{ "count": 100, "next": null, "previous": null, "results": [ { "id": 5361, "url": "https://svs.gsfc.nasa.gov/5361/", "result_type": "Visualization", "release_date": "2024-08-21T00:00:00-04:00", "title": "GPM 10th Anniversary Tour", "description": "Global tour of Earth - stopping off at 10 different spots to highlight significant precipitation events that GPM has covered over the past 10 years. These events include the 2014 Indian Monsoons, Hurricane Kilo in 2015, Hurricane Matthew in 2016, Hurricane Harvey in 2017, the Snow Bomb Cyclone in 2018, Hurricane Dorian in 2019, Hurricane Laura in 2020, El Nino/La Nina in 2021, Australian floods in 2022, Cyclone Freddy in 2023, and the IMERG monthly climatology data product produced in 2024. || TenthAnniv_v34_2024-06-21_1415.01000_print.jpg (1024x576) [215.8 KB] || TenthAnniv_v34_2024-06-21_1415.01000_searchweb.png (320x180) [100.6 KB] || TenthAnniv_v34_2024-06-21_1415.01000_thm.png (80x40) [7.3 KB] || TenthAnniv_v34_2024-06-21_1415_1080p30.mp4 (1920x1080) [76.6 MB] || 1920x1080_16x9_30p [0 Item(s)] || TenthAnniv_v34_2024-06-21_1415_1080p30.webm (1920x1080) [13.2 MB] || TenthAnniv_v34_2024-06-21_1415_1080p30.hwshow [533 bytes] || ", "hits": 57 }, { "id": 31113, "url": "https://svs.gsfc.nasa.gov/31113/", "result_type": "Hyperwall Visual", "release_date": "2020-02-12T00:00:00-05:00", "title": "Snow Cover in the Great Lakes Region, United States", "description": "snow cover in the Great Lakes region with Night Lights || snow-cover-great-lakes_print.jpg (1024x576) [144.8 KB] || snow-cover-great-lakes.png (3840x2160) [8.3 MB] || snow-cover-great-lakes_searchweb.png (320x180) [90.6 KB] || snow-cover-great-lakes_thm.png (80x40) [6.4 KB] || snow-cover-in-the-great-lakes-region-united-states.hwshow [318 bytes] || ", "hits": 37 }, { "id": 12908, "url": "https://svs.gsfc.nasa.gov/12908/", "result_type": "Produced Video", "release_date": "2018-03-29T11:00:00-04:00", "title": "Scientists Create First-Ever 3D Model of a Melting Snowflake", "description": "This visualization is based on the first three-dimensional numerical model of melting snowflakes in the atmosphere, developed by scientist Jussi Leinonen of NASA's Jet Propulsion Laboratory in Pasadena, California. A better understanding of how snow melts can help scientists recognize the signature in radar signals of heavier, wetter snow -- the kind that breaks power lines and tree limbs -- and could be a step toward improving predictions of this hazard.The model reproduces key features of melting snowflakes that have been observed in nature: first, meltwater gathers in any concave regions of the snowflake's surface. These liquid-water regions merge as they grow and eventually form a shell of liquid around an ice core, finally developing into a water drop. The visualization shows a typical snowflake less than half an inch (one centimeter) long. The snowflake is composed of individual ice crystals whose arms became entangled when they collided in the air. The extremities of the arms melt first because they are more exposed to heat from the surrounding air. Water first fills small cavities within the ice crystals, and then these overflow, allowing water to pool into droplets.\"I got interested in modeling melting snow because of the way it affects our observations with remote sensing instruments,\" Leinonen said. A radar \"profile\" of the atmosphere from top to bottom shows a very bright, prominent layer at the altitude where falling snow and hail melt, much brighter than the layers above and below. \"The reasons for this layer are still not particularly clear, and there has been a bit of debate in the community,\" Leinonen explained. Simpler models can reproduce the bright melt layer, but a more detailed model like this one can help scientists to understand it better, particularly how the type of melting snow and the radar wavelengths used to observe it relate to the brightness of the layer.A paper on the numerical model, titled \"Snowflake melting simulation using smoothed particle hydrodynamics,\" recently appeared in the Journal of Geophysical Research - Atmospheres. || ", "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": 23 }, { "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": 47 }, { "id": 12848, "url": "https://svs.gsfc.nasa.gov/12848/", "result_type": "Produced Video", "release_date": "2018-02-08T13:00:00-05:00", "title": "NASA Studies Snow At The Winter Olympics", "description": "This Winter Olympics, NASA will be studying how well researchers can measure snow from the ground and space and provide better data for snowstorm predictions. NASA will make these observations as one of 20 agencies from eleven countries in a project led by the Korean Meteorological Administration called the International Collaborative Experiments for PyeongChang 2018 Olympic and Paralympic Winter Games, or ICE-POP. NASA.gov feature: NASA Seeks the Gold in Winter Olympics Snow || ", "hits": 53 }, { "id": 4615, "url": "https://svs.gsfc.nasa.gov/4615/", "result_type": "Visualization", "release_date": "2018-01-19T00:00:00-05:00", "title": "2018 Snow Cyclone", "description": "This data visualization shows the rapid intensification of the snow cyclone over the east coast beginning on January 3rd, 2018. As the snow cyclone moves up the coast, the data visualization freezes on January 4th to show GPM taking it's measurement of the storm at approximately 5:47Z. The camera then moves down closer to the storm as we slice away the volumetric data to get a sense of what the storm structure looks internally, focusing on the transition from rain to snow. || snow_bomb.0310_print.jpg (1024x576) [187.1 KB] || 1920x1080_16x9_30p (1920x1080) [64.0 KB] || snow_bomb.mp4 (1920x1080) [19.9 MB] || snow_bomb.webm (1920x1080) [3.4 MB] || snow_bomb.mp4.hwshow [190 bytes] || ", "hits": 48 }, { "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 || ", "hits": 67 }, { "id": 4570, "url": "https://svs.gsfc.nasa.gov/4570/", "result_type": "Visualization", "release_date": "2017-04-10T00:00:00-04:00", "title": "April Fool's Day Snow Storm", "description": "This visualization starts over the United States as the viewer watches a weather event form over the east coast. We then freeze on April 1, 2017 as GPM flies overhead collecting data over this weather system. Zooming down to the Northeast, GPM's DPR (3D volumetric precipitation data) is slowly cut away to reveal the inner precipitation structure of the snow storm. Looking closely, one can see a thin band of liquid precipitation that formed in the northern section of the storm eventually tapering into frozen precipitation in the far north. The visualization wraps with the camera pulling back to a bird's eye view of the snow storm. || aprilfools4K_v10.1500_print.jpg (1024x576) [119.3 KB] || aprilfools4K_v10.1500_searchweb.png (320x180) [57.7 KB] || aprilfools4K_v10.1500_thm.png (80x40) [5.2 KB] || aprilfools_v10_1080p30.mp4 (1920x1080) [26.5 MB] || aprilfools_v10_720p30.mp4 (1280x720) [14.5 MB] || aprilfools4K_v10.mp4 (3840x2160) [70.5 MB] || aprilfools_v10_360p30.mp4 (640x360) [5.1 MB] || 3840x2160_16x9_30p (3840x2160) [0 Item(s)] || aprilfools4K_v10.webm (3840x2160) [7.7 MB] || ", "hits": 28 }, { "id": 12549, "url": "https://svs.gsfc.nasa.gov/12549/", "result_type": "Produced Video", "release_date": "2017-03-24T13:00:00-04:00", "title": "How a NASA Science Flight is No Ordinary Journey", "description": "A group of scientists and pilots conducted a series of science flights over Western Colorado for a new five-year NASA-led airborne mission called SnowEx.SnowEx is exploring better ways to measuring how much water is stored in snow-covered regions with the goal of eventually creating a future snow satellite mission. More accurate snow measurements will help scientists and decisions-makers better understand our world’s water supply and better predict floods and droughts. 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:NASA's SnowEx Challenges the Sensing Techniques...'Until They Break'NASA: Snow Science in Support of Our Nation's Water Supply || ", "hits": 37 }, { "id": 4553, "url": "https://svs.gsfc.nasa.gov/4553/", "result_type": "Visualization", "release_date": "2017-03-03T00:00:00-05:00", "title": "North East Snow Storm on December 17, 2016", "description": "Print resolution image of North East snow storm on December 17, 2016. || cover.5100x6600_print.jpg (1024x1325) [201.2 KB] || cover.5100x6600_searchweb.png (320x180) [57.3 KB] || cover.5100x6600_thm.png (80x40) [4.9 KB] || cover.5100x6600.tif (5100x6600) [23.7 MB] || ", "hits": 24 }, { "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": 38 }, { "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": 26 }, { "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": 50 }, { "id": 4548, "url": "https://svs.gsfc.nasa.gov/4548/", "result_type": "Visualization", "release_date": "2017-01-22T11:59:00-05:00", "title": "Category 4 Hurricane Matthew on October 2, 2016", "description": "This data visualization tracks Hurricane Matthew as it intensifies to a Category 5 Hurricane and stops as Matthew turns into a Category 4 Hurricane on October 2, 2016. GPM's GPROF and DPR data swathes are then revealed to show the internal precipitation structure of this strong storm. After most of the DPR data is pulled away, a static 3D wind field is then shown to reveal the flow of air within the structure. DPR is then draped back over the wind fields to show the two datasets together. The winds are derived from GEOS-5. || flyby.1100_print.jpg (1024x576) [116.1 KB] || flyby.1100_searchweb.png (320x180) [68.6 KB] || flyby.1100_thm.png (80x40) [5.2 KB] || flyby_1080p30.mp4 (1920x1080) [31.3 MB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || flyby_1080p30.webm (1920x1080) [5.8 MB] || flyby4K_2160p30.mp4 (3840x2160) [93.2 MB] || 3840x2160_16x9_30p (3840x2160) [0 Item(s)] || flyby_4548.key [33.8 MB] || flyby_4548.pptx [33.5 MB] || flyby_1080p30.mp4.hwshow [179 bytes] || ", "hits": 50 }, { "id": 4512, "url": "https://svs.gsfc.nasa.gov/4512/", "result_type": "Visualization", "release_date": "2016-10-11T17:00:00-04:00", "title": "GPM Monitors Hurricane Matthew Flooding the Carolinas", "description": "This data visualization resumes where the visualization \"GPM Captures Hurricane Matthew Nearing Florida\" leaves off. In this animation Hurricane Matthew travels up the east coast from Florida to the Carolinas. On October 8, 2016 Matthew (still a category 2 hurricane) dumps massive amounts of rain throughout the southeast dousing North and South Carolina. GPM then flies over the area revealing precipitation rates on the ground. As we zoom in closer, GPM's DPR sensor reveals a curtain of 3D rain rates within the massive weather system. || matthew_v4_annotated.4999_print.jpg (1024x576) [143.7 KB] || matthew_v4_annotated.4999_searchweb.png (320x180) [86.4 KB] || matthew_v4_annotated.4999_thm.png (80x40) [6.7 KB] || Matthew_with_annotations (1920x1080) [0 Item(s)] || matthew_v4_annotated_1080p30.mp4 (1920x1080) [20.0 MB] || matthew_v4_annotated_1080p30.webm (1920x1080) [4.0 MB] || matthew_v4_annotated_1080p30.mp4.hwshow [194 bytes] || ", "hits": 39 }, { "id": 4511, "url": "https://svs.gsfc.nasa.gov/4511/", "result_type": "Visualization", "release_date": "2016-10-06T19:00:00-04:00", "title": "GPM Monitors Hurricane Matthew Nearing Florida", "description": "This data visualization resumes where the visualization \"GPM Captures Hurricane Matthew Over Haiti\" leaves off. After dissolving away GPM's DPR and GPROF data over Haiti on October 3rd, 2016, we follow Matthew to October 4th as the eye makes landfall over Haiti. GPM's GPROF sweeps in to show the tremendous amounts of rainfall throughout Haiti. We then move forward in time to October 6th as Matthew approaches Florida. Another GPM GPROF swath shows how close the outer bands of precipitation are to the Florida coast. Finally, we move a little further into the same day revealing the massive amounts of rainfall being produced by this storm as it begins to impact Florida. || mathhew_v3_annotated.3899_print.jpg (1024x576) [141.6 KB] || mathhew_v3_annotated.3899_searchweb.png (320x180) [94.1 KB] || mathhew_v3_annotated.3899_thm.png (80x40) [6.9 KB] || mathhew_v3_annotated_1080p30.mp4 (1920x1080) [25.4 MB] || Matthew_with_annotations (1920x1080) [0 Item(s)] || mathhew_v3_annotated_1080p30.webm (1920x1080) [4.2 MB] || mathhew_v3_annotated_4511.key [28.4 MB] || mathhew_v3_annotated_4511.pptx [28.0 MB] || mathhew_v3_annotated_1080p30.mp4.hwshow [228 bytes] || ", "hits": 35 }, { "id": 4508, "url": "https://svs.gsfc.nasa.gov/4508/", "result_type": "Visualization", "release_date": "2016-10-06T10:00:00-04:00", "title": "GPM Captures Hurricane Matthew Over Haiti", "description": "This animation starts with an overview of North America, Central America, and the Caribbean. As the camera slowly pushes in, Hurricane Matthew begins to form. By the morning of October 2nd, 2016 Matthew is a Category 4 Hurricane immediately south of Haiti and the Dominican Republic. Time then slows down to see GPM's GPROF swath reveal ground precipitation from the hurricane. Now, with the camera closer in the view rotates to reveal a curtain of 3-dimensional radar data from GPM's DPR instrument. DPR shows the 3-D structure of the hurricane's precipitation rates. Areas in blue and purple are frozen precipitation, whereas areas in greens and reds are liquid precipitation. The data for October 2nd then fades away and the hurricane advances to October 3rd, stopping over Haiti. A new satellite pass of GPM GPROF ground precipitation is revealed, followed by a new curtain of 3-D DPR data. || mathhew_v2.2390_print.jpg (1024x576) [167.4 KB] || mathhew_v2.2390_searchweb.png (320x180) [101.7 KB] || mathhew_v2.2390_thm.png (80x40) [7.5 KB] || matthew_v2_annotated_1080p30.mp4 (1920x1080) [60.2 MB] || Matthew_with_annotations (1920x1080) [0 Item(s)] || matthew_v2_annotated_1080p30.webm (1920x1080) [8.0 MB] || matthew_v2_annotated_4508.key [62.7 MB] || matthew_v2_annotated_4508.pptx [62.3 MB] || matthew_v2_annotated_1080p30.mp4.hwshow [228 bytes] || ", "hits": 42 }, { "id": 4507, "url": "https://svs.gsfc.nasa.gov/4507/", "result_type": "Visualization", "release_date": "2016-10-04T15:00:00-04:00", "title": "GPM Captures Hurricane Matthew Before Haiti Landfall", "description": "This animation starts with an overview of North America, Central America, and the Caribbean. As the camera slowly pushes in, Hurricane Matthew begins to form. By the morning of October 2nd, 2016 Matthew is a Category 4 Hurricane immediately south of Haiti and the Dominican Republic. Time then slows down to see GPM's GPROF swath reveal ground precipitation from the hurricane. Now, with the camera closer in the view rotates to reveal a curtain of 3-dimensional radar data from GPM's DPR instrument. DPR shows us the 3-D structure of the hurricane's precipitation rates. Areas in blue and purple are frozen precipitation, whereas areas in greens and reds are liquid precipitation. || mathhew_annotated.1299_print.jpg (1024x576) [174.0 KB] || mathhew_annotated.1299_searchweb.png (320x180) [105.0 KB] || mathhew_annotated.1299_thm.png (80x40) [7.7 KB] || composite_with_annotations (1920x1080) [0 Item(s)] || composite_without_annotations (1920x1080) [0 Item(s)] || gpm_data_layer (1920x1080) [0 Item(s)] || earth_and_cloud_layer (1920x1080) [0 Item(s)] || mathhew_annotated_1080p30.mp4 (1920x1080) [40.1 MB] || matthew_1080p30.mp4 (1920x1080) [38.7 MB] || mathhew_annotated_1080p30.webm (1920x1080) [5.1 MB] || matthew_1080p30.mp4.hwshow [181 bytes] || ", "hits": 43 }, { "id": 4495, "url": "https://svs.gsfc.nasa.gov/4495/", "result_type": "Visualization", "release_date": "2016-09-20T12:00:00-04:00", "title": "GPM scans hurricane Hermine", "description": "Visualization depicting Post-Tropical Cyclone Hermine as observed by the Global Precipitation Measurement (GPM) Core Satellite on September 6th, 2016. GPM/GMI precipitation rates are displayed as the camera moves in on the storm. || hermine.0280_print.jpg (1024x576) [104.9 KB] || hermine.0280_searchweb.png (320x180) [74.8 KB] || hermine.0280_thm.png (80x40) [6.3 KB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || hermine_1080p30.mp4 (1920x1080) [54.7 MB] || hermine_1080p30.webm (1920x1080) [5.0 MB] || 3840x2160_16x9_30p (3840x2160) [0 Item(s)] || hermine_1080p30.mp4.hwshow [181 bytes] || ", "hits": 35 }, { "id": 12185, "url": "https://svs.gsfc.nasa.gov/12185/", "result_type": "Produced Video", "release_date": "2016-03-31T14:00:00-04:00", "title": "Instagram: Why Do Raindrop Sizes Matter In Storms?", "description": "Not all raindrops are created equal. The size of falling raindrops depends on several factors, including where the cloud producing the drops is located on the globe and where the drops originate in the cloud. For the first time, scientists have three-dimensional snapshots of raindrops and snowflakes around the world from space, thanks to the joint NASA and Japan Aerospace Exploration Agency Global Precipitation Measurement (GPM) mission. With the new global data on raindrop and snowflake sizes this mission provides, scientists can improve rainfall estimates from satellite data and in numerical weather forecast models, helping us better understand and prepare for extreme weather events. || ", "hits": 47 }, { "id": 12182, "url": "https://svs.gsfc.nasa.gov/12182/", "result_type": "Produced Video", "release_date": "2016-03-31T13:00:00-04:00", "title": "Why Do Raindrop Sizes Matter In Storms?", "description": "Not all raindrops are created equal. The size of falling raindrops depends on several factors, including where the cloud producing the drops is located on the globe and where the drops originate in the cloud. For the first time, scientists have three-dimensional snapshots of raindrops and snowflakes around the world from space, thanks to the joint NASA and Japan Aerospace Exploration Agency Global Precipitation Measurement (GPM) mission. With the new global data on raindrop and snowflake sizes this mission provides, scientists can improve rainfall estimates from satellite data and in numerical weather forecast models, helping us better understand and prepare for extreme weather events.Watch this video on the NASA Goddard YouTube Channel. || ", "hits": 112 }, { "id": 12091, "url": "https://svs.gsfc.nasa.gov/12091/", "result_type": "Produced Video", "release_date": "2015-12-01T12:00:00-05:00", "title": "OLYMPEX Scientist Profiles", "description": "Video profiles of researchers and scientists in the field during the OLYMPEX field campaign (2015-2016).From November 10 through December 21, NASA and university scientists are taking to the field to study wet winter weather near Seattle, Washington. With weather radars, weather balloons, specialized ground instruments, and NASA's DC-8 flying laboratory, the science team will be verifying rain and snowfall observations made by the Global Precipitation Measurement (GPM) satellite mission on a NASA-led field campaign, The Olympic Mountain Experiment, or OLYMPEX.This is Rachael Kroodsma's profile on YouTube.This is Joe Zagrodnik's profile on YouTube. || ", "hits": 45 }, { "id": 12050, "url": "https://svs.gsfc.nasa.gov/12050/", "result_type": "Produced Video", "release_date": "2015-11-10T16:00:00-05:00", "title": "Researchers Gear Up For OLYMPEX", "description": "From November 10 through December 21, NASA and university scientists are taking to the field to study wet winter weather near Seattle, Washington. With weather radars, weather balloons, specialized ground instruments, and NASA's DC-8 flying laboratory, the science team will be verifying rain and snowfall observations made by the Global Precipitation Measurement (GPM) satellite mission on a NASA-led field campaign, The Olympic Mountain Experiment, or OLYMPEX.For more information: http://www.nasa.gov/feature/goddard/nasa-heads-to-pacific-northwest-for-field-campaign-to-measure-rain-and-snowfall || ", "hits": 46 }, { "id": 4369, "url": "https://svs.gsfc.nasa.gov/4369/", "result_type": "Visualization", "release_date": "2015-10-01T00:00:00-04:00", "title": "Painting the World with Water (New Colorbar)", "description": "An animation depicting the build-up of precipitation data on a flat map from the Global Precipitation Measurement constellation of satellites, resulting in the IMERG global precipitation data set.This video is also available on our YouTube channel. || GPM_Fleet_IMERG_new_1080p.00556_print.jpg (1024x576) [197.6 KB] || GPM_Fleet_IMERG_new_1080p.00556_searchweb.png (320x180) [97.5 KB] || GPM_Fleet_IMERG_new_1080p.00556_thm.png (80x40) [7.3 KB] || flatcomposite (1920x1080) [0 Item(s)] || GPM_Fleet_IMERG_new_1080p_30.webm (1920x1080) [33.8 MB] || GPM_Fleet_IMERG_new_1080p_30.mp4 (1920x1080) [470.0 MB] || flatcomposite (3600x1800) [0 Item(s)] || flatalpha (3600x1800) [0 Item(s)] || GPM_Fleet_IMERG_new_4369.pptx [96.1 MB] || GPM_Fleet_IMERG_new_4369.key [98.6 MB] || date_layer_black (350x80) [0 Item(s)] || GPM_Fleet_IMERG_new_1080p_30.mp4.hwshow [225 bytes] || ", "hits": 192 }, { "id": 4307, "url": "https://svs.gsfc.nasa.gov/4307/", "result_type": "Visualization", "release_date": "2015-07-21T13:00:00-04:00", "title": "Impact of Snow Darkening on Boreal Spring Climate", "description": "Figure 1b: This image shows how the reduced albedo of the snow from dust, black carbon and organic carbon (the \"snow darkening effect\") alters difference in snow water equivalent through increased springtime melt. A colorbar reflects the quantities of the difference. || Figure_1_B_disk_20_medium_layers_with_Legend_print.jpg (1024x1075) [252.0 KB] || Figure_1_B_disk_20_medium_layers_with_Legend_searchweb.png (320x180) [5.9 MB] || Figure_1_B_disk_20_medium_layers_with_Legend_thm.png (80x40) [5.8 MB] || Figure_1_B_disk_20_medium_layers_with_Legend.tif (2000x2100) [11.2 MB] || Figure_1_B_disk_30_large_layers_with_Legend.tif (3000x3150) [24.5 MB] || Figure_1_B_disk_30_large_layers_with_Legend.psd (3000x3150) [30.5 MB] || Figure_1_B_disk_40_extra_large_layers_with_Legend.tif (4000x4200) [43.0 MB] || Figure_1_B_disk_40_extra_large_layers_with_Legend.psd (4000x4200) [53.6 MB] || ", "hits": 37 }, { "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": 67 }, { "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": 22 }, { "id": 11832, "url": "https://svs.gsfc.nasa.gov/11832/", "result_type": "Produced Video", "release_date": "2015-04-08T19:00:00-04:00", "title": "GPM Scientists Answer Students' Questions About Global Precipitation", "description": "GPM scientists answer questions from students about global precipitation. || imerg1_print.jpg (1024x564) [132.4 KB] || imerg1_thm.png (80x40) [28.1 KB] || imerg1.jpg (350x193) [47.9 KB] || imerg1_web.jpg (319x176) [49.0 KB] || imerg1_searchweb.png (320x180) [130.8 KB] || Fixed_Kids_Question_GPM_Scientist_.mov (1280x720) [11.2 GB] || Fixed_Kids_Question_GPM_Scientist__appletv_subtitles.m4v (960x540) [287.0 MB] || Fixed_Kids_Question_GPM_Scientist__prores.mov (1280x720) [11.2 GB] || Fixed_Kids_Question_GPM_Scientist__1280x720.wmv (1280x720) [337.8 MB] || Fixed_Kids_Question_GPM_Scientist__appletv.m4v (960x540) [287.3 MB] || Fixed_Kids_Question_GPM_Scientist__appletv.webm (960x540) [78.5 MB] || Fixed_Kids_Question_GPM_Scientist__youtube_hq.mov (1280x720) [647.2 MB] || Fixed_Kids_Question_GPM_Scientist__ipod_lg.m4v (640x360) [117.3 MB] || Fixed_Kids_Question_GPM_Scientist__720x480.wmv (720x480) [329.9 MB] || Kids_Question_GPM_Scientist.en_US.vtt [14.6 KB] || Kids_Question_GPM_Scientist.en_US.srt [14.6 KB] || Fixed_Kids_Question_GPM_Scientist__ipod_sm.mp4 (320x240) [61.8 MB] || ", "hits": 25 }, { "id": 4303, "url": "https://svs.gsfc.nasa.gov/4303/", "result_type": "Visualization", "release_date": "2015-04-08T12:00:00-04:00", "title": "GPM Examines Super Typhoon Maysak", "description": "Visualization depicting Typhoon Maysak in the Southwest Pacific region as observed by the Global Precipitation Measurement (GPM) Core Satellite on March 30th, 2015. GPM/GMI precipitation rates are displayed as the camera moves in on the storm. A slicing plane moves across the volume to display precipitation rates throughout the structure of the storm. Shades of green to red represent liquid precipitation extending down to the ground. This video is also available on our YouTube channel. || Maysak_1080.1345_print.jpg (1024x576) [104.6 KB] || Maysak_1080.1345_print_thm.png (80x40) [6.4 KB] || Maysak_1080.1345_searchweb.png (320x180) [91.5 KB] || Maysak_720p30.mp4 (1280x720) [10.1 MB] || Maysak_1080p30.mp4 (1920x1080) [17.4 MB] || 1920x1080_16x9_30p (1920x1080) [128.0 KB] || Mayask_colorbar_1080p_p30.mp4 (1920x1080) [36.3 MB] || Mayask_colorbar_1080p_p30.webm (1920x1080) [4.0 MB] || Maysak_360p30.mp4 (640x360) [3.9 MB] || ", "hits": 20 }, { "id": 11826, "url": "https://svs.gsfc.nasa.gov/11826/", "result_type": "Produced Video", "release_date": "2015-03-31T20:00:00-04:00", "title": "GPM April Showers Bring May Flowers Live Shots 4.1.15", "description": "April Showers Bring May Flowers. || imerg1_print.jpg (1024x564) [132.4 KB] || imerg1_thm.png (80x40) [28.1 KB] || imerg1_web.jpg (319x176) [49.0 KB] || imerg1.jpg (350x193) [47.9 KB] || imerg1_searchweb.png (320x180) [130.8 KB] || GPM_LS_Broll_4_1_15_appletv.webm (960x540) [64.7 MB] || GPM_LS_Broll_4_1_15_appletv.m4v (960x540) [258.9 MB] || GPM_LS_Broll_4_1_15_1280x720.wmv (1280x720) [304.3 MB] || GPM_LS_Broll_4_1_15_youtube_hq.mov (1280x720) [779.3 MB] || GPM_LS_Broll_4_1_15_ipod_lg.m4v (640x360) [97.6 MB] || GPM_LS_Broll_4_1_15_nasaportal.mov (640x360) [226.9 MB] || GPM_LS_Broll_4_1_15_ipod_sm.mp4 (320x240) [48.1 MB] || GPM_LS_Broll_4_1_15.mov (1280x720) [8.8 GB] || ", "hits": 32 }, { "id": 4283, "url": "https://svs.gsfc.nasa.gov/4283/", "result_type": "Visualization", "release_date": "2015-03-31T12:00:00-04:00", "title": "Painting the World with Water", "description": "An animation depicting the build-up of precipitation data on the globe from the Global Precipitation Measurement constellation of satellites, resulting in the IMERG global precipitation data set. || GPM_Fleet_IMERG_globe.00556_print.jpg (1024x576) [66.4 KB] || GPM_Fleet_IMERG_globe.00556_searchweb.png (180x320) [41.1 KB] || GPM_Fleet_IMERG_globe.00556_web.png (320x180) [41.1 KB] || GPM_Fleet_IMERG_globe.00556_thm.png (80x40) [3.7 KB] || GPM_Fleet_IMERG_globe.webm (1920x1080) [5.8 MB] || GPM_Fleet_IMERG_globe.mp4 (1920x1080) [55.2 MB] || globecomposite (1920x1080) [128.0 KB] || GPM_Fleet_IMERG_globe_4283.pptx [55.9 MB] || GPM_Fleet_IMERG_globe_4283.key [58.4 MB] || GPM_Fleet_IMERG_globe.mp4.hwshow [214 bytes] || ", "hits": 85 }, { "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] || ", "hits": 73 }, { "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] || ", "hits": 41 }, { "id": 11818, "url": "https://svs.gsfc.nasa.gov/11818/", "result_type": "Produced Video", "release_date": "2015-03-23T11:00:00-04:00", "title": "Wyoming Snowmelt 2013", "description": "Images from NASA/USGS Landsat satellites show the snowcover in Wyoming's Fremont Lake Basin throughout 2013. NASA scientists have used Landsat data from 1972-2013 to determine that the snow is melting 16 days earlier. || Wyoming_Snowmelt_2013_nasaportal_print.jpg (1024x576) [212.1 KB] || Wyoming_Snowmelt_2013_nasaportal_searchweb.png (320x180) [143.5 KB] || Wyoming_Snowmelt_2013_nasaportal_web.png (320x180) [143.5 KB] || Wyoming_Snowmelt_2013_nasaportal_thm.png (80x40) [8.7 KB] || Wyoming_Snowmelt_2013_youtube_hq.mov (1920x1080) [15.1 MB] || Wyoming_Snowmelt_2013_appletv.m4v (960x540) [6.1 MB] || Wyoming_Snowmelt_2013_prores.mov (1280x720) [234.7 MB] || Wyoming_Snowmelt_2013_1280x720.wmv (1280x720) [6.9 MB] || Wyoming_Snowmelt_2013_appletv.webm (960x540) [1.5 MB] || Wyoming_Snowmelt_2013_nasaportal.mov (640x360) [4.5 MB] || Wyoming_Snowmelt_2013_ipod_lg.m4v (640x360) [2.3 MB] || GSFC_20150323_Wyoming_m11818_Snowmelt.en_US.vtt [64 bytes] || Wyoming_Snowmelt_2013_ipod_sm.mp4 (320x240) [1.0 MB] || ", "hits": 43 }, { "id": 11789, "url": "https://svs.gsfc.nasa.gov/11789/", "result_type": "Produced Video", "release_date": "2015-02-26T13:45:00-05:00", "title": "Instagram: NASA's First Global Rainfall And Snowfall Map", "description": "Global Precipitation Measurement mission has produced its first global map of rainfall and snowfall.Like a lead violin tuning an orchestra, the GPM Core Observatory – launched one year ago on Feb. 27, 2014 as a collaboration between NASA and the Japan Aerospace Exploration Agency – acts as the standard to unify precipitation measurements from a network of 12 satellites. The result is NASA's Integrated Multi-satellite Retrievals for GPM data product, called IMERG, which combines all of these data from 12 satellites into a single, seamless map.This first IMERG data set spans the initial months of GPM data collection from April to September, 2014. The precipitation data collected covers the 87 percent of the globe that falls between 60 degrees north and 60 degrees south latitude, updated every half hour.The map covers more of the globe than any previous NASA precipitation data set, allowing scientists to see how rain and snowstorms move around nearly the entire planet. As scientists work to understand all the elements of Earth’s climate and weather systems, and how they could change in the future, GPM provides a major step forward in providing the scientific community comprehensive and consistent measurements of precipitation. || ", "hits": 24 }, { "id": 11784, "url": "https://svs.gsfc.nasa.gov/11784/", "result_type": "Produced Video", "release_date": "2015-02-26T13:30:00-05:00", "title": "GPM Yields IMERG", "description": "GPM Project Scientist Dr. Gail Skofronick-Jackson and Deputy Project Scientist Dr. George Huffman narrate a look at the new GPM IMERG global dataset.Complete transcript in Brazilian Portuguese available. || IMERG_Final_Cut_v2_youtube_hq.00152_print.jpg (1024x576) [181.2 KB] || IMERG_Final_Cut_v2_youtube_hq_print.jpg (1024x576) [195.5 KB] || IMERG_Final_Cut_v2_youtube_hq_thm.png (80x40) [7.4 KB] || IMERG_Final_Cut_v2_youtube_hq_web.png (320x180) [95.0 KB] || IMERG_Final_Cut_v2_youtube_hq_searchweb.png (320x180) [95.0 KB] || IMERG_Final_Cut_v2_appletv_subtitles.m4v (960x540) [55.3 MB] || IMERG_Final_Cut_v2_1280x720.wmv (1280x720) [67.0 MB] || IMERG_Final_Cut_v2_appletv.m4v (960x540) [55.3 MB] || IMERG_Final_Cut_v2_youtube_hq.mov (1920x1080) [585.8 MB] || IMERG_Final_Cut_v2_720x480.wmv (720x480) [67.1 MB] || 11784_IMERG.pt_BR.vtt [2.9 KB] || 11784_IMERG.pt_BR.srt [3.1 KB] || IMERG_Final_Cut_v2_nasaportal.mov (640x360) [55.6 MB] || GPMIMERG.en_US.srt [2.4 KB] || IMERG_Final_Cut_v2_ipod_lg.m4v (640x360) [21.9 MB] || IMERG_Final_Cut_v2_720x480.webm (720x480) [14.8 MB] || GPMIMERG.en_US.vtt [2.4 KB] || IMERG_Final_Cut_v2-H264_Best_1920x1080_2997.mov (1920x1080) [1.6 GB] || IMERG_Final_Cut_v2_prores.mov (1920x1080) [2.0 GB] || IMERG_Final_Cut_v2_ipod_sm.mp4 (320x240) [11.9 MB] || ", "hits": 19 }, { "id": 4276, "url": "https://svs.gsfc.nasa.gov/4276/", "result_type": "Visualization", "release_date": "2015-02-26T00:00:00-05:00", "title": "GPM Sees Baltimore/Washington Corridor Snow Storm (Feb. 21, 2015)", "description": "Animation showing a snow storm over the Baltimore/Washington area on Saturday, Feb. 21st, 2015 at 10:05 am. The heavy snow event left upwards of 9 inches of snow in some areas. || satsnow1080p.0350_print.jpg (1024x576) [135.8 KB] || satsnow1080p.0350_searchweb.png (320x180) [95.9 KB] || satsnow1080p.0350_thm.png (80x40) [6.9 KB] || satsnow1080p.webm (1920x1080) [4.3 MB] || satsnow1080p.mp4 (1920x1080) [20.4 MB] || 1920x1080_16x9_30p (1920x1080) [128.0 KB] || ", "hits": 32 }, { "id": 4278, "url": "https://svs.gsfc.nasa.gov/4278/", "result_type": "Visualization", "release_date": "2015-02-26T00:00:00-05:00", "title": "GPM Observes Snow Storm over Kentucky, West Virginia, and North Carolina (Feb. 17, 2015)", "description": "Animation depicting a snowstorm over Kentucky, West Virginia, Virginia, and North Carolina. A slicing plane reveals the inside of the storm, showing where the precipitation switches from rain (yellow, green, and red) to snow and ice (light blue and purple).This video is also available on our YouTube channel. || EcoastSnowstorm_1080p_30fps.0362_print.jpg (1024x576) [126.3 KB] || EcoastSnowstorm_1080p_30fps.0362_searchweb.png (320x180) [79.8 KB] || EcoastSnowstorm_1080p_30fps.0362_web.png (320x180) [79.8 KB] || EcoastSnowstorm_1080p_30fps.0362_thm.png (80x40) [6.1 KB] || 1920x1080_16x9_30p (1920x1080) [128.0 KB] || Feb17_2015_Snowstorm_720p_30fps.mp4 (1280x720) [9.2 MB] || Feb17_2015_Snowstorm_1080p_30fps.mp4 (1920x1080) [15.6 MB] || EcoastSnowstorm_colorbars_1080p_p30.mp4 (1920x1080) [31.8 MB] || EcoastSnowstorm_colorbars_1080p_p30.webm (1920x1080) [3.1 MB] || Feb17_2015_Snowstorm_360p_30fps.mp4 (640x360) [3.5 MB] || ", "hits": 30 }, { "id": 11635, "url": "https://svs.gsfc.nasa.gov/11635/", "result_type": "Produced Video", "release_date": "2014-09-04T00:00:00-04:00", "title": "GPM Looks Inside a Snow Storm", "description": "On March 17, 2014 the Global Precipitation Measurement (GPM) mission's Core Observatory flew over the East coast's last snow storm of the 2013-2014 winter season. This was also one of the first major snow storms observed by GPM shortly after it was launched on February 27, 2014.The GPM Core Observatory carries two instruments that show the location and intensity of rain and snow, which defines a crucial part of the storm structure – and how it will behave. The GPM Microwave Imager sees through the tops of clouds to observe how much and where precipitation occurs, and the Dual-frequency Precipitation Radar observes precise details of precipitation in 3-dimensions.For forecasters, GPM's microwave and radar data are part of the toolbox of satellite data, including other low Earth orbit and geostationary satellites, that they use to monitor tropical cyclones and hurricanes. || ", "hits": 31 }, { "id": 11492, "url": "https://svs.gsfc.nasa.gov/11492/", "result_type": "Produced Video", "release_date": "2014-02-23T10:00:00-05:00", "title": "GPM Weather Report Package", "description": "Data from the GPM Core Observatory will enable the first ever \"CAT scans\" from space of blizzards in the mid-latitudes where populations rely on snowpack for water resources and cities can be crippled by extreme snow storms. Just like a doctor uses CAT scans and X-Rays to diagnose what is happening in the human body, scientists use GPM's measurements to diagnose the internal structures of precipitation. By providing more accurate and frequent observations of rain and snow, GPM enables weather prediction centers to improve their forecasts.For more information about GPM, visit www.nasa.gov/gpm. || ", "hits": 25 }, { "id": 3885, "url": "https://svs.gsfc.nasa.gov/3885/", "result_type": "Visualization", "release_date": "2013-11-29T00:00:00-05:00", "title": "Components of the Cryosphere", "description": "This high resolution image, designed for the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, shows the extent of the regions affected by components of the cryosphere around the world. Over land, continuous permafrost is shown in a dark pink while discontinuous permafrost is shown in a lighter shade of pink. Over much of the northern hemisphere's land area, a semi-transparent white veil depicts the regions that are affected by snowfall at least one day during the perion 2000-2012. The bright green line along the southern border of this region shows the maximum snow extent while a black line across the North America, Europe and Asia shows the 50% snow extent line. Glaciers are shown as small golden dots in mountainous areas and in the far northern and southern latitudes. Over the water, ice shelves are shown around Antarctica along with sea ice surrounding the ice shelves. Sea ice is also shown at the North Pole, where the 30 year average sea ice extent is shown by a yellow outline. In addition, the ice sheets of Greenland and Antarctica are clearly visible. || ", "hits": 55 }, { "id": 11427, "url": "https://svs.gsfc.nasa.gov/11427/", "result_type": "Produced Video", "release_date": "2013-11-26T14:00:00-05:00", "title": "GPM: Journey to Launch", "description": "An international satellite that will set a new standard for global precipitation measurements from space has completed a 7,300-mile journey from the United States to Japan, where it now will undergo launch preparations.A U.S. Air Force C-5 transport aircraft carrying the Global Precipitation Measurement (GPM) Core Observatory landed at Kitakyushu Airport, about 600 miles southwest of Tokyo, at approximately 10:30 p.m. EST Saturday, Nov. 23.The spacecraft, the size of a small private jet, is the largest satellite ever built at NASA’s Goddard Space Flight Center in Greenbelt, Md. It left Goddard inside a large shipping container Nov. 19 and began its journey across the Pacific Ocean Nov. 21 from Joint Base Andrews in Maryland, with a refueling stop in Anchorage, Alaska.From Kitakyushu Airport, the spacecraft was loaded onto a barge heading to the Japan Aerospace Exploration Agency's (JAXA's) Tanegashima Space Center on Tanegashima Island in southern Japan, where it will be prepared for launch in early 2014 on an H-IIA rocket. || ", "hits": 23 }, { "id": 11221, "url": "https://svs.gsfc.nasa.gov/11221/", "result_type": "Produced Video", "release_date": "2013-04-12T00:00:00-04:00", "title": "GPM: Our Wet Wide World", "description": "The Global Precipitation Measurement (GPM) is an international satellite mission to provide next-generation observations of rain and snow worldwide every three hours. NASA and the Japan Aerospace Exploration Agency (JAXA) will launch a \"Core\" satellite carrying advanced instruments that will set a new standard for precipitation measurements from space. The data they provide will be used to unify precipitation measurements made by an international network of partner satellites to quantify when, where, and how much it rains or snows around the world.The GPM mission will help advance our understanding of Earth's water and energy cycles, improve the forecasting of extreme events that cause natural disasters, and extend current capabilities of using satellite precipitation information to directly benefit society. || ", "hits": 36 }, { "id": 11219, "url": "https://svs.gsfc.nasa.gov/11219/", "result_type": "Produced Video", "release_date": "2013-04-07T00:00:00-04:00", "title": "GPM: For Good Measure", "description": "The need for measuring the when and where and how much of precipitation goes beyond our weekend plans. We also need to know precipitaiton on a global scale. Rain gauges and radars are useful but are inconsistent and do not cover enough of the globe to provide accurate precipitation rates. The GPM constellation will cover the globe and give us a more comprehensive look at precipitation. || ", "hits": 25 }, { "id": 11067, "url": "https://svs.gsfc.nasa.gov/11067/", "result_type": "Produced Video", "release_date": "2012-07-03T00:00:00-04:00", "title": "GPM: What We Don't Know About Snow", "description": "GPM Deputy Project Scientist Gail Skofronick-Jackson discusses GPM's snowfall measurement capabilities and the challenges of measuring snow. || ", "hits": 22 }, { "id": 10989, "url": "https://svs.gsfc.nasa.gov/10989/", "result_type": "Produced Video", "release_date": "2012-05-15T00:00:00-04:00", "title": "GPM: The Fresh(water) Connection", "description": "The Global Precipitation Measurement (GPM) is an international satellite mission to provide next-generation observations of rain and snow worldwide every three hours. NASA and the Japan Aerospace Exploration Agency (JAXA) will launch a \"Core\" satellite carrying advanced instruments that will set a new standard for precipitation measurements from space. The data they provide will be used to unify precipitation measurements made by an international network of partner satellites to quantify when, where, and how much it rains or snows around the world. The GPM mission will help advance our understanding of Earth's water and energy cycles, improve the forecasting of extreme events that cause natural disasters, and extend current capabilities of using satellite precipitation information to directly benefit society. || ", "hits": 48 }, { "id": 3928, "url": "https://svs.gsfc.nasa.gov/3928/", "result_type": "Visualization", "release_date": "2012-04-07T00:00:00-04:00", "title": "North America Snow Cover 2009-2012", "description": "This entry features visualization material of daily snow cover over North America from July 1, 2009 - March 11, 2012 and still images of snow cover in the Western region of United States. || ", "hits": 51 }, { "id": 3934, "url": "https://svs.gsfc.nasa.gov/3934/", "result_type": "Visualization", "release_date": "2012-04-07T00:00:00-04:00", "title": "North America Snow Cover Maps", "description": "This entry contains Snow Cover Maps for Norh America with statelines, using the MODIS Cloud-gap-filled (CGF) Product at ~25-km resolution. The MODIS CGF product seeks to provide clear snow observations by filling cloudy areas on a given day with clear observations from previous days.The usual source for this product is the MOD10C1 MODIS/Terra Snow Cover Daily L3 Global 0.05Deg CMG, Version 5 and a variant has been coded that can use MOD10A1 MODIS/Aqua Snow Cover Daily L3 Global 500m Grid, Version 5 as source. Maps are provided for various dates for 2006, 2010, 2011 and 2012, to compare snow cover between years. || ", "hits": 249 }, { "id": 10938, "url": "https://svs.gsfc.nasa.gov/10938/", "result_type": "Produced Video", "release_date": "2012-03-17T00:00:00-04:00", "title": "NASA Wraps Up Cold Season Campaign for GPM", "description": "For six weeks in Ontario, Canada, scientists and engineers lead a field campaign to study the science and mechanics of falling snow. The datasets retrieved will be used to generate algorithms which translate what the GPM Core satellite \"sees\" into precipitation rates, including that of falling snow. Ground validation science manager Walt Petersen gives a summary of the GCPEx field campaign. Field campaigns are critical in improving satellite observations and precipitation measurements. || ", "hits": 21 }, { "id": 10912, "url": "https://svs.gsfc.nasa.gov/10912/", "result_type": "Produced Video", "release_date": "2012-02-02T00:00:00-05:00", "title": "Uncovering Winter's Mystery Recap", "description": "This is a recap of the satellite media tour \"NASA Uncovers Winter's Mystery,\" featuring Tom Wagner and Gail Skofronick-Jackson. || ", "hits": 14 }, { "id": 3907, "url": "https://svs.gsfc.nasa.gov/3907/", "result_type": "Visualization", "release_date": "2012-01-31T12:00:00-05:00", "title": "NASA's DC-8 Airborne Science Laboratory Flight Path Jan 19, 2012", "description": "NASA is flying an airborne science laboratory through Canadian snowstorms for six weeks in support of a difficult task of the upcoming Global Precipitation Measurement (GPM) mission: measuring snowfall from space. GPM is an international satellite mission scheduled for launch in 2014 that will provide next-generation observations of worldwide rain and snow every three hours. It is the first precipitation mission designed to detect falling snow from space. NASA's DC-8 flying laboratory flew this flight path on Jan 19, 2012 in support of NASA's Global Precipitation Measurement Cold-season Precipitation Experiment (GCPEx) snow study. The GCPEx field campaign will help scientists match measurements of snow in the air and on the ground. || ", "hits": 34 }, { "id": 3903, "url": "https://svs.gsfc.nasa.gov/3903/", "result_type": "Visualization", "release_date": "2012-01-31T00:00:00-05:00", "title": "Modeled Precipitation Difference Between 2010 Snowmageddon Event and Winter of 2000", "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.By subtracting the results of the 1999-2000 runs from the 2009-2010 a difference map can be generated showing the areas that received more precipitation and areas that received less precipitation. Areas that received more precipitation in 2009-2010 over 1999-2000 are depicted in shades of green. Areas that received less precipitation between these two winters are depicted in shades of brown. || ", "hits": 17 }, { "id": 10890, "url": "https://svs.gsfc.nasa.gov/10890/", "result_type": "Produced Video", "release_date": "2012-01-10T12:00:00-05:00", "title": "NASA Airborne Cold Weather Experiment Measures Falling Snow", "description": "NASA is flying an airborne science laboratory through Canadian snowstorms for six weeks in support of a difficult task of the upcoming Global Precipitation Measurement (GPM) mission: measuring snowfall from space. GPM is an international satellite mission scheduled for launch in 2014 that will provide next-generation observations of worldwide rain and snow every three hours. It is the first precipitation mission designed to detect falling snow from space. || ", "hits": 42 }, { "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. || ", "hits": 18 }, { "id": 3825, "url": "https://svs.gsfc.nasa.gov/3825/", "result_type": "Visualization", "release_date": "2011-03-28T22:00:00-04:00", "title": "Operation IceBridge 2011 Arctic Flight Paths and Change in Elevation Data over Greenland", "description": "With the aircraft resources of NASA's Airborne Sciences Program, Operation IceBridge is taking to the sky to ensure a sustained, critical watch over Earth's polar regions. Flight lines (black) are shown for the 2011 campaign over Arctic sea ice and Greenland's land ice. Many flights target outlet glaciers along the coast where NASA's Ice, Cloud and land Elevation Satellite (ICESat) shows significant thinning. Blue and purple colors, respectively, indicate moderate to large thinning. Gray and yellow, respectively, indicate slight to moderate thickening. Since its launch in January 2003, the ICESat elevation satellite has been measuring the change in thickness of ice sheets. This image of Greenland shows the changes in elevation over the Greenland ice sheet between 2003 and 2006. || ", "hits": 29 }, { "id": 3823, "url": "https://svs.gsfc.nasa.gov/3823/", "result_type": "Visualization", "release_date": "2011-03-21T00:00:00-04:00", "title": "Operation IceBridge 2010 Arctic Flight Paths and Change in Elevation Data over Greenland", "description": "With the aircraft resources of NASA's Airborne Sciences Program, Operation IceBridge is taking to the sky to ensure a sustained, critical watch over Earth's polar regions. Flight lines (black) are shown for the 2010 campaign over Arctic sea ice and Greenland's land ice. Many flights target outlet glaciers along the coast where NASA's Ice, Cloud and land Elevation Satellite (ICESat) shows significant thinning. Blue and purple colors, respectively, indicate moderate to large thinning. Gray and yellow, respectively, indicate slight to moderate thickening. Since its launch in January 2003, the ICESat elevation satellite has been measuring the change in thickness of ice sheets. This image of Greenland shows the changes in elevation over the Greenland ice sheet between 2003 and 2006. || ", "hits": 22 }, { "id": 3619, "url": "https://svs.gsfc.nasa.gov/3619/", "result_type": "Visualization", "release_date": "2009-09-01T18:00:00-04:00", "title": "A Tour of the Cryosphere 2009", "description": "The cryosphere consists of those parts of the Earth's surface where water is found in solid form, including areas of snow, sea ice, glaciers, permafrost, ice sheets, and icebergs. In these regions, surface temperatures remain below freezing for a portion of each year. Since ice and snow exist relatively close to their melting point, they frequently change from solid to liquid and back again due to fluctuations in surface temperature. Although direct measurements of the cryosphere can be difficult to obtain due to the remote locations of many of these areas, using satellite observations scientists monitor changes in the global and regional climate by observing how regions of the Earth's cryosphere shrink and expand.This animation portrays fluctuations in the cryosphere through observations collected from a variety of satellite-based sensors. The animation begins in Antarctica, showing some unique features of the Antarctic landscape found nowhere else on earth. Ice shelves, ice streams, glaciers, and the formation of massive icebergs can be seen clearly in the flyover of the Landsat Image Mosaic of Antarctica. A time series shows the movement of iceberg B15A, an iceberg 295 kilometers in length which broke off of the Ross Ice Shelf in 2000. Moving farther along the coastline, a time series of the Larsen ice shelf shows the collapse of over 3,200 square kilometers ice since January 2002. As we depart from the Antarctic, we see the seasonal change of sea ice and how it nearly doubles the apparent area of the continent during the winter.From Antarctica, the animation travels over South America showing glacier locations on this mostly tropical continent. We then move further north to observe daily changes in snow cover over the North American continent. The clouds show winter storms moving across the United States and Canada, leaving trails of snow cover behind. In a close-up view of the western US, we compare the difference in land cover between two years: 2003 when the region received a normal amount of snow and 2002 when little snow was accumulated. The difference in the surrounding vegetation due to the lack of spring melt water from the mountain snow pack is evident.As the animation moves from the western US to the Arctic region, the areas affected by permafrost are visible. As time marches forward from March to September, the daily snow and sea ice recede and reveal the vast areas of permafrost surrounding the Arctic Ocean.The animation shows a one-year cycle of Arctic sea ice followed by the mean September minimum sea ice for each year from 1979 through 2008. The superimposed graph of the area of Arctic sea ice at this minimum clearly shows the dramatic decrease in Artic sea ice over the last few years.While moving from the Arctic to Greenland, the animation shows the constant motion of the Arctic polar ice using daily measures of sea ice activity. Sea ice flows from the Arctic into Baffin Bay as the seasonal ice expands southward. As we draw close to the Greenland coast, the animation shows the recent changes in the Jakobshavn glacier. Although Jakobshavn receded only slightly from 1964 to 2001, the animation shows significant recession from 2001 through 2009. As the animation pulls out from Jakobshavn, the effect of the increased flow rate of Greenland costal glaciers is shown by the thinning ice shelf regions near the Greenland coast.This animation shows a wealth of data collected from satellite observations of the cryosphere and the impact that recent cryospheric changes are making on our planet.For more information on the data sets used in this visualization, visit NASA's EOS DAAC website.Note: This animation is an update of the animation 'A Short Tour of the Cryosphere', which is itself an abridged version of the animation 'A Tour of the Cryosphere'. The popularity of the earlier animations and their continuing relevance prompted us to update the datasets in parts of the animation and to remake it in high definition. In certain cases, our experiences in using the earlier work have led us to tweak the presentation of some of the material to make it clearer. Our thanks to Dr. Robert Bindschadler for suggesting and supporting this remake. || ", "hits": 50 }, { "id": 3511, "url": "https://svs.gsfc.nasa.gov/3511/", "result_type": "Visualization", "release_date": "2008-05-07T00:00:00-04:00", "title": "Global Permafrost Layers designed for Science On a Sphere (SOS) and WMS", "description": "Permafrost is permanently frozen ground that remains at or below 0°C for at least two years. The circumpolar permafrost and ground ice data depicts the distribution of permafrost and ground ice in the Northern Hemisphere and shows continuous, discontinuous, sporadic, and isolated permafrost boundaries. || ", "hits": 68 }, { "id": 3455, "url": "https://svs.gsfc.nasa.gov/3455/", "result_type": "Visualization", "release_date": "2007-09-17T00:00:00-04:00", "title": "Nadir View of Change in Elevation over Greenland with a Blue/Yellow Color Scale", "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. Gray areas indicate no change in elevation. The white regions indicate a slight thickening, while the blue and purple shades indicate a thinning of the ice sheet. || ", "hits": 32 }, { "id": 3373, "url": "https://svs.gsfc.nasa.gov/3373/", "result_type": "Visualization", "release_date": "2006-09-30T00:00:00-04:00", "title": "Zoom from Jakobshavn Glacier with AMSR-E Daily Sea Ice and MODIS Daily Snow Cover", "description": "Beginning from a view of Greenland's Jakobshavn glacier, this animation shows motion of sea ice and snow cover over the Arctic from 10/1/2002 through 6/23/2003 as the camera pulls out to frame the full globe. The false color of the sea ice is derived from the AMSR-E 6.25 km brightness temperature. The sea ice extent is defined by AMSR-E 12.5 km sea ice concentration, identifying all regions having a sea ice concentration of greater than 15%. Because AMSR-E is a passive microwave sensor that functions independently from atmospheric effects, this sensor is able to observe the entire polar region every day, even through clouds and snowfalls. || ", "hits": 17 }, { "id": 2925, "url": "https://svs.gsfc.nasa.gov/2925/", "result_type": "Visualization", "release_date": "2006-06-13T12:00:00-04:00", "title": "Daily Snow over North America 2002-2003 with Permafrost Map", "description": "This animation shows daily snow cover over North America from September 1, 2002 through June 30, 2003. A permafrost map shown in frost-green indicates where the ground is frozen throughout the year. The sea ice climatology indicates the average extent of the sea ice during each month. || ", "hits": 39 }, { "id": 3185, "url": "https://svs.gsfc.nasa.gov/3185/", "result_type": "Visualization", "release_date": "2005-07-01T00:00:00-04:00", "title": "Monthly Snow Climatology, 1979-2002 (WMS)", "description": "The extent of snow and ice that covers the earth's surface in the northern hemisphere grows and shrinks with the seasons. This animations shows the average snow and ice cover for a given month over a 24-year period, 1979 - 2002. It shows how often a particular point is covered with snow in a given month. The SVS Image Server gives each particular image in the animation the last date for which the data was used in creating that image, even though each of the images covers a span of years for a particular month. || ", "hits": 17 }, { "id": 2932, "url": "https://svs.gsfc.nasa.gov/2932/", "result_type": "Visualization", "release_date": "2004-12-31T12:00:00-05:00", "title": "Daily Snow over North America 2002-2003 without Permafrost Map", "description": "This animation shows daily snow cover over North America from September 1, 2002 through June 30, 2003. The sea ice climatology indicates the average extent of the sea ice during each month. || ", "hits": 51 }, { "id": 20022, "url": "https://svs.gsfc.nasa.gov/20022/", "result_type": "Animation", "release_date": "2004-02-05T12:00:00-05:00", "title": "Ice Albedo: Bright White Reflects Light", "description": "This animation provides a close perspective of the relationship between ice and solar reflectivity. As glaciers, the polar caps, and icebergs (shown here) melt, less sunlight gets reflected into space. Instead, the oceans and land absorb the light, thus raising the overall temperature and adding energy to a vicious circle. || ", "hits": 424 }, { "id": 2705, "url": "https://svs.gsfc.nasa.gov/2705/", "result_type": "Visualization", "release_date": "2003-02-26T12:00:00-05:00", "title": "Terra/Aqua Snow Sequence January/February 2003", "description": "This is a sequence of snow images from the Terra and Aqua Satellites in January and February 2003. || ", "hits": 15 }, { "id": 2702, "url": "https://svs.gsfc.nasa.gov/2702/", "result_type": "Visualization", "release_date": "2003-02-21T15:00:00-05:00", "title": "Snow Covers Northeastern United States on February 20, 2003", "description": "Snow cover left from a storm front that came through from February 16 to February 17, 2003. || ", "hits": 15 }, { "id": 2653, "url": "https://svs.gsfc.nasa.gov/2653/", "result_type": "Visualization", "release_date": "2002-12-06T12:00:00-05:00", "title": "Great Lakes Snow Effect 2002", "description": "Evaporation from the Great Lakes develops into clouds moving East, dropping snow as they go. || Pull-out from the Great Lakes. You can clearly see the clouds developing over the lakes and moving over the surrounding area. || a002653.00005_print.png (720x480) [621.4 KB] || a002653_pre.jpg (320x240) [17.7 KB] || a002653.webmhd.webm (960x540) [1.8 MB] || a002653.dv (720x480) [27.0 MB] || a002653.mpg (320x240) [854.6 KB] || ", "hits": 17 }, { "id": 2485, "url": "https://svs.gsfc.nasa.gov/2485/", "result_type": "Visualization", "release_date": "2002-07-04T12:00:00-04:00", "title": "MODIS Snow Cover over Asia", "description": "The Moderate Resolution Imaging Spectroradiometer (MODIS) provides data in 36 spectral bands, some of which are used in an algorithm to map global snow cover. The animation shows the dynamic behavior of the advance and retreat of continental snow cover over Asia for the winter of 2001-02 from MODIS-derived 8-day composite snow maps with a spatial resolution of about 5 km. || ", "hits": 109 }, { "id": 2486, "url": "https://svs.gsfc.nasa.gov/2486/", "result_type": "Visualization", "release_date": "2002-07-04T12:00:00-04:00", "title": "MODIS Snow Cover over Europe", "description": "The Moderate Resolution Imaging Spectroradiometer (MODIS) provides data in 36 spectral bands, some of which are used in an algorithm to map global snow cover. The animation shows the dynamic behavior of the advance and retreat of continental snow cover over Europe for the winter of 2001-02 from MODIS-derived 8-day composite snow maps with a spatial resolution of about 5 km. || ", "hits": 115 }, { "id": 2487, "url": "https://svs.gsfc.nasa.gov/2487/", "result_type": "Visualization", "release_date": "2002-07-04T12:00:00-04:00", "title": "MODIS Snow Cover over North America", "description": "The Moderate Resolution Imaging Spectroradiometer (MODIS) provides data in 36 spectral bands, some of which are used in an algorithm to map global snow cover. In this animation, a time series of global snow cover from MODIS-derived 8-day composite snow maps with a spatial resolution of about 5 km shows the dynamic behavior of the advance and retreat of continental snow cover over North America during the winter of 2001-02. || ", "hits": 217 }, { "id": 2488, "url": "https://svs.gsfc.nasa.gov/2488/", "result_type": "Visualization", "release_date": "2002-07-04T12:00:00-04:00", "title": "MODIS Snow Cover over the Sierra Nevada Mountains", "description": "The Moderate Resolution Imaging Spectroradiometer (MODIS) provides data in 36 spectral bands, some of which are used in an algorithm to map global snow cover. The animation shows a time series of MODIS snow-cover maps of the Sierra Nevada Mountains in California, derived from MODIS-derived daily snow maps with 500-m resolution for the winter and spring of 2001. || ", "hits": 15 }, { "id": 2484, "url": "https://svs.gsfc.nasa.gov/2484/", "result_type": "Visualization", "release_date": "2002-07-01T12:00:00-04:00", "title": "Global Snow Cover from MODIS", "description": "The Moderate Resolution Imaging Spectroradiometer (MODIS) provides data in 36 spectral bands, some of which are used in an algorithm to map global snow cover. The animation shows the dynamic behavior of the advance and retreat of continental snow cover in the Northern Hemisphere for the winter of 2001 - 2002 from MODIS-derived 8-day composite snow maps with a spatial resolution of about 5 km. A time series of MODIS snow-cover maps of the Sierra Nevada Mountains in California, derived from MODIS-derived daily snow maps with 500-m resolution, is also shown for the winter and spring of 2001. || ", "hits": 224 }, { "id": 2343, "url": "https://svs.gsfc.nasa.gov/2343/", "result_type": "Visualization", "release_date": "2002-01-04T12:00:00-05:00", "title": "Snow Covers the Southeastern United States - January 4, 2002", "description": "Activity all across the southeastern United States is disrupted by a heavy snowstorm. || Zoom-in to a view of snowfall covering the southeastern United States || a002343.00005_print.png (720x480) [651.8 KB] || snowfall_SEUS_pre.jpg (320x240) [15.3 KB] || a002343.webmhd.webm (960x540) [1.7 MB] || a002343.dv (720x480) [24.0 MB] || snowfall_SEUS.mpg (320x240) [719.1 KB] || ", "hits": 12 }, { "id": 2324, "url": "https://svs.gsfc.nasa.gov/2324/", "result_type": "Visualization", "release_date": "2001-12-11T12:00:00-05:00", "title": "MOLA: Seasonal Snow Variations on Mars: Polar Images", "description": "Print resolution still images in support of the MOLA: Seasonal Snow Variation story || The north pole of Mars shown colored by elevation || marsNPoleFalseCol.jpg (2730x2048) [791.2 KB] || marsNPoleFalseCola_web.png (320x240) [83.6 KB] || marsNPoleFalseCola_thm.png (80x40) [5.0 KB] || marsNPoleFalseCola_searchweb.png (320x180) [62.0 KB] || marsNPoleFalseCol.tif (2730x2048) [6.1 MB] || marsNPoleFalseCol.tif.hwshow [189 bytes] || ", "hits": 34 }, { "id": 2292, "url": "https://svs.gsfc.nasa.gov/2292/", "result_type": "Visualization", "release_date": "2001-12-06T12:00:00-05:00", "title": "MOLA: Seasonal Snow Variations on Mars, Zoom to Martian North Pole: True Color", "description": "This is a visualization of the topography near the Martian north pole as measured with the MOLA instrument. This particular animation shows a short zoom to an overhead view of the rotating north pole in true color. || ", "hits": 16 }, { "id": 2293, "url": "https://svs.gsfc.nasa.gov/2293/", "result_type": "Visualization", "release_date": "2001-12-06T12:00:00-05:00", "title": "MOLA: Seasonal Snow Variations on Mars: Fast Zoom to Martian North Pole: False Color", "description": "This is a visualization of the topography near the Martian north pole as measured with the MOLA instrument. This particular animation shows a fast zoom to the surface of the pole. The surface color is based on the elevation of the topography. || ", "hits": 13 }, { "id": 2294, "url": "https://svs.gsfc.nasa.gov/2294/", "result_type": "Visualization", "release_date": "2001-12-06T12:00:00-05:00", "title": "MOLA: Seasonal Snow Variations on Mars, Fast Zoom out from Martian South Pole: False Color", "description": "This is a visualization of the topography near the Martian south pole as measured with the MOLA instrument. This particular animation shows a fast zoom out from the surface of the pole. The surface color is based on the elevation of the topography. || ", "hits": 7 }, { "id": 2295, "url": "https://svs.gsfc.nasa.gov/2295/", "result_type": "Visualization", "release_date": "2001-12-06T12:00:00-05:00", "title": "MOLA: Seasonal Snow Variations on Mars: Medium Zoom to Martian North Pole: False Color", "description": "This is a visualization of the topography near the Martian north pole as measured with the MOLA instrument. This particular animation shows a medium speed zoom to the surface of the pole. The surface color is based on the elevation of the topography. || ", "hits": 8 }, { "id": 2296, "url": "https://svs.gsfc.nasa.gov/2296/", "result_type": "Visualization", "release_date": "2001-12-06T12:00:00-05:00", "title": "MOLA: Seasonal Snow Variations on Mars, Medium Zoom out from Martian South Pole: False Color", "description": "This is a visualization of the topography near the Martian south pole as measured with the MOLA instrument. This particular animation shows a medium zoom out from the surface of the pole. The surface color is based on the elevation of the topography. || ", "hits": 9 }, { "id": 2297, "url": "https://svs.gsfc.nasa.gov/2297/", "result_type": "Visualization", "release_date": "2001-12-06T12:00:00-05:00", "title": "MOLA: Seasonal Snow Variations on Mars: Slow Flyover of the Martian North Pole: False Color", "description": "This is a visualization of the topography near the Martian north pole as measured with the MOLA instrument. This particular animation shows a slow zoom to the surface of the pole, a flyover of the polar cap and a slow zoom out. The surface color is based on the elevation of the topography. || ", "hits": 5 }, { "id": 2298, "url": "https://svs.gsfc.nasa.gov/2298/", "result_type": "Visualization", "release_date": "2001-12-06T12:00:00-05:00", "title": "MOLA: Seasonal Snow Variations on Mars: Slow Zoom out from the Martian North Pole: True Color", "description": "This is a true color visualization of the topography near the Martian north pole as measured with the MOLA instrument. This particular animation shows a slow zoom out from the surface of the pole and is a frame-accurate match to the end of animation id #2297. || ", "hits": 7 }, { "id": 2299, "url": "https://svs.gsfc.nasa.gov/2299/", "result_type": "Visualization", "release_date": "2001-12-06T12:00:00-05:00", "title": "MOLA: Seasonal Snow Variations on Mars: Slow Flyover of the Martian South Pole: False Color", "description": "This is a visualization of the topography near the Martian south pole as measured with the MOLA instrument. This particular animation shows a slow zoom to the surface of the pole, a flyover of the polar cap and a slow zoom out. The surface color is based on the elevation of the topography. || ", "hits": 4 }, { "id": 2300, "url": "https://svs.gsfc.nasa.gov/2300/", "result_type": "Visualization", "release_date": "2001-12-06T12:00:00-05:00", "title": "MOLA: Seasonal Snow Variations on Mars: Slow Zoom to the Martian South Pole: True Color", "description": "This is a true color visualization of the topography near the Martian south pole as measured with the MOLA instrument. This particular animation shows a slow zoom to the surface of the pole and is a frame-accurate match to the beginning ofanimation id #2299. || ", "hits": 4 }, { "id": 2301, "url": "https://svs.gsfc.nasa.gov/2301/", "result_type": "Visualization", "release_date": "2001-12-06T12:00:00-05:00", "title": "MOLA: Seasonal Snow Variations on Mars: Slow Zoom to the Martian North Pole: True Color", "description": "This is a true color visualization of the topography near the Martian north pole as measured with the MOLA instrument. This particular animation shows a slow zoom to the surface of the pole and is a frame-accurate match to the beginning of animation id #2297. || ", "hits": 9 }, { "id": 2302, "url": "https://svs.gsfc.nasa.gov/2302/", "result_type": "Visualization", "release_date": "2001-12-06T12:00:00-05:00", "title": "MOLA: Seasonal Snow Variations on Mars: Slow Zoom Out from the Martian North Pole: True Color", "description": "This is a true color visualization of the topography near the Martian north pole as measured with the MOLA instrument. This particular animation shows a slow zoom out from the surface of the pole and is a frame-accurate match to the end of animation id #2297. || ", "hits": 14 }, { "id": 2303, "url": "https://svs.gsfc.nasa.gov/2303/", "result_type": "Visualization", "release_date": "2001-12-06T12:00:00-05:00", "title": "MOLA: Seasonal Snow Variations on Mars: Flyover and Slow Zoom out from Martian S. Pole: True Color", "description": "This is a true color visualization of the topography near the Martian south pole as measured with the MOLA instrument. This particular animation shows a flyover and slow zoom out from the surface of the pole and is a frame-accurate match to the end of animation id #2299. || ", "hits": 10 }, { "id": 2306, "url": "https://svs.gsfc.nasa.gov/2306/", "result_type": "Visualization", "release_date": "2001-12-06T12:00:00-05:00", "title": "MOLA: Seasonal Snow Variations on Mars, Graph Showing Snow Variations at Both Poles, With Dates", "description": "This is a visualization of a series of graphs showing the seasonal changes in the Martian polar caps. This particular version includes both poles and the Martian year timestamp. || Seasonal Mars snow variations graph (with dates) showing both poles || a002306.00100_print.png (720x480) [269.8 KB] || mola_graph_pre.jpg (320x240) [6.5 KB] || a002306.webmhd.webm (960x540) [2.8 MB] || a002306.dv (720x480) [142.8 MB] || a002306.mp4 (640x480) [8.1 MB] || mola_graph.mpg (320x240) [220.3 KB] || ", "hits": 23 }, { "id": 2307, "url": "https://svs.gsfc.nasa.gov/2307/", "result_type": "Visualization", "release_date": "2001-12-06T12:00:00-05:00", "title": "MOLA: Seasonal Snow Variations on Mars, graph showing snow variations at both poles, without dates", "description": "This is a visualization of a series of graphs showing the seasonal changes in the Martian polar caps. This particular version includes both poles and no Martian year timestamp. || ", "hits": 12 }, { "id": 2308, "url": "https://svs.gsfc.nasa.gov/2308/", "result_type": "Visualization", "release_date": "2001-12-06T12:00:00-05:00", "title": "MOLA: Seasonal Snow Variations on Mars, graph showing snow variations at north pole, with dates", "description": "This is a visualization of a series of graphs showing the seasonal changes in the Martian polar caps. This particular version includes just the north pole and the Martian year timestamp. || ", "hits": 13 }, { "id": 2309, "url": "https://svs.gsfc.nasa.gov/2309/", "result_type": "Visualization", "release_date": "2001-12-06T12:00:00-05:00", "title": "MOLA: Seasonal Snow Variations on Mars, graph showing snow variations at north pole, without dates", "description": "This is a visualization of a series of graphs showing the seasonal changes in the Martian polar caps. This particular version includes just the north pole without the Martian year timestamp. || ", "hits": 6 }, { "id": 2310, "url": "https://svs.gsfc.nasa.gov/2310/", "result_type": "Visualization", "release_date": "2001-12-06T12:00:00-05:00", "title": "MOLA: Seasonal Snow Variations on Mars, clouds at both poles, with dates, without contours", "description": "This is a visualization of the clouds near the Marian polar caps measured using the MOLA instrument. This particular animation shows both poles, with dates, and without contours. || ", "hits": 6 }, { "id": 2311, "url": "https://svs.gsfc.nasa.gov/2311/", "result_type": "Visualization", "release_date": "2001-12-06T12:00:00-05:00", "title": "MOLA: Seasonal Snow Variations on Mars, clouds at both poles, with dates, with contours", "description": "This is a visualization of the clouds near the Marian polar caps measured using the MOLA instrument. This particular animation shows both poles, with dates, and with contours. || ", "hits": 18 }, { "id": 2312, "url": "https://svs.gsfc.nasa.gov/2312/", "result_type": "Visualization", "release_date": "2001-12-06T12:00:00-05:00", "title": "MOLA: Seasonal Snow Variations on Mars, clouds at north pole, with dates, without contours", "description": "This is a visualization of the clouds near the Marian polar caps measured using the MOLA instrument. This particular animation shows just the north pole, with dates, and without contours. || ", "hits": 11 }, { "id": 2313, "url": "https://svs.gsfc.nasa.gov/2313/", "result_type": "Visualization", "release_date": "2001-12-06T12:00:00-05:00", "title": "MOLA: Seasonal Snow Variations on Mars, Clouds at North Pole, With Dates and Contours", "description": "This is a visualization of the clouds near the Marian polar caps measured using the MOLA instrument. This particular animation shows just the north pole, with dates, and with contours. || ", "hits": 10 }, { "id": 2118, "url": "https://svs.gsfc.nasa.gov/2118/", "result_type": "Visualization", "release_date": "2001-04-19T12:00:00-04:00", "title": "Looking at Minnesota in Winter", "description": "Minnesota isn't always covered in snow during winter. This is a dissolve between images of Minnesota in 2000 and 2001. || ", "hits": 20 }, { "id": 1106, "url": "https://svs.gsfc.nasa.gov/1106/", "result_type": "Visualization", "release_date": "2000-06-14T12:00:00-04:00", "title": "Midwest Snow Belt (March 13, 2000) Still #1", "description": "SeaWiFS true color image of a midwest snow belt taken on March 13, 2000 || a001106_still.jpg (720x528) [128.3 KB] || a001106_pre.jpg (320x238) [12.3 KB] || a001106_thm.png (80x40) [6.5 KB] || a001106_pre_searchweb.jpg (320x180) [79.4 KB] || Video slate image reads, \"Midwest Snow BeltStill #1\". || a001106_slate.jpg (720x528) [114.1 KB] || a001106_slate_web.png (320x234) [110.7 KB] || ", "hits": 10 }, { "id": 1107, "url": "https://svs.gsfc.nasa.gov/1107/", "result_type": "Visualization", "release_date": "2000-06-14T12:00:00-04:00", "title": "Midwest Snow Belt (March 13, 2000) Still #2", "description": "SeaWiFS true color image of a midwest snow belt taken on March 13, 2000 || a001107_still.jpg (720x528) [142.4 KB] || a001107_pre.jpg (320x238) [13.4 KB] || a001107_thm.png (80x40) [6.5 KB] || a001107_pre_searchweb.jpg (320x180) [84.4 KB] || Video slate image reads, \"Midwest Snow BeltStill #2\". || a001107_slate.jpg (720x528) [115.5 KB] || a001107_slate_web.png (320x234) [111.7 KB] || ", "hits": 13 }, { "id": 1108, "url": "https://svs.gsfc.nasa.gov/1108/", "result_type": "Visualization", "release_date": "2000-06-14T12:00:00-04:00", "title": "Midwest Snow Belt (March 13, 2000) Still #3", "description": "SeaWiFS true color image of a midwest snow belt taken on March 13, 2000 || a001108_still.jpg (720x528) [116.9 KB] || a001108_pre.jpg (320x238) [10.3 KB] || a001108_thm.png (80x40) [5.7 KB] || a001108_pre_searchweb.jpg (320x180) [65.3 KB] || Video slate image reads, \"Midwest Snow BeltStill #3\". || a001108_slate.jpg (720x528) [114.8 KB] || a001108_slate_web.png (320x234) [111.2 KB] || ", "hits": 13 }, { "id": 1109, "url": "https://svs.gsfc.nasa.gov/1109/", "result_type": "Visualization", "release_date": "2000-06-14T12:00:00-04:00", "title": "Midwest Snow Belt Flyover: March 13, 2000", "description": "SeaWiFS true color image of a midwest snow belt taken on March 13, 2000 || a001109.00005_print.png (720x480) [610.8 KB] || a001109_thm.png (80x40) [6.8 KB] || a001109_pre.jpg (320x242) [14.1 KB] || a001109_pre_searchweb.jpg (320x180) [83.2 KB] || a001109.webmhd.webm (960x540) [8.0 MB] || a001109.dv (720x480) [111.4 MB] || a001109.mp4 (640x480) [5.8 MB] || a001109.mpg (352x240) [3.9 MB] || ", "hits": 8 } ] }