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    "results": [
        {
            "id": 14228,
            "url": "https://svs.gsfc.nasa.gov/14228/",
            "result_type": "Produced Video",
            "release_date": "2022-10-31T11:00:00-04:00",
            "title": "Clouds 101",
            "description": "Complete transcript available. || Screen_Shot_2022-10-19_at_1.52.39_PM_print.jpg (1024x578) [66.1 KB] || Screen_Shot_2022-10-19_at_1.52.39_PM.png (2844x1607) [3.9 MB] || Clouds_101_Lock.00001_searchweb.png (320x180) [34.8 KB] || Screen_Shot_2022-10-19_at_1.52.39_PM_searchweb.png (320x180) [66.0 KB] || Screen_Shot_2022-10-19_at_1.52.39_PM_web.png (320x180) [66.4 KB] || Screen_Shot_2022-10-19_at_1.52.39_PM_thm.png (80x40) [8.7 KB] || Clouds_101_audio_otter_ai.en_US.srt [9.6 KB] || Clouds_101_audio_otter_ai.en_US.vtt [9.6 KB] || Clouds_101_Lock.mp4 (1920x1080) [974.5 MB] || ",
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        },
        {
            "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] || ",
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        {
            "id": 30046,
            "url": "https://svs.gsfc.nasa.gov/30046/",
            "result_type": "Hyperwall Visual",
            "release_date": "2013-06-19T12:00:00-04:00",
            "title": "Landsat-8 Finds Clouds Hiding in Plain Sight",
            "description": "The presence of high, thin cirrus clouds can be hard to detect and their shadows can interfere with satellite observations. Even satellite sensors designed to “see” beyond the visible spectrum struggle to detect them. Landsat-8’s Operational Land Imager (OLI) can detect these clouds better than previous Landsat sensors because in addition to measuring visible and infrared light in similar ranges to its predecessors, it also includes a shortwave infrared band (band 9)—which is useful for cirrus cloud detection. For example, the natural-color OLI image of the Aral Sea from March 24, 2013 shown here appears to have been taken on a relatively clear day. When viewed in the cirrus-detecting band alone (grayscale image) however, bright white clouds appear. The point of the cirrus band is to alert Landsat users to the presence of cirrus clouds so they know that the data in the pixels under the clouds could be slightly askew. Scientists could then use images taken on a cloud-free day, or they could correct the data from the other spectral bands to account for the cirrus clouds. || ",
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        {
            "id": 3436,
            "url": "https://svs.gsfc.nasa.gov/3436/",
            "result_type": "Visualization",
            "release_date": "2007-07-05T00:00:00-04:00",
            "title": "CloudSat, Calipso and MODIS over Central America",
            "description": "Associated with tropical thunderstorms are broad fields of cirrus clouds that flow out of the tops of the vigorous storm systems that form over warm tropical oceans. These clouds play a role in how much infrared energy is trapped in Earth's atmosphere. NASA's Tropical Composition, Cloud and Climate Coupling (TC4) mission, which runs from July 16, 2007 through August 8, 2007, aims to document the full lifecycle of these clouds. Observations from four A-Train satellites flying in formation will complement the aircraft measurements with large-scale views of many different features of the atmosphere. Observations from this mission along with previous studies will improve our understanding of what effect a warming climate with rising ocean temperatures will have on these cloud systems. These images over Central America, produced in support of the TC4 mission, show a tropical storm system over Central and South America on August 2, 2006 as measured from multiple satellite sensors, including Aqua MODIS, CloudSat and CALIPSO. In this view from the Pacific Ocean, Panama is on the left and South America is shown on the right. In the following series of still images, each satellite's measurement is shown individually and in combination with the others from the same camera viewpoint. The profile showing CloudSat and CALIPSO data is truncated at a height of twenty kilometers and exaggerated ten times. The land topography is also exaggerated by a factor of ten. || ",
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        },
        {
            "id": 20105,
            "url": "https://svs.gsfc.nasa.gov/20105/",
            "result_type": "Animation",
            "release_date": "2007-06-17T00:00:00-04:00",
            "title": "AIM SOFIE and Cloud Composition",
            "description": "The Solar Occultation For Ice Experiment (SOFIE) instrument uses solar occultation to measure cloud particles, temperature and atmospheric gases involved in forming the noctilucent clouds studied by the Aeronomy of Ice in the Mesosphere (AIM) spacecraft. The instrument will reveal the recipe of chemicals that prompt formation of polar mesospheric clouds. It will provide the most accurate and comprehensive look to date of ice particles and chemicals within the clouds as well as of the environment in which these clouds form. || ",
            "hits": 28
        }
    ]
}