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    "results": [
        {
            "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": 342
        },
        {
            "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": 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": 0
        },
        {
            "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": 523
        },
        {
            "id": 5442,
            "url": "https://svs.gsfc.nasa.gov/5442/",
            "result_type": "Visualization",
            "release_date": "2025-01-29T12:00:00-05:00",
            "title": "Water Cycle Nonstationarity",
            "description": "The global water cycle is undergoing unprecedented shifts from climate change, intensified by human water and land management practices. These changes are evident in phenomena such as depleted groundwater, earlier snowmelt, and erratic fluctuations in floods and drought occurrences. To better understand these changes in terrestrial water storage, scientists have integrated multiple remote sensing datasets with NASA’s advanced land surface model through data assimilation, creating a global water storage reanalysis dataset. The results capture the complex patterns of global water cycle shifts in response to both climate and human activities. Using this new integrated dataset, scientists use statistical methods (time series analysis) to identify trends (TR), seasonal shifts (SS), and changes in extreme events (EFR), ultimately developing an index, the “Nonstationarity Index,” (NSI) that quantifies the degree of nonstationarity within the global water system. || ",
            "hits": 30
        },
        {
            "id": 5444,
            "url": "https://svs.gsfc.nasa.gov/5444/",
            "result_type": "Visualization",
            "release_date": "2025-01-29T12:00:00-05:00",
            "title": "Terrestrial Water Storage: Regional Views 2003 - 2019",
            "description": "The global terrestrial water storage dataset is created using the NASA Land Information System modeling framework to merge land surface model simulations with observations from satellites through data assimilation. The team uses the Noah-MP land surface model and assimilates soil moisture from the European Space Agency’s Climate Change Initiative Program (ESA CCI), leaf area index from the Moderate Resolution Imaging Spectroradiometer (MODIS), and terrestrial water storage anomalies from the Gravity Recovery and Climate Experiment and the follow-on missions (GRACE/GRACE-FO). For more information, please visit our data description page at NASA VEDA dashboard. || ",
            "hits": 32
        },
        {
            "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": 255
        },
        {
            "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": 585
        },
        {
            "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": 81
        },
        {
            "id": 14038,
            "url": "https://svs.gsfc.nasa.gov/14038/",
            "result_type": "Produced Video",
            "release_date": "2022-01-31T11:00:00-05:00",
            "title": "Cinematic Science Helps Researchers Explore Data From NASA’s CAMP2Ex Field Campaign",
            "description": "Music: Relentless Data by Jay Price [UPM] Complete transcript available. || Dashboard.jpg (1920x1080) [846.4 KB] || Dashboard_searchweb.png (320x180) [80.7 KB] || Dashboard_thm.png (80x40) [6.9 KB] || 14038_Dashboard.mov (1920x1080) [1.8 GB] || 14038_Dashboard.mp4 (1920x1080) [131.7 MB] || 14038_Dashboard_VX-319370.webm (960x540) [31.1 MB] || Dashboard.en_US.srt [1.7 KB] || Dashboard.en_US.vtt [1.6 KB] || ",
            "hits": 31
        },
        {
            "id": 31171,
            "url": "https://svs.gsfc.nasa.gov/31171/",
            "result_type": "Hyperwall Visual",
            "release_date": "2021-12-14T00:00:00-05:00",
            "title": "How do we know for sure about Atmospheric Aerosols?",
            "description": "Dr. Brent Holben explains how NASA's program of global ground-based sun photometers measure aerosols at the surface and why those measurements are so vital to understanding the Earth's processes at the 2021 United Nations Climate Change Conference.   Also available on YouTube || COP26_NASA_Hyperwall_Presentation_Atmospheric_Aerosols.02500_print.jpg (1024x576) [112.3 KB] || COP26_NASA_Hyperwall_Presentation_Atmospheric_Aerosols.02500_searchweb.png (320x180) [81.8 KB] || COP26_NASA_Hyperwall_Presentation_Atmospheric_Aerosols.02500_thm.png (80x40) [7.0 KB] || COP26_NASA_Hyperwall_Presentation_Atmospheric_Aerosols.mp4 (1280x720) [135.7 MB] || COP26_NASA_Hyperwall_Presentation_Atmospheric_Aerosols.webm (1280x720) [110.7 MB] || AERONET-COP26-talk2021.en_US.srt [19.2 KB] || AERONET-COP26-talk2021.en_US.vtt [19.0 KB] || ",
            "hits": 82
        },
        {
            "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": 121
        },
        {
            "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": 7
        },
        {
            "id": 4806,
            "url": "https://svs.gsfc.nasa.gov/4806/",
            "result_type": "Visualization",
            "release_date": "2020-03-31T00:00:00-04:00",
            "title": "GRACE Data Assimilation and GEOS-5 Forecasts",
            "description": "GRACE Surface Water, Root Zone, and Groundwater Storage, Okovango Delta Region || okovango_1080p30.00500_print.jpg (1024x576) [74.4 KB] || okovango_1080p30.00500_searchweb.png (320x180) [56.1 KB] || okovango_1080p30.00500_thm.png (80x40) [5.8 KB] || okovango_1080p30.mp4 (1920x1080) [27.9 MB] || okovango_1080p30.webm (1920x1080) [7.1 MB] || okovango_1080p30.mp4.hwshow [388 bytes] || ",
            "hits": 54
        },
        {
            "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": 165
        },
        {
            "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": 32
        },
        {
            "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": 192
        },
        {
            "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": 69
        },
        {
            "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": 228
        },
        {
            "id": 12603,
            "url": "https://svs.gsfc.nasa.gov/12603/",
            "result_type": "Produced Video",
            "release_date": "2017-09-13T11:00:00-04:00",
            "title": "Predicting Malaria Outbreaks With NASA Satellites",
            "description": "In the Amazon Rainforest, few animals are as dangerous to humans as mosquitos that transmit malaria. The tropical disease can bring on severe fever, headaches and chills and is particularly severe for children and the elderly and can cause complications for pregnant women. In rainforest-covered Peru the number of malaria cases has spiked such that, in the past five years, it has had on average the second highest rate in the South American continent. In 2014 and 2015 there were 65,000 reported cases in the country.Containing malaria outbreaks is challenging because it is difficult to figure out where people are contracting the disease. As a result, resources such as insecticide-treated bed nets and indoor sprays are often deployed to areas where few people are getting infected, allowing the outbreak to grow.To tackle this problem, university researchers have turned to data from NASA’s fleet of Earth-observing satellites, which are able to track the types of human and environmental events that typically precede an outbreak. With funding from NASA’s Applied Sciences Program, they are working in partnership with the Peruvian government to develop a system that uses satellite and other data to help forecast outbreaks at the household level months in advance and prevent outbreaks.Additional imagery from: Christopher B. Plunkett FortJames GathanyFábio Medeiros da Costa || ",
            "hits": 39
        },
        {
            "id": 4581,
            "url": "https://svs.gsfc.nasa.gov/4581/",
            "result_type": "Visualization",
            "release_date": "2017-07-24T00:00:00-04:00",
            "title": "Using Satellite and Ground-based Data to Develop Malaria Risk Maps",
            "description": "Malaria is a major problem in the Amazon where malaria mosquitoes tend to prefer wet, hot areas with more standing water. Seasonal occupational movement along rivers and in forested areas increases transmission and concentrates malaria in specific regions. The objective of Malaria Project, an ongoing study led by William Pan and Ben Zaitchik, is to develop a detection and early warning system for malaria risk in the Amazon. Using data from NASA satellites and a Land Data Assimilation System (LDAS), the scientists hope that their research can help health officials pinpoint where to deploy resources and what resources to deploy during a disease outbreak.  By incorporating NASA data such as precipitation, soil moisture, air temperature, and humidity into their new system, scientists are better able to predict where malaria-spreading mosquitoes are breeding. These climate factors in conjunction with a population density and human movement model will help scientists better understand where and when people are at high risk for malaria. The malaria warning system will predict outbreaks and simulate response to help a country's health care system to more strategically determine where to deploy their resources.  Visualizations focus on Peru, one of the central areas of malaria transmission in the Amazon.  Four LDAS data sets -- precipitation, soil moisture, air temperature, and humidity are illustrated below. Combined with public health data, the animations show how these factors may affect the outbreak and evolvement of the disease. || ",
            "hits": 27
        },
        {
            "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": 419
        },
        {
            "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": 6
        },
        {
            "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": 89
        },
        {
            "id": 4519,
            "url": "https://svs.gsfc.nasa.gov/4519/",
            "result_type": "Visualization",
            "release_date": "2016-12-09T00:00:00-05:00",
            "title": "Assimilation of OCO-2 Carbon Dioxide into the GEOS Simulation",
            "description": "This visualization starts by showing carbon dioxide values (colored squares) being measured by the OCO-2 sensor.  Soon the total carbon dioxide from the GEOS global atmosphere simulation is shown under the OCO-2 data.  Every six hours, the OCO-2 measurements are used to adjust the GEOS simulation values to agree with observed values at those locations, a process called data assimilation.  In order to see this process, look for locations where OCO-2 values are shortly followed by local changes in the background data.  Carbon dioxide is shown in parts per million by volume (ppmv).This video is also available on our YouTube channel. || ocogeoscomp.01560_print.jpg (1024x576) [98.7 KB] || ocogeoscomp.01560_searchweb.png (320x180) [64.2 KB] || ocogeoscomp.01560_thm.png (80x40) [5.8 KB] || ocogeoscomp-annotated_1080p30.webm (1920x1080) [19.5 MB] || ocogeoscomp-annotated_1080p30.mp4 (1920x1080) [108.6 MB] || ocogeoscomp_new_1080p30.mp4 (1920x1080) [106.2 MB] || newannotated (3840x2160) [0 Item(s)] || newcomp (3840x2160) [0 Item(s)] || ocogeoscomp-annotated_4519.key [109.8 MB] || ocogeoscomp-annotated_4519.pptx [109.5 MB] || ocogeoscomp-annotated_2160p30.mp4 (3840x2160) [336.7 MB] || ocogeoscomp_new_2160p30.mp4 (3840x2160) [333.7 MB] || the-earth-observing-fleet-by-theme-aerosols-atmospheric-chemistry.hwshow [1.5 KB] || ocogeoscomp_new_1080p30.mp4.hwshow [218 bytes] || ",
            "hits": 128
        },
        {
            "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": 40243,
            "url": "https://svs.gsfc.nasa.gov/gallery/hyperwall-earth/",
            "result_type": "Gallery",
            "release_date": "2015-07-24T00:00:00-04:00",
            "title": "Hyperwall Earth",
            "description": "Hyperwall stories in the Earth Category\nReturn to Main Hyperwall Gallery.",
            "hits": 142
        },
        {
            "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": 66
        },
        {
            "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": 24
        },
        {
            "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": 27
        },
        {
            "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": 207
        },
        {
            "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": 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": 64
        },
        {
            "id": 4044,
            "url": "https://svs.gsfc.nasa.gov/4044/",
            "result_type": "Visualization",
            "release_date": "2013-02-27T00:00:00-05:00",
            "title": "The Distributed Water Balance of the Nile Basin",
            "description": "This visualization shows how satellite data and NASA models are being applied to study the hydrology of the Nile basin. The Tropical Rainfall Measurement Mission (TRMM) Multisensor Precipitation Analysis (TMPA) provides three-hourly estimates of rainfall rate across much of the globe. Here we see the seasonal cycle of monthly precipitation derived from TMPA for Africa, including the Nile Basin. The annual migration of the Intertropical Convergence Zone (ITCZ) from the Nile Equatorial Lakes region around Lake Victoria, source of the White Nile, northward into Sudan and the highlands of Ethiopia, headwaters of the Blue Nile, and back is evident in the seasonal cycle in precipitation. This precipitation cycle drives flow through the Nile River system. The Nile basin, however, is intensely evaporative, and the majority of the water that falls as rain leaves the basin as evaporation rather than river flow—either from the humid headwaters regions or from large reservoirs and irrigation developments in Egypt and Sudan. The Atmosphere Land Exchange Inverse (ALEXI) evapotranspiration product, developed by USDA scientists, uses satellite data to map daily evapotranspiration across the entire Nile basin, providing unprecedented information on water consumption. The balance of rainfall and evapotranspiration can be seen in seasonal patterns of soil moisture, as simulated by the NASA Nile Land Data Assimilation System (LDAS), which merges satellite information with a physically-based land surface model to simulate variability in soil moisture—a critical variable for rainfed agriculture and natural ecosystems. Finally, the twin satellites of the Gravity Recovery and Climate Experiment (GRACE) can be used to monitor variability in total water storage, including surface water, soil moisture, and groundwater. The annual cycle in GRACE estimates of water storage anomalies clearly shows the seasonal movement of water storage due to precipitation patterns and the movement of surface waters from headwaters regions into the wetlands of South Sudan and the reservoirs of the lower Nile basin.The Nile is the longest river in the world and its basin is shared by 11 countries. Reliable, spatially distributed estimates of hydrologic storage and fluxes can provide critical information for water managers contending with multiple resource demands, a variable and changing climate, and the risk of damaging floods and droughts. NASA observations and modeling systems offer unique capabilities to meet these information needs. || ",
            "hits": 86
        },
        {
            "id": 3726,
            "url": "https://svs.gsfc.nasa.gov/3726/",
            "result_type": "Visualization",
            "release_date": "2010-07-30T00:00:00-04:00",
            "title": "NCCS Hyperwall Show: MERRA Timeline",
            "description": "This animation is a timeline intended to accompany the NCCS MERRA hyperwall show. The timeline shows the extent of the MERRA data set along with the period that the NCCS hyperwall MERRA show covers. The MERRA show includes visualizations from May through July for the years 1993 (a flood year for central North America) and 1988 (a drought year for central North America). Visualizations synchronized in time are shown above and below the timeline on the hyperwall.MERRA. is the Modern Era Retrospective-analysis for Research and Applications. It is a 30-year continuous data record based on a computational atmospheric model that includes assimilated satellite data. MERRA uses the Goddard Earth Observing System Data Assimilation System Version 5 (GEOS-5) model.This visualization was created for display on the NASA Center for Climate Simulation (NCCS) hyperwall. 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. This movie was rendered at this high resolution, then diced up into images to be displayed on each screen. || ",
            "hits": 22
        },
        {
            "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": 9
        },
        {
            "id": 3732,
            "url": "https://svs.gsfc.nasa.gov/3732/",
            "result_type": "Visualization",
            "release_date": "2010-06-24T00:00:00-04:00",
            "title": "MERRA Relative 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 relative 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": 35
        },
        {
            "id": 3733,
            "url": "https://svs.gsfc.nasa.gov/3733/",
            "result_type": "Visualization",
            "release_date": "2010-06-24T00:00:00-04:00",
            "title": "MERRA Wind",
            "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 combined U and V components of wind at three different pressure levels: 850 mb, 500 mb, and 300 mb. The pressure coordinate is greatly exaggerated.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": 43
        },
        {
            "id": 3734,
            "url": "https://svs.gsfc.nasa.gov/3734/",
            "result_type": "Visualization",
            "release_date": "2010-06-24T00:00:00-04:00",
            "title": "MERRA Combined Liquid Water and Ice Mixing Ratios",
            "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 combined liquid water and ice mixing ratio dataset produced by MERRA, roughly corresponding to cloud cover, up to an 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": 16
        },
        {
            "id": 3735,
            "url": "https://svs.gsfc.nasa.gov/3735/",
            "result_type": "Visualization",
            "release_date": "2010-06-24T00:00:00-04:00",
            "title": "MERRA Rate of Total Precipitation, 1988, 1993",
            "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 total precipitation rate dataset produced by MERRA.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": 10
        },
        {
            "id": 2366,
            "url": "https://svs.gsfc.nasa.gov/2366/",
            "result_type": "Visualization",
            "release_date": "2002-02-06T12:00:00-05:00",
            "title": "NSIPP North America Forecast December 1, 2001 - November 30, 2002: Sea Surface Temperature Anomaly",
            "description": "Sea surface temperature anomalies forecasted in the northern Pacific for December 2001 through November 2002, from the NASA Seasonal-to-Interannual Prediction Project || a002366.00005_print.png (720x480) [437.7 KB] || a002366_thm.png (80x40) [4.4 KB] || a002366_pre.jpg (320x238) [7.6 KB] || a002366_pre_searchweb.jpg (320x180) [51.8 KB] || a002366.webmhd.webm (960x540) [7.0 MB] || a002366.dv (720x480) [130.3 MB] || a002366.mpg (352x240) [5.4 MB] || ",
            "hits": 10
        },
        {
            "id": 2367,
            "url": "https://svs.gsfc.nasa.gov/2367/",
            "result_type": "Visualization",
            "release_date": "2002-02-06T12:00:00-05:00",
            "title": "NSIPP N. America Forecast Dec. 1, 2001 - Nov. 30, 2002: Sea Surface Temp. Anomaly, Water Vapor, Soil Moisture",
            "description": "Sea surface temperature anomalies, atmospheric water vapor, and soil moisture forecasted in the northern Pacific and North America for December 2001 through November 2002, from the NASA Seasonal-to-Interannual Prediction Project || a002367.00005_print.png (720x480) [447.9 KB] || a002367_thm.png (80x40) [4.5 KB] || a002367_pre.jpg (320x238) [7.1 KB] || a002367_pre_searchweb.jpg (320x180) [49.4 KB] || a002367.webmhd.webm (960x540) [6.0 MB] || a002367.dv (720x480) [130.3 MB] || a002367.mpg (352x240) [5.7 MB] || ",
            "hits": 8
        },
        {
            "id": 2368,
            "url": "https://svs.gsfc.nasa.gov/2368/",
            "result_type": "Visualization",
            "release_date": "2002-02-06T12:00:00-05:00",
            "title": "NSIPP North America Forecast Dec. 1, 2001 - Nov. 30, 2002: Sea Surface Temperature Anomaly, Water Vapor",
            "description": "Sea surface temperature anomalies and atmospheric water vapor forecasted in the northern Pacific and over North America for December 2001 through November 2002, from the NASA Seasonal-to-Interannual Prediction Project || a002368.00095_print.png (720x480) [438.0 KB] || a002368_thm.png (80x40) [4.5 KB] || a002368_pre.jpg (320x238) [7.4 KB] || a002368_pre_searchweb.jpg (320x180) [48.1 KB] || a002368.webmhd.webm (960x540) [7.0 MB] || a002368.dv (720x480) [130.3 MB] || a002368.mpg (352x240) [5.7 MB] || ",
            "hits": 7
        },
        {
            "id": 2132,
            "url": "https://svs.gsfc.nasa.gov/2132/",
            "result_type": "Visualization",
            "release_date": "2001-05-01T12:00:00-04:00",
            "title": "NSIPP: North America Soil Moisture",
            "description": "An animation of soil moisture from December 1999 through June 2000 for North America from the NSIPP global climate model || a002132.00095_print.png (720x480) [460.5 KB] || a002132_thm.png (80x40) [4.5 KB] || a002132_pre.jpg (320x238) [7.4 KB] || a002132_pre_searchweb.jpg (320x180) [54.1 KB] || a002132.webmhd.webm (960x540) [3.1 MB] || a002132.dv (720x480) [157.4 MB] || a002132.mp4 (640x480) [8.3 MB] || a002132.mpg (352x240) [5.7 MB] || ",
            "hits": 16
        },
        {
            "id": 259,
            "url": "https://svs.gsfc.nasa.gov/259/",
            "result_type": "Visualization",
            "release_date": "1997-11-01T12:00:00-05:00",
            "title": "Global Methane Isosurface Wave",
            "description": "An animation of a three-dimensional isosurface of global methane in the atmosphere evolving over time, from a global data assimilation model.  The globe of the Earth starts out opaque, then becomes transparent in order to more clearly see the structure of the isosurface.  The isosurface exhibits wave breaking in the southern hemisphere. || a000259_thm.png (80x40) [4.6 KB] || a000259_pre.jpg (320x238) [6.2 KB] || a000259_pre_searchweb.jpg (320x180) [38.5 KB] || preview_made_from_dv.00030_print.png (352x240) [99.1 KB] || a000259.webmhd.webm (960x540) [5.2 MB] || a000259.mpg (352x240) [11.5 MB] || ",
            "hits": 18
        },
        {
            "id": 108,
            "url": "https://svs.gsfc.nasa.gov/108/",
            "result_type": "Visualization",
            "release_date": "1996-03-22T12:00:00-05:00",
            "title": "Assimilation of N2O in the Upper Atmosphere Using a Kalman Filter: N2O Mixing Ratio",
            "description": "This series of animations shows assimilation of N2O in the upper atmosphere using observations from the Cryogenic Limb Etalon Spectrometer (CLAES) on the Upper Atmosphere Research Satellite (UARS). Winds were provided by the Goddard EOS Data Assimilation System (GEOS-DAS). Flow is at the 850K isentropic level. N2O mixing ratio is expressed in parts per billion volume (ppbv). || ",
            "hits": 23
        },
        {
            "id": 1394,
            "url": "https://svs.gsfc.nasa.gov/1394/",
            "result_type": "Visualization",
            "release_date": "1996-03-22T12:00:00-05:00",
            "title": "Assimilation of N2O in the Upper Atmosphere Using a Kalman Filter: Error Correlation",
            "description": "This series of animations shows assimilation of N2O in the upper atmosphere using observations from the Cryogenic Limb Etalon Spectrometer (CLAES) on the Upper Atmosphere Research Satellite (UARS). Winds were provided by the Goddard EOS Data Assimilation System (GEOS-DAS). Flow is at the 850K isentropic level. N2O mixing ratio is expressed in parts per billion volume (ppbv). || ",
            "hits": 12
        },
        {
            "id": 1391,
            "url": "https://svs.gsfc.nasa.gov/1391/",
            "result_type": "Visualization",
            "release_date": "1996-01-01T12:00:00-05:00",
            "title": "3D Global Methane",
            "description": "An animation of the three-dimensional structure of global methane evolving over time, from a global data assimilation model || a001391.00095_print.png (720x480) [425.2 KB] || a001391_thm.png (80x40) [3.9 KB] || a001391_pre.jpg (320x238) [7.7 KB] || a001391_pre_searchweb.jpg (320x180) [62.4 KB] || a001391.webmhd.webm (960x540) [2.0 MB] || a001391.dv (720x480) [29.3 MB] || a001391.mp4 (640x480) [1.7 MB] || a001391.mpg (352x240) [1.1 MB] || ",
            "hits": 17
        }
    ]
}