{
"id": 40415,
"url": "https://svs.gsfc.nasa.gov/gallery/whats-newwith-earth-today/",
"page_type": "Gallery",
"title": "What's New with Earth Today",
"description": "Explore the latest visualizations of NASA's Earth Observing satellites and the data they collect. NASA researchers are constantly tracking remote-sensing data and modeling processes to better understand our home planet.",
"release_date": "2015-01-04T00:00:00-05:00",
"update_date": "2023-03-15T00:00:00-04:00",
"main_image": {
"id": 388130,
"url": "https://svs.gsfc.nasa.gov/vis/a000000/a005000/a005002/sea_min_w_graph_2021.1349_searchweb.png",
"filename": "sea_min_w_graph_2021.1349_searchweb.png",
"media_type": "Image",
"alt_text": "Arctic sea ice minimum 1979-2021, with graph",
"width": 180,
"height": 320,
"pixels": 57600
},
"media_groups": [
{
"id": 371492,
"url": "https://svs.gsfc.nasa.gov/gallery/whats-newwith-earth-today/#media_group_371492",
"widget": "Basic text (large)",
"title": "Overview",
"caption": "",
"description": "Explore the latest visualizations of NASA's Earth Observing satellites and the data they collect. NASA researchers are constantly tracking remote-sensing data and modeling processes to better understand our home planet.",
"items": [],
"extra_data": {}
},
{
"id": 371493,
"url": "https://svs.gsfc.nasa.gov/gallery/whats-newwith-earth-today/#media_group_371493",
"widget": "Tile gallery",
"title": "Latest Earth Visuals",
"caption": "",
"description": "",
"items": [
{
"id": 411789,
"type": "media_group",
"extra_data": null,
"title": "Near Real-Time Global Precipitation from the Global Precipitation Measurement Constellation",
"caption": "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.",
"instance": {
"id": 375209,
"url": "https://svs.gsfc.nasa.gov/vis/a000000/a004200/a004285/imergert_1080p_30_searchweb.png",
"filename": "imergert_1080p_30_searchweb.png",
"media_type": "Image",
"alt_text": "This gallery brings together the data visualizations that are updated daily for NASA's Earth Information Center (EIC).",
"width": 180,
"height": 320,
"pixels": 57600
}
},
{
"id": 411790,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 5046,
"url": "https://svs.gsfc.nasa.gov/5046/",
"page_type": "Visualization",
"title": "Daily Arctic Sea Ice, By Year",
"description": "Summary",
"release_date": "2022-11-28T00:00:00-05:00",
"update_date": "2026-03-05T00:15:50.334276-05:00",
"main_image": {
"id": 552191,
"url": "https://svs.gsfc.nasa.gov/vis/a000000/a005000/a005046/arctic_sea_ice_w_dates.2022001_print.jpg",
"filename": "arctic_sea_ice_w_dates.2022001_print.jpg",
"media_type": "Image",
"alt_text": "2022 Arctic daily sea ice with date",
"width": 1024,
"height": 576,
"pixels": 589824
}
}
},
{
"id": 411791,
"type": "media_group",
"extra_data": null,
"title": "Daily Arctic Sea Ice, By Year (Regularly Updated)",
"caption": "This visualization shows the daily Arctic sea ice and seasonal land cover change progressing through time, with a single frame rendered for each day (available from the drop-down of each image window), and an animation created from these frames. \n\nThe Japan Aerospace Exploration Agency (JAXA) provides many water-related products derived from data acquired by the Advanced Microwave Scanning Radiometer 2 (AMSR2) instrument aboard the Global Change Observation Mission 1st-Water \"SHIZUKU\" (GCOM-W1) satellite. Two JAXA datasets are used in this animation: the 10-km daily sea ice concentration and the 10 km daily 89 GHz Brightness Temperature.\n\nIn this visualization sea ice changes from day to day, with the amount of ice shown being determined by the AMSR2 sea ice concentration data. A running 3-day minimum is used, with a minimum threshhold concentration of 15%. The blueish white color of the sea ice is derived from a 3-day running minimum of the AMSR2 89 GHz brightness temperature. Over the terrain, monthly data from the seasonal Blue Marble Next Generation fades slowly from month to month.\n\nThe numerical portion of the frame filename begins with the four-digit year, followed by the three-digit day of the year for that frame.",
"instance": {
"id": 552038,
"url": "https://svs.gsfc.nasa.gov/vis/a000000/a005000/a005046/arctic_sea_ice.2022365_searchweb.png",
"filename": "arctic_sea_ice.2022365_searchweb.png",
"media_type": "Image",
"alt_text": "This visualization shows the daily Arctic sea ice and seasonal land cover change progressing through time, with a single frame rendered for each day (available from the drop-down of each image window), and an animation created from these frames. \n\nThe Japan Aerospace Exploration Agency (JAXA) provides many water-related products derived from data acquired by the Advanced Microwave Scanning Radiometer 2 (AMSR2) instrument aboard the Global Change Observation Mission 1st-Water \"SHIZUKU\" (GCOM-W1) satellite. Two JAXA datasets are used in this animation: the 10-km daily sea ice concentration and the 10 km daily 89 GHz Brightness Temperature.\n\nIn this visualization sea ice changes from day to day, with the amount of ice shown being determined by the AMSR2 sea ice concentration data. A running 3-day minimum is used, with a minimum threshhold concentration of 15%. The blueish white color of the sea ice is derived from a 3-day running minimum of the AMSR2 89 GHz brightness temperature. Over the terrain, monthly data from the seasonal Blue Marble Next Generation fades slowly from month to month.\n\nThe numerical portion of the frame filename begins with the four-digit year, followed by the three-digit day of the year for that frame.",
"width": 180,
"height": 320,
"pixels": 57600
}
},
{
"id": 411792,
"type": "media_group",
"extra_data": null,
"title": "Earth Observing Fleet - Now",
"caption": "This image shows the current orbits of NASA's fleet of Earth observing spacecraft. Satellite orbits are generated using today's two-line element sets (TLEs). This website is updated every 30 minutes. \n\nSpacecraft included:\n• Aqua\n• Aura\n• CALIPSO: Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation\n• CYGNSS-1: Cyclone Global Navigation Satellite System 1\n• CYGNSS-2: Cyclone Global Navigation Satellite System 2\n• CYGNSS-3: Cyclone Global Navigation Satellite System 3\n• CYGNSS-4: Cyclone Global Navigation Satellite System 4\n• CYNGSS-5: Cyclone Global Navigation Satellite System 5\n• CYGNSS-7: Cyclone Global Navigation Satellite System 7\n• CYGNSS-8: Cyclone Global Navigation Satellite System 8\n• Cloudsat\n• GPM: Global Precipitation Measurement\n• GRACE-FO-1: Gravity Recovery and Climate Experiment Follow On-1\n• GRACE-FO-2: Gravity Recovery and Climate Experiment Follow On-2\n• ICESat-2\n• ISS: International Space Station\n• Landsat 8\n• Landsat 9\n• OCO-2: Orbiting Carbon Observatory-2\n• SMAP: Soil Moisture Passive Active\n• Suomi NPP: Suomi National Polar-orbiting Partnership\n• Sentinel-6 Michael Freilich\n• SWOT\n• Terra\n\nThe clouds used in this version are from a high resolution GEOS model run at 10 minute time steps interpolated down to the per-frame level. The timeframe for this model does not match the date in this fleet visualization, so the clouds shown do not represent actual conditions for today.",
"instance": {
"id": 552410,
"url": "https://svs.gsfc.nasa.gov/vis/a000000/a005000/a005067/fleet_now_searchweb.png",
"filename": "fleet_now_searchweb.png",
"media_type": "Image",
"alt_text": "\nThese visualizations show the current orbits of NASA's fleet of Earth observing spacecraft. Satellite orbits are generated using today's two-line element sets (TLEs). The still image at the top of the page is updated every 10 minutes. The video is updated once per day. \n\nSpacecraft included:\n• Aqua\n• Aura\n• CALIPSO: Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation\n• CYGNSS-1: Cyclone Global Navigation Satellite System 1\n• CYGNSS-2: Cyclone Global Navigation Satellite System 2\n• CYGNSS-3: Cyclone Global Navigation Satellite System 3\n• CYGNSS-4: Cyclone Global Navigation Satellite System 4\n• CYNGSS-5: Cyclone Global Navigation Satellite System 5\n• CYGNSS-7: Cyclone Global Navigation Satellite System 7\n• CYGNSS-8: Cyclone Global Navigation Satellite System 8\n• Cloudsat\n• GPM: Global Precipitation Measurement\n• GRACE-FO-1: Gravity Recovery and Climate Experiment Follow On-1\n• GRACE-FO-2: Gravity Recovery and Climate Experiment Follow On-2\n• ICESat-2\n• ISS: International Space Station\n• Landsat 8\n• Landsat 9\n• OCO-2: Orbiting Carbon Observatory-2\n• SMAP: Soil Moisture Passive Active\n• Suomi NPP: Suomi National Polar-orbiting Partnership\n• Sentinel-6 Michael Freilich\n• SWOT\n• Terra\n\nThe clouds used in this version are from a high resolution GEOS model run at 10 minute time steps interpolated down to the per-frame level. The timeframe for this model does not match the date in this fleet visualization, so the clouds shown do not represent actual conditions for today.",
"width": 180,
"height": 320,
"pixels": 57600
}
},
{
"id": 411793,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 5113,
"url": "https://svs.gsfc.nasa.gov/5113/",
"page_type": "Visualization",
"title": "Active Fires As Observed by VIIRS, 2024-Present",
"description": "This animated visualization uses a moving five-day window of VIIRS measurments of fire radiative power (FRP), to present a view of fire intensities around the globe. || fires_frp_VIIRS.892_print.jpg (1024x512) [71.9 KB] || fires_frp_VIIRS.892_searchweb.png (320x180) [37.8 KB] || fires_frp_VIIRS.892_web.png (320x160) [33.5 KB] || fires_frp_VIIRS.892_thm.png (80x40) [4.3 KB] || fires_frp_VIIRS_2048p30.mp4 (4096x2048) [46.5 MB] || EIC (4096x2048) [824 Item(s)] || VIIRS_fires_latest.exr [7.0 MB] || ",
"release_date": "2024-03-01T14:00:00-05:00",
"update_date": "2026-01-31T19:30:19.947531-05:00",
"main_image": {
"id": 856615,
"url": "https://svs.gsfc.nasa.gov/vis/a000000/a005100/a005113/fires_frp_VIIRS.001_print.jpg",
"filename": "fires_frp_VIIRS.001_print.jpg",
"media_type": "Image",
"alt_text": "This animated visualization uses a moving five-day window of VIIRS measurments of fire radiative power (FRP), to present a view of fire intensities around the globe.",
"width": 1024,
"height": 512,
"pixels": 524288
}
}
},
{
"id": 411794,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 5070,
"url": "https://svs.gsfc.nasa.gov/5070/",
"page_type": "Visualization",
"title": "Nitrogen Dioxide Over the United States, 2005-2022",
"description": "NO2 over the United States as measured by OMI, with labels || NO2_US_2005-2022.399_print.jpg (1024x576) [171.6 KB] || NO2_US_2005-2022.399_searchweb.png (320x180) [80.6 KB] || NO2_US_2005-2022.399_thm.png (80x40) [5.9 KB] || w_dates (3840x2160) [0 Item(s)] || NO2_US_2005-2022_2160p30.mp4 (3840x2160) [20.0 MB] || NO2_US_2005-2022_2160p30.webm (3840x2160) [2.7 MB] || ",
"release_date": "2023-02-06T00:00:00-05:00",
"update_date": "2025-02-02T00:18:56.920071-05:00",
"main_image": {
"id": 552664,
"url": "https://svs.gsfc.nasa.gov/vis/a000000/a005000/a005070/NO2_US_2005-2022.399_print.jpg",
"filename": "NO2_US_2005-2022.399_print.jpg",
"media_type": "Image",
"alt_text": "NO2 over the United States as measured by OMI, with labels",
"width": 1024,
"height": 576,
"pixels": 589824
}
}
},
{
"id": 411795,
"type": "media_group",
"extra_data": null,
"title": "Arctic Sea Ice Minimum 2022",
"caption": "Satellite-based passive microwave images of the sea ice have provided a reliable tool for continuously monitoring changes in the Arctic ice since 1979. Every summer the Arctic ice cap melts down to what scientists call its \"minimum\" before colder weather begins to cause ice cover to increase. An analysis of satellite data by NASA and the National Snow and Ice Data Center (NSIDC) at the University of Colorado Boulder shows that the 2021 minimum extent, which was likely reached on Sept. 18, measured 1.80 million square miles (4.67 million square kilometers).\n\nThe Japan Aerospace Exploration Agency (JAXA) provides many water-related products derived from data acquired by the Advanced Microwave Scanning Radiometer 2 (AMSR2) instrument aboard the Global Change Observation Mission 1st-Water \"SHIZUKU\" (GCOM-W1) satellite. Two JAXA datasets used in this animation are the 10-km daily sea ice concentration and the 10 km daily 89 GHz Brightness Temperature.\n\nIn this animation, the daily Arctic sea ice and seasonal land cover change progress through time, from the yearly maximum ice extent on February 25 2022, through its minimum on September 18 2022. Over the water, Arctic sea ice changes from day to day showing a running 3-day minimum sea ice concentration in the region where the concentration is greater than 15%. The blueish white color of the sea ice is derived from a 3-day running minimum of the AMSR2 89 GHz brightness temperature. The yellow boundary shows the minimum extent averaged over the 30-year period from 1981 to 2010. Over the terrain, monthly data from the seasonal Blue Marble Next Generation fades slowly from month to month.",
"instance": {
"id": 369249,
"url": "https://svs.gsfc.nasa.gov/vis/a000000/a005000/a005030/sea_ice_2022_min_1080p60.03100_searchweb.png",
"filename": "sea_ice_2022_min_1080p60.03100_searchweb.png",
"media_type": "Image",
"alt_text": "Arctic Sea Ice Minimum 2022, Animation",
"width": 180,
"height": 320,
"pixels": 57600
}
},
{
"id": 411796,
"type": "media_group",
"extra_data": null,
"title": "Arctic Sea Ice Spiral",
"caption": "\nThis data visualization shows the Arctic sea ice extent from October 1978 to September 2022. The amount of Arctic sea ice varies seasonally, typically reaching a maximum in March and a minimum in September. Recently, the Arctic sea ice minimum has been decreasing at a rate of 13% per decade. Please see Global Climate Change Vital Signs: Arctic Sea Ice Minimum Extent for more information.",
"instance": {
"id": 369286,
"url": "https://svs.gsfc.nasa.gov/vis/a000000/a005000/a005028/Arctic_Spira_mi.01000_searchweb.png",
"filename": "Arctic_Spira_mi.01000_searchweb.png",
"media_type": "Image",
"alt_text": "A data visualization of the Arctic sea ice extent from October 1978 to September 2022. This version is in units of square miles, see below for version in square kilometers.",
"width": 180,
"height": 320,
"pixels": 57600
}
},
{
"id": 411797,
"type": "media_group",
"extra_data": null,
"title": "Annual Arctic Sea Ice Minimum Area 1979-2022",
"caption": "Satellite-based passive microwave images of the sea ice have provided a reliable tool for continuously monitoring changes in the Arctic ice since 1979. Every summer the Arctic ice cap melts down to what scientists call its \"minimum\" before colder weather begins to cause ice cover to increase. This graph displays the area of the minimum sea ice coverage each year from 1979 through 2022. In 2022, the Arctic minimum sea ice covered an area of 4.16 million square kilometers (1.6 million square miles). \n\nThis visualization shows the expanse of the annual minimum Arctic sea ice for each year from 1979 through 2022 as derived from passive microwave data.",
"instance": {
"id": 369069,
"url": "https://svs.gsfc.nasa.gov/vis/a000000/a005000/a005036/sea_ice_min_w_graph_2022.1199_print.jpg",
"filename": "sea_ice_min_w_graph_2022.1199_print.jpg",
"media_type": "Image",
"alt_text": "Arctic sea ice minimum area 1979-2022, with graph",
"width": 576,
"height": 1024,
"pixels": 589824
}
},
{
"id": 411798,
"type": "media_group",
"extra_data": null,
"title": "Fiona Becomes a Major Hurricane in the Atlantic",
"caption": "After leaving the Caribbean, Hurricane Fiona became both the strongest and the first major hurricane of the 2022 Atlantic hurricane season as it made its way northward through the western Atlantic. Fiona began as an African easterly wave that moved across the tropical Atlantic in the direction of the Caribbean. While still about 800 miles east of the Leeward Isles, this wave organized into a tropical depression on September 14th. Later that same day, the depression strengthened and became Tropical Storm Fiona. Fiona remained a moderate tropical storm as it passed through the Leeward Isles on the evening of the 16th near Guadeloupe with maximum sustained winds reported at 50 mph by the National Hurricane Center (NHC). After entering the northeastern Caribbean, Fiona took a west-northwest track in the direction of Puerto Rico and began to slowly intensify, becoming a Category 1 hurricane at 11 am (AST) on the 18th just before making landfall at 3:20 pm (AST) near Punta Tocon with maximum sustained winds estimated at 85 mph. After passing over the southwest tip of Puerto Rico, Fiona emerged over the Mona Passage before making landfall in the Dominican Republic early the next morning at 3:30 am AST on the 19th near Boca de Yuma with sustained winds of 90 mph.\r\n\r\nAfter passing over northeast Hispaniola, Fiona took a northwest track as it re-emerged into the Atlantic around midday on the 19th in the direction of the Turks and Caicos Islands. As it moved away from Hispaniola, Fiona was able to overcome some moderate southwesterly wind shear and began to intensify over warm waters, becoming a Category 2 storm later that afternoon. Early on the morning of the 20th at 2am (AST) , Fiona became a major Category 3 hurricane with sustained winds reported at 115 mph as it born down on Grand Turk Island. After passing near Grand Turk Island, Fiona intensified further becoming a Category 4 storm with sustained winds of 130 mph early on the morning of the 21st as it headed due north about 755 miles southwest of Bermuda. Fiona maintained its intensity throughout the day on the 21st as it continued northward over the open western Atlantic well east of the US East Coast. Fiona continued to maintain its intensity on the 22nd as it accelerated northward ahead of a deep upper-level trough of low pressure over the northeastern US, passing west and northwest of Bermuda.\r\n\r\nAround this time, at about 05:30 UTC (1:30 AST) on the morning of the 23rd, the GPM Core Observatory satellite passed over the center of Fiona when the center was located about 185 miles due west of Bermuda. Corresponding images of surface rain rates estimated from the GPM Microwave Imager (GMI) and Dual-frequency Precipitation Radar (DPR) (inner swath) show a large, intense outer rainband wrapping nearly completely around the storm well away from the center. This is generally separated by an area of weak rain with another area of more intense rain located closer to the center wrapping around the southern, eastern and western parts of the storm. This type of structure is generally characteristic of a large, intense storm that has passed its peak intensity. Over time, hurricane wind fields tend to expand away from the center. Echo top heights derived from the GPM DPR provide a 3D perspective of the precipitation within Fiona. The brighter red areas show that thunderstorms are still active in the southern and eastern portions of the eyewall and helping to maintain its intensity, which was still reported at 130 mph by NHC. However, soon after these images were taken, Fiona began to weaken due to the effects of increasing vertical wind shear. Fiona is forecast to continue to weaken and transition to a post tropical storm but remain near hurricane intensity as closes in on the Canadian Maritimes.",
"instance": {
"id": 435899,
"url": "https://svs.gsfc.nasa.gov/vis/a000000/a005000/a005035/Fiona0923L_001.4300_searchweb.png",
"filename": "Fiona0923L_001.4300_searchweb.png",
"media_type": "Image",
"alt_text": "Hurricane Fiona west of Bermuda on September 23, 2022 at 6:06 UTC.",
"width": 180,
"height": 320,
"pixels": 57600
}
},
{
"id": 411799,
"type": "media_group",
"extra_data": null,
"title": "Super Typhoon Nanmadol intensifies on its way to Japan",
"caption": "Super Typhoon Nanmadol became one of the strongest typhoons to threaten Japan since records began in 1951. Nanmadol began as a tropical disturbance, basically an area of active thunderstorms, on September 11th southeast of Iwo Jima about midway between Tokyo and Guam. After moving to the southwest for 2 days, this disturbance became better organized and formed into a depression on the 13th. The system then made a counterclockwise loop, moving first back to the northeast before turning back again towards the west. Over this time, the system slowly intensified, becoming Tropical Storm Nanmadol just before its westward turn. At this point, Nanmadol responded to a favorable environment, including sea surface temperatures (SSTs) in the area running 0.5 to over 1.0OC above normal due in part to the ongoing La Niña, and began to steadily intensify as it headed for the southern part of Japan, becoming a typhoon on the afternoon of the 15th, a category 3 typhoon on the morning of the 16th , and a category 4 super typhoon on the evening of the 16th with maximum sustained winds estimated at 150 mph by the Joint Typhoon Warning Center (JTWC). It was during this transition from typhoon to super typhoon, at 7:57 UTC (4:57 pm JST) 16 September, that the NASA / JAXA GPM Core Observatory satellite overflew Nanmadol, providing a detailed look into the storm’s structure.\r\n\r\nWith its array of active and passive sensors, the GPM Core Observatory satellite is ideal for monitoring and studying tropical cyclones. This data visualization shows Nanmadol in the West Pacific beginning on the 15th of September 2022 as the storm was moving northwest towards southern Japan, though still far from landfall. The animation first shows a time loop of surface rainfall estimates from NASA’s IMERG precipitation product overlaid on IR data from the CPC global cloud cover composite. At the start of the loop at 07:41 UTC, IMERG shows that Nanmadol is already a well-defined typhoon having a distinct eye with moderate to heavy rain wrapping completely around the center. IMERG also reveals the size of Nanmadol’s large cyclonic (counterclockwise) circulation with curved rainbands wrapping around the center of low pressure well away from the center in nearly all directions. Over the course the IMERG loop, Nanmadol strengthened from a category 1 typhoon to a category 4 super typhoon. \r\n \r\nThe second part of the visualization shows a detailed look into the structure and intensity of the precipitation within Nanmadol. Surface rainfall estimates from the GPM Microwave Imager (GMI) show heavy rain (in red) wrapping around the western and southern portions of the storm well away from the center as well as rainbands approaching the coast of Japan well to the north (green areas). GPM’s Dual-frequency Precipitation Radar (DPR) actively scanned the storm to provide a 3D perspective of its precipitation. Areas shaded in blue show frozen precipitation aloft. This is mainly in the form of snow but can also be graupel, which are rimed snow particles, and frozen drops, which are both present in the cores of active thunderstorms. Moreover, the structure and height to which these particles extend can provide additional information on future trends. The DPR shows that Nanmadol’s eyewall is both deep and complete, creating what is known as a “stadium effect” with a ring of tall towers surrounding a void in the center, which is the eye. This structure is only associated with mature and intense tropical cyclones and suggests Nanmadol will either maintain its intensity or strengthen. The tall towers result from strong thunderstorm updrafts generating and carrying the particles aloft. Associated with this are intense rain shafts (shown in magenta) that extend down towards the surface. Together these features suggest strong thunderstorms are actively releasing heat into Nanmadol’s core circulation and priming the storm for possible further intensification.\r\n\r\nAt the time of the GPM overpass, Nanmadol’s maximum sustained winds were estimated at 130 mph by JTWC. Just over 4 hours later at 1200 UTC September 16th, they were estimated at 150 mph, making Nanmadol a super typhoon. Nanmadol would go on to reach a peak intensity of 155 mph before starting to weaken as it neared the Japanese coast. Nanmadol made landfall on the 18th as a category 3 storm with sustained winds of around 110 mph near Kagoshima city on the island of Kyushu. Nanmadol then turned to the northeast and moved along the west coast of Honshu before crossing back out into the Pacific east of Japan. The storm has brought heavy rains to much of Japan and is so far being blamed for 2 deaths.",
"instance": {
"id": 435900,
"url": "https://svs.gsfc.nasa.gov/vis/a000000/a005000/a005026/Nanmadol_001.4300_searchweb.png",
"filename": "Nanmadol_001.4300_searchweb.png",
"media_type": "Image",
"alt_text": "Typhoon Nanmadol as it approaches Japan on September 16, 2022.",
"width": 180,
"height": 320,
"pixels": 57600
}
},
{
"id": 411800,
"type": "media_group",
"extra_data": null,
"title": "A Decade of Sea Surface Salinity",
"caption": "The heat of the sun forces evaporation at the ocean's surface, which puts water vapor into the atmosphere but leaves minerals and salts behind, keeping the ocean salty. The salinity of the ocean also varies from place to place, because evaporation varies based on the sea surface temperature and wind, rivers and rain storms inject fresh water into the ocean, and melting or freezing sea ice affects the salinity of polar waters.",
"instance": {
"id": 369648,
"url": "https://svs.gsfc.nasa.gov/vis/a000000/a005000/a005017/salinity_v48_8k.4653_searchweb.png",
"filename": "salinity_v48_8k.4653_searchweb.png",
"media_type": "Image",
"alt_text": "This data visualization shows sea surface salinity (i.e., ocean salt concentration) over a ten year period (2011 to 2021). Warm colors (orange to yellow) are areas of high salinity/hot tropics. Cooler colors (blue to violet) are fresher waters, many of which can be seen coming from rainy/river/wetter tropics.",
"width": 180,
"height": 320,
"pixels": 57600
}
},
{
"id": 411801,
"type": "media_group",
"extra_data": null,
"title": "20 years of AIRS Global Carbon Dioxide (CO₂) measurements (2002-May 2022)",
"caption": "This data visualization shows 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. One obvious feature that we see in the data is a continual increase in carbon dioxide with time, as seen in the shift in the color of the map from light yellow towards red as time progresses. Another feature is the seasonal variation of carbon dioxide in the northern hemisphere, which is governed by the growth cycle of plants. This can be seen as a pulsing in the colors, with a shift towards lighter colors starting in April/May each year and a shift towards red as the end of each growing season passes into winter. The seasonal cycle is more pronounced in the northern hemisphere than the southern hemisphere, since the majority of the land mass is in the north. \n\nThe visualization includes a data-driven spatial map of global carbon dioxide and a timeline on the bottom. The timeline showcases the monthly timestep and is paired with the adjusted carbon dioxide value. Areas where the air pressure is less than 750mB (areas of high-altitude) have been marked in the visualization as low data quality (striped) areas. This entry offers two versions of low data quality (stiped) areas. One version includes striped regions as they are calculated on data values and the second version features striped regions below 60 South.\n\n
\nData Sources:\n\n- Carbon Dioxide (CO2) from the Sounder SIPS: AQUA AIRS IR-only Level 3 CLIMCAPS: Comprehensive Quality Control Gridded Monthly V2 (SNDRAQIL3CMCCP), which is a monthly product of global coverage and of spatial resolution 1x1 degrees.\n\nThe visualizations included on this page, utilize the variable co2_vmr_uppertop from the CLIMCAPS product. Areas where the air pressure is less than 750mB (areas of high-altitude) and below 60 degrees South have been marked in the visualization as low data quality (striped areas). In addition, areas with data gaps and of high altitude less than 5% of the resolution of the product have been filled using the nearest neighbor algorithm.\n\r\nCitation: Chris Barnet (2019), Sounder SIPS: AQUA AIRS IR-only Level 3 CLIMCAPS: Comprehensive Quality Control Gridded Monthly V2, Greenbelt, MD, USA, Goddard Earth Sciences Data and Information Services Center (GES DISC), Accessed: [September 9, 2022], doi: 10.5067/ZPZ430KOPMIX
\n- Trends in Atmospheric Carbon Dioxide by NOAA. The visualizations on this page feature de-seasonalized mean value measurements from the Mauna Loa CO2 monthly mean data for the period September 2002-May 2022, Accessed: [September 9 2022]. \r\n\r\nCitation: Dr. Pieter Tans, NOAA/GML (gml.noaa.gov/ccgg/trends/) and Dr. Ralph Keeling, Scripps Institution of Oceanography (scrippsco2.ucsd.edu).\r\n\r\nCitation: Keeling, Ralph F; Keeling, Charles D. (2017). Atmospheric Monthly In Situ CO2 Data - Mauna Loa Observatory, Hawaii (Archive 2021-09-07). In Scripps CO2 Program Data. UC San Diego Library Digital Collections. https://doi.org/10.6075/J08W3BHW
\n- Continental and country outlines from the Scientific Visualization Studio, NASA/GSFC.
\n
The rest of this webpage offers custom versions for web, HD and 4K display systems.\n
climate.nasa.gov\nThis section contains assets designed for climate.nasa.gov\n\n
HD content\nAdditional visualization content in HD resolution.\n\n
4K content\n\n
Colormap\nThe following section contains colormap information.\n",
"instance": {
"id": 369361,
"url": "https://svs.gsfc.nasa.gov/vis/a000000/a005000/a005025/5025_airs_co2_720x405_searchweb.png",
"filename": "5025_airs_co2_720x405_searchweb.png",
"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": 180,
"height": 320,
"pixels": 57600
}
},
{
"id": 411802,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 4993,
"url": "https://svs.gsfc.nasa.gov/4993/",
"page_type": "Visualization",
"title": "Spread of the Dixie Fire - 2021",
"description": "This visualization shows the spread of the Dixie fire between July 14 and October 22, 2021, updated every 12 hours based on new satellite active fire detections. The yellow outlines track the position of the active fire lines for the last 60 hours, with the latest location of the fire front in the brightest shade of yellow. The red points show the location of active fire detections, while the grey region shows the estimated total area burned. The graph shows the cumulative burned area in square kilometers.Coming soon to our YouTube channel. || Dixie_fire_2021.7135_print.jpg (1024x576) [369.5 KB] || Dixie_fire_2021.7135_searchweb.png (320x180) [139.8 KB] || Dixie_fire_2021.7135_thm.png (80x40) [8.3 KB] || Dixie_fire_2021_p30_1080p30.mp4 (1920x1080) [172.9 MB] || Dixie_fire_2021_1080p60.mp4 (1920x1080) [190.8 MB] || 3840x2160_16x9_60p (3840x2160) [0 Item(s)] || captions_silent.32827.en_US.srt [43 bytes] || Dixie_fire_2021_p30_2160p30.mp4 (3840x2160) [477.6 MB] || Dixie_fire_2021_2160p60.mp4 (3840x2160) [513.8 MB] || Dixie_fire_2021_p30_1080p30.mp4.hwshow || Dixie_fire_animation_only_2021_1080p60.hwshow || ",
"release_date": "2022-06-01T09:00:00-04:00",
"update_date": "2025-06-23T00:13:43.248481-04:00",
"main_image": {
"id": 371837,
"url": "https://svs.gsfc.nasa.gov/vis/a000000/a004900/a004993/Dixie_fire_2021.7135_print.jpg",
"filename": "Dixie_fire_2021.7135_print.jpg",
"media_type": "Image",
"alt_text": "This image shows the spread of the Dixie fire between July 14 and October 22, 2021, with the fire line for each 12-hour step in time shown in a different color.",
"width": 1024,
"height": 576,
"pixels": 589824
}
}
},
{
"id": 411803,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 4992,
"url": "https://svs.gsfc.nasa.gov/4992/",
"page_type": "Visualization",
"title": "Spread of the Caldor Fire - 2021",
"description": "This visualization shows the spread of the Caldor fire between August 15 and October 6, 2021, updated every 12 hours based on new satellite active fire detections. The yellow outlines track the position of the active fire lines for the last 60 hours, with the latest location of the fire front in the brightest shade of yellow. The red points show the location of active fire detections, while the grey region shows the estimated total area burned. The graph shows the cumulative burned area in square kilometers.Coming soon to our YouTube channel. || Caldor_fire_2021.6540_print2.jpg (1024x576) [371.6 KB] || Caldor_fire_2021_p30_1080p30.mp4 (1920x1080) [107.8 MB] || Caldor_fire_2021_1080p60.mp4 (1920x1080) [123.2 MB] || 3840x2160_16x9_60p (3840x2160) [0 Item(s)] || captions_silent.32783.en_US.srt [43 bytes] || Caldor_fire_2021_p30_2160p30.mp4 (3840x2160) [356.4 MB] || Caldor_fire_2021_2160p60.mp4 (3840x2160) [383.8 MB] || firespread02.hwshow || Caldor_fire_2021_p30_1080p30.mp4.hwshow || ",
"release_date": "2022-06-01T09:00:00-04:00",
"update_date": "2025-06-23T00:13:41.498157-04:00",
"main_image": {
"id": 371889,
"url": "https://svs.gsfc.nasa.gov/vis/a000000/a004900/a004992/Caldor_fire_2021.6540_print2.jpg",
"filename": "Caldor_fire_2021.6540_print2.jpg",
"media_type": "Image",
"alt_text": "This visualization shows the spread of the Caldor fire between August 15 and October 6, 2021, updated every 12 hours based on new satellite active fire detections. The yellow outlines track the position of the active fire lines for the last 60 hours, with the latest location of the fire front in the brightest shade of yellow. The red points show the location of active fire detections, while the grey region shows the estimated total area burned. The graph shows the cumulative burned area in square kilometers.Coming soon to our YouTube channel.",
"width": 1024,
"height": 576,
"pixels": 589824
}
}
},
{
"id": 411804,
"type": "media_group",
"extra_data": null,
"title": "Carbon Emissions from Fires: Jan 2003 - Jan 2022",
"caption": "\nThis visualization uses the Global Fire Emissions Database version 4 to show the weekly carbon emissions from fires from January 2003 through January 2022. The data has a spatial resolution of 0.25 degrees in both latitude and longitude. The monthly fire carbon emissions with small fires from the GFED4s dataset was multiplied by the daily fractional contribution to get the daily carbon emission. This was summed over each 7-day period beginning on January 1st each year. Day of year 365 (and day 366 in leap years) was not included. \n\nThe perceptually uniform color scales used in this visualization were developed by Peter Koversi and are available here. See Peter Kovesi. Good Colour Maps: How to Design Them. arXiv:1509.03700 [cs.GR] 2015 for additional information.\n\n\n\n\n
\nScience On a Sphere Content\nThe following section contains assets designed for Science On a Sphere and related displays.\n\nSOS playlist file: playlist.sos \nSOS label file: labels.txt\n\n\n",
"instance": {
"id": 369945,
"url": "https://svs.gsfc.nasa.gov/vis/a000000/a005000/a005012/Carbon_emissions_with_overlay.6067_searchweb.png",
"filename": "Carbon_emissions_with_overlay.6067_searchweb.png",
"media_type": "Image",
"alt_text": "This visualization protrays the weekly carbon emissions from fires between January 2003 and January 2022. A colorbar indicates the quantity of carbon emitted in each square meter during a week.",
"width": 180,
"height": 320,
"pixels": 57600
}
},
{
"id": 411805,
"type": "media_group",
"extra_data": null,
"title": "Trends in Global Atmospheric Methane (CH₄)",
"caption": "\n\nData Sources:
\n- Trends in Athmospheric Methane by NOAA. The visualizations featured on this page utilize the complete record from the Globally averaged marine surface monthly mean data for the period July 1983-March 2022 (accessed: August 4, 2022). Within the data record the globally averaged monthly mean values are centered on the middle of each month and are represented in the visualization as the jagged/wavy Average line. The continuous line shows the long-term Trend, where the average seasonal cycle has been removed.
\nCitation: Ed Dlugokencky, NOAA/GML (https://gml.noaa.gov/ccgg/trends_ch4/)
\nCitation: Dlugokencky, E. J., L. P. Steele, P. M. Lang, and K. A. Masarie (1994), The growth rate and distribution of atmospheric methane, J. Geophys. Res., 99, 17,021– 17,043, doi:10.1029/94JD01245.\n \n
",
"instance": {
"id": 369810,
"url": "https://svs.gsfc.nasa.gov/vis/a000000/a005000/a005007/MethaneTrends_Dark_3840x216030p.1512_searchweb.png",
"filename": "MethaneTrends_Dark_3840x216030p.1512_searchweb.png",
"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": 180,
"height": 320,
"pixels": 57600
}
},
{
"id": 411806,
"type": "media_group",
"extra_data": null,
"title": "Drought in the Horn of Africa",
"caption": "According to a July 29 2022 report from the International Food Security and Nutrition Working Group, the worst drought conditions in 70 years across the Horn of Africa have more than 16 million people coping with a shortage of drinking water. Yields of key crops are down for the third year in a row, milk production is in decline, and more than 9 million livestock animals have been lost due to a lack of water and suitable forage land. At the same time, regional conflicts, COVID-19, locusts, and the Ukraine War have caused price spikes and shortages of basic commodities. An estimated 18 to 21 million people now \"face high levels of acute food insecurity\" in Ethiopia, Kenya, and Somalia.\n\nThese animations depict root zone and surface soil moisture observations and forecasts from the NASA Hydrological Forecast and Analysis System (NHyFAS). Reds depict areas with soil moisture percentages below the average, while blues reflect areas that are above average (often due to passing storms). The first 27 seconds of the animation show soil moisture from August 2020 through June 2022. The final 10 seconds show forecasts for July through December 2022, including the next rainy season. Root zone moisture is critical for long term crop growth. New seedlings are mostly dependent on surface water, but then as plants grow and sink deeper roots, they are sustained by moisture in the top layer of the soil.",
"instance": {
"id": 369782,
"url": "https://svs.gsfc.nasa.gov/vis/a000000/a005000/a005014/soil_moisture_root_zone_HoA_2022_1080p30.01200_searchweb.png",
"filename": "soil_moisture_root_zone_HoA_2022_1080p30.01200_searchweb.png",
"media_type": "Image",
"alt_text": "Root zone soil moisture, Aug 2020 to Dec 2022",
"width": 180,
"height": 320,
"pixels": 57600
}
},
{
"id": 411807,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 4971,
"url": "https://svs.gsfc.nasa.gov/4971/",
"page_type": "Visualization",
"title": "Monitoring Changing Waters using the Gulf of Maine Atlantic Time Series (GNATS)",
"description": "Visualization of 20 years of data from the Gulf of Maine North Atlantic Time Series (GNATS). The data shown are temperatures at the water's surface and below the surface. Satellite based sea surface temperatures are also shown. This version does not include date or color bar overlays. || ship_tracks.00341_FINAL_RfH24.3_H19_2022-02-23_1458.02970_print.jpg (1024x576) [149.8 KB] || ship_tracks.00341_FINAL_RfH24.3_H19_2022-02-23_1458.02970_thm.png (80x40) [6.1 KB] || ship_tracks.00341_FINAL_RfH24.3_H19_2022-02-23_1458.02970_searchweb.png (320x180) [73.4 KB] || ship_tracks.00341_FINAL_RfH24.3_H19_2022-02-23_1458.02970_web.png (320x180) [73.4 KB] || ship_tracks.00341_FINAL_RfH24.3_H19_2022-02-23_1458_1080p29.97.mp4 (1920x1080) [76.4 MB] || ship_tracks.00341_FINAL_RfH24.3_H19_2022-02-23_1458_1080p29.97.webm (1920x1080) [12.0 MB] || 3840x2160_16x9_60p (3840x2160) [1.0 MB] || 9600x3240_16x9_30p (9600x3240) [1.0 MB] || ship_tracks.00341_FINAL_RfH24.3_H19_2022-02-23_1458_2160p59.94.mp4 (3840x2160) [249.3 MB] || preview_5x3_hyperwall_gulf_of_maine.mp4 (2400x810) [129.1 MB] || ",
"release_date": "2022-06-07T10:00:00-04:00",
"update_date": "2024-10-06T23:06:26.915476-04:00",
"main_image": {
"id": 372746,
"url": "https://svs.gsfc.nasa.gov/vis/a000000/a004900/a004971/gnats_gulf_of_maine_date_overlay.06600_print.jpg",
"filename": "gnats_gulf_of_maine_date_overlay.06600_print.jpg",
"media_type": "Image",
"alt_text": "An overlay with the month and year corresponding to the data shown in every frame",
"width": 1024,
"height": 288,
"pixels": 294912
}
}
},
{
"id": 411808,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 4976,
"url": "https://svs.gsfc.nasa.gov/4976/",
"page_type": "Visualization",
"title": "Seaflow Search for Prochlorococcus",
"description": "Overview of data collected from research ship paths through the north Pacific Ocean measuring the phytoplankton species Prochlorococcus with an instrument called Seaflow. Additionally, results from the Darwin global ocean ecosystem computer model show interactions between Prochlorococcus, a copiotrophic heterotrophic bacteria and a shared grazer that limits the poleward extent of Prochlorococcus. || cruise_2-25-2022b_2022-02-25_1746.01500_print.jpg (1024x576) [71.2 KB] || cruise_2-25-2022b_2022-02-25_1746.01500_searchweb.png (320x180) [34.3 KB] || cruise_2-25-2022b_2022-02-25_1746.01500_thm.png (80x40) [3.4 KB] || cruise_2-25-2022b_2022-02-25_1746.webm (1920x1080) [12.8 MB] || annotated (1920x1080) [256.0 KB] || withAnnotation (3840x2160) [256.0 KB] || cruise_2-25-2022b_2022-02-25_1746.mp4 (1920x1080) [179.4 MB] || seaflowCruise_4k_3-31-2022b_2022-03-31_1056_2160p30.mp4 (3840x2160) [531.2 MB] || cruise_2-25-2022b_2022-02-25_1746.mp4.hwshow [238 bytes] || ",
"release_date": "2022-04-13T10:00:00-04:00",
"update_date": "2024-10-10T00:13:12.291577-04:00",
"main_image": {
"id": 371949,
"url": "https://svs.gsfc.nasa.gov/vis/a000000/a004900/a004976/cruise_2-25-2022b_2022-02-25_1746.01500_print.jpg",
"filename": "cruise_2-25-2022b_2022-02-25_1746.01500_print.jpg",
"media_type": "Image",
"alt_text": "Overview of data collected from research ship paths through the north Pacific Ocean measuring the phytoplankton species Prochlorococcus with an instrument called Seaflow. Additionally, results from the Darwin global ocean ecosystem computer model show interactions between Prochlorococcus, a copiotrophic heterotrophic bacteria and a shared grazer that limits the poleward extent of Prochlorococcus.",
"width": 1024,
"height": 576,
"pixels": 589824
}
}
},
{
"id": 411809,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 4960,
"url": "https://svs.gsfc.nasa.gov/4960/",
"page_type": "Visualization",
"title": "A 3D View of an Atmospheric River from an Earth System Model",
"description": "Narrated atmospheric rivers movie. || atmos_rivers_narrated_4k.00090_print.jpg (1024x576) [88.5 KB] || atmos_rivers_narrated_4k.00090_print_searchweb.png (320x180) [46.0 KB] || atmos_rivers_narrated_HD.webm (1920x1080) [68.6 MB] || atmos_rivers_narrated_HD.mp4 (1920x1080) [410.9 MB] || atmos_river_narrated_4k.en_US.srt [6.3 KB] || atmos_river_narrated_4k.en_US.vtt [6.3 KB] || atmos_rivers_4k.en_US.vtt [6.3 KB] || atmos_rivers_narrated_4k.mp4 (3840x2160) [646.9 MB] ||",
"release_date": "2022-01-25T14:00:00-05:00",
"update_date": "2025-04-23T17:09:14.695315-04:00",
"main_image": {
"id": 374448,
"url": "https://svs.gsfc.nasa.gov/vis/a000000/a004900/a004960/atmos_rivers_narrated_4k.00090_print.jpg",
"filename": "atmos_rivers_narrated_4k.00090_print.jpg",
"media_type": "Image",
"alt_text": "Narrated atmospheric rivers movieComing soon to our YouTube channel.",
"width": 1024,
"height": 576,
"pixels": 589824
}
}
},
{
"id": 411810,
"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": 411811,
"type": "media_group",
"extra_data": null,
"title": "NASA Climate Spiral 1880-2022",
"caption": "The visualization presents monthly global temperature anomalies between the years 1880-2022. Temperature anomalies are deviations from a long term global avergage. 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 publically accessible here.\n\nThe term 'climate spiral' describes an animated radial plot of global temperatures. Climate scientist Ed Hawkins from the National Centre for Atmospheric Science, University of Reading popularized this style of visualization in 2016.\n\nThe Goddard Institute of Space Studies (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.",
"instance": {
"id": 551997,
"url": "https://svs.gsfc.nasa.gov/vis/a000000/a005000/a005057/GISTEMP_Spiral_60sec_C.01400_searchweb.png",
"filename": "GISTEMP_Spiral_60sec_C.01400_searchweb.png",
"media_type": "Image",
"alt_text": "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.",
"width": 180,
"height": 320,
"pixels": 57600
}
},
{
"id": 411812,
"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": "2025-03-16T22:57:07.576807-04:00",
"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": 411813,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 5091,
"url": "https://svs.gsfc.nasa.gov/5091/",
"page_type": "Visualization",
"title": "Arctic Sea Ice Maximum 2023",
"description": "Arctic sea ice maximum, March 6, 2023 || sea_ice_max_2023_print.jpg (1024x576) [125.9 KB] || sea_ice_max_2023.png (3840x2160) [6.2 MB] || sea_ice_max_2023_searchweb.png (320x180) [73.5 KB] || sea_ice_max_2023_thm.png (80x40) [6.0 KB] || ",
"release_date": "2023-03-15T13:00:00-04:00",
"update_date": "2023-05-03T11:43:39.745269-04:00",
"main_image": {
"id": 789294,
"url": "https://svs.gsfc.nasa.gov/vis/a000000/a005000/a005091/sea_ice_max_2023_print.jpg",
"filename": "sea_ice_max_2023_print.jpg",
"media_type": "Image",
"alt_text": "Arctic sea ice maximum, March 6, 2023",
"width": 1024,
"height": 576,
"pixels": 589824
}
}
},
{
"id": 411814,
"type": "media_group",
"extra_data": null,
"title": "Impact of Climate Change on Global Agricultural Yields",
"caption": "Climate change will affect agricultural production worldwide. Average global crop yields for maize, or corn, may see a decrease of 24% by late century, if current climate change trends continue. Wheat, in contrast, may see an uptick in crop yields by about 17%. The change in yields is due to the projected increases in temperature, shifts in rainfall patterns and elevated surface carbon dioxide concentrations due to human-caused greenhouse gas emissions, making it more difficult to grow maize in the tropics and expanding wheat’s growing range.\n\nMaize is grown all over the world, and large quantities are produced in countries nearer the equator. North and Central America, West Africa, Central Asia, Brazil and China will potentially see their maize yields decline in the coming years and beyond as average temperatures rise across these breadbasket regions, putting more stress on the plants.\n\nWheat, which grows best in temperate climates, may see a broader area where it can be grown in places such as the northern United States and Canada, North China Plains, Central Asia, southern Australia and East Africa as temperatures rise, but these gains may level off mid-century.\n\nTemperature alone is not the only factor the models consider when simulating future crop yields. Higher levels of carbon dioxide in the atmosphere have a positive effect on photosynthesis and water retention, more so for wheat than maize, which are accounted for better in the new generation of models. Rising global temperatures are linked with changes in rainfall patterns and the frequency and duration of heat waves and droughts. They also affect the length of growing seasons and accelerate crop maturity.\n\nTo arrive at their projections, the research team used two sets of models. First, they used climate model simulations from the international Climate Model Intercomparison Project-Phase 6 (CMIP6). Each of the five climate models runs its own unique response of Earth’s atmosphere to greenhouse gas emission scenarios through 2100.\n\nThen the research team used the climate model simulations as inputs for 12 state-of-the-art global crop models that are part of the Agricultural Model Intercomparison Project (AgMIP), creating in total about 240 global climate-crop model simulations for each crop. By using multiple climate and crop models in various combinations, the researchers were able to be more confident in their results.",
"instance": {
"id": 372667,
"url": "https://svs.gsfc.nasa.gov/vis/a000000/a004900/a004974/AgMapMaize.00900_searchweb.png",
"filename": "AgMapMaize.00900_searchweb.png",
"media_type": "Image",
"alt_text": "Data visualization of predicted wheat and maize yields through the end of this centaury based on an ensemble of crop and climate models.",
"width": 180,
"height": 320,
"pixels": 57600
}
},
{
"id": 411815,
"type": "media_group",
"extra_data": null,
"title": "Global Temperature Anomalies from 1880 to 2021",
"caption": "Earth’s global average surface temperature in 2021 tied with 2018 as the sixth warmest on record, according to independent analyses done by NASA and NOAA.\r\n \r\nContinuing the planet’s long-term warming trend, global temperatures in 2021 were 1.5 degrees Fahrenheit (or 0.85 degrees Celsius) above the average for NASA’s baseline period, according to scientists at NASA’s Goddard Institute for Space Studies (GISS) in New York.\r\n\r\nCollectively, the past eight years are the top eight warmest years since modern record keeping began in 1880. This annual temperature data makes up the global temperature record – and it’s how scientists know that the planet is warming.\r\n\nGISS 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.\r\n\r\nFor more information about NASA’s Earth science missions, visit: \r\nhttps://www.nasa.gov/earth",
"instance": {
"id": 373797,
"url": "https://svs.gsfc.nasa.gov/vis/a000000/a004900/a004964/2021f-TemperatureAnomalyF.0900_searchweb.png",
"filename": "2021f-TemperatureAnomalyF.0900_searchweb.png",
"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": 180,
"height": 320,
"pixels": 57600
}
},
{
"id": 411816,
"type": "media_group",
"extra_data": null,
"title": "Increasingly Dangerous Climate for Agricultural Workers",
"caption": "A warming climate will create challenges for agricultural workers as well as the crops which they grow. This visualization shows the increased number of days per year that are expected to have a NOAA Heat Index greater than 103 degrees Fahrenheit, a threshold that NOAA labels ‘dangerous’ given that people struggle to regulate their body temperatures at this level of heat and humidity. These results are from an ensemble of 22 global climate models from the Sixth Coupled Model Intercomparison Project (CMIP6) bias-adjusted by the NASA Earth Exchange (NEX GDDP). Two projections are visualized, one for a moderate emissions climate scenerio (SSP2-4.5) and one for a high emmissions climate scenerio (SSP5-8.5).",
"instance": {
"id": 372693,
"url": "https://svs.gsfc.nasa.gov/vis/a000000/a004900/a004972/AgWorkerClimateGraph_4k.00899_searchweb.png",
"filename": "AgWorkerClimateGraph_4k.00899_searchweb.png",
"media_type": "Image",
"alt_text": "A warming climate will create challenges for agricultural workers. This visualization shows the increased number of days per year that are expected to have a NOAA Heat Index greater than 103 degrees Fahrenheit based on two different climate scenarios (SSP2-4.5 and SSP5-8.5). The visualization also plots the number of days exceeding this threshold for five select locations in the United States. The map projection in Robinson and the color map is cividis.",
"width": 180,
"height": 320,
"pixels": 57600
}
},
{
"id": 411817,
"type": "media_group",
"extra_data": null,
"title": "Global Carbon Dioxide 2020-2021",
"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. \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. \n\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.\n\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.\n
\r\nData Sources:\r\n\r\n- Volumetric Carbon Dioxide extracted from NASA's Goddard Earth Observing System (GEOS) model, which is produced by the Global Modeling and Assimilation Office. The visualization featured on this page utilizes 3-hourly data for the period June 1, 2020-July 31, 2021.
\r\n- Blue Marble: Next Generation was produced by Reto Stöckli, NASA Earth Observatory (NASA Goddard Space Flight Center). Citation: Reto Stöckli, Eric Vermote, Nazmi Saleous, Robert Simmon and David Herring. \r\nThe Blue Marble Next Generation – A true color earth dataset including seasonal dynamics from MODIS, October 17, 2005. The visualization on this page utilizes monthly Blue Marble data to map the water and land bodies around the globe and show seasonal changes.
\r\n- Sea ice for the Arctic and Antarctic regions, provided by the Japan Aerospace Exploration Agency (JAXA), by utilizing GCOMP-W/AMSR2 10 km Level 3 daily Sea Ice Concentration (SIC) and GCOMP-W/AMSR2 10 km Level 3 daily 89 GHz Brightness Temperature (BT) data for the period June 1, 2020-July 31, 2021.
\r\n- Global 30 Arc-Second Elevation (GTOPO 30) from U.S. Geological Survey (USGS). GTOPO30 is a global raster digital elevation model (DEM) with a horizontal grid spacing of 30 arc seconds (approximately 1 kilometer). GTOPO30 was derived from several raster and vector sources of topographic information. The data-driven visualization featured on this page utilizes the GTOPO30 model to represent the three-dimensional features of over land terrain and submarine topography world-wide. doi: 10.5066/F7DF6PQS.
\n
",
"instance": {
"id": 375933,
"url": "https://svs.gsfc.nasa.gov/vis/a000000/a004900/a004949/CO2Volumetric_1024x576_02582_searchweb.png",
"filename": "CO2Volumetric_1024x576_02582_searchweb.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": 180,
"height": 320,
"pixels": 57600
}
},
{
"id": 411818,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 31166,
"url": "https://svs.gsfc.nasa.gov/31166/",
"page_type": "Visualization",
"title": "GRACE and GRACE-FO polar ice mass loss",
"description": "The mass of the Polar ice sheets have changed over the last decades. Research based on observations from the Gravity Recovery and Climate Experiment (GRACE) satellites (2002-2017) and GRACE Follow-On (since 2018 - ) indicates that between 2002 and 2025, Antarctica shed approximately 135 gigatons of ice per year, causing global sea level to rise by 0.4 millimeters per year; and Greenland shed approximately 264 gigatons of ice per year, causing global sea level to rise by 0.8 millimeters per year.",
"release_date": "2024-03-08T00:00:00-05:00",
"update_date": "2025-12-11T19:56:28.853816-05:00",
"main_image": {
"id": 1195078,
"url": "https://svs.gsfc.nasa.gov/vis/a030000/a031100/a031166/ais_gris_202503_black_with_vel.jpg",
"filename": "ais_gris_202503_black_with_vel.jpg",
"media_type": "Image",
"alt_text": "Animation showing Antarctic and Greenland icesheet mass losses between 2002 and 2025. Has icesheet flowlines.",
"width": 960,
"height": 540,
"pixels": 518400
}
}
},
{
"id": 411819,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 31156,
"url": "https://svs.gsfc.nasa.gov/31156/",
"page_type": "Visualization",
"title": "Greenland Ice Mass Loss 2002-2025",
"description": "The mass of the Greenland ice sheet has rapidly declined in the last several years due to surface melting and iceberg calving. Research based on observations from the Gravity Recovery and Climate Experiment (GRACE) satellites (2002-2017) and GRACE Follow-On (since 2018 - ) indicates that between 2002 and 2023, Greenland shed approximately 264 gigatons of ice per year, causing global sea level to rise by 0.03 inches (0.8 millimeters) per year.",
"release_date": "2024-03-08T00:00:00-05:00",
"update_date": "2025-12-11T19:56:58.637406-05:00",
"main_image": {
"id": 1195063,
"url": "https://svs.gsfc.nasa.gov/vis/a030000/a031100/a031156/gris_202503_black_with_vel.jpg",
"filename": "gris_202503_black_with_vel.jpg",
"media_type": "Image",
"alt_text": "Animation showing Greenland icesheet mass losses between 2002 and 2023. Has superimposed ice sheet velocity streamlines.",
"width": 960,
"height": 540,
"pixels": 518400
}
}
},
{
"id": 411820,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 31158,
"url": "https://svs.gsfc.nasa.gov/31158/",
"page_type": "Visualization",
"title": "Antarctic Ice Mass Loss 2002-2025",
"description": "The mass of the Antarctic ice sheet has changed over the last decades. Research based on observations from the Gravity Recovery and Climate Experiment (GRACE) satellites (2002-2017) and GRACE Follow-On (since 2018 - ).",
"release_date": "2024-03-08T17:00:00-05:00",
"update_date": "2025-12-11T19:56:58.637397-05:00",
"main_image": {
"id": 1195048,
"url": "https://svs.gsfc.nasa.gov/vis/a030000/a031100/a031158/ais_202503_black_with_vel.jpg",
"filename": "ais_202503_black_with_vel.jpg",
"media_type": "Image",
"alt_text": "Animation showing Antarctic icesheet mass losses between 2002 and 2025. Has superimposed ice sheet velocity streamlines.",
"width": 960,
"height": 540,
"pixels": 518400
}
}
},
{
"id": 411821,
"type": "media_group",
"extra_data": null,
"title": "NASA/JAXA GPM Satellite Examines Hurricane Ida's Eye",
"caption": "Hurricane Ida struck southeast Louisiana as a powerful Category 4 storm on Sunday, Aug. 29, 2021- the 16th anniversary of Hurricane Katrina’s landfall in 2005. Ida brought destructive storm surge, high winds, and heavy rainfall to the region, and left over 1 million homes and businesses without power, including the entire city of New Orleans.\n\r\nThe NASA / JAXA GPM Core Observatory satellite flew over the eye of Ida shortly before landfall at 10:13 a.m. CDT (1513 UTC), capturing data on the structure and intensity of precipitation within the storm. This animation shows NASA's IMERG multi-satellite precipitation estimates and NOAA GOES-E satellite cloud data, followed by 3D data from the GPM Core satellite. NASA processed these observations in near real-time and made them available to a wide range of users including weather agencies and researchers.\n\r\nAfter Ida passed over Cuba as a Category 1 storm, it intensified rapidly to reach Category 4 strength near its Louisiana landfall. According to the National Hurricane Center (NHC), Ida's central pressure reached a minimum of 929 hPa with a 15 nautical mile (17 statute mile) wide eye. At the time, Ida had its lifetime-maximum wind speed of 130 kt (150 mph) in the eyewall shortly before 10 a.m. CDT on Aug. 29.\n\r\nThe 3D Dual-frequency Precipitation Radar (DPR) data collected by the GPM Core satellite shows a healthy hurricane inner core in Ida. The small 17-mile-diameter eyewall is surrounded by a nearly complete outer ring of precipitation approximately 85 miles in diameter. Beyond this central structure, an arc of precipitation exists another 40 miles further from the eye to the southeast. The eye hosts many clouds extending well above 6 miles (10 km), which indicates that Ida was still actively growing at the time of this overpass. \n\r\nNASA continues to monitor Ida as it moves north over the southeastern U.S., providing Earth-observing satellite data, maps and analysis to stakeholders to aid response and recovery efforts.\n\r\nGet the latest updates on Hurricane Ida from the National Hurricane Center (NHC).\n\r\nLearn more about how NASA monitors hurricanes. \n\nGPM data is archived at https://pps.gsfc.nasa.gov/",
"instance": {
"id": 440359,
"url": "https://svs.gsfc.nasa.gov/vis/a000000/a004900/a004933/ida2001.4300_searchweb.png",
"filename": "ida2001.4300_searchweb.png",
"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": 180,
"height": 320,
"pixels": 57600
}
},
{
"id": 411822,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 4877,
"url": "https://svs.gsfc.nasa.gov/4877/",
"page_type": "Visualization",
"title": "Ecological insights from three decades of animal movement tracking across a changing Arctic",
"description": "Animal movement tracking across the arctic on top of seasonal natural phenomena like changing vegetation, snow (white), and sea ice (light purple).This video is also available on our YouTube channel. || migration_final_024.1000_print.jpg (1024x576) [74.8 KB] || migration_final_024.1000_print_print.jpg (1024x576) [36.9 KB] || migration_final_024.1000_print_searchweb.png (320x180) [52.6 KB] || migration_final_024.1000_print_web.png (320x180) [52.6 KB] || migration_final_024.1000_print_thm.png (80x40) [4.3 KB] || migration_final_024_1080p59.94.webm (1920x1080) [17.1 MB] || migration_final_024_1080p59.94.mp4 (1920x1080) [103.0 MB] || north_america (3840x2160) [0 Item(s)] || captions_silent.30466.en_US.srt [43 bytes] || migration_final_024_2160p59.94.mp4 (3840x2160) [297.5 MB] || migration_final_024_1080p.hwshow [83 bytes] || ",
"release_date": "2021-04-05T15:30:00-04:00",
"update_date": "2025-04-16T13:57:31.323471-04:00",
"main_image": {
"id": 381328,
"url": "https://svs.gsfc.nasa.gov/vis/a000000/a004800/a004877/migration_final_024.1000_print.jpg",
"filename": "migration_final_024.1000_print.jpg",
"media_type": "Image",
"alt_text": "Animal movement tracking across the arctic on top of seasonal natural phenomena like changing vegetation, snow (white), and sea ice (light purple).This video is also available on our YouTube channel.",
"width": 1024,
"height": 576,
"pixels": 589824
}
}
},
{
"id": 411823,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 4947,
"url": "https://svs.gsfc.nasa.gov/4947/",
"page_type": "Visualization",
"title": "2021 Hurricane Season through September",
"description": "This data visualization shows hurricane tracks over clouds over precipitation over sea surface temperatures from May 1 through September 30th, 2021. This presentation was created for the COP 26 Conference. || hurr2021_4k_comp.4991_print.jpg (1024x576) [337.4 KB] || hurr2021_4k_comp.4991_searchweb.png (320x180) [123.6 KB] || hurr2021_4k_comp.4991_thm.png (80x40) [17.6 KB] || hurr2021_comp_1080p30.webm (1920x1080) [29.0 MB] || hurr2021_comp_1080p30.mp4 (1920x1080) [489.6 MB] || composite (3840x2160) [0 Item(s)] || hurr2021_comp_2160p30.mp4 (3840x2160) [1.7 GB] || hurr2021_comp_1080p30.mp4.hwshow [187 bytes] || ",
"release_date": "2021-10-30T00:00:00-04:00",
"update_date": "2025-02-02T00:16:07.827971-05:00",
"main_image": {
"id": 551577,
"url": "https://svs.gsfc.nasa.gov/vis/a000000/a004900/a004947/hurr2021_4k_comp.4991_print.jpg",
"filename": "hurr2021_4k_comp.4991_print.jpg",
"media_type": "Image",
"alt_text": "This data visualization shows hurricane tracks over clouds over precipitation over sea surface temperatures from May 1 through September 30th, 2021. This presentation was created for the COP 26 Conference.",
"width": 1024,
"height": 576,
"pixels": 589824
}
}
},
{
"id": 411824,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 4853,
"url": "https://svs.gsfc.nasa.gov/4853/",
"page_type": "Visualization",
"title": "27-year Sea Level Rise - TOPEX/JASON",
"description": "Sea surface height change from 1992 to 2019, with colorbar || sshc_w_cbar.0001_print.jpg (1024x576) [73.7 KB] || sshc_w_cbar.0001_searchweb.png (320x180) [39.6 KB] || sshc_w_cbar.0001_thm.png (80x40) [4.0 KB] || sshc_w_cbar (3840x2160) [0 Item(s)] || sshc_w_cbar_2160p30.mp4 (3840x2160) [28.0 MB] || sshc_w_cbar_2160p30.webm (3840x2160) [6.5 MB] || ",
"release_date": "2020-11-05T10:00:00-05:00",
"update_date": "2025-06-23T00:12:40.702172-04:00",
"main_image": {
"id": 440982,
"url": "https://svs.gsfc.nasa.gov/vis/a000000/a004800/a004853/sshc_w_cbar.0001_print.jpg",
"filename": "sshc_w_cbar.0001_print.jpg",
"media_type": "Image",
"alt_text": "Sea surface height change from 1992 to 2019, with colorbar",
"width": 1024,
"height": 576,
"pixels": 589824
}
}
},
{
"id": 411825,
"type": "gallery_page",
"extra_data": null,
"instance": {
"id": 40249,
"url": "https://svs.gsfc.nasa.gov/gallery/rising-seas/",
"page_type": "Gallery",
"title": "Sea Level Rise",
"description": "Earth’s seas are rising, a direct result of a changing climate. Ocean temperatures are increasing, leading to ocean expansion. And as ice sheets and glaciers melt, they add more water. A fleet of increasingly sophisticated instruments deployed by NASA across the oceans, on polar ice and in orbit, reveals significant changes among globally interlocking factors that are driving sea levels higher.",
"release_date": "2015-08-25T00:00:00-04:00",
"update_date": "2020-12-01T00:00:00-05:00",
"main_image": {
"id": 439817,
"url": "https://svs.gsfc.nasa.gov/vis/a010000/a011900/a011994/Greenland_SLR_Final_Condensed_youtube_hq_searchweb.png",
"filename": "Greenland_SLR_Final_Condensed_youtube_hq_searchweb.png",
"media_type": "Image",
"alt_text": "With an array of approaches including boots on the ground, aerial surveys, ship-board missions, model outputs, and the satellite view from space, NASA science makes major contributions to the study of sea level rise. This gallery contains both data visualizations and new 4K footage shot in Greenland in July, 2015.",
"width": 180,
"height": 320,
"pixels": 57600
}
}
},
{
"id": 411826,
"type": "gallery_page",
"extra_data": null,
"instance": {
"id": 40170,
"url": "https://svs.gsfc.nasa.gov/gallery/air-quality/",
"page_type": "Gallery",
"title": "Air Quality ",
"description": "Air is all around us, but it’s hard to see when harmful particulates are, too. That’s why we use NASA’s Earth-observing satellites to track air quality on our home planet. The data they generate are incorporated into products like the U.S. Air Quality Index the public uses to make decisions that protect their health and well-being.",
"release_date": "2020-04-01T00:00:00-04:00",
"update_date": "2020-12-01T00:00:00-05:00",
"main_image": {
"id": 857273,
"url": "https://svs.gsfc.nasa.gov/images/gallery/WhatsNewwithEarthToday/northeast-no-grid_1080p.00001_print.jpg",
"filename": "northeast-no-grid_1080p.00001_print.jpg",
"media_type": "Image",
"alt_text": "NASA, ESA (European Space Agency) and JAXA (Japan Aerospace Exploration Agency) have created a dashboard of satellite data showing impacts on the environment and socioeconomic activity caused by the global response to the coronavirus (COVID-19) pandemic.",
"width": 160,
"height": 320,
"pixels": 51200
}
}
},
{
"id": 411827,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 4804,
"url": "https://svs.gsfc.nasa.gov/4804/",
"page_type": "Visualization",
"title": "Greenland Ice Sheet: Three Futures",
"description": "This movie shows the evolution of several regions of the Greenland Ice Sheet between 2008 and 2300 based on three different climate scenarios. Each scenario reflects a potential future climate outcome based on current and future greenhouse gas emmisions. The regions shown in a violet color are exposed areas of the Greenland bed that were covered by the ice sheet in 2008. || Greenland_NE_2008_2300_HD_still.2127.jpg (1920x1080) [1.0 MB] || Greenland_NE_2008_2300_HD_still.2127_print.jpg (1024x576) [159.2 KB] || Greenland_NE_2008_2300_HD_still.2127_searchweb.png (320x180) [81.1 KB] || Greenland_NE_2008_2300_HD_still.2127_thm.png (80x40) [7.1 KB] || GreenlandVizV5.webm (1920x1080) [19.7 MB] || Greenland_NE_2008_2300_HD_still.2127.tif (1920x1080) [2.0 MB] || GreenlandVizV5.mp4 (1920x1080) [181.9 MB] || GreenlandViz_FINAL.mov (1920x1080) [5.8 GB] || GreenlandVizV5.mp4.hwshow [378 bytes] || ",
"release_date": "2020-10-13T00:00:00-04:00",
"update_date": "2024-10-10T00:11:26.637208-04:00",
"main_image": {
"id": 383196,
"url": "https://svs.gsfc.nasa.gov/vis/a000000/a004800/a004804/Greenland_NE_2008_2300_HD_still.2127.jpg",
"filename": "Greenland_NE_2008_2300_HD_still.2127.jpg",
"media_type": "Image",
"alt_text": "This movie shows the evolution of several regions of the Greenland Ice Sheet between 2008 and 2300 based on three different climate scenarios. Each scenario reflects a potential future climate outcome based on current and future greenhouse gas emmisions. The regions shown in a violet color are exposed areas of the Greenland bed that were covered by the ice sheet in 2008.",
"width": 1920,
"height": 1080,
"pixels": 2073600
}
}
},
{
"id": 411828,
"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": 411829,
"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": 411830,
"type": "media_group",
"extra_data": null,
"title": "ICESat-2 and Cryosat-2 Coincident Measurements",
"caption": "One of the big challenges in polar science is measuring the thickness of the floating sea ice that blankets the Arctic and Southern Oceans. Newly formed sea ice might be only a few inches thick, whereas sea ice that survives several winter seasons can grow to several feet in thickness (over ten feet in some places). \n\nSea ice thickness is typically estimated by first measuring sea ice freeboard - how much of the floating ice can be observed above sea level. Sea ice floats slightly above sea level because it is less dense than water. An additional complexity is that snow fall on sea ice pushes the floating ice downward and has a lower density than the sea ice. In order to estimate the sea ice thickness, some accommodation for the overlying snow must be made. \n\nNASA’s ICESat-2 satellite measures the Earth’s surface height by firing green laser pulses towards Earth and timing how long it takes for those laser pulses to reflect back to the satellite. The laser light reflects off the top of the snow layer on top of the sea ice. In contrast, the European Space Agency’s CryoSat-2 mission uses radar waves to measure height. These radar waves penetrate the overlying snow and are reflected off the sea ice, rather than the overlying snow. \n \nIn July 2020, ESA elected to slightly perturb the orbit of CryoSat-2 to increase the overlap with ICESat-2. Given their different orbit altitudes, the result is a ~3000km stretch of sea ice that is measured by both ICESat-2 and CryoSat-2. By combining data from these two sensors, scientists can measure the snow layer thickness, and produce substantially improved sea ice thickness estimates.",
"instance": {
"id": 383876,
"url": "https://svs.gsfc.nasa.gov/vis/a000000/a004800/a004841/is2_cryo2_24.1000_searchweb.png",
"filename": "is2_cryo2_24.1000_searchweb.png",
"media_type": "Image",
"alt_text": "This visualization shows the ICESat-2 and Cryosat-2 satellites just after Cryosat-2 has adjusted its orbit to allow for periodic coincident measurements. The camera starts at a global scale, then zooms in to see ICESat-2 ground tracks. About two orbits later, we see Cryosat-2 pass over a portion of the same track. Time speeds up and we see how these coincident measurements happen frequently. ",
"width": 180,
"height": 320,
"pixels": 57600
}
},
{
"id": 411831,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 4820,
"url": "https://svs.gsfc.nasa.gov/4820/",
"page_type": "Visualization",
"title": "NOAA-20 satellite orbit with Suomi NPP and JPSS-2",
"description": "This short visualization shows the orbit of NOAA-20 along with Suomi NPP. The camera rotates to a view perpendicular to the orbit plan, showing the half-orbit separation between the two satellites. || NOAA20_orbit_snpp.2500_print.jpg (1024x576) [65.1 KB] || NOAA20_orbit_snpp.2500_searchweb.png (320x180) [63.3 KB] || NOAA20_orbit_snpp.2500_thm.png (80x40) [4.0 KB] || NOAA20_orbit_with_SNPP_1080p30.mp4 (1920x1080) [19.5 MB] || NOAA20_orbit_with_SNPP_1080p30.webm (1920x1080) [6.2 MB] || noaa20_snpp (3840x2160) [0 Item(s)] || NOAA20_orbit_with_SNPP_2160p30.mp4 (3840x2160) [58.7 MB] || NOAA20_orbit_with_SNPP_1080p30.mp4.hwshow [196 bytes] || ",
"release_date": "2020-05-08T06:00:00-04:00",
"update_date": "2025-01-06T00:18:02.331239-05:00",
"main_image": {
"id": 385324,
"url": "https://svs.gsfc.nasa.gov/vis/a000000/a004800/a004820/NOAA20_orbit_snpp.2500_print.jpg",
"filename": "NOAA20_orbit_snpp.2500_print.jpg",
"media_type": "Image",
"alt_text": "This short visualization shows the orbit of NOAA-20 along with Suomi NPP. The camera rotates to a view perpendicular to the orbit plan, showing the half-orbit separation between the two satellites. ",
"width": 1024,
"height": 576,
"pixels": 589824
}
}
},
{
"id": 411832,
"type": "media_group",
"extra_data": null,
"title": "Sources of Methane",
"caption": "Methane is a powerful greenhouse gas that traps heat 28 times more effectively than carbon dioxide over a 100-year timescale. Concentrations of methane have increased by more than 150% since industrial activities and intensive agriculture began. After carbon dioxide, methane is responsible for about 23% of climate change in the twentieth century. Methane is produced under conditions where little to no oxygen is available. About 30% of methane emissions are produced by wetlands, including ponds, lakes and rivers. Another 20% is produced by agriculture, due to a combination of livestock, waste management and rice cultivation. Activities related to oil, gas, and coal extraction release an additional 30%. The remainder of methane emissions come from minor sources such as wildfire, biomass burning, permafrost, termites, dams, and the ocean. Scientists around the world are working to better understand the budget of methane with the ultimate goals of reducing greenhouse gas emissions and improving prediction of environmental change. For additional information, see the Global Methane Budget.\n\nThe NASA SVS visualization presented here shows the complex patterns of methane emissions produced around the globe and throughout the year from the different sources described above. The visualization was created using output from the Global Modeling and Assimilation Office, GMAO, GEOS modeling system, developed and maintained by scientists at NASA. Wetland emissions were estimated by the LPJ-wsl model, which simulates the temperature and moisture dependent methane emission processes using a variety of satellite data to determine what parts of the globe are covered by wetlands. Other methane emission sources come from inventories of human activity. The height of Earth’s atmosphere and topography have been vertically exaggerated and appear approximately 50-times higher than normal in order to show the complexity of the atmospheric flow. \n\nAs the visualization progresses, outflow from different source regions is highlighted. For example, high methane concentrations over South America are driven by wetland emissions while over Asia, emissions reflect a mix of agricultural and industrial activities. Emissions are transported through the atmosphere as weather systems move and mix methane around the globe. In the atmosphere, methane is eventually removed by reactive gases that convert it to carbon dioxide. Understanding the three-dimensional distribution of methane is important for NASA scientists planning observations that sample the atmosphere in very different ways. Satellites like GeoCarb, a planned geostationary mission to observe both carbon dioxide and methane, look down from space and will estimate the total number of methane molecules in a column of air. Aircraft, like those launched during NASA’s Arctic Boreal Vulnerability Experiment (ABOVE) sample the atmosphere along very specific flight lines, providing additional details about the processes controlling methane emissions at high latitudes. Atmospheric models help place these different types of measurements in context so that scientists can refine estimates of sources and sinks, understand the processes controlling them and reduce uncertainty in future projections of carbon-climate feedbacks.",
"instance": {
"id": 386247,
"url": "https://svs.gsfc.nasa.gov/vis/a000000/a004700/a004799/GlobalMethane_BG.1416_searchweb.png",
"filename": "GlobalMethane_BG.1416_searchweb.png",
"media_type": "Image",
"alt_text": "Methane is a powerful greenhouse gas that traps heat 28 times more effectively than carbon dioxide over a 100-year timescale. Concentrations of methane have increased by more than 150% since industrial activities and intensive agriculture began. After carbon dioxide, methane is responsible for about 23% of climate change in the twentieth century. Methane is produced under conditions where little to no oxygen is available. About 30% of methane emissions are produced by wetlands, including ponds, lakes and rivers. Another 20% is produced by agriculture, due to a combination of livestock, waste management and rice cultivation. Activities related to oil, gas, and coal extraction release an additional 30%. The remainder of methane emissions come from minor sources such as wildfire, biomass burning, permafrost, termites, dams, and the ocean. Scientists around the world are working to better understand the budget of methane with the ultimate goals of reducing greenhouse gas emissions and improving prediction of environmental change. For additional information, see the Global Methane Budget.\n\nThe NASA SVS visualization presented here shows the complex patterns of methane emissions produced around the globe and throughout the year from the different sources described above. The visualization was created using output from the Global Modeling and Assimilation Office, GMAO, GEOS modeling system, developed and maintained by scientists at NASA. Wetland emissions were estimated by the LPJ-wsl model, which simulates the temperature and moisture dependent methane emission processes using a variety of satellite data to determine what parts of the globe are covered by wetlands. Other methane emission sources come from inventories of human activity. The height of Earth’s atmosphere and topography have been vertically exaggerated and appear approximately 50-times higher than normal in order to show the complexity of the atmospheric flow. \n\nAs the visualization progresses, outflow from different source regions is highlighted. For example, high methane concentrations over South America are driven by wetland emissions while over Asia, emissions reflect a mix of agricultural and industrial activities. Emissions are transported through the atmosphere as weather systems move and mix methane around the globe. In the atmosphere, methane is eventually removed by reactive gases that convert it to carbon dioxide. Understanding the three-dimensional distribution of methane is important for NASA scientists planning observations that sample the atmosphere in very different ways. Satellites like GeoCarb, a planned geostationary mission to observe both carbon dioxide and methane, look down from space and will estimate the total number of methane molecules in a column of air. Aircraft, like those launched during NASA’s Arctic Boreal Vulnerability Experiment (ABOVE) sample the atmosphere along very specific flight lines, providing additional details about the processes controlling methane emissions at high latitudes. Atmospheric models help place these different types of measurements in context so that scientists can refine estimates of sources and sinks, understand the processes controlling them and reduce uncertainty in future projections of carbon-climate feedbacks.",
"width": 180,
"height": 320,
"pixels": 57600
}
},
{
"id": 411833,
"type": "media_group",
"extra_data": null,
"title": "Global Biosphere March 2017 - Feb 2022",
"caption": "This newly updated data visualization of the Earth's Biosphere was unveiled at the 2022 United Nations Climate Change Conference (COP 27). \n\nBy monitoring the color of reflected light via satellite, scientists can determine how successfully plant life is photosynthesizing. A measurement of photosynthesis is essentially a measurement of successful growth, and growth means successful use of ambient carbon. This data visualization represents five years' worth of data taken primarily by Suomi NPP/VIIRS satellite sensors, showing the abundance of life both on land and in the sea. In the ocean, dark blue represents warmer areas where there is little life due to lack of nutrients, where yellow and orange represent cooler nutrient-rich areas. The nutrient-rich areas include coastal regions where cold water rises from the sea floor bringing nutrients along and areas at the mouths of rivers where the rivers have brought nutrients into the ocean from the land. On land, green represents areas of abundant plant life, such as forests and grasslands, while tan and white represent areas where plant life is sparse or non-existent, such as the deserts in Africa and the Middle East and snow-cover and ice at the poles.",
"instance": {
"id": 368522,
"url": "https://svs.gsfc.nasa.gov/vis/a000000/a005000/a005006/newbio_v34_mollweide_comp1130_searchweb.png",
"filename": "newbio_v34_mollweide_comp1130_searchweb.png",
"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": 180,
"height": 320,
"pixels": 57600
}
},
{
"id": 411834,
"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": 411835,
"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": 411836,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 31100,
"url": "https://svs.gsfc.nasa.gov/31100/",
"page_type": "Hyperwall Visual",
"title": "Global Transport of Smoke from Australian Bushfires",
"description": "Animation of global aerosols from August 1, 2019 to January 29, 2020 || australia_fire_smoke_print.jpg (1024x576) [184.6 KB] || australia_fire_smoke.png (3840x2160) [8.2 MB] || australia_fire_smoke_searchweb.png (180x320) [104.5 KB] || australia_fire_smoke_thm.png (80x40) [7.7 KB] || australia_fire_smoke_720p.webm (1280x720) [11.3 MB] || australia_fire_smoke_1080p.mp4 (1920x1080) [228.5 MB] || AerosolFrames (10080x5043) [0 Item(s)] || AerosolFrames (5760x3240) [0 Item(s)] || australia_fire_smoke_2160p.mp4 (3840x2160) [688.8 MB] || ",
"release_date": "2020-03-30T00:00:00-04:00",
"update_date": "2025-01-05T00:34:17.425660-05:00",
"main_image": {
"id": 387538,
"url": "https://svs.gsfc.nasa.gov/vis/a030000/a031100/a031100/australia_fire_smoke_print.jpg",
"filename": "australia_fire_smoke_print.jpg",
"media_type": "Image",
"alt_text": "Animation of global aerosols from August 1, 2019 to January 29, 2020",
"width": 1024,
"height": 576,
"pixels": 589824
}
}
},
{
"id": 411837,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 4806,
"url": "https://svs.gsfc.nasa.gov/4806/",
"page_type": "Visualization",
"title": "GRACE Data Assimilation and GEOS-5 Forecasts",
"description": "GRACE Surface Water, Root Zone, and Groundwater Storage, Okovango Delta Region || okovango_1080p30.00500_print.jpg (1024x576) [74.4 KB] || okovango_1080p30.00500_searchweb.png (320x180) [56.1 KB] || okovango_1080p30.00500_thm.png (80x40) [5.8 KB] || okovango_1080p30.mp4 (1920x1080) [27.9 MB] || okovango_1080p30.webm (1920x1080) [7.1 MB] || okovango_1080p30.mp4.hwshow [388 bytes] || ",
"release_date": "2020-03-31T00:00:00-04:00",
"update_date": "2025-03-10T00:09:51.811312-04:00",
"main_image": {
"id": 385927,
"url": "https://svs.gsfc.nasa.gov/vis/a000000/a004800/a004806/okovango_1080p30.00500_print.jpg",
"filename": "okovango_1080p30.00500_print.jpg",
"media_type": "Image",
"alt_text": "GRACE Surface Water, Root Zone, and Groundwater Storage, Okovango Delta Region",
"width": 1024,
"height": 576,
"pixels": 589824
}
}
},
{
"id": 411838,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 13577,
"url": "https://svs.gsfc.nasa.gov/13577/",
"page_type": "Produced Video",
"title": "Witness the Breathtaking Beauty of Earth's Polar Regions with NASA's Operation IceBridge",
"description": "VIDEO: \"Witness the Breathtaking Beauty of Earth’s Polar Regions\"Operation IceBridge recorded the diversity and fragility of our rapidly changing polar regions. These areas are some of the most inhospitable, but breathtaking places on Earth. Sit back and witness the polar regions, from western Greenland to Antarctica. Notable features include the Pine Island Glacier, Larsen C ice shelf, and rapid summer melt on the western Greenland Ice Sheet. Learn more: Operation IceBridgeMusic Provided by Universal Production Music: \"Arabesque No.1\" by Claude Debussy [PD]This video is also available on our YouTube channel. || 13577_Cryosphere_Beauty_Classic.00018_print.jpg (1024x576) [156.8 KB] || 13577_Cryosphere_Beauty_Classic.00018_searchweb.png (320x180) [102.8 KB] || 13577_Cryosphere_Beauty_Classic.00018_web.png (320x180) [102.8 KB] || 13577_Cryosphere_Beauty_Classic.00018_thm.png (80x40) [6.0 KB] || 13577_Cryosphere_Beauty_Classic.mp4 (1920x1080) [240.8 MB] || TWITTER_720_13577_Cryosphere_Beauty_Classic_VX-313147_twitter_720.mp4 (1280x720) [25.0 MB] || 13577_Cryosphere_Beauty_Classic_VX-313147.webm (960x540) [61.6 MB] || 13577_Cryosphere_Beauty_Classic.mov (1920x1080) [1.7 GB] || Cryosphere.en_US.srt [52 bytes] || Cryosphere.en_US.vtt [65 bytes] || ",
"release_date": "2020-04-07T00:00:00-04:00",
"update_date": "2023-05-03T13:45:04.348800-04:00",
"main_image": {
"id": 385750,
"url": "https://svs.gsfc.nasa.gov/vis/a010000/a013500/a013577/13577_Cryosphere_Beauty_Classic.00018_print.jpg",
"filename": "13577_Cryosphere_Beauty_Classic.00018_print.jpg",
"media_type": "Image",
"alt_text": "VIDEO: \"Witness the Breathtaking Beauty of Earth’s Polar Regions\"\r\rOperation IceBridge recorded the diversity and fragility of our rapidly changing polar regions. These areas are some of the most inhospitable, but breathtaking places on Earth. Sit back and witness the polar regions, from western Greenland to Antarctica. Notable features include the Pine Island Glacier, Larsen C ice shelf, and rapid summer melt on the western Greenland Ice Sheet. \r\rLearn more: Operation IceBridge\rMusic Provided by Universal Production Music: \"Arabesque No.1\" by Claude Debussy [PD]\r\rThis video is also available on our YouTube channel.",
"width": 1024,
"height": 576,
"pixels": 589824
}
}
},
{
"id": 411839,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 4800,
"url": "https://svs.gsfc.nasa.gov/4800/",
"page_type": "Visualization",
"title": "JPSS Green Vegetation Fraction (GVF)",
"description": "The visualization depicts Green Vegetation Fraction (GVF) based on data collected by the VIIRS instrument aboard the NOAA-20 satellite. || gvf_18.0550_print.jpg (1024x576) [90.7 KB] || gvf_18.0550_searchweb.png (320x180) [56.2 KB] || gvf_18.0550_thm.png (80x40) [6.0 KB] || jpss_gvf_02_1080p30.mp4 (1920x1080) [22.7 MB] || jpss_gvf_02_1080p30.webm (1920x1080) [5.3 MB] || jpss_gvf_02_2160p30.mp4 (3840x2160) [72.9 MB] || JPSS_Greening_02 (3840x2160) [0 Item(s)] || jpss_gvf_02_1080p30.mp4.hwshow [185 bytes] || ",
"release_date": "2020-03-19T14:00:00-04:00",
"update_date": "2025-01-13T00:12:31.043499-05:00",
"main_image": {
"id": 386177,
"url": "https://svs.gsfc.nasa.gov/vis/a000000/a004800/a004800/gvf_18.0550_print.jpg",
"filename": "gvf_18.0550_print.jpg",
"media_type": "Image",
"alt_text": "The visualization depicts Green Vegetation Fraction (GVF) based on data collected by the VIIRS instrument aboard the NOAA-20 satellite. ",
"width": 1024,
"height": 576,
"pixels": 589824
}
}
},
{
"id": 411840,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 4745,
"url": "https://svs.gsfc.nasa.gov/4745/",
"page_type": "Visualization",
"title": "Landsat with Sentinel - Global Coverage",
"description": "This visualization depicts the orbits and data swaths of the Landsat 8, Landsat 9, Sentinel 2a, and Sentinel 2b satellites. The satellites appear one at a time with their respective data swaths. As time progresses throughout the visualization, the satellites ‘paint’ the globe with imagery to show how the four spacecraft work together to build a complete picture of the Earth. || landsat_w_sentinel_v2_ls8ls9sAsB_fade_08_60fps_4k_3240_print.jpg (1024x576) [55.5 KB] || landsat_w_sentinel_v2_ls8ls9sAsB_fade_08_60fps_4k_3240_searchweb.png (320x180) [62.5 KB] || landsat_w_sentinel_v2_ls8ls9sAsB_fade_08_60fps_4k_3240_thm.png (80x40) [4.5 KB] || landsat_w_sentinel_ls8ls9sAsB_fade_1080p60.mp4 (1920x1080) [29.1 MB] || landsat_w_sentinel_ls8ls9sAsB_fade_1080p60.webm (1920x1080) [8.1 MB] || landsat_w_sentinel_v2_ls8ls9sAsB_fade_08_60fps_4k (3840x2160) [512.0 KB] || landsat_w_sentinel_ls8ls9sAsB_fade_2160p30.mp4 (3840x2160) [82.6 MB] || ",
"release_date": "2020-03-03T11:00:00-05:00",
"update_date": "2024-10-13T22:43:07.301314-04:00",
"main_image": {
"id": 386346,
"url": "https://svs.gsfc.nasa.gov/vis/a000000/a004700/a004745/landsat_w_sentinel_v2_ls8ls9sAsB_fade_08_60fps_4k_3240_print.jpg",
"filename": "landsat_w_sentinel_v2_ls8ls9sAsB_fade_08_60fps_4k_3240_print.jpg",
"media_type": "Image",
"alt_text": "This visualization depicts the orbits and data swaths of the Landsat 8, Landsat 9, Sentinel 2a, and Sentinel 2b satellites. The satellites appear one at a time with their respective data swaths. As time progresses throughout the visualization, the satellites ‘paint’ the globe with imagery to show how the four spacecraft work together to build a complete picture of the Earth. ",
"width": 1024,
"height": 576,
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}
}
},
{
"id": 411841,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 4794,
"url": "https://svs.gsfc.nasa.gov/4794/",
"page_type": "Visualization",
"title": "CERES Radiation Balance",
"description": "The Clouds and the Earth’s Energy Radiant System (CERES) instrument is a key component of NASA’s Earth Observing System, with six active CERES instruments on satellites orbiting Earth and taking data. For Earth’s temperature to be stable over long periods of time, absorbed solar and emitted thermal radiation must be equal. Increases in greenhouse gases, like carbon dioxide and methane, trap emitted thermal radiation from the surface and reduce how much is lost to space, resulting in a net surplus of energy into the Earth system. Most of the extra energy ends up being stored as heat in the ocean and the remainder warms the atmosphere and land, and melts snow and ice. As a consequence, global mean surface temperature increases and sea levels rise. Much like a pulse or heartbeat, CERES monitors reflected solar and emitted thermal infrared radiation, which together with solar irradiance measurements is one of Earth’s ‘vital signs.’ Better understanding Earth’s energy balance enables us to be informed and adapt to a changing world. || ",
"release_date": "2020-02-21T08:00:00-05:00",
"update_date": "2025-01-06T00:16:03.687867-05:00",
"main_image": {
"id": 386721,
"url": "https://svs.gsfc.nasa.gov/vis/a000000/a004700/a004794/GMSTA_final.1500_print.jpg",
"filename": "GMSTA_final.1500_print.jpg",
"media_type": "Image",
"alt_text": "A plotted view of global mean surface temperature anomaly, or deviation from the long-term mean, since 1985.",
"width": 1024,
"height": 576,
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}
}
},
{
"id": 411842,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 4754,
"url": "https://svs.gsfc.nasa.gov/4754/",
"page_type": "Visualization",
"title": "The Complex Chemistry of Surface Ozone Depicted in a New GEOS Simulation",
"description": "96 chemical species are shown from a GEOS atmospheric simulation || gmao_chem_3x3_pass02_09.05630_no_overlay_print.jpg (1024x576) [126.9 KB] || gmao_chem_3x3_pass02_09.05630_no_overlay.png (5760x3240) [2.5 MB] || gmao_chem_3x3_pass02_09.05630_no_overlay_searchweb.png (320x180) [82.3 KB] || gmao_chem_3x3_pass02_09.05630_no_overlay_thm.png (80x40) [6.8 KB] || 1920x1080_16x9_p30 (1920x1080) [0 Item(s)] || gmao_chem_HD_1080p30.webm (1920x1080) [36.0 MB] || gmao_chem_HD_1080p30.mp4 (1920x1080) [267.3 MB] || 9600x3240_16x9_30p (9600x3240) [0 Item(s)] || 3840x2160_16x9_p30 (3840x2160) [0 Item(s)] || gmao_chem_5x3_preview.mp4 (3200x1080) [429.0 MB] || gmao_chem_4k_2160p30.mp4 (3840x2160) [762.1 MB] || gmao_chem_HD_1080p30.mp4.hwshow [212 bytes] || ",
"release_date": "2019-12-09T00:00:00-05:00",
"update_date": "2025-01-05T00:10:26.122338-05:00",
"main_image": {
"id": 393015,
"url": "https://svs.gsfc.nasa.gov/vis/a000000/a004700/a004754/gmao_chem_3x3_pass02_09.05630_no_overlay_print.jpg",
"filename": "gmao_chem_3x3_pass02_09.05630_no_overlay_print.jpg",
"media_type": "Image",
"alt_text": "96 chemical species are shown from a GEOS atmospheric simulation",
"width": 1024,
"height": 576,
"pixels": 589824
}
}
},
{
"id": 411843,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 4837,
"url": "https://svs.gsfc.nasa.gov/4837/",
"page_type": "Visualization",
"title": "IMERG Monthly Climatology",
"description": "This data visualization cycles through the monthly precipitation rates. Both the colorbar and corresponding months are burned into the movie. || monthly_clim_w_dates.0000_print.jpg (1024x576) [235.9 KB] || monthly_clim_w_dates.0000_searchweb.png (320x180) [92.1 KB] || monthly_clim_w_dates.0000_thm.png (80x40) [7.7 KB] || monthly_clim_w_dates_1080p30_2.mp4 (1920x1080) [13.7 MB] || monthly_clim_w_dates_1080p30.mp4 (1920x1080) [20.9 MB] || monthly_with_dates (1920x1080) [0 Item(s)] || monthly_clim_w_dates_1080p30_2.webm (1920x1080) [2.1 MB] || monthly_clim_w_dates_1080p30_2.mp4.hwshow [196 bytes] || ",
"release_date": "2020-07-03T00:00:00-04:00",
"update_date": "2025-01-06T00:18:21.382668-05:00",
"main_image": {
"id": 392168,
"url": "https://svs.gsfc.nasa.gov/vis/a000000/a004800/a004837/monthly_clim_w_dates.0000_print.jpg",
"filename": "monthly_clim_w_dates.0000_print.jpg",
"media_type": "Image",
"alt_text": "This data visualization cycles through the monthly precipitation rates. Both the colorbar and corresponding months are burned into the movie.",
"width": 1024,
"height": 576,
"pixels": 589824
}
}
},
{
"id": 411844,
"type": "media_group",
"extra_data": null,
"title": "Goddard Earth Science Overview",
"caption": "The Earth Sciences Division at NASA's Goddard Space Flight Center plans, organizes, evaluates, and implements a broad program of research on our planet's natural systems and processes. Major focus areas include climate change, severe weather, the atmosphere, the oceans, sea ice and glaciers, and the land surface.\n\nTo study the planet from the unique perspective of space, the Earth Science Division develops and operates remote-sensing satellites and instruments. We analyze observational data from these spacecraft and make it available to the world's scientists. Our Education and Public Outreach efforts raise public awareness of the Division's research and its benefits to society.",
"instance": {
"id": 385739,
"url": "https://svs.gsfc.nasa.gov/vis/a010000/a013500/a013523/13523_Goddard_Earth_Science_AGUTV.01840_searchweb.png",
"filename": "13523_Goddard_Earth_Science_AGUTV.01840_searchweb.png",
"media_type": "Image",
"alt_text": "The Earth Sciences Division at NASA's Goddard Space Flight Center plans, organizes, evaluates, and implements a broad program of research on our planet's natural systems and processes. Major focus areas include climate change, severe weather, the atmosphere, the oceans, sea ice and glaciers, and the land surface.\n\nTo study the planet from the unique perspective of space, the Earth Science Division develops and operates remote-sensing satellites and instruments. We analyze observational data from these spacecraft and make it available to the world's scientists. Our Education and Public Outreach efforts raise public awareness of the Division's research and its benefits to society.",
"width": 180,
"height": 320,
"pixels": 57600
}
},
{
"id": 411845,
"type": "media_group",
"extra_data": null,
"title": "2017 Hurricanes and Aerosols Simulation",
"caption": "Tracking the aerosols carried on the winds let scientists see the currents in our atmosphere. This visualization follows sea salt, dust, and smoke from July 31 to November 1, 2017, to reveal how these particles are transported across the map.\r\rThe first thing that is noticeable is how far the particles can travel. Smoke from fires in the Pacific Northwest gets caught in a weather pattern and pulled all the way across the US and over to Europe. Hurricanes form off the coast of Africa and travel across the Atlantic to make landfall in the United States. Dust from the Sahara is blown into the Gulf of Mexico. To understand the impacts of aerosols, scientists need to study the process as a global system.\r\rThe Global Modeling and Assimilation Office (GMAO) at NASA's Goddard Space Flight Center has developed the Goddard Earth Observing System (GEOS), a family of mathematical models. Combined with data from NASA's Earth observing satellites, the supercomputer simulations enhance our scientific understanding of specific chemical, physical, and biological processes.\r\rDuring the 2017 hurricane season, the storms are visible because of the sea salt that is captured by the storms. Strong winds at the surface lift the sea salt into the atmosphere and the particles are incorporated into the storm. Hurricane Irma is the first big storm that spawns off the coast of Africa. As the storm spins up, the Saharan dust is absorbed in cloud droplets and washed out of the storm as rain. This process happens with most of the storms, except for Hurricane Ophelia. Forming more northward than most storms, Ophelia traveled to the east picking up dust from the Sahara and smoke from large fires in Portugal. Retaining its tropical storm state farther northward than any system in the Atlantic, Ophelia carried the smoke and dust into Ireland and the UK.\r\rComputer simulations using the GEOS models allow scientists to see how different processes fit together and evolve as a system. By using mathematical models to represent nature we can separate the system into component parts and better understand the underlying physics of each.\n\nGEOS runs on the Discover supercomputer at the NASA Center for Climate Simulation (NCCS)\n\nFor more information: NASA@SC17: Glimpse at the Future of Global Weather Prediction and Analysis at NASA",
"instance": {
"id": 409573,
"url": "https://svs.gsfc.nasa.gov/vis/a010000/a012700/a012772/12772_hurricanes_and_aerosols_1080p_youtube_1080.00001_searchweb.png",
"filename": "12772_hurricanes_and_aerosols_1080p_youtube_1080.00001_searchweb.png",
"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": 180,
"height": 320,
"pixels": 57600
}
},
{
"id": 411846,
"type": "media_group",
"extra_data": null,
"title": "Global Transport of Smoke from Australian Bushfires",
"caption": "This visualization shows the global distribution of aerosols, generated by NASA’s GEOS-FP data assimilation system, from August 1, 2019 to January 14,2020—capturing the aerosols released by the extreme bushfires in Australia in December 2019 and January 2020 and how they are transported around the globe over the South Pacific Ocean.\n\nDifferent aerosol species are highlighted by color, including dust (orange), sea-salt (blue), nitrates (pink), sulfates (green), and carbon (red), with brighter regions corresponding to higher aerosol amounts. NASA's MODIS observations constrain regions with biomass burning as well as the aerosol optical depths in GEOS, capturing the prominent bushfires in Australia and transport of emitted aerosols well downstream over the South Pacific Ocean. Weather events including Hurricane Dorian in August – September 2019 and other tropical cyclones around the world, along with major fire events in South America and Indonesia in August - September 2019 are also shown.\n\nThe local impacts of the Australian bushfires have been devastating to property and life in Australia while producing extreme air quality impacts throughout the region. As smoke from the massive fires has interacted with the global weather, the transport of smoke plumes around the global have accelerated through deep vertical transport into the upper troposphere and even the lowermost stratosphere, leading to long-range transport around the globe.",
"instance": {
"id": 387539,
"url": "https://svs.gsfc.nasa.gov/vis/a030000/a031100/a031100/australia_fire_smoke_searchweb.png",
"filename": "australia_fire_smoke_searchweb.png",
"media_type": "Image",
"alt_text": "Animation of global aerosols from August 1, 2019 to January 29, 2020",
"width": 180,
"height": 320,
"pixels": 57600
}
},
{
"id": 411847,
"type": "media_group",
"extra_data": null,
"title": "The Reference Elevation Model of Antarctica (REMA)",
"caption": "The Reference Elevation Model of Antarctica (REMA) provides the first, high resolution (8-meter) terrain map of nearly the entire continent. \n\nREMA is constructed from hundreds of thousands of individual stereoscopic Digital Elevation Models (DEM) extracted from pairs of submeter (0.32 to 0.5 m) resolution DigitalGlobe satellite imagery, including data from WorldView-1, WorldView-2, and WorldView-3, and a small number from GeoEye-1, acquired between 2009 and 2017, with most collected in 2015 and 2016, over the austral summer seasons (mostly December to March).\n\nEach individual DEM was vertically registered to satellite altimetry measurements from Cryosat-2 and ICESat, resulting in absolute uncertainties of less than 1 m over most of its area, and relative uncertainties of decimeters.\n\nThis visualization compares the spatial resolution of REMA with DEM data from RADARSAT.",
"instance": {
"id": 372312,
"url": "https://svs.gsfc.nasa.gov/vis/a000000/a004400/a004478/REMA_comp_04_hw_04150_searchweb.png",
"filename": "REMA_comp_04_hw_04150_searchweb.png",
"media_type": "Image",
"alt_text": "This visualization explores the spatial resolution of the REMA data. The camera starts out at a global view of Antarctica before zooming into the Ross Archipelago region. RADARSAT DEM data is shown as the camera pushes in, showing the limits of the data resolution. A wipe transition reveals the REMA data, exposing additional details as the camera moves down towards the surface. Terrain is represented as a mesh to show the full resolution of the data. The camera flies up a valley, exploring the detailed REMA data. LIMA imagery is revealed at the end of the visualization. This video is also available on our YouTube channel.",
"width": 180,
"height": 320,
"pixels": 57600
}
},
{
"id": 411848,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 4984,
"url": "https://svs.gsfc.nasa.gov/4984/",
"page_type": "Visualization",
"title": "ICESat-2 Land Ice Height Change",
"description": "At the whole ice sheet scale, this visualization shows the continued draw down of the major outlet glaciers in West Antarctica and in parts of East Antarctica between April 2019 and July 2021. Some areas show hints of blue, indicating places where the ice sheet surface has gone up, reflecting either increased snowfall or changes in ice dynamics.",
"release_date": "2022-05-15T00:00:00-04:00",
"update_date": "2025-12-29T00:14:41.508897-05:00",
"main_image": {
"id": 372337,
"url": "https://svs.gsfc.nasa.gov/vis/a000000/a004900/a004984/is2_land-ice-change_antarctica.1700_print.jpg",
"filename": "is2_land-ice-change_antarctica.1700_print.jpg",
"media_type": "Image",
"alt_text": "At the whole ice sheet scale, this visualization shows the continued draw down of the major outlet glaciers in West Antarctica and in parts of East Antarctica between April 2019 and July 2021. Some areas show hints of blue, indicating places where the ice sheet surface has gone up, reflecting either increased snowfall or changes in ice dynamics.",
"width": 1024,
"height": 576,
"pixels": 589824
}
}
}
],
"extra_data": {}
},
{
"id": 371494,
"url": "https://svs.gsfc.nasa.gov/gallery/whats-newwith-earth-today/#media_group_371494",
"widget": "Tile gallery",
"title": "Earth Day",
"caption": "",
"description": "",
"items": [
{
"id": 411849,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 13586,
"url": "https://svs.gsfc.nasa.gov/13586/",
"page_type": "Produced Video",
"title": "NASA Looks Back at 50 Years of Earth Day",
"description": "It’s been five decades since Apollo 8 astronaut William Anders photographed Earth peaking over the Moon’s horizon. The iconic image, dubbed Earthrise, inspired a new appreciation of the fragility of our place in the universe. Two years later, Earth Day was born to honor our home planet. As the world prepares to commemorate the 50th anniversary of Earth Day, NASA reflects on how the continued growth of its fleet of Earth-observing satellites has sharpened our view of the planet’s climate, atmosphere, land, polar regions and oceans. || ",
"release_date": "2020-04-21T06:00:00-04:00",
"update_date": "2023-05-03T13:45:02.220367-04:00",
"main_image": {
"id": 385635,
"url": "https://svs.gsfc.nasa.gov/vis/a010000/a013500/a013586/ED_EN_thumb.png",
"filename": "ED_EN_thumb.png",
"media_type": "Image",
"alt_text": "Music: \"Crest of a Wave,\" Lorenzo Castellarin, Universal Production MusicComplete transcript available.",
"width": 1920,
"height": 1080,
"pixels": 2073600
}
}
},
{
"id": 411850,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 4817,
"url": "https://svs.gsfc.nasa.gov/4817/",
"page_type": "Visualization",
"title": "Earth Day 2020: CERES Net TOA Radiation",
"description": "CERES Net TOA Radiation, WIth LabelsThis video is also available on our YouTube channel. || ceres_w_labels.00001_print.jpg (1024x576) [98.8 KB] || ceres_w_labels.00001_searchweb.png (320x180) [51.5 KB] || ceres_w_labels.00001_thm.png (80x40) [4.4 KB] || ceres_w_labels.webm (1920x1080) [6.9 MB] || ceres_w_labels.mp4 (1920x1080) [111.3 MB] || captions_silent.29564.en_US.srt [43 bytes] || ceres_w_labels.mp4.hwshow [180 bytes] || ",
"release_date": "2020-04-17T00:00:00-04:00",
"update_date": "2025-01-06T00:18:01.241928-05:00",
"main_image": {
"id": 385897,
"url": "https://svs.gsfc.nasa.gov/vis/a000000/a004800/a004817/ceres_w_labels.00001_print.jpg",
"filename": "ceres_w_labels.00001_print.jpg",
"media_type": "Image",
"alt_text": "CERES Net TOA Radiation, WIth LabelsThis video is also available on our YouTube channel.",
"width": 1024,
"height": 576,
"pixels": 589824
}
}
},
{
"id": 411851,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 4815,
"url": "https://svs.gsfc.nasa.gov/4815/",
"page_type": "Visualization",
"title": "Earth Day 2020: IMERG Precipitation",
"description": "IMERG Visualization, With LabelsThis video is also available on our YouTube channel. || imerg_w_labels.00001_print.jpg (1024x576) [69.5 KB] || imerg_w_labels.00001_searchweb.png (320x180) [45.4 KB] || imerg_w_labels.00001_thm.png (80x40) [4.2 KB] || imerg_w_labels.webm (1920x1080) [6.9 MB] || imerg_w_labels.mp4 (1920x1080) [110.8 MB] || captions_silent.29561.en_US.srt [43 bytes] || imerg_w_labels.mp4.hwshow [180 bytes] || ",
"release_date": "2020-04-20T00:00:00-04:00",
"update_date": "2025-01-06T00:18:00.453930-05:00",
"main_image": {
"id": 385882,
"url": "https://svs.gsfc.nasa.gov/vis/a000000/a004800/a004815/imerg_w_labels.00001_print.jpg",
"filename": "imerg_w_labels.00001_print.jpg",
"media_type": "Image",
"alt_text": "IMERG Visualization, With LabelsThis video is also available on our YouTube channel.",
"width": 1024,
"height": 576,
"pixels": 589824
}
}
},
{
"id": 411852,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 4816,
"url": "https://svs.gsfc.nasa.gov/4816/",
"page_type": "Visualization",
"title": "Earth Day 2020: Normalized Difference Vegetation Index (NDVI) Seasonal Cycles",
"description": "NDVI Seasonal Cycles, With LabelsThis video is also available on our YouTube channel. || ndvi_w_labels.00001_print.jpg (1024x576) [66.3 KB] || ndvi_w_labels.00001_searchweb.png (320x180) [42.2 KB] || ndvi_w_labels.00001_thm.png (80x40) [3.9 KB] || ndvi_w_labels.webm (1920x1080) [6.8 MB] || ndvi_w_labels.mp4 (1920x1080) [111.8 MB] || captions_silent.29562.en_US.srt [43 bytes] || ndvi_w_labels.mp4.hwshow [373 bytes] || ",
"release_date": "2020-04-20T00:00:00-04:00",
"update_date": "2025-01-06T00:18:00.897219-05:00",
"main_image": {
"id": 385889,
"url": "https://svs.gsfc.nasa.gov/vis/a000000/a004800/a004816/ndvi_w_labels.00001_print.jpg",
"filename": "ndvi_w_labels.00001_print.jpg",
"media_type": "Image",
"alt_text": "NDVI Seasonal Cycles, With LabelsThis video is also available on our YouTube channel.",
"width": 1024,
"height": 576,
"pixels": 589824
}
}
},
{
"id": 411853,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 4818,
"url": "https://svs.gsfc.nasa.gov/4818/",
"page_type": "Visualization",
"title": "Earth Day 2020: GRACE Groundwater Storage",
"description": "GRACE Groundwater Storage, With LabelsThis video is also available on our YouTube channel. || grace_w_labels.00001_print.jpg (1024x576) [84.3 KB] || grace_w_labels.00001_searchweb.png (320x180) [47.9 KB] || grace_w_labels.00001_thm.png (80x40) [4.5 KB] || grace_w_labels.webm (1920x1080) [6.9 MB] || grace_w_labels.mp4 (1920x1080) [111.2 MB] || captions_silent.29566.en_US.srt [43 bytes] || grace_w_labels.mp4.hwshow [180 bytes] || ",
"release_date": "2020-04-20T00:00:00-04:00",
"update_date": "2025-01-06T00:18:01.635991-05:00",
"main_image": {
"id": 385909,
"url": "https://svs.gsfc.nasa.gov/vis/a000000/a004800/a004818/grace_w_labels.00001_print.jpg",
"filename": "grace_w_labels.00001_print.jpg",
"media_type": "Image",
"alt_text": "GRACE Groundwater Storage, With LabelsThis video is also available on our YouTube channel.",
"width": 1024,
"height": 576,
"pixels": 589824
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"title": "Earth Day 2020: GEOS-5 Modeled Cloud Cover",
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"alt_text": "Sea Surface Temperature - composited version with all layers includedThis video is also available on our YouTube channel.",
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"title": "Earth Day 2020: Apollo-8 to Earth observing fleet",
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"alt_text": "Push in from the far side of the Moon to Apollo-8 take the \"Earthrise\" photo; then push in to NASA's Earth observing fleet in 1970 (the first Earth Day), then transition to the Earth observing fleet in 2020 (the 50th anniversary of Earth Day)This video is also available on our YouTube channel.",
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"title": "Earth Day 2020: Biosphere",
"description": "Global Biosphere data from 1997 through 2017 with corresponding colorbars and date stamp.This video is also available on our YouTube channel. || earthday_bio_comp.0000_print.jpg (1024x576) [95.0 KB] || earthday_bio_comp.0000_searchweb.png (320x180) [51.5 KB] || earthday_bio_comp.0000_thm.png (80x40) [5.0 KB] || earthday_biosphere_composite (1920x1080) [0 Item(s)] || earthday_bio_comp_1080p30.webm (1920x1080) [17.9 MB] || earthday_bio_comp_1080p30.mp4 (1920x1080) [106.0 MB] || captions_silent.29351.en_US.srt [43 bytes] || earthday_bio_comp_1080p30.mp4.hwshow [191 bytes] || ",
"release_date": "2020-04-21T00:00:00-04:00",
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"title": "Earth Day 2020: Gulf Stream ocean current pull out to Earth observing fleet",
"description": "Ocean currents from the ECCO-2 model: starting underwater, then pulling back to see the Gulf Stream, pulling back farther revealing the Earth observing fleetThis video is also available on our YouTube channel. || gulf_stream_to_fleet_final01.4300_print.jpg (1024x576) [274.9 KB] || gulf_stream_to_fleet_final01.4300_searchweb.png (320x180) [138.0 KB] || gulf_stream_to_fleet_final01.4300_thm.png (80x40) [8.1 KB] || 1920x1080_16x9_60p (1920x1080) [0 Item(s)] || gulf_stream_to_fleet_final01_1080p60.webm (1920x1080) [13.8 MB] || gulf_stream_to_fleet_final01_1080p60.mp4 (1920x1080) [140.9 MB] || gulf_stream_to_fleet_final01.mp4 (1920x1080) [203.9 MB] || 9600x3240_16x9_30p (9600x3240) [0 Item(s)] || captions_silent.29348.en_US.srt [43 bytes] || gulf_stream_to_fleet_final01.mp4.hwshow [448 bytes] || ",
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"update_date": "2025-01-06T00:17:02.070740-05:00",
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}
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"url": "https://svs.gsfc.nasa.gov/4798/",
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"description": "This 3D volumetric visualization shows a global view of the methane emission and transport between December 1, 2017 and November 30, 2018. This visualizaion of the rotating global view is designed to be played in a continuous loop.This video is also available on our YouTube channel. || Earth_Day_Methane_loop.2919_print.jpg (1024x576) [102.0 KB] || Earth_Day_Methane_loop.2919_searchweb.png (320x180) [54.3 KB] || Earth_Day_Methane_loop.2919_thm.png (80x40) [5.0 KB] || loop_composite (1920x1080) [0 Item(s)] || Earth_Day_Methane_loop_1080p30.webm (1920x1080) [11.5 MB] || Earth_Day_Methane_loop_1080p30.mp4 (1920x1080) [355.8 MB] || captions_silent.29410.en_US.srt [43 bytes] || Earth_Day_Methane_loop_1080p30.mp4.hwshow [196 bytes] || ",
"release_date": "2020-04-21T00:00:00-04:00",
"update_date": "2025-03-10T00:09:12.071462-04:00",
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"media_type": "Image",
"alt_text": "This 3D volumetric visualization shows a global view of the methane emission and transport between December 1, 2017 and November 30, 2018. This visualizaion of the rotating global view is designed to be played in a continuous loop.This video is also available on our YouTube channel.",
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"title": "COVID-19 Earth Observations",
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"description": "As cities and countries locked down during COVID-19, some changes were visible from space.",
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"title": "NASA, ESA and JAXA Partner to Create COVID-19 Earth Observation Dashboard",
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"release_date": "2020-06-25T07:45:00-04:00",
"update_date": "2023-05-03T13:44:53.255793-04:00",
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"release_date": "2020-06-18T00:00:00-04:00",
"update_date": "2023-05-03T13:44:54.605700-04:00",
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"alt_text": "NO2, South America, April 15-May 31 2015-2019, Spanish",
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{
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"extra_data": null,
"instance": {
"id": 4810,
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"title": "Reductions in Pollution Associated with Decreased Fossil Fuel Use Resulting from COVID-19 Mitigation",
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"release_date": "2020-04-24T00:00:00-04:00",
"update_date": "2025-01-19T22:42:34.297178-05:00",
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"media_type": "Image",
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}
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{
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"instance": {
"id": 31144,
"url": "https://svs.gsfc.nasa.gov/31144/",
"page_type": "Hyperwall Visual",
"title": "New-Generation Satellite Observations Monitor Air Pollution During COVID-19 Lockdown Measures in California",
"description": "TROPOMI Nitrogen Dioxide animation. || tropomi_california_20200302_20200308_print.jpg (1024x576) [179.6 KB] || tropomi_california_20200302_20200308_searchweb.png (320x180) [95.9 KB] || tropomi_california_20200302_20200308_thm.png (80x40) [6.5 KB] || tropomi_california_covid-19_1080p.mp4 (1920x1080) [2.9 MB] || tropomi_california_covid-19_720p.mp4 (1280x720) [1.7 MB] || tropomi_california_covid-19_720p.webm (1280x720) [1.6 MB] || tropomi_california_20200302_20200308.tif (3840x2160) [7.5 MB] || tropomi_california_20200309_20200315.tif (3840x2160) [7.5 MB] || tropomi_california_20200316_20200322.tif (3840x2160) [7.4 MB] || tropomi_california_20200323_20200329.tif (3840x2160) [7.3 MB] || tropomi_california_20200330_20200405.tif (3840x2160) [7.3 MB] || tropomi_california_20200406_20200412.tif (3840x2160) [7.4 MB] || tropomi_california_covid-19_2160p.mp4 (3840x2160) [8.3 MB] || tropomi_california_covid-19_1080p.hwshow [115 bytes] || ",
"release_date": "2020-05-08T00:00:00-04:00",
"update_date": "2024-10-11T00:30:01.631309-04:00",
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"alt_text": "TROPOMI Nitrogen Dioxide animation.",
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}
},
{
"id": 411865,
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"extra_data": null,
"instance": {
"id": 31142,
"url": "https://svs.gsfc.nasa.gov/31142/",
"page_type": "Hyperwall Visual",
"title": "COVID-19: NASA Satellite Data Show Drop in Air Pollution Over U.S.",
"description": "Tropospheric NO2 Column, March 15-April 15 2015-2019 average vs. 2020, USA regions || 3-regions_1080p.00001_print.jpg (1024x576) [141.7 KB] || 3-regions_1080p.00001_searchweb.png (320x180) [62.9 KB] || 3-regions_1080p.00001_thm.png (80x40) [5.2 KB] || 3-regions_1080p.mp4 (1920x1080) [1.9 MB] || 3-regions_720p.mp4 (1280x720) [1.0 MB] || 3-regions_1080p.webm (1920x1080) [2.3 MB] || 3-regions_2160p.mp4 (3840x2160) [5.6 MB] || ",
"release_date": "2020-05-18T00:00:00-04:00",
"update_date": "2024-11-12T12:00:33.545609-05:00",
"main_image": {
"id": 384989,
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"filename": "3-regions_1080p.00001_print.jpg",
"media_type": "Image",
"alt_text": "Tropospheric NO2 Column, March 15-April 15 2015-2019 average vs. 2020, USA regions",
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}
}
],
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