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        {
            "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": 134
        },
        {
            "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": 194
        },
        {
            "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": 597
        },
        {
            "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": 244
        },
        {
            "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": 0
        },
        {
            "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": 48
        },
        {
            "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": 156
        },
        {
            "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": 181
        },
        {
            "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": 35
        },
        {
            "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": 172
        },
        {
            "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": 1286
        },
        {
            "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": 228
        },
        {
            "id": 13807,
            "url": "https://svs.gsfc.nasa.gov/13807/",
            "result_type": "Produced Video",
            "release_date": "2021-02-17T11:00:00-05:00",
            "title": "NASA Helps Identify Uptick in Emissions of Ozone-Depleting Compounds",
            "description": "Music: \"Hidden Movement\" Universal Production Music Complete transcript available. || Screen_Shot_2021-02-10_at_9.41.20_AM_print.jpg (1024x569) [115.7 KB] || Screen_Shot_2021-02-10_at_9.41.20_AM.png (2267x1261) [3.1 MB] || Screen_Shot_2021-02-10_at_9.41.20_AM_searchweb.png (320x180) [87.6 KB] || Screen_Shot_2021-02-10_at_9.41.20_AM_thm.png (80x40) [6.9 KB] || CFC_11_RC_5.webm (1920x1080) [6.5 MB] || 13807_CFC11.mp4 (1920x1080) [389.2 MB] || CFC11RC5.en_US.srt [3.4 KB] || ",
            "hits": 160
        },
        {
            "id": 13753,
            "url": "https://svs.gsfc.nasa.gov/13753/",
            "result_type": "Produced Video",
            "release_date": "2020-11-17T11:00:00-05:00",
            "title": "NASA Studies How COVID-19 Shutdowns Affect Emissions",
            "description": "Music: \"Lab Analysis\" from Universal Production MusicComplete transcript available.Coming soon to our YouTube channel. || Screen_Shot_2020-11-13_at_1.08.17_PM_print.jpg (1024x572) [164.1 KB] || Screen_Shot_2020-11-13_at_1.08.17_PM.png (3568x1994) [6.4 MB] || Screen_Shot_2020-11-13_at_1.08.17_PM_searchweb.png (320x180) [85.1 KB] || Screen_Shot_2020-11-13_at_1.08.17_PM_thm.png (80x40) [9.8 KB] || NASA_Studies_How_COVID-19_Shutdowns_Affect_Emissions.mp4 (1920x1080) [442.5 MB] || NASA_Studies_How_COVID-19_Shutdowns_Affect_Emissions.webm (1920x1080) [25.9 MB] || COVIDNO2.en_US.srt [4.4 KB] || COVIDNO2.en_US.vtt [4.4 KB] || ",
            "hits": 85
        },
        {
            "id": 13714,
            "url": "https://svs.gsfc.nasa.gov/13714/",
            "result_type": "Produced Video",
            "release_date": "2020-09-15T13:00:00-04:00",
            "title": "Solar Cycle 25 Is Here. NASA, NOAA Scientists Explain What This Means",
            "description": "Solar Cycle 25 has begun. The Solar Cycle 25 Prediction Panel announced solar minimum occurred in December 2019, marking the transition into a new solar cycle. In a press event, experts from the panel, NASA, and NOAA discussed the analysis and Solar Cycle 25 prediction, and how the rise to the next solar maximum and subsequent upswing in space weather will impact our lives and technology on Earth.A new solar cycle comes roughly every 11 years. Over the course of each cycle, the star transitions from relatively calm to active and stormy, and then quiet again; at its peak, the Sun’s magnetic poles flip. Now that the star has passed solar minimum, scientists expect the Sun will grow increasingly active in the months and years to come.Understanding the Sun’s behavior is an important part of life in our solar system. The Sun’s outbursts—including eruptions known as solar flares and coronal mass ejections—can disturb the satellites and communications signals traveling around Earth, or one day, Artemis astronauts exploring distant worlds. Scientists study the solar cycle so we can better predict solar activity.Click here for the NOAA press kit.Listen to the media telecon.Participants:• Lisa Upton, Co-chair, Solar Cycle 25 Prediction Panel; Solar Physicist, Space Systems Research Corporation• Doug Biesecker, Solar Physicist, NOAA’s Space Weather Prediction Center; Co-chair, Solar Cycle 25 Prediction Panel• Elsayed Talaat, Director, Office of Projects, Planning and Analysis; NOAA’s Satellite and Information Service • Lika Guhathakurta, Heliophysicist, Heliophysics Division, NASA Headquarters • Jake Bleacher, Chief Exploration Scientist, NASA Human Exploration and Operations Mission Directorate || ",
            "hits": 259
        },
        {
            "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": 212
        },
        {
            "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": 46
        },
        {
            "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": 19
        },
        {
            "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": 12
        },
        {
            "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": 16
        },
        {
            "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": 64
        },
        {
            "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": 30591,
            "url": "https://svs.gsfc.nasa.gov/30591/",
            "result_type": "Hyperwall Visual",
            "release_date": "2014-12-10T10:00:00-05:00",
            "title": "Simulated Clouds and Aerosols",
            "description": "GEOS-5 Model Visible || visible_1080_print.jpg (1024x576) [207.1 KB] || visible_1080_searchweb.png (180x320) [102.7 KB] || visible_1080_web.png (320x180) [102.7 KB] || visible_1080_thm.png (80x40) [7.7 KB] || visible (1920x1080) [0 Item(s)] || visible_1080.webm (1920x1080) [28.9 MB] || geos_visible_720p.mp4 (1280x720) [285.3 MB] || visible_1080.mp4 (1920x1080) [423.8 MB] || geos_visible_1080p.mp4 (1920x1080) [572.6 MB] || visible (5760x2881) [0 Item(s)] || geos_visible_2160p.mp4 (3840x2160) [1.8 GB] || ",
            "hits": 68
        },
        {
            "id": 30640,
            "url": "https://svs.gsfc.nasa.gov/30640/",
            "result_type": "Hyperwall Visual",
            "release_date": "2014-12-10T10:00:00-05:00",
            "title": "Simulated Surface Carbon Monoxide",
            "description": "Carbon Monoxide animation of Dec 1 - 31, 2006 || geos_cosc_2304p.00001_print.jpg (1024x576) [112.5 KB] || cosc_globe_c1440_NR_BETA9-SNAP_20061201_0000z.png (5760x2880) [17.4 MB] || cosc_globe_c1440_NR_BETA9-SNAP_20061201_0000z_print.jpg (1024x512) [127.3 KB] || cosc_globe_c1440_NR_BETA9-SNAP_20061201_0000z_searchweb.png (180x320) [74.1 KB] || geos_cosc_2304p.00001_thm.png (80x40) [5.9 KB] || geos_cosc_720p.mp4 (1280x720) [20.1 MB] || geos_cosc_720p.webm (1280x720) [2.9 MB] || geos_cosc_2304p.mp4 (4096x2304) [137.7 MB] || ",
            "hits": 94
        },
        {
            "id": 30641,
            "url": "https://svs.gsfc.nasa.gov/30641/",
            "result_type": "Hyperwall Visual",
            "release_date": "2014-12-10T10:00:00-05:00",
            "title": "Simulated Sulfur Dioxide and Sulfate Aerosols",
            "description": "Sulfur and Sulfates animation of Sept 1 - Dec 31, 2006 || sulfur_globe_c1440_NR_BETA9-SNAP_20060901_0000z.png (5760x2880) [19.9 MB] || sulfur_globe_c1440_NR_BETA9-SNAP_20060901_0000z_print.jpg (1024x512) [117.1 KB] || sulfur_globe_c1440_NR_BETA9-SNAP_20060901_0000z_searchweb.png (180x320) [93.4 KB] || sulfur_globe_c1440_NR_BETA9-SNAP_20060901_0000z_thm.png (80x40) [7.0 KB] || geos_sulfur_720p.mp4 (1280x720) [95.0 MB] || geos_sulfur_720p.webm (1280x720) [11.6 MB] || sulfur_small_c1440_NR_BETA9-SNAP_20060329_1600z_1080.mp4 (1920x1080) [357.4 MB] || geos_sulfur_2304p.mp4 (4096x2304) [667.5 MB] || ",
            "hits": 137
        },
        {
            "id": 30642,
            "url": "https://svs.gsfc.nasa.gov/30642/",
            "result_type": "Hyperwall Visual",
            "release_date": "2014-12-10T10:00:00-05:00",
            "title": "Simulated Wind Speeds at 500 mb",
            "description": "500MB winds animation of Aug 1 - Nov 30, 2006 || w500_globe_c1440_NR_BETA9-SNAP_20060801_0000z.png (5760x2880) [14.4 MB] || w500_globe_c1440_NR_BETA9-SNAP_20060801_0000z_print.jpg (1024x512) [226.7 KB] || w500_globe_c1440_NR_BETA9-SNAP_20060801_0000z_searchweb.png (180x320) [117.4 KB] || geos_w500_720p.webm (1280x720) [16.6 MB] || geos_w500_720p.mp4 (1280x720) [234.9 MB] || geos_w500_2304p.mp4 (4096x2304) [1.4 GB] || ",
            "hits": 56
        },
        {
            "id": 30643,
            "url": "https://svs.gsfc.nasa.gov/30643/",
            "result_type": "Hyperwall Visual",
            "release_date": "2014-12-10T10:00:00-05:00",
            "title": "Simulated Clouds and Precipitation",
            "description": "Precipitation animation of Jan 1 - Mar 31, 2006. No preview movie available yet || geos_precip_20060101_0000_print.jpg (1024x576) [259.1 KB] || geos_precip_20060101_0000.png (4096x2304) [15.3 MB] || geos_precip_20060101_0000_searchweb.png (320x180) [110.7 KB] || geos_precip_20060101_0000_thm.png (80x40) [7.5 KB] || ",
            "hits": 72
        },
        {
            "id": 30644,
            "url": "https://svs.gsfc.nasa.gov/30644/",
            "result_type": "Hyperwall Visual",
            "release_date": "2014-12-10T10:00:00-05:00",
            "title": "Simulated Clouds and Precipitable Water",
            "description": "Clouds and precipitable water animation of Apr 1 - Jul 31, 2006. || geos_cloudspw_20060101_0000_print.jpg (1024x576) [245.1 KB] || geos_cloudspw_20060101_0000.png (4096x2304) [15.1 MB] || geos_cloudspw_20060101_0000_searchweb.png (320x180) [108.1 KB] || geos_cloudspw_20060101_0000_thm.png (80x40) [7.9 KB] || geos_cloudspw_720p.webm (1280x720) [12.5 MB] || geos_cloudspw_720p.mp4 (1280x720) [270.8 MB] || geos_cloudspw_1080p.mp4 (1920x1080) [523.0 MB] || geos_cloudspw_2160p.mp4 (3840x2160) [1.4 GB] || ",
            "hits": 111
        },
        {
            "id": 30637,
            "url": "https://svs.gsfc.nasa.gov/30637/",
            "result_type": "Hyperwall Visual",
            "release_date": "2014-12-10T00:00:00-05:00",
            "title": "GEOS-5 Aerosols Simulation for SC 2014",
            "description": "GEOS-5 aerosols shown at SC 2014. || aerosols-sc2014-preview.jpg (1024x512) [140.7 KB] || aerosols_globe_c1440_NR_BETA9-SNAP_20070228_2200z_searchweb.png (180x320) [97.6 KB] || aerosols_globe_c1440_NR_BETA9-SNAP_20070228_2200z_thm.png (80x40) [7.4 KB] || aerosols (1920x1080) [0 Item(s)] || aerosols-sc14.webm (1920x1080) [10.2 MB] || aerosols-sc14.mp4 (1920x1080) [155.5 MB] || 30637_aerosols_sim_1920x1080.mp4 (1920x1080) [204.3 MB] || aerosols (5760x2881) [0 Item(s)] || 30637_aerosols_sim_4K.mp4 (4096x2048) [206.8 MB] || 30637_aerosols_sim_UHD_large.mp4 (3840x2160) [206.3 MB] || 30637_aerosols_sim_1280x720_prores.mov (1280x720) [1.5 GB] || 30637_aerosols_sim_UHD_youtube_hq.mov (3840x2160) [4.0 GB] || 30637_aerosols_sim_UHD.mov (3840x2160) [11.2 GB] || 30637_aerosols_sim_MASTER.mov (5760x2881) [23.5 GB] || ",
            "hits": 179
        },
        {
            "id": 30515,
            "url": "https://svs.gsfc.nasa.gov/30515/",
            "result_type": "Hyperwall Visual",
            "release_date": "2014-06-30T13:00:00-04:00",
            "title": "Simulated Atmospheric Carbon Concentrations",
            "description": "Carbon exists in many forms—e.g., carbon dioxide (CO2), carbon monoxide (CO)—and continually cycles through Earth’s atmosphere, ocean, and terrestrial ecosystems. This visualization, created using data from the 7-km GEOS-5 Nature Run model, shows average column concentrations of atmospheric CO2 (colored shades) and CO (white shades underneath) from January 1, 2006 to December 31, 2006.CO2 variations are largely controlled by fossil fuel emissions and seasonal fluxes of carbon between the atmosphere and land biosphere. For example, dark red and pink shades represent regions where CO2 concentrations are enhanced by carbon sources, mainly from human activities. During Northern Hemisphere spring and summer months, plants absorb a substantial amount of CO2 through photosynthesis, thus removing CO2 from the atmosphere. Atmospheric CO, a pollutant harmful to human health, is produced mainly from fossil fuel combustion and biomass burning. Here, high concentrations of CO (white) are mainly from fire activity in Africa, South America, and Australia. Scientists use model output data such as these to help answer important questions about Earth’s climate and to help design future satellite missions.These model simulations use fossil fuel emissions estimates provided by the Emissions Database for Global Atmospheric Research (EDGAR). NASA’s Quick Fire Emissions Dataset (QFED) estimates fire emissions using MODIS fire radiative power observations. Additional, observationally constrained estimates of CO2 flux between the atmosphere and land and ocean carbon reservoirs were produced as part of NASA’s Carbon Monitoring System Flux Pilot Project (http://carbon.nasa.gov/cgi-bin/cms/inv_pgp.pl?pgid=581). Land biosphere fluxes come from the Carnegie-Ames-Stanford Approach Global Fire Emissions Database (CASA-GFED) model which incorporates MODIS vegetation classification and AVHRR Normalized Difference Vegetation Index (NDVI) data. Ocean fluxes are produced by the NASA Ocean Biogeochemical Model (NOBM) which incorporates MODIS chlorophyll observations. || ",
            "hits": 115
        },
        {
            "id": 30465,
            "url": "https://svs.gsfc.nasa.gov/30465/",
            "result_type": "Hyperwall Visual",
            "release_date": "2013-10-30T00:00:00-04:00",
            "title": "Analyzing Superstorm Sandy",
            "description": "A rare convergence of environmental conditions during Hurricane Sandy’s lifecycle led to a storm of unforgettable destruction—hence its nickname, Superstorm Sandy. Scientists can analyze the structure and lifecycle of severe storms like Sandy using weather prediction models and incorporate what they learn into newer models, which hopefully result in even more accurate hurricane forecasts in the future. Scientists at NASA used the Goddard Earth Observing System Model, Version 5 (GEOS-5) to simulate surface wind speeds across the Atlantic during Sandy’s lifecycle. The large image above shows surface wind speeds on October 29, 2012, as simulated by the GEOS-5 at 7-kilometer (~4.3-mile) resolution just before the storm made landfall near Atlantic City, New Jersey. Wind speeds range from approximately 10 miles per hour (15 kilometers per hour), shown as dark blue, to 80 miles per hour (130 kilometers per hour), shown as very light purple. In the days following landfall, the remnants of Sandy moved inland over Northern New England and Canada before finally dissipating. The three smaller images show how GEOS-5 simulations of sea level pressure [left], surface wind speeds [center], and accumulated rainfall amounts [right] from October 26, 2012 to October 31, 2012, compare to observations from the National Oceanic and Atmospheric Administration’s National Hurricane Center.Used in 2014 Calendar. || ",
            "hits": 61
        },
        {
            "id": 4094,
            "url": "https://svs.gsfc.nasa.gov/4094/",
            "result_type": "Visualization",
            "release_date": "2013-08-14T13:30:00-04:00",
            "title": "Chelyabinsk Bolide Plume as seen by NPP and NASA Models",
            "description": "Shortly after dawn on Feb. 15, 2013, a bolide measuring 18 meters across and weighing 11,000 metric tons, screamed into Earth's atmosphere at 18.6 kilometers per second. Burning from the friction with Earth's thin air, the space rock exploded 23.3 kilometers above Chelyabinsk, Russia. The event led to the formation of a new dust belt in Earth's stratosphere. Scientists used data from the NASA-NOAA Suomi NPP satellite along with the GEOS-5 computational atmospheric model to achieve the first space-based observation of the long-term evolution of a bolide plume.NPP's Ozone Mapping and Profiler Suite (OMPS) Limb instrument first observed the dust plume from the explosion about 1,100 kilometers east of Chelyabinsk, due to the location of the satellite's orbit. NPP's second observation was farther west, close to Chelyabinsk, because the spacecraft's orbit moves from east to west. The third observation of the plume occurred the day following the event. The OMPS instrument could only see the plume during the daytime, and the NPP orbit had progressed westward away from the plume and into night by the time it was again over the plume.The OMPS Limb instrument observations are made by looking backward (relative to NPP's orbit) toward the Earth's limb. The instrument makes measurements through three separate slits. Early on, some of the plume observations where only made in one or two of the slits, but later observations tended to include all three slits as the plume stretched out. || ",
            "hits": 108
        },
        {
            "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": 71
        },
        {
            "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": 102
        },
        {
            "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": 118
        },
        {
            "id": 30011,
            "url": "https://svs.gsfc.nasa.gov/30011/",
            "result_type": "Hyperwall Visual",
            "release_date": "2013-01-28T00:00:00-05:00",
            "title": "Comparision of GOES and GEOS-5",
            "description": "This animation compares data taken by several geostationary weather satellites, including the Geostationary Operational Environmental Satellites (GOES), and the Goddard Earth Observing System Model, Version 5 (GEOS-5). GEOS-5 is an assimilation model that starts from observations taken by satellites such as GOES and then builds a forecast for some days into the future. The period of time shown here is during February 2010 which brought record snowfall to the east coast of the United States. || ",
            "hits": 17
        },
        {
            "id": 3826,
            "url": "https://svs.gsfc.nasa.gov/3826/",
            "result_type": "Visualization",
            "release_date": "2011-05-25T00:00:00-04:00",
            "title": "NCCS Hyperwall Show: Attribution of February 2010 East Coast Snowstorms",
            "description": "Three major snowstorms hit the east coast of the United States in the winter of 2009-2010. Scientists then posed the following question: What was the role of climate variability during this extreme winter? Utilizing high end computing resources at the NASA/Goddard Space Flight Center, scientists employed the use of the GEOS-5 atmospheric model in an ensemble of simulations to answer this question. Two case studies were produced. One was the winter of 2009-2010 and the other was the same months during the winter of 1999-2000. 50 member ensembles of high resolution simulations were run (each 3-months long beginning on December 1st for each winter).The resulting findings were that GEOS-5 simulations forced with observed Sea Surface Temperatures (SST) reproduce observed changes, including enhanced storminess along the United States east coast. The ensemble members showed that this is a robust response, and verified that anomalous weather events over the U.S. are, to a large extent, driven by El Niño SST. Furthermore, North Atlantic SST contributes to the coolor (snow-producing) temperatures along the U.S. east coast. || ",
            "hits": 16
        },
        {
            "id": 10563,
            "url": "https://svs.gsfc.nasa.gov/10563/",
            "result_type": "Produced Video",
            "release_date": "2010-06-02T00:00:00-04:00",
            "title": "Supercomputing the Climate",
            "description": "Goddard Space Flight Center is the home of a state-of-the-art supercomputing facility called the NASA Center for Climate Simulation (NCCS) that is capable of running highly complex models to help scientists better understand Earth's climate. || ",
            "hits": 92
        },
        {
            "id": 10568,
            "url": "https://svs.gsfc.nasa.gov/10568/",
            "result_type": "Produced Video",
            "release_date": "2010-06-02T00:00:00-04:00",
            "title": "NCCS Video Files",
            "description": "These three clips show highlights of the NASA Center for Climate Simulation (NCCS) at Goddard Space Flight Center. || ",
            "hits": 34
        }
    ]
}