{ "count": 14, "next": null, "previous": null, "results": [ { "id": 14351, "url": "https://svs.gsfc.nasa.gov/14351/", "result_type": "Produced Video", "release_date": "2023-05-17T00:00:00-04:00", "title": "The Science of Snow: Digging for Data", "description": "Complete transcript available. || thumbnail2.jpg (1920x1080) [643.5 KB] || thumbnail2_searchweb.png (320x180) [89.4 KB] || thumbnail2_web.png (320x180) [89.4 KB] || thumbnail2_thm.png (80x40) [7.8 KB] || SnowEx_2023_Final_Export.webm (1920x1080) [2.6 MB] || SnowEx_Transcript.mp4 [22.6 MB] || SnowEx_2023_Final_Export.mp4 (1920x1080) [1.4 GB] || ", "hits": 33 }, { "id": 4629, "url": "https://svs.gsfc.nasa.gov/4629/", "result_type": "Visualization", "release_date": "2018-03-29T00:00:00-04:00", "title": "Snowflakes Melting Simulation Over Turntable", "description": "Clockwise rotating turntable of a cluster of melting snowflakes. || turntable_v39.0000_print.jpg (1024x576) [69.2 KB] || turntable_v39.0000_searchweb.png (320x180) [34.1 KB] || turntable_v39.0000_thm.png (80x40) [3.4 KB] || turntable_v39_1080p30.mp4 (1920x1080) [13.2 MB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || turntable_v39_1080p30.webm (1920x1080) [2.7 MB] || turntable_v39_1080p30.mp4.hwshow [187 bytes] || ", "hits": 31 }, { "id": 4630, "url": "https://svs.gsfc.nasa.gov/4630/", "result_type": "Visualization", "release_date": "2018-03-29T00:00:00-04:00", "title": "Falling Snowflakes Melting Simulation", "description": "Simulation of a melting snowflakes tumbling. || falling_flake.0000_print.jpg (1024x576) [54.2 KB] || falling_flake.0000_searchweb.png (320x180) [25.3 KB] || falling_flake.0000_thm.png (80x40) [2.6 KB] || falling_flake.0.mp4 (1920x1080) [12.3 MB] || 1920x1080_16x9_60p (1920x1080) [0 Item(s)] || falling_flake.0.webm (1920x1080) [2.7 MB] || falling_flake.0.mp4.hwshow [202 bytes] || ", "hits": 58 }, { "id": 12496, "url": "https://svs.gsfc.nasa.gov/12496/", "result_type": "B-Roll", "release_date": "2017-02-22T17:00:00-05:00", "title": "SnowEx Field Campaign: 4K B-roll From The P-3 Orion Aircraft", "description": "SnowEx is a NASA led multi-year research campaign to improve measurements of how much snow is on the ground at any given time and how much liquid water is contained in that snow.Five aircraft with a total of ten different sensors will participate in the SnowEx campaign. From a base of operations at Peterson Air Force Base, Colorado Springs, SnowEx will deploy a P-3 Orion aircraft operated by the Scientific Development Squadron ONE (VXS-1), based at Naval Air Station Patuxent River, Maryland. A King Air plane will fly out of Grand Junction, Colorado, while high-altitude NASA jets will fly from Johnson Space Center in Houston.The planes will carry passive and active microwave sensors that are good at measuring snow-water equivalent in dry snow, but are less optimal for measuring snow forests or light snow cover. The campaign will also deploy an airborne laser instrument to measure snow depth, and airborne sensors to measure surface temperature and reflected light from snow.Data acquired from the SnowEx campaign will be stored at the National Snow and Ice Data Center in Boulder, Colorado, and will be available to anyone to order at no cost, as is the case with all NASA data.For more information: https://www.nasa.gov/earthexpeditions || ", "hits": 38 }, { "id": 12489, "url": "https://svs.gsfc.nasa.gov/12489/", "result_type": "B-Roll", "release_date": "2017-02-14T02:00:00-05:00", "title": "SnowEx Field Campaign: B-roll From The P-3 Orion Aircraft", "description": "SnowEx is a NASA led multi-year research campaign to improve measurements of how much snow is on the ground at any given time and how much liquid water is contained in that snow.Five aircraft with a total of ten different sensors will participate in the SnowEx campaign. From a base of operations at Peterson Air Force Base, Colorado Springs, SnowEx will deploy a P-3 Orion aircraft operated by the Scientific Development Squadron ONE (VXS-1), based at Naval Air Station Patuxent River, Maryland. A King Air plane will fly out of Grand Junction, Colorado, while high-altitude NASA jets will fly from Johnson Space Center in Houston. The planes will carry passive and active microwave sensors that are good at measuring snow-water equivalent in dry snow, but are less optimal for measuring snow forests or light snow cover. The campaign will also deploy an airborne laser instrument to measure snow depth, and airborne sensors to measure surface temperature and reflected light from snow.Data acquired from the SnowEx campaign will be stored at the National Snow and Ice Data Center in Boulder, Colorado, and will be available to anyone to order at no cost, as is the case with all NASA data.For more information: https://www.nasa.gov/earthexpeditions || ", "hits": 22 }, { "id": 12490, "url": "https://svs.gsfc.nasa.gov/12490/", "result_type": "B-Roll", "release_date": "2017-02-13T00:00:00-05:00", "title": "SnowEx Field Campaign: B-roll From Grand Mesa", "description": "SnowEx is a NASA led multi-year research campaign to improve measurements of how much snow is on the ground at any given time and how much liquid water is contained in that snow.Starting in February, teams of 50 researchers are stationed at Grand Mesa and Senator Beck Basin over a three-week period to measure snow using a variety of snow-sensing instruments and techniques.Ground measurements will allow the team to validate the remotely-sensed measurements acquired by the multiple sensors on the various aircraft.Data acquired from the SnowEx campaign will be stored at the National Snow and Ice Data Center in Boulder, Colorado, and will be available to anyone to order at no cost, as is the case with all NASA data. For more information: https://www.nasa.gov/earthexpeditions/ || ", "hits": 18 }, { "id": 11899, "url": "https://svs.gsfc.nasa.gov/11899/", "result_type": "Produced Video", "release_date": "2015-07-21T13:00:00-04:00", "title": "Scientists Link Earlier Melting Of Snow To Dark Aerosols", "description": "Tiny particles suspended in the air, known as aerosols, can darken snow and ice causing it to absorb more of the sun’s energy. But until recently, scientists rarely considered the effect of all three major types of light-absorbing aerosols together in climate models.In a new study, NASA scientists used a climate model to examine the impact of this snow-darkening phenomenon on Northern Hemisphere snowpacks, including how it affects snow amount and heating on the ground in spring.The study looked at three types of light-absorbing aerosols – dust, black carbon and organic carbon. Black carbon and organic carbon are produced from the burning of fossil fuels, like coal and oil, as well as biofuels and biomass, such as forests.With their snow darkening effect added to NASA’s GEOS-5 climate model, scientists analyzed results from 2002 to 2011, and compared them to model runs done without the aerosols on snow. They found that the aerosols indeed played a role in absorbing more of the sun’s energy. Over broad places in the Northern Hemisphere, the darkened snow caused some surface temperatures to be up to 10 degrees Fahrenheit warmer than it would be if the snow were pristine. As a result, warmer, snow-darkened areas had less snow in spring than they would have had under pristine snow conditions.According to the study, dust’s snow darkening effect significantly contributed to surface warming in Central Asia and the western Himalayas. Black carbon’s snow darkening effect had a larger impact primarily in Europe, the eastern Himalayas and East Asia. It had a smaller impact in North America. Organic carbon’s snow darkening effect was relatively lower but present in regions such as southeastern Siberia, northeastern East Asia and western Canada.“As we add more of these aerosols to the mix, we are potentially increasing our overall impact on Earth’s climate,” said research scientist Teppei Yasunari at NASA’s Goddard Space Flight Center in Greenbelt, Maryland.Research: Impact of snow darkening via dust, black carbon, and organic carbon on boreal spring climate in the Earth systemJournal: Geophysical Research: Atmospheres, June 15, 2015.Link to paper: http://onlinelibrary.wiley.com/doi/10.1002/2014JD022977/fullHere is the YouTube video. || ", "hits": 61 }, { "id": 11900, "url": "https://svs.gsfc.nasa.gov/11900/", "result_type": "Produced Video", "release_date": "2015-07-21T13:00:00-04:00", "title": "Instagram: Scientists Link Earlier Melting Of Snow To Dark Aerosols", "description": "Tiny particles suspended in the air, known as aerosols, can darken snow and ice causing it to absorb more of the sun’s energy. But until recently, scientists rarely considered the effect of all three major types of light-absorbing aerosols together in climate models.In a new study, NASA scientists used a climate model to examine the impact of this snow-darkening phenomenon on Northern Hemisphere snowpacks, including how it affects snow amount and heating on the ground in spring.The study looked at three types of light-absorbing aerosols – dust, black carbon and organic carbon. Black carbon and organic carbon are produced from the burning of fossil fuels, like coal and oil, as well as biofuels and biomass, such as forests.With their snow darkening effect added to NASA’s GEOS-5 climate model, scientists analyzed results from 2002 to 2011, and compared them to model runs done without the aerosols on snow. They found that the aerosols indeed played a role in absorbing more of the sun’s energy. Over broad places in the Northern Hemisphere, the darkened snow caused some surface temperatures to be up to 10 degrees Fahrenheit warmer than it would be if the snow were pristine. As a result, warmer, snow-darkened areas had less snow in spring than they would have had under pristine snow conditions.According to the study, dust’s snow darkening effect significantly contributed to surface warming in Central Asia and the western Himalayas. Black carbon’s snow darkening effect had a larger impact primarily in Europe, the eastern Himalayas and East Asia. It had a smaller impact in North America. Organic carbon’s snow darkening effect was relatively lower but present in regions such as southeastern Siberia, northeastern East Asia and western Canada.“As we add more of these aerosols to the mix, we are potentially increasing our overall impact on Earth’s climate,” said research scientist Teppei Yasunari at NASA’s Goddard Space Flight Center in Greenbelt, Maryland.Research: Impact of snow darkening via dust, black carbon, and organic carbon on boreal spring climate in the Earth systemJournal: Geophysical Research: Atmospheres, June 15, 2015.Link to paper: http://onlinelibrary.wiley.com/doi/10.1002/2014JD022977/fullHere is the YouTube video. || ", "hits": 31 }, { "id": 3720, "url": "https://svs.gsfc.nasa.gov/3720/", "result_type": "Visualization", "release_date": "2010-05-12T00:00:00-04:00", "title": "Annual Gradient Melt over Greenland 1979 Through 2009", "description": "The ice sheet melt extent is a daily (or every-other-day, prior to August 1987) estimate of the spatial extent of wet snow on the Greenland ice sheet derived from passive microwave satellite brightness temperature characteristics. This indicator of melt on each area of the ice sheet for each day of observation is physically based on the changes in microwave emission characteristics observable in data. Although it is not a direct measure of the snow wetness, it is representative of the amount of ice loss due to seasonal melting that occurs on the Greenland ice sheet.This animation is a time series showing the regions of the Greenland ice sheet where melt occurred for more than three days between May 1st and September 30th for each year. Areas in which melt occurred for longer time periods are shown in a darker red while those areas melted for fewer days are shown in lighter red. Areas melted three or less days during the year are not colored. || ", "hits": 161 }, { "id": 3721, "url": "https://svs.gsfc.nasa.gov/3721/", "result_type": "Visualization", "release_date": "2010-05-12T00:00:00-04:00", "title": "Annual Accumulated Melt over Greenland 1979 through 2009", "description": "The ice sheet melt extent is a daily (or every-other-day, prior to August, 1987) estimate of the spatial extent of wet snow on the Greenland ice sheet derived from passive microwave satellite brightness temperature characteristics. This indicator of melt on each area of the ice sheet for each day of observation is physically based on the changes in microwave emission characteristics observable in data.", "hits": 85 }, { "id": 3476, "url": "https://svs.gsfc.nasa.gov/3476/", "result_type": "Visualization", "release_date": "2007-11-07T00:00:00-05:00", "title": "Annual Gradient Melt over Greenland 1979 through 2007", "description": "The ice sheet melt extent is a daily (or every-other-day, prior to August, 1987) estimate of the spatial extent of wet snow on the Greenland ice sheet derived from passive microwave satellite brightness temperature characteristics. This indicator of melt on each area of the ice sheet for each day of observation is physically based on the changes in microwave emission characteristics observable in data. Although it is not a direct measure of the snow wetness, it is representative of the amount of ice loss due to seasonal melting that occurs on the Greenland ice sheet.This animation is a time series showing the regions of the Greenland ice sheet where melt occurred for more than three days between May 1st and September 30th for each year. Areas in which melt occurred for longer time periods are shown in a darker red while those areas melted for fewer days are shown in lighter red. Areas melted three or less days during the year are not colored. || ", "hits": 22 }, { "id": 3475, "url": "https://svs.gsfc.nasa.gov/3475/", "result_type": "Visualization", "release_date": "2007-11-06T00:00:00-05:00", "title": "Annual Accumulated Melt over Greenland 1979 through 2007", "description": "The ice sheet melt extent is a daily (or every-other-day, prior to August, 1987) estimate of the spatial extent of wet snow on the Greenland ice sheet derived from passive microwave satellite brightness temperature characteristics. This indicator of melt on each area of the ice sheet for each day of observation is physically based on the changes in microwave emission characteristics observable in data. Although it is not a direct measure of the snow wetness, it is representative of the amount of ice loss due to seasonal melting that occurs on the Greenland ice sheet.This animation shows the regions of the Greenland ice sheet over which melt occurred more than three days between May 1st and September 30th for each year. || ", "hits": 123 }, { "id": 3410, "url": "https://svs.gsfc.nasa.gov/3410/", "result_type": "Visualization", "release_date": "2007-07-26T00:00:00-04:00", "title": "Change in Elevation over Greenland", "description": "Changes in the Greenland and Antarctic ice sheets are critical in quantifying forecasts for sea level rise. Since its launch in January 2003, the ICESat elevation satellite has been measuring the change in thickness of these ice sheets. This image of Greenland shows the changes in elevation over the Greenland ice sheet between 2003 and 2006, The pink and red regions indicate a slight thickening, while the blue and purple shades indicate a thinning of the ice sheet. || ", "hits": 30 }, { "id": 3054, "url": "https://svs.gsfc.nasa.gov/3054/", "result_type": "Visualization", "release_date": "2004-12-01T12:00:00-05:00", "title": "Jakobshavn Glacial Floe", "description": "Jakobshavn Isbrae holds the record as Greenland's fastest moving glacier and major contributor to the mass balance of the continental ice sheet. Starting in late 2000, following a period of slowing down in the mid 1990s, the glacier showed significant acceleration and nearly doubled its discharge of ice. || ", "hits": 29 } ] }