{
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    "results": [
        {
            "id": 4575,
            "url": "https://svs.gsfc.nasa.gov/4575/",
            "result_type": "Visualization",
            "release_date": "2017-07-31T00:00:00-04:00",
            "title": "NASA Studies Hurricane Matthew",
            "description": "This data visualization follows Hurricane Matthew throughout its destructive run in the Caribbean and Southeast U.S. coast. By utilizing different data sets from NOAA's GOES satellite, NASA/JAXA's GPM, MERRA-2 model runs, IMERG, Goddard's soil moisture product, and sea surface temperatures, scientists are able to put together a clearer picture of how this hurricane quickly intensified and eventually weakened. || matthew_narrated_v106.5800_print.jpg (1024x576) [189.6 KB] || matthew_narrated_v106.5800_searchweb.png (320x180) [114.8 KB] || matthew_narrated_v106.5800_thm.png (80x40) [7.8 KB] || matthew (1920x1080) [0 Item(s)] || matthew_narrated_v106.webm (1920x1080) [22.0 MB] || matthew_narrated_v106.mp4 (1920x1080) [140.5 MB] || 3840x2160_16x9_30p (3840x2160) [0 Item(s)] || matthew_narrated_v106_4k.mp4 (3840x2160) [443.1 MB] || matthew_narrated_nosound.hwshow || ",
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        {
            "id": 4543,
            "url": "https://svs.gsfc.nasa.gov/4543/",
            "result_type": "Visualization",
            "release_date": "2017-01-23T00:00:00-05:00",
            "title": "Monitoring Hurricane Matthew",
            "description": "This example visualization shows how all of the below data visualizations could be arranged on NASA's 3x3 hyperwall display. || MatthewHyperwall9.01110_print.jpg (1024x576) [227.7 KB] || MatthewHyperwall9.01110_searchweb.png (320x180) [116.5 KB] || MatthewHyperwall9.01110_thm.png (80x40) [8.0 KB] || MatthewHyperwall9.mp4 (1920x1080) [61.9 MB] || MatthewHyperwall9.webm (1920x1080) [4.8 MB] || MatthewHyperwall9_4543.key [64.9 MB] || MatthewHyperwall9_4543.pptx [64.4 MB] || MatthewHyperwall9.mp4.hwshow [206 bytes] || ",
            "hits": 52
        },
        {
            "id": 3935,
            "url": "https://svs.gsfc.nasa.gov/3935/",
            "result_type": "Visualization",
            "release_date": "2012-03-26T00:00:00-04:00",
            "title": "Modelling Weather: Wind, Clouds, and T2M.",
            "description": "This visualization shows a Goddard Earth Observing System Model, Version 5 (GEOS-5) run for most of the month of June, 2005. The simulation was seeded at the beginning of the run and then ran on its own to create a 2 year simulation. Only 25 days of the full run are depicted here. The ocean color layer ranging from blue to orange depict air temperatures 2 meters (T2M) above sea level. Since Sea Surface Temperatures (SST) are typically measured at sea level and below, the T2M model output behaves somewhat differently. Nonetheless, it is a reasonable proxy to SST. Landcover information is taken from the Next Generation Blue Marble dataset. Sea Ice is depicted as solid white and clouds are shades of white. The wind layer is depicted as flowing white arrows.This project was developed in support of a hyperwall show titled \"Pursuit of Light\" which is scheduled to premiere on April 19, 2012 at the Smithsonian Uvar-Hazy Center during the space shuttle Discovery Transfer Ceremony on a Jumbotron. The hyperwall itself is a multi-screen display system that allows for the display of very high resolution images beyond current 1080p HDTV standards, allowing for much greater detail to be shown on much larger screens. Please click here for more information on NASA's travelling hyperwall. || ",
            "hits": 51
        },
        {
            "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. || ",
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    ]
}