{ "count": 112, "next": "https://svs.gsfc.nasa.gov/api/search/?limit=100&offset=100&search=GMAO", "previous": null, "results": [ { "id": 5639, "url": "https://svs.gsfc.nasa.gov/5639/", "result_type": "Visualization", "release_date": "2026-06-08T22:00:00-04:00", "title": "Daily Visualizations of the Largest Wildfires in the United States: 2026", "description": "Wildland fires pose significant threats to ecosystems, property, and human lives. Leveraging NASA’s satellite data, advanced models, visualization capacity and computing power, we analyze fire events, monitor how weather conditions impact fires and how regional air quality affects communities. Through this webpage we offer daily updated visualizations of the two largest active wildfires events in the continental United States throughout fire season.", "hits": 835 }, { "id": 5624, "url": "https://svs.gsfc.nasa.gov/5624/", "result_type": "Visualization", "release_date": "2026-05-29T18:59:59-04:00", "title": "Global Smoke Forecast Visualization (Daily Updated)", "description": "This daily global wildfire smoke visualization uses NASA's GEOS-FP model to show smoke transport patterns from yesterday through four days ahead. The visualization shows wildfire smoke intensity based on brown carbon aerosol optical depth, using a 0-1 scale with colors ranging from light brown/red to dark brown. Wildfire smoke contains dangerous PM2.5 particles and can travel thousands of miles, making tracking essential for understanding air quality impacts.", "hits": 596 }, { "id": 5631, "url": "https://svs.gsfc.nasa.gov/5631/", "result_type": "Visualization", "release_date": "2026-04-27T16:00:00-04:00", "title": "Long-range Transport of 2023 Canadian Wildfire Smoke into the Northeastern United States", "description": "In summer 2023, Canada experienced its most intense wildfire season on record. Smoke from wildfires in Alberta and Quebec was transported thousands of miles, driven by favorable meteorological conditions, resulting in record-breaking poor air quality across the northeastern United States. This animation, powered by NASA's GEOS model, visualizes aerosol transport from May 31 – July 7, 2023 — the period of most dramatic impact on eastern U.S. air quality.", "hits": 323 }, { "id": 5596, "url": "https://svs.gsfc.nasa.gov/5596/", "result_type": "Visualization", "release_date": "2026-01-27T17:00:00-05:00", "title": "Tracking Weather Extremes: December 2025 Pacific Northwest Flooding", "description": "Created with NASA's GEOS data, this visualization shows the December 2025 atmospheric river that brought extreme precipitation to the Pacific Northwest. The analysis displays total precipitable water from the Pacific Ocean and resulting precipitation across Washington, Oregon, British Columbia, and Montana. This Category 5 atmospheric river delivered up to 10 inches of rain and forced over 100,000 evacuations in Washington state.", "hits": 253 }, { "id": 5601, "url": "https://svs.gsfc.nasa.gov/5601/", "result_type": "Visualization", "release_date": "2026-01-02T12:27:00-05:00", "title": "Wyoming Red Canyon wildfire: 2025 Year in Review", "description": "Part of our 2025 Year in Review series examining major wildfire events, this analysis focuses on the August 2025 Red Canyon wildfire in Wyoming. Leveraging NASA's satellite data, advanced models, visualization capacity and computing power, we examine how weather conditions impacted this fire and how regional air quality affected surrounding communities.", "hits": 83 }, { "id": 5598, "url": "https://svs.gsfc.nasa.gov/5598/", "result_type": "Visualization", "release_date": "2025-12-31T11:26:00-05:00", "title": "Grand Canyon Dragon Bravo Megafire: 2025 Year in Review", "description": "Part of our 2025 Year in Review series examining major wildfire events, this analysis focuses on the July 2025 Dragon Bravo megafire at the North Rim of Grand Canyon National Park in Arizona. The analysis leverages NASA's satellite data, models, and computing power to reveal fire behavior and impacts. Five visualization assets show fire information, black carbon dispersal, air quality effects, weather conditions, and progression, demonstrating how technology helps understand wildfire dynamics.", "hits": 205 }, { "id": 5597, "url": "https://svs.gsfc.nasa.gov/5597/", "result_type": "Visualization", "release_date": "2025-12-30T17:18:00-05:00", "title": "Los Angeles Palisades and Eaton Wildfires: 2025 Year in Review", "description": "Part of our 2025 Year in Review series examining major wildfire events, this analysis of the January 2025 Los Angeles Palisades and Eaton wildfires leverages NASA's satellite data, models, and computing power to reveal fire behavior and impacts. Five visualization assets show fire information, black carbon dispersal, air quality effects, weather conditions, and progression, demonstrating how technology helps understand wildfire dynamics.", "hits": 598 }, { "id": 5595, "url": "https://svs.gsfc.nasa.gov/5595/", "result_type": "Visualization", "release_date": "2025-12-29T15:50:00-05:00", "title": "Tracking Weather Extremes: July 2025 Texas Precipitation and Guadalupe River Flooding", "description": "Created with NASA's GEOS-FP 2km replay data, this visualization shows extreme precipitation across Texas from June 30 - July 5, 2025. The Hunt City, marked on the visualization, experienced 6.5 inches of rain in three hours on July 4th, triggering catastrophic Guadalupe River flooding that reached record-breaking levels of 37.52 feet - the highest ever recorded at this location.", "hits": 399 }, { "id": 5594, "url": "https://svs.gsfc.nasa.gov/5594/", "result_type": "Visualization", "release_date": "2025-12-29T15:00:00-05:00", "title": "Los Angeles Palisades Wildfire, January 2025: Black Carbon, Weather, and Air Quality", "description": "NASA GEOS model visualization showing black carbon dispersal from the Palisades Fire overlaid with regional weather patterns and air quality indicators, January 2-14, 2025.", "hits": 428 }, { "id": 5593, "url": "https://svs.gsfc.nasa.gov/5593/", "result_type": "Visualization", "release_date": "2025-12-29T13:00:00-05:00", "title": "Tracking Weather Extremes: May 2025 Tornadoes and Flooding Across the Continental United States", "description": "Created with NASA's GEOS-FP 2km replay model, this visualization tracks May 2025's severe weather across the continental US. The visualization maps tornado paths and 24-hour precipitation data, revealing how tornadic activity and heavy rainfall combined to create compound disasters affecting communities from the Great Plains to the Southeast.", "hits": 267 }, { "id": 5424, "url": "https://svs.gsfc.nasa.gov/5424/", "result_type": "Visualization", "release_date": "2025-09-22T07:00:00-04:00", "title": "The Different Sources of Atmospheric Methane", "description": "This data visualization shows methane (CH₄) in the Earth’s atmosphere during 2021. The colors represent contributions from different sources: agriculture and waste (fuchsia), industry (blue), wetlands (green), wildfires and cropland fires (yellow), and other natural sources (gray).", "hits": 250 }, { "id": 5557, "url": "https://svs.gsfc.nasa.gov/5557/", "result_type": "Visualization", "release_date": "2025-09-08T16:30:00-04:00", "title": "Daily Visualizations of the Largest Wildfires in the United States: 2025", "description": "Wildland fires pose significant threats to ecosystems, property, and human lives. Leveraging NASA’s satellite data, advanced models, visualization capacity and computing power, we analyze fire events, monitor how weather conditions impact fires and how regional air quality affects communities. Through this webpage we offer daily updated visualizations of the two largest active wildfires events in the continental United States throughout fire season.", "hits": 238 }, { "id": 5572, "url": "https://svs.gsfc.nasa.gov/5572/", "result_type": "Visualization", "release_date": "2025-08-08T14:00:02-04:00", "title": "GEOS Aerosols", "description": "Aerosols are tiny solid or liquid particles that float in the atmosphere and can travel long distances, affecting air quality and visibility far from their sources. This visualization covers the period from August 1 to September 14, 2024, and is based on NASA's Goddard Earth Observing System (GEOS) model, which delivers realistic, high-resolution weather and aerosol data that enable customized environmental prediction and advances in AI research.", "hits": 539 }, { "id": 5554, "url": "https://svs.gsfc.nasa.gov/5554/", "result_type": "Visualization", "release_date": "2025-07-11T12:25:00-04:00", "title": "Atmospheric Methane Tagged by Source for Science on a Sphere", "description": "This data visualization shows methane in Earth's atmosphere during 2021. The colors represent different sources: agriculture and waste (fuchsia), industry (blue), wetlands (green), burning forests and farmlands (yellow) and other natural (gray). Advanced computer modeling techniques at NASA's Global Modeling and Assimilation Office allow us to view the distribution of CH4 sources to better understand how methane moves through Earth’s systems.", "hits": 64 }, { "id": 5552, "url": "https://svs.gsfc.nasa.gov/5552/", "result_type": "Visualization", "release_date": "2025-06-23T09:00:00-04:00", "title": "Science On A Sphere: Aerosols in the Air", "description": "NASA merges observations, advanced models and computing power to monitor aerosols in the atmosphere. Aerosols are tiny invisible solid or liquid particles that float in the atmosphere and can travel long distances affecting air quality and visibility far from their source. These particles come from natural and human sources and include black carbon (orange/red), sea salt (cyan), dust (magenta) and sulfates (green).", "hits": 505 }, { "id": 5533, "url": "https://svs.gsfc.nasa.gov/5533/", "result_type": "Visualization", "release_date": "2025-05-05T12:30:00-04:00", "title": "Air Quality Model Runs", "description": "NASA utilizes satellite instruments and models to monitor sources of air pollutants and their movement through the atmosphere. This visualization shows concentrations of air pollutants, such as Particulate Matter (PM2.5, fine particles smaller than 2.5 micrometers), Ozone (O~3~), Carbon Monoxide (CO), and Nitrogen Oxides (NO~x~) as they are tracked from NASA's Goddard Earth Observing System Composition Forecasting (GEOS-CF) system.", "hits": 130 }, { "id": 5518, "url": "https://svs.gsfc.nasa.gov/5518/", "result_type": "Visualization", "release_date": "2025-05-05T11:30:00-04:00", "title": "Science On A Sphere: Air Quality Model Runs", "description": "NASA utilizes satellite instruments and models to monitor sources of air pollutants and their movement through the atmosphere. This visualization shows concentrations of air pollutants, such as Particulate Matter (PM2.5, fine particles smaller than 2.5 micrometers), Ozone (O~3~), Carbon Monoxide (CO), and Nitrogen Oxides (NO~x~) as they are tracked from NASA's Goddard Earth Observing System Composition Forecasting (GEOS-CF) system.", "hits": 157 }, { "id": 31327, "url": "https://svs.gsfc.nasa.gov/31327/", "result_type": "Hyperwall Visual", "release_date": "2024-12-23T12:30:00-05:00", "title": "GMAO – Topographic Resolution Over the Contiguous United States", "description": "TOPO resolution over CONUS || 3840x2160_16x9_30p [0 Item(s)] || Topo resolution over CONUS ||", "hits": 41 }, { "id": 31322, "url": "https://svs.gsfc.nasa.gov/31322/", "result_type": "Hyperwall Visual", "release_date": "2024-11-18T00:00:00-05:00", "title": "GMAO Modeled vs Observed Severe Storms", "description": "gmao-accun-uphelicity_print.jpg (1024x576) [182.6 KB] || gmao-accun-uphelicity.png (3840x2160) [2.7 MB] || 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"Hyperwall Visual", "release_date": "2024-11-18T00:00:00-05:00", "title": "GMAO Band09 Obs Caribbean GMAO vs. GOES", "description": "GMAO Caribbean GOES vs GMAO || 3840x2160_16x9_30p [0 Item(s)] || GMAO Band09 Obs Caribbean GMAO vs. GOES ||", "hits": 19 }, { "id": 31325, "url": "https://svs.gsfc.nasa.gov/31325/", "result_type": "Hyperwall Visual", "release_date": "2024-11-18T00:00:00-05:00", "title": "GMAO vs GOES Radar Reflectivity", "description": "GMAO vs GOES Radar Reflectivity || 3840x2160_16x9_30p [0 Item(s)] || GMAO vs GOES Radar Reflectivity ||", "hits": 33 }, { "id": 31326, "url": "https://svs.gsfc.nasa.gov/31326/", "result_type": "Hyperwall Visual", "release_date": "2024-11-18T00:00:00-05:00", "title": "GMAO South American Wild Fires", "description": "GMAO South American Wild Fires || 3840x2160_16x9_30p [0 Item(s)] || GMAO SOuth American Wild Fires ||", "hits": 33 }, { "id": 31328, "url": "https://svs.gsfc.nasa.gov/31328/", "result_type": "Hyperwall Visual", "release_date": "2024-11-18T00:00:00-05:00", "title": "GMAO – US tornadoes", "description": "GMAO US Tornadoes || 3840x2160_16x9_30p [0 Item(s)] || US tornadoes || gmao-us-tornadoes_print.jpg (1024x576) [308.3 KB] || gmao-us-tornadoes.png (3840x2160) [14.1 MB] || gmao-us-tornadoes_searchweb.png (320x180) [111.9 KB] || gmao-us-tornadoes_thm.png (80x40) [7.0 KB] || gmao-us-tornadoes_1080p30.mp4 (1920x1080) [72.8 MB] || gmao-us-tornadoes_1080p30.webm (1920x1080) [4.3 MB] || gmao-us-tornadoes_2160p30.mp4 (3840x2160) [249.5 MB] ||", "hits": 29 }, { "id": 31329, "url": "https://svs.gsfc.nasa.gov/31329/", "result_type": "Hyperwall Visual", "release_date": "2024-11-18T00:00:00-05:00", "title": "GMAO South Pole Potential Vorticity Reanalysis", "description": "GMAO South Pole PV Reanalysis || 3840x2160_16x9_30p [0 Item(s)] || GMAO South Pole pv Reanalysis ||", "hits": 28 }, { "id": 31321, "url": "https://svs.gsfc.nasa.gov/31321/", "result_type": "Hyperwall Visual", "release_date": "2024-11-16T00:00:00-05:00", "title": "GMAO Africa Dust AQ", "description": "GMAO Africa Dust AQ 2024 run || 3840x2160_16x9_60p [0 Item(s)] || GMAO Africa Dust AQ || gmao-africa-dust-aq_print.jpg (1024x576) [172.3 KB] || gmao-africa-dust-aq.png (3840x2160) [4.5 MB] || gmao-africa-dust-aq_searchweb.png (320x180) [91.8 KB] || gmao-africa-dust-aq_thm.png (80x40) [7.0 KB] || gmao-africa-dust-aq_1080p60.mp4 (1920x1080) [14.5 MB] || gmao-africa-dust-aq_1080p60.webm (1920x1080) [2.2 MB] || gmao-africa-dust-aq_2160p60.mp4 (3840x2160) [46.8 MB] ||", "hits": 50 }, { "id": 31309, "url": "https://svs.gsfc.nasa.gov/31309/", "result_type": "Hyperwall Visual", "release_date": "2024-09-23T00:00:00-04:00", "title": "GEOS-FP May 2024 US Tornado Outbreak", "description": "Visualization of model output for severe weather in May 2024 in the US || us_tornadoes_sw-2024-003.nasa.gmao.geos-fp.conus_2km_replay.max_uphelicity.2160p_print.jpg (1024x576) [347.0 KB] || 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14631_DYAMONDThumbnailHorz.jpg (1280x720) [291.1 KB] || 14631_DYAMONDThumbnailHorz_print.jpg (1024x576) [222.2 KB] || 14631_DYAMONDThumbnailHorz_searchweb.png (320x180) [91.4 KB] || 14631_DYAMONDThumbnailHorz_thm.png (80x40) [7.1 KB] || 14631_dyamondhorz_US.en.en_US.srt [2.3 KB] || 14631_dyamondhorz_US.en.en_US.vtt [2.2 KB] || 14631_DYAMOND_Horz.webm (3840x2160) [32.4 MB] || 14631_DYAMOND_Horz.mp4 (3840x2160) [267.6 MB] || ", "hits": 407 }, { "id": 5273, "url": "https://svs.gsfc.nasa.gov/5273/", "result_type": "Visualization", "release_date": "2024-04-22T00:00:00-04:00", "title": "Atmospheric Carbon Dioxide Tagged by Source for Science-on-a-Sphere", "description": "Carbon dioxide (CO2) is the most prevalent greenhouse gas driving global climate change. However, its increase in the atmosphere would be even more rapid without land and ocean carbon sinks, which collectively absorb about half of human emissions every year. Advanced computer modeling techniques in NASA's Global Modeling and Assimilation Office allow us to disentangle the influences of sources and sinks and to better understand where carbon is coming from and going to.", "hits": 165 }, { "id": 5147, "url": "https://svs.gsfc.nasa.gov/5147/", "result_type": "Visualization", "release_date": "2023-09-26T17:00:00-04:00", "title": "GEOS-FP Near-Surface Temperature", "description": "Near-surface temperature is calculated by sampling 3-D atmospheric fields from NASA’s GEOS-FP system 3 meters above Earth’s surface. GEOS-FP combines millions of weather observations with a predictive model to create a global best estimate of weather conditions that are used to begin a forecast.", "hits": 150 }, { "id": 5148, "url": "https://svs.gsfc.nasa.gov/5148/", "result_type": "Visualization", "release_date": "2023-09-26T17:00:00-04:00", "title": "GEOS-FP Near-Surface Wind Speed", "description": "Near-surface wind speed is calculated by sampling 3-D atmospheric fields from NASA’s GEOS-FP system 10 meters above Earth’s surface. GEOS-FP combines millions of weather observations with a predictive model to create a global best estimate of weather conditions that are used to begin a forecast.", "hits": 163 }, { "id": 5149, "url": "https://svs.gsfc.nasa.gov/5149/", "result_type": "Visualization", "release_date": "2023-09-26T17:00:00-04:00", "title": "GEOS-FP Precipitation and Clouds", "description": "Precipitation and clouds are calculated using fields from NASA’s GEOS-FP system. GEOS-FP combines millions of weather observations with a predictive model to create a global best estimate of weather conditions, which can be used to estimate the formation of clouds along with rain and snowfall.", "hits": 81 }, { "id": 5150, "url": "https://svs.gsfc.nasa.gov/5150/", "result_type": "Visualization", "release_date": "2023-09-26T17:00:00-04:00", "title": "GEOS-FP Near-Surface Humidity", "description": "Near-surface Humidity, also known as specific humidity (Q2M) from NASA’s GEOS-FP system. GEOS-FP combines millions of weather observations with a predictive model to create a global best estimate of weather conditions that are used to begin a forecast.", "hits": 220 }, { "id": 5151, "url": "https://svs.gsfc.nasa.gov/5151/", "result_type": "Visualization", "release_date": "2023-09-26T17:00:00-04:00", "title": "Particulate Matter (PM) 2.5", "description": "Near surface concentration of fine particular matter (PM2.5) estimated from NASA’s aerosol and weather fields produced by NASA’s GEOS-CF model.", "hits": 320 }, { "id": 5152, "url": "https://svs.gsfc.nasa.gov/5152/", "result_type": "Visualization", "release_date": "2023-09-26T17:00:00-04:00", "title": "Near surface Ozone (O3)", "description": "Near surface concentration of ozone (O3) estimated by NASA’s GEOS-CF model.", "hits": 155 }, { "id": 5153, "url": "https://svs.gsfc.nasa.gov/5153/", "result_type": "Visualization", "release_date": "2023-09-26T17:00:00-04:00", "title": "Carbon Monoxide (CO)", "description": "Near surface concentration of carbon monoxide (CO) estimated by NASA’s GEOS-CF model.", "hits": 116 }, { "id": 5154, "url": "https://svs.gsfc.nasa.gov/5154/", "result_type": "Visualization", "release_date": "2023-09-26T17:00:00-04:00", "title": "Nitrogen Oxides (NOx)", "description": "Near surface concentration of Nitrogen Oxides (NOx) estimated from concentrations of nitrogen oxide and nitrogen dioxide produced by NASA’s GEOS-CF model.", "hits": 238 }, { "id": 5141, "url": "https://svs.gsfc.nasa.gov/5141/", "result_type": "Visualization", "release_date": "2023-09-22T00:00:00-04:00", "title": "Sea Surface Salinity Near The Maritime Continent", "description": "This animation of sea surface salinity shows the flow of freshwater from the Pacific into the Indian Ocean. The flow of freshwater (low salinity, blue color in 30-32 range) through narrow gaps of the maritime continent is known as Indonesian Throughflow. || sss.2020110117_print.jpg (1024x576) [172.0 KB] || sss.2020110117.png (5760x3240) [3.0 MB] || sss.2020110117_searchweb.png (320x180) [94.3 KB] || sss.2020110117_thm.png (80x40) [8.5 KB] || fixed_sss_1080p60_h265.mp4 (1920x1080) [88.2 MB] || 5760x3240_16x9_30p (5760x3240) [1.0 MB] || 3840x2160_16x9_30p (3840x2160) [1.0 MB] || fixed_sss_2160p60.mp4 (3840x2160) [482.0 MB] || ", "hits": 277 }, { "id": 5158, "url": "https://svs.gsfc.nasa.gov/5158/", "result_type": "Visualization", "release_date": "2023-09-11T15:00:00-04:00", "title": "Hurriances Idalia and Franklin Wind Flows", "description": "Particles released in the wind field mark the trajectory and evolution of Hurricanes Idalia and Franklin. The particles are color coded based on the magnitude of the wind velocity vectors from blue to red indicating low to high wind speeds. || hurricane_idalia_winds.4k_p60.02200_print.jpg (1024x576) [365.2 KB] || hurricane_idalia_winds.4k_p60.02200_searchweb.png (320x180) [117.4 KB] || hurricane_idalia_winds.4k_p60.02200_thm.png (80x40) [6.6 KB] || 1920x1080_16x9_60p (1920x1080) [256.0 KB] || 3840x2160_16x9_60p (3840x2160) [256.0 KB] || hurricane_idalia_winds_1920x1080_p60.mp4 (1920x1080) [355.1 MB] || hurricane_idalia_winds.4k_p60.mp4 (3840x2160) [1.4 GB] || ", "hits": 42 }, { "id": 40503, "url": "https://svs.gsfc.nasa.gov/gallery/hyperwall-power-playlist-earth-science/", "result_type": "Gallery", "release_date": "2023-08-28T00:00:00-04:00", "title": "Hyperwall Power Playlist - Earth Science Focus", "description": "This is a collection of our most powerful, newsworthy, and frequently used Hyperwall-ready visualizations, along with several that haven't gotten the attention they deserve. They're especially great for more general or top-level science talks, or to \"set the scene\" before a deep dive into a more focused subject or dataset. We've tried to cover the subject areas our speakers focus on most. \n\nIf you're not seeing what you're looking for, there is a huge library of visualizations more localized or specialized in subject - please use the Search function above, and filter \"Result type\" for \"Hyperwall Visual.\"\n\n If you'd like to use one of these visualizations in your Hyperwall presentation, we'll need to know which element on which page. On the visualization's web page, below the visual you'd like to use, you'll see a Link icon next to the Download button. All we need is for you to click on that icon and include that link in your presentation Powerpoint/Keynote or visualization list. Additionally, please check our Hyperwall How-To Guide for tips on designing your Hyperwall presentation, file specifications, and Powerpoint/Keynote templates.", "hits": 243 }, { "id": 31234, "url": "https://svs.gsfc.nasa.gov/31234/", "result_type": "Hyperwall Visual", "release_date": "2023-07-22T00:00:00-04:00", "title": "Column Carbon Monoxide (CO) from Canada Wildfires", "description": "Column CO from Canada Wildfires || goes-fp-cobbna-nam-jun2023_00000_print.jpg (1024x576) [154.9 KB] || goes-fp-cobbna-nam-jun2023_00000_searchweb.png (320x180) [85.6 KB] || goes-fp-cobbna-nam-jun2023_00000_thm.png (80x40) [6.3 KB] || goes-fp-cobbna-nam-jun2023_1080p30.mp4 (1920x1080) [11.6 MB] || goes-fp-cobbna-nam-jun2023_1080p30.webm (1920x1080) [2.4 MB] || 3840x2160_16x9_30p (3840x2160) [0 Item(s)] || goes-fp-cobbna-nam-jun2023_2160p30.mp4 (3840x2160) [35.4 MB] || earth_observations_5x3.hwshow [570 bytes] || ", "hits": 204 }, { "id": 5118, "url": "https://svs.gsfc.nasa.gov/5118/", "result_type": "Visualization", "release_date": "2023-06-20T22:00:00-04:00", "title": "Trends in atmospheric Methane (CH₄)", "description": "Global trends in atmospheric Methane (CH₄) for the period July 1983-December 2022. || CH4Trends_1920x1080p30.00900_print.jpg (1024x576) [64.5 KB] || CH4Trends_1920x1080p30.00900.png (1920x1080) [766.2 KB] || CH4Trends_1920x1080p30.00900_searchweb.png (320x180) [26.3 KB] || CH4Trends_1920x1080p30.00900_thm.png (80x40) [3.5 KB] || CH4_Trends_1920x1080.mp4 (1920x1080) [4.4 MB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || CH4Trends_1920x1080p30.00900.exr (1920x1080) [1.7 MB] || ", "hits": 168 }, { "id": 5117, "url": "https://svs.gsfc.nasa.gov/5117/", "result_type": "Visualization", "release_date": "2023-06-20T21:00:00-04:00", "title": "Trends in atmospheric Nitrous Oxide (N₂O)", "description": "Global trends in atmospheric Nitrous Oxide (N₂O) for the period January 2001-December 2022. || N2OTrends_1920x1080p30.00900_print.jpg (1024x576) [60.7 KB] || N2OTrends_1920x1080p30.00900.png (1920x1080) [685.4 KB] || N2OTrends_1920x1080p30.00900_searchweb.png (320x180) [24.2 KB] || N2OTrends_1920x1080p30.00900_thm.png (80x40) [3.0 KB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || N2O_Trends_1920x1080p30.mp4 (1920x1080) [7.4 MB] || N2OTrends_1920x1080p30.00900.exr (1920x1080) [1.8 MB] || ", "hits": 98 }, { "id": 5116, "url": "https://svs.gsfc.nasa.gov/5116/", "result_type": "Visualization", "release_date": "2023-06-20T16:00:00-04:00", "title": "Global Atmospheric Methane (CH₄)", "description": "Volumetric visualization of the total Methane (CH₄) on a global scale added on Earth's atmosphere over the course of the year 2021. || TotalCH4_Comp_1920x19020p30_00080.png (1920x1920) [2.5 MB] || TotalCH4_Comp_1920x19020p30_00080_print.jpg (1024x1024) [114.9 KB] || VolumetricCH4_Composite (1920x1920) [0 Item(s)] || VolumetricCH4_Composite_1920x19020p30.mp4 (1920x1920) [353.5 MB] || ", "hits": 341 }, { "id": 5115, "url": "https://svs.gsfc.nasa.gov/5115/", "result_type": "Visualization", "release_date": "2023-06-20T15:00:00-04:00", "title": "Global Atmospheric Carbon Dioxide (CO₂)", "description": "Volumetric visualization of the total carbon dioxide (CO₂) on a global scale added on Earth's atmosphere over the course of the year 2021. || TotalCO2_Comp_1920x1920p30_00080.png (1920x1920) [3.2 MB] || TotalCO2_Comp_1920x1920p30_00080_print.jpg (1024x1024) [168.5 KB] || VolumetricCO2_Composite (1920x1920) [0 Item(s)] || VolumetricCO2_Composite_1920x1920p30.mp4 (1920x1920) [806.2 MB] || ", "hits": 652 }, { "id": 5110, "url": "https://svs.gsfc.nasa.gov/5110/", "result_type": "Visualization", "release_date": "2023-06-16T10:00:00-04:00", "title": "Atmospheric Carbon Dioxide Tagged by Source", "description": "Carbon dioxide (CO2) is the most prevalent greenhouse gas driving global climate change. However, its increase in the atmosphere would be even more rapid without land and ocean carbon sinks, which collectively absorb about half of human emissions every year. Advanced computer modeling techniques in NASA's Global Modeling and Assimilation Office allow us to disentangle the influences of sources and sinks and to better understand where carbon is coming from and going to. ||", "hits": 819 }, { "id": 5022, "url": "https://svs.gsfc.nasa.gov/5022/", "result_type": "Visualization", "release_date": "2023-02-24T16:00:00-05:00", "title": "OCO-2 Gridded Global Carbon Dioxide (CO₂)", "description": "Data visualization of global carbon dioxide (CO₂) for the period January 2015-February 2022, showcasing data from NASA's Obriting Carbon Observatory 2 (OCO-2) Gridded/Level 3 product. || oco2_3840x2160p60.1618_print.jpg (1024x576) [112.6 KB] || oco2_3840x2160p60.1618.png (3840x2160) [6.1 MB] || oco2_3840x2160p60.1618_print_searchweb.png (320x180) [53.9 KB] || oco2_3840x2160p60.1618_print_thm.png (80x40) [4.4 KB] || Composite (3840x2160) [0 Item(s)] || Composite (3840x2160) [0 Item(s)] || oco2_3840x2160p30.mp4 (3840x2160) [46.0 MB] || oco2_3840x2160_p60.mp4 (3840x2160) [45.1 MB] || oco2_3840x2160_p60.webm (3840x2160) [13.5 MB] || ", "hits": 169 }, { "id": 5043, "url": "https://svs.gsfc.nasa.gov/5043/", "result_type": "Visualization", "release_date": "2022-11-02T08:00:00-04:00", "title": "Methane Emissions over Canada and Alaska in the 2018", "description": "This 3D volumetric visualization shows the emission and transport of atmospheric methane over Canada and Alaska in September 2018 with the date and colorbar. || methane_withDate.0068_print.jpg (1024x576) [282.8 KB] || methane_withDate.0068_searchweb.png (320x180) [94.8 KB] || methane_withDate.0068_thm.png (80x40) [14.7 KB] || methane_withDate (1920x1080) [0 Item(s)] || methane_withDate_1080p30.webm (1920x1080) [1.3 MB] || methane_withDate_1080p30.mp4 (1920x1080) [131.3 MB] || methane_withDate_1080p30.mp4.hwshow || ", "hits": 55 }, { "id": 40447, "url": "https://svs.gsfc.nasa.gov/gallery/visualizationsfor-educators/", "result_type": "Gallery", "release_date": "2022-08-17T00:00:00-04:00", "title": "Visualizations for Educators", "description": "Phenomena are observable events that occur in nature. Data visualizations can offer new ways for students to experience and explore Earth and space phenomena that happen over large scales of time and at great distances. This gallery includes visualizations of phenomena that support topics that are taught in middle and high school and are aligned with select Next Generation Science Standards.\n\n\nThis gallery was curated by Anne Arundle County Science Teachers Margaret Graham and Jeremy Milligan with support from Dr. Rachel Connolly during the summer of 2022. A video showing how Jeremy Milligan uses SVS resources to develop a phenomena-based lesson is also available.", "hits": 211 }, { "id": 14177, "url": "https://svs.gsfc.nasa.gov/14177/", "result_type": "Produced Video", "release_date": "2022-07-19T11:00:00-04:00", "title": "How Climate Patterns Thousands of Miles Away Affect US Bird Migration", "description": "Stock footage: Pond5Radar video courtesy of Dr. Kyle Horton, Colorado State UniversityUniversal Production Music: “Two Ticks” by Michael Lesirge [PRS] and Tarek Christopher Modi [PRS]This video can be freely shared and downloaded. While the video in its entirety can be shared without permission, some individual imagery provided by pond5.com and CSU is obtained through permission and may not be excised or remixed in other products. For more information on NASA’s media guidelines, visit https://www.nasa.gov/multimedia/guidelines/index.htmlComplete transcript available. || 14177_BirdMigration_Thumb.jpg (1920x1080) [268.4 KB] || 14177_BirdMigration_Thumb_print.jpg (1024x576) [130.4 KB] || 14177_BirdMigration_Thumb_searchweb.png (320x180) [64.3 KB] || 14177_BirdMigration_Thumb_web.png (320x180) [64.3 KB] || 14177_BirdMigration_Thumb_thm.png (80x40) [6.5 KB] || BirdMigration.mov (1920x1080) [4.0 GB] || BirdMigration.webm (960x540) [50.2 MB] || BirdMigration.mp4 (1920x1080) [380.5 MB] || TWITTER_720_BirdMigration.mp4 (1280x720) [35.5 MB] || YOUTUBE_1080_BirdMigration.mp4 (1920x1080) [289.5 MB] || 14177_BirdMigration_EN.US.en_US.srt [3.9 KB] || 14177_BirdMigration_EN.US.en_US.vtt [3.7 KB] || ", "hits": 62 }, { "id": 4983, "url": "https://svs.gsfc.nasa.gov/4983/", "result_type": "Visualization", "release_date": "2022-04-11T12:00:00-04:00", "title": "Global Carbon Dioxide 2020-2021 for Hyperwalls", "description": "This webpage provides a wide aspect ratio version of: Global Carbon Dioxide 2020-2021, released on November 2, 2021. This version has been created for wide aspect ratio display systems with resolution up to 9600x3240. It is recommended to use content from this version for display systems with 16:9 aspect ratio. || ", "hits": 54 }, { "id": 4949, "url": "https://svs.gsfc.nasa.gov/4949/", "result_type": "Visualization", "release_date": "2021-11-02T00:00:00-04:00", "title": "Global Carbon Dioxide 2020-2021", "description": "Data visualization featuring volumetric carbon dioxide on a global scale for the period June 1, 2020 - July 31, 2021.Coming soon to our YouTube channel. || CO2Volumetric_1024x576_02582_print.jpg (1024x576) [90.6 KB] || CO2Volumetric_1024x576_02582.png (1024x576) [569.1 KB] || CO2Volumetric_1024x576_02582_searchweb.png (180x320) [60.0 KB] || CO2Volumetric_1024x576_02582_thm.png (80x40) [5.1 KB] || CO2Volumetric_1920x1080p30.mp4 (1920x1080) [65.3 MB] || CO2Volumetric_1920x1080p30.webm (1920x1080) [13.3 MB] || 3840x2160_16x9_30p (3840x2160) [0 Item(s)] || CO2Volumetric_3840x2160_30fps_02582.exr (3840x2160) [63.3 MB] || CO2Volumetric_3840x2160_30fps_02582.tif (3840x2160) [44.5 MB] || captions_silent.31831.en_US.srt [43 bytes] || CO2Volumetric_3840x2160p30.mp4 (3840x2160) [931.2 MB] || ", "hits": 92 }, { "id": 12772, "url": "https://svs.gsfc.nasa.gov/12772/", "result_type": "Produced Video", "release_date": "2021-05-05T10:25:00-04:00", "title": "2017 Hurricanes and Aerosols Simulation", "description": "Tracking aerosols over land and water from August 1 to November 1, 2017. Hurricanes and tropical storms are obvious from the large amounts of sea salt particles caught up in their swirling winds. The dust blowing off the Sahara, however, gets caught by water droplets and is rained out of the storm system. Smoke from the massive fires in the Pacific Northwest region of North America are blown across the Atlantic to the UK and Europe. This visualization is a result of combining NASA satellite data with sophisticated mathematical models that describe the underlying physical processes.Music: Elapsing Time by Christian Telford [ASCAP], Robert Anthony Navarro [ASCAP]Complete transcript available.Watch this video on the NASA Goddard YouTube channel. || 12772_hurricanes_and_aerosols_1080p_youtube_1080.00001_print.jpg (1024x576) [161.7 KB] || 12772_hurricanes_and_aerosols_1080p_youtube_1080.00001_searchweb.png (180x320) [108.8 KB] || 12772_hurricanes_and_aerosols_1080p_youtube_1080.00001_thm.png (80x40) [7.5 KB] || 12772_hurricanes_and_aerosols_appletv.m4v (1280x720) [78.1 MB] || 12772_hurricanes_and_aerosols_twitter_720.mp4 (1280x720) [34.1 MB] || 12772_hurricanes_and_aerosols.webm (960x540) [65.0 MB] || 12772_hurricanes_and_aerosols_appletv_subtitles.m4v (1280x720) [78.1 MB] || 12772_hurricanes_and_aerosols_1080p_large.mp4 (1920x1080) [163.1 MB] || 12772_hurricanes_and_aerosols_facebook_720.mp4 (1280x720) [184.9 MB] || 12772_hurricanes_and_aerosols_youtube_1080.mp4 (1920x1080) [247.2 MB] || 12772_hurricanes_and_aerosols_youtube_720.mp4 (1280x720) [247.9 MB] || 12772_hurricanes_aerosols_captions.en_US.srt [3.1 KB] || 12772_hurricanes_aerosols_captions.en_US.vtt [3.1 KB] || 12772_hurricanes_and_aerosols_UHD.mp4 (3840x2160) [739.9 MB] || 12772_hurricanes_and_aerosols_1080p-prores.mov (1920x1080) [4.3 GB] || 12772_hurricanes_and_aerosols_UHD_4444.mov (3840x2160) [40.1 GB] || ", "hits": 225 }, { "id": 4890, "url": "https://svs.gsfc.nasa.gov/4890/", "result_type": "Visualization", "release_date": "2021-04-02T12:00:00-04:00", "title": "GeoCarb Observes Greenhouse Gasses from Geosynchronous Orbit", "description": "GeoCarb and OCO-2 measuring carbon dioxide from space || geocarb_HD_FINAL.4662_print.jpg (1024x576) [49.8 KB] || geocarb_HD_FINAL.4662_searchweb.png (320x180) [32.3 KB] || geocarb_HD_FINAL.4662_thm.png (80x40) [2.9 KB] || geocarb_HD_FINAL_1080p59.94.mp4 (1920x1080) [43.1 MB] || geocarb_HD_FINAL_1080p29.97.mp4 (1920x1080) [41.3 MB] || geocarb_HD_FINAL_1080p59.94.webm (1920x1080) [19.9 MB] || 1920x1080_16x9_60p (1920x1080) [1.0 MB] || 3840x2160_16x9_60p (3840x2160) [1.0 MB] || 5780x3240_16x9_30p (5760x3240) [1.0 MB] || geocarb_4k_FINAL_2160p59.94.mp4 (3840x2160) [135.4 MB] || ", "hits": 86 }, { "id": 4799, "url": "https://svs.gsfc.nasa.gov/4799/", "result_type": "Visualization", "release_date": "2020-07-09T14:00:00-04:00", "title": "Sources of Methane", "description": "This 3D volumetric visualization shows the emission and transport of atmospheric methane around the globe between December 9, 2017 and December 1, 2018.Music: \"Motion Blur\" by Sam Dobson [PRS]Complete transcript available.This video is also available on our YouTube channel. || Global_methane_narrated.1416_print.jpg (1024x576) [171.2 KB] || composite (1920x1080) [0 Item(s)] || MethaneNarrationSM.webm (1920x1080) [15.5 MB] || MethaneNarrationSM.mp4 (1920x1080) [171.1 MB] || MethaneCaptionsenUS.en_US.srt [2.0 KB] || MethaneCaptionsenUS.en_US.vtt [2.0 KB] || MethaneNarration.mov (1920x1080) [1.6 GB] || ", "hits": 680 }, { "id": 4798, "url": "https://svs.gsfc.nasa.gov/4798/", "result_type": "Visualization", "release_date": "2020-04-21T00:00:00-04:00", "title": "Earth Day 2020: Global Atmospheric Methane", "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] || ", "hits": 54 }, { "id": 40413, "url": "https://svs.gsfc.nasa.gov/gallery/earth-science-playlist/", "result_type": "Gallery", "release_date": "2020-04-01T00:00:00-04:00", "title": "Earth Science Playlist", "description": "No description available.", "hits": 10 }, { "id": 31100, "url": "https://svs.gsfc.nasa.gov/31100/", "result_type": "Hyperwall Visual", "release_date": "2020-03-30T00:00:00-04:00", "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] || ", "hits": 169 }, { "id": 4789, "url": "https://svs.gsfc.nasa.gov/4789/", "result_type": "Visualization", "release_date": "2020-03-23T10:00:00-04:00", "title": "Global Atmospheric Methane", "description": "This first 3D volumetric visualization focuses on several continents showing the emission and transport of atmospheric methane around the globe between January 1, 2017 and November 30, 2018. This video is also available on our YouTube channel. || Global_methane_comp.1320_print.jpg (1024x576) [163.2 KB] || Global_methane_comp_1080p30.webm (1920x1080) [22.1 MB] || composite (1920x1080) [0 Item(s)] || captions_silent.29083.en_US.srt [43 bytes] || Global_methane_comp_1080p30.mp4 (1920x1080) [1.4 GB] || Global_methane_comp_1080p30.mp4.hwshow || ", "hits": 95 }, { "id": 13567, "url": "https://svs.gsfc.nasa.gov/13567/", "result_type": "Produced Video", "release_date": "2020-03-06T09:00:00-05:00", "title": "How Does NASA Model Atmospheric Patterns?", "description": "Music: Favor by Victor Maitre [SACEM]Complete transcript available. || GMAOThumb.jpg (1920x1080) [251.3 KB] || GMAOThumb_print.jpg (1024x576) [131.2 KB] || GMAOThumb_searchweb.png (180x320) [82.2 KB] || GMAOThumb_web.png (320x180) [82.2 KB] || GMAOThumb_thm.png (80x40) [6.4 KB] || 13567_GMAO_Atmospheric_Model.mp4 (1920x1080) [88.5 MB] || 13567_GMAO_Atmospheric_Model.webm (1920x1080) [10.2 MB] || 13567_GMAO_Atmospheric_Model.mov (1920x1080) [673.0 MB] || captions.en_US.srt [1.3 KB] || captions.en_US.vtt [1.4 KB] || ", "hits": 36 }, { "id": 40388, "url": "https://svs.gsfc.nasa.gov/gallery/nasaearth-science/", "result_type": "Gallery", "release_date": "2019-09-13T10:53:37-04:00", "title": "NASA Earth Science", "description": "NASA’s Earth Science Division (ESD) missions help us to understand our planet’s interconnected systems, from a global scale down to minute processes. Working in concert with a satellite network of international partners, ESD can measure precipitation around the world, and it can employ its own constellation of small satellites to look into the eye of a hurricane. ESD technology can track dust storms across continents and mosquito habitats across cities.\n\nFor more information:\nhttps://science.nasa.gov/earth-science", "hits": 326 }, { "id": 13216, "url": "https://svs.gsfc.nasa.gov/13216/", "result_type": "Produced Video", "release_date": "2019-06-03T12:00:00-04:00", "title": "NASA Has Eyes On The Atlantic Hurricane Season", "description": "NASA has a unique and important view of hurricanes around the planet. Satellites and aircraft watch as storms form, travel across the ocean and sometimes, make landfall. After the hurricanes have passed, the satellites and aircraft see the aftermath of hurricanes, from downed forests to mass power loss. || ", "hits": 75 }, { "id": 4654, "url": "https://svs.gsfc.nasa.gov/4654/", "result_type": "Visualization", "release_date": "2018-12-14T12:00:00-05:00", "title": "Evolution of the Meteorological Observing System in the MERRA-2 Reanalysis", "description": "Meteorological Observing Systems, 1980 and 2018. Data is revealed within a moving 1.5 hour window centered on the time shown. || gmao_HW.00300_print.jpg (1024x345) [102.7 KB] || gmao_HW.00300_searchweb.png (320x180) [93.0 KB] || gmao_HW.00300_thm.png (80x40) [6.4 KB] || gmao_HW_1920_648p30.webm (1920x648) [11.9 MB] || gmao_HW_1920_648p30.mp4 (1920x648) [134.3 MB] || 9600x3240_80x27_30p (9600x3240) [0 Item(s)] || ", "hits": 54 }, { "id": 40365, "url": "https://svs.gsfc.nasa.gov/gallery/earth-science-oct2018-briefing/", "result_type": "Gallery", "release_date": "2018-10-18T00:00:00-04:00", "title": "Earth Science Overview Oct 2018 Briefing", "description": "No description available.", "hits": 68 }, { "id": 12983, "url": "https://svs.gsfc.nasa.gov/12983/", "result_type": "Produced Video", "release_date": "2018-08-27T12:00:00-04:00", "title": "Dust in the Wind", "description": "Dust, salt and smoke swirling in the air tell a story of summer 2017. || CoverStill.png (1920x1080) [2.3 MB] || CoverStill_1024x576.jpg (1024x576) [130.9 KB] || CoverStill_print.jpg (1024x576) [140.9 KB] || CoverStill_searchweb.png (320x180) [110.4 KB] || CoverStill_thm.png (80x40) [7.7 KB] || ", "hits": 37 }, { "id": 40348, "url": "https://svs.gsfc.nasa.gov/gallery/esddatafor-societal-benefits/", "result_type": "Gallery", "release_date": "2018-04-24T00:00:00-04:00", "title": "ESD data for Societal Benefit", "description": "No description available.", "hits": 146 }, { "id": 12718, "url": "https://svs.gsfc.nasa.gov/12718/", "result_type": "Produced Video", "release_date": "2018-04-16T12:00:00-04:00", "title": "Tracking El Niño", "description": "Follow changes in sea surface temperature and ocean currents during El Niño. || GMAO_elNino_oceanTemperatureAnomaly_currents__0191_1024x576.jpg (1024x576) [115.4 KB] || GMAO_elNino_oceanTemperatureAnomaly_currents__0191_1920x1080.jpg (1920x1080) [360.7 KB] || GMAO_elNino_oceanTemperatureAnomaly_currents__0191_searchweb.png (320x180) [78.9 KB] || GMAO_elNino_oceanTemperatureAnomaly_currents__0191_thm.png (80x40) [6.2 KB] || GMAO_elNino_oceanTemperatureAnomaly_currents__0191.tif (3840x2160) [23.7 MB] || ", "hits": 510 }, { "id": 30910, "url": "https://svs.gsfc.nasa.gov/30910/", "result_type": "Hyperwall Visual", "release_date": "2017-11-13T00:00:00-05:00", "title": "Simulation of Aerosols During the 2017 North Atlantic Hurricane Season", "description": "This animation shows the effects of hurricanes on dust, smoke, and sea salt. || plot_aerosols-northamerica_F517R06K-GEOS_06KM-REPLAY-20170915_1200_print.jpg (1024x567) [160.5 KB] || plot_aerosols-northamerica_F517R06K-GEOS_06KM-REPLAY-20170915_1200.png (5760x3190) [18.1 MB] || plot_aerosols-northamerica_F517R06K-GEOS_06KM-REPLAY-20170915_1200_searchweb.png (320x180) [108.2 KB] || plot_aerosols-northamerica_F517R06K-GEOS_06KM-REPLAY-20170915_1200_thm.png (80x40) [8.2 KB] || plot_aerosols-northamerica_720p.webm (1280x720) [35.3 MB] || plot_aerosols-northamerica_720p.mp4 (1280x720) [191.7 MB] || plot_aerosols-northamerica_1080p.mp4 (1920x1080) [369.7 MB] || ", "hits": 62 }, { "id": 30911, "url": "https://svs.gsfc.nasa.gov/30911/", "result_type": "Hyperwall Visual", "release_date": "2017-11-13T00:00:00-05:00", "title": "2017 North Atlantic Hurricane Season Simulation", "description": "GEOs model run showing 2017 Atlantic hurricane season || plot_ir4-goeseast_proj_F517R06K-GEOS_06KM-REPLAY-20170905_1745_print.jpg (1024x576) [98.0 KB] || plot_ir4-goeseast_proj_F517R06K-GEOS_06KM-REPLAY-20170905_1745.png (5760x3240) [5.5 MB] || plot_ir4-goeseast_proj_F517R06K-GEOS_06KM-REPLAY-20170905_1745_searchweb.png (320x180) [44.2 KB] || plot_ir4-goeseast_proj_F517R06K-GEOS_06KM-REPLAY-20170905_1745_thm.png (80x40) [3.8 KB] || plot_ir4-goeseast_proj_720p.webm (1280x720) [49.6 MB] || plot_ir4-goeseast_proj_720p.mp4 (1280x720) [156.3 MB] || ", "hits": 45 }, { "id": 30912, "url": "https://svs.gsfc.nasa.gov/30912/", "result_type": "Hyperwall Visual", "release_date": "2017-11-13T00:00:00-05:00", "title": "2017 North Atlantic Hurricane Season Simulation Compared With Observations", "description": "A video comparing model output and satellite imagery. || ir_compare2m-globe_F517R06K-F517R06K_20170801_0000_print.jpg (1024x547) [132.7 KB] || ir_compare2m-globe_F517R06K-F517R06K_20170801_0000.png (5760x3081) [5.8 MB] || ir_compare2m-globe_F517R06K-F517R06K_20170801_0000_searchweb.png (320x180) [60.4 KB] || ir_compare2m-globe_F517R06K-F517R06K_20170801_0000_thm.png (80x40) [5.7 KB] || ir_compare2m-globe_720p.webm (1280x720) [16.1 MB] || ir_compare2m-globe_720p.mp4 (1280x720) [198.3 MB] || ", "hits": 10 }, { "id": 30913, "url": "https://svs.gsfc.nasa.gov/30913/", "result_type": "Hyperwall Visual", "release_date": "2017-11-13T00:00:00-05:00", "title": "SC17 North Atlantic Icelandic Low 1.5-km - Simulation", "description": "A video of a low pressure weather system shows which types of clouds the GEOS model can reproduce. || plot_ir4-northatlantic_map_G5ECMWF-GEOS_01KM-GEOS-20170427_1200_print.jpg (1024x576) [183.4 KB] || plot_ir4-northatlantic_map_G5ECMWF-GEOS_01KM-GEOS-20170427_1200.png (5760x3240) [12.6 MB] || plot_ir4-northatlantic_map_G5ECMWF-GEOS_01KM-GEOS-20170427_1200_searchweb.png (320x180) [81.4 KB] || plot_ir4-northatlantic_map_G5ECMWF-GEOS_01KM-GEOS-20170427_1200_thm.png (80x40) [7.0 KB] || plot_ir4-northatlantic_map_720p.mp4 (1280x720) [44.5 MB] || plot_ir4-northatlantic_map_720p.webm (1280x720) [1.8 MB] || ", "hits": 31 }, { "id": 4582, "url": "https://svs.gsfc.nasa.gov/4582/", "result_type": "Visualization", "release_date": "2017-07-27T18:00:00-04:00", "title": "Aerosol Optical Thickness Updating Forecast", "description": "The atmosphere is made up of gases like oxygen, nitrogen, and water vapor, but it also contains tiny particles called aerosols. Aerosols come from both natural and human sources and include things like sea salt, dust, soot, and sulfates. Aerosols often contribute to air pollution and poor visibility. Once they are in the atmosphere, they can travel long distances, affecting air quality far from their source. Aerosols also absorb or reflect energy (light), influencing temperatures in the atmosphere and on the ground. Satellites measure aerosols by how much light can pass through them. A thick layer of aerosols will block the ground from view, while a thin layer allows enough light through to see the ground. The measurement is called aerosol optical thickness.The GEOS model is built on satellite data and provides a forecast of aerosol optical thickness (among other things). This animation shows a daily updated 10-day forecast of aerosol optical thickness from GEOS. The date and timestamp are in the lower left corner. In general, brighter colors are thick aerosols, while dull darker colors are thin aerosols. Blue represents sea salt (sea salt extinction aerosol optical thickness, 550 nm). Winds blowing across the ocean kicks up ocean spray, which includes sea salt. In the animation, pale blue to white colors reflect stormy conditions. Individual large storms like tropical cyclones (hurricanes, typhoons) are visible as swirling circles of thick sea salt. Red represents dust (dust extinction aerosol optical thickness, 550 nm). The Saharan Desert of northern Africa is the largest source of dust, but dust can be seen across the globe. Saharan dust often interacts with tropical cyclones.Green represents the sum of aerosol optical thickness for organic carbon, black carbon, and sulfate. Organic and black carbon come from burning biomass or fossil fuels. Sources include fires, power plants, vehicles, and other combustion engines that run on fossil fuel. Sulfate particles come mostly from burning fossil fuels, but also from volcanoes. || gmao_aerosols_print.jpg (1024x576) [201.6 KB] || gmao_aerosols_searchweb.png (320x180) [108.3 KB] || gmao_aerosols.00001_thm.png (80x40) [7.0 KB] || gmao_aerosols.mp4 (1920x962) [16.2 MB] || gmao_aerosols.webm (1920x962) [1.5 MB] || latest-wdates (2239x1123) [0 Item(s)] || latest-nodates (2239x1123) [0 Item(s)] || gmao_aerosols.mp4.hwshow [191 bytes] || ", "hits": 99 }, { "id": 12628, "url": "https://svs.gsfc.nasa.gov/12628/", "result_type": "Produced Video", "release_date": "2017-07-25T01:00:00-04:00", "title": "Building a Hurricane Season in the Atlantic Ocean", "description": "Music: Eternal Sunset by Alexandre Prodhomme [SACEM]Complete transcript available. || LARGE_MP4-Hurricane_NoTitle_large.00001_print.jpg (1024x576) [120.4 KB] || LARGE_MP4-Hurricane_NoTitle_large.00001_searchweb.png (320x180) [89.3 KB] || LARGE_MP4-Hurricane_NoTitle_large.00001_thm.png (80x40) [6.6 KB] || WEBM-Hurricane_NoTitle.webm (960x540) [91.1 MB] || APPLE_TV-Hurricane_NoTitle_appletv.m4v (1280x720) [112.8 MB] || APPLE_TV-Hurricane_NoTitle_appletv_subtitles.m4v (1280x720) [112.9 MB] || LARGE_MP4-Hurricane_NoTitle_large.mp4 (1920x1080) [229.0 MB] || YOUTUBE_HQ-Hurricane_NoTitle_youtube_hq.mov (1920x1080) [467.0 MB] || 12628_hurricanes_standalone.en_US.srt [4.2 KB] || 12628_hurricanes_standalone.en_US.vtt [4.2 KB] || NASA_PODCAST-Hurricane_NoTitle_ipod_sm.mp4 (320x240) [39.0 MB] || ", "hits": 62 }, { "id": 4544, "url": "https://svs.gsfc.nasa.gov/4544/", "result_type": "Visualization", "release_date": "2017-05-26T10:30:00-04:00", "title": "2015-2016 El Niño: Daily Sea Surface Temperature Anomaly and Ocean Currents", "description": "This visualization shows 2015-2016 El Nino through changes in sea surface temperature and ocean currents. Blue regions represent colder temperatures and red regions represent warmer temperatures when compared with normal conditions. Yellow arrows illustrate eastward currents and white arrows are westward currents. || GMAO_elNino_oceanTemperatureAnomaly_currents__1300_print.jpg (1024x576) [175.5 KB] || GMAO_elNino_oceanTemperatureAnomaly_currents__1300_searchweb.png (320x180) [97.1 KB] || GMAO_elNino_oceanTemperatureAnomaly_currents__1300_thm.png (80x40) [6.7 KB] || GMAO_elNino_oceanTemperatureAnomaly_currents_1080p.webm (1920x1080) [163.5 KB] || with_colorbar (3840x2160) [256.0 KB] || GMAO_elNino_oceanTemperatureAnomaly_currents_1080p.mp4 (1920x1080) [159.4 MB] || GMAO_oceanTemperatureAnomaly_withColorbar.mp4 (3840x2160) [166.0 MB] || ", "hits": 88 }, { "id": 12601, "url": "https://svs.gsfc.nasa.gov/12601/", "result_type": "Produced Video", "release_date": "2017-05-26T10:30:00-04:00", "title": "A 3D Look at the 2015 El Niño", "description": "Scientists at NASA's Goddard Space Flight Center have combined ocean measurements with cutting-edge supercomputer simulations to analyze the 2015-2016 El Niño in three dimensions. This visualization looks at the top 225 meters of the ocean, showing warmer than normal water in red, colder than normal water in blue. In the second half, current information is included, with east-flowing currents in yellow and west-flowing currents in white.Music: Bourrée from Handel's Water MusicWatch this video on the NASA Goddard YouTube channel. || 12601-El-Nino-3D-print.jpg (3840x2160) [2.7 MB] || 12601-El-Nino-3D-print_searchweb.png (320x180) [93.3 KB] || 12601-El-Nino-3D-print_thm.png (80x40) [7.1 KB] || 12601-El-Nino-3D-UHD.mp4 (3840x2160) [381.6 MB] || 12601-El-Nino-3D-captions.en_US.srt [1.7 KB] || 12601-El-Nino-3D-captions.en_US.vtt [1.7 KB] || 12601-El-Nino-3D-UHD.webm (3840x2160) [24.9 MB] || ", "hits": 89 }, { "id": 4565, "url": "https://svs.gsfc.nasa.gov/4565/", "result_type": "Visualization", "release_date": "2017-05-04T19:00:00-04:00", "title": "Seasonal Changes in Carbon Dioxide", "description": "Narrated visualization showing seasonal drawdown in carbon dioxideThis video is also available on our YouTube channel. || co2_science_comp.0740_print.jpg (1024x576) [118.8 KB] || co2_science_comp.0740_searchweb.png (180x320) [75.9 KB] || co2_science_comp.0740_thm.png (80x40) [6.1 KB] || CO2_Science_001_DDMMYY.m4v (1280x720) [66.6 MB] || CO2_Science_001_DDMMYY.webmhd.webm (1080x606) [17.7 MB] || CO2_Science_001_MM.m4v (1280x720) [66.5 MB] || comp (1920x1080) [0 Item(s)] || CO2_Science_001_DDMMYY.mp4 (1920x1080) [147.8 MB] || CO2_Science_001_MM.mp4 (1920x1080) [147.9 MB] || CO2_Science.en_US.srt [1.7 KB] || CO2_Science.en_US.vtt [1.7 KB] || CO2_Science_001_DDMMYY.mov (1920x1080) [1.1 GB] || CO2_Science_001_MM.mov (1920x1080) [1.1 GB] || ", "hits": 313 }, { "id": 40318, "url": "https://svs.gsfc.nasa.gov/gallery/vcearth-interactive/", "result_type": "Gallery", "release_date": "2017-02-13T00:00:00-05:00", "title": "VC Earth Interactive", "description": "Items for the digital interactive in the VC Earth science exhibit", "hits": 28 }, { "id": 40317, "url": "https://svs.gsfc.nasa.gov/gallery/vcearth-video-wall/", "result_type": "Gallery", "release_date": "2017-02-02T00:00:00-05:00", "title": "VC Earth Video Wall", "description": "list of videos to display on video wall in Earth science exhibit at Goddard Visitor Center", "hits": 14 }, { "id": 4514, "url": "https://svs.gsfc.nasa.gov/4514/", "result_type": "Visualization", "release_date": "2016-12-13T14:00:00-05:00", "title": "Carbon Dioxide from GMAO using Assimilated OCO-2 Data", "description": "Carbon Dioxide from the GEOS-5 modelThis video is also available on our YouTube channel. || co2_30.with_labels.2000_print.jpg (1024x576) [90.1 KB] || co2_30.with_labels.2000_searchweb.png (180x320) [64.0 KB] || co2_30.with_labels.2000_thm.png (80x40) [5.9 KB] || co2_30.with_labels_1080p30.mp4 (1920x1080) [75.6 MB] || co2_30.with_labels_1080p30.webm (1920x1080) [11.3 MB] || co2_30.with_labels_360p30.mp4 (640x360) [12.2 MB] || final_no_dates (3840x2160) [0 Item(s)] || final_with_labels (3840x2160) [0 Item(s)] || co2_30.with_labels.key [77.8 MB] || co2_30.with_labels.pptx [77.4 MB] || co2_30.with_labels_2160p30.mp4 (3840x2160) [306.7 MB] || co2_30.with_labels_1080p30.mp4.hwshow [192 bytes] || ", "hits": 128 }, { "id": 12370, "url": "https://svs.gsfc.nasa.gov/12370/", "result_type": "Produced Video", "release_date": "2016-09-13T11:00:00-04:00", "title": "Return To Normal in 2016, After Strong El Niño in 2015", "description": "Scientists at the Global Modeling and Assimilation Office of NASA's Goddard Space Flight Center regulary produce a forecast of sea surface temperatures in the equatorial Pacific ocean. The temperatures in this area are used to determine the conditions known as El Niño and La Niña. For several months, the NASA forecast has indicated the temperatures will be neutral over the next nine months. This indicates there will be no La Niña in 2016-2017, after the previous year's very strong El Niño.Music: Find The Answer, by Klangraum. Composers: Bernhard Hering [GEMA], Matthias Kruger [GEMA]Complete transcript available. || 12370_La_Nada_2016_MASTER_large.00090_print.jpg (1024x576) [106.7 KB] || 12370_La_Nada_2016_MASTER_large.00090_searchweb.png (320x180) [66.2 KB] || 12370_La_Nada_2016_MASTER_large.00090_thm.png (80x40) [5.0 KB] || 12370_La_Nada_2016_MASTER_V2_prores.mov (1280x720) [970.6 MB] || 12370_La_Nada_2016_MASTER_V2_youtube_hq.mov (1280x720) [196.0 MB] || 12370_La_Nada_2016_MASTER_V2_large.mp4 (1280x720) [70.8 MB] || 12370_La_Nada_2016_MASTER_V2_appletv.m4v (1280x720) [33.1 MB] || 12370_La_Nada_2016_MASTER_V2_appletv_subtitles.m4v (1280x720) [33.1 MB] || 12370_La_Nada_2016-captions.en_US.srt [970 bytes] || 12370_La_Nada_2016-captions.en_US.vtt [983 bytes] || 12370_La_Nada_2016_MASTER_V2_ipod_sm.mp4 (320x240) [11.2 MB] || 12370_La_Nada_2016_MASTER_V2_prores.webm [0 bytes] || ", "hits": 50 }, { "id": 40302, "url": "https://svs.gsfc.nasa.gov/gallery/svsyoutube-candidates/", "result_type": "Gallery", "release_date": "2016-06-03T00:00:00-04:00", "title": "SVS YouTube Candidates", "description": "These are the proposed visualization candidates to be included in the SVS YouTube Channel.", "hits": 137 }, { "id": 12206, "url": "https://svs.gsfc.nasa.gov/12206/", "result_type": "Produced Video", "release_date": "2016-05-25T00:00:00-04:00", "title": "Hurricane Forecasts Rely on Modeling the Past", "description": "Complete transcript available.Music: Chris White, Afterglow || 12206_Hurricanes_youtube.00229_print.jpg (1024x576) [119.1 KB] || 12206_Hurricanes_youtube.00229_searchweb.png (180x320) [87.4 KB] || 12206_Hurricanes_youtube.00229_thm.png (80x40) [6.6 KB] || 12206_Hurricane_modeling_MASTER.webm (960x540) [72.0 MB] || Hurricane_modeling.webm (1080x606) [34.9 MB] || 12206_Hurricanes_youtube.mp4 (1920x1080) [190.4 MB] || 12206_Hurricane_modeling_MASTER.mpeg (1280x720) [610.1 MB] || 12206_Hurricanes.en_US.srt [3.8 KB] || 12206_Hurricanes.en_US.vtt [3.8 KB] || 12206_Hurricane_modeling_MASTER_ipod_sm.mp4 (320x240) [32.3 MB] || Hurricane_modeling_prores.mov (1920x1080) [2.5 GB] || ", "hits": 42 }, { "id": 4433, "url": "https://svs.gsfc.nasa.gov/4433/", "result_type": "Visualization", "release_date": "2016-02-25T20:00:00-05:00", "title": "El Niño: GMAO Daily Sea Surface Temperature Anomaly from 1997/1998 and 2015/2016", "description": "This visualization shows how the Sea Surface Temperature Anomaly (SSTA) data and subsurface Temperature Anomaly from the 1997 El Nino year compares to the 2015 El Nino year. The visualization shows how the 1997 event started from colder-than-average sea surface temperatures – but the 2015 event started with warmer-than-average temperatures not only in the Pacific but also in in the Atlantic and Indian Oceans.This video is also available on our YouTube channel. || SSTcompare1997_2015_0000_print.jpg (1024x576) [87.4 KB] || SSTcompare1997_2015_0000_searchweb.png (320x180) [53.0 KB] || SSTcompare1997_2015_0000_thm.png (80x40) [5.6 KB] || Compare1997_2015_SSTA.mp4 (1920x1080) [28.7 MB] || compare (1920x1080) [0 Item(s)] || Compare1997_2015_SSTA.webm (1920x1080) [1.5 MB] || Compare1997_2015_SSTA.m4v (640x360) [2.5 MB] || Compare1997_2015_SSTA.mp4.hwshow [187 bytes] || ", "hits": 201 }, { "id": 40268, "url": "https://svs.gsfc.nasa.gov/gallery/hyperwall-geos/", "result_type": "Gallery", "release_date": "2015-10-23T00:00:00-04:00", "title": "Hyperwall GEOS", "description": "all Hyperwall shows based on GEOS", "hits": 3 }, { "id": 11977, "url": "https://svs.gsfc.nasa.gov/11977/", "result_type": "Produced Video", "release_date": "2015-08-21T17:00:00-04:00", "title": "NASA On Air: NASA's Hurricane Modeling Advancements Since Katrina, 10 Years Ago (8/21/2015)", "description": "LEAD: Science and computer advances over the past ten years since Katrina are giving meteorologists clearer pictures of hurricanes. 1. A NASA weather and climate model now (2015) has a resolution of 4 miles, and updates the dynamic state of the atmosphere every 5 seconds and physical processes every 5 minutes. 2. Katrina's wind speed is shown on the left, water vapor on the right. 3. Abundant water vapor was one factor that helped to intensify Katrina to a Category 5 storm, with sustained wind speeds of 175 mph. 4. But, 18 hours later Katrina made landfall over Louisiana as a Category 3 storm, with winds of 125 mph. TAG: Detailed computer models will help meteorologists understand these quick wind changes and make better forecasts about hurricane strength at landfall. || NASAONAIR-Katrina_Anniversary_iPad-10_print.jpg (1024x576) [161.8 KB] || NASAONAIR-Katrina_Anniversary_iPad-10_searchweb.png (320x180) [114.9 KB] || NASAONAIR-Katrina_Anniversary_iPad-10_thm.png (80x40) [7.8 KB] || NASAONAIR-Katrina_Anniversary-1_Weather_Channel_30_fps.mov (1920x1080) [875.8 MB] || NASAONAIR-Katrina_Anniversary-2_Weather_Channel_60_fps.mov (1280x720) [966.7 MB] || NASAONAIR-Katrina_Anniversary-3_NBC_Today.mov (1920x1080) [504.5 MB] || NASAONAIR-Katrina_Anniversary_WeatherChannel-4.wmv (1280x720) [6.0 MB] || NASAONAIR-Katrina_Anniversary_Accuweather-5.avi (1280x720) [4.9 MB] || NASAONAIR-Katrina_Anniversary-6_Baron_Services_MP4.mp4 (1920x1080) [23.8 MB] || NASAONAIR-Katrina_Anniversary-7_APR_422_1920_30.mov (1920x1080) [311.7 MB] || NASAONAIR-Katrina_Anniversary_iPad-8.m4v (960x540) [9.3 MB] || NASAONAIR-Katrina_Anniversary_iPad-9.m4v (1280x720) [7.2 MB] || NASAONAIR-Katrina_Anniversary_iPad-10.m4v (1920x1080) [13.5 MB] || NASAONAIR-Katrina_Anniversary_iPad-10.webm (1920x1080) [2.3 MB] || ", "hits": 23 }, { "id": 30600, "url": "https://svs.gsfc.nasa.gov/30600/", "result_type": "Hyperwall Visual", "release_date": "2015-05-18T00:00:00-04:00", "title": "OCO-2 Early Glint Retrievals Over Water", "description": "XCO2 estimates from OCO-2 glint retrievals compared to model - transition animation || OCO2_glint_Q_print.jpg (1024x574) [165.5 KB] || OCO2_glint_Q.png (4104x2304) [1.8 MB] || OCO2_glint_Q_searchweb.png (320x180) [74.9 KB] || OCO2_glint_Q_thm.png (80x40) [5.9 KB] || JpGU_OCO2_glint_720p.webm (1280x720) [318.6 KB] || JpGU_OCO2_glint_1080p.mp4 (1920x1080) [400.9 KB] || JpGU_OCO2_glint_720p.mp4 (1280x720) [237.7 KB] || 4104x2304_16x9_30p (4104x2304) [4.0 KB] || JpGU_OCO2_glint_360p.mp4 (640x360) [82.6 KB] || JpGU_OCO2_glint_4k.mp4 (4104x2304) [905.5 KB] || JpGU_OCO2_glint_30600.key [4.7 MB] || JpGU_OCO2_glint_30600.pptx [2.1 MB] || ", "hits": 117 }, { "id": 30590, "url": "https://svs.gsfc.nasa.gov/30590/", "result_type": "Hyperwall Visual", "release_date": "2015-05-07T10:00:00-04:00", "title": "From Observations to Models", "description": "NASA’s Global Modeling and Assimilation Office (GMAO) uses the Goddard Earth Observing System Model, Version 5 Data Assimilation System (GEOS­-5 DAS) to produce global numerical weather forecasts on a routine basis. GMAO forecasts play important roles in managing NASA’s fleet of science satellites and in researching the impact of new satellite observations. In order to provide timely information about the state of the atmosphere for NASA instrument teams and researchers, the GMAO runs the GEOS-­5 DAS four times each day in real time. For each forecast, it is necessary to provide accurate initial conditions that drive the GEOS-­5 forecasts. To do this, the best estimate of the full, three-dimensional atmospheric state is determined by combining the latest observations and a short-term, 6-­hour forecast—a process known as data assimilation. The GEOS-­5 DAS assimilates more than 5 million observations during each 6-hour assimilation period.These observations are assembled from a number of sources from around the globe, including NASA, NOAA, EUMETSAT (European Organization for the Exploitation of Meteorological Satellites), commercial airlines, the US Department of Defense, and many others. Similarly, each observation type has its own sampling characteristics. It can be seen in the animation how different observation types have different strategies. One of the main challenges of data assimilation is to understand how all these observations are alike, how they differ, and how they interact with each other.Funding for the development of the GEOS-5 model and data assimilation system development comes from NASA's Modeling, Analysis, and Prediction Program and the NASA Weather Focus Area's contribution to the Joint Center for Satellite Data Assimilation.The GEOS-5 DAS runs at the NASA Center for Climate Simulation, which is funded by NASA’s High-End Computing Program.For More Information:http://gmao.gsfc.nasa.gov/http://www.nccs.nasa.gov/images/data_assim_story_072815.pdf || ", "hits": 70 }, { "id": 30583, "url": "https://svs.gsfc.nasa.gov/30583/", "result_type": "Hyperwall Visual", "release_date": "2015-02-13T00:00:00-05:00", "title": "AXIOM-1 Sea Surface Salinity, Sea Ice Thickness and Atmospheric Precipitable Water", "description": "This animation shows sea surface sailinity, sea ice thickness, and atmospheric precipitable water. || 0001_print.jpg (1024x576) [234.1 KB] || 0001_searchweb.png (180x320) [120.0 KB] || 0001_web.png (320x180) [120.0 KB] || 0001_thm.png (80x40) [8.0 KB] || sss-1920x1080.webm (1920x1080) [16.1 MB] || axiom_salinity_h265_720p.mp4 (1280x720) [109.1 MB] || axiom_salinity_720p.mp4 (1280x720) [166.0 MB] || sss-1920x1080.mp4 (1920x1080) [976.2 MB] || sss (5760x3240) [128.0 KB] || axiom_salinity_h265_2304p.mp4 (4096x2304) [1.0 GB] || ocean+salinity_ice_thickness_precip_water_30583.key [983.1 MB] || ocean+salinity_ice_thickness_precip_water_30583.pptx [979.9 MB] || axiom_salinity_2304p.mp4 (4096x2304) [1.5 GB] || ", "hits": 41 }, { "id": 30584, "url": "https://svs.gsfc.nasa.gov/30584/", "result_type": "Hyperwall Visual", "release_date": "2015-02-13T00:00:00-05:00", "title": "AXIOM-1 Ocean chlorophyll, Sea Ice Thickness and Atmospheric Precipitable Water", "description": "This animation shows ocean surface chlorophyll concentration, sea ice thickness, and atmospheric precipitable water. || 0001_print.jpg (1024x576) [236.0 KB] || 0001_searchweb.png (320x180) [121.0 KB] || 0001_web.png (320x180) [121.0 KB] || 0001_thm.png (80x40) [8.0 KB] || chl-1920x1080.webm (1920x1080) [15.9 MB] || axiom_chl_720p.mp4 (1280x720) [161.2 MB] || axiom_chl_h265_720p.mp4 (1280x720) [105.5 MB] || chl-1920x1080.mp4 (1920x1080) [889.5 MB] || chl (5760x3240) [128.0 KB] || axiom_chl_h265_2304p.mp4 (4096x2304) [913.8 MB] || chlorophyll_ice_thickness_precip_water_30584.key [896.4 MB] || chlorophyll_ice_thickness_precip_water_30584.pptx [893.1 MB] || axiom_chl_2304p.mp4 (4096x2304) [1.4 GB] || ", "hits": 25 }, { "id": 40415, "url": "https://svs.gsfc.nasa.gov/gallery/whats-newwith-earth-today/", "result_type": "Gallery", "release_date": "2015-01-04T00:00:00-05:00", "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.", "hits": 123 }, { "id": 30524, "url": "https://svs.gsfc.nasa.gov/30524/", "result_type": "Hyperwall Visual", "release_date": "2014-11-03T00:00:00-05:00", "title": "AXIOM-1 Sea Surface Temperature", "description": "This animation shows sea surface temperature, ice thickness, and atmospheric precipitable water. || 0001_print.jpg (1024x576) [212.3 KB] || 0001_searchweb.png (320x180) [102.5 KB] || 0001_web.png (320x180) [102.5 KB] || 0001_thm.png (80x40) [7.0 KB] || sst-1920x1080.webm (1920x1080) [41.7 MB] || sst (1920x1080) [128.0 KB] || sst (5760x3240) [128.0 KB] || sst-1920x1080.mp4 (1920x1080) [1.3 GB] || sst_ice_thickness_precip_water_30524.key [1.3 GB] || sst_ice_thickness_precip_water_30524.pptx [1.3 GB] || sst-5760x3240.mp4 (5760x3240) [9.0 GB] || ", "hits": 15 }, { "id": 11269, "url": "https://svs.gsfc.nasa.gov/11269/", "result_type": "Produced Video", "release_date": "2013-06-06T00:00:00-04:00", "title": "Tracking A Superstorm", "description": "Hurricane Sandy pummeled the East Coast late in 2012’s Atlantic hurricane season, causing 159 deaths and $70 billion in damages. Days before landfall, forecasts of its trajectory were still being made. Some computer models showed that a trough in the jet stream would kick the monster storm away from land and out to sea. Among the earliest to predict its true course was NASA’s GEOS-5 global atmosphere model. The model works by dividing Earth’s atmosphere into a virtual grid of stacked boxes. A supercomputer then solves mathematical equations inside each box to create a weather forecast predicting Sandy’s structure, path and other traits. The NASA model not only produced an accurate track of Sandy, but also captured fine-scale details of the storm’s changing intensity and winds. Watch the video to see it for yourself. || ", "hits": 25 }, { "id": 30007, "url": "https://svs.gsfc.nasa.gov/30007/", "result_type": "Hyperwall Visual", "release_date": "2013-03-14T00:00:00-04:00", "title": "MODIS Cloud Optical Thickness", "description": "NASA’s Global Modeling and Assimilation Office (GMAO) works to maximize the impact of NASA’s satellite observations in weather and climate analysis and prediction through integrated Earth system modeling and data assimilation.This visualization compares cloud optical thickness from a GMAO simulation using the Goddard Earth Observing System Model, Version 5 (GEOS-5) [top] to observations from the Moderate Resolution Imaging Spectroradiometer (MODIS) onboard Aqua and Terra [bottom], August 17-26, 2009. A cloud's optical thickness is a measure of attenuation of the light passing through the atmosphere due to the scattering and absorption by cloud droplets. Clouds do not absorb visible wavelengths of sunlight; rather, clouds scatter and reflect most visible light. Here, light blue shades indicate areas where there are low cloud-optical-thickness values, while red and orange shades indicate high values (i.e., greater attenuation caused by the scattering and absorption from cloud droplets). The higher a cloud's optical thickness, the more sunlight the cloud is scattering and reflecting. || ", "hits": 105 }, { "id": 30019, "url": "https://svs.gsfc.nasa.gov/30019/", "result_type": "Hyperwall Visual", "release_date": "2013-03-08T00:00:00-05:00", "title": "Hurricane Sandy", "description": "Surface and near-surface (850 hPa) wind speeds from the NASA Goddard Earth Observing System Model (GEOS-5) operational assimilation system (consisting of a 50-kilometer analysis coupled with a 25-kilometer model) beginning September 1, 2012 preceding a 7-kilometer global simulation with the GEOS-5 atmospheric model initialized at 09Z on October 26, 2012 reveal the massive size of Hurricane Sandy versus the other storms for this period, including the persistent Hurricane Nadine, as well as hurricanes Michael and Rafael. The 7-kilometer simulation depicts the strong onshore winds in New York and New Jersey even after landfall and the dramatic influence of the land surface slowing down Sandy's inland surface winds. || ", "hits": 77 }, { "id": 30017, "url": "https://svs.gsfc.nasa.gov/30017/", "result_type": "Hyperwall Visual", "release_date": "2013-03-07T00:00:00-05:00", "title": "GEOS-5 Nature Run Collection", "description": "Through numerical experiments that simulate the dynamical and physical processes governing weather and climate variability of Earth's atmosphere, models create a dynamic portrait of our planet. This 10-kilometer global mesoscale simulation (Nature Run) using the NASA Goddard Earth Observing System Model (GEOS-5) explores the evolution of surface temperatures as the sun heats the Earth and fuels cloud formation in the tropics and along baroclinic zones; the presence of water vapor and precipitation within these global weather patterns; the dispersion of global aerosols from dust, biomass burning, fossil fuel emissions, and volcanoes; and the winds that transport these aerosols from the surface to upper-levels.The full GEOS-5 simulation covered 2 years—from May 2005 to May 2007. It ran on 3,750 processors of the Discover supercomputer at the NASA Center for Climate Simulation, consuming 3 million processor hours and producing over 400 terabytes of data. GEOS-5 development is funded by NASA's Modeling, Analysis, and Prediction Program. || ", "hits": 152 }, { "id": 10977, "url": "https://svs.gsfc.nasa.gov/10977/", "result_type": "Produced Video", "release_date": "2012-05-24T00:00:00-04:00", "title": "Paint By Particle", "description": "Satellites, balloon-borne instruments and ground-based devices make 30 million observations of the atmosphere each day. Yet these measurements still give an incomplete picture of the complex interactions within the membrane surrounding Earth. Enter climate models. Through mathematical experiments, modelers can move Earth forward or backward in time to create a dynamic portrait of the planet. Researchers from NASA Goddard's Global Modeling and Assimilation Office recently ran a simulation of the atmosphere that captured how winds whip aerosols around the world. Such simulations allow scientists to better understand how these tiny particulates travel in the atmosphere and influence weather and climate. In the visualization below, covering August 2006 to April 2007, watch as dust and sea salt swirl inside cyclones, carbon bursts from fires, sulfate streams from volcanoes—and see how these aerosols paint the modeled world. || ", "hits": 39 }, { "id": 3837, "url": "https://svs.gsfc.nasa.gov/3837/", "result_type": "Visualization", "release_date": "2011-06-13T00:00:00-04:00", "title": "Components of the Water Cycle on a Flat Map for Science On a Sphere", "description": "Water regulates climate, predominately storing heat during the day and releasing it at night. Water in the ocean and atmosphere carry heat from the tropics to the poles. The process by which water moves around the earth, from the ocean, to the atmosphere, to the land and back to the ocean is called the water cycle. The animations below each portray a component of the water cycle. These animations of the components of the water cycle were created for the Science On a Sphere production \"Loop\" using data from the GEOS-5 atmospheric model on the cubed-sphere, run at 14-km global resolution for 25-days. Variables animated here include hourly clouds, precipitation, evaporation and water vapor. For more information on GEOS-5 see https://gmao.gsfc.nasa.gov/systems/geos5. Some of these visualizations are an orthographic view of the data used in Components of the Water Cycle. || ", "hits": 146 }, { "id": 3829, "url": "https://svs.gsfc.nasa.gov/3829/", "result_type": "Visualization", "release_date": "2011-05-10T00:00:00-04:00", "title": "Aquarius studies Ocean and Wind Flows", "description": "Aquarius is a focused satellite mission to measure global Sea Surface Salinity. During its nominal three-year mission, Aquarius will map the salinity at the ocean surface to improve our understanding of Earth's water cycle and ocean circulation. Aquarius will help scientists see how freshwater moves between the ocean and the atmosphere. It will monitor changes in the water cycle due to rainfall, evaporation, ice melting, and river runoff. Aquarius will also demonstrate a measurement capability that can be applied to future operational missions. Ocean circulation is driven in large part by changes in water density, which is determined by temperature and salinity. Cold, high-salinity water masses sink and trigger the ocean's \"themalhaline circulation\" - the surface and deep currents that distribute solar energy to regulate Earth's climate. By measuring salinity, Aquarius will provide new insight into this global process. Aquarius' measurements of ocean salinity will provide a new perspective on the ocean and its links to climate, greatly expanding upon limited past measurements. Aquarius salinity data - combined with data from other sensors that measure sea level, ocean color, temperature, winds and rainfall will give us a much clearer picture of how the ocean works, how it is linked to climate, and how it may respond to climate change.Aquarius will provide information that will help improve predictions of future climate trends and short-term climate events such as El Niño and La Niña. Precise salinity measurements from Aquarius will reveal changes in patterns of global precipitation and evaporation and show how these changes may affect ocean circulation. || ", "hits": 72 }, { "id": 3811, "url": "https://svs.gsfc.nasa.gov/3811/", "result_type": "Visualization", "release_date": "2011-01-11T00:00:00-05:00", "title": "Components of the Water Cycle on a Flat Map", "description": "Water regulates climate, predominately storing heat during the day and releasing it at night. Water in the ocean and atmosphere carry heat from the tropics to the poles. The process by which water moves around the earth, from the ocean, to the atmosphere, to the land and back to the ocean is called the water cycle. The animations below each portray a component of the water cycle. The three animations of atmospheric phenomena were created using data from the GEOS-5 atmospheric model on the cubed-sphere, run at 14-km global resolution for 25-days. Variables animated here include hourly evaporation, water vapor and precipitation. For more information on GEOS-5 see http://gmao.gsfc.nasa.gov/systems/geos5 . For more information on the cubed-sphere work see http://science.gsfc.nasa.gov/610.3/cubedsphere.html.The animation of global sea surface temperature was created using data from a model run of ECCO's Ocean General Circulation Model. See http://www.ecco-group.org/model.htm for more information on ECCO.This group of animations are an orthographic view of the data used in Components of the Water Cycle. || ", "hits": 114 }, { "id": 3719, "url": "https://svs.gsfc.nasa.gov/3719/", "result_type": "Visualization", "release_date": "2010-06-24T00:00:00-04:00", "title": "MERRA Specific Humidity", "description": "Retrospective-analyses (or reanalyses) have been a critical tool in studying weather and climate variability for the last 15 years. Reanalyses blend the continuity and breadth of output data of a numerical model with the constraint of vast quantities of observational data. The result is a long-term continuous data record. The Modern Era Retrospective-analysis for Research and Applications was developed to support NASA's Earth science objectives, by applying the state-of-the-art GMAO data assimilation system that includes many modern observing systems (such as EOS) in a climate framework.The MERRA time period covers the modern era of remotely sensed data, from 1979 through the present, and the special focus of the atmospheric assimilation is the hydrological cycle.The time period covered by the visualization is the months of May, June, and July of 1988 and 1993, two years with contrasting extreme weather events during the summer: a drought through the midwestern states of the US in 1988, and heavy rains and flooding through the same region in 1993.This visualization shows the specific humidity dataset produced by MERRA, up to a geopotential height of 20 km. The height coordinate is greatly exaggerated. Both opacity and color are driven by the data value.This animation was created as part of a presentation for the Nasa Center for Climate Simulation (NCCS) hyperwall display. This is a set of tiled high definition displays consisting of 5 displays across by 3 displays down. The full resolution of all combined displays is 6840 pixels accross by 2304 pixels down. For the full presentation, see the link below. || ", "hits": 26 } ] }