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    "results": [
        {
            "id": 11824,
            "url": "https://svs.gsfc.nasa.gov/11824/",
            "result_type": "Produced Video",
            "release_date": "2015-03-27T08:00:00-04:00",
            "title": "NASA On Air: U.S. Snow Cover Time Lapse - Winter 2013 to 2014 in 18 seconds (3/27/2015)",
            "description": "LEAD: Thanks to NASA satellites, water resource scientists are able to keep track of snowpack across the entire country day by day.1. Here is the snow cover from November 2013 to April 2014, in about 18 seconds.2. The winter season’s snow extent was 1.42 million square miles, about 12% above the 30-year average.TAG: In California’s Sierra Nevada Mountains, however, snowpack totals were 25% less than the long-term average. These low levels have resulted in water shortages across the state of California. || WC_Snow_Cover-1920-MASTER_iPad_1920x0180_print.jpg (1024x576) [104.7 KB] || WC_Snow_Cover-1920-MASTER_iPad_1920x0180_searchweb.png (320x180) [77.1 KB] || WC_Snow_Cover-1920-MASTER_iPad_1920x0180_web.png (320x180) [77.1 KB] || WC_Snow_Cover-1920-MASTER_iPad_1920x0180_thm.png (80x40) [5.3 KB] || WC_Snow_Cover-1920-MASTER_WEA_CEN.wmv (1280x720) [5.3 MB] || WC_Snow_Cover.avi (1280x720) [6.1 MB] || WC_Snow_Cover-1920-MASTER_baron.mp4 (1920x1080) [14.7 MB] || WC_Snow_Cover-1920-MASTER_iPad_960x540.m4v (960x540) [21.3 MB] || WC_Snow_Cover-1920-MASTER_iPad_1280x720.m4v (1280x720) [36.7 MB] || WC_Snow_Cover-1920-MASTER_iPad_1920x0180.webm (1920x1080) [2.0 MB] || WC_Snow_Cover-1920-MASTER_NBC_Today.mov (1920x1080) [108.4 MB] || WC_Snow_Cover-1920-MASTER_iPad_1920x0180.m4v (1920x1080) [97.4 MB] || WC_Snow_Cover-1920-MASTER_1920x1080.mov (1920x1080) [335.1 MB] || WC_Snow_Cover-1920-MASTER_prores.mov (1920x1080) [308.3 MB] || WC_Snow_Cover-1920-MASTER_1280x720.mov (1280x720) [411.2 MB] || ",
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        },
        {
            "id": 11823,
            "url": "https://svs.gsfc.nasa.gov/11823/",
            "result_type": "Produced Video",
            "release_date": "2015-03-25T11:00:00-04:00",
            "title": "NASA On Air: Great Lakes Ice Time Lapse - Winter 2013 to 2014 (3/25/2015)",
            "description": "LEAD: Instruments aboard NASA satellites are able to track the winter ice growth and retreat across the Great Lakes.1. Changes in lake ice within a six-month period between 2013 and 2014 can be seen in 18 seconds. 2. The maximum ice extent occurred on March 6, 2014 and covered 92% of the Great Lakes.3. It was the second most extensive ice cover of the past 40 years of satellite observations.TAG: The ice in eastern Lake Superior reached a thickness of three and a half feet, which disrupted shipping routes. || WC_Great_Lakes-1920-MASTER_iPad_1920x0180_print.jpg (1024x576) [132.4 KB] || WC_Great_Lakes-1920-MASTER_iPad_1920x0180_searchweb.png (320x180) [93.1 KB] || WC_Great_Lakes-1920-MASTER_iPad_1920x0180_web.png (320x180) [93.1 KB] || WC_Great_Lakes-1920-MASTER_iPad_1920x0180_thm.png (80x40) [6.5 KB] || WC_Great_Lakes-1920-MASTER_WEA_CEN.wmv (1280x720) [9.1 MB] || WC_Great_Lakes.avi (1280x720) [9.9 MB] || WC_Great_Lakes-1920-MASTER_baron.mp4 (1920x1080) [15.3 MB] || WC_Great_Lakes-1920-MASTER_iPad_960x540.m4v (960x540) [32.1 MB] || WC_Great_Lakes-1920-MASTER_iPad_1280x720.m4v (1280x720) [56.9 MB] || WC_Great_Lakes-1920-MASTER_iPad_1920x0180.webm (1920x1080) [2.0 MB] || WC_Great_Lakes-1920-MASTER_NBC_Today.mov (1920x1080) [146.0 MB] || WC_Great_Lakes-1920-MASTER_iPad_1920x0180.m4v (1920x1080) [136.7 MB] || WC_Great_Lakes-1920-MASTER_prores.mov (1920x1080) [326.2 MB] || WC_Great_Lakes-1920-MASTER_1920x1080.mov (1920x1080) [443.0 MB] || WC_Great_Lakes-1920-MASTER_1280x720.mov (1280x720) [548.4 MB] || ",
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        },
        {
            "id": 4256,
            "url": "https://svs.gsfc.nasa.gov/4256/",
            "result_type": "Visualization",
            "release_date": "2015-03-16T10:00:00-04:00",
            "title": "The Winter of 2013 – 2014: A Cold, Snowy and Icy Winter in North America",
            "description": "This animation shows the snow cover over North America during the 2013-2014 winter as well as the ice concentration over the Great Lakes.  The date and a graph showing the percent of ice cover over the Great Lakes and Lake Superior is shown on this version. || GreatLakes_ice_2014-15_30p.02845_print.jpg (1024x576) [134.0 KB] || GreatLakes_ice_2014-15_30p.02845_searchweb.png (320x180) [90.3 KB] || GreatLakes_ice_2014-15_30p.02845_thm.png (80x40) [6.6 KB] || GreatLakes_Ice_2013-2014_720.mp4 (1280x720) [42.1 MB] || GreatLakes_Ice_2013-2014_1080.mp4 (1920x1080) [74.5 MB] || GreatLakes_ice_withOlay (1920x1080) [0 Item(s)] || GreatLakes_ice_withOlay (1920x1080) [0 Item(s)] || GreatLakes_Ice_2013-2014_720.webm (1280x720) [27.5 MB] || GreatLakes_Ice_2013-2014_4256.key [45.7 MB] || GreatLakes_Ice_2013-2014_4256.pptx [43.1 MB] || ",
            "hits": 32
        },
        {
            "id": 10880,
            "url": "https://svs.gsfc.nasa.gov/10880/",
            "result_type": "Produced Video",
            "release_date": "2011-12-15T00:00:00-05:00",
            "title": "Greenland's Vanishing Ice",
            "description": "The fringe of the Greenland ice sheet endures an annual freeze-and-thaw cycle. Plunging temperatures and ample snow in fall and winter replenish the massive ice sheet, which covers 80 percent of the country's landmass. Endless sun in spring and summer melt ice at the surface and the meltwater runs off through the country's rocky edges to the oceans. This kind of natural cycle allows scientists to observe the impact of climate change over time. Satellites have provided continual monitoring of Greenland's ice cover since 1979. While annual melt patterns vary greatly, three decades of data reveal trends of increasing surface melt and number of melt days, as seen in the first visualization below. The annual Greenland melt also opens a window on one of the most important aspects of science by satellite: With more than one satellite instrument measuring the melt, scientists can compare data to provide a measure of confidence in their observations. In the second visualization, watch how two different satellite datasets created almost mirror-image views of Greenland's ice melt extent in one year. || ",
            "hits": 67
        },
        {
            "id": 3766,
            "url": "https://svs.gsfc.nasa.gov/3766/",
            "result_type": "Visualization",
            "release_date": "2010-09-28T00:00:00-04:00",
            "title": "2007 Greenland Melt Season Study - Stereoscopic Version",
            "description": "The Greenland ice sheet has been the focus of attention recently because of increasing melt in response to regional climate change. Several different remote sensing data products have been used to study surface and near-surface melt characteristics of the Greenland ice sheet for the 2007 melt season when record melt extent and runoff occurred. Here, MODIS daily land surface temperature and a special diurnal melt product, derived from QuikSCAT scatterometer data, measure the evolution of melt on the ice sheet. Although these daily products are sensitive to different geophysical features, they show excellent correspondence when surface melt is present. This animation displays these two geophysical data products of the Greenland ice sheet side-by-side, showing MODIS data on the left side and QuikSCAT data on the right. The 2007 melt season is shown twice. In the first sequence, MODIS surface temperature is compared with several categories of QuikSCAT melt between March 15th and October 13th, 2010. During this sequence, active melt detected by QuikSCAT is shown in light blue, reduced melt is medium blue, and completed melt is dark blue. For the MODIS, surface temperature is shown with the color scale — red indicates a surface temperature greater than -1 degree Celsius. As MODIS shows warmer surface temperature as the melt season progresses, QuikSCAT consistently identifies the corresponding melt.In the second sequence, the MODIS and QuikSCAT melted regions of the ice sheet were accumulated during the melt season. QuikSCAT captures melt earlier, and then melt is detected by MODIS shortly afterward at a higher spatial resolution. The final result (frame) shows the seasonal melt extent which was consistently delineated by both sensors. The cross-verification of these independent measurements, by two different instruments on different satellites, provides a higher confidence level in the melt observations, reducing the uncertainty in climate assessment of Greenland melt.This visualization is a stereoscopic version of animation entry:  #3738: 2007 Greenland Melt Season Study. In this page the visualization content is offered in two different modes to accommodate stereoscopic systems, such as: Left and Right Eye separate and Left and Right Eye side-by-side combined on the same frame. || ",
            "hits": 11
        },
        {
            "id": 3738,
            "url": "https://svs.gsfc.nasa.gov/3738/",
            "result_type": "Visualization",
            "release_date": "2010-07-23T00:00:00-04:00",
            "title": "2007 Greenland Melt Season Study",
            "description": "The Greenland ice sheet has been the focus of attention recently because of increasing melt in response to regional climate change. Several different remote sensing data products have been used to study surface and near-surface melt characteristics of the Greenland ice sheet for the 2007 melt season when record melt extent and runoff occurred. Here, MODIS daily land surface temperature and a special diurnal melt product, derived from QuikSCAT scatterometer data, measure the evolution of melt on the ice sheet. Although these daily products are sensitive to different geophysical features, they show excellent correspondence when surface melt is present. This animation displays these two geophysical data products of the Greenland ice sheet side-by-side, showing MODIS data on the left side and QuikSCAT data on the right. The 2007 melt season is shown twice. In the first sequence, MODIS surface temperature is compared with several categories of QuikSCAT melt between March 15th and October 13th, 2010. During this sequence, active melt detected by QuikSCAT is shown in light blue, reduced melt is medium blue, and completed melt is dark blue. For the MODIS, surface temperature is shown with the color scale — red indicates a surface temperature greater than -1 degree Celsius. As MODIS shows warmer surface temperature as the melt season progresses, QuikSCAT consistently identifies the corresponding melt.In the second sequence, the MODIS and QuikSCAT melted regions of the ice sheet were accumulated during the melt season. QuikSCAT captures melt earlier, and then melt is detected by MODIS shortly afterward at a higher spatial resolution. The final result (frame) shows the seasonal melt extent which was consistently delineated by both sensors. The cross-verification of these independent measurements, by two different instruments on different satellites, provides a higher confidence level in the melt observations, reducing the uncertainty in climate assessment of Greenland melt. || ",
            "hits": 23
        }
    ]
}