main_image": { "id": 1088478, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a005200/a005209/GISTEMP_Zonal_1880-2023_C.00899_print.jpg", "filename": "GISTEMP_Zonal_1880-2023_C.00899_print.jpg", "media_type": "Image", "alt_text": "A visualization of zonal temperature anomalies. The latitude zones are 90N-64N, 64N-44N, 44N-24N, 24N-EQU, EQU-24S, 24S-44S, 44S-64S, 64S-90S. The anomalies are calculated relative to a baseline period of 1951-1980. This version is in Celsius, an alternate version in Fahrenheit is also available.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 417832, "type": "details_page", "extra_data": null, "instance": { "id": 5207, "url": "https://svs.gsfc.nasa.gov/5207/", "page_type": "Visualization", "title": "Global Temperature Anomalies from 1880 to 2023", "description": "This color-coded map in Robinson projection displays a progression of changing global surface temperature anomalies. Normal temperatures are shown in white. Higher than normal temperatures are shown in red and lower than normal temperatures are shown in blue. Normal temperatures are calculated over the 30 year baseline period 1951-1980. The maps are averages over a running 24 month window. The final frame represents global temperature anomalies in 2023. || 2023GISTEMP_Map.00899_print.jpg (1024x576) [138.7 KB] || 2023GISTEMP_Map.00899_searchweb.png (320x180) [66.6 KB] || 2023GISTEMP_Map.00899_thm.png (80x40) [6.4 KB] || 2023GISTEMP_Map.00899_web.png (320x180) [65.9 KB] || 2023GISTEMP_Map_HD.mp4 (1920x1080) [57.2 MB] || 3840x2160_16x9_30p (3840x2160) [0 Item(s)] || 2023GISTEMP_Map.mp4 (3840x2160) [114.3 MB] || earth_observations_5x3.hwshow || ", "release_date": "2024-01-12T11:00:00-05:00", "update_date": "2025-01-08T13:56:34-05:00", "main_image": { "id": 1088347, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a005200/a005207/2023GISTEMP_Map.00899_print.jpg", "filename": "2023GISTEMP_Map.00899_print.jpg", "media_type": "Image", "alt_text": "This color-coded map in Robinson projection displays a progression of changing global surface temperature anomalies. Normal temperatures are shown in white. Higher than normal temperatures are shown in red and lower than normal temperatures are shown in blue. Normal temperatures are calculated over the 30 year baseline period 1951-1980. The maps are averages over a running 24 month window. The final frame represents global temperature anomalies in 2023.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 414916, "type": "details_page", "extra_data": null, "instance": { "id": 5191, "url": "https://svs.gsfc.nasa.gov/5191/", "page_type": "Visualization", "title": "Global Temperature Graph 1880-2024", "description": "The seasonal cycle of average temperature variation on the earth's surface.", "release_date": "2023-11-16T00:00:00-05:00", "update_date": "2025-06-22T20:07:53.052254-04:00", "main_image": { "id": 1069938, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a005100/a005191/GISTEMP_Curves_English_degC_2160p60.01750_print.jpg", "filename": "GISTEMP_Curves_English_degC_2160p60.01750_print.jpg", "media_type": "Image", "alt_text": "The seasonal cycle of temperature variation on the earth's surface. This version is labeled in English and Celsius.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 414917, "type": "details_page", "extra_data": null, "instance": { "id": 5190, "url": "https://svs.gsfc.nasa.gov/5190/", "page_type": "Visualization", "title": "NASA Climate Spiral 1880-Present", "description": "The NASA climate spiral visualization of the GISTEMP global temperature record.", "release_date": "2023-11-15T00:00:00-05:00", "update_date": "2026-04-15T16:39:22.588306-04:00", "main_image": { "id": 1155055, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a005100/a005190/GISTEMP_Spiral_English_degC_1402_1080.jpg", "filename": "GISTEMP_Spiral_English_degC_1402_1080.jpg", "media_type": "Image", "alt_text": "The NASA climate spiral visualization with labels in English and Celsius.", "width": 1080, "height": 1080, "pixels": 1166400 } } }, { "id": 411237, "type": "details_page", "extra_data": null, "instance": { "id": 5161, "url": "https://svs.gsfc.nasa.gov/5161/", "page_type": "Visualization", "title": "Summer 2023 Record High Global Temperatures", "description": "This 'map shows monthly temperature anomalies measure from 1880 to August 2023 measured with respect to a the baseline period 1951-1980.Versions are provided in both English and Spanish. || GISTEMP_Summer2023_English_2160p30.00899_print.jpg (1024x576) [191.0 KB] || GISTEMP_Summer2023_English_2160p30.00899_searchweb.png (320x180) [74.2 KB] || GISTEMP_Summer2023_English_2160p30.00899_thm.png (80x40) [7.1 KB] || GISTEMP_Summer2023_English_1080p30.mp4 (1920x1080) [35.8 MB] || GISTEMP_Summer2023_Spanish_2160p30.mp4 (3840x2160) [36.2 MB] || gistemp-summer2023-english (3840x2160) [901 Item(s)] || GISTEMP_Summer2023_English_2160p30.mp4 (3840x2160) [106.5 MB] || GISTEMP_Summer2023_Spanish_2160p30.mp4.hwshow [113 bytes] || GISTEMP_Summer2023_English_2160p30.hwshow || GISTEMP_Summer2023_English_1080p30.mp4.hwshow [137 bytes] || ", "release_date": "2023-09-14T11:00:00-04:00", "update_date": "2025-03-16T23:04:25.185454-04:00", "main_image": { "id": 858682, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a005100/a005161/GISTEMP_Summer2023_English_2160p30.00899_print.jpg", "filename": "GISTEMP_Summer2023_English_2160p30.00899_print.jpg", "media_type": "Image", "alt_text": "This 'map shows monthly temperature anomalies measure from 1880 to August 2023 measured with respect to a the baseline period 1951-1980.Versions are provided in both English and Spanish.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411238, "type": "details_page", "extra_data": null, "instance": { "id": 5137, "url": "https://svs.gsfc.nasa.gov/5137/", "page_type": "Visualization", "title": "July 2023 Record High Global Temperatures", "description": "Monthly temperature anomalies measure from 1880 to July 2023 measured with respect to a the baseline period 1951-1980. This graph includes the seasonal cycle (from MERRA2) showing that July 2023 was the warmest month on record. Temperatures measured in Celsius, a Fahrenheit version of this graph is also available. || GISTEMP_Curves_July2023_1080p60.01800_print.jpg (1024x576) [164.8 KB] || GISTEMP_Curves_July2023_1080p60.01800_searchweb.png (320x180) [48.1 KB] || GISTEMP_Curves_July2023_1080p60.01800_thm.png (80x40) [4.1 KB] || GISTEMP_Curves_July2023_1080p60.mp4 (1920x1080) [38.8 MB] || GISTEMP_Curves_July2023_C_2160p60.mp4 (3840x2160) [105.6 MB] || ", "release_date": "2023-08-14T11:05:00-04:00", "update_date": "2023-09-27T12:39:33.119640-04:00", "main_image": { "id": 857673, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a005100/a005137/GISTEMP_Curves_July2023_1080p60.01800_print.jpg", "filename": "GISTEMP_Curves_July2023_1080p60.01800_print.jpg", "media_type": "Image", "alt_text": "Monthly temperature anomalies measure from 1880 to July 2023 measured with respect to a the baseline period 1951-1980. This graph includes the seasonal cycle (from MERRA2) showing that July 2023 was the warmest month on record. Temperatures measured in Celsius, a Fahrenheit version of this graph is also available.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411239, "type": "details_page", "extra_data": null, "instance": { "id": 5100, "url": "https://svs.gsfc.nasa.gov/5100/", "page_type": "Visualization", "title": "ICESat-2 Sea Ice Thickness 2023", "description": "A view of the Arctic Ocean with ICESat-2 monthly average sea ice thickness data from November 2018 to April 2022. Low values are depicted in light blue, and higher values (5 meters) are depicted in magenta.", "release_date": "2023-04-25T00:00:00-04:00", "update_date": "2025-12-29T00:17:09.103758-05:00", "main_image": { "id": 854916, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a005100/a005100/sea_ice_thickness_2023.2361_print.jpg", "filename": "sea_ice_thickness_2023.2361_print.jpg", "media_type": "Image", "alt_text": "A view of the Arctic Ocean with ICESat-2 monthly average sea ice thickness data from November 2018 to April 2022. Low values are depicted in light blue, and higher values (5 meters) are depicted in magenta.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411240, "type": "details_page", "extra_data": null, "instance": { "id": 5081, "url": "https://svs.gsfc.nasa.gov/5081/", "page_type": "Visualization", "title": "National Carbon Dioxide (CO₂) budgets inferred from atmospheric observations", "description": "National yearly carbon dioxide (CO₂) budgets for over 100 countries around the world for the period 2015-2020. || NationalCO2Budgets_Light_1080x1920_30fps_358.png (1080x1920) [1.4 MB] || NationalCO2Budgets_Light_1080x1920.mp4 (1080x1920) [12.3 MB] || NationalCarbonDioxideBudget_Light (1080x1920) [0 Item(s)] || NationalCO2Budgets_Light_1080x1920.webm (1080x1920) [1.4 MB] || ", "release_date": "2023-03-07T00:00:00-05:00", "update_date": "2024-02-21T11:24:37-05:00", "main_image": { "id": 765152, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a005000/a005081/NetCarbonEmissions_Light_1920x1080_30fps_360.png", "filename": "NetCarbonEmissions_Light_1920x1080_30fps_360.png", "media_type": "Image", "alt_text": "This visualization shows yearly net surface emissions and removals by more than 100 countries from 2015 to 2020. . Countries with emissions, seen here in red, appear to pop from the page, compared to countries with removals, seen in green. ", "width": 1920, "height": 1080, "pixels": 2073600 } } }, { "id": 411241, "type": "details_page", "extra_data": null, "instance": { "id": 5060, "url": "https://svs.gsfc.nasa.gov/5060/", "page_type": "Visualization", "title": "Global Temperature Anomalies from 1880 to 2022", "description": "This color-coded map in Robinson projection displays a progression of changing global surface temperature anomalies. Normal temperatures are shown in white. Higher than normal temperatures are shown in red and lower than normal temperatures are shown in blue. Normal temperatures are calculated over the 30 year baseline period 1951-1980. The final frame represents the 5 year global temperature anomalies from 2018-2022. || GISTEMP-2022-TemperatureAnomalyBothCelsiusFahrenheit.00899_print.jpg (1024x576) [145.3 KB] || GISTEMP-2022-TemperatureAnomalyBothCelsiusFahrenheit.00899_searchweb.png (180x320) [74.8 KB] || GISTEMP-2022-TemperatureAnomalyBothCelsiusFahrenheit.00899_thm.png (80x40) [6.3 KB] || GISTEMP-2022-TemperatureAnomalyBothCelsiusFahrenheit.mp4 (1920x1080) [57.8 MB] || celsius (1920x1080) [0 Item(s)] || celsius (3840x2160) [0 Item(s)] || ", "release_date": "2023-01-12T10:00:00-05:00", "update_date": "2024-01-25T14:18:26-05:00", "main_image": { "id": 552069, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a005000/a005060/GISTEMP-2022-TemperatureAnomalyBothCelsiusFahrenheit.00899_print.jpg", "filename": "GISTEMP-2022-TemperatureAnomalyBothCelsiusFahrenheit.00899_print.jpg", "media_type": "Image", "alt_text": "This color-coded map in Robinson projection displays a progression of changing global surface temperature anomalies. Normal temperatures are shown in white. Higher than normal temperatures are shown in red and lower than normal temperatures are shown in blue. Normal temperatures are calculated over the 30 year baseline period 1951-1980. The final frame represents the 5 year global temperature anomalies from 2018-2022. ", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411242, "type": "details_page", "extra_data": null, "instance": { "id": 5059, "url": "https://svs.gsfc.nasa.gov/5059/", "page_type": "Visualization", "title": "Zonal Climate Anomalies 1880-2022", "description": "A visualization of zonal temperature anomalies. The latitude zones are 90N-64N, 64N-44N, 44N-24N, 24N-EQU, EQU-24S, 24S-44S, 44S-64S, 64S-90S. The anomalies are calculated relative to a baseline period of 1951-1980. This version is in Fahrenheit, an alternate version in Celsius is also available. || GISTEMP_Zonal_F.00899_print.jpg (1024x576) [52.2 KB] || GISTEMP_Zonal_F.00899_searchweb.png (320x180) [21.1 KB] || GISTEMP_Zonal_F.00899_thm.png (80x40) [2.9 KB] || GISTEMP_Zonal_F.mp4 (3840x2160) [27.3 MB] || GISTEMP_Zonal_F.webm (3840x2160) [6.2 MB] || F (3840x2160) [0 Item(s)] || ", "release_date": "2023-01-12T11:00:00-05:00", "update_date": "2023-01-11T17:03:23-05:00", "main_image": { "id": 552011, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a005000/a005059/GISTEMP_Zonal_F.00899_print.jpg", "filename": "GISTEMP_Zonal_F.00899_print.jpg", "media_type": "Image", "alt_text": "A visualization of zonal temperature anomalies. The latitude zones are 90N-64N, 64N-44N, 44N-24N, 24N-EQU, EQU-24S, 24S-44S, 44S-64S, 64S-90S. The anomalies are calculated relative to a baseline period of 1951-1980. This version is in Fahrenheit, an alternate version in Celsius is also available.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411243, "type": "details_page", "extra_data": null, "instance": { "id": 5057, "url": "https://svs.gsfc.nasa.gov/5057/", "page_type": "Visualization", "title": "NASA Climate Spiral 1880-2022", "description": "The NASA climate spiral 1880-2022. This version is in Celsius; see below for an alternate version in Fahrenheit. Both a 30 fps, 60 second duration video and 60 fps, 30 second duration video are available. || GISTEMP_Spiral_60sec_C.01400_print.jpg (1024x1024) [283.8 KB] || GISTEMP_Spiral_60sec_C.01400_searchweb.png (180x320) [92.9 KB] || GISTEMP_Spiral_60sec_C.01400_thm.png (80x40) [6.6 KB] || GISTEMP_Spiral_30sec_C.mp4 (2160x2160) [20.3 MB] || GISTEMP_Spiral_60sec_C.mp4 (2160x2160) [38.3 MB] || GISTEMP_Spiral_60sec_C.webm (2160x2160) [8.2 MB] || C (2160x2160) [0 Item(s)] || ", "release_date": "2023-01-12T11:00:00-05:00", "update_date": "2025-03-16T22:57:07.091270-04:00", "main_image": { "id": 551996, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a005000/a005057/GISTEMP_Spiral_60sec_C.01400_print.jpg", "filename": "GISTEMP_Spiral_60sec_C.01400_print.jpg", "media_type": "Image", "alt_text": "The NASA climate spiral 1880-2022. This version is in Celsius; see below for an alternate version in Fahrenheit. 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Data visualization assets are designed for HD resolution. || co2airs_60South_1920x108030p.0794_print.jpg (1024x576) [170.8 KB] || 60South_exr (1920x1080) [0 Item(s)] || co2airs_60South_1920x1080p30.mp4 (1920x1080) [25.0 MB] || co2airs_60South_1920x108030p.0794.exr (1920x1080) [5.5 MB] || co2airs_60South_1920x1080p30.webm (1920x1080) [3.0 MB] || co2airs_60South_1920x1080p30.mp4.hwshow [194 bytes] || ", "release_date": "2023-01-31T22:00:00-05:00", "update_date": "2025-03-02T00:13:15.720093-05:00", "main_image": { "id": 552521, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a005000/a005024/5024_airs_co2_preview.png", "filename": "5024_airs_co2_preview.png", "media_type": "Image", "alt_text": "Monthly frames (720x480 resolution) of global carbon dioxide (CO2) for the period September 2002-March 2022, showcasing data products from NASA's Aqua mission. Each frame represents a montly timestep for the period September 2002-October 2022.The CO2_frames_dates_values.csv can be used to sync frame number, date and CO₂ values.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411245, "type": "details_page", "extra_data": null, "instance": { "id": 5022, "url": "https://svs.gsfc.nasa.gov/5022/", "page_type": "Visualization", "title": "OCO-2 Gridded Global Carbon Dioxide (CO₂)", "description": "Data visualization of global carbon dioxide (CO₂) for the period January 2015-February 2022, showcasing data from NASA's Obriting Carbon Observatory 2 (OCO-2) Gridded/Level 3 product. || oco2_3840x2160p60.1618_print.jpg (1024x576) [112.6 KB] || oco2_3840x2160p60.1618.png (3840x2160) [6.1 MB] || oco2_3840x2160p60.1618_print_searchweb.png (320x180) [53.9 KB] || oco2_3840x2160p60.1618_print_thm.png (80x40) [4.4 KB] || Composite (3840x2160) [0 Item(s)] || Composite (3840x2160) [0 Item(s)] || oco2_3840x2160p30.mp4 (3840x2160) [46.0 MB] || oco2_3840x2160_p60.mp4 (3840x2160) [45.1 MB] || oco2_3840x2160_p60.webm (3840x2160) [13.5 MB] || ", "release_date": "2023-02-24T16:00:00-05:00", "update_date": "2025-03-02T23:13:17.698444-05:00", "main_image": { "id": 367847, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a005000/a005022/oco2_SOS_thumbnail.png", "filename": "oco2_SOS_thumbnail.png", "media_type": "Image", "alt_text": "Thumbnail image for Science on a Sphere (SOS).", "width": 800, "height": 800, "pixels": 640000 } } }, { "id": 411246, "type": "details_page", "extra_data": null, "instance": { "id": 5025, "url": "https://svs.gsfc.nasa.gov/5025/", "page_type": "Visualization", "title": "20 years of AIRS Global Carbon Dioxide (CO₂) measurements (2002-May 2022)", "description": "Data visualization of global carbon dioxide (CO₂) for the period September 2002-May 2022, showcasing data products from NASA's Aqua mission. Data visualization assets are designed for HD resolution. || co2airs_60South_1920x108030p.0779.png (1920x1080) [1.8 MB] || co2airs_60South_1920x108030p.0779_print.jpg (1024x576) [171.8 KB] || co2airs_60South_1920x108030p.mp4 (1920x1080) [31.8 MB] || 60South_exr (1920x1080) [0 Item(s)] || co2airs_60South_1920x108030p.webm (1920x1080) [3.0 MB] || co2airs_60South_1920x108030p.mp4.hwshow [194 bytes] || ", "release_date": "2022-09-14T17:30:00-04:00", "update_date": "2025-03-02T00:13:15.889859-05:00", "main_image": { "id": 369363, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a005000/a005025/5025_airs_co2_720x405.jpg", "filename": "5025_airs_co2_720x405.jpg", "media_type": "Image", "alt_text": "Monthly frames (720x480 resolution) of global carbon dioxide (CO₂) for the period September 2002-May 2022, showcasing data products from NASA's Aqua mission. Each frame represents a montly timestep for the period September 2002-May 2022.The CO2_frames_dates_values.csv can be used to sync frame number, date and CO₂ values.", "width": 720, "height": 405, "pixels": 291600 } } }, { "id": 411247, "type": "details_page", "extra_data": null, "instance": { "id": 5007, "url": "https://svs.gsfc.nasa.gov/5007/", "page_type": "Visualization", "title": "Trends in Global Atmospheric Methane (CH₄)", "description": "Timeplot of global atmospheric methane (CH4) showing the full NOAA record (September 1983-March 2022). This version is created with a dark background. || MethaneTrends_Dark_3840x216030p.1512_print.jpg (1024x576) [44.0 KB] || MethaneTrends_Dark_3840x216030p.1512.png (3840x2160) [508.9 KB] || MethaneTrends_Dark_3840x216030p.1512_searchweb.png (180x320) [13.1 KB] || MethaneTrends_Dark_3840x216030p.1512_thm.png (80x40) [2.2 KB] || MethaneTrends_Dark_3840x216030p.1512_web.png (320x180) [13.1 KB] || MethaneTrends_Dark_1080p30.mp4 (1920x1080) [3.7 MB] || MethaneTrends_Dark_1080p30.webm (1920x1080) [4.6 MB] || MethaneTrends_Dark (3840x2160) [0 Item(s)] || MethaneTrends_Dark_3840x216030p.mp4 (3840x2160) [16.4 MB] || MethaneTrends_Dark_3840x216030p.1512.exr (3840x2160) [886.5 KB] || ", "release_date": "2022-08-11T00:00:00-04:00", "update_date": "2025-03-09T22:55:56.437892-04:00", "main_image": { "id": 369809, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a005000/a005007/MethaneTrends_Dark_3840x216030p.1512_print.jpg", "filename": "MethaneTrends_Dark_3840x216030p.1512_print.jpg", "media_type": "Image", "alt_text": "Timeplot of global atmospheric methane (CH4) showing the full NOAA record (September 1983-March 2022). This version is created with a dark background.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411248, "type": "details_page", "extra_data": null, "instance": { "id": 4990, "url": "https://svs.gsfc.nasa.gov/4990/", "page_type": "Visualization", "title": "20 years of AIRS Global Carbon Dioxide (CO₂) measurements (2002- March 2022)", "description": "Data visualization of global carbon dioxide (CO2) for the period September 2002-March 2022, showcasing data products from NASA's Aqua mission. Data visualization assets are designed for HD resolution. || co2airs_60South_1920x108030p.0771.png (1920x1080) [1.8 MB] || co2airs_60South_1920x1080p30.mp4 (1920x1080) [24.2 MB] || composite_60South (1920x1080) [0 Item(s)] || co2airs_60South_1920x1080p30.webm (1920x1080) [2.9 MB] || co2airs_60South_1920x1080p30.mp4.hwshow [228 bytes] || ", "release_date": "2022-05-28T00:00:00-04:00", "update_date": "2025-03-02T00:12:59.951965-05:00", "main_image": { "id": 370913, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004900/a004990/global_co2_airs_1024x576.jpg", "filename": "global_co2_airs_1024x576.jpg", "media_type": "Image", "alt_text": "Monthly frames (720x480 resolution) of global carbon dioxide (CO2) for the period September 2002-March 2022, showcasing data products from NASA's Aqua mission. Each frame represents a montly timestep for the period September 2002-March 2022.The CO2_frames_dates_values.csv can be used to sync frame number, date and CO2 values.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411249, "type": "details_page", "extra_data": null, "instance": { "id": 4988, "url": "https://svs.gsfc.nasa.gov/4988/", "page_type": "Visualization", "title": "ICESat-2 Sea Ice Thickness 2022", "description": "A view of the Arctic Ocean with ICESat-2 monthly average sea ice thickness data from November 2018 to April 2021. Low values are depicted in light blue, and higher values (5 meters) are depicted in magenta. || sea_ice_thickness_2022.1000_print.jpg (1024x576) [159.6 KB] || sea_ice_thickness_2022.1000_searchweb.png (320x180) [74.6 KB] || sea_ice_thickness_2022.1000_thm.png (80x40) [6.1 KB] || sea_ice_thickness_2022_1080p30.mp4 (1920x1080) [27.3 MB] || sea_ice_thickness_2022_1080p30.webm (1920x1080) [3.9 MB] || sea_ice_2022 (5760x3240) [0 Item(s)] || sea_ice_thickness_2022_2160p30.mp4 (3840x2160) [66.4 MB] || ", "release_date": "2022-04-08T00:00:00-04:00", "update_date": "2025-01-06T00:20:18.622203-05:00", "main_image": { "id": 371976, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004900/a004988/sea_ice_thickness_2022.1000_print.jpg", "filename": "sea_ice_thickness_2022.1000_print.jpg", "media_type": "Image", "alt_text": "A view of the Arctic Ocean with ICESat-2 monthly average sea ice thickness data from November 2018 to April 2021. Low values are depicted in light blue, and higher values (5 meters) are depicted in magenta. ", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411250, "type": "details_page", "extra_data": null, "instance": { "id": 4978, "url": "https://svs.gsfc.nasa.gov/4978/", "page_type": "Visualization", "title": "Zonal Climate Anomalies", "description": "A visualization of zonal temperature anomalies. The latitude zones are 90N-64N, 64N-44N, 44N-24N, 24N-EQU, EQU-24S, 24S-44S, 44S-64S, 64S-90S. The anomalies are calculated relative to a baseline period of 1951-1980. || GISTEMP_Zonal_2022-02-11_1520.01418_print.jpg (1024x576) [44.0 KB] || GISTEMP_Zonal_2022-02-11_1520.01418_searchweb.png (320x180) [18.9 KB] || GISTEMP_Zonal_2022-02-11_1520.01418_thm.png (80x40) [2.6 KB] || GISTEMP_Zonal_2022-02-11_1520.mp4 (1920x1080) [10.6 MB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || GISTEMP_Zonal_2022-02-11_1520.webm (1920x1080) [5.5 MB] || GISTEMP_Zonal_2022-02-11_1520.mp4.hwshow || ", "release_date": "2022-03-07T23:00:00-05:00", "update_date": "2025-06-23T00:13:32.078620-04:00", "main_image": { "id": 372599, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004900/a004978/GISTEMP_Zonal_2022-02-11_1520.01418_print.jpg", "filename": "GISTEMP_Zonal_2022-02-11_1520.01418_print.jpg", "media_type": "Image", "alt_text": "A visualization of zonal temperature anomalies. The latitude zones are 90N-64N, 64N-44N, 44N-24N, 24N-EQU, EQU-24S, 24S-44S, 44S-64S, 64S-90S. The anomalies are calculated relative to a baseline period of 1951-1980.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411251, "type": "details_page", "extra_data": null, "instance": { "id": 4975, "url": "https://svs.gsfc.nasa.gov/4975/", "page_type": "Visualization", "title": "GISTEMP Climate Spiral", "description": "The GISTEMP climate spiral 1880-2021. This version is in Celsius, see below for an alternate version in Fahrenheit. || GISTEMP_Spiral_2022-03-06_2257.01710_print.jpg (1024x576) [122.0 KB] || GISTEMP_Spiral_2022-03-06_2257.01710_searchweb.png (320x180) [43.9 KB] || GISTEMP_Spiral_2022-03-06_2257.01710_thm.png (80x40) [3.6 KB] || GISTEMP_Spiral_2022-03-06_1851_1080sq.mp4 (1080x1080) [21.6 MB] || GISTEMP_Spiral_2022-03-06_1851_1080sq.webm (1080x1080) [8.0 MB] || GISTEMP_Spiral_2022-03-06_2257.mp4 (3840x2160) [33.0 MB] || 3840x2160_16x9_30p (3840x2160) [0 Item(s)] || GISTEMP_Spiral.hwshow [112 bytes] || ", "release_date": "2022-03-07T22:00:00-05:00", "update_date": "2025-06-23T00:13:30.332955-04:00", "main_image": { "id": 372606, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004900/a004975/GISTEMP_Spiral_2022-03-06_2257.01710_print.jpg", "filename": "GISTEMP_Spiral_2022-03-06_2257.01710_print.jpg", "media_type": "Image", "alt_text": "The GISTEMP climate spiral 1880-2021. This version is in Celsius, see below for an alternate version in Fahrenheit.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411252, "type": "details_page", "extra_data": null, "instance": { "id": 4964, "url": "https://svs.gsfc.nasa.gov/4964/", "page_type": "Visualization", "title": "Global Temperature Anomalies from 1880 to 2021", "description": "This color-coded map in Robinson projection displays a progression of changing global surface temperature anomalies. Normal temperatures are shown in white. Higher than normal temperatures are shown in red and lower than normal temperatures are shown in blue. Normal temperatures are calculated over the 30 year baseline period 1951-1980. The final frame represents the 5 year global temperature anomalies from 2017-2021. Scale in degrees Fahrenheit. || 2021f-TemperatureAnomalyF.0900_print.jpg (1024x576) [164.1 KB] || 2021f-TemperatureAnomalyF.0900_searchweb.png (180x320) [74.9 KB] || 2021f-TemperatureAnomalyF.0900_thm.png (80x40) [14.4 KB] || 2021f-TemperatureAnomalyF.0900.tif (1920x1080) [1.6 MB] || 2021GISStempF-5yrAvg.mp4 (1920x1080) [41.1 MB] || fahrenheit (1920x1080) [0 Item(s)] || 2021GISStempF-5yrAvg.webm (1920x1080) [3.4 MB] || 2021TempAnomalyF_GISSTEMP_1080p30.mp4.hwshow || ", "release_date": "2022-01-13T00:00:00-05:00", "update_date": "2025-06-23T00:13:24.073238-04:00", "main_image": { "id": 373796, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004900/a004964/2021f-TemperatureAnomalyF.0900_print.jpg", "filename": "2021f-TemperatureAnomalyF.0900_print.jpg", "media_type": "Image", "alt_text": "This color-coded map in Robinson projection displays a progression of changing global surface temperature anomalies. Normal temperatures are shown in white. Higher than normal temperatures are shown in red and lower than normal temperatures are shown in blue. Normal temperatures are calculated over the 30 year baseline period 1951-1980. The final frame represents the 5 year global temperature anomalies from 2017-2021. Scale in degrees Fahrenheit.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411253, "type": "details_page", "extra_data": null, "instance": { "id": 31168, "url": "https://svs.gsfc.nasa.gov/31168/", "page_type": "Hyperwall Visual", "title": "What NASA Knows from Decades of Earth System Observations", "description": "Karen St. Germain, NASA's Director of Earth Science, gave this presentation to the 2021 United Nations Climate Change ConferenceWatch this video on the NASA Goddard YouTube channel. || KarenStGermain_4k_COP26_Presentation_Final_103850_print.jpg (1024x576) [143.2 KB] || KarenStGermain_4k_COP26_Presentation_Final_103850_searchweb.png (320x180) [87.7 KB] || KarenStGermain_4k_COP26_Presentation_Final_103850_thm.png (80x40) [6.7 KB] || KarenStGermain_HD_COP26_Presentation_Final.webm (1920x1080) [106.3 MB] || KarenStGermain_HD_COP26_Presentation_Final.mp4 (1920x1080) [1008.1 MB] || KarenStGFinal (3840x2160) [0 Item(s)] || transcript_StGermain.en_US.srt [13.6 KB] || transcript_StGermain.en_US.vtt [13.2 KB] || KarenStGermain_4k_COP26_Presentation_Final.mp4 (3840x2160) [7.6 GB] || ", "release_date": "2021-12-13T00:00:00-05:00", "update_date": "2025-02-03T00:52:40.917029-05:00", "main_image": { "id": 376487, "url": "https://svs.gsfc.nasa.gov/vis/a030000/a031100/a031168/KarenStGermain_4k_COP26_Presentation_Final_103850_print.jpg", "filename": "KarenStGermain_4k_COP26_Presentation_Final_103850_print.jpg", "media_type": "Image", "alt_text": "Karen St. Germain, NASA's Director of Earth Science, gave this presentation to the 2021 United Nations Climate Change ConferenceWatch this video on the NASA Goddard YouTube channel.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411254, "type": "details_page", "extra_data": null, "instance": { "id": 4913, "url": "https://svs.gsfc.nasa.gov/4913/", "page_type": "Visualization", "title": "ICESat-2 Maps Subglacial Lakes in Antarctica", "description": "Data visualization featuring precise map of Mercer and Conway subglacial lakes in West Antarctica. The visualization sequence starts with a view of the Americas and slowly zooms into the suture between the Mercer and Whillans ice streams. Surface-height anomaly data from NASA's ICESat-2 mission provide critical insight for the drain-fill cycles of subglacial lakes and aid in the discovery of two new water bodies within the same region. This data-driven visualization includes labels of ice formations close to the area of interest and repeats playback of the segment of the subglacial lakes surface-height anomalies. || SubglacialLakesCompositex2_4K60fps_0904_print.jpg (1024x576) [88.8 KB] || SubglacialLakesCompositex2_4K60fps_0904.png (3840x2160) [5.9 MB] || Compositex2 (1920x1080) [0 Item(s)] || SubglacialLakesCompositex2_HD60fps.mp4 (1920x1080) [58.4 MB] || SubglacialLakesCompositex2_1080p30.mp4 (1920x1080) [53.8 MB] || SubglacialLakesCompositex2_HD60fps.webm (1920x1080) [6.9 MB] || Compositex2_4K (3840x2160) [0 Item(s)] || SubglacialLakesCompositex2_4K60fps.mp4 (3840x2160) [58.5 MB] || SubglacialLakesCompositex2_4K30fps.mp4 (3840x2160) [182.4 MB] || SubglacialLakesCompositex2_1080p30.mp4.hwshow [200 bytes] || ", "release_date": "2021-07-29T19:00:00-04:00", "update_date": "2025-01-06T00:18:54.578391-05:00", "main_image": { "id": 378133, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004900/a004913/StudyAreaWithOutlines_1920x108060fps_282_print.jpg", "filename": "StudyAreaWithOutlines_1920x108060fps_282_print.jpg", "media_type": "Image", "alt_text": "Data visualization sequence of surface-height anomaly data from NASA's ICESat-2 mission for Conway and Mercer subglacial lakes. This sequence includes colorbar, timestamp, scale bar and lake outlines.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411255, "type": "details_page", "extra_data": null, "instance": { "id": 4908, "url": "https://svs.gsfc.nasa.gov/4908/", "page_type": "Visualization", "title": "Climate Drivers", "description": "Data visualization of human and natural drivers of climate change for the period 1850-2018, showcasing data products from NASA's GISS Model E 2.1-G and observations.Dr. Gavin Schmidt uses this visual to explain NASA's role in tracking and predicting climate at the 2021 COP26 conference - https://www.youtube.com/watch?v=CCAcKuJaJOg. || ClimateDrivers_3840x2160_30fps_923_print.jpg (1024x576) [106.7 KB] || ClimateDrivers_3840x2160_30fps_923_searchweb.png (320x180) [44.7 KB] || ClimateDrivers_3840x2160_30fps_923_thm.png (80x40) [4.9 KB] || ClimateDrivers_1080p30.mp4 (1920x1080) [13.2 MB] || ClimateDrivers_1080p30.webm (1920x1080) [3.6 MB] || Composite (3840x2160) [0 Item(s)] || ClimateDrivers_3840x2160p30.mp4 (3840x2160) [36.1 MB] || ClimateDrivers_3840x2160_30fps_923.tif (3840x2160) [31.7 MB] || ClimateDrivers_1080p30.mp4.hwshow || ", "release_date": "2021-06-30T11:00:00-04:00", "update_date": "2025-06-23T00:13:01.639067-04:00", "main_image": { "id": 378289, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004900/a004908/ClimateDrivers_3840x2160_30fps_923_print.jpg", "filename": "ClimateDrivers_3840x2160_30fps_923_print.jpg", "media_type": "Image", "alt_text": "Data visualization of human and natural drivers of climate change for the period 1850-2018, showcasing data products from NASA's GISS Model E 2.1-G and observations.Dr. Gavin Schmidt uses this visual to explain NASA's role in tracking and predicting climate at the 2021 COP26 conference - https://www.youtube.com/watch?v=CCAcKuJaJOg.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411256, "type": "details_page", "extra_data": null, "instance": { "id": 4901, "url": "https://svs.gsfc.nasa.gov/4901/", "page_type": "Visualization", "title": "Climate Drivers", "description": "What are the latest climate models saying about why climate has changed and what might happen in the future? Scientists improve these models using the latest satellite data.GISS is a NASA laboratory managed by the Earth Sciences Division of the agency’s Goddard Space Flight Center in Greenbelt, Maryland. The laboratory is affiliated with Columbia University’s Earth Institute and School of Engineering and Applied Science in New York. || ", "release_date": "2021-05-31T00:00:00-04:00", "update_date": "2021-05-31T21:59:26.249029-04:00", "main_image": { "id": 380290, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004900/a004901/just_years-date.1000_print.jpg", "filename": "just_years-date.1000_print.jpg", "media_type": "Image", "alt_text": "All frames on this page are showing the same time sequence. THis is the corresponding year for all of the frame sequences.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411257, "type": "details_page", "extra_data": null, "instance": { "id": 4849, "url": "https://svs.gsfc.nasa.gov/4849/", "page_type": "Visualization", "title": "Godzilla Dust Storm", "description": "Visualization of the Godzilla Dust Storm during June 2020. || GodzillaShot1_1920x1080_60fps_2222_print.jpg (1024x576) [259.0 KB] || GodzillaShot1_1920x1080_60fps_2222_searchweb.png (320x180) [117.7 KB] || GodzillaShot1_1920x1080_60fps_2222_thm.png (80x40) [8.7 KB] || GlobalView (1920x1080) [0 Item(s)] || GlobalView (1920x1080) [0 Item(s)] || GodzillaShot1_1920x1080_60fps_2222.tif (1920x1080) [10.2 MB] || GodzillaShot1_1920x1080p30.webm (1920x1080) [8.7 MB] || GodzillaShot1_1920x1080p30.mp4 (1920x1080) [115.7 MB] || GlobalView (3840x2160) [0 Item(s)] || GodzillaShot1_3840x2160_60fps_2222.tif (3840x2160) [38.1 MB] || GlobalView (3840x2160) [0 Item(s)] || GodzillaShot1_3840x2160p30.mp4 (3840x2160) [377.9 MB] || GodzillaShot1_3840x2160p60.mp4 (3840x2160) [425.4 MB] || GodzillaShot1_1920x1080p30.mp4.hwshow [192 bytes] || ", "release_date": "2021-04-19T09:30:00-04:00", "update_date": "2025-01-06T00:18:23.800886-05:00", "main_image": { "id": 379251, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004800/a004849/GodzillaShot1_1920x1080_60fps_2222_print.jpg", "filename": "GodzillaShot1_1920x1080_60fps_2222_print.jpg", "media_type": "Image", "alt_text": "Visualization of the Godzilla Dust Storm during June 2020.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411258, "type": "details_page", "extra_data": null, "instance": { "id": 4895, "url": "https://svs.gsfc.nasa.gov/4895/", "page_type": "Visualization", "title": "Historical Atlantic Multidecadal Oscillation (AMO)", "description": "Visualization of Sea Surface Temperature (SST) Anomaly with corresponding timeplot tracking the Atlantic Multidecadal Oscillation (AMO) Index over the North Atlantic (0-80N) for the period of 1900-2005. || HistoricalAMO_1920x1080.60fps_2480.png (1920x1080) [1.2 MB] || HistoricalAMO_1920x1080.60fps_2480_print.jpg (1024x576) [88.9 KB] || HistoricalAMO_3840x2160.60fps_2480.png (3840x2160) [3.6 MB] || HistoricalAMO_1920x1080.60fps_2480_searchweb.png (320x180) [43.1 KB] || HistoricalAMO_1920x1080.60fps_2480_thm.png (80x40) [4.8 KB] || HistoricalAMO (1920x1080) [0 Item(s)] || HistoricalAMO (1920x1080) [0 Item(s)] || HistoricalAMO_1920x1080p60.mp4 (1920x1080) [19.0 MB] || HistoricalAMO_1920x1080p30.mp4 (1920x1080) [24.0 MB] || HistoricalAMO (3840x2160) [0 Item(s)] || HIstoricAMOComposite_3840x2160p30.webm (3840x2160) [7.8 MB] || HistoricalAMO_3840x2160p60.mp4 (3840x2160) [155.5 MB] || HIstoricAMOComposite_3840x2160p30.mp4 (3840x2160) [186.8 MB] || ", "release_date": "2021-04-19T09:30:00-04:00", "update_date": "2025-01-06T00:18:48.783191-05:00", "main_image": { "id": 379031, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004800/a004895/HistoricalAMO_1920x1080.60fps_2480.png", "filename": "HistoricalAMO_1920x1080.60fps_2480.png", "media_type": "Image", "alt_text": "Visualization of Sea Surface Temperature (SST) Anomaly with corresponding timeplot tracking the Atlantic Multidecadal Oscillation (AMO) Index over the North Atlantic (0-80N) for the period of 1900-2005. ", "width": 1920, "height": 1080, "pixels": 2073600 } } }, { "id": 411259, "type": "details_page", "extra_data": null, "instance": { "id": 4882, "url": "https://svs.gsfc.nasa.gov/4882/", "page_type": "Visualization", "title": "Global Temperature Anomalies from 1880 to 2020", "description": "This color-coded map in Robinson projection displays a progression of changing global surface temperature anomalies. Normal temperatures are the average over the 30 year baseline period 1951-1980. Higher than normal temperatures are shown in red and lower than normal temperatures are shown in blue. The final frame represents the 5 year global temperature anomalies from 2016-2020. Scale in degrees Celsius. || print_cel2020_00000_print.jpg (1024x576) [184.6 KB] || print_cel2020_00000_searchweb.png (320x180) [71.3 KB] || print_cel2020_00000_thm.png (80x40) [6.5 KB] || GISSTEMP_celsius_fade_composite.mp4 (1920x1080) [69.1 MB] || GISSTEMP_celsius_fade_composite.webm (1920x1080) [3.4 MB] || print_cel2020_00000.tif (3840x2160) [23.7 MB] || ", "release_date": "2021-01-14T11:00:00-05:00", "update_date": "2025-06-23T00:12:53.857233-04:00", "main_image": { "id": 380257, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004800/a004882/print_cel2020_00000_print.jpg", "filename": "print_cel2020_00000_print.jpg", "media_type": "Image", "alt_text": "This color-coded map in Robinson projection displays a progression of changing global surface temperature anomalies. Normal temperatures are the average over the 30 year baseline period 1951-1980. Higher than normal temperatures are shown in red and lower than normal temperatures are shown in blue. The final frame represents the 5 year global temperature anomalies from 2016-2020. Scale in degrees Celsius.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411260, "type": "details_page", "extra_data": null, "instance": { "id": 13699, "url": "https://svs.gsfc.nasa.gov/13699/", "page_type": "Produced Video", "title": "Tracking Three Decades of Dramatic Glacial Lake Growth", "description": "Music: \"Dew\" by Matthew Nicholson [PRS], Suki Jeanette Finn [PRS]This video can be freely shared and downloaded. While the video in its entirety can be shared without permission, some individual imagery provided by pond5.com is obtained through permission and may not be excised or remixed in other products. Specific details on stock footage may be found here. For more information on NASA’s media guidelines, visit https://www.nasa.gov/multimedia/guidelines/index.html.Complete transcript available. || ImjaLake.jpg (1920x1080) [1.2 MB] || ImjaLake_print.jpg (1024x576) [382.8 KB] || ImjaLake_searchweb.png (320x180) [109.6 KB] || ImjaLake_web.png (320x180) [109.6 KB] || ImjaLake_thm.png (80x40) [7.5 KB] || 13699_GlacierLake820.mov (1920x1080) [1.9 GB] || 13699_GlacierLake820.mp4 (1920x1080) [138.4 MB] || 13699_GlacierLake820.webm (1920x1080) [15.0 MB] || GlacierLake820.en_US.srt [2.1 KB] || GlacierLake820.en_US.vtt [2.1 KB] || ", "release_date": "2020-08-31T11:00:00-04:00", "update_date": "2023-05-03T13:44:44.011351-04:00", "main_image": { "id": 383273, "url": "https://svs.gsfc.nasa.gov/vis/a010000/a013600/a013699/ImjaLake.jpg", "filename": "ImjaLake.jpg", "media_type": "Image", "alt_text": "Music: \"Dew\" by Matthew Nicholson [PRS], Suki Jeanette Finn [PRS]This video can be freely shared and downloaded. While the video in its entirety can be shared without permission, some individual imagery provided by pond5.com is obtained through permission and may not be excised or remixed in other products. Specific details on stock footage may be found here. For more information on NASA’s media guidelines, visit https://www.nasa.gov/multimedia/guidelines/index.html.Complete transcript available.", "width": 1920, "height": 1080, "pixels": 2073600 } } }, { "id": 411261, "type": "details_page", "extra_data": null, "instance": { "id": 4834, "url": "https://svs.gsfc.nasa.gov/4834/", "page_type": "Visualization", "title": "First Global Survey of Glacial Lakes Shows 30-Years of Dramatic Growth", "description": "Data visualization featuring the glacier rich region of the Himalayas, along with many of Earth’s highest peaks. The visualization sequence starts with a wide view of the Tibetan plateau and moves along a hiking path highlighting Mt. Everest, Mt. Lhotse, Mt Nuptse, the Everest Base Camp, the Khumbhu glacier, all the way to Imja Lake. Moving to a top-down view of Imja Lake, a time series of Landsat data unveils its dramatic growth for the period 1989-2019.This video is also available on our YouTube channel. || imja_final_4k.4600_print.jpg (1024x576) [114.8 KB] || imja_final_4k.4600_searchweb.png (320x180) [101.5 KB] || imja_final_4k.4600_web.png (320x180) [101.5 KB] || imja_final_4k.4600_thm.png (80x40) [7.5 KB] || imja_final_HD_1080p60.mp4 (1920x1080) [72.9 MB] || 1920x1080_16x9_60p (1920x1080) [0 Item(s)] || imja_final_HD_1080p60.webm (1920x1080) [19.7 MB] || with_cities (3840x2160) [0 Item(s)] || captions_silent.30013.en_US.srt [43 bytes] || imja_final_4k_2160p60.mp4 (3840x2160) [215.1 MB] || imja_final_2160p60_prores.mov (3840x2160) [16.9 GB] || ", "release_date": "2020-08-31T11:00:00-04:00", "update_date": "2025-01-06T00:03:01.527098-05:00", "main_image": { "id": 383834, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004800/a004834/imja_final_4k.4600_print.jpg", "filename": "imja_final_4k.4600_print.jpg", "media_type": "Image", "alt_text": "Data visualization featuring the glacier rich region of the Himalayas, along with many of Earth’s highest peaks. The visualization sequence starts with a wide view of the Tibetan plateau and moves along a hiking path highlighting Mt. Everest, Mt. Lhotse, Mt Nuptse, the Everest Base Camp, the Khumbhu glacier, all the way to Imja Lake. Moving to a top-down view of Imja Lake, a time series of Landsat data unveils its dramatic growth for the period 1989-2019.This video is also available on our YouTube channel.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411262, "type": "details_page", "extra_data": null, "instance": { "id": 4796, "url": "https://svs.gsfc.nasa.gov/4796/", "page_type": "Visualization", "title": "Land Ice Height Change Between ICESat and ICESat-2", "description": "This visualization depicts changes in Antarctic land ice thickness as measured by the ICESat (2003-2009) and ICESat-2 (2018-) satellites. The camera zooms into a region near the Kamb ice stream to compare ICESat and ICESat-2 beam tracks. The beam intersections are highlighted to explain how the data at these points are used to measure how land ice has changed over time. After exploring a few regions in detail, the camera moves out to a global view and an ocean temperature dataset is revealed. || land_ice_antarctica.2870_print.jpg (1024x576) [70.5 KB] || land_ice_antarctica.2870_searchweb.png (320x180) [61.2 KB] || land_ice_antarctica_1080p30.mp4 (1920x1080) [48.6 MB] || land_ice_antarctica_1080p30.webm (1920x1080) [8.8 MB] || land_ice_antarctica (3840x2160) [0 Item(s)] || land_ice_antarctica (5760x3240) [0 Item(s)] || land_ice_antarctica_2160p30.mp4 (3840x2160) [129.9 MB] || land_ice_antarctica_1080p30.mp4.hwshow || ", "release_date": "2020-04-30T14:00:00-04:00", "update_date": "2025-05-14T00:10:59.570018-04:00", "main_image": { "id": 396621, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004700/a004796/land_ice_antarctica.2870_print.jpg", "filename": "land_ice_antarctica.2870_print.jpg", "media_type": "Image", "alt_text": "This visualization depicts changes in Antarctic land ice thickness as measured by the ICESat (2003-2009) and ICESat-2 (2018-) satellites. The camera zooms into a region near the Kamb ice stream to compare ICESat and ICESat-2 beam tracks. The beam intersections are highlighted to explain how the data at these points are used to measure how land ice has changed over time. After exploring a few regions in detail, the camera moves out to a global view and an ocean temperature dataset is revealed. ", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411263, "type": "details_page", "extra_data": null, "instance": { "id": 4724, "url": "https://svs.gsfc.nasa.gov/4724/", "page_type": "Visualization", "title": "Vegetation index anomalies and Rift Valley fever (RVF) outbreaks in Africa and Middle East during 2000-2018", "description": "Data visualization featuring vegetation index anomalies over Africa and Middle East and locations of Rift Valley Fever (RVF) outbreaks (orange pins) during the period of 2000-2018. Frames are provided in 4K resolution. || Africa_NDVIRVF_2000_2018_3840x2160_2430_print.jpg (1024x576) [78.8 KB] || Africa_NDVIRVF_2000_2018_3840x2160_2430_searchweb.png (320x180) [48.8 KB] || Africa_NDVIRVF_2000_2018_3840x2160_2430_thm.png (80x40) [4.4 KB] || Africa_NDVIRVFComposite_2000_2018_3840x2160_1080p30.mp4 (1920x1080) [88.7 MB] || Africa_NDVIRVFComposite_2000_2018_3840x2160_1080p30.webm (1920x1080) [25.5 MB] || Africa_NDVIRVF_2000_2018_Composite (3840x2160) [0 Item(s)] || Africa_NDVIRVF_2000_2018_3840x2160_2430.tif (3840x2160) [6.0 MB] || Africa_NDVIRVFComposite_2000_2018_3840x2160_p30.mp4 (3840x2160) [283.2 MB] || ", "release_date": "2020-02-21T00:00:00-05:00", "update_date": "2025-02-02T00:12:08.568503-05:00", "main_image": { "id": 392091, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004700/a004724/Africa_NDVIRVF_2000_2018_3840x2160_2430_print.jpg", "filename": "Africa_NDVIRVF_2000_2018_3840x2160_2430_print.jpg", "media_type": "Image", "alt_text": "Data visualization featuring vegetation index anomalies over Africa and Middle East and locations of Rift Valley Fever (RVF) outbreaks (orange pins) during the period of 2000-2018. Frames are provided in 4K resolution.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411264, "type": "details_page", "extra_data": null, "instance": { "id": 4747, "url": "https://svs.gsfc.nasa.gov/4747/", "page_type": "Visualization", "title": "Vegetation index anomalies and Rift Valley fever (RVF) outbreaks in South Africa during 2009-2011", "description": "This visualization shows the relationship between vegetation index anomalies (Normalized Difference Vegetation Index - NDVI) data and outbreak locations of Rift Valley fever (RVf) during 2008 and 2011. The sequence starts in 2007 looking at the entire continent of Africa and zooms in the region of South Africa slowly to take a closer look at the above normal vegetation (green) and RVF outbreak locations (orange pins). Frames are provided in 4K resolution. || SAfrica_NDVIRVFwDates_3840x2160_1263_print.jpg (1024x576) [86.2 KB] || SAfrica_NDVIRVFwDates_3840x2160_1263_searchweb.png (320x180) [56.0 KB] || SAfrica_NDVIRVFwDates_3840x2160_1263_thm.png (80x40) [4.5 KB] || SAfrica_NDVIRVFComposite_1080p30.mp4 (1920x1080) [31.6 MB] || SAfrica_NDVIRVFComposite_1080p30.webm (1920x1080) [7.0 MB] || Composite (3840x2160) [0 Item(s)] || SAfrica_NDVIRVFwDates_3840x2160_1263.tif (3840x2160) [7.6 MB] || SAfrica_NDVIRVFComposite_3840x2160_p30.mp4 (3840x2160) [96.4 MB] || ", "release_date": "2020-02-21T00:00:00-05:00", "update_date": "2025-02-02T00:12:35.273066-05:00", "main_image": { "id": 392107, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004700/a004747/SAfrica_NDVIRVFwDates_3840x2160_1263_print.jpg", "filename": "SAfrica_NDVIRVFwDates_3840x2160_1263_print.jpg", "media_type": "Image", "alt_text": "This visualization shows the relationship between vegetation index anomalies (Normalized Difference Vegetation Index - NDVI) data and outbreak locations of Rift Valley fever (RVf) during 2008 and 2011. The sequence starts in 2007 looking at the entire continent of Africa and zooms in the region of South Africa slowly to take a closer look at the above normal vegetation (green) and RVF outbreak locations (orange pins). Frames are provided in 4K resolution.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411265, "type": "details_page", "extra_data": null, "instance": { "id": 4787, "url": "https://svs.gsfc.nasa.gov/4787/", "page_type": "Visualization", "title": "Global Temperature Anomalies from 1880 to 2019", "description": "This color-coded map in Robinson projection displays a progression of changing global surface temperature anomalies. Normal temperatures are the average over the 30 year baseline period 1951-1980. Higher than normal temperatures are shown in red and lower than normal temperatures are shown in blue. The final frame represents the 5 year global temperature anomalies from 2015-2019. Scale in degrees Celsius. || CelsiusRobinson_0889_print.jpg (1024x576) [111.8 KB] || CelsiusRobinson_0889_searchweb.png (320x180) [79.4 KB] || CelsiusRobinson_0889_thm.png (80x40) [7.1 KB] || CelsiusRobinson2019update_1080p30.mp4 (1920x1080) [19.0 MB] || RobinsonCelsiusSequenceComposite (1920x1080) [0 Item(s)] || CelsiusRobinson2019update_1080p30.webm (1920x1080) [3.7 MB] || Celsius_UHD_composite (3840x2160) [0 Item(s)] || GISSTEMP2019_Celsius_UHD_2160p30.mp4 (3840x2160) [69.3 MB] || CelsiusRobinson2019update_1080p30.mp4.hwshow [238 bytes] || ", "release_date": "2020-01-15T11:00:00-05:00", "update_date": "2025-02-02T00:13:15.870485-05:00", "main_image": { "id": 387991, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004700/a004787/CelsiusRobinson_0889_print.jpg", "filename": "CelsiusRobinson_0889_print.jpg", "media_type": "Image", "alt_text": "This color-coded map in Robinson projection displays a progression of changing global surface temperature anomalies. Normal temperatures are the average over the 30 year baseline period 1951-1980. Higher than normal temperatures are shown in red and lower than normal temperatures are shown in blue. The final frame represents the 5 year global temperature anomalies from 2015-2019. Scale in degrees Celsius.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411266, "type": "details_page", "extra_data": null, "instance": { "id": 4785, "url": "https://svs.gsfc.nasa.gov/4785/", "page_type": "Visualization", "title": "Sea Surface Temperature Anomalies and Patterns of Global Disease Outbreaks: 2009-2018 (4K version)", "description": "This webpage provides the 4K version of: Sea Surface Temperature anomalies and patterns of Global Disease Outbreaks: 2009-2018 (updated), released on January 6, 2020.Content has been created for 4K display systems that can handle finer resolution and details. It is recommended to use content from this version for HD (1920x1080) and lower resolutions. || ", "release_date": "2020-01-09T00:00:00-05:00", "update_date": "2025-02-02T00:13:15.129941-05:00", "main_image": { "id": 388258, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004700/a004785/CompositeWLabel_2009_2018_3840x2160_30fps_0852_print.jpg", "filename": "CompositeWLabel_2009_2018_3840x2160_30fps_0852_print.jpg", "media_type": "Image", "alt_text": "This visualization shows the variability in global sea surface temperature anomalies, the associated ENSO index timeline and locations of infectious disease outbreaks over the global land surface. Content is available in 4K resolution.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411267, "type": "details_page", "extra_data": null, "instance": { "id": 4781, "url": "https://svs.gsfc.nasa.gov/4781/", "page_type": "Visualization", "title": "Sea Surface Temperature anomalies and patterns of Global Disease Outbreaks: 2009-2018 (updated)", "description": "This visualization shows the variability in global sea surface temperature anomalies, the associated ENSO index timeline and locations of infectious disease outbreaks over the global land surface. || CompositeWLabel_2009_2018_1920x108060fps_1705_print.jpg (1024x576) [135.9 KB] || CompositeWLabel_2009_2018_1920x108060fps_1705_searchweb.png (320x180) [82.6 KB] || CompositeWLabel_2009_2018_1920x108060fps_1705_thm.png (80x40) [7.1 KB] || Composite_StrongElNino (1920x1080) [0 Item(s)] || Composite_StrongElNino (1920x1080) [0 Item(s)] || CompositeWLabel_2009_2018_1920x1080_p30.mp4 (1920x1080) [22.1 MB] || CompositeWLabel_2009_2018_1920x108060fps_1705.tif (1920x1080) [1.3 MB] || CompositeWLabel_2009_2018_1920x1080_p30.webm (1920x1080) [4.6 MB] || CompositeWLabel_2009_2018_1920x1080_p30.mp4.hwshow [205 bytes] || ", "release_date": "2020-01-06T00:00:00-05:00", "update_date": "2025-02-02T00:13:06.818408-05:00", "main_image": { "id": 388349, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004700/a004781/CompositeWLabel_2009_2018_1920x108060fps_1705_print.jpg", "filename": "CompositeWLabel_2009_2018_1920x108060fps_1705_print.jpg", "media_type": "Image", "alt_text": "This visualization shows the variability in global sea surface temperature anomalies, the associated ENSO index timeline and locations of infectious disease outbreaks over the global land surface. ", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411268, "type": "details_page", "extra_data": null, "instance": { "id": 4782, "url": "https://svs.gsfc.nasa.gov/4782/", "page_type": "Visualization", "title": "Vegetation Index Anomalies and Rift Valley fever (RVF) outbreaks in South Africa region: 2008-2011", "description": "This visualization with corresponding data dashboard shows the relationship between vegetation index anomalies and outbreaks of Rift Valley fever (RVF) during 2008 and 2011 in the South Africa region. The sequence starts in 2007 looking at the entire continent of Africa and zooms in the region of South Africa to take a closer look at the patterns between ENSO events (El Niño and La Niña), above normal vegetaion over land (green) and RVF outbreak locations (orange pins). || NDVI_RVF_SAfrica_Composite_3840x2160_2657_print.jpg (1024x576) [102.7 KB] || NDVI_RVF_SAfrica_Composite_3840x2160_2657_searchweb.png (320x180) [57.8 KB] || NDVI_RVF_SAfrica_Composite_3840x2160_2657_thm.png (80x40) [5.0 KB] || NDVI_RVF_SAfrica_Composite_1920x1080p30.mp4 (1920x1080) [35.6 MB] || NDVI_RVF_SAfrica_Composite_1920x1080p30.webm (1920x1080) [7.1 MB] || Composite (3840x2160) [0 Item(s)] || Composite (3840x2160) [0 Item(s)] || NDVI_RVF_SAfrica_Composite_3840x2160_p30.mp4 (3840x2160) [72.6 MB] || NDVI_RVF_SAfrica_Composite_3840x2160_2657.tif (3840x2160) [31.6 MB] || ", "release_date": "2020-03-04T00:00:00-05:00", "update_date": "2025-02-02T00:13:09.426850-05:00", "main_image": { "id": 386751, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004700/a004782/NDVI_RVF_SAfrica_Composite_3840x2160_2657_print.jpg", "filename": "NDVI_RVF_SAfrica_Composite_3840x2160_2657_print.jpg", "media_type": "Image", "alt_text": "This visualization with corresponding data dashboard shows the relationship between vegetation index anomalies and outbreaks of Rift Valley fever (RVF) during 2008 and 2011 in the South Africa region. The sequence starts in 2007 looking at the entire continent of Africa and zooms in the region of South Africa to take a closer look at the patterns between ENSO events (El Niño and La Niña), above normal vegetaion over land (green) and RVF outbreak locations (orange pins).", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411269, "type": "details_page", "extra_data": null, "instance": { "id": 4783, "url": "https://svs.gsfc.nasa.gov/4783/", "page_type": "Visualization", "title": "Precipitation Anomaly and Rift Valley fever (RVF) outbreaks in South Africa: 2008-2011", "description": "This visualization with corresponding data dashboard shows the relationship between precipitation anomalies and outbreaks of Rift Valley fever (RVF) during 2008 and 2011 in the South Africa region. The sequence starts in 2007 looking at the entire continent of Africa and zooms in the region of South Africa to take a closer look at the patterns between ENSO events (El Niño and La Niña), above normal precipitation over land (blue) and RVF outbreak locations (orange pins). || PrecipRVF_SAfrica_Composite_3840x2160_3422_print.jpg (1024x576) [97.8 KB] || PrecipRVF_SAfrica_Composite_3840x2160_3422_searchweb.png (320x180) [57.6 KB] || PrecipRVF_SAfrica_Composite_3840x2160_3422_thm.png (80x40) [5.2 KB] || PrecipRVF_SAfrica_Composite_1920x1080p30.mp4 (1920x1080) [31.5 MB] || Composite (3840x2160) [0 Item(s)] || Composite (3840x2160) [0 Item(s)] || PrecipRVF_SAfrica_Composite_3840x2160_p30.mp4 (3840x2160) [68.2 MB] || PrecipRVF_SAfrica_Composite_3840x2160_3422.tif (3840x2160) [4.0 MB] || PrecipRVF_SAfrica_Composite_3840x2160_p30.webm (3840x2160) [14.1 MB] || ", "release_date": "2020-02-27T00:00:00-05:00", "update_date": "2025-02-02T22:45:20.294104-05:00", "main_image": { "id": 386570, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004700/a004783/PrecipRVF_SAfrica_Composite_3840x2160_3422_print.jpg", "filename": "PrecipRVF_SAfrica_Composite_3840x2160_3422_print.jpg", "media_type": "Image", "alt_text": "This visualization with corresponding data dashboard shows the relationship between precipitation anomalies and outbreaks of Rift Valley fever (RVF) during 2008 and 2011 in the South Africa region. The sequence starts in 2007 looking at the entire continent of Africa and zooms in the region of South Africa to take a closer look at the patterns between ENSO events (El Niño and La Niña), above normal precipitation over land (blue) and RVF outbreak locations (orange pins). ", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411270, "type": "details_page", "extra_data": null, "instance": { "id": 4784, "url": "https://svs.gsfc.nasa.gov/4784/", "page_type": "Visualization", "title": "ENSO Teleconnections and Rift Valley fever (RVF) Outbreaks", "description": "During the 2008-2011 period, ENSO events brought changes to weather conditions across the globe that triggered infectious disease outbreaks, such as mosquito-borne Rift Valley fever (RVF) in South Africa. This visualization with corresponding data dashboard shows how Sea Surface Temperature (SST) anomalies in the equatorial Pacific Ocean (left) gave rise to Precipitation (center) and Vegetation (right) Index Anomalies in South Africa. During La Niña events, Southern Africa receives persistent and above normal rainfall, which floods habitats of RVF mosquito vectors triggering hatching of RVF virus infected eggs. The above-normal rainfall is followed by an increase in vegetation creating appropriate habitats for the mosquito vectors setting the stage for RVF outbreak activity, which in simple terms means an uptick in mosquito populations that cause infections of domestic livestock and human populations with the RVF virus. However, in rare cases there is a departure from this canonical response, as we can observe in 2009-2010, when a mild El Niño event resulted in above normal vegetaton and a large RVF outbreak in South Africa. || ENSO_TeleconnectionsRVF_2008_2011_3840x2160_2960_print.jpg (1024x576) [107.8 KB] || ENSO_TeleconnectionsRVF_2008_2011_3840x2160_3525_searchweb.png (320x180) [63.0 KB] || ENSO_TeleconnectionsRVF_2008_2011_3840x2160_3525_thm.png (80x40) [6.5 KB] || ENSO_Teleconnections (1920x1080) [0 Item(s)] || SST_Precip_NDVI_Dashboard_2008_2011_1920x1080_p30.mp4 (1920x1080) [22.7 MB] || ENSO_Teleconnections (3840x2160) [0 Item(s)] || ENSO_Teleconnections (3840x2160) [0 Item(s)] || ENSO_TeleconnectionsRVF_2008_2011_3840x2160_p30.mp4 (3840x2160) [56.0 MB] || ENSO_TeleconnectionsRVF_2008_2011_3840x2160_p30.webm (3840x2160) [10.2 MB] || ENSO_TeleconnectionsRVF_2008_2011_3840x2160_2960.tif (3840x2160) [3.4 MB] || ENSO_TeleconnectionsRVF_2008_2011_3840x2160_3525.tif (3840x2160) [3.4 MB] || ", "release_date": "2020-02-21T00:00:00-05:00", "update_date": "2025-02-02T00:13:13.644499-05:00", "main_image": { "id": 386811, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004700/a004784/ENSO_TeleconnectionsRVF_2008_2011_3840x2160_3525_searchweb.png", "filename": "ENSO_TeleconnectionsRVF_2008_2011_3840x2160_3525_searchweb.png", "media_type": "Image", "alt_text": "During the 2008-2011 period, ENSO events brought changes to weather conditions across the globe that triggered infectious disease outbreaks, such as mosquito-borne Rift Valley fever (RVF) in South Africa. This visualization with corresponding data dashboard shows how Sea Surface Temperature (SST) anomalies in the equatorial Pacific Ocean (left) gave rise to Precipitation (center) and Vegetation (right) Index Anomalies in South Africa. During La Niña events, Southern Africa receives persistent and above normal rainfall, which floods habitats of RVF mosquito vectors triggering hatching of RVF virus infected eggs. The above-normal rainfall is followed by an increase in vegetation creating appropriate habitats for the mosquito vectors setting the stage for RVF outbreak activity, which in simple terms means an uptick in mosquito populations that cause infections of domestic livestock and human populations with the RVF virus. However, in rare cases there is a departure from this canonical response, as we can observe in 2009-2010, when a mild El Niño event resulted in above normal vegetaton and a large RVF outbreak in South Africa.", "width": 320, "height": 180, "pixels": 57600 } } }, { "id": 411271, "type": "details_page", "extra_data": null, "instance": { "id": 4765, "url": "https://svs.gsfc.nasa.gov/4765/", "page_type": "Visualization", "title": "Sea Surface Temperature anomalies and patterns of Global Disease Outbreaks: 2009-2018", "description": "El Niño is an irregularly recurring climate pattern characterized by warmer than usual ocean temperatures in the equatorial Pacific, which creates a ripple effect of anticipated weather changes in far-spread regions. This visualization captures monthly Sea Surface Temperature (SST) anomalies around the world from 2009-2018, along with locations of global disease outbreaks and a corresponding timeline showcasing the Niño 3.4 Index. The Niño 3.4 Index represents average equatorial sea surface temperatures in the Pacific Ocean from about the International Date Line to the coast of South America. Highlighted in the timeline are the above average El Niño years, in which sea surface temperature anomalies peaked during 2015-2016. || SSTENSO_Diseases_Comp_2009_2018_1920x1080_0769_print.jpg (1024x576) [130.6 KB] || SSTENSO_Diseases_Comp_2009_2018_1920x1080_0769_searchweb.png (320x180) [79.7 KB] || SSTENSO_Diseases_Comp_2009_2018_1920x1080_0769_thm.png (80x40) [7.0 KB] || Composite (1920x1080) [0 Item(s)] || Composite (1920x1080) [0 Item(s)] || SSTENSO_Diseases_Comp_2009_2018_1920x1080_p30.mp4 (1920x1080) [23.0 MB] || SSTENSO_Diseases_Comp_2009_2018_1920x1080_0769.tif (1920x1080) [1.3 MB] || SSTENSO_Diseases_Comp_2009_2018_1920x1080_p30.webm (1920x1080) [4.7 MB] || SSTENSO_Diseases_Comp_2009_2018_1920x1080_p30.mp4.hwshow [211 bytes] || ", "release_date": "2019-12-10T00:00:00-05:00", "update_date": "2025-02-02T00:12:46.498564-05:00", "main_image": { "id": 388873, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004700/a004765/SSTENSO_Diseases_Comp_2009_2018_1920x1080_0769_print.jpg", "filename": "SSTENSO_Diseases_Comp_2009_2018_1920x1080_0769_print.jpg", "media_type": "Image", "alt_text": "El Niño is an irregularly recurring climate pattern characterized by warmer than usual ocean temperatures in the equatorial Pacific, which creates a ripple effect of anticipated weather changes in far-spread regions. This visualization captures monthly Sea Surface Temperature (SST) anomalies around the world from 2009-2018, along with locations of global disease outbreaks and a corresponding timeline showcasing the Niño 3.4 Index. The Niño 3.4 Index represents average equatorial sea surface temperatures in the Pacific Ocean from about the International Date Line to the coast of South America. Highlighted in the timeline are the above average El Niño years, in which sea surface temperature anomalies peaked during 2015-2016.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411272, "type": "details_page", "extra_data": null, "instance": { "id": 3912, "url": "https://svs.gsfc.nasa.gov/3912/", "page_type": "Visualization", "title": "Global Sea Surface Currents and Temperature", "description": "This visualization shows sea surface current flows. The flows are colored by corresponding sea surface temperature data. This visualization is rendered for display on very high resolution devices like hyperwalls or for print media.This visualization was produced using model output from the joint MIT/JPL project entitled Estimating the Circulation and Climate of the Ocean, Phase II (ECCO2). ECCO2 uses the MIT general circulation model (MITgcm) to synthesize satellite and in-situ data of the global ocean and sea-ice at resolutions that begin to resolve ocean eddies and other narrow current systems, which transport heat and carbon in the oceans. The ECCO2 model simulates ocean flows at all depths, but only surface flows are used in this visualization. || ", "release_date": "2012-03-16T10:00:00-04:00", "update_date": "2025-02-18T00:01:26.447913-05:00", "main_image": { "id": 479018, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a003900/a003912/flat_global_ecco2_2028x1024.25000.jpg", "filename": "flat_global_ecco2_2028x1024.25000.jpg", "media_type": "Image", "alt_text": "Global sea surface currents colored by temperature. These are the assembled (contiguous) versions of the animation. There are several resolutions to choose from, some are cropped for various purposes. The 6840x3420 version is the complete, full resolution visualization at the appropriate 2x1 aspect ratio and has not been cropped or resized. The time range for these visualizations is from 2007-03-25T12:00Z to 2008-03-03T12:00Z.", "width": 2048, "height": 1024, "pixels": 2097152 } } }, { "id": 411273, "type": "details_page", "extra_data": null, "instance": { "id": 4750, "url": "https://svs.gsfc.nasa.gov/4750/", "page_type": "Visualization", "title": "Weekly Arctic Sea Ice Age with Graph of Ice Age By Area: 1984 - 2019", "description": "This visualization shows the age of the Arctic sea ice between 1984 and 2019. Younger sea ice, or first-year ice, is shown in a dark shade of blue while the ice that is four years old or older is shown as white. A graph displayed in the upper left corner quantifies the area covered sea ice 4 or more years old in millions of square kilometers.This video is also available on our YouTube channel. || IceAge_2019_comp_withGraph.3714_print.jpg (1024x576) [124.7 KB] || IceAge_2019_comp_withGraph.3714_searchweb.png (320x180) [71.6 KB] || IceAge_2019_comp_withGraph.3714_thm.png (80x40) [6.3 KB] || IceAge_2019_comp_withGraph_1080p30.mp4 (1920x1080) [90.9 MB] || IceAge_2019_comp_withGraph_1080p30.webm (1920x1080) [14.9 MB] || iceAge_withGraph (3840x2160) [0 Item(s)] || captions_silent.27894.en_US.srt [43 bytes] || IceAge_2019_comp_withGraph_2160p30.mp4 (3840x2160) [255.2 MB] || IceAge_2019_comp_withGraph_1080p30.mp4.hwshow [200 bytes] || ", "release_date": "2019-09-30T12:00:00-04:00", "update_date": "2025-02-02T00:12:39.170019-05:00", "main_image": { "id": 393122, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004700/a004750/IceAge_2019_comp_withGraph.3640_print.jpg", "filename": "IceAge_2019_comp_withGraph.3640_print.jpg", "media_type": "Image", "alt_text": "Pair 3A: This image shows the Arctic sea ice age in the first week (week 1) of January, 2019. During this week, the area covered by the sea ice that was 4 years of age or older extended 116,000 square kilometers.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411274, "type": "details_page", "extra_data": null, "instance": { "id": 4734, "url": "https://svs.gsfc.nasa.gov/4734/", "page_type": "Visualization", "title": "Measuring Sea Ice Thickness with ICESat-2", "description": "This visualization depicts sea ice thickness in the Arctic Ocean as measured by ICESat-2 over the course of several months. The visualization begins with a global view of the north pole as individual tracks are drawn over time representing each time the satellite passes overhead and collects sea ice data. A closeup view of one track is revealed, showing how the ICESat-2 laser can measure ice freeboard (height above sea level), which can be used to calculate total ice thickness. The visualization concludes by showing monthly average of sea ice thickness from November 2018 to March 2019. || sea_ice_thickness_comp_0665_print.jpg (1024x576) [89.1 KB] || sea_ice_thickness_comp_0665_searchweb.png (320x180) [59.6 KB] || sea_ice_thickness_comp_0665_thm.png (80x40) [5.1 KB] || ICESat-2_sea_ice_thickness_1080p30.mp4 (1920x1080) [62.7 MB] || ICESat-2_sea_ice_thickness_1080p30.webm (1920x1080) [10.1 MB] || sea_ice_comp (3840x2160) [0 Item(s)] || ICESat-2_sea_ice_thickness_2160p30.mp4 (3840x2160) [173.8 MB] || ICESat-2_sea_ice_thickness_1080p30.mp4.hwshow || ", "release_date": "2019-09-06T00:00:00-04:00", "update_date": "2025-06-23T00:09:43.613029-04:00", "main_image": { "id": 396599, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004700/a004734/sea_ice_thickness_comp_0665_print.jpg", "filename": "sea_ice_thickness_comp_0665_print.jpg", "media_type": "Image", "alt_text": "This visualization depicts sea ice thickness in the Arctic Ocean as measured by ICESat-2 over the course of several months. The visualization begins with a global view of the north pole as individual tracks are drawn over time representing each time the satellite passes overhead and collects sea ice data. A closeup view of one track is revealed, showing how the ICESat-2 laser can measure ice freeboard (height above sea level), which can be used to calculate total ice thickness. The visualization concludes by showing monthly average of sea ice thickness from November 2018 to March 2019. ", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411275, "type": "details_page", "extra_data": null, "instance": { "id": 4328, "url": "https://svs.gsfc.nasa.gov/4328/", "page_type": "Visualization", "title": "Greenland's Glaciers as seen by RadarSat", "description": "An animation up the Greenland's Sermilik Fjord to the calving front of the Helheim Glacier, showing the glacier front's change between 2000 to 2013This video is also available on our YouTube channel. || Helheim_radarsat_4k.0800_print.jpg (1024x576) [242.6 KB] || Helheim_radarsat_4k.0800_searchweb.png (180x320) [121.8 KB] || Helheim_radarsat_4k.0800_web.png (320x180) [121.8 KB] || Helheim_radarsat_4k.0800_thm.png (80x40) [7.6 KB] || Helheim_radarsat_4k_1080p30.mp4 (1920x1080) [84.5 MB] || Helheim_radarsat_4k_720p30.mp4 (1280x720) [43.3 MB] || Helheim_radarsat_4k_2160p30.webm (3840x2160) [16.2 MB] || Helheim (3840x2160) [256.0 KB] || Helheim_radarsat_4k_2160p30.mp4 (3840x2160) [225.6 MB] || ", "release_date": "2015-08-25T00:00:00-04:00", "update_date": "2024-12-15T00:05:29.329494-05:00", "main_image": { "id": 441733, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004300/a004328/Helheim_radarsat_4k.0800_print.jpg", "filename": "Helheim_radarsat_4k.0800_print.jpg", "media_type": "Image", "alt_text": "An animation up the Greenland's Sermilik Fjord to the calving front of the Helheim Glacier, showing the glacier front's change between 2000 to 2013This video is also available on our YouTube channel.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411276, "type": "details_page", "extra_data": null, "instance": { "id": 4149, "url": "https://svs.gsfc.nasa.gov/4149/", "page_type": "Visualization", "title": "Hyperwall Show: CMIP5 - 21st Century Temperature and Precipitation Scenarios", "description": "These data visualizations from the NASA Center for Climate Simulation and NASA's Scientific Visualization Studio at Goddard Space Flight Center, Greenbelt, Md., show how climate models used in the new report from the United Nations' Intergovernmental Panel on Climate Change (IPCC) estimate possible temperature and precipitation pattern changes throughout the 21st century. The United Nations' Intergovernmental Panel on Climate Change publishes a report on the consensus view of climate change science about every five to seven years. The first findings of the IPCC's Fifth Assessment Report (AR5) were released on Sept. 27, 2013, in the form of the Summary for Policymakers report and a draft of IPCC Working Group 1's Physical Science Basis. The IPCC does not perform new science but instead authors a report that establishes the established understanding of the world's climate science community.The report not only includes observations of the real world but also the results of climate model projections of how the Earth will respond as a system to rising greenhouse gas concentrations in the atmosphere. The IPCC's AR5 relies on the Coupled Model Intercomparison Project Phase 5 (CMIP5) effort, an international effort among the climate modeling community to coordinate climate change experiments. These visualizations represent the mean output of how certain groups of CMIP5 models responded to four different scenarios defined by the IPCC called Representative Concentration Pathways (RCPs). These four RCPs – 2.6, 4.5, 6 and 8.5 – represent a wide range of potential worldwide greenhouse gas emissions and sequestration scenarios for the coming century. The pathways are numbered based on the expected Watts per square meter – essentially a measure of how much heat energy is being trapped by the climate system – each scenario would produce. The pathways are partly based on the ultimate concentrations of carbon dioxide and other greenhouse gases. The current carbon dioxide concentration in the atmosphere is around 400 parts per million, up from less than 300 parts per million at the end of the 19th century.The carbon dioxide concentrations in the year 2100 for each RCP are:RCP 2.6: 421 ppmRCP 4.5: 538 ppmRCP 6: 670 ppmRCP 8.5: 936 ppmEach visualization represents the mean output of a different number of models for each RCP, because data from all models in the CMIP5 project was not available in the same format for visualization for each RCP. All of the models compare a projection of temperatures and precipitation from 2006-2099 to a baseline historical average from 1971-2000. Thus, the values shown for each year represent the departure for that year compared to the observed average global surface temperature from 1971-2000. The IPCC report used 1986-2005 as a baseline period, making its reported anomalies slightly different from those shown in the visualizations. || ", "release_date": "2014-03-05T00:00:00-05:00", "update_date": "2025-02-01T00:04:40.456058-05:00", "main_image": { "id": 462243, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004100/a004149/flat_precip26.7182_print.jpg", "filename": "flat_precip26.7182_print.jpg", "media_type": "Image", "alt_text": "This visualization shows precipitation and represents the mean output of how certain groups of CMIP5 models responded RCP 2.6The pathways are numbered based on the expected Watts per square meter – essentially a measure of how much heat energy is being trapped by the climate system – each scenario would produce.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411277, "type": "details_page", "extra_data": null, "instance": { "id": 4626, "url": "https://svs.gsfc.nasa.gov/4626/", "page_type": "Visualization", "title": "Global Temperature Anomalies from 1880 to 2018", "description": "This color-coded map in Robinson projection displays a progression of changing global surface temperature anomalies from 1880 through 2018. Higher than normal temperatures are shown in red and lower then normal termperatures are shown in blue. The final frame represents the global temperatures 5-year averaged from 2014 through 2018. Scale in degree Celsius. || 2018HD_celsius_0900_print.jpg (1024x576) [126.0 KB] || 2018HD_celsius_0900_searchweb.png (320x180) [79.1 KB] || 2018HD_celsius_0900_thm.png (80x40) [7.4 KB] || 2018HD_celsius_1080p30.mp4 (1920x1080) [20.7 MB] || celsius_robinson (1920x1080) [0 Item(s)] || 2018HD_celsius_1080p30.webm (1920x1080) [4.2 MB] || celsius (5760x3240) [0 Item(s)] || celsius_composite (5760x3240) [0 Item(s)] || ", "release_date": "2019-02-06T11:00:00-05:00", "update_date": "2025-02-02T00:10:36.586278-05:00", "main_image": { "id": 407797, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004600/a004626/2018HD_celsius_0900_print.jpg", "filename": "2018HD_celsius_0900_print.jpg", "media_type": "Image", "alt_text": "This color-coded map in Robinson projection displays a progression of changing global surface temperature anomalies from 1880 through 2018. Higher than normal temperatures are shown in red and lower then normal termperatures are shown in blue. The final frame represents the global temperatures 5-year averaged from 2014 through 2018. Scale in degree Celsius.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411278, "type": "details_page", "extra_data": null, "instance": { "id": 4609, "url": "https://svs.gsfc.nasa.gov/4609/", "page_type": "Visualization", "title": "Global Temperature Anomalies from 1880 to 2017", "description": "This color-coded map in Robinson projection displays a progression of changing global surface temperature anomalies from 1880 through 2017. Higher than normal temperatures are shown in red and lower then normal termperatures are shown in blue. The final frame represents the global temperatures 5-year averaged from 2013 through 2017. Scale in degree Celsius.This video is also available on our YouTube channel. || gistemp2017_celsius_1072_print.jpg (1024x576) [114.7 KB] || gistemp2017_celsius_1072_searchweb.png (320x180) [74.8 KB] || gistemp2017_celsius_1072_thm.png (80x40) [7.2 KB] || gistemp2017_celsius_wDatesColorbar (1920x1080) [0 Item(s)] || gistemp2017_celsius_1080p30.mp4 (1920x1080) [36.8 MB] || gistemp2017_celsius_1080p30.webm (1920x1080) [4.1 MB] || gistemp2017_celsius_PrintStill.tif (1920x1080) [7.9 MB] || gistemp2017_celsius_wDatesColorbar_4k (3840x2160) [0 Item(s)] || gistemp2017_celsius_4k_2160p30.mp4 (3840x2160) [136.7 MB] || gistemp2017_celsius_1080p30.mp4.hwshow [193 bytes] || ", "release_date": "2018-01-18T10:30:00-05:00", "update_date": "2025-01-06T00:12:25.765535-05:00", "main_image": { "id": 407684, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004600/a004609/gistemp2017_celsius_1072_print.jpg", "filename": "gistemp2017_celsius_1072_print.jpg", "media_type": "Image", "alt_text": "This color-coded map in Robinson projection displays a progression of changing global surface temperature anomalies from 1880 through 2017. Higher than normal temperatures are shown in red and lower then normal termperatures are shown in blue. The final frame represents the global temperatures 5-year averaged from 2013 through 2017. Scale in degree Celsius.This video is also available on our YouTube channel.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411279, "type": "details_page", "extra_data": null, "instance": { "id": 4546, "url": "https://svs.gsfc.nasa.gov/4546/", "page_type": "Visualization", "title": "Five-Year Global Temperature Anomalies from 1880 to 2016", "description": "This color-coded map displays a progression of changing global surface temperatures anomalies from 1880 through 2016. The final frame represents global temperature anomalies averaged from 2012 through 2016 in degrees Celsius. || robinson2_1212_print.jpg (1024x576) [124.2 KB] || robinson2_1213_searchweb.png (180x320) [72.8 KB] || robinson2_1213_thm.png (80x40) [6.7 KB] || gistemp2016_5year_full_record_celsius_1080p.mp4 (1920x1080) [46.3 MB] || gistemp2016_5year_full_record_celsius_30fps_1080p.mp4 (1920x1080) [46.3 MB] || Celsius_composite (1920x1080) [64.0 KB] || Celsius_composite (1920x1080) [64.0 KB] || gistemp2016_5year_full_record_celsius_1080p.webm (1920x1080) [2.1 MB] || gistemp2016_5year_full_record_celsius_4546.key [48.7 MB] || gistemp2016_5year_full_record_celsius_4546.pptx [48.3 MB] || gistemp2016_5year_full_record_celsius_1080p.mp4.hwshow [258 bytes] || ", "release_date": "2017-01-18T10:29:00-05:00", "update_date": "2024-12-15T00:07:03.067874-05:00", "main_image": { "id": 417070, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004500/a004546/robinson2_1213_print.jpg", "filename": "robinson2_1213_print.jpg", "media_type": "Image", "alt_text": "This color-coded map displays a progression of changing global surface temperatures anomalies from 1880 through 2016. The final frame represents global temperature anomalies averaged from 2012 through 2016 in degrees Fahrenheit.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411280, "type": "details_page", "extra_data": null, "instance": { "id": 4419, "url": "https://svs.gsfc.nasa.gov/4419/", "page_type": "Visualization", "title": "Five-Year Global Temperature Anomalies from 1880 to 2015", "description": "This color-coded map in Robinson projection displays a progression of changing global surface temperature anomalies from 1880 through 2015. Higher than normal temperatures are shown in red and lower then normal termperatures are shown in blue. The final frame represents the global temperatures 5-year averaged from 2011 through 2015. Scale in degree Celsius.This video is also available on our YouTube channel. || 4419_GISTEMP_2015_Robinson_C_print.jpg (1024x576) [107.0 KB] || 4419_GISTEMP_2015_Robinson_C_print_searchweb.png (320x180) [78.5 KB] || 4419_GISTEMP_2015_Robinson_C_print_thm.png (80x40) [7.3 KB] || celsius_composite (1920x1080) [0 Item(s)] || 4419_GISTEMP_2015_Robinson_C_youtube_hq.mov (1920x1080) [79.5 MB] || 4419_GISTEMP_2015_Robinson_C.webm (960x540) [13.3 MB] || 4419_GISTEMP_2015_Robinson_C_appletv.m4v (1280x720) [16.3 MB] || 4419_GISTEMP_2015_Robinson_C.mpeg (1280x720) [122.2 MB] || 4419_GISTEMP_2015_Robinson_C_prores.mov (1280x720) [533.7 MB] || 4419_GISTEMP_2015_Robinson_C.key [20.0 MB] || 4419_GISTEMP_2015_Robinson_C.pptx [17.4 MB] || 4419_GISTEMP_2015_Robinson_C_ipod_sm.mp4 (320x240) [4.8 MB] || ", "release_date": "2016-01-20T00:00:00-05:00", "update_date": "2025-01-05T00:07:01.030234-05:00", "main_image": { "id": 435949, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004400/a004419/4419_GISTEMP_2015_Robinson_C_print.jpg", "filename": "4419_GISTEMP_2015_Robinson_C_print.jpg", "media_type": "Image", "alt_text": "This color-coded map in Robinson projection displays a progression of changing global surface temperature anomalies from 1880 through 2015. Higher than normal temperatures are shown in red and lower then normal termperatures are shown in blue. The final frame represents the global temperatures 5-year averaged from 2011 through 2015. Scale in degree Celsius.This video is also available on our YouTube channel.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411281, "type": "details_page", "extra_data": null, "instance": { "id": 4252, "url": "https://svs.gsfc.nasa.gov/4252/", "page_type": "Visualization", "title": "Five-Year Global Temperature Anomalies from 1880 to 2014", "description": "This color-coded map in Robinson projection displays a progression of changing global surface temperature anomalies from 1880 through 2014. Higher than normal temperatures are shown in red and lower then normal termperatures are shown in blue. The final frame represents the global temperatures 5-year averaged from 2010 through 2014. || GISTEMP_2014update.0905_print.jpg (1024x576) [122.2 KB] || GISTEMP_2014update.0905_searchweb.png (320x180) [74.5 KB] || GISTEMP_2014update.0905_thm.png (80x40) [6.7 KB] || composite (1920x1080) [0 Item(s)] || 2014_update_robinson_composite.mp4 (1920x1080) [36.8 MB] || 2014_update_robinson_composite.webm (1920x1080) [3.5 MB] || ", "release_date": "2015-01-16T00:30:00-05:00", "update_date": "2025-02-02T22:19:35.273677-05:00", "main_image": { "id": 447356, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004200/a004252/GISTEMP_2014update.0905_print.jpg", "filename": "GISTEMP_2014update.0905_print.jpg", "media_type": "Image", "alt_text": "This color-coded map in Robinson projection displays a progression of changing global surface temperature anomalies from 1880 through 2014. Higher than normal temperatures are shown in red and lower then normal termperatures are shown in blue. The final frame represents the global temperatures 5-year averaged from 2010 through 2014.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411282, "type": "details_page", "extra_data": null, "instance": { "id": 4746, "url": "https://svs.gsfc.nasa.gov/4746/", "page_type": "Visualization", "title": "June 2019 Monthly Global Temperature Anomalies", "description": "While many people in the continuous United States saw average temperatures in the month of June 2019, the average global temperature in June was 1.71 degrees F above the 20th-century average of 59.9 degrees. This makes June 2019 the hottest June in the 140-year record. Nine of the 10 hottest Junes have occurred since 2010. Last month also was the 43rd consecutive June and 414th consecutive month with above-average global temperatures. This visual of the GISTEMP anomalies for June of 2019 show the United States and then zooms out to show the global picture. Temperature anomalies indicate how much warmer (red) or colder(blue) it is than normal for a particular place and time. For the GISS analysis, normal always means the average over the 30-year period 1951-1980 for that place and time of year. For more information on the GISTEMP, see the GISTEMP analysis website located at: http://data.giss.nasa.gov/gistemp/ || ", "release_date": "2019-08-08T08:00:00-04:00", "update_date": "2024-12-29T22:42:01.359784-05:00", "main_image": { "id": 393909, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004700/a004746/USzoomout_0001_print.jpg", "filename": "USzoomout_0001_print.jpg", "media_type": "Image", "alt_text": "Monthly Global temperature Differences in the contiguous United States and Alaska.Alaska had its second warmest June since statewide records began in 1925.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411283, "type": "details_page", "extra_data": null, "instance": { "id": 4438, "url": "https://svs.gsfc.nasa.gov/4438/", "page_type": "Visualization", "title": "Global Temperature Anomalies from January 2016", "description": "This visualization shows the anomalously warm month of January 2016. Reds show areas that are warmer than normal and blue shows regions that are colder than normal. || Jan2016_GISTEMP_0298_print.jpg (1024x576) [64.8 KB] || Jan2016_GISTEMP_0298_searchweb.png (320x180) [44.7 KB] || Jan2016_GISTEMP_0298_thm.png (80x40) [4.6 KB] || composite (1920x1080) [0 Item(s)] || Jan2016_ArcticWarming.mp4 (1920x1080) [21.4 MB] || Jan2016_ArcticWarming.webm (1920x1080) [642.2 KB] || Jan2016_ArcticWarming.mp4.hwshow [187 bytes] || ", "release_date": "2016-03-25T00:00:00-04:00", "update_date": "2025-01-05T22:59:15.388783-05:00", "main_image": { "id": 426079, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004400/a004438/Jan2016_GISTEMP_0298_print.jpg", "filename": "Jan2016_GISTEMP_0298_print.jpg", "media_type": "Image", "alt_text": "This visualization shows the anomalously warm month of January 2016. Reds show areas that are warmer than normal and blue shows regions that are colder than normal.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411284, "type": "details_page", "extra_data": null, "instance": { "id": 12828, "url": "https://svs.gsfc.nasa.gov/12828/", "page_type": "Produced Video", "title": "2017 Global Temperature Visuals", "description": "Earth’s global surface temperatures in 2017 were the second warmest since modern recordkeeping began in 1880, continuing the planet’s long-term warming trend.Globally averaged temperatures in 2017 were 1.62 degrees Fahrenheit (0.90 degrees Celsius) warmer than the 1951 to 1980 mean. That is second only to global temperatures in 2016. Last year was the third consecutive year in which temperatures were more than 1.8 degrees Fahrenheit (1 degree Celsius) above late nineteenth-century levels.2017 was the warmest year that did not have an El Niño event.NASA’s temperature analyses incorporate surface temperature measurements from 6,300 weather stations, ship- and buoy-based observations of sea surface temperatures, and temperature measurements from Antarctic research stations.These raw measurements are analyzed using an algorithm that considers the varied spacing of temperature stations around the globe and urban heating effects that could skew the conclusions. These calculations produce the global average temperature deviations from the baseline period of 1951 to 1980.The full 2017 surface temperature data set and the complete methodology used to make the temperature calculation are available at: http://data.giss.nasa.gov/gistemp/ || ", "release_date": "2018-01-19T05:00:00-05:00", "update_date": "2023-05-03T13:47:02.395127-04:00", "main_image": { "id": 407648, "url": "https://svs.gsfc.nasa.gov/vis/a010000/a012800/a012828/2017_temperature_graph_animated_print_print.jpg", "filename": "2017_temperature_graph_animated_print_print.jpg", "media_type": "Image", "alt_text": "Animated graph of annual global temperatures, with respect to a baseline from the mid-twentieth century (the average of 1951-1980). In degrees Fahrenheit.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411285, "type": "details_page", "extra_data": null, "instance": { "id": 30615, "url": "https://svs.gsfc.nasa.gov/30615/", "page_type": "Hyperwall Visual", "title": "How Global Warming Stacks Up", "description": "Full series of graphs, all in one animation || full_series_4k_print.jpg (1024x574) [51.4 KB] || full_series_1080p.mp4 (1920x1080) [5.9 MB] || full_series_720p.mp4 (1280x720) [3.7 MB] || full_series_720p.webm (1280x720) [12.4 MB] || full_series_portugese_1080p.mp4 (1920x1080) [6.5 MB] || full_series_4k.mp4 (4104x2304) [14.1 MB] || full_series_360p.mp4 (640x360) [1.7 MB] || full_series (4104x2304) [0 Item(s)] || how_global_warming_stacks_up_30615.key [22.3 MB] || how_global_warming_stacks_up_30615.pptx [19.8 MB] || ", "release_date": "2015-07-21T00:00:00-04:00", "update_date": "2025-01-06T02:17:43.706841-05:00", "main_image": { "id": 432363, "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030600/a030615/0_observed_4k_print.jpg", "filename": "0_observed_4k_print.jpg", "media_type": "Image", "alt_text": "Observed Data", "width": 1024, "height": 574, "pixels": 587776 } } }, { "id": 411286, "type": "details_page", "extra_data": null, "instance": { "id": 4433, "url": "https://svs.gsfc.nasa.gov/4433/", "page_type": "Visualization", "title": "El Niño: GMAO Daily Sea Surface Temperature Anomaly from 1997/1998 and 2015/2016", "description": "This visualization shows how the Sea Surface Temperature Anomaly (SSTA) data and subsurface Temperature Anomaly from the 1997 El Nino year compares to the 2015 El Nino year. The visualization shows how the 1997 event started from colder-than-average sea surface temperatures – but the 2015 event started with warmer-than-average temperatures not only in the Pacific but also in in the Atlantic and Indian Oceans.This video is also available on our YouTube channel. || SSTcompare1997_2015_0000_print.jpg (1024x576) [87.4 KB] || SSTcompare1997_2015_0000_searchweb.png (320x180) [53.0 KB] || SSTcompare1997_2015_0000_thm.png (80x40) [5.6 KB] || Compare1997_2015_SSTA.mp4 (1920x1080) [28.7 MB] || compare (1920x1080) [0 Item(s)] || Compare1997_2015_SSTA.webm (1920x1080) [1.5 MB] || Compare1997_2015_SSTA.m4v (640x360) [2.5 MB] || Compare1997_2015_SSTA.mp4.hwshow [187 bytes] || ", "release_date": "2016-02-25T20:00:00-05:00", "update_date": "2025-01-05T22:59:09.831506-05:00", "main_image": { "id": 426736, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004400/a004433/SSTcompare1997_2015_0000_print.jpg", "filename": "SSTcompare1997_2015_0000_print.jpg", "media_type": "Image", "alt_text": "This visualization shows how the Sea Surface Temperature Anomaly (SSTA) data and subsurface Temperature Anomaly from the 1997 El Nino year compares to the 2015 El Nino year. The visualization shows how the 1997 event started from colder-than-average sea surface temperatures – but the 2015 event started with warmer-than-average temperatures not only in the Pacific but also in in the Atlantic and Indian Oceans.This video is also available on our YouTube channel.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411287, "type": "details_page", "extra_data": null, "instance": { "id": 4245, "url": "https://svs.gsfc.nasa.gov/4245/", "page_type": "Visualization", "title": "Link between Sea-Ice Fraction and Absorbed Solar Radiation over the Arctic Ocean", "description": "NASA satellite instruments have observed a marked increase in solar radiation absorbed in the Arctic since the year 2000 – a trend that aligns with the drastic decrease in Arctic sea ice during the same period. This visual shows the Arctic Sea Ice Change and the corresponding Absorbed Solar Radiation Change during June, July, and August from 2000 through 2014.This video is also available on our YouTube channel. || seaice_solarAbsorption_0344_print.jpg (1024x576) [117.1 KB] || SeaIceSolarAbsorptionChange.webm (1920x1080) [1.2 MB] || 1920x1080_16x9_60p (1920x1080) [0 Item(s)] || SeaIceSolarAbsorptionChange.mp4 (1920x1080) [12.1 MB] || composite (1920x1080) [0 Item(s)] || source (1920x1080) [0 Item(s)] || SeaIceSolarAbsorptionChange.m4v (640x360) [2.1 MB] || ", "release_date": "2014-12-17T13:00:00-05:00", "update_date": "2025-01-05T22:41:17.921246-05:00", "main_image": { "id": 448277, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004200/a004245/SeaIceSolarRadiationComparison_print.jpg", "filename": "SeaIceSolarRadiationComparison_print.jpg", "media_type": "Image", "alt_text": "Side by side comparison of Sea-Ice Fraction and TOA Absorbed Solar Radiation Change", "width": 1024, "height": 315, "pixels": 322560 } } }, { "id": 411288, "type": "details_page", "extra_data": null, "instance": { "id": 30500, "url": "https://svs.gsfc.nasa.gov/30500/", "page_type": "Hyperwall Visual", "title": "Altimetry: Past, Present and Future", "description": "Launched in 1978, Seasat was the first NASA Earth-orbiting satellite mission designed to observe the world’s ocean. Seasat carried five major instruments, including a radar altimeter that measured the distance between the satellite and sea surface, indicating global sea surface height and the topography of the ocean surface. This visualization shows the progression of improved data resolution from satellite altimeters in the past, present, and future, beginning with 1.5-degree resolution data in 1978 from Seasat and ending with 0.05-degree resolution data from NASA’s Surface Water and Ocean Topography (SWOT) mission, planned to launch in 2020. A single satellite (Geosat) provided 0.5-degree resolution data from 1986 to 1990, while numerous international satellite missions (ERS-1, TOPEX/Poseidon, ERS-2, Jason-1, Envisat, and Jason-2) have provided 0.25-degree resolution data from 1992 until now. These measurements and their continuity are important for monitoring large-scale features such as Rossby and Kelvin waves, the evolution of El Niño and La Niña events, and variation of global sea level in relation to climate change. SWOT (with 0.05-degree-resolution) will offer an unprecedented combination of spatial and temporal resolution while continuing and extending the ocean altimeter data record for years to come. || ", "release_date": "2014-05-13T00:00:00-04:00", "update_date": "2024-10-06T23:56:01.441352-04:00", "main_image": { "id": 430425, "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030500/a030500/altimetry_PODAAC_1978_2022_1700_print.jpg", "filename": "altimetry_PODAAC_1978_2022_1700_print.jpg", "media_type": "Image", "alt_text": "Visualization shows improved altimeter data resolution from 1978 to 2022.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411289, "type": "details_page", "extra_data": null, "instance": { "id": 4045, "url": "https://svs.gsfc.nasa.gov/4045/", "page_type": "Visualization", "title": "Aquarius Sea Surface Salinity Tour 2012", "description": "The Aquarius spacecraft is designed to measure global sea surface salinity. It is important to understand salinity, the amount of dissolved salts in water, because it will lead us to better understanding of the water cycle and can lead to improved climate models. Aquarius is a collaboration between NASA and the Space Agency of ArgentinaThis visualization celebrates over a year of successful Aquarius observations. Sea surface salinity is shown at various locations around the globe highlighting the following:the Atlantic Ocean is generally much more salty than the Pacificlow salinity waters in the Eastern Equatorial Pacific are transported westwardhigh influxes of fresh water from the Amazon River basin can be clearly seenlow salinity waters are transported by the Labrador current to the southhigh influxes of fresh water from the Ganges River basin can be seen keeping the Eastern Indian Ocean lower salinity than the Western Indian OceanThe range of time shown is December 2011 through Decemeber 2012. The data continuously loops through this range every 6 seconds. This visualization was generated based on version 2.0 of the Aquarius data products with all 3 scanning beams. || ", "release_date": "2013-02-27T12:00:00-05:00", "update_date": "2025-02-02T22:10:40.775151-05:00", "main_image": { "id": 467972, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004000/a004045/aquarius_final01.03800.jpg", "filename": "aquarius_final01.03800.jpg", "media_type": "Image", "alt_text": "A tour of Aquarius sea surface salinity data highlighting interesting features including: the North Atlantic, Eastern Pacific, Amazon outflow, Labrador current, and Indian Ocean.", "width": 1920, "height": 1080, "pixels": 2073600 } } }, { "id": 411290, "type": "details_page", "extra_data": null, "instance": { "id": 4234, "url": "https://svs.gsfc.nasa.gov/4234/", "page_type": "Visualization", "title": "Aquarius Sea Surface Salinity 2011-2014 - Rotating Globes", "description": "3 years of sea surface salinity data displayed on a spinning globe focused on the northern hemisphere with date and color bar || aquarius_sss_3yrs_SpinningGlobe_north0000_print.jpg (1024x576) [55.8 KB] || aquarius_sss_3yrs_SpinningGlobe_north1329_720.webmhd.webm (960x540) [6.4 MB] || aquarius_sss_3yrs_SpinningGlobe_north_1080p.mp4 (1920x1080) [23.4 MB] || aquarius_sss_3yrs_SpinningGlobe_north1329_720.mp4 (1280x720) [11.9 MB] || aquarius_sss_3yrs_SpinningGlobe_north (1920x1080) [0 Item(s)] || ", "release_date": "2014-11-06T00:00:00-05:00", "update_date": "2023-05-03T13:50:22.012744-04:00", "main_image": { "id": 449476, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004200/a004234/sss_print_globe_americas_print.jpg", "filename": "sss_print_globe_americas_print.jpg", "media_type": "Image", "alt_text": "Print resolution still of the oceans around the Americas", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411291, "type": "details_page", "extra_data": null, "instance": { "id": 4233, "url": "https://svs.gsfc.nasa.gov/4233/", "page_type": "Visualization", "title": "Aquarius Sea Surface Salinity 2011-2014 - Flat Maps", "description": "Rectangular flat map projection (Atlantic-centered) with grid lines showing Sea Surface Salinity measurements taken by Aquarius between September 2011 and September 2014. || aquarius_sss_3yrs_atlantic_rect_grid0000_print.jpg (1024x576) [136.5 KB] || aquarius_sss_3yrs_atlantic_rect_grid0000_searchweb.png (320x180) [88.6 KB] || aquarius_sss_3yrs_atlantic_rect_grid0000_thm.png (80x40) [7.8 KB] || aquarius_sss_3yrs_atlantic_rect_grid0000_web.png (320x180) [88.6 KB] || aquarius_sss_3yrs_atlantic_rect_grid_1080.mp4 (1920x1080) [24.6 MB] || aquarius_sss_3yrs_atlantic_rect_grid_1080.webmhd.webm (960x540) [8.5 MB] || aquarius_sss_3yrs_atlantic_rect_grid (1920x1080) [0 Item(s)] || ", "release_date": "2014-11-06T00:00:00-05:00", "update_date": "2025-02-02T22:16:01.146246-05:00", "main_image": { "id": 449511, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004200/a004233/aquarius_sss_3yrs_atlantic_rect_grid0000_print.jpg", "filename": "aquarius_sss_3yrs_atlantic_rect_grid0000_print.jpg", "media_type": "Image", "alt_text": "Rectangular flat map projection (Atlantic-centered) with grid lines showing Sea Surface Salinity measurements taken by Aquarius between September 2011 and September 2014. ", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411292, "type": "details_page", "extra_data": null, "instance": { "id": 30008, "url": "https://svs.gsfc.nasa.gov/30008/", "page_type": "Hyperwall Visual", "title": "Multi-scale Ultra-high Resolution Sea Surface Temperature (MUR)", "description": "These maps are made mostly from the satellite measurements of Sea Surface Temperature (SST), with help from surface observations that come from ships and bouys. Since the 1980's, there are a lot more SST data from satellites than surface observations. SST is invaluable for weather forecasting. But SST is also important for management of fishery, ocean acoustic communication, and the science including studies of climate and marine life. To \"blend\" the SST data from many different satellite is a tricky business. Satellite-based environmental data are usually irregularly sampled and always noisy. Every satellite has a unique sensor that measures SST. The infra-red (IR) type sensor can offer a very high resolution (down to 1 km in horizontal distance) but suffer from contamination by clouds and aerosols that block the signal. The micro-wave (MW) measurements are more reliable because of cloud-penetrating coverage but are coarser (25 km) in resolution and are not useful along the coasts due to contamination from land.So we are interested in making use of the best characteristics of each sensor data — be it resolution or coverage — and finding an optimal and objective ways to fill the data-voids under the clouds and near the coasts. || ", "release_date": "2013-03-14T00:00:00-04:00", "update_date": "2025-02-02T23:24:25.663322-05:00", "main_image": { "id": 427641, "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030000/a030008/large_cenlon180_rotate_multi_bm_frame00001_searchweb.png", "filename": "large_cenlon180_rotate_multi_bm_frame00001_searchweb.png", "media_type": "Image", "alt_text": "Multiscale Ultra Resolution Sea Surface Temperature on a rotating globe.", "width": 320, "height": 180, "pixels": 57600 } } }, { "id": 411293, "type": "details_page", "extra_data": null, "instance": { "id": 30556, "url": "https://svs.gsfc.nasa.gov/30556/", "page_type": "Hyperwall Visual", "title": "Atmospheric CO₂ Trends", "description": "Fossil fuel combustion and other human activities are now increasing the atmospheric carbon dioxide (CO2) abundance to unprecedented rates. It is estimated that approximately 36 billion tons of CO2 are added to the atmosphere each year. The large graph shown here is an animated version of the standard Keeling curve from 1980 to September 2014. The red line denotes ground-based measurements from the Mauna Loa Observatory in Hawaii, while yellow denotes observations from the South Pole Observatory. Purple denotes the global trend. The smaller graph in the upper left shows satellite measurements of tropospheric CO2 concentrations (white dots) at different latitudes from September 2002 to September 2014, obtained by the Atmospheric Infrared Sounder (AIRS) and Advanced Microwave Sounding Unit (AMSU) instruments. Note how the Northern Hemisphere has greater variably and generally higher levels of CO2 than the Southern Hemisphere. In May of 2013, these emissions pushed the monthly average CO2 concentrations above 400 parts per million (ppm)—a level that has not been reached during the past 800,000 years. These ever-increasing levels are raising concerns about greenhouse-gas-induced climate change. || ", "release_date": "2014-12-10T00:00:00-05:00", "update_date": "2025-01-06T02:14:28.196859-05:00", "main_image": { "id": 1093701, "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030500/a030556/pumphandle_hyper_2022_1080p.00001_print.jpg", "filename": "pumphandle_hyper_2022_1080p.00001_print.jpg", "media_type": "Image", "alt_text": "Full and complete visualization: the pump handle + Keeling data + Law dome and Siple ice core + Vostok and EPICA Dome C ice core", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411294, "type": "details_page", "extra_data": null, "instance": { "id": 4695, "url": "https://svs.gsfc.nasa.gov/4695/", "page_type": "Visualization", "title": "Niño 3.4 Index and Sea Surface Temperature Anomaly Timeline: 1982-2017", "description": "This visualization captures Sea Surface Temperature (SST) anomalies around the world from 1982 to 2017, along with a corresponding timeplot graph focusing on the Niño 3.4 SST Index region (5N-5S, 120W-170W), which represents average equatorial sea surface temperatures in the Pacific Ocean from about the International Date Line to the coast of South America. Highlighted in the timeline are the El Niño years, in which sea surface temperature anomalies peaked: 1982-1983, 1997-1998, and 2015-2016. || NINO3.4SST_FlatMapComposite_1920x1080_00932_print.jpg (1024x576) [104.9 KB] || NINO3.4SST_FlatMapComposite_1920x1080_00932_searchweb.png (320x180) [72.1 KB] || NINO3.4SST_FlatMapComposite_1920x1080_00932_thm.png (80x40) [6.8 KB] || SST_Nino3.4Index_1982_2017_Composite (1920x1080) [0 Item(s)] || NINO3.4SST_FlatMapComposite_1920x1080_p30.mp4 (1920x1080) [57.2 MB] || NINO3.4SST_FlatMapComposite_1920x1080_00932.tif (1920x1080) [1.4 MB] || NINO3.4SST_FlatMapComposite_1920x1080_p30.webm (1920x1080) [9.3 MB] || SSTNino3.4Index_1982_2017_Composite (3840x2160) [0 Item(s)] || ", "release_date": "2019-02-28T09:00:00-05:00", "update_date": "2025-02-02T22:39:44.671922-05:00", "main_image": { "id": 398258, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004600/a004695/NINO3.4SST_FlatMapComposite_1920x1080_00932_print.jpg", "filename": "NINO3.4SST_FlatMapComposite_1920x1080_00932_print.jpg", "media_type": "Image", "alt_text": "This visualization captures Sea Surface Temperature (SST) anomalies around the world from 1982 to 2017, along with a corresponding timeplot graph focusing on the Niño 3.4 SST Index region (5N-5S, 120W-170W), which represents average equatorial sea surface temperatures in the Pacific Ocean from about the International Date Line to the coast of South America. Highlighted in the timeline are the El Niño years, in which sea surface temperature anomalies peaked: 1982-1983, 1997-1998, and 2015-2016.", "width": 1024, "height": 576, "pixels": 589824 } } } ], "extra_data": {} }, { "id": 371396, "url": "https://svs.gsfc.nasa.gov/gallery/nasaearth-science/#media_group_371396", "widget": "Tile gallery", "title": "Water and Energy Cycle", "caption": "", "description": "The Water and Energy Cycle focus area (WEC) works to define, quantify, and model the different components of the water cycle that take place on land, including precipitation, snow, soil moisture, surface water and groundwater, and their interactions with other Earth systems. This research helps improve our understanding of how much water exists on Earth, how it’s changing over time, and what quality it’s in. It also helps us understand the energy that is transferred when water moves around the Earth and changes phase from liquid water to water vapor to snow. WEC uses observations from satellites and aircraft to help inform this research, and they partner with other Research and Analysis Program focus areas on crosscutting topics like ocean dynamics and cloud formation.", "items": [ { "id": 411295, "type": "details_page", "extra_data": null, "instance": { "id": 4913, "url": "https://svs.gsfc.nasa.gov/4913/", "page_type": "Visualization", "title": "ICESat-2 Maps Subglacial Lakes in Antarctica", "description": "Data visualization featuring precise map of Mercer and Conway subglacial lakes in West Antarctica. The visualization sequence starts with a view of the Americas and slowly zooms into the suture between the Mercer and Whillans ice streams. Surface-height anomaly data from NASA's ICESat-2 mission provide critical insight for the drain-fill cycles of subglacial lakes and aid in the discovery of two new water bodies within the same region. This data-driven visualization includes labels of ice formations close to the area of interest and repeats playback of the segment of the subglacial lakes surface-height anomalies. || SubglacialLakesCompositex2_4K60fps_0904_print.jpg (1024x576) [88.8 KB] || SubglacialLakesCompositex2_4K60fps_0904.png (3840x2160) [5.9 MB] || Compositex2 (1920x1080) [0 Item(s)] || SubglacialLakesCompositex2_HD60fps.mp4 (1920x1080) [58.4 MB] || SubglacialLakesCompositex2_1080p30.mp4 (1920x1080) [53.8 MB] || SubglacialLakesCompositex2_HD60fps.webm (1920x1080) [6.9 MB] || Compositex2_4K (3840x2160) [0 Item(s)] || SubglacialLakesCompositex2_4K60fps.mp4 (3840x2160) [58.5 MB] || SubglacialLakesCompositex2_4K30fps.mp4 (3840x2160) [182.4 MB] || SubglacialLakesCompositex2_1080p30.mp4.hwshow [200 bytes] || ", "release_date": "2021-07-29T19:00:00-04:00", "update_date": "2025-01-06T00:18:54.578391-05:00", "main_image": { "id": 378133, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004900/a004913/StudyAreaWithOutlines_1920x108060fps_282_print.jpg", "filename": "StudyAreaWithOutlines_1920x108060fps_282_print.jpg", "media_type": "Image", "alt_text": "Data visualization sequence of surface-height anomaly data from NASA's ICESat-2 mission for Conway and Mercer subglacial lakes. This sequence includes colorbar, timestamp, scale bar and lake outlines.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411296, "type": "details_page", "extra_data": null, "instance": { "id": 4823, "url": "https://svs.gsfc.nasa.gov/4823/", "page_type": "Visualization", "title": "Draining the Oceans", "description": "Data visualization of the draining of the Earth's oceans. The visualization simulates an incremental drop of 10 meters of the water’s level on Earth’s surface. As time progresses and the oceans drain, it becomes evident that underwater mountain ranges are bigger in size and trenches are deeper in comparison to those on dry land. While water drains quickly closer to continents, it drains slowly in our planet’s deepest trenches. || OceanDrain_3840x2160_60fps_0837_print.jpg (1024x576) [259.5 KB] || OceanDrain_3840x2160_60fps_0837_print_searchweb.png (320x180) [97.8 KB] || OceanDrain_3840x2160_60fps_0837_print_thm.png (80x40) [7.8 KB] || OceanDrain_1920x1080_30fps.mp4 (1920x1080) [44.2 MB] || OceanDrain_1920x1080_30fps.webm (1920x1080) [4.3 MB] || OceanDrain (3840x2160) [0 Item(s)] || OceanDrain (3840x2160) [0 Item(s)] || OceanDrain_3840x2160_60fps_0837.tif (3840x2160) [31.6 MB] || OceanDrain_3840x2160_30fps.mp4 (3840x2160) [154.1 MB] || OceanDrain_1920x1080_30fps.mp4.hwshow [192 bytes] || ", "release_date": "2020-09-11T00:00:00-04:00", "update_date": "2025-02-02T22:47:13.184827-05:00", "main_image": { "id": 383143, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004800/a004823/OceanDrain_3840x2160_60fps_0837_print.jpg", "filename": "OceanDrain_3840x2160_60fps_0837_print.jpg", "media_type": "Image", "alt_text": "Data visualization of the draining of the Earth's oceans. The visualization simulates an incremental drop of 10 meters of the water’s level on Earth’s surface. As time progresses and the oceans drain, it becomes evident that underwater mountain ranges are bigger in size and trenches are deeper in comparison to those on dry land. While water drains quickly closer to continents, it drains slowly in our planet’s deepest trenches.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411297, "type": "details_page", "extra_data": null, "instance": { "id": 4325, "url": "https://svs.gsfc.nasa.gov/4325/", "page_type": "Visualization", "title": "NASA GSFC MASCON Solution over Greenland from Jan 2004 - Jun 2014", "description": "Visualization of the mass change over Greenland from January 2004 through June 2014. The surface of Greenland shows the change in equivalent water height while the graph overlay shows the total accumulated change in gigatons. || GRACE_Greenland_wGraph_p30.1322_print.jpg (1024x576) [138.2 KB] || GRACE_Greenland_wGraph_p30.1322_searchweb.png (180x320) [84.6 KB] || GRACE_Greenland_wGraph_p30.1322_thm.png (80x40) [7.0 KB] || GRACE_Greenland_wGraph_p30_720p.webm (1280x720) [2.5 MB] || GRACE_Greenland_wGraph_p30_1080p.webm (1920x1080) [2.9 MB] || GRACE_Greenland_wGraph_p30_1080p.mp4 (1920x1080) [16.9 MB] || GRACE_Greenland_wGraph_p30_720p.mp4 (1280x720) [9.4 MB] || composite (1920x1080) [0 Item(s)] || composite (1920x1080) [0 Item(s)] || GRACE_Greenland_wGraph_p30_360p.mp4 (640x360) [3.4 MB] || MASCON_solution_greenland_4325.key [12.7 MB] || MASCON_solution_greenland_4325.pptx [10.1 MB] || ", "release_date": "2015-08-26T10:00:00-04:00", "update_date": "2025-01-05T22:46:37.322560-05:00", "main_image": { "id": 441938, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004300/a004325/GRACE_Greenland_wGraph_p30.1322_print.jpg", "filename": "GRACE_Greenland_wGraph_p30.1322_print.jpg", "media_type": "Image", "alt_text": "Visualization of the mass change over Greenland from January 2004 through June 2014. The surface of Greenland shows the change in equivalent water height while the graph overlay shows the total accumulated change in gigatons.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411298, "type": "details_page", "extra_data": null, "instance": { "id": 4042, "url": "https://svs.gsfc.nasa.gov/4042/", "page_type": "Visualization", "title": "Freshwater Losses In The Middle East", "description": "The visualization shows variations in total water storage from normal, in millimeters, in the Tigris and Euphrates river basins, as measured by NASA's Gravity Recovery and Climate Experiment (GRACE) satellites, from January 2003 through December 2009. Reds represent drier conditions, while blues represent wetter conditions. The effects of the seasons are evident, as is the major drought that hit the region in 2007. The majority of the water lost was due to reductions in groundwater caused by human activities. By periodically measuring gravity regionally, GRACE tells scientists how much water storage changes over time. || ", "release_date": "2013-02-12T11:00:00-05:00", "update_date": "2024-10-09T00:03:21.462355-04:00", "main_image": { "id": 468298, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004000/a004042/GRACE_groundwater.0300.jpg", "filename": "GRACE_groundwater.0300.jpg", "media_type": "Image", "alt_text": "GRACE Groundwater Depletion", "width": 1920, "height": 1080, "pixels": 2073600 } } }, { "id": 411299, "type": "details_page", "extra_data": null, "instance": { "id": 30862, "url": "https://svs.gsfc.nasa.gov/30862/", "page_type": "Hyperwall Visual", "title": "GRACE measures California water", "description": "Water storage from 2002-2017 as measured by gravity anomalies. || grace_ca_water_black_201701_print.jpg (1024x574) [119.7 KB] || grace_ca_water_black_201701_searchweb.png (320x180) [59.5 KB] || grace_ca_water_black_201701_thm.png (80x40) [4.9 KB] || grace_ca_water_black_1080p.mp4 (1920x1080) [7.3 MB] || grace_ca_water_black_720p.mp4 (1280x720) [3.6 MB] || grace_ca_water_black_720p.webm (1280x720) [5.9 MB] || grace_ca_water_black_201701.tif (4104x2304) [4.5 MB] || grace_ca_water_black_2304p.mp4 (4096x2304) [25.9 MB] || grace_ca_water_black_360p.mp4 (640x360) [1.1 MB] || ", "release_date": "2017-03-07T00:00:00-05:00", "update_date": "2025-02-03T00:47:22.253158-05:00", "main_image": { "id": 415873, "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030800/a030862/grace_ca_water_black_201701_print.jpg", "filename": "grace_ca_water_black_201701_print.jpg", "media_type": "Image", "alt_text": "Water storage from 2002-2017 as measured by gravity anomalies.", "width": 1024, "height": 574, "pixels": 587776 } } }, { "id": 411300, "type": "details_page", "extra_data": null, "instance": { "id": 30473, "url": "https://svs.gsfc.nasa.gov/30473/", "page_type": "Hyperwall Visual", "title": "Observing Freshwater Losses in the Middle East", "description": "A study using data from NASA’s Gravity Recovery and Climate Experiment (GRACE) satellites found that large parts of the arid Middle East region lost freshwater reserves rapidly during the past decade. Meanwhile, demand for freshwater continues to rise. The two natural-color images on the left were acquired by the Landsat 5 satellite and show the shrinking of the Qadisiyah Reservoir in Iraq between September 7, 2006 [top left] and September 15, 2009 [bottom left]. The graph below these two images shows the elevation of the water in that reservoir between January 2003 and December 2009. The elevation is a proxy measurement for the total volume of water stored there. The two regional images on the right were created with GRACE data and show total water storage in the Tigris and Euphrates river basins for September 2003 [top right] and September 2009 [bottom right]. The graph shows a decrease in water storage for the study area as measured by GRACE from January 2003 to December 2009. The gray line depicts total water storage—groundwater, surface water bodies, and soil moisture—while the green line depicts changes in surface water. The difference between those two lines reflects the change in water stored in underground aquifers. The total water storage shows a seasonal fluctuation, but also an overall downward trend, suggesting that groundwater is being pumped and used faster than natural processes can replenish it. Data from satellites such as GRACE are essential to providing a more complete global picture of water storage trends.Used in 2014 Calendar. || ", "release_date": "2013-11-01T12:00:00-04:00", "update_date": "2024-10-10T00:21:05.969779-04:00", "main_image": { "id": 430029, "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030400/a030473/obser_freshwater_loss_mid_east_cal_print.jpg", "filename": "obser_freshwater_loss_mid_east_cal_print.jpg", "media_type": "Image", "alt_text": "GRACE observations show freshwater losses in the Middle East in 2009.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411301, "type": "details_page", "extra_data": null, "instance": { "id": 30073, "url": "https://svs.gsfc.nasa.gov/30073/", "page_type": "Hyperwall Visual", "title": "Water Level in Lake Powell", "description": "Among the dams on the Colorado River is the Glen Canyon Dam, which creates Lake Powell. This series of natural-color Landsat images shows the dramatic drop in Lake Powell’s water level between 1999 and 2025 caused by prolonged drought and water withdrawals.", "release_date": "2017-09-01T12:00:00-04:00", "update_date": "2025-06-12T13:14:06.314411-04:00", "main_image": { "id": 428465, "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030000/a030073/lake_powell_1280x720_print.jpg", "filename": "lake_powell_1280x720_print.jpg", "media_type": "Image", "alt_text": "Landsat images show Lake Powell's water levels drop between 1999 and 2025.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411302, "type": "details_page", "extra_data": null, "instance": { "id": 4588, "url": "https://svs.gsfc.nasa.gov/4588/", "page_type": "Visualization", "title": "Improvements in Groundwater and Soil Moisture Measurements Derived from the GRACE Mission", "description": "From space, we track water in the ground – whether it is a centimeter, a meter, or a kilometer below the surface. Around the world, NASA's GRACE satellites have provided unprecedented views of water storage in natural aquifers. These underground reserves are so massive that they affect Earth's gravity field. When their mass changes, the satellites detect the change in gravity. Droughts can affect deep groundwater stores when water users pump hundreds of billions of gallons out of their aquifers to compensate for the lack of rainfall – and GRACE can detect this change.This view from space has revolutionized our understanding of water stores beneath the surface. But scientists at NASA Goddard can combine GRACE data with sophisticated computer models to give decision makers in the continental US an otherwise unseen view, helping to trigger critical water conservation measures.These computer models help us decompose the GRACE signal to identify changes in both the shallow groundwater and the root zone where crops are actually drawing moisture to survive. Stations on the ground provide a connect-the-dots picture. The vantage point from space – combined with modeling – provides a comprehensive view of how the drought evolved over time and ultimately ended.This constantly changing snapshot of shallow groundwater conditions is now used every week in the US Drought Monitor, the benchmark relied upon by decision makers at the local, state, and federal level.This visualization shows the global Terrestrial Water Storage Anomaly from GRACE data, and then highlights the contiguous United States to show groundwater anomaly. This more detailed view is made by assimilating GRACEwater storage data into a supercomputer model of the land surface. The visualization dives into California, showing further detail by separating out the surface soil moisture (top 2 centimeters) and the root zone soil mositure (top 100 centimeters). || ", "release_date": "2017-10-06T00:00:00-04:00", "update_date": "2025-01-05T23:22:55.330872-05:00", "main_image": { "id": 410503, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004500/a004588/master_test.0001_print.jpg", "filename": "master_test.0001_print.jpg", "media_type": "Image", "alt_text": "GRACE Groundwater Animation, No Dates or Colorbar", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411303, "type": "details_page", "extra_data": null, "instance": { "id": 30716, "url": "https://svs.gsfc.nasa.gov/30716/", "page_type": "Hyperwall Visual", "title": "GEOS-5 1.5km Carbon Simulation Over Southern Africa", "description": "geos5-carbon-africa-south_print.jpg (1024x574) [234.8 KB] || geos5-carbon-africa-south.png (4104x2304) [44.3 MB] || geos5-carbon-africa-south_searchweb.png (320x180) [119.4 KB] || geos5-carbon-africa-south_thm.png (80x40) [7.4 KB] || geos5_carbon_africa_south_1080p.mp4 (1920x1080) [50.1 MB] || geos5_carbon_africa_south_720p.mp4 (1280x720) [22.8 MB] || geos5_carbon_africa_south_720p.webm (1280x720) [1.6 MB] || geos5_carbon_africa_south_2304p.mp4 (4096x2304) [148.8 MB] || ", "release_date": "2015-11-09T01:20:00-05:00", "update_date": "2025-01-06T02:32:08.973049-05:00", "main_image": { "id": 433170, "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030700/a030716/geos5-carbon-africa-south_print.jpg", "filename": "geos5-carbon-africa-south_print.jpg", "media_type": "Image", "alt_text": "", "width": 1024, "height": 574, "pixels": 587776 } } }, { "id": 411304, "type": "details_page", "extra_data": null, "instance": { "id": 4627, "url": "https://svs.gsfc.nasa.gov/4627/", "page_type": "Visualization", "title": "GRACE 15-Year Groundwater Trends", "description": "Africa, No Colorbar || africa_groundwater_no_cbar.01500_print.jpg (1024x576) [108.2 KB] || africa_groundwater_no_cbar.01500_searchweb.png (320x180) [71.6 KB] || africa_groundwater_no_cbar.01500_web.png (320x180) [71.6 KB] || africa_no_cbar (1920x1080) [0 Item(s)] || africa_groundwater_no_cbar_1080p30.mp4 (1920x1080) [21.3 MB] || africa_groundwater_no_cbar_1080p30.webm (1920x1080) [5.6 MB] || ", "release_date": "2018-05-16T13:00:00-04:00", "update_date": "2025-01-06T00:12:36.666525-05:00", "main_image": { "id": 406520, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004600/a004627/china_groundwater_no_cbar.01500_print.jpg", "filename": "china_groundwater_no_cbar.01500_print.jpg", "media_type": "Image", "alt_text": "China, No Colorbar", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411305, "type": "details_page", "extra_data": null, "instance": { "id": 3623, "url": "https://svs.gsfc.nasa.gov/3623/", "page_type": "Visualization", "title": "Groundwater Depletion in India Revealed by GRACE", "description": "Scientists using data from NASA's Gravity Recovery and Climate Experiment (GRACE) have found that the groundwater beneath Northern India has been receding by as much as one foot per year over the past decade. After examining many environmental and climate factors, the team of hydrologists led by Matt Rodell of NASA's Goddard Space Flight Center, Greenbelt, Md. concluded that the loss is almost entirely due to human consumption.Groundwater comes from the natural percolation of precipitation and other surface waters down through Earth's soil and rock, accumulating in aquifers - cavities and layers of porous rock, gravel, sand, or clay. In some subterranean reservoirs, the water may be thousands to millions of years old; in others, water levels decline and rise again naturally each year. Groundwater levels do not respond to changes in weather as rapidly as lakes, streams, and rivers do. So when groundwater is pumped for irrigation or other uses, recharge to the original levels can take months or years. More than 109 cubic km (26 cubic miles) of groundwater disappeared from the region's aquifers between 2002 and 2008 — double the capacity of India's largest surface water reservoir, the Upper Wainganga, and triple that of Lake Mead, the largest manmade reservoir in the U.S. The animation shown here depicts the change in groundwater levels as measured each November between 2002 to 2008. || ", "release_date": "2009-08-12T00:00:00-04:00", "update_date": "2024-10-09T15:45:12.759437-04:00", "main_image": { "id": 496796, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a003600/a003623/grace_smooth_idl33.0350.jpg", "filename": "grace_smooth_idl33.0350.jpg", "media_type": "Image", "alt_text": "Groundwater depletion, without color bar", "width": 1280, "height": 720, "pixels": 921600 } } }, { "id": 411306, "type": "details_page", "extra_data": null, "instance": { "id": 4544, "url": "https://svs.gsfc.nasa.gov/4544/", "page_type": "Visualization", "title": "2015-2016 El Niño: Daily Sea Surface Temperature Anomaly and Ocean Currents", "description": "This visualization shows 2015-2016 El Nino through changes in sea surface temperature and ocean currents. Blue regions represent colder temperatures and red regions represent warmer temperatures when compared with normal conditions. Yellow arrows illustrate eastward currents and white arrows are westward currents. || GMAO_elNino_oceanTemperatureAnomaly_currents__1300_print.jpg (1024x576) [175.5 KB] || GMAO_elNino_oceanTemperatureAnomaly_currents__1300_searchweb.png (320x180) [97.1 KB] || GMAO_elNino_oceanTemperatureAnomaly_currents__1300_thm.png (80x40) [6.7 KB] || GMAO_elNino_oceanTemperatureAnomaly_currents_1080p.webm (1920x1080) [163.5 KB] || with_colorbar (3840x2160) [256.0 KB] || GMAO_elNino_oceanTemperatureAnomaly_currents_1080p.mp4 (1920x1080) [159.4 MB] || GMAO_oceanTemperatureAnomaly_withColorbar.mp4 (3840x2160) [166.0 MB] || ", "release_date": "2017-05-26T10:30:00-04:00", "update_date": "2024-10-06T22:39:35.752061-04:00", "main_image": { "id": 426723, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004500/a004544/GMAO_elNino_oceanTemperatureAnomaly_currents__1300_print.jpg", "filename": "GMAO_elNino_oceanTemperatureAnomaly_currents__1300_print.jpg", "media_type": "Image", "alt_text": "This visualization shows 2015-2016 El Nino through changes in sea surface temperature and ocean currents. Blue regions represent colder temperatures and red regions represent warmer temperatures when compared with normal conditions. Yellow arrows illustrate eastward currents and white arrows are westward currents.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411307, "type": "details_page", "extra_data": null, "instance": { "id": 4283, "url": "https://svs.gsfc.nasa.gov/4283/", "page_type": "Visualization", "title": "Painting the World with Water", "description": "An animation depicting the build-up of precipitation data on the globe from the Global Precipitation Measurement constellation of satellites, resulting in the IMERG global precipitation data set. || GPM_Fleet_IMERG_globe.00556_print.jpg (1024x576) [66.4 KB] || GPM_Fleet_IMERG_globe.00556_searchweb.png (180x320) [41.1 KB] || GPM_Fleet_IMERG_globe.00556_web.png (320x180) [41.1 KB] || GPM_Fleet_IMERG_globe.00556_thm.png (80x40) [3.7 KB] || GPM_Fleet_IMERG_globe.webm (1920x1080) [5.8 MB] || GPM_Fleet_IMERG_globe.mp4 (1920x1080) [55.2 MB] || globecomposite (1920x1080) [128.0 KB] || GPM_Fleet_IMERG_globe_4283.pptx [55.9 MB] || GPM_Fleet_IMERG_globe_4283.key [58.4 MB] || GPM_Fleet_IMERG_globe.mp4.hwshow [214 bytes] || ", "release_date": "2015-03-31T12:00:00-04:00", "update_date": "2024-10-09T00:05:17.530204-04:00", "main_image": { "id": 444552, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004200/a004283/GPM_Fleet_IMERG_globe.00556_print.jpg", "filename": "GPM_Fleet_IMERG_globe.00556_print.jpg", "media_type": "Image", "alt_text": "An animation depicting the build-up of precipitation data on the globe from the Global Precipitation Measurement constellation of satellites, resulting in the IMERG global precipitation data set.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411308, "type": "details_page", "extra_data": null, "instance": { "id": 30203, "url": "https://svs.gsfc.nasa.gov/30203/", "page_type": "Hyperwall Visual", "title": "Extreme Russian Fires and Pakistan Floods Linked Meteorologically", "description": "No description available.", "release_date": "2013-10-21T12:00:00-04:00", "update_date": "2024-07-15T00:14:57.509304-04:00", "main_image": { "id": 1, "url": "https://svs.gsfc.nasa.gov/images/no_preview_web_black.png", "filename": "no_preview_web_black.png", "media_type": "Image", "alt_text": "Current Airborne Fleet", "width": 320, "height": 180, "pixels": 57600 } } }, { "id": 411309, "type": "details_page", "extra_data": null, "instance": { "id": 30979, "url": "https://svs.gsfc.nasa.gov/30979/", "page_type": "Hyperwall Visual", "title": "ECOSTRESS Installation and First Data", "description": "The first light image from ECOSTRESS, showing the Nile river valley. || ecostress_first_light_PIA22590.png (1920x1080) [1.3 MB] || ecostress_first_light_PIA22590_print.jpg (1024x576) [99.0 KB] || ecostress_first_light_PIA22590_searchweb.png (320x180) [55.4 KB] || ecostress_first_light_PIA22590_thm.png (80x40) [4.5 KB] || ecostress_first_light_PIA22590.hwshow [228 bytes] || ", "release_date": "2018-07-31T00:00:00-04:00", "update_date": "2024-10-11T00:27:31.551166-04:00", "main_image": { "id": 401832, "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030900/a030979/ecostress_first_light_PIA22590.png", "filename": "ecostress_first_light_PIA22590.png", "media_type": "Image", "alt_text": "The first light image from ECOSTRESS, showing the Nile river valley.", "width": 1920, "height": 1080, "pixels": 2073600 } } }, { "id": 411310, "type": "details_page", "extra_data": null, "instance": { "id": 3472, "url": "https://svs.gsfc.nasa.gov/3472/", "page_type": "Visualization", "title": "Chesapeake Bay Flyover and Watershed Region", "description": "The watershed that drains into the Chesapeake Bay is a huge expanse that extends 64,000 miles into six states across North America (New York, Pensylvania, Maryland, Delaware, Virginia, and West Virginia) and the District of Columbia. This visualization overlays the full watershed onto a Landsat satellite visualization of the Bay area. The eight different distinctly colored regions indicate the Chesapeake's major subwatersheds. These subwatershed regions are: Susquehanna, Potomac, Patuxent, MD West Shore, Rapahhannock, Eastern Shore, James and York. This visualization is an extension of the Chesapeake Bay Flyover (#3446) in order to demonstrate the entire Chesapeake Bay Watershed region. The imagery utilized for this animation is a false-color Chesapeake Bay Landsat-7 Mosaic (#3473) composed of eight scenes acquired between 1999-2002, which were put together and color corrected to resemble natural looking colors.Data Notes:The mosaic was created by EarthSat under contract with NASA as part of the GeoCover 2000 product. All images used in GeoCover were acquired by Landsat-7 during the period of 1999-2002. The pixel size of the full resolution image represents 14.25 m on the ground. The Chesapeake Bay mosaic uses portions of eight Landsat-7 scenes. Below you will find a listing of the eight Landsat 7 images that were put together to create the composite image. Landsat scenes are organized by a Path and Row number according to the Worldwide Reference System. (To learn more about Landsat's Worldwide Reference System, please visit: http://landsat.gsfc.nasa.gov/about/wrs.html)Scenes used in the Chesapeake Bay mosaic: Landsat-7 WRS Path 15-Row 32 acquired on Oct. 05, 2001 Landsat-7 WRS Path 14-Row 32 acquired on Sept. 23, 1999 Landsat-7 WRS Path 15-Row 33 acquired on October 05, 2001 Landsat-7 WRS Path 14-Row 33 acquired on July 10, 2001Landsat-7 WRS Path 15-Row 34 acquired on Sept. 30, 1999 Landsat-7 WRS Path 14-Row 34 acquired on July 10, 2001 Landsat-7 WRS Path 15-Row 35 acquired on Sept. 30, 1999 Landsat-7 WRS Path 14-Row 35 acquired on Sept. 23, 1999 || ", "release_date": "2008-04-21T08:00:00-04:00", "update_date": "2024-10-10T00:00:34.305767-04:00", "main_image": { "id": 505658, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a003400/a003472/ChesapeakeBayWatershed.13475_web.png", "filename": "ChesapeakeBayWatershed.13475_web.png", "media_type": "Image", "alt_text": "Chesapeake Bay Flyover and Watershed Region animation, without city and river labels", "width": 320, "height": 180, "pixels": 57600 } } }, { "id": 411311, "type": "details_page", "extra_data": null, "instance": { "id": 3477, "url": "https://svs.gsfc.nasa.gov/3477/", "page_type": "Visualization", "title": "Chesapeake Bay Watershed Region (short version)", "description": "The watershed that drains into the Chesapeake Bay is a huge expanse that extends 64,000 miles into five states across North America (New York, Pensylvania, Maryland, Delaware, Virginia) and the District of Columbia. This visualization overlays the full watershed onto a Landsat satellite visualization of the Bay area. The eight different distinctly colored regions indicate the Chesapeake's major subwatersheds. These subwatershed regions are: Susquehanna, Potomac, Patuxent, MD West Shore, Rapahhannock, Eastern Shore, James and York. This visualization contains just the last part of the Chesapeake Bay Flyover and Watershed Region (#3472) animation and demonstrates the entire Watershed without the Chesapeake Bay flyover. This animation highlights and labels each subwatershed in turn. Data Notes:The mosaic was created by EarthSat under contract with NASA as part of the GeoCover 2000 product. All images used in GeoCover were acquired by Landsat-7 during the period of 1999-2002. The pixel size of the full resolution image represents 14.25 m on the ground. The Chesapeake Bay mosaic uses portions of eight Landsat-7 scenes. Below you will find a listing of the eight Landsat 7 images that were put together to create the composite image. Landsat scenes are organized by a Path and Row number according to the Worldwide Reference System. (To learn more about Landsat's Worldwide Reference System, please visit: http://landsat.gsfc.nasa.gov/about/wrs.html)Scenes used in the Chesapeake Bay mosaic: Landsat-7 WRS Path 15-Row 32 acquired on Oct. 05, 2001 Landsat-7 WRS Path 14-Row 32 acquired on Sept. 23, 1999 Landsat-7 WRS Path 15-Row 33 acquired on October 05, 2001 Landsat-7 WRS Path 14-Row 33 acquired on July 10, 2001Landsat-7 WRS Path 15-Row 34 acquired on Sept. 30, 1999 Landsat-7 WRS Path 14-Row 34 acquired on July 10, 2001 Landsat-7 WRS Path 15-Row 35 acquired on Sept. 30, 1999 Landsat-7 WRS Path 14-Row 35 acquired on Sept. 23, 1999 || ", "release_date": "2008-04-21T08:00:00-04:00", "update_date": "2023-05-03T13:55:26.123225-04:00", "main_image": { "id": 505743, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a003400/a003477/HDWaterLabCom15996.jpg", "filename": "HDWaterLabCom15996.jpg", "media_type": "Image", "alt_text": "Chesapeake Bay Watershed and sub watershed regions", "width": 1280, "height": 720, "pixels": 921600 } } }, { "id": 411312, "type": "details_page", "extra_data": null, "instance": { "id": 30017, "url": "https://svs.gsfc.nasa.gov/30017/", "page_type": "Hyperwall Visual", "title": "GEOS-5 Nature Run Collection", "description": "Through numerical experiments that simulate the dynamical and physical processes governing weather and climate variability of Earth's atmosphere, models create a dynamic portrait of our planet. This 10-kilometer global mesoscale simulation (Nature Run) using the NASA Goddard Earth Observing System Model (GEOS-5) explores the evolution of surface temperatures as the sun heats the Earth and fuels cloud formation in the tropics and along baroclinic zones; the presence of water vapor and precipitation within these global weather patterns; the dispersion of global aerosols from dust, biomass burning, fossil fuel emissions, and volcanoes; and the winds that transport these aerosols from the surface to upper-levels.The full GEOS-5 simulation covered 2 years—from May 2005 to May 2007. It ran on 3,750 processors of the Discover supercomputer at the NASA Center for Climate Simulation, consuming 3 million processor hours and producing over 400 terabytes of data. GEOS-5 development is funded by NASA's Modeling, Analysis, and Prediction Program. || ", "release_date": "2013-03-07T00:00:00-05:00", "update_date": "2025-02-02T00:23:53.579676-05:00", "main_image": { "id": 428701, "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030000/a030017/geos5_fires_tour_zoom_svs030017_print.jpg", "filename": "geos5_fires_tour_zoom_svs030017_print.jpg", "media_type": "Image", "alt_text": "A zoomed in version of aerosols and fires on a rotating globe.", "width": 1024, "height": 574, "pixels": 587776 } } }, { "id": 411313, "type": "details_page", "extra_data": null, "instance": { "id": 30580, "url": "https://svs.gsfc.nasa.gov/30580/", "page_type": "Hyperwall Visual", "title": "The Water Cycle", "description": "Diagram of the water cycle || water_cycle_print.jpg (1024x574) [110.8 KB] || water_cycle.png (4104x2304) [1.6 MB] || water_cycle_searchweb.png (320x180) [63.3 KB] || water_cycle_thm.png (80x40) [6.1 KB] || water_cycle_30580.pptx [1.6 MB] || water_cycle_30580.key [5.8 MB] || water_cycle.hwshow [71 bytes] || ", "release_date": "2015-01-21T15:00:00-05:00", "update_date": "2024-10-10T00:22:40.882939-04:00", "main_image": { "id": 431387, "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030500/a030580/water_cycle_print.jpg", "filename": "water_cycle_print.jpg", "media_type": "Image", "alt_text": "Diagram of the water cycle", "width": 1024, "height": 574, "pixels": 587776 } } }, { "id": 411314, "type": "details_page", "extra_data": null, "instance": { "id": 30469, "url": "https://svs.gsfc.nasa.gov/30469/", "page_type": "Hyperwall Visual", "title": "Landsat Data Help Water-Resource Managers", "description": "In the Western United States between 80 and 90% of freshwater is used for agriculture. In Southern California irrigated farmland stretches southward across the desert from the Salton Sea—an artificial inland sea—to the Mexico border. In the natural-color image [left] acquired on May 15, 2013, by Landsat 8’s Operational Land Imager, blocks of square farmland appear in shades of green and tan, while urban areas such as El Centro, California and Mexicali, Mexico appear in shades of gray. Accurate estimates of total crop area provided by Landsat satellites can be used to help forecast commodities in the United States and the world food market. On that same day, thermal measurements from Landsat 8’s Thermal Infrared Sensor [right] show different temperatures between crop fields as well as urban and desert areas. Cooler areas (e.g., irrigated crops) appear as dark purple and red shades, while warmer areas (e.g., urban and desert areas) appear as shades of bright yellow and white. Plants cool down when they transpire, so the combination of water evaporating from the plants and the ground (i.e., evapotranspiration) lowers the temperature of the irrigated land. Pixels representing cooler areas in thermal images from TIRS help water-resource managers determine where water is being used for irrigation, allowing them to make management decisions on water distribution to preserve this scarce resource. When an earlier design of Landsat 8 did not include a thermal infrared band, the Western States Water Council advocated for its inclusion.Used in 2014 Calendar. || ", "release_date": "2013-11-01T12:00:00-04:00", "update_date": "2024-10-10T00:21:05.600534-04:00", "main_image": { "id": 429996, "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030400/a030469/landsat8_water_resource_managers_cal_print.jpg", "filename": "landsat8_water_resource_managers_cal_print.jpg", "media_type": "Image", "alt_text": "Landsat 8 imagery of the Salton Sea on May 15, 2013.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411315, "type": "details_page", "extra_data": null, "instance": { "id": 30584, "url": "https://svs.gsfc.nasa.gov/30584/", "page_type": "Hyperwall Visual", "title": "AXIOM-1 Ocean chlorophyll, Sea Ice Thickness and Atmospheric Precipitable Water", "description": "This animation shows ocean surface chlorophyll concentration, sea ice thickness, and atmospheric precipitable water. || 0001_print.jpg (1024x576) [236.0 KB] || 0001_searchweb.png (320x180) [121.0 KB] || 0001_web.png (320x180) [121.0 KB] || 0001_thm.png (80x40) [8.0 KB] || chl-1920x1080.webm (1920x1080) [15.9 MB] || axiom_chl_720p.mp4 (1280x720) [161.2 MB] || axiom_chl_h265_720p.mp4 (1280x720) [105.5 MB] || chl-1920x1080.mp4 (1920x1080) [889.5 MB] || chl (5760x3240) [128.0 KB] || axiom_chl_h265_2304p.mp4 (4096x2304) [913.8 MB] || chlorophyll_ice_thickness_precip_water_30584.key [896.4 MB] || chlorophyll_ice_thickness_precip_water_30584.pptx [893.1 MB] || axiom_chl_2304p.mp4 (4096x2304) [1.4 GB] || ", "release_date": "2015-02-13T00:00:00-05:00", "update_date": "2024-12-15T23:40:35.468046-05:00", "main_image": { "id": 431544, "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030500/a030584/0001_print.jpg", "filename": "0001_print.jpg", "media_type": "Image", "alt_text": "This animation shows ocean surface chlorophyll concentration, sea ice thickness, and atmospheric precipitable water.", "width": 1024, "height": 576, "pixels": 589824 } } } ], "extra_data": {} }, { "id": 371397, "url": "https://svs.gsfc.nasa.gov/gallery/nasaearth-science/#media_group_371397", "widget": "Tile gallery", "title": "Carbon Cycle and Ecosystems", "caption": "", "description": "The Carbon Cycle and Ecosystems focus area (CCE) supports interdisciplinary research initiatives into Earth’s ecosystems and biogeochemical cycles, including how carbon, nitrogen and other nutrients are stored and cycled throughout the environment. CCE uses satellite remote sensing instruments, field campaigns, laboratory studies, and modeling to improve our understanding of how terrestrial and aquatic ecosystems around the world, such as forests, jungles, deserts, oceans, coasts, and polar environments, are changing over time. CCE also studies how changes in these ecosystems may affect how the planet stores nutrients like carbon and nitrogen in the future. Resolving these uncertainties will help us understand fluctuations in Earth’s climate and have major implications for biodiversity and sustainable resource management.", "items": [ { "id": 422535, "type": "details_page", "extra_data": null, "instance": { "id": 5234, "url": "https://svs.gsfc.nasa.gov/5234/", "page_type": "Visualization", "title": "AIRS Global Carbon Dioxide (CO₂) measurements (2002-October 2023)", "description": "Data visualization showing the global distribution and variation of the concentration of mid-tropospheric carbon dioxide observed by the Atmospheric Infrared Sounder (AIRS) on the NASA Aqua spacecraft over a 20 year timespan.", "release_date": "2024-03-12T00:00:00-04:00", "update_date": "2026-03-18T15:01:29.453186-04:00", "main_image": { "id": 1089953, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a005200/a005234/global_co2_airs_60South_720x480.00253.png", "filename": "global_co2_airs_60South_720x480.00253.png", "media_type": "Image", "alt_text": "Monthly frames (720x480 resolution) of global carbon dioxide (CO₂) for the period September 2002-November 2023, showcasing data products from NASA's Aqua mission. Each frame represents a montly timestep for the period September 2002-November 2023.The CO2_frames_dates_values.csv can be used to sync frame number, date and CO₂ values..", "width": 720, "height": 586, "pixels": 421920 } } }, { "id": 411316, "type": "details_page", "extra_data": null, "instance": { "id": 5116, "url": "https://svs.gsfc.nasa.gov/5116/", "page_type": "Visualization", "title": "Global Atmospheric Methane (CH₄)", "description": "Volumetric visualization of the total Methane (CH₄) on a global scale added on Earth's atmosphere over the course of the year 2021. || TotalCH4_Comp_1920x19020p30_00080.png (1920x1920) [2.5 MB] || TotalCH4_Comp_1920x19020p30_00080_print.jpg (1024x1024) [114.9 KB] || VolumetricCH4_Composite (1920x1920) [0 Item(s)] || VolumetricCH4_Composite_1920x19020p30.mp4 (1920x1920) [353.5 MB] || ", "release_date": "2023-06-20T16:00:00-04:00", "update_date": "2025-03-16T23:03:25.999759-04:00", "main_image": { "id": 856165, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a005100/a005116/TotalCH4_Volume_1920x1920.00080.png", "filename": "TotalCH4_Volume_1920x1920.00080.png", "media_type": "Image", "alt_text": "This visualization shows the total methane on a global scale added on Earth's atmosphere over the course of the year 2021.", "width": 1920, "height": 1920, "pixels": 3686400 } } }, { "id": 411317, "type": "details_page", "extra_data": null, "instance": { "id": 5115, "url": "https://svs.gsfc.nasa.gov/5115/", "page_type": "Visualization", "title": "Global Atmospheric Carbon Dioxide (CO₂)", "description": "Volumetric visualization of the total carbon dioxide (CO₂) on a global scale added on Earth's atmosphere over the course of the year 2021. || TotalCO2_Comp_1920x1920p30_00080.png (1920x1920) [3.2 MB] || TotalCO2_Comp_1920x1920p30_00080_print.jpg (1024x1024) [168.5 KB] || VolumetricCO2_Composite (1920x1920) [0 Item(s)] || VolumetricCO2_Composite_1920x1920p30.mp4 (1920x1920) [806.2 MB] || ", "release_date": "2023-06-20T15:00:00-04:00", "update_date": "2025-01-15T10:57:49-05:00", "main_image": { "id": 856146, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a005100/a005115/TotalCO2_Volume_1920x1920.00080.png", "filename": "TotalCO2_Volume_1920x1920.00080.png", "media_type": "Image", "alt_text": "Visualization of the total carbon dioxide (CO₂) on a global scale added on Earth's atmosphere over the course of the year 2021 (without the timeline).", "width": 1920, "height": 1920, "pixels": 3686400 } } }, { "id": 411318, "type": "details_page", "extra_data": null, "instance": { "id": 5081, "url": "https://svs.gsfc.nasa.gov/5081/", "page_type": "Visualization", "title": "National Carbon Dioxide (CO₂) budgets inferred from atmospheric observations", "description": "National yearly carbon dioxide (CO₂) budgets for over 100 countries around the world for the period 2015-2020. || NationalCO2Budgets_Light_1080x1920_30fps_358.png (1080x1920) [1.4 MB] || NationalCO2Budgets_Light_1080x1920.mp4 (1080x1920) [12.3 MB] || NationalCarbonDioxideBudget_Light (1080x1920) [0 Item(s)] || NationalCO2Budgets_Light_1080x1920.webm (1080x1920) [1.4 MB] || ", "release_date": "2023-03-07T00:00:00-05:00", "update_date": "2024-02-21T11:24:37-05:00", "main_image": { "id": 765152, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a005000/a005081/NetCarbonEmissions_Light_1920x1080_30fps_360.png", "filename": "NetCarbonEmissions_Light_1920x1080_30fps_360.png", "media_type": "Image", "alt_text": "This visualization shows yearly net surface emissions and removals by more than 100 countries from 2015 to 2020. . Countries with emissions, seen here in red, appear to pop from the page, compared to countries with removals, seen in green. ", "width": 1920, "height": 1080, "pixels": 2073600 } } }, { "id": 411319, "type": "details_page", "extra_data": null, "instance": { "id": 5075, "url": "https://svs.gsfc.nasa.gov/5075/", "page_type": "Visualization", "title": "Near Real-Time Global Biosphere", "description": "The latest 2.5 years of Biosphere data with date annotations. || nrtbio_print.jpg (1024x512) [205.4 KB] || nrtbio_searchweb.png (320x160) [88.7 KB] || nrtbio_thm.png (80x40) [7.2 KB] || Plate_Carree_with_Dates (4096x2048) [0 Item(s)] || nrtbio_annot_plate_2048p30.mp4 (4096x2048) [113.2 MB] || slide-01.hwshow ||", "release_date": "2023-02-13T00:00:00-05:00", "update_date": "2026-03-07T19:30:18.049402-05:00", "main_image": { "id": 855212, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a005000/a005075/nrtbio_print.jpg", "filename": "nrtbio_print.jpg", "media_type": "Image", "alt_text": "The latest 2.5 years of Biosphere data with date annotations.", "width": 1024, "height": 512, "pixels": 524288 } } }, { "id": 411320, "type": "details_page", "extra_data": null, "instance": { "id": 5024, "url": "https://svs.gsfc.nasa.gov/5024/", "page_type": "Visualization", "title": "20 years of AIRS Global Carbon Dioxide (CO₂) measurements (2002-October 2022)", "description": "Data visualization of global carbon dioxide (CO₂) for the period September 2002-October 2022, showcasing data products from NASA's Aqua mission. Data visualization assets are designed for HD resolution. || co2airs_60South_1920x108030p.0794_print.jpg (1024x576) [170.8 KB] || 60South_exr (1920x1080) [0 Item(s)] || co2airs_60South_1920x1080p30.mp4 (1920x1080) [25.0 MB] || co2airs_60South_1920x108030p.0794.exr (1920x1080) [5.5 MB] || co2airs_60South_1920x1080p30.webm (1920x1080) [3.0 MB] || co2airs_60South_1920x1080p30.mp4.hwshow [194 bytes] || ", "release_date": "2023-01-31T22:00:00-05:00", "update_date": "2025-03-02T00:13:15.720093-05:00", "main_image": { "id": 552521, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a005000/a005024/5024_airs_co2_preview.png", "filename": "5024_airs_co2_preview.png", "media_type": "Image", "alt_text": "Monthly frames (720x480 resolution) of global carbon dioxide (CO2) for the period September 2002-March 2022, showcasing data products from NASA's Aqua mission. 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Data visualization assets are designed for HD resolution. || co2airs_60South_1920x108030p.0779.png (1920x1080) [1.8 MB] || co2airs_60South_1920x108030p.0779_print.jpg (1024x576) [171.8 KB] || co2airs_60South_1920x108030p.mp4 (1920x1080) [31.8 MB] || 60South_exr (1920x1080) [0 Item(s)] || co2airs_60South_1920x108030p.webm (1920x1080) [3.0 MB] || co2airs_60South_1920x108030p.mp4.hwshow [194 bytes] || ", "release_date": "2022-09-14T17:30:00-04:00", "update_date": "2025-03-02T00:13:15.889859-05:00", "main_image": { "id": 369363, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a005000/a005025/5025_airs_co2_720x405.jpg", "filename": "5025_airs_co2_720x405.jpg", "media_type": "Image", "alt_text": "Monthly frames (720x480 resolution) of global carbon dioxide (CO₂) for the period September 2002-May 2022, showcasing data products from NASA's Aqua mission. Each frame represents a montly timestep for the period September 2002-May 2022.The CO2_frames_dates_values.csv can be used to sync frame number, date and CO₂ values.", "width": 720, "height": 405, "pixels": 291600 } } }, { "id": 411324, "type": "details_page", "extra_data": null, "instance": { "id": 5019, "url": "https://svs.gsfc.nasa.gov/5019/", "page_type": "Visualization", "title": "PACE orbit with swaths and instrument fields of view", "description": "PACE orbiting the Earth showing OCI, HARP2, and SPEXone instument fields of view followed by instrument ground swath patterns || pace_orbit_swath.42_FINAL_HD.09000_print.jpg (1024x576) [110.6 KB] || pace_orbit_swath.42_FINAL_HD.09000.png (1920x1080) [10.1 MB] || pace_orbit_swath.42_FINAL_HD.09000_searchweb.png (320x180) [72.6 KB] || pace_orbit_swath.42_FINAL_HD.09000_thm.png (80x40) [4.6 KB] || pace_orbit_swath.42_FINAL_HD_1080p59.94.mp4 (1920x1080) [70.0 MB] || 1920x1080_16x9_60p (1920x1080) [0 Item(s)] || pace_orbit_swath.42_FINAL_HD_1080p59.94.webm (1920x1080) [20.3 MB] || 3840x2160_16x9_60p (3840x2160) [0 Item(s)] || 9600x3240_16x9_30p (9600x3240) [0 Item(s)] || pace_orbit_swath.42_FINAL_4K_2160p59.94.mp4 (3840x2160) [269.9 MB] || ", "release_date": "2022-10-14T11:00:00-04:00", "update_date": "2025-01-13T00:15:04.152913-05:00", "main_image": { "id": 1088964, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a005000/a005019/pace_orbit_swath.42_FINAL_HD.09000.png", "filename": "pace_orbit_swath.42_FINAL_HD.09000.png", "media_type": "Image", "alt_text": "PACE orbiting the Earth showing OCI, HARP2, and SPEXone instument fields of view followed by instrument ground swath patterns", "width": 1920, "height": 1080, "pixels": 2073600 } } }, { "id": 411325, "type": "details_page", "extra_data": null, "instance": { "id": 5006, "url": "https://svs.gsfc.nasa.gov/5006/", "page_type": "Visualization", "title": "Global Biosphere March 2017 - Feb 2022", "description": "Example composite of 5 years of Mollweide projected data of Earth's biosphere beginning March 2017 through February 2022. || newbio_v34_mollweide_comp1130_print.jpg (1024x512) [186.1 KB] || newbio_v34_mollweide_comp1130_searchweb.png (180x320) [94.2 KB] || newbio_v34_mollweide_comp1130_thm.png (80x40) [7.4 KB] || Example_Composite (2000x1000) [0 Item(s)] || newbio_v34_mollweide_comp_1000p30.mp4 (2000x1000) [40.4 MB] || newbio_v34_mollweide_comp_1000p30.webm (2000x1000) [4.5 MB] || ", "release_date": "2022-11-06T00:00:00-04:00", "update_date": "2025-02-02T22:57:07.594597-05:00", "main_image": { "id": 368521, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a005000/a005006/newbio_v34_mollweide_comp1130_print.jpg", "filename": "newbio_v34_mollweide_comp1130_print.jpg", "media_type": "Image", "alt_text": "Example composite of 5 years of Mollweide projected data of Earth's biosphere beginning March 2017 through February 2022.", "width": 1024, "height": 512, "pixels": 524288 } } }, { "id": 411326, "type": "details_page", "extra_data": null, "instance": { "id": 4990, "url": "https://svs.gsfc.nasa.gov/4990/", "page_type": "Visualization", "title": "20 years of AIRS Global Carbon Dioxide (CO₂) measurements (2002- March 2022)", "description": "Data visualization of global carbon dioxide (CO2) for the period September 2002-March 2022, showcasing data products from NASA's Aqua mission. Data visualization assets are designed for HD resolution. || co2airs_60South_1920x108030p.0771.png (1920x1080) [1.8 MB] || co2airs_60South_1920x1080p30.mp4 (1920x1080) [24.2 MB] || composite_60South (1920x1080) [0 Item(s)] || co2airs_60South_1920x1080p30.webm (1920x1080) [2.9 MB] || co2airs_60South_1920x1080p30.mp4.hwshow [228 bytes] || ", "release_date": "2022-05-28T00:00:00-04:00", "update_date": "2025-03-02T00:12:59.951965-05:00", "main_image": { "id": 370913, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004900/a004990/global_co2_airs_1024x576.jpg", "filename": "global_co2_airs_1024x576.jpg", "media_type": "Image", "alt_text": "Monthly frames (720x480 resolution) of global carbon dioxide (CO2) for the period September 2002-March 2022, showcasing data products from NASA's Aqua mission. Each frame represents a montly timestep for the period September 2002-March 2022.The CO2_frames_dates_values.csv can be used to sync frame number, date and CO2 values.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411327, "type": "details_page", "extra_data": null, "instance": { "id": 4983, "url": "https://svs.gsfc.nasa.gov/4983/", "page_type": "Visualization", "title": "Global Carbon Dioxide 2020-2021 for Hyperwalls", "description": "This webpage provides a wide aspect ratio version of: Global Carbon Dioxide 2020-2021, released on November 2, 2021. This version has been created for wide aspect ratio display systems with resolution up to 9600x3240. It is recommended to use content from this version for display systems with 16:9 aspect ratio. || ", "release_date": "2022-04-11T12:00:00-04:00", "update_date": "2022-08-12T19:31:38-04:00", "main_image": { "id": 372178, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004900/a004983/CO2Volumetric_9600x3240_30fps.02582_print.jpg", "filename": "CO2Volumetric_9600x3240_30fps.02582_print.jpg", "media_type": "Image", "alt_text": "Data visualization in wide aspect ratio and 9600x3240 resolution, featuring volumetric carbon dioxide on a global scale for the period June 1, 2020 - July 31, 2021. This set of frames can be shown on 5x3 hyperwalls and wide aspect ratio displays. Lower resolution movies are provided for preview.", "width": 1024, "height": 345, "pixels": 353280 } } }, { "id": 411328, "type": "details_page", "extra_data": null, "instance": { "id": 4949, "url": "https://svs.gsfc.nasa.gov/4949/", "page_type": "Visualization", "title": "Global Carbon Dioxide 2020-2021", "description": "Data visualization featuring volumetric carbon dioxide on a global scale for the period June 1, 2020 - July 31, 2021.Coming soon to our YouTube channel. || CO2Volumetric_1024x576_02582_print.jpg (1024x576) [90.6 KB] || CO2Volumetric_1024x576_02582.png (1024x576) [569.1 KB] || CO2Volumetric_1024x576_02582_searchweb.png (180x320) [60.0 KB] || CO2Volumetric_1024x576_02582_thm.png (80x40) [5.1 KB] || CO2Volumetric_1920x1080p30.mp4 (1920x1080) [65.3 MB] || CO2Volumetric_1920x1080p30.webm (1920x1080) [13.3 MB] || 3840x2160_16x9_30p (3840x2160) [0 Item(s)] || CO2Volumetric_3840x2160_30fps_02582.exr (3840x2160) [63.3 MB] || CO2Volumetric_3840x2160_30fps_02582.tif (3840x2160) [44.5 MB] || captions_silent.31831.en_US.srt [43 bytes] || CO2Volumetric_3840x2160p30.mp4 (3840x2160) [931.2 MB] || ", "release_date": "2021-11-02T00:00:00-04:00", "update_date": "2023-09-19T13:03:33-04:00", "main_image": { "id": 375928, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004900/a004949/CO2Volumetric_1024x576_02582.png", "filename": "CO2Volumetric_1024x576_02582.png", "media_type": "Image", "alt_text": "Data visualization featuring volumetric carbon dioxide on a global scale for the period June 1, 2020 - July 31, 2021.Coming soon to our YouTube channel.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411329, "type": "details_page", "extra_data": null, "instance": { "id": 4873, "url": "https://svs.gsfc.nasa.gov/4873/", "page_type": "Visualization", "title": "Ocean Surface CO2 Flux with Surface Winds", "description": "Ocean surface winds and CO2 flux. Blue areas are where CO2 is absorbed by the ocean and red areas are where CO2 is outgassed from the oceanComing soon to our YouTube channel. || co2flux_final_001.1000_print.jpg (1024x576) [55.2 KB] || co2flux_final_001.1000_searchweb.png (180x320) [47.6 KB] || co2flux_final_001.1000_thm.png (80x40) [4.3 KB] || co2flux_final_with_cbar_1080p30.webm (1920x1080) [14.3 MB] || 3840x2160_16x9_30p (3840x2160) [256.0 KB] || captions_silent.30528.en_US.srt [43 bytes] || co2flux_final_with_cbar_1080p30.mp4 (1920x1080) [185.4 MB] || co2flux_final_no_cbar_1080p30.mp4 (1920x1080) [203.6 MB] || co2flux_final_with_cbar2160p30.mp4 (3840x2160) [791.2 MB] || co2flux_final_no_cbar_2160p30.mp4 (3840x2160) [852.2 MB] || co2flux_final_with_cbar_1080p30.mp4.hwshow [234 bytes] || ", "release_date": "2020-11-10T09:00:00-05:00", "update_date": "2024-10-10T00:12:34.470706-04:00", "main_image": { "id": 381487, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004800/a004873/co2flux_final_001.1000_print.jpg", "filename": "co2flux_final_001.1000_print.jpg", "media_type": "Image", "alt_text": "Ocean surface winds and CO2 flux. Blue areas are where CO2 is absorbed by the ocean and red areas are where CO2 is outgassed from the oceanComing soon to our YouTube channel.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411330, "type": "details_page", "extra_data": null, "instance": { "id": 4514, "url": "https://svs.gsfc.nasa.gov/4514/", "page_type": "Visualization", "title": "Carbon Dioxide from GMAO using Assimilated OCO-2 Data", "description": "Carbon Dioxide from the GEOS-5 modelThis video is also available on our YouTube channel. || co2_30.with_labels.2000_print.jpg (1024x576) [90.1 KB] || co2_30.with_labels.2000_searchweb.png (180x320) [64.0 KB] || co2_30.with_labels.2000_thm.png (80x40) [5.9 KB] || co2_30.with_labels_1080p30.mp4 (1920x1080) [75.6 MB] || co2_30.with_labels_1080p30.webm (1920x1080) [11.3 MB] || co2_30.with_labels_360p30.mp4 (640x360) [12.2 MB] || final_no_dates (3840x2160) [0 Item(s)] || final_with_labels (3840x2160) [0 Item(s)] || co2_30.with_labels.key [77.8 MB] || co2_30.with_labels.pptx [77.4 MB] || co2_30.with_labels_2160p30.mp4 (3840x2160) [306.7 MB] || co2_30.with_labels_1080p30.mp4.hwshow [192 bytes] || ", "release_date": "2016-12-13T14:00:00-05:00", "update_date": "2025-02-02T00:08:54.440493-05:00", "main_image": { "id": 418954, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004500/a004514/co2_30.with_labels.2000_print.jpg", "filename": "co2_30.with_labels.2000_print.jpg", "media_type": "Image", "alt_text": "Carbon Dioxide from the GEOS-5 modelThis video is also available on our YouTube channel.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411331, "type": "details_page", "extra_data": null, "instance": { "id": 3868, "url": "https://svs.gsfc.nasa.gov/3868/", "page_type": "Visualization", "title": "Global Fire Observations and MODIS NDVI", "description": "This visualization leads viewers on a narrated global tour of fire detections beginning in July 2002 and ending July 2011. The visualization also includes vegetation and snow cover data to show how fires respond to seasonal changes. The tour begins in Australia in 2002 by showing a network of massive grassland fires spreading across interior Australia as well as the greener Eucalyptus forests in the northern and eastern part of the continent. The tour then shifts to Asia where large numbers of agricultural fires are visible first in China in June 2004, then across a huge swath of Europe and western Russia in August, and then across India and Southeast Asia through the early part of 2005. It moves next to Africa, the continent that has more abundant burning than any other. MODIS observations have shown that some 70 percent of the world's fires occur in Africa alone. In what's a fairly average burning season, the visualization shows a huge outbreak of savanna fires during the dry season in Central Africa in July, August, and September of 2006, driven mainly by agricultural activities but also by the fact that the region experiences more lightning than anywhere else in the world. The tour shifts next to South America where a steady flickering of fire is visible across much of the Amazon rainforest with peaks of activity in September and November of 2009. Almost all of the fires in the Amazon are the direct result of human activity, including slash-and-burn agriculture, because the high moisture levels in the region prevent inhibit natural fires from occurring. It concludes in North America, a region where fires are comparatively rare. North American fires make up just 2 percent of the world's burned area each year. The fires that receive the most attention in the United States, the uncontrolled forest fires in the West, are less visible than the wave of agricultural fires prominent in the Southeast and along the Mississippi River Valley, but some of the large wildfires that struck Texas earlier this spring are visible. More information on the Fire Information for Resource Management System (FIRMS) is available at http://maps.geog.umd.edu/firms/. || ", "release_date": "2011-10-18T01:00:00-04:00", "update_date": "2025-02-02T00:01:39.789904-05:00", "main_image": { "id": 481530, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a003800/a003868/africaNDVIPrintRes.1996_web.png", "filename": "africaNDVIPrintRes.1996_web.png", "media_type": "Image", "alt_text": "A 10 year sequence of global fires as seen by NASA's MODIS instruments.", "width": 180, "height": 320, "pixels": 57600 } } }, { "id": 411332, "type": "details_page", "extra_data": null, "instance": { "id": 3870, "url": "https://svs.gsfc.nasa.gov/3870/", "page_type": "Visualization", "title": "African Fire Observations and MODIS NDVI", "description": "From space, we can understand fires in ways that are impossible from the ground. The MODIS instrument onboard the Terra and Aqua satellite, was specifically designed to detect fires. As a result, it can see both smaller fires and a wide range of fires from cool grass fires to raging forest fires. Burning carbon particles both on the tiny soot particles in the flame and on the fuel itself emit a very specific wavelength of light, 3.8 to 4 microns. NASA research has contributed to much improved detection of fire for scientific purposes using satellite remote sensing and geographic information systems. This has helped advance our understanding of the impacts of fire in many areas of earth science, including atmospheric chemistry and the impacts on protected areas. This research has led to the development of a rapid response system widely used throughout the world for both natural resource management and for firefighting by providing near real-time information. The visualization shows fires detected in Africa from July 2002 through July 2011. Africa has more abundant burning than any other continent. MODIS observations have shown that some 70 percent of the world's fires occur in Africa alone. \"It's incredibly satisfying to see such a long record of fires visualized,\" said Chris Justice, a scientist from the University of Maryland who leads NASA's effort to use MODIS data to study the world's fires. \"It's not only exciting visually, but what you see here is a very good representation of the data scientists use to understand the global distribution of fires and to determine where and how fires are responding to climate change and population growth.\"More information on the Fire Information for Resource Management (FIRMS) is available at http://maps.geog.umd.edu/firms/. || ", "release_date": "2011-10-18T23:00:00-04:00", "update_date": "2023-05-03T13:53:33.278272-04:00", "main_image": { "id": 481712, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a003800/a003870/africaNDVIPrintRes.3900.jpg", "filename": "africaNDVIPrintRes.3900.jpg", "media_type": "Image", "alt_text": "Eleven years of MODIS Fires in Africa over 16 day composite MODIS NDVI and 16 day composite MODIS snow and ice.", "width": 5760, "height": 3240, "pixels": 18662400 } } }, { "id": 411333, "type": "details_page", "extra_data": null, "instance": { "id": 3873, "url": "https://svs.gsfc.nasa.gov/3873/", "page_type": "Visualization", "title": "United States Fire Observations and MODIS NDVI", "description": "From space, we can understand fires in ways that are impossible from the ground. NASA has released a series of new visualizations that show fires detected by key fire-monitoring instruments on NASA satellites over the last decade. The visualizations show fire observations made by MODerate Resolution Imaging Spectroradiometer (MODIS) instruments on board the Terra and Aqua satellites. The visualization also includes vegetation and snow cover data to show how fires respond to seasonal changes. \"It's incredibly satisfying to see such a long record of fires visualized,\" said Chris Justice, a scientist from the University of Maryland who leads NASA's effort to use MODIS data to study the world's fires. \"It's not only exciting visually, but what you see here is a very good representation of the data scientists use to understand the global distribution of fires and to determine where and how fires are responding to climate change and population growth.\" North America is a region where fires are comparatively rare. North American fires make up just 2 percent of the world's burned area each year. The fires that receive the most attention in the United States, the uncontrolled forest fires in the West, are less visible than the wave of agricultural fires prominent in the Southeast and along the Mississippi River Valley, but some of the large wildfires that struck Texas earlier this spring are visible.More information on the Fire Information for Resource Management (FIRMS) is available at http://maps.geog.umd.edu/firms/. || ", "release_date": "2011-10-18T19:00:00-04:00", "update_date": "2023-05-03T13:53:34.353409-04:00", "main_image": { "id": 482077, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a003800/a003873/usaNDVIsnow.4054.jpg", "filename": "usaNDVIsnow.4054.jpg", "media_type": "Image", "alt_text": "This animation shows fires over NDVI over the United States from July 2002 through July 2011.", "width": 1920, "height": 1080, "pixels": 2073600 } } }, { "id": 411334, "type": "details_page", "extra_data": null, "instance": { "id": 3869, "url": "https://svs.gsfc.nasa.gov/3869/", "page_type": "Visualization", "title": "Boreal Forest Fire Observations and MODIS NDVI", "description": "NASA has released a series of new visualizations that show the locations of the millions of fires detected by key fire-monitoring instruments on NASA satellites over the last decade. This visualization shows fire observations made by the MODerate Resolution Imaging Spectroradiometer (MODIS) instruments on board the Terra and Aqua satellites in Europe and Asia from July 2002 through July 2011. \"It's incredibly satisfying to see such a long record of fires visualized,\" said Chris Justice, a scientist from the University of Maryland who leads NASA's effort to use MODIS data to study the world's fires. \"It's not only exciting visually, but what you see here is a very good representation of the data scientists use to understand the global distribution of fires and to determine where and how fires are responding to climate change and population growth.\"More information on the Fire Information for Resource Management System (FIRMS) is available at https://earthdata.nasa.gov/earth-observation-data/near-real-time/firms. || ", "release_date": "2011-10-18T19:00:00-04:00", "update_date": "2024-06-23T22:03:42.483474-04:00", "main_image": { "id": 481590, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a003800/a003869/BorealForestFIres_with_snowNDVI.1847.jpg", "filename": "BorealForestFIres_with_snowNDVI.1847.jpg", "media_type": "Image", "alt_text": "This animation shows fires over NDVI in the Boreal region in Eurasia from July 2002 through July 2011. This still image is from August 15, 2006.This video is also available on our YouTube channel.", "width": 1920, "height": 1080, "pixels": 2073600 } } }, { "id": 411335, "type": "details_page", "extra_data": null, "instance": { "id": 3872, "url": "https://svs.gsfc.nasa.gov/3872/", "page_type": "Visualization", "title": "South American Fire Observations and MODIS NDVI", "description": "From space, we can understand fires in ways that are impossible from the ground. NASA research has contributed to much improved detection of fire for scientific purposes using satellite remote sensing and geographic information systems. This visualization of South America shows fire observations made by MODerate Resolution Imaging Spectroradiometer (MODIS) instruments on board the Terra and Aqua satellites . South America exhibits a steady flickering of fire across much of the Amazon rainforest with peaks of activity in September and November. Almost all of the fires in the Amazon are the direct result of human activity, including slash-and-burn agriculture, because the high moisture levels in the region prevent inhibit natural fires from occurring.More information on the Fire Information for Resource Management (FIRMS) is available at http://maps.geog.umd.edu/firms/. || ", "release_date": "2011-10-18T19:00:00-04:00", "update_date": "2024-10-09T00:01:20.220614-04:00", "main_image": { "id": 481955, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a003800/a003872/southamericaNDVIsnow.2333.jpg", "filename": "southamericaNDVIsnow.2333.jpg", "media_type": "Image", "alt_text": "This animation shows fires over MODIS NDVI in South America from July 2002 through July 2011. The still image seen here is from July 15, 2007 where fires scorched more than 3 million acres. Naturally ocurring fires are not uncommon in the drier forests and grasslands of South America, but this type of intense, continent-spanning fire activity is almost certainly a product of human activities.", "width": 1920, "height": 1080, "pixels": 2073600 } } }, { "id": 411336, "type": "details_page", "extra_data": null, "instance": { "id": 3871, "url": "https://svs.gsfc.nasa.gov/3871/", "page_type": "Visualization", "title": "Australia Fire Observations and MODIS NDVI", "description": "From space, we can understand fires in ways that are impossible from the ground. The MODIS instrument onboard the Terra and Aqua satellite, was specifically designed to detect fires. This visualization shows fire detections from July 2002 through July 2011. The visualization also includes vegetation and snow cover data to show how fires respond to seasonal changes. The tour begins in Australia in 2002 by showing a network of massive grassland fires spreading across interior Australia as well as the greener Eucalyptus forests in the northern and eastern part of the continent.More information on the Fire Information for Resource Management (FIRMS) is available at http://maps.geog.umd.edu/firms/. || ", "release_date": "2011-10-18T19:00:00-04:00", "update_date": "2023-05-03T13:53:33.821882-04:00", "main_image": { "id": 481833, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a003800/a003871/aussieNDVIsnow.0241.jpg", "filename": "aussieNDVIsnow.0241.jpg", "media_type": "Image", "alt_text": "This animation shows a sequence of fires over MODIS NDVI data in Australia from July 2002 through July 2011. This still image is from January 15, 2003.", "width": 1920, "height": 1080, "pixels": 2073600 } } }, { "id": 411337, "type": "details_page", "extra_data": null, "instance": { "id": 4700, "url": "https://svs.gsfc.nasa.gov/4700/", "page_type": "Visualization", "title": "PACE - Studying Plankton, Aerosols, Clouds, and the Ocean Ecosystem", "description": "The visualization starts close on the PACE spacecraft. A representative data swath is shown, depicting biosphere plankton data. The camera then pulls out to show the spacecraft's polar orbit. Complete global coverage is achieved after approximately two days of orbits. Over time, the data swath cycles between biosphere, aerosol, and cloud data, representing PACE's collective mission to study Earth's ocean and atmosphere. This version end with animated biosphere data. || pace_v2_4k_0245_print.jpg (1024x576) [36.4 KB] || pace_v2_4k_0245_searchweb.png (320x180) [39.7 KB] || pace_v2_4k_0245_thm.png (80x40) [3.7 KB] || pace_v3_1080p30.mp4 (1920x1080) [30.0 MB] || pace_comp3_animated-biosphere (3840x2160) [0 Item(s)] || pace_v3_2160p30.mp4 (3840x2160) [94.4 MB] || pace_v3_2160p30.webm (3840x2160) [19.1 MB] || 600-science-overview-003.hwshow || ", "release_date": "2018-12-05T09:00:00-05:00", "update_date": "2025-01-13T00:11:19.966081-05:00", "main_image": { "id": 399098, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004700/a004700/pace_v2_4k_0245_print.jpg", "filename": "pace_v2_4k_0245_print.jpg", "media_type": "Image", "alt_text": "The visualization starts close on the PACE spacecraft. A representative data swath is shown, depicting biosphere plankton data. The camera then pulls out to show the spacecraft's polar orbit. Complete global coverage is achieved after approximately two days of orbits. Over time, the data swath cycles between biosphere, aerosol, and cloud data, representing PACE's collective mission to study Earth's ocean and atmosphere. This version end with animated biosphere data. ", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411338, "type": "details_page", "extra_data": null, "instance": { "id": 3947, "url": "https://svs.gsfc.nasa.gov/3947/", "page_type": "Visualization", "title": "Watching the Earth Breathe:
An Animation of Seasonal Vegetation and its effect on Earth's Global Atmospheric Carbon Dioxide", "description": "In this animation, NASA instruments show the seasonal cycle of vegetation and the concentration of carbon dioxide in the atmosphere. The animation begins on January 1, when the northern hemisphere is in winter and the southern hemisphere is in summer. At this time of year, the bulk of living vegetation, shown in green, hovers around the equator and below it, in the southern hemisphere.As the animation plays forward through mid-April, the concentration of carbon dioxide, shown in orange-yellow, in the middle part of Earth's lowest atmospheric layer, the troposphere, increases and spreads throughout the northern hemisphere, reaching a maximum around May. This blooming effect of carbon dioxide follows the seasonal changes that occur in northern latitude ecosystems, in which deciduous trees lose their leaves, resulting in a net release of carbon dioxide through a process called respiration. Carbon dioxide is also released in early spring as soils begin to warm. Almost 10 percent of atmospheric carbon dioxide passes through soils each year.After April, the northern hemisphere moves into late spring and summer and plants begin to grow, reaching a peak in the late summer. The process of plant photosynthesis removes carbon dioxide from the air. The animation shows how carbon dioxide is scrubbed out of the atmosphere by the large volume of new and growing vegetation. Following the peak in vegetation, the drawdown of atmospheric carbon dioxide due to photosynthesis becomes apparent, particularly over the boreal forests.Note that there is roughly a three-month lag between the state of vegetation at Earth's surface and its effect on carbon dioxide in the middle troposphere.Data like these give scientists a new opportunity to better understand the relationships between carbon dioxide in Earth's middle troposphere and the seasonal cycle of vegetation near the surface.Creating the AnimationThis animation was created with data taken from two NASA spaceborne instruments. The concentration of carbon dioxide data from the Atmospheric Infrared Sounder (AIRS), a weather and climate instrument that flies aboard NASA's Aqua spacecraft, is overlain on measurements of vegetation index from the Moderate Resolution Imaging Spectroradiometer (MODIS) instrument, also on NASA's Aqua spacecraft, to better understand how photosynthesis and respiration influences the atmospheric carbon dioxide cycle over the globe. The animation runs from January through December and repeats. The AIRS tropospheric carbon dioxide seasonal cycle values were made by averaging AIRS data collected between 2003 and 2010, from which the annual carbon dioxide growth trend of 2 parts per million per year has been removed. For example, the data used for January 1 is actually an average of eight years of AIRS carbon dioxide data taken each year on January 1. The vegetation values were made using data averaged over a four-year period, from 2003 to 2006.Further DetailAIRS uses infrared technology to determine the concentration of atmospheric water vapor and several important trace gases as well as information about temperature and clouds. AIRS orbits Earth from pole-to-pole at an altitude of 438 miles (705 kilometers), measuring Earth's infrared spectrum in 3,278 channels spanning a wavelength range from 3.74 microns to 15.4 microns. Originally designed to improve weather forecasts, AIRS has improved operational five-day weather forecasts more than any other single instrument over the past decade. AIRS has also been found to be sensitive to atmospheric carbon dioxide in the middle troposphere, at an altitude of 5 to 10 kilometers or 3 to 6 miles. AIRS is managed by NASA's Jet Propulsion Laboratory, Pasadena, Calif., under contract to NASA. JPL is a division of the California Institute of Technology in Pasadena. For further information, access the AIRS projectThe MODIS instrument is managed by NASA's Goddard Space Flight Center, Greenbelt, Md. For further information, access the MODIS project. || ", "release_date": "2012-07-08T00:00:00-04:00", "update_date": "2024-10-09T00:02:20.883006-04:00", "main_image": { "id": 474848, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a003900/a003947/airsc02_land_connectionV070244.jpg", "filename": "airsc02_land_connectionV070244.jpg", "media_type": "Image", "alt_text": "The concentration of CO2 measured by AIRS is overlain on measurements of vegetation index from the Moderate Resolution Imaging Spectroradiaometer (MODIS), also on the Aqua spacecraft, in an effort to understand the influence of photosynthesis and respiration on the atmospheric CO2 cycle over the globe. The AIRS tropospheric CO2 seasonal cycle displayed is an average over 8 years of AIRS data, from which the annual growth trend of 2 ppm/year has been removed. The animation shows the buildup of tropospheric CO2 in the Northern Hemisphere with a maximum around May. The maximum in the vegetation cycle follows, occurring in the late summer. Following the peak in vegetation, the drawdown of atmospheric CO2 due to photosynthesis is apparent, particularly over the Boreal Forests.This video is also available on our YouTube channel.", "width": 1278, "height": 719, "pixels": 918882 } } }, { "id": 411339, "type": "details_page", "extra_data": null, "instance": { "id": 4486, "url": "https://svs.gsfc.nasa.gov/4486/", "page_type": "Visualization", "title": "Study Domain for the Arctic-Boreal Vulnerability Experiment", "description": "This image shows the core region (red outline) and extended region (purple outline) of the Arctic-Boreal Vulnerability Experiment over a background of the NDVI trend from 1983-2012. || ArcticGreeningImage_flat_print.jpg (1024x696) [278.1 KB] || ArcticGreeningImage_flat_searchweb.png (320x180) [152.1 KB] || ArcticGreeningImage_flat_thm.png (80x40) [21.3 KB] || ArcticGreeningImage_flat.tif (1000x680) [1.9 MB] || ", "release_date": "2016-08-19T00:00:00-04:00", "update_date": "2023-05-03T13:48:21.227882-04:00", "main_image": { "id": 421876, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004400/a004486/ArcticGreeningImage_flat_print.jpg", "filename": "ArcticGreeningImage_flat_print.jpg", "media_type": "Image", "alt_text": "This image shows the core region (red outline) and extended region (purple outline) of the Arctic-Boreal Vulnerability Experiment over a background of the NDVI trend from 1983-2012.", "width": 1024, "height": 696, "pixels": 712704 } } }, { "id": 411340, "type": "details_page", "extra_data": null, "instance": { "id": 30669, "url": "https://svs.gsfc.nasa.gov/30669/", "page_type": "Hyperwall Visual", "title": "Modeled Phytoplankton Communities in the Global Ocean", "description": "Phytoplankton are the base of the marine food web and are crucial players in the Earth's carbon cycle. They are also incredibly diverse. This visualization shows dominant phytoplankton types from 1994-1998 generated by the Darwin Project using a high-resolution ocean and ecosystem model. The model contains flow fields from 1994-1998 (generated by the ECCO2 model), inorganic nutrients, 78 species of phytoplankton, zooplankton, as well as particulate and dissolved organic matter. Colors represent the most dominant type of phytoplankton at a given location based on their size and ability to uptake nutrients. Red represents diatoms (big phytoplankton, which need silica), yellow represents flagellates (other big phytoplankton), green represents prochlorococcus (small phytoplankton that cannot use nitrate), and cyan represents synechococcus (other small phytoplankton). Opacity indicates concentration of the carbon biomass.A key part of the Darwin Project is developing theoretical and numerical models of the marine ecosystems. The data shown here are from a simulation of the Darwin model in a physical run of the Massachusetts Institute of Technology general circulation model by the Estimating the Circulation and Climate of the Ocean (ECCO) group. The model provides a laboratory to explore the controls on biodiversity and the biogeography of different phytoplankton species. In particular, the role of the swirls and filaments (mesoscale features) appear important in maintaining high biodiversity in the ocean. || ", "release_date": "2015-09-30T18:00:00-04:00", "update_date": "2024-10-07T00:10:02.045938-04:00", "main_image": { "id": 432744, "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030600/a030669/darwin_phytoplankton_globe_print.jpg", "filename": "darwin_phytoplankton_globe_print.jpg", "media_type": "Image", "alt_text": "A rotating globe shows the distribution of phytoplankton the the world's oceans", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411341, "type": "details_page", "extra_data": null, "instance": { "id": 30634, "url": "https://svs.gsfc.nasa.gov/30634/", "page_type": "Hyperwall Visual", "title": "GEOS-5 Carbon Dioxide and Carbon Monoxide Simulation for SC 2014", "description": "Carbon exists in many forms—e.g., carbon dioxide (CO2), carbon monoxide (CO)—and continually cycles through Earth’s atmosphere, ocean, and terrestrial ecosystems. This visualization, created using data from the 7-km GEOS-5 Nature Run model, shows average column concentrations of atmospheric CO2 (colored shades) and CO (white shades underneath) from May 15, 2005 to June 16, 2007. There is also a version that covers January 1, 2006 to December 31, 2006.CO2 variations are largely controlled by fossil fuel emissions and seasonal fluxes of carbon between the atmosphere and land biosphere. For example, dark red and pink shades represent regions where CO2 concentrations are enhanced by carbon sources, mainly from human activities. During Northern Hemisphere spring and summer months, plants absorb a substantial amount of CO2 through photosynthesis, thus removing CO2 from the atmosphere. Atmospheric CO, a pollutant harmful to human health, is produced mainly from fossil fuel combustion and biomass burning. Here, high concentrations of CO (white) are mainly from fire activity in Africa, South America, and Australia. Scientists use model output data such as these to help answer important questions about Earth’s climate and to help design future satellite missions.These model simulations use fossil fuel emissions estimates provided by the Emissions Database for Global Atmospheric Research (EDGAR). NASA’s Quick Fire Emissions Dataset (QFED) estimates fire emissions using MODIS fire radiative power observations. Additional, observationally constrained estimates of CO2 flux between the atmosphere and land and ocean carbon reservoirs were produced as part of NASA’s Carbon Monitoring System Flux Pilot Project (http://carbon.nasa.gov/cgi-bin/cms/inv_pgp.pl?pgid=581). Land biosphere fluxes come from the Carnegie-Ames-Stanford Approach Global Fire Emissions Database (CASA-GFED) model which incorporates MODIS vegetation classification and AVHRR Normalized Difference Vegetation Index (NDVI) data. Ocean fluxes are produced by the NASA Ocean Biogeochemical Model (NOBM) which incorporates MODIS chlorophyll observations. || ", "release_date": "2014-12-10T00:00:00-05:00", "update_date": "2025-01-05T00:25:18.188596-05:00", "main_image": { "id": 432554, "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030600/a030634/geos_carbon_720p_print.jpg", "filename": "geos_carbon_720p_print.jpg", "media_type": "Image", "alt_text": "GEOS-5 carbon, May 15, 2005 - June 16, 2007.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411342, "type": "details_page", "extra_data": null, "instance": { "id": 30716, "url": "https://svs.gsfc.nasa.gov/30716/", "page_type": "Hyperwall Visual", "title": "GEOS-5 1.5km Carbon Simulation Over Southern Africa", "description": "geos5-carbon-africa-south_print.jpg (1024x574) [234.8 KB] || geos5-carbon-africa-south.png (4104x2304) [44.3 MB] || geos5-carbon-africa-south_searchweb.png (320x180) [119.4 KB] || geos5-carbon-africa-south_thm.png (80x40) [7.4 KB] || geos5_carbon_africa_south_1080p.mp4 (1920x1080) [50.1 MB] || geos5_carbon_africa_south_720p.mp4 (1280x720) [22.8 MB] || geos5_carbon_africa_south_720p.webm (1280x720) [1.6 MB] || geos5_carbon_africa_south_2304p.mp4 (4096x2304) [148.8 MB] || ", "release_date": "2015-11-09T01:20:00-05:00", "update_date": "2025-01-06T02:32:08.973049-05:00", "main_image": { "id": 433170, "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030700/a030716/geos5-carbon-africa-south_print.jpg", "filename": "geos5-carbon-africa-south_print.jpg", "media_type": "Image", "alt_text": "", "width": 1024, "height": 574, "pixels": 587776 } } }, { "id": 411343, "type": "details_page", "extra_data": null, "instance": { "id": 30724, "url": "https://svs.gsfc.nasa.gov/30724/", "page_type": "Hyperwall Visual", "title": "GEOS-5: 13 Years of Carbon Dioxide", "description": "Imagery for 2012 || co2-2012_print.jpg (1024x574) [173.5 KB] || co2-2012.png (4104x2304) [30.7 MB] || co2-2012_searchweb.png (320x180) [91.9 KB] || co2-2012_thm.png (80x40) [6.9 KB] || 13 years of imagery || geos-5-13-years-of-carbon-dioxide_print.jpg (1024x574) [173.5 KB] || geos-5-13-years-of-carbon-dioxide.png (4104x2304) [30.7 MB] || geos-5-13-years-of-carbon-dioxide_searchweb.png (320x180) [91.9 KB] || geos-5-13-years-of-carbon-dioxide_thm.png (80x40) [6.9 KB] || ", "release_date": "2015-11-12T02:00:00-05:00", "update_date": "2025-01-06T02:32:33.217339-05:00", "main_image": { "id": 433295, "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030700/a030724/co2-2012_print.jpg", "filename": "co2-2012_print.jpg", "media_type": "Image", "alt_text": "Imagery for 2012", "width": 1024, "height": 574, "pixels": 587776 } } }, { "id": 411344, "type": "details_page", "extra_data": null, "instance": { "id": 30735, "url": "https://svs.gsfc.nasa.gov/30735/", "page_type": "Hyperwall Visual", "title": "The Global Pulse of Carbon Dioxide in the 21st Century", "description": "co2cl_SATELLITE_M2R12K-M2R12K_BETA7_20070701_0030_print.jpg (1024x576) [126.0 KB] || co2cl_SATELLITE_M2R12K-M2R12K_BETA7_20070701_0030.png (5760x3240) [7.4 MB] || co2cl_SATELLITE_M2R12K-M2R12K_BETA7_20070701_0030_searchweb.png (320x180) [81.1 KB] || co2cl_SATELLITE_M2R12K-M2R12K_BETA7_20070701_0030_thm.png (80x40) [7.2 KB] || geos5_co2_14_years_720p.webm (1280x720) [20.3 MB] || geos5_co2_14_years_720p.mp4 (1280x720) [130.5 MB] || geos5_co2_14_years_1080p.mp4 (1920x1080) [245.7 MB] || geos5_co2_14_years_2304p.mp4 (4096x2304) [811.4 MB] || ", "release_date": "2015-12-15T00:00:00-05:00", "update_date": "2024-12-15T23:47:54.072219-05:00", "main_image": { "id": 433417, "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030700/a030735/co2cl_SATELLITE_M2R12K-M2R12K_BETA7_20070701_0030_print.jpg", "filename": "co2cl_SATELLITE_M2R12K-M2R12K_BETA7_20070701_0030_print.jpg", "media_type": "Image", "alt_text": "", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411345, "type": "details_page", "extra_data": null, "instance": { "id": 4533, "url": "https://svs.gsfc.nasa.gov/4533/", "page_type": "Visualization", "title": "Atmospheric CO2 from AIRS 2002-2016", "description": "This visualization is an update of the global distribution and variation of the concentration of mid-tropospheric carbon dioxide observed by the Atmospheric Infrared Sounder (AIRS) on the NASA Aqua spacecraft. For comparison, it is overlain by a graph of the seasonal variation and interannual increase of carbon dioxide observed at the Mauna Loa, Hawaii observatory.The two most notable features of this visualization are the seasonal variation of CO2 and the trend of increase in its concentration from year to year. The global map clearly shows that the CO2 in the northern hemisphere peaks in April-May and then drops to a minimum in September-October. Although the seasonal cycle is less pronounced in the southern hemisphere it is opposite to that in the northern hemisphere. This seasonal cycle is governed by the growth cycle of plants. The northern hemisphere has the majority of the land masses, and so the amplitude of the cycle is greater in that hemisphere. The overall color of the map shifts toward the red with advancing time due to the annual increase of CO2. || ", "release_date": "2016-12-15T00:00:00-05:00", "update_date": "2025-01-05T23:15:16.154419-05:00", "main_image": { "id": 417833, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004500/a004533/airs_co2_2016_1080p30.00922_print.jpg", "filename": "airs_co2_2016_1080p30.00922_print.jpg", "media_type": "Image", "alt_text": "The visualization of AIRS CO2 dataset.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411346, "type": "details_page", "extra_data": null, "instance": { "id": 30802, "url": "https://svs.gsfc.nasa.gov/30802/", "page_type": "Hyperwall Visual", "title": "NASA Carbon Monitoring System - Show for George Hurtt", "description": "Title slide 1 || 01_hw_cms_hyperwall_Final_1_print.jpg (1024x576) [117.0 KB] || 01_hw_cms_hyperwall_Final_1.png (5761x3243) [4.2 MB] || 01_hw_cms_hyperwall_Final_1_searchweb.png (320x180) [69.3 KB] || 01_hw_cms_hyperwall_Final_1_thm.png (80x40) [6.2 KB] || nasa-carbon-monitoring-system-1.hwshow [309 bytes] || Slide 2 || 02_hw_HRLidar_GLight_LD_print.jpg (1024x576) [197.0 KB] || 02_hw_HRLidar_GLight_LD.png (5760x3240) [71.2 MB] || ", "release_date": "2016-09-07T00:00:00-04:00", "update_date": "2024-10-10T00:26:48.290333-04:00", "main_image": { "id": 420909, "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030800/a030802/01_hw_cms_hyperwall_Final_1_print.jpg", "filename": "01_hw_cms_hyperwall_Final_1_print.jpg", "media_type": "Image", "alt_text": "Title slide 1", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411347, "type": "details_page", "extra_data": null, "instance": { "id": 30556, "url": "https://svs.gsfc.nasa.gov/30556/", "page_type": "Hyperwall Visual", "title": "Atmospheric CO₂ Trends", "description": "Fossil fuel combustion and other human activities are now increasing the atmospheric carbon dioxide (CO2) abundance to unprecedented rates. It is estimated that approximately 36 billion tons of CO2 are added to the atmosphere each year. The large graph shown here is an animated version of the standard Keeling curve from 1980 to September 2014. The red line denotes ground-based measurements from the Mauna Loa Observatory in Hawaii, while yellow denotes observations from the South Pole Observatory. Purple denotes the global trend. The smaller graph in the upper left shows satellite measurements of tropospheric CO2 concentrations (white dots) at different latitudes from September 2002 to September 2014, obtained by the Atmospheric Infrared Sounder (AIRS) and Advanced Microwave Sounding Unit (AMSU) instruments. Note how the Northern Hemisphere has greater variably and generally higher levels of CO2 than the Southern Hemisphere. In May of 2013, these emissions pushed the monthly average CO2 concentrations above 400 parts per million (ppm)—a level that has not been reached during the past 800,000 years. These ever-increasing levels are raising concerns about greenhouse-gas-induced climate change. || ", "release_date": "2014-12-10T00:00:00-05:00", "update_date": "2025-01-06T02:14:28.196859-05:00", "main_image": { "id": 1093701, "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030500/a030556/pumphandle_hyper_2022_1080p.00001_print.jpg", "filename": "pumphandle_hyper_2022_1080p.00001_print.jpg", "media_type": "Image", "alt_text": "Full and complete visualization: the pump handle + Keeling data + Law dome and Siple ice core + Vostok and EPICA Dome C ice core", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411348, "type": "details_page", "extra_data": null, "instance": { "id": 4596, "url": "https://svs.gsfc.nasa.gov/4596/", "page_type": "Visualization", "title": "20 Years of Global Biosphere (updated)", "description": "This Mollweide projected data visualization shows 20 years of Earth's biosphere starting in September 1997 going through September 2017. Data for this visualization was collected from multiple satellites over the past twenty years. || biosphere7_mollweide.4507_print.jpg (576x1024) [192.2 KB] || biosphere7_mollweide.4507_searchweb.png (180x320) [91.0 KB] || biosphere7_mollweide.4507_thm.png (80x40) [7.4 KB] || mollweide_annotated (1920x1080) [0 Item(s)] || biosphere7_mollweide_1080p30.webm (1920x1080) [17.8 MB] || biosphere7_mollweide_1080p30.mp4 (1920x1080) [264.8 MB] || biosphere7_mollweide_1080p30.mp4.hwshow || ", "release_date": "2017-11-14T17:00:00-05:00", "update_date": "2025-02-02T22:34:23.873667-05:00", "main_image": { "id": 551678, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004500/a004596/biosphere7_mollweide.4507_print.jpg", "filename": "biosphere7_mollweide.4507_print.jpg", "media_type": "Image", "alt_text": "This Mollweide projected data visualization shows 20 years of Earth's biosphere starting in September 1997 going through September 2017. Data for this visualization was collected from multiple satellites over the past twenty years.", "width": 576, "height": 1024, "pixels": 589824 } } }, { "id": 411349, "type": "details_page", "extra_data": null, "instance": { "id": 4398, "url": "https://svs.gsfc.nasa.gov/4398/", "page_type": "Visualization", "title": "Ocean Surface CO2 Flux with Wind Stress", "description": "This animation shows the ocean surface CO2 flux between 1/1/2009 and 12/31/2010. Blue colors indicate uptake and orange-red colors indicate outgassing of ocean carbon. The pathlines indicate surface wind stress. || CO2flux_windStress.00480_print.jpg (1024x576) [213.6 KB] || CO2flux_windStress.00480_searchweb.png (180x320) [97.8 KB] || CO2flux_windStress.00480_thm.png (80x40) [7.2 KB] || CO2flux_windStress_1080p30.webm (1920x1080) [23.4 MB] || 3840x2160_16x9_30p (3840x2160) [512.0 KB] || 5760x3240_16x9_30p (5760x3240) [512.0 KB] || CO2flux_windStress_1080p30.mp4 (1920x1080) [673.7 MB] || CO2flux_windStress_2160p30.mp4 (3840x2160) [1.7 GB] || CO2flux_windStress_4398.key [679.6 MB] || CO2flux_windStress_4398.pptx [677.0 MB] || CO2flux_windStress_1080p30.mp4.hwshow [201 bytes] || ", "release_date": "2015-11-18T00:00:00-05:00", "update_date": "2024-10-09T00:05:53.993279-04:00", "main_image": { "id": 437417, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004300/a004398/CO2flux_windStress.00480_print.jpg", "filename": "CO2flux_windStress.00480_print.jpg", "media_type": "Image", "alt_text": "This animation shows the ocean surface CO2 flux between 1/1/2009 and 12/31/2010. Blue colors indicate uptake and orange-red colors indicate outgassing of ocean carbon. The pathlines indicate surface wind stress.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411350, "type": "details_page", "extra_data": null, "instance": { "id": 30511, "url": "https://svs.gsfc.nasa.gov/30511/", "page_type": "Hyperwall Visual", "title": "Coccolithophores Near the Patagonia Shelf", "description": "Coccolithophores, a type of phytoplankton, are one-celled, microscopic marine plants that live in large numbers throughout the upper layers of the ocean. They surround themselves with minute calcium carbonate plates called “coccoliths,” which are highly reflective such that populations of these plants can be seen from space. Near the Patagonia Shelf, located east of Argentina and Uruguay, ocean waters thrive with high concentrations of microscopic phytoplankton—e.g., coccolithiphores, dinoflagellates, and diatoms to name a few. That is because in this region the warm, saline, southward-flowing Brazil Current flows past and mixes with the cool, less-saline, nutrient-rich northward-flowing Falklands/Malvinas Current, creating an ideal environment for biological productivity. Scientists use true color satellite images like these, taken by Aqua/MODIS from December 15, 2010 to February 15, 2011, to observe the recurring coccolithophore blooms in the Patagonia Shelf region and study the impacts of ocean acidification on these microscopic organisms. Imagery from these two months shows a coccolithophore bloom (turquoise) near the shelf break. The shelf's unique ecosystem supports important fisheries in the region, providing a favorable reproductive habitat for anchovies and sardines. || ", "release_date": "2014-06-03T00:00:00-04:00", "update_date": "2024-12-15T23:38:08.778728-05:00", "main_image": { "id": 430508, "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030500/a030511/aqua_modis_patagonia_20101221_med.png", "filename": "aqua_modis_patagonia_20101221_med.png", "media_type": "Image", "alt_text": "MODIS images show recurring coccolithophore bloom near the Patagonia Shelf", "width": 720, "height": 405, "pixels": 291600 } } }, { "id": 411351, "type": "details_page", "extra_data": null, "instance": { "id": 11835, "url": "https://svs.gsfc.nasa.gov/11835/", "page_type": "Produced Video", "title": "Coloring The Seas", "description": "Marine plants bloom and paint the water in extraordinary hues. || c-1920.jpg (1920x1080) [583.4 KB] || c-1280.jpg (1280x720) [355.5 KB] || c-1024.jpg (1024x576) [249.1 KB] || c-1024_print.jpg (1024x576) [239.9 KB] || c-1024_searchweb.png (320x180) [116.7 KB] || c-1024_print_thm.png (80x40) [20.8 KB] || ", "release_date": "2015-04-09T11:00:00-04:00", "update_date": "2023-05-03T13:49:47.564021-04:00", "main_image": { "id": 444086, "url": "https://svs.gsfc.nasa.gov/vis/a010000/a011800/a011835/c-1024_print.jpg", "filename": "c-1024_print.jpg", "media_type": "Image", "alt_text": "Marine plants bloom and paint the water in extraordinary hues.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411352, "type": "details_page", "extra_data": null, "instance": { "id": 30600, "url": "https://svs.gsfc.nasa.gov/30600/", "page_type": "Hyperwall Visual", "title": "OCO-2 Early Glint Retrievals Over Water", "description": "XCO2 estimates from OCO-2 glint retrievals compared to model - transition animation || OCO2_glint_Q_print.jpg (1024x574) [165.5 KB] || OCO2_glint_Q.png (4104x2304) [1.8 MB] || OCO2_glint_Q_searchweb.png (320x180) [74.9 KB] || OCO2_glint_Q_thm.png (80x40) [5.9 KB] || JpGU_OCO2_glint_720p.webm (1280x720) [318.6 KB] || JpGU_OCO2_glint_1080p.mp4 (1920x1080) [400.9 KB] || JpGU_OCO2_glint_720p.mp4 (1280x720) [237.7 KB] || 4104x2304_16x9_30p (4104x2304) [4.0 KB] || JpGU_OCO2_glint_360p.mp4 (640x360) [82.6 KB] || JpGU_OCO2_glint_4k.mp4 (4104x2304) [905.5 KB] || JpGU_OCO2_glint_30600.key [4.7 MB] || JpGU_OCO2_glint_30600.pptx [2.1 MB] || ", "release_date": "2015-05-18T00:00:00-04:00", "update_date": "2024-07-15T00:17:37.525377-04:00", "main_image": { "id": 431660, "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030600/a030600/OCO2_glint_Q_print.jpg", "filename": "OCO2_glint_Q_print.jpg", "media_type": "Image", "alt_text": "XCO2 estimates from OCO-2 glint retrievals compared to model - transition animation", "width": 1024, "height": 574, "pixels": 587776 } } }, { "id": 411353, "type": "details_page", "extra_data": null, "instance": { "id": 4399, "url": "https://svs.gsfc.nasa.gov/4399/", "page_type": "Visualization", "title": "A Quarter Century US Forest Disturbance History from Landsat – the NAFD-NEX Products", "description": "Visualization showing forest change in various locations from 1986 to 2010This video is also available on our YouTube channel. || annual_forest43.04000_print.jpg (1024x576) [253.2 KB] || annual_forest43.04000_searchweb.png (180x320) [129.5 KB] || annual_forest43.04000_thm.png (80x40) [7.7 KB] || 1920x1080_16x9_60p (1920x1080) [0 Item(s)] || annual_forest43_1920x1080p60.webm (1920x1080) [23.2 MB] || annual_forest43_1920x1080p60.mp4 (1920x1080) [228.8 MB] || 9600x3240_16x9_30p (9600x3240) [0 Item(s)] || 3840x2160_16x9_60p (3840x2160) [0 Item(s)] || annual_forest43_4399.key [233.2 MB] || annual_forest43_4399.pptx [230.6 MB] || annual_forest43_4k_2160p60.mp4 (3840x2160) [825.7 MB] || 4399_annual_forest43_4k_cbar_MP4.mov (3840x2160) [14.4 GB] || annual.hwshow [55 bytes] || ", "release_date": "2015-11-30T00:00:00-05:00", "update_date": "2025-01-05T22:57:22.281358-05:00", "main_image": { "id": 437900, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004300/a004399/annual_forest43.04000_print.jpg", "filename": "annual_forest43.04000_print.jpg", "media_type": "Image", "alt_text": "Visualization showing forest change in various locations from 1986 to 2010This video is also available on our YouTube channel.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411354, "type": "details_page", "extra_data": null, "instance": { "id": 4407, "url": "https://svs.gsfc.nasa.gov/4407/", "page_type": "Visualization", "title": "Monthly burned area from the Global Fire Emissions Database (GFED)", "description": "The final animation of the monthly burned area percent shown in the Robinson projection with a colorbar and date overlay || comp_burned_area_pct.2234_print.jpg (1024x576) [128.4 KB] || comp_burned_area_pct.2234_searchweb.png (320x180) [78.4 KB] || comp_burned_area_pct.2234_thm.png (80x40) [6.4 KB] || comp_burned_area_pct.2234_web.png (320x180) [78.4 KB] || comp_burned_area_pct_1080p30.mp4 (1920x1080) [44.1 MB] || comp_burned_area_pct_1080p30.webm (1920x1080) [8.4 MB] || robinson_final (1920x1080) [0 Item(s)] || Comp_burned_area_pct_720p30.mp4 (1280x720) [26.2 MB] || robinson_final (3840x2160) [0 Item(s)] || comp_burned_area_4407.key [29.7 MB] || comp_burned_area_4407.pptx [27.1 MB] || comp_burned_area_pct_4k_2160p30.mp4 (3840x2160) [142.3 MB] || comp_burned_area_pct_1080p30.mp4.hwshow [228 bytes] || ", "release_date": "2015-12-15T11:00:00-05:00", "update_date": "2025-01-05T00:06:55.995176-05:00", "main_image": { "id": 437022, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004400/a004407/comp_burned_area_pct.2234_print.jpg", "filename": "comp_burned_area_pct.2234_print.jpg", "media_type": "Image", "alt_text": "The final animation of the monthly burned area percent shown in the Robinson projection with a colorbar and date overlay", "width": 1024, "height": 576, "pixels": 589824 } } } ], "extra_data": {} }, { "id": 371398, "url": "https://svs.gsfc.nasa.gov/gallery/nasaearth-science/#media_group_371398", "widget": "Tile gallery", "title": "Earth Surface and Interior", "caption": "", "description": "The Earth Surface and Interior focus area (ESI) supports innovative, cross-cutting research into solid Earth processes and properties. ESI uses NASA’s unique global observations to better understand the Earth from its inner core to its outer lithospheric crust, as well as the dynamics between these component parts and the Earth’s atmosphere and ocean. This research provides the foundational data, measurements, and observations that help us understand Earth’s shape, motion, and magnetism, as well as the basis for products needed to inform the assessment, mitigation, and forecasting of natural hazards like earthquakes, volcanic eruptions, tsunamis, landslides, and more.", "items": [ { "id": 411355, "type": "details_page", "extra_data": null, "instance": { "id": 20317, "url": "https://svs.gsfc.nasa.gov/20317/", "page_type": "Animation", "title": "Landsat 9", "description": "Beauty shot of Landsat 9 orbiting the Earth || LANDSAT9_BeautyShot_30fps_4k_ProRes.00005_print.jpg (1024x576) [50.8 KB] || LANDSAT9_BeautyShot_30fps_4k_ProRes.00005_searchweb.png (320x180) [38.3 KB] || LANDSAT9_BeautyShot_30fps_4k_ProRes.00005_thm.png (80x40) [3.6 KB] || LANDSAT9_BeautyShot_30fps_4k_ProRes.mov (3840x2160) [626.5 MB] || LANDSAT9_BeautyShot_30fps_4k_h264.mp4 (3840x2160) [10.8 MB] || LANDSAT9_BeautyShot_30fps_4k_ProRes.webm (3840x2160) [2.6 MB] || LANDSAT9_BeautyShot_4k (3840x2160) [32.0 KB] || ", "release_date": "2020-06-18T00:00:00-04:00", "update_date": "2020-06-11T12:56:13.171972-04:00", "main_image": { "id": 384456, "url": "https://svs.gsfc.nasa.gov/vis/a020000/a020300/a020317/LANDSAT9_BeautyShot_30fps_4k_ProRes.00005_print.jpg", "filename": "LANDSAT9_BeautyShot_30fps_4k_ProRes.00005_print.jpg", "media_type": "Image", "alt_text": "Beauty shot of Landsat 9 orbiting the Earth", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411356, "type": "details_page", "extra_data": null, "instance": { "id": 4735, "url": "https://svs.gsfc.nasa.gov/4735/", "page_type": "Visualization", "title": "NASA Surveys Hurricane Damage to Puerto Rico's Forests (Data Viz Version)", "description": "Hurricane Maria transformed the lush rainforests of Puerto Rico leaving lots of openings in the forest canopy. NASA scientists studied the island's forests before and after the storm. Goddard's Lidar, Hyperspectral, and Thermal Imager (G-LiHT) is a portable instrument that maps forest health and structure from a small airplane resulting in detailed 3-D views of the forest. G-LiHT sends out 600,000 laser pulses every second mapping leaves and branches, rocks and streams. Almost 60% of the canopy trees lost branches, snapped in half, or were uprooted. Trees with wide, spreading crowns were reduced to a slender main trunk. Forests in Puerto Rico are now one-third shorter on average, after Hurricane Maria. The disturbances affected the whole ecosystem, from soils and streams to birds and frogs. G-LiHT data will help scientists understand how forests and wildlife respond to future changes. || SIGGRAPH_lidar_over_Puerto_Rico.01000_print.jpg (1024x576) [90.3 KB] || SIGGRAPH_lidar_over_Puerto_Rico.01000_searchweb.png (320x180) [89.6 KB] || SIGGRAPH_lidar_over_Puerto_Rico.01000_thm.png (80x40) [7.1 KB] || SIGGRAPH_PuertoRicoLidar.webm (1920x1080) [19.9 MB] || SIGGRAPH_lidar_over_Puerto_Rico.webm (1920x1080) [21.4 MB] || SIGGRAPH_PuertoRicoLidar.mp4 (1920x1080) [253.0 MB] || ", "release_date": "2019-07-29T18:30:00-04:00", "update_date": "2023-05-03T13:45:45.769286-04:00", "main_image": { "id": 398514, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004700/a004735/SIGGRAPH_lidar_over_Puerto_Rico.01000_print.jpg", "filename": "SIGGRAPH_lidar_over_Puerto_Rico.01000_print.jpg", "media_type": "Image", "alt_text": "Hurricane Maria transformed the lush rainforests of Puerto Rico leaving lots of openings in the forest canopy. NASA scientists studied the island's forests before and after the storm. Goddard's Lidar, Hyperspectral, and Thermal Imager (G-LiHT) is a portable instrument that maps forest health and structure from a small airplane resulting in detailed 3-D views of the forest. G-LiHT sends out 600,000 laser pulses every second mapping leaves and branches, rocks and streams. Almost 60% of the canopy trees lost branches, snapped in half, or were uprooted. Trees with wide, spreading crowns were reduced to a slender main trunk. Forests in Puerto Rico are now one-third shorter on average, after Hurricane Maria. The disturbances affected the whole ecosystem, from soils and streams to birds and frogs. G-LiHT data will help scientists understand how forests and wildlife respond to future changes. ", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411357, "type": "details_page", "extra_data": null, "instance": { "id": 4588, "url": "https://svs.gsfc.nasa.gov/4588/", "page_type": "Visualization", "title": "Improvements in Groundwater and Soil Moisture Measurements Derived from the GRACE Mission", "description": "From space, we track water in the ground – whether it is a centimeter, a meter, or a kilometer below the surface. Around the world, NASA's GRACE satellites have provided unprecedented views of water storage in natural aquifers. These underground reserves are so massive that they affect Earth's gravity field. When their mass changes, the satellites detect the change in gravity. Droughts can affect deep groundwater stores when water users pump hundreds of billions of gallons out of their aquifers to compensate for the lack of rainfall – and GRACE can detect this change.This view from space has revolutionized our understanding of water stores beneath the surface. But scientists at NASA Goddard can combine GRACE data with sophisticated computer models to give decision makers in the continental US an otherwise unseen view, helping to trigger critical water conservation measures.These computer models help us decompose the GRACE signal to identify changes in both the shallow groundwater and the root zone where crops are actually drawing moisture to survive. Stations on the ground provide a connect-the-dots picture. The vantage point from space – combined with modeling – provides a comprehensive view of how the drought evolved over time and ultimately ended.This constantly changing snapshot of shallow groundwater conditions is now used every week in the US Drought Monitor, the benchmark relied upon by decision makers at the local, state, and federal level.This visualization shows the global Terrestrial Water Storage Anomaly from GRACE data, and then highlights the contiguous United States to show groundwater anomaly. This more detailed view is made by assimilating GRACEwater storage data into a supercomputer model of the land surface. The visualization dives into California, showing further detail by separating out the surface soil moisture (top 2 centimeters) and the root zone soil mositure (top 100 centimeters). || ", "release_date": "2017-10-06T00:00:00-04:00", "update_date": "2025-01-05T23:22:55.330872-05:00", "main_image": { "id": 410503, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004500/a004588/master_test.0001_print.jpg", "filename": "master_test.0001_print.jpg", "media_type": "Image", "alt_text": "GRACE Groundwater Animation, No Dates or Colorbar", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411358, "type": "details_page", "extra_data": null, "instance": { "id": 4691, "url": "https://svs.gsfc.nasa.gov/4691/", "page_type": "Visualization", "title": "A possible second large subglacial impact crater in northwest Greenland", "description": "As this visualization draws near to the northwest coast of Greenland where the Hiawatha Glacier is located, the ice sheet is cut away to show the topography of Greenland's bedrock lying beneath the ice sheet at 20x vertical exaggeration. The Hiawatha crater is clearly visible in the topography. Farther inland another, subtler circular depression can be seen. The edge picks of this depression are shown as vertical bars, while potential central peaks are marked by orange pyramids. As we rotate around the depression, the location of the best-fit circle to the edge picks appears and that circle's center is marked with an \"X\". This circle matches well with both the edge of the bedrock depression and also the residual slope of the ice surface as it flows over this depression (not shown), strongly supporting the inference that this depression is another large impact crater.This video is also available on our YouTube channel. || C2_Crater_4k.1524_print.jpg (1024x576) [111.8 KB] || C2_Crater_4k.1524_searchweb.png (320x180) [88.0 KB] || C2_Crater_4k.1524_thm.png (80x40) [7.2 KB] || C2_Crater_4k_1080p30_low.mp4 (1920x1080) [23.1 MB] || C2_Crater_4k_1080p30.mp4 (1920x1080) [47.8 MB] || C2_Crater_4k_1080p30.webmhd.webm (1080x606) [11.6 MB] || C2_Crater_4k_2160p30_low.mp4 (3840x2160) [48.2 MB] || C2_Crater_4k_2160p30.mp4 (3840x2160) [85.9 MB] || 3840x2160_16x9_30p (3840x2160) [0 Item(s)] || captions_silent.24907.en_US.srt [43 bytes] || captions_silent.24907.en_US.vtt [56 bytes] || C2_Crater_4K_YouTube.mp4 (3840x2160) [245.6 MB] || C2_Crater_4K_ProRes.mov (3840x2160) [3.4 GB] || C2_Crater_4k_1080p30_low.mp4.hwshow [190 bytes] || ", "release_date": "2019-02-11T11:00:00-05:00", "update_date": "2025-02-02T22:39:35.896273-05:00", "main_image": { "id": 397480, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004600/a004691/C2_Crater_4k.1524_print.jpg", "filename": "C2_Crater_4k.1524_print.jpg", "media_type": "Image", "alt_text": "As this visualization draws near to the northwest coast of Greenland where the Hiawatha Glacier is located, the ice sheet is cut away to show the topography of Greenland's bedrock lying beneath the ice sheet at 20x vertical exaggeration. The Hiawatha crater is clearly visible in the topography. Farther inland another, subtler circular depression can be seen. The edge picks of this depression are shown as vertical bars, while potential central peaks are marked by orange pyramids. As we rotate around the depression, the location of the best-fit circle to the edge picks appears and that circle's center is marked with an \"X\". This circle matches well with both the edge of the bedrock depression and also the residual slope of the ice surface as it flows over this depression (not shown), strongly supporting the inference that this depression is another large impact crater.This video is also available on our YouTube channel.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411359, "type": "details_page", "extra_data": null, "instance": { "id": 4572, "url": "https://svs.gsfc.nasa.gov/4572/", "page_type": "Visualization", "title": "The Hiawatha Impact Crater", "description": "The series of visualizations below are derived from satellite imagery and radar sounding. They portray both the location and size of the 31-kilometer-wide impact crater beneath Hiawatha Glacier. They also portray the structure of the glacier ice that flows into and fills the crater.The Hiawatha impact crater was first suspected to exist in the summer of 2015, from examination of a compilation of Greenland's sub-ice topography radar measurements made by NASA over two decades. The visualizations of the subsurface shown below are derived from a spring 2016 airborne survey by Germany's Alfred Wegener Institute, using a new ultrawideband radar sounder developed by the Center for Remote Sensing of Ice Sheets at The University of Kansas. Subsequent helicopter visits to the deglaciated terrain in front of Hiawatha Glacier by scientists from the Natural History Museum in Denmark recovered sediment samples from the main river that discharges water from beneath Hiawatha Glacier, through the northwestern rim breach. Laboratory examination revealed that these sediment samples contained shocked quartz and elevated platinum-group-element concentrations, both signs that the sediment records evidence of the impact of an iron asteroid more than one kilometer wide. The Hiawatha impact crater is potentially one of the youngest large impact craters on Earth.In the visualizations below, the elevation of the topography of the bed, the ice surface and the radar curtains have been exaggerated ten times in order to better illustrate their structure. || ", "release_date": "2018-11-14T14:00:00-05:00", "update_date": "2025-02-02T22:33:21.416878-05:00", "main_image": { "id": 413069, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004500/a004572/Hiawatha_v45_scene1_4k_5mtopo.1600_print.jpg", "filename": "Hiawatha_v45_scene1_4k_5mtopo.1600_print.jpg", "media_type": "Image", "alt_text": "Starting from a global view, this visualization zooms into Inglefield Land in northwest Greenland and shows the location of Hiawatha Glacier. The surface of the ice sheet is then faded away to show the impact crater beneath the ice sheet. A red cylinder shows the best-fit rim of the impact crater and a measuring stick shows the diameter as more than 31 kilometers across. The size of the crater is compared to the cities of Washington, DC and Paris, France.This video is also available on our YouTube channel.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411360, "type": "details_page", "extra_data": null, "instance": { "id": 3623, "url": "https://svs.gsfc.nasa.gov/3623/", "page_type": "Visualization", "title": "Groundwater Depletion in India Revealed by GRACE", "description": "Scientists using data from NASA's Gravity Recovery and Climate Experiment (GRACE) have found that the groundwater beneath Northern India has been receding by as much as one foot per year over the past decade. After examining many environmental and climate factors, the team of hydrologists led by Matt Rodell of NASA's Goddard Space Flight Center, Greenbelt, Md. concluded that the loss is almost entirely due to human consumption.Groundwater comes from the natural percolation of precipitation and other surface waters down through Earth's soil and rock, accumulating in aquifers - cavities and layers of porous rock, gravel, sand, or clay. In some subterranean reservoirs, the water may be thousands to millions of years old; in others, water levels decline and rise again naturally each year. Groundwater levels do not respond to changes in weather as rapidly as lakes, streams, and rivers do. So when groundwater is pumped for irrigation or other uses, recharge to the original levels can take months or years. More than 109 cubic km (26 cubic miles) of groundwater disappeared from the region's aquifers between 2002 and 2008 — double the capacity of India's largest surface water reservoir, the Upper Wainganga, and triple that of Lake Mead, the largest manmade reservoir in the U.S. The animation shown here depicts the change in groundwater levels as measured each November between 2002 to 2008. || ", "release_date": "2009-08-12T00:00:00-04:00", "update_date": "2024-10-09T15:45:12.759437-04:00", "main_image": { "id": 496796, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a003600/a003623/grace_smooth_idl33.0350.jpg", "filename": "grace_smooth_idl33.0350.jpg", "media_type": "Image", "alt_text": "Groundwater depletion, without color bar", "width": 1280, "height": 720, "pixels": 921600 } } }, { "id": 411361, "type": "details_page", "extra_data": null, "instance": { "id": 4627, "url": "https://svs.gsfc.nasa.gov/4627/", "page_type": "Visualization", "title": "GRACE 15-Year Groundwater Trends", "description": "Africa, No Colorbar || africa_groundwater_no_cbar.01500_print.jpg (1024x576) [108.2 KB] || africa_groundwater_no_cbar.01500_searchweb.png (320x180) [71.6 KB] || africa_groundwater_no_cbar.01500_web.png (320x180) [71.6 KB] || africa_no_cbar (1920x1080) [0 Item(s)] || africa_groundwater_no_cbar_1080p30.mp4 (1920x1080) [21.3 MB] || africa_groundwater_no_cbar_1080p30.webm (1920x1080) [5.6 MB] || ", "release_date": "2018-05-16T13:00:00-04:00", "update_date": "2025-01-06T00:12:36.666525-05:00", "main_image": { "id": 406520, "url": "https://svs.gsfc.nasa.gov/vis/a000000/a004600/a004627/china_groundwater_no_cbar.01500_print.jpg", "filename": "china_groundwater_no_cbar.01500_print.jpg", "media_type": "Image", "alt_text": "China, No Colorbar", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411362, "type": "details_page", "extra_data": null, "instance": { "id": 30176, "url": "https://svs.gsfc.nasa.gov/30176/", "page_type": "Hyperwall Visual", "title": "Subsidence in California's Central Valley", "description": "This animation shows, in exaggerated terms, how the surface of the southern Central Valley of California deformed from the period 2007 to 2011. Interferometric data from the Japanese ALOS PALSAR imaging radar was used to measure the deformation, shown in color overlaid on an ASTER image. The large subsidence \"bowl\" that developed over this time period was caused by withdrawal of groundwater, causing subsurface layers to compact. Interferometric synthetic aperture radar, or InSAR, can be used to monitor subsidence in order to prevent groundwater overdraft and irreversible compaction of aquifers. ALOS PALSAR data is copyright JAXA/METI and was provided by the GEO Supersites and the U.S. Government Research Consortium datapool at the Alaska Satellite Facility. || ", "release_date": "2013-10-17T12:00:00-04:00", "update_date": "2024-12-15T00:18:09.205380-05:00", "main_image": { "id": 429010, "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030100/a030176/central_valley_groundwater_insar_print.jpg", "filename": "central_valley_groundwater_insar_print.jpg", "media_type": "Image", "alt_text": "Radar data shows subsidence.", "width": 1024, "height": 576, "pixels": 589824 } } }, { "id": 411363, "type": "details_page", "extra_data": null, "instance": { "id": 30027, "url": "https://svs.gsfc.nasa.gov/30027/", "page_type": "Hyperwall Visual", "title": "LDCM Presentation (Alan Belward)", "description": "Presentation given by Alan Belward at the launch of the Landsat Data Continuity Mission (LDCM) on February 11, 2013. || The world population reached 7 billion in October 2011. Since then we have been adding over 135 people every minute. || pressure_on_earth_print.jpg (1024x575) [263.7 KB] || pressure_on_earth.jpg (4098x2304) [1.7 MB] || pressure_on_earth_searchweb.png (320x180) [43.8 KB] || pressure_on_earth_thm.png (80x40) [4.4 KB] || pressure-on-earth.hwshow [185 bytes] || ", "release_date": "2013-02-04T00:00:00-05:00", "update_date": "2025-01-06T01:55:37.207609-05:00", "main_image": { "id": 428034, "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030000/a030027/pressure_on_earth_print.jpg", "filename": "pressure_on_earth_print.jpg", "media_type": "Image", "alt_text": "The world population reached 7 billion in October 2011. Since then we have been adding over 135 people every minute.", "width": 1024, "height": 575, "pixels": 588800 } } }, { "id": 411364, "type": "details_page", "extra_data": null, "instance": { "id": 30730, "url": "https://svs.gsfc.nasa.gov/30730/", "page_type": "Hyperwall Visual", "title": "High-Resolution Soil Moisture Maps", "description": "These maps combine data from the twin satellites of the Gravity Recovery and Climate Experiment (GRACE) with other satellite and ground-based measurements to model the relative amount of water stored at two different levels: at plant root level and underground. The wetness, or water content, of each layer is compared to the average between 1948 and 2009. The darkest red regions represent dry conditions that should occur only 2 percent of the time (about once every 50 years). All of the maps are experimental products funded by NASA’s Applied Sciences Program and developed by scientists at NASA’s Goddard Space Flight Center and the National Drought Mitigation Center. The maps do not attempt to represent human consumption of water; but rather, they show changes in water storage related to weather, climate, and seasonal patterns. || ", "release_date": "2015-12-16T12:00:00-05:00", "update_date": "2025-02-02T00:34:27.030349-05:00", "main_image": { "id": 433305, "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030700/a030730/grace_root_zone_groundwater_print.jpg", "filename": "grace_root_zone_groundwater_print.jpg", "media_type": "Image", "alt_text": "Soil moisture in the root zone compared to ground water storage.", "width": 1024, "height": 574, "pixels": 587776 } } }, { "id": 411365, "type": "details_page", "extra_data": null, "instance": { "id": 30216, "url": "https://svs.gsfc.nasa.gov/30216/", "page_type": "Hyperwall Visual", "title": "Human Fingerprints", "description": "This is a series of images for the hyperwall, including Las Vegas Growth, Population Density, Night Lights, Dubai Urbanization, Hobet Mine, and the Yellow River Delta. || ", "release_date": "2013-10-21T12:00:00-04:00", "update_date": "2025-01-06T02:00:35.979824-05:00", "main_image": { "id": 1, "url": "https://svs.gsfc.nasa.gov/images/no_preview_web_black.png", "filename": "no_preview_web_black.png", "media_type": "Image", "alt_text": "Current Airborne Fleet", "width": 320, "height": 180, "pixels": 57600 } } }, { "id": 411366, "type": "details_page", "extra_data": null, "instance": { "id": 30469, "url": "https://svs.gsfc.nasa.gov/30469/", "page_type": "Hyperwall Visual", "title": "Landsat Data Help Water-Resource Managers", "description": "In the Western United States between 80 and 90% of freshwater is used for agriculture. In Southern California irrigated farmland stretches southward across the desert from the Salton Sea—an artificial inland sea—to the Mexico border. In the natural-color image [left] acquired on May 15, 2013, by Landsat 8’s Operational Land Imager, blocks of square farmland appear in shades of green and tan, while urban areas such as El Centro, California and Mexicali, Mexico appear in shades of gray. Accurate estimates of total crop area provided by Landsat satellites can be used to help forecast commodities in the United States and the world food market. On that same day, thermal measurements from Landsat 8’s Thermal Infrared Sensor [right] show different temperatures between crop fields as well as urban and desert areas. Cooler areas (e.g., irrigated crops) appear as dark purple and red shades, while warmer areas (e.g., urban and desert areas) appear as shades of bright yellow and white. Plants cool down when they transpire, so the combination of water evaporating from the plants and the ground (i.e., evapotranspiration) lowers the temperature of the irrigated land. Pixels representing cooler areas in thermal images from TIRS help water-resource managers determine where water is being used for irrigation, allowing them to make management decisions on water distribution to preserve this scarce resource. When an earlier design of Landsat 8 did not include a thermal infrared band, the Western States Water Council advocated for its inclusion.Used in 2014 Calendar. || ", "release_date": "2013-11-01T12:00:00-04:00", "update_date": "2024-10-10T00:21:05.600534-04:00", "main_image": { "id": 429996, "url": "https://svs.gsfc.nasa.gov/vis/a030000/a030400/a030469/landsat8_water_resource_managers_cal_print.jpg", "filename": "landsat8_water_resource_managers_cal_print.jpg", "media_type": "Image", "alt_text": "Landsat 8 imagery of the Salton Sea on May 15, 2013.", "width": 1024, "height": 576, "pixels": 589824 } } } ], "extra_data": {} } ] }