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"url": "https://svs.gsfc.nasa.gov/5479/",
"result_type": "Visualization",
"release_date": "2025-05-30T00:00:00-04:00",
"title": "Ocean Currents in equirectangular projection",
"description": "Ocean flows beauty version. The flows are colored by temperature data from 600 meters and deeper. Flows above 600 meters deep are white. || These are ocean currents based on ECCO-2 data. This is supplementary material that is related to the new Perpetual Ocean 2 tour. These versions were created specifically for Science on a Sphere, but can be used for other purposes as well. || Ocean flows colored by salinity data || Ocean flows colored by temperature data || Beauty color bar ||",
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"url": "https://svs.gsfc.nasa.gov/5529/",
"result_type": "Visualization",
"release_date": "2025-04-25T12:00:59-04:00",
"title": "Perpetual Ocean 2: Polar Views",
"description": "This page contains north and south polars views of ECCO2 based ocean currents.",
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{
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"url": "https://svs.gsfc.nasa.gov/5425/",
"result_type": "Visualization",
"release_date": "2025-02-27T09:45:00-05:00",
"title": "Perpetual Ocean 2: Western Boundary Currents",
"description": "This is the 'beauty shot version' of Perpetual Ocean 2: Western Boundary Currents. The visualization starts with a rotating globe showing ocean currents. The camera then zooms into the Kuroshio current, moves over the Indian Ocean to the Agulhas Current, then over to the Gulf Stream. The flows from the surface down to 600 meters deep are all white. Flows below 600 meters depth use the blue-cyan-white color table below.",
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{
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"url": "https://svs.gsfc.nasa.gov/5474/",
"result_type": "Visualization",
"release_date": "2025-01-20T00:00:00-05:00",
"title": "Science On a Sphere: 4 Years of Biosphere",
"description": "Biosphere data processed for display on Science On a Sphere (SOS)",
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{
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"url": "https://svs.gsfc.nasa.gov/5131/",
"result_type": "Visualization",
"release_date": "2024-12-09T10:00:00-05:00",
"title": "Hurricane Ian's Clouds, Lightning, Humidity and Winds",
"description": "This visualization begins with an image sequence of cloud and lightning images of Hurricane Ian created by Cooperative Institute for Research in the Atmosphere (CIRA) and NOAA. The image sequence fades to show the volume of humidity (shown in blue) along with the wind flows near the surface. As the camera pulls back we see the humidity in a 9 degree by 9 degree region off the western coast of Florida. A box containing this region gradually grows in altitude showing the fast wind circulation above the humidity volume up to an altitude of 17 km. || Hurricane_Ian_comp_v03_4k.1728_print.jpg (1024x576) [192.5 KB] || Hurricane_Ian_comp_v03_4k.1728_searchweb.png (320x180) [67.7 KB] || Hurricane_Ian_comp_v03_4k.1728_thm.png (80x40) [5.3 KB] || Hurricane_Ian_comp_v03_30p_1080p30.mp4 (1920x1080) [98.3 MB] || Hurricane_Ian_comp_v03_4k_1080p60.mp4 (1920x1080) [106.1 MB] || Hurricane_Ian_comp (3840x2160) [0 Item(s)] || Hurricane_Ian_comp (3840x2160) [0 Item(s)] || Hurricane_Ian_comp_v03_4k_2160p60.mp4 (3840x2160) [338.6 MB] || Hurricane_Ian_comp_v03_4k_30p_2160p30.mp4 (3840x2160) [310.0 MB] || Hurricane_Ian_comp_v03_4k_30p_2160p30.mp4.hwshow || ",
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{
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"url": "https://svs.gsfc.nasa.gov/5217/",
"result_type": "Visualization",
"release_date": "2024-12-09T10:00:00-05:00",
"title": "Northern California Fires in September 2020",
"description": "This visualization shows the lightning over California on August 16 and 17, 2020 that caused 38 separate fires to ignite. These eventually combined into the August Complex fire, the first recorded gigafire in California history, which burned until November 12 consuming 1,614 square miles (4,180 square kilometers). As the lightning fades, a series of images shows the smoke emanating from the fires on September 8 of that year. The visible smoke is followed by a series showing the Aerosol Optical Depth (a unitless quantitative metric of how much smoke is present in the atmosphere) as the smoke particles were transported across the Western US and Canada over a 10 day period. || geoxo_fires_v049_2024-02-21_0939.04321_print.jpg (1024x576) [185.9 KB] || geoxo_fires_v049_2024-02-21_0939.04321_searchweb.png (320x180) [78.6 KB] || geoxo_fires_v049_2024-02-21_0939.04321_thm.png (80x40) [5.6 KB] || geoxo_fires_v049_2024-02-21_0939_p30_1080p30.mp4 (1920x1080) [101.5 MB] || geoxo_fires_v049_2024-02-21_0939_1080p60.mp4 (1920x1080) [110.3 MB] || composite (3840x2160) [0 Item(s)] || composite (3840x2160) [0 Item(s)] || geoxo_fires_v049_2024-02-21_0939_2160p60.mp4 (3840x2160) [333.3 MB] || geoxo_fires_v049_2024-02-21_0939_p30_2160p30.mp4 (3840x2160) [322.9 MB] || geoxo_fires_v049_2024-02-21_0939_p30_2160p30.mp4.hwshow || ",
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"url": "https://svs.gsfc.nasa.gov/5394/",
"result_type": "Visualization",
"release_date": "2024-11-27T00:00:00-05:00",
"title": "How much does the Gulf of Mexico Contribute to the Gulf Stream?",
"description": "Animation 1: Lagrangian particles colored by temperature viewed from above with fixed camera. || GM_experiment22_2024-11-01_1336_final_flatT.01638_print.jpg (1024x576) [232.7 KB] || GM_experiment22_2024-11-01_1336_final_flatT.01638_searchweb.png (320x180) [103.9 KB] || GM_experiment22_2024-11-01_1336_final_flatT.01638_thm.png (80x40) [6.5 KB] || GM_experiment_flatT_1080p30.mp4 (1920x1080) [58.9 MB] || flatT [0 Item(s)] || GM_experiment22_final_flatT.mp4 (3840x2160) [196.8 MB] || GM_experiment22_final_flatT.mp4.hwshow [193 bytes] || ",
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"url": "https://svs.gsfc.nasa.gov/5300/",
"result_type": "Visualization",
"release_date": "2024-09-30T00:00:00-04:00",
"title": "Winds over the Sargasso Sea: December 2009 - March 2010",
"description": "This visualization of MERRA-2 surface winds over the Atlantic Ocean and Sargasso Sea shows some unusually strong westerly winds during the winter of 2009-2010. Here the slower winds are shown in blue while the faster winds are shown in shades of red. The blue oval shows the nominal area of the Sargasso Sea while the yellow rectangle marks the 20–40°N, 80–10°W geographic box. || sargassum_v24_winds_2024-05-29_1627.03090_print.jpg (1024x576) [365.2 KB] || sargassum_v24_winds_2024-05-29_1627.03090_searchweb.png (320x180) [130.0 KB] || sargassum_v24_winds_2024-05-29_1627.03090_thm.png (80x40) [7.8 KB] || sargassum_v24_winds_2024-05-29_1627_p30_1080p30.mp4 (1920x1080) [297.3 MB] || composite [0 Item(s)] || composite [0 Item(s)] || sargassum_v24_winds_2024-05-29_1627_p30_2160p30.mp4 (3840x2160) [682.8 MB] || sargassum_v24_winds_2024-05-29_1627_2160p60.mp4 (3840x2160) [770.7 MB] || ",
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"url": "https://svs.gsfc.nasa.gov/5505/",
"result_type": "Visualization",
"release_date": "2024-03-25T12:18:00-04:00",
"title": "Perpetual Ocean 2: Equirectangular",
"description": "This page contains equirectangular versions of Perpetual Ocean 2's 'beauty version'.",
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"url": "https://svs.gsfc.nasa.gov/5158/",
"result_type": "Visualization",
"release_date": "2023-09-11T15:00:00-04:00",
"title": "Hurriances Idalia and Franklin Wind Flows",
"description": "Particles released in the wind field mark the trajectory and evolution of Hurricanes Idalia and Franklin. The particles are color coded based on the magnitude of the wind velocity vectors from blue to red indicating low to high wind speeds. || hurricane_idalia_winds.4k_p60.02200_print.jpg (1024x576) [365.2 KB] || hurricane_idalia_winds.4k_p60.02200_searchweb.png (320x180) [117.4 KB] || hurricane_idalia_winds.4k_p60.02200_thm.png (80x40) [6.6 KB] || 1920x1080_16x9_60p (1920x1080) [256.0 KB] || 3840x2160_16x9_60p (3840x2160) [256.0 KB] || hurricane_idalia_winds_1920x1080_p60.mp4 (1920x1080) [355.1 MB] || hurricane_idalia_winds.4k_p60.mp4 (3840x2160) [1.4 GB] || ",
"hits": 37
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{
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"url": "https://svs.gsfc.nasa.gov/5088/",
"result_type": "Visualization",
"release_date": "2023-06-12T00:00:00-04:00",
"title": "Tracking the Spread of the Caldor and Dixie Fires",
"description": "This visualization shows the spread of the Caldor and the Dixie fires in California during the summer of 2021, updated every 12 hours from a new fire detection and tracking approach based on near-real time active fire detections from the VIIRS sensor on the Suomi-NPP satellite.Complete transcript available. || Tracking_the_Caldor_and_Dixie_Fires.03615_print.jpg (1024x576) [296.7 KB] || Tracking_the_Caldor_and_Dixie_Fires.03615_searchweb.png (320x180) [133.9 KB] || Tracking_the_Caldor_and_Dixie_Fires.03615_thm.png (80x40) [7.8 KB] || Tracking_the_Caldor_and_Dixie_Fires.mp4 (1920x1080) [336.4 MB] || Tracking_the_Caldor_and_Dixie_Fires.mp4.en_US.srt [3.9 KB] || Tracking_the_Caldor_and_Dixie_Fires.mp4.en_US.vtt [3.7 KB] || Tracking_the_Caldor_and_Dixie_Fires.mp4.hwshow || ",
"hits": 138
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{
"id": 5075,
"url": "https://svs.gsfc.nasa.gov/5075/",
"result_type": "Visualization",
"release_date": "2023-02-13T00:00:00-05:00",
"title": "Near Real-Time Global Biosphere",
"description": "The latest 2.5 years of Biosphere data with date annotations. || nrtbio_print.jpg (1024x512) [205.4 KB] || nrtbio_searchweb.png (320x160) [88.7 KB] || nrtbio_thm.png (80x40) [7.2 KB] || Plate_Carree_with_Dates (4096x2048) [0 Item(s)] || nrtbio_annot_plate_2048p30.mp4 (4096x2048) [113.2 MB] || slide-01.hwshow ||",
"hits": 0
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{
"id": 5006,
"url": "https://svs.gsfc.nasa.gov/5006/",
"result_type": "Visualization",
"release_date": "2022-11-06T00:00:00-04:00",
"title": "Global Biosphere March 2017 - Feb 2022",
"description": "Example composite of 5 years of Mollweide projected data of Earth's biosphere beginning March 2017 through February 2022. || newbio_v34_mollweide_comp1130_print.jpg (1024x512) [186.1 KB] || newbio_v34_mollweide_comp1130_searchweb.png (180x320) [94.2 KB] || newbio_v34_mollweide_comp1130_thm.png (80x40) [7.4 KB] || Example_Composite (2000x1000) [0 Item(s)] || newbio_v34_mollweide_comp_1000p30.mp4 (2000x1000) [40.4 MB] || newbio_v34_mollweide_comp_1000p30.webm (2000x1000) [4.5 MB] || ",
"hits": 47
},
{
"id": 4992,
"url": "https://svs.gsfc.nasa.gov/4992/",
"result_type": "Visualization",
"release_date": "2022-06-01T09:00:00-04:00",
"title": "Spread of the Caldor Fire - 2021",
"description": "This visualization shows the spread of the Caldor fire between August 15 and October 6, 2021, updated every 12 hours based on new satellite active fire detections. The yellow outlines track the position of the active fire lines for the last 60 hours, with the latest location of the fire front in the brightest shade of yellow. The red points show the location of active fire detections, while the grey region shows the estimated total area burned. The graph shows the cumulative burned area in square kilometers.Coming soon to our YouTube channel. || Caldor_fire_2021.6540_print2.jpg (1024x576) [371.6 KB] || Caldor_fire_2021_p30_1080p30.mp4 (1920x1080) [107.8 MB] || Caldor_fire_2021_1080p60.mp4 (1920x1080) [123.2 MB] || 3840x2160_16x9_60p (3840x2160) [0 Item(s)] || captions_silent.32783.en_US.srt [43 bytes] || Caldor_fire_2021_p30_2160p30.mp4 (3840x2160) [356.4 MB] || Caldor_fire_2021_2160p60.mp4 (3840x2160) [383.8 MB] || firespread02.hwshow || Caldor_fire_2021_p30_1080p30.mp4.hwshow || ",
"hits": 156
},
{
"id": 4993,
"url": "https://svs.gsfc.nasa.gov/4993/",
"result_type": "Visualization",
"release_date": "2022-06-01T09:00:00-04:00",
"title": "Spread of the Dixie Fire - 2021",
"description": "This visualization shows the spread of the Dixie fire between July 14 and October 22, 2021, updated every 12 hours based on new satellite active fire detections. The yellow outlines track the position of the active fire lines for the last 60 hours, with the latest location of the fire front in the brightest shade of yellow. The red points show the location of active fire detections, while the grey region shows the estimated total area burned. The graph shows the cumulative burned area in square kilometers.Coming soon to our YouTube channel. || Dixie_fire_2021.7135_print.jpg (1024x576) [369.5 KB] || Dixie_fire_2021.7135_searchweb.png (320x180) [139.8 KB] || Dixie_fire_2021.7135_thm.png (80x40) [8.3 KB] || Dixie_fire_2021_p30_1080p30.mp4 (1920x1080) [172.9 MB] || Dixie_fire_2021_1080p60.mp4 (1920x1080) [190.8 MB] || 3840x2160_16x9_60p (3840x2160) [0 Item(s)] || captions_silent.32827.en_US.srt [43 bytes] || Dixie_fire_2021_p30_2160p30.mp4 (3840x2160) [477.6 MB] || Dixie_fire_2021_2160p60.mp4 (3840x2160) [513.8 MB] || Dixie_fire_2021_p30_1080p30.mp4.hwshow || Dixie_fire_animation_only_2021_1080p60.hwshow || ",
"hits": 251
},
{
"id": 31184,
"url": "https://svs.gsfc.nasa.gov/31184/",
"result_type": "Hyperwall Visual",
"release_date": "2022-05-30T11:30:00-04:00",
"title": "NASA’s New Scientific Breakdown of Dramatic Caldor and Dixie Fires",
"description": "Complete transcript available. || Caldor_fire_2021.6540_print2.jpg (1024x576) [371.6 KB] || Caldor_fire_2021.6540_print2_searchweb.png (320x180) [132.2 KB] || Caldor_fire_2021.6540_print2_thm.png [7.6 KB] || CCaldor_fire_finLmp4.mp4 (1920x1080) [516.8 MB] || Caldor_fire_3_final.mp4 (1920x1080) [517.1 MB] || Caldor_firefinalmp4_otter_ai.en_US.srt [4.5 KB] || Caldor_firefinalmp4_otter_ai.en_US.vtt [4.5 KB] || ",
"hits": 81
},
{
"id": 4982,
"url": "https://svs.gsfc.nasa.gov/4982/",
"result_type": "Visualization",
"release_date": "2022-04-21T09:00:00-04:00",
"title": "Complete 2021 Hurricane Season",
"description": "This special version of the 2021 Hurricane Season data visualization uses all the below layers to show the entire 2021 Hurricane Season, but elements of it were sped up in post production to accelerate the data when no hurricanes are present. This provides the viewer with a more compact experience that focuses exclusively on the hurricanes. || hurr2021_comp5speed_2160p30.04733_print.jpg (1024x576) [248.6 KB] || hurr2021_speedComp7_1080p30.mp4 (1920x1080) [437.0 MB] || Sample_Speed_Composite (3840x2160) [0 Item(s)] || hurr2021_speedComp7.webm (3840x2160) [91.3 MB] || hurr2021_speedComp7.mp4 (3840x2160) [197.5 MB] || ",
"hits": 79
},
{
"id": 4983,
"url": "https://svs.gsfc.nasa.gov/4983/",
"result_type": "Visualization",
"release_date": "2022-04-11T12:00:00-04:00",
"title": "Global Carbon Dioxide 2020-2021 for Hyperwalls",
"description": "This webpage provides a wide aspect ratio version of: Global Carbon Dioxide 2020-2021, released on November 2, 2021. This version has been created for wide aspect ratio display systems with resolution up to 9600x3240. It is recommended to use content from this version for display systems with 16:9 aspect ratio. || ",
"hits": 72
},
{
"id": 4960,
"url": "https://svs.gsfc.nasa.gov/4960/",
"result_type": "Visualization",
"release_date": "2022-01-25T14:00:00-05:00",
"title": "A 3D View of an Atmospheric River from an Earth System Model",
"description": "Narrated atmospheric rivers movie. || atmos_rivers_narrated_4k.00090_print.jpg (1024x576) [88.5 KB] || atmos_rivers_narrated_4k.00090_print_searchweb.png (320x180) [46.0 KB] || atmos_rivers_narrated_HD.webm (1920x1080) [68.6 MB] || atmos_rivers_narrated_HD.mp4 (1920x1080) [410.9 MB] || atmos_river_narrated_4k.en_US.srt [6.3 KB] || atmos_river_narrated_4k.en_US.vtt [6.3 KB] || atmos_rivers_4k.en_US.vtt [6.3 KB] || atmos_rivers_narrated_4k.mp4 (3840x2160) [646.9 MB] ||",
"hits": 158
},
{
"id": 31168,
"url": "https://svs.gsfc.nasa.gov/31168/",
"result_type": "Hyperwall Visual",
"release_date": "2021-12-13T00:00:00-05:00",
"title": "What NASA Knows from Decades of Earth System Observations",
"description": "Karen St. Germain, NASA's Director of Earth Science, gave this presentation to the 2021 United Nations Climate Change ConferenceWatch this video on the NASA Goddard YouTube channel. || KarenStGermain_4k_COP26_Presentation_Final_103850_print.jpg (1024x576) [143.2 KB] || KarenStGermain_4k_COP26_Presentation_Final_103850_searchweb.png (320x180) [87.7 KB] || KarenStGermain_4k_COP26_Presentation_Final_103850_thm.png (80x40) [6.7 KB] || KarenStGermain_HD_COP26_Presentation_Final.webm (1920x1080) [106.3 MB] || KarenStGermain_HD_COP26_Presentation_Final.mp4 (1920x1080) [1008.1 MB] || KarenStGFinal (3840x2160) [0 Item(s)] || transcript_StGermain.en_US.srt [13.6 KB] || transcript_StGermain.en_US.vtt [13.2 KB] || KarenStGermain_4k_COP26_Presentation_Final.mp4 (3840x2160) [7.6 GB] || ",
"hits": 54
},
{
"id": 4949,
"url": "https://svs.gsfc.nasa.gov/4949/",
"result_type": "Visualization",
"release_date": "2021-11-02T00:00:00-04:00",
"title": "Global Carbon Dioxide 2020-2021",
"description": "Data visualization featuring volumetric carbon dioxide on a global scale for the period June 1, 2020 - July 31, 2021.Coming soon to our YouTube channel. || CO2Volumetric_1024x576_02582_print.jpg (1024x576) [90.6 KB] || CO2Volumetric_1024x576_02582.png (1024x576) [569.1 KB] || CO2Volumetric_1024x576_02582_searchweb.png (180x320) [60.0 KB] || CO2Volumetric_1024x576_02582_thm.png (80x40) [5.1 KB] || CO2Volumetric_1920x1080p30.mp4 (1920x1080) [65.3 MB] || CO2Volumetric_1920x1080p30.webm (1920x1080) [13.3 MB] || 3840x2160_16x9_30p (3840x2160) [0 Item(s)] || CO2Volumetric_3840x2160_30fps_02582.exr (3840x2160) [63.3 MB] || CO2Volumetric_3840x2160_30fps_02582.tif (3840x2160) [44.5 MB] || captions_silent.31831.en_US.srt [43 bytes] || CO2Volumetric_3840x2160p30.mp4 (3840x2160) [931.2 MB] || ",
"hits": 114
},
{
"id": 4947,
"url": "https://svs.gsfc.nasa.gov/4947/",
"result_type": "Visualization",
"release_date": "2021-10-30T00:00:00-04:00",
"title": "2021 Hurricane Season through September",
"description": "This data visualization shows hurricane tracks over clouds over precipitation over sea surface temperatures from May 1 through September 30th, 2021. This presentation was created for the COP 26 Conference. || hurr2021_4k_comp.4991_print.jpg (1024x576) [337.4 KB] || hurr2021_4k_comp.4991_searchweb.png (320x180) [123.6 KB] || hurr2021_4k_comp.4991_thm.png (80x40) [17.6 KB] || hurr2021_comp_1080p30.webm (1920x1080) [29.0 MB] || hurr2021_comp_1080p30.mp4 (1920x1080) [489.6 MB] || composite (3840x2160) [0 Item(s)] || hurr2021_comp_2160p30.mp4 (3840x2160) [1.7 GB] || hurr2021_comp_1080p30.mp4.hwshow [187 bytes] || ",
"hits": 48
},
{
"id": 4950,
"url": "https://svs.gsfc.nasa.gov/4950/",
"result_type": "Visualization",
"release_date": "2021-10-29T10:00:00-04:00",
"title": "GEDI Forest Height",
"description": "This visualization depicts a global view of forest height data collected by the GEDI instrument aboard the International Space Station. Brown and dark green represent shorter vegetation. Bright green and white represent taller vegetation. This visualization uses data collected between April 2019 and April 2020. Height is exaggerated to depict variation at this scale.Coming soon to our YouTube channel. || GEDI_global_w_colorbar_0900_print.jpg (1024x576) [83.4 KB] || GEDI_global_w_colorbar_0900_searchweb.png (320x180) [42.8 KB] || GEDI_global_w_colorbar_0900_thm.png (80x40) [4.0 KB] || GEDI_global_w_colorbar_1080p60.mp4 (1920x1080) [17.7 MB] || GEDI_global_w_colorbar_1080p60.webm (1920x1080) [6.0 MB] || GEDI_global_w_colorbar (3840x2160) [0 Item(s)] || GEDI_global_w_colorbar_2160p30.mp4 (3840x2160) [61.5 MB] || GEDI_global_w_colorbar_2160p60.mp4 (3840x2160) [65.5 MB] || captions_silent.31845.en_US.srt [43 bytes] || ",
"hits": 330
},
{
"id": 4939,
"url": "https://svs.gsfc.nasa.gov/4939/",
"result_type": "Visualization",
"release_date": "2021-10-07T00:00:00-04:00",
"title": "3D Water Vapor shows an Atmospheric River",
"description": "This visualization shows the NOAA-20 satellite orbiting the Earth with a trail of 3D water vapor behind it collected between January 25 and 28, 2021. The calculated total precipitable water (TPW) is shown in a blue to red color scale beneath the white water vapor.Coming soon to our YouTube channel. || JPSS_ATMS_water_vapor_with_TPW.3462_print.jpg (1024x576) [179.6 KB] || JPSS_ATMS_water_vapor_with_TPW_1080p30.mp4 (1920x1080) [83.0 MB] || JPSS_ATMS_water_vapor_with_TPW_1080p60.mp4 (1920x1080) [84.5 MB] || JPSS_ATMS_water_vapor_with_TPW_1080p30.webm (1920x1080) [7.7 MB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || 1920x1080_16x9_60p (1920x1080) [0 Item(s)] || 3840x2160_16x9_30p (3840x2160) [0 Item(s)] || 3840x2160_16x9_60p (3840x2160) [0 Item(s)] || captions_silent.31606.en_US.srt [43 bytes] || JPSS_ATMS_water_vapor_with_TPW_30p_2160p30_2.mp4 (3840x2160) [409.8 MB] || JPSS_ATMS_water_vapor_with_TPW_60p_2160p60_2.mp4 (3840x2160) [441.6 MB] || JPSS_ATMS_water_vapor_with_TPW_1080p30.mp4.hwshow [204 bytes] || ",
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{
"id": 4885,
"url": "https://svs.gsfc.nasa.gov/4885/",
"result_type": "Visualization",
"release_date": "2021-08-24T00:00:00-04:00",
"title": "Antarctic Ocean Flows: an excerpt from Atlas of a Changing Earth (Dome Master format)",
"description": "This visualization shows how the ocean circulation in the Amundsen Sea, Antarctica flows around and under the floating ice shelves and glaciers. The ocean flows are colored by temperature with blue indicating colder and red showing warmer currents. This version is in Dome Master format. || Antarctic_flows_v209.1700_print.jpg (1024x1024) [133.8 KB] || Antarctic_flows_v209.1700_searchweb.png (180x320) [56.2 KB] || Antarctic_flows_v209.1700_thm.png (80x40) [4.3 KB] || Antarctic_flows_v209_2048p30.mp4 (2048x2048) [153.2 MB] || Antarctic_flows_v209_4096p30_h265_3.webm (4096x4096) [47.5 MB] || 4096x4096_1x1_30p (4096x4096) [0 Item(s)] || Antarctic_flows_v209_4096p30_h265_3.mp4 (4096x4096) [186.8 MB] || ",
"hits": 117
},
{
"id": 4888,
"url": "https://svs.gsfc.nasa.gov/4888/",
"result_type": "Visualization",
"release_date": "2021-08-24T00:00:00-04:00",
"title": "Antarctic Ocean Flows: an excerpt from Atlas of a Changing Earth (4k format)",
"description": "This visualization shows how the ocean circulation in the Amundsen Sea, Antarctica flows around and under the floating ice shelves and glaciers. The ocean flows are colored by temperature with blue indicating colder and red showing warmer currents. This version includes a title, credits, narration and music.This video is also available on our YouTube channel. || Antarctic_flows_2021_flat_HD_Audio.00310_print.jpg (1024x576) [81.9 KB] || Antarctic_flows_2021_flat_HD_Audio.webm (1920x1080) [16.4 MB] || Antarctic_flows_2021_flat_HD_Audio.mp4 (1920x1080) [286.8 MB] || Antarctic_flows_2021_flat_4k_Audio.en_US.srt [1.3 KB] || Antarctic_flows_2021_flat_4k_Audio.en_US.vtt [1.3 KB] || Antarctic_flows_2021_flat_4k_Audio.mp4 (3840x2160) [1.1 GB] || Antarctic_flows_2021_flat_HD_Audio.mp4.hwshow [200 bytes] || ",
"hits": 55
},
{
"id": 4920,
"url": "https://svs.gsfc.nasa.gov/4920/",
"result_type": "Visualization",
"release_date": "2021-08-04T17:00:00-04:00",
"title": "Earth System Observatory",
"description": "An animated graphic showing the areas of focus for NASA's Earth System Observatory. || EarthSystemObservatory_9.00001_print.jpg (1024x576) [158.4 KB] || EarthSystemObservatory_9.00001_searchweb.png (320x180) [72.0 KB] || EarthSystemObservatory_9.00001_web.png (320x180) [72.0 KB] || EarthSystemObservatory_9.00001_thm.png (80x40) [6.4 KB] || EarthSystemObservatory_9.mp4 (1920x1080) [44.9 MB] || EarthSystemObservatory_9.webm (1920x1080) [4.6 MB] || EarthSystemObservatory_4K_9.mp4 (3840x2160) [47.6 MB] || 3840x2160_16x9_30p (3840x2160) [0 Item(s)] || EarthSystemObservatory_9.mp4.hwshow [220 bytes] || earth-system-observatory-4k-movie.hwshow [329 bytes] || ",
"hits": 122
},
{
"id": 13877,
"url": "https://svs.gsfc.nasa.gov/13877/",
"result_type": "Produced Video",
"release_date": "2021-07-07T12:00:00-04:00",
"title": "New Lakes Discovered Under Antarctic Ice with NASA's ICESat-2",
"description": "Hundreds of meltwater lakes hide deep beneath the expanse of Antarctica’s ice sheet. With a powerful laser altimeter system in space, NASA’s Ice Cloud and land Elevation Satellite-2 (ICESat-2) is helping scientists \"see\" under the ice.For more on the story: https://www.nasa.gov/feature/goddard/2021/nasa-space-lasers-map-meltwater-lakes-in-antarctica-with-striking-precisionComplete transcript available. || Icesat2_Lakes_Final.00300_print.jpg (1024x576) [130.6 KB] || Icesat2_Lakes_Final.00300_searchweb.png (320x180) [88.9 KB] || Icesat2_Lakes_Final.00300_web.png (320x180) [88.9 KB] || Icesat2_Lakes_Final.00300_thm.png (80x40) [5.6 KB] || Icesat2_Lakes_Final.mp4 (1920x1080) [142.1 MB] || Icesat2_Lakes_Final.webm (1920x1080) [14.9 MB] || Icesat2_Lakes_Final.en_US.srt [2.5 KB] || Icesat2_Lakes_Final.en_US.vtt [2.5 KB] || ",
"hits": 160
},
{
"id": 4897,
"url": "https://svs.gsfc.nasa.gov/4897/",
"result_type": "Visualization",
"release_date": "2021-04-12T08:00:00-04:00",
"title": "Seasonal Global Precipitation Variation from the Global Precipitation Measurement Constellation",
"description": "An animation of the most recent variation in global precipitation data from IMERG.",
"hits": 0
},
{
"id": 4884,
"url": "https://svs.gsfc.nasa.gov/4884/",
"result_type": "Visualization",
"release_date": "2021-02-25T03:00:00-05:00",
"title": "2020 Hurricane Season",
"description": "Data visualization of the 2020 Hurricane Season. Starts on May 1, 2020 just showing Sea Surface Temperatures and cloud cover. Precipitation data then dissolves in as hurricanes are tracked throughout 2020. Hurricane tracks include Hurricane strengths depicted with the letter \"T\" for Tropical Storm and numbers for each storm's respective strength. The visualization then culminates by showing all the storm tracks at once.This video is also available on our YouTube channel. || hurr2020_4k_comp.7968_print.jpg (1024x576) [248.0 KB] || hurr2020_4k_comp.7968_searchweb.png (320x180) [93.7 KB] || hurr2020_4k_comp.7968_thm.png (80x40) [7.3 KB] || Example_Composite (1920x1080) [0 Item(s)] || hurr2020_comp_1080p30.mp4 (1920x1080) [637.6 MB] || Example_Composite (3840x2160) [0 Item(s)] || captions_silent.30824.en_US.srt [43 bytes] || hurr2020_4k_comp_2160p30.webm (3840x2160) [167.6 MB] || hurr2020_4k_comp_2160p30.mp4 (3840x2160) [1.6 GB] || hurr2020_comp_1080p30.mp4.hwshow [187 bytes] || ",
"hits": 66
},
{
"id": 13814,
"url": "https://svs.gsfc.nasa.gov/13814/",
"result_type": "Produced Video",
"release_date": "2021-02-18T00:00:00-05:00",
"title": "SVS Demo Reel 2020",
"description": "This is the SVS Demo Reel submitted to SIGGRAPH 2021.Coming soon to our YouTube channel. || SVS_2020.File.1080p.00250_print.jpg (1024x576) [129.8 KB] || SVS_2020.File.1080p.00250_thm.png (80x40) [3.1 KB] || SVS_2020.File.1080p.00250_searchweb.png (320x180) [60.0 KB] || SVS_2020.File.1080p.mp4 (1920x1080) [367.7 MB] || captions_silent.30842.en_US.srt [42 bytes] || SVS_2020.File.720p.mp4 (720x404) [62.6 MB] || SVS_2020.file.2160pp.mp4 (3840x2160) [1.4 GB] || SVS_2020.file.2160pp.webm (3840x2160) [78.3 MB] || ",
"hits": 38
},
{
"id": 4859,
"url": "https://svs.gsfc.nasa.gov/4859/",
"result_type": "Visualization",
"release_date": "2020-12-15T09:00:00-05:00",
"title": "TEMPEST-D / RaInCube Sees Typhoon Trami",
"description": "Typhoon Trami as seen through TEMPEST-D and RainCube on September 28, 2018. || tempestD_raincube_comp2.0600_print.jpg (1024x576) [148.7 KB] || tempestD_raincube_comp2.0600_searchweb.png (320x180) [76.5 KB] || tempestD_raincube_comp2.0600_thm.png (80x40) [6.1 KB] || tempestD_raincube_comp2_1080p30.mp4 (1920x1080) [23.7 MB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || tempestD_raincube_comp2_1080p30.webm (1920x1080) [5.3 MB] || ",
"hits": 44
},
{
"id": 4873,
"url": "https://svs.gsfc.nasa.gov/4873/",
"result_type": "Visualization",
"release_date": "2020-11-10T09:00:00-05:00",
"title": "Ocean Surface CO2 Flux with Surface Winds",
"description": "Ocean surface winds and CO2 flux. Blue areas are where CO2 is absorbed by the ocean and red areas are where CO2 is outgassed from the oceanComing soon to our YouTube channel. || co2flux_final_001.1000_print.jpg (1024x576) [55.2 KB] || co2flux_final_001.1000_searchweb.png (180x320) [47.6 KB] || co2flux_final_001.1000_thm.png (80x40) [4.3 KB] || co2flux_final_with_cbar_1080p30.webm (1920x1080) [14.3 MB] || 3840x2160_16x9_30p (3840x2160) [256.0 KB] || captions_silent.30528.en_US.srt [43 bytes] || co2flux_final_with_cbar_1080p30.mp4 (1920x1080) [185.4 MB] || co2flux_final_no_cbar_1080p30.mp4 (1920x1080) [203.6 MB] || co2flux_final_with_cbar2160p30.mp4 (3840x2160) [791.2 MB] || co2flux_final_no_cbar_2160p30.mp4 (3840x2160) [852.2 MB] || co2flux_final_with_cbar_1080p30.mp4.hwshow [234 bytes] || ",
"hits": 43
},
{
"id": 4871,
"url": "https://svs.gsfc.nasa.gov/4871/",
"result_type": "Visualization",
"release_date": "2020-11-05T15:00:00-05:00",
"title": "Ocean Flows under the Pine Island Glacier, Antarctica",
"description": "This visualization shows the ocean currents circulating around the Pine Island Bay and flowing under the Pine Island Glacier. || Antarctic_flows_2020_v137_sea_lvl_rise_p30.2600_print.jpg (1024x576) [85.7 KB] || Antarctic_flows_2020_v137_sea_lvl_rise_p30.2600_searchweb.png (320x180) [84.7 KB] || Antarctic_flows_2020_v137_sea_lvl_rise_p30.2600_thm.png (80x40) [5.5 KB] || SeaLevelRise_PineIsland_ECCO_flows_fast.mp4 (1920x1080) [47.1 MB] || SeaLevelRise_PineIsland_ECCO_flows_fast.webm (1920x1080) [6.3 MB] || Antarctic_flows_2020_v137_sea_lvl_rise_1080p60.mp4 (1920x1080) [66.2 MB] || 1920x1080_16x9_30p (1920x1080) [128.0 KB] || 1920x1080_16x9_60p (1920x1080) [128.0 KB] || SeaLevelRise_PineIsland_ECCO_flows_PRORES.mov (1920x1080) [1.4 GB] || SeaLevelRise_PineIsland_ECCO_flows_fast.mp4.hwshow [503 bytes] || ",
"hits": 43
},
{
"id": 4858,
"url": "https://svs.gsfc.nasa.gov/4858/",
"result_type": "Visualization",
"release_date": "2020-11-05T08:00:00-05:00",
"title": "Ocean Flow Vignettes",
"description": "Ocean flows off the East coast of the United StatesThis video is also available on our YouTube channel. || us_east_040.5000_print.jpg (1024x576) [198.7 KB] || us_east_040_1080p59.94.webm (1920x1080) [49.9 MB] || us_east_040_1080p59.94.mp4 (1920x1080) [259.5 MB] || us_east_coast (3840x2160) [0 Item(s)] || captions_silent.30253.en_US.srt [43 bytes] || us_east_040_2160p59.94.mp4 (3840x2160) [859.0 MB] || us_east.hwshow [188 bytes] || ",
"hits": 42
},
{
"id": 4804,
"url": "https://svs.gsfc.nasa.gov/4804/",
"result_type": "Visualization",
"release_date": "2020-10-13T00:00:00-04:00",
"title": "Greenland Ice Sheet: Three Futures",
"description": "This movie shows the evolution of several regions of the Greenland Ice Sheet between 2008 and 2300 based on three different climate scenarios. Each scenario reflects a potential future climate outcome based on current and future greenhouse gas emmisions. The regions shown in a violet color are exposed areas of the Greenland bed that were covered by the ice sheet in 2008. || Greenland_NE_2008_2300_HD_still.2127.jpg (1920x1080) [1.0 MB] || Greenland_NE_2008_2300_HD_still.2127_print.jpg (1024x576) [159.2 KB] || Greenland_NE_2008_2300_HD_still.2127_searchweb.png (320x180) [81.1 KB] || Greenland_NE_2008_2300_HD_still.2127_thm.png (80x40) [7.1 KB] || GreenlandVizV5.webm (1920x1080) [19.7 MB] || Greenland_NE_2008_2300_HD_still.2127.tif (1920x1080) [2.0 MB] || GreenlandVizV5.mp4 (1920x1080) [181.9 MB] || GreenlandViz_FINAL.mov (1920x1080) [5.8 GB] || GreenlandVizV5.mp4.hwshow [378 bytes] || ",
"hits": 212
},
{
"id": 4823,
"url": "https://svs.gsfc.nasa.gov/4823/",
"result_type": "Visualization",
"release_date": "2020-09-11T00:00:00-04:00",
"title": "Draining the Oceans",
"description": "Data visualization of the draining of the Earth's oceans. The visualization simulates an incremental drop of 10 meters of the water’s level on Earth’s surface. As time progresses and the oceans drain, it becomes evident that underwater mountain ranges are bigger in size and trenches are deeper in comparison to those on dry land. While water drains quickly closer to continents, it drains slowly in our planet’s deepest trenches. || OceanDrain_3840x2160_60fps_0837_print.jpg (1024x576) [259.5 KB] || OceanDrain_3840x2160_60fps_0837_print_searchweb.png (320x180) [97.8 KB] || OceanDrain_3840x2160_60fps_0837_print_thm.png (80x40) [7.8 KB] || OceanDrain_1920x1080_30fps.mp4 (1920x1080) [44.2 MB] || OceanDrain_1920x1080_30fps.webm (1920x1080) [4.3 MB] || OceanDrain (3840x2160) [0 Item(s)] || OceanDrain (3840x2160) [0 Item(s)] || OceanDrain_3840x2160_60fps_0837.tif (3840x2160) [31.6 MB] || OceanDrain_3840x2160_30fps.mp4 (3840x2160) [154.1 MB] || OceanDrain_1920x1080_30fps.mp4.hwshow [192 bytes] || ",
"hits": 630
},
{
"id": 4834,
"url": "https://svs.gsfc.nasa.gov/4834/",
"result_type": "Visualization",
"release_date": "2020-08-31T11:00:00-04:00",
"title": "First Global Survey of Glacial Lakes Shows 30-Years of Dramatic Growth",
"description": "Data visualization featuring the glacier rich region of the Himalayas, along with many of Earth’s highest peaks. The visualization sequence starts with a wide view of the Tibetan plateau and moves along a hiking path highlighting Mt. Everest, Mt. Lhotse, Mt Nuptse, the Everest Base Camp, the Khumbhu glacier, all the way to Imja Lake. Moving to a top-down view of Imja Lake, a time series of Landsat data unveils its dramatic growth for the period 1989-2019.This video is also available on our YouTube channel. || imja_final_4k.4600_print.jpg (1024x576) [114.8 KB] || imja_final_4k.4600_searchweb.png (320x180) [101.5 KB] || imja_final_4k.4600_web.png (320x180) [101.5 KB] || imja_final_4k.4600_thm.png (80x40) [7.5 KB] || imja_final_HD_1080p60.mp4 (1920x1080) [72.9 MB] || 1920x1080_16x9_60p (1920x1080) [0 Item(s)] || imja_final_HD_1080p60.webm (1920x1080) [19.7 MB] || with_cities (3840x2160) [0 Item(s)] || captions_silent.30013.en_US.srt [43 bytes] || imja_final_4k_2160p60.mp4 (3840x2160) [215.1 MB] || imja_final_2160p60_prores.mov (3840x2160) [16.9 GB] || ",
"hits": 90
},
{
"id": 13699,
"url": "https://svs.gsfc.nasa.gov/13699/",
"result_type": "Produced Video",
"release_date": "2020-08-31T11:00:00-04:00",
"title": "Tracking Three Decades of Dramatic Glacial Lake Growth",
"description": "Music: \"Dew\" by Matthew Nicholson [PRS], Suki Jeanette Finn [PRS]This video can be freely shared and downloaded. While the video in its entirety can be shared without permission, some individual imagery provided by pond5.com is obtained through permission and may not be excised or remixed in other products. Specific details on stock footage may be found here. For more information on NASA’s media guidelines, visit https://www.nasa.gov/multimedia/guidelines/index.html.Complete transcript available. || ImjaLake.jpg (1920x1080) [1.2 MB] || ImjaLake_print.jpg (1024x576) [382.8 KB] || ImjaLake_searchweb.png (320x180) [109.6 KB] || ImjaLake_web.png (320x180) [109.6 KB] || ImjaLake_thm.png (80x40) [7.5 KB] || 13699_GlacierLake820.mov (1920x1080) [1.9 GB] || 13699_GlacierLake820.mp4 (1920x1080) [138.4 MB] || 13699_GlacierLake820.webm (1920x1080) [15.0 MB] || GlacierLake820.en_US.srt [2.1 KB] || GlacierLake820.en_US.vtt [2.1 KB] || ",
"hits": 74
},
{
"id": 4843,
"url": "https://svs.gsfc.nasa.gov/4843/",
"result_type": "Visualization",
"release_date": "2020-07-29T12:00:00-04:00",
"title": "GPM watches Hurricane Douglas threaten Hawaii",
"description": "This data visualization starts by looking at Hurricane Douglas via IMERG precipitation measurements over cloud cover as Douglas approaches the Hawaiian islands on July 25, 2020. GPM then flies over to collect more detailed measurements of the Hurricane's surface precipitation and internal structure via it's GMI and DPR instruments respectively. || cam_douglasShape.2400_print.jpg (1024x576) [140.2 KB] || cam_douglasShape.2400_searchweb.png (320x180) [89.4 KB] || cam_douglasShape.2400_thm.png (80x40) [7.3 KB] || douglas_1080p30.mp4 (1920x1080) [76.4 MB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || douglas_1080p30.webm (1920x1080) [11.4 MB] || douglas_1080p30.mp4.hwshow [181 bytes] || ",
"hits": 20
},
{
"id": 4837,
"url": "https://svs.gsfc.nasa.gov/4837/",
"result_type": "Visualization",
"release_date": "2020-07-03T00:00:00-04:00",
"title": "IMERG Monthly Climatology",
"description": "This data visualization cycles through the monthly precipitation rates. Both the colorbar and corresponding months are burned into the movie. || monthly_clim_w_dates.0000_print.jpg (1024x576) [235.9 KB] || monthly_clim_w_dates.0000_searchweb.png (320x180) [92.1 KB] || monthly_clim_w_dates.0000_thm.png (80x40) [7.7 KB] || monthly_clim_w_dates_1080p30_2.mp4 (1920x1080) [13.7 MB] || monthly_clim_w_dates_1080p30.mp4 (1920x1080) [20.9 MB] || monthly_with_dates (1920x1080) [0 Item(s)] || monthly_clim_w_dates_1080p30_2.webm (1920x1080) [2.1 MB] || monthly_clim_w_dates_1080p30_2.mp4.hwshow [196 bytes] || ",
"hits": 57
},
{
"id": 4730,
"url": "https://svs.gsfc.nasa.gov/4730/",
"result_type": "Visualization",
"release_date": "2020-05-25T11:00:00-04:00",
"title": "MAVEN – Mars Electric Current Systems",
"description": "The current systems formed around Mars as a result of a solar wind driven convective electric field(Note: These frame sets were converted to the sRGB color space on 6/16/2020)This video is also available on our YouTube channel. || ideal_currents_1080.00600_print.jpg (1024x576) [71.1 KB] || ideal_currents_1080.00600_searchweb.png (320x180) [21.7 KB] || ideal_currents_1080.00600_thm.png (80x40) [2.0 KB] || ideal_currents_1080p30.mp4 (1920x1080) [74.0 MB] || ideal_currents_1080.webm (1920x1080) [9.9 MB] || ideal_curr (1920x1080) [0 Item(s)] || ideal_curr (3840x2160) [0 Item(s)] || captions_silent.25991.en_US.srt [43 bytes] || ideal_currents_4k_2160p30.mp4 (3840x2160) [170.1 MB] || idealized_currents_prores.mov (1920x1080) [2.9 GB] || Mars_idealized_currents_4k_prores.mov (3840x2160) [3.5 GB] || ideal_currents_1080p30.mp4.hwshow || ",
"hits": 151
},
{
"id": 13625,
"url": "https://svs.gsfc.nasa.gov/13625/",
"result_type": "Produced Video",
"release_date": "2020-05-25T11:00:00-04:00",
"title": "First Map of Mars Electric Currents",
"description": "MAVEN data have enabled the first map of the electric current systems (blue and red arrows) that shape the induced magnetic field surrounding Mars.Credit: NASA/Goddard/MAVEN/CU Boulder/SVSUniversal Production Music: “A Lucid Dream” and “Shimmer Oscillations” by James Joshua OttoWatch this video on the NASA Goddard YouTube channel.Complete transcript available. || MarsElectricCurrentsPreview6_print.jpg (1024x576) [305.8 KB] || MarsElectricCurrentsPreview6.jpg (1920x1080) [853.6 KB] || MarsElectricCurrentsPreview6_searchweb.png (320x180) [50.6 KB] || MarsElectricCurrentsPreview6_thm.png (80x40) [5.3 KB] || 13625_Mars_Electric_Currents_Twitter.mp4 (1280x720) [63.8 MB] || 13625_Mars_Electric_Currents_Facebook.mp4 (1920x1080) [359.1 MB] || 13625_Mars_Electric_Currents_YouTube.webm (3840x2160) [91.7 MB] || 13625_Mars_Electric_Currents_Captions.en_US.srt [7.2 KB] || 13625_Mars_Electric_Currents_Captions.en_US.vtt [6.8 KB] || 13625_Mars_Electric_Currents_YouTube.mp4 (3840x2160) [2.8 GB] || 13625_Mars_Electric_Currents_MASTER.mov (3840x2160) [14.2 GB] || 13625_Mars_Electric_Currents_Facebook.mp4.hwshow [134 bytes] || ",
"hits": 103
},
{
"id": 4824,
"url": "https://svs.gsfc.nasa.gov/4824/",
"result_type": "Visualization",
"release_date": "2020-05-25T00:00:00-04:00",
"title": "MAVEN Observes Solar Particle Velocities and the Induced Magnetic Field",
"description": "MAVEN orbits Mars and measures solar particle velocities and variations in the solar wind’s magnetic field. || maven_vels_magField.03000_print.jpg (1024x576) [92.5 KB] || maven_vels_magField.03000_searchweb.png (320x180) [63.5 KB] || maven_vels_magField.03000_thm.png (80x40) [4.2 KB] || maven_vels_magField_1080p30.mp4 (1920x1080) [83.1 MB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || maven_vels_magField_1080p30.webm (1920x1080) [19.0 MB] || 4824_MAVEN_Solar_Wind_Data_1080_30p.mov (1920x1080) [2.6 GB] || maven_vels_magField_1080p30.mp4.hwshow [193 bytes] || ",
"hits": 89
},
{
"id": 4825,
"url": "https://svs.gsfc.nasa.gov/4825/",
"result_type": "Visualization",
"release_date": "2020-05-25T00:00:00-04:00",
"title": "MAVEN – Mars and Solar Wind Simulation",
"description": "This simulation depicts the solar wind interacting with the Mars upper atmosphere, with MAVEN's orbit embedded. || maven_cme44.03600_print.jpg (1024x512) [253.9 KB] || maven_cme44.03600_searchweb.png (320x180) [92.7 KB] || maven_cme44.03600_thm.png (80x40) [5.2 KB] || 1920x1080_16x9_30p (2048x1024) [0 Item(s)] || maven_cme44_1024p30.webm (2048x1024) [5.9 MB] || maven_cme44_1024p30.mp4 (2048x1024) [195.1 MB] || maven_cme44_1024p30.mp4.hwshow [58 bytes] || ",
"hits": 52
},
{
"id": 31139,
"url": "https://svs.gsfc.nasa.gov/31139/",
"result_type": "Hyperwall Visual",
"release_date": "2020-05-08T00:00:00-04:00",
"title": "Earth: A System of Systems (updated)",
"description": "All six time-synchronous datasets, individually and then layered two at a time || layered_pairs_1080p.00001_print.jpg (1024x576) [59.0 KB] || layered_pairs_1080p.00001_searchweb.png (320x180) [42.0 KB] || layered_pairs_1080p.00001_thm.png (80x40) [3.8 KB] || layered_pairs_720p.mp4 (1280x720) [83.6 MB] || layered_pairs_1080p.webm (1920x1080) [28.6 MB] || layered_pairs_1080p.mp4 (1920x1080) [157.7 MB] || layered_pairs_2160p.mp4 (3840x2160) [432.6 MB] || A_System_of_Systems_Updated_-_30701.pptx [436.3 MB] || ",
"hits": 73
},
{
"id": 13586,
"url": "https://svs.gsfc.nasa.gov/13586/",
"result_type": "Produced Video",
"release_date": "2020-04-21T06:00:00-04:00",
"title": "NASA Looks Back at 50 Years of Earth Day",
"description": "It’s been five decades since Apollo 8 astronaut William Anders photographed Earth peaking over the Moon’s horizon. The iconic image, dubbed Earthrise, inspired a new appreciation of the fragility of our place in the universe. Two years later, Earth Day was born to honor our home planet. As the world prepares to commemorate the 50th anniversary of Earth Day, NASA reflects on how the continued growth of its fleet of Earth-observing satellites has sharpened our view of the planet’s climate, atmosphere, land, polar regions and oceans. || ",
"hits": 108
},
{
"id": 4801,
"url": "https://svs.gsfc.nasa.gov/4801/",
"result_type": "Visualization",
"release_date": "2020-04-21T00:00:00-04:00",
"title": "Earth Day 2020: Apollo-8 to Earth observing fleet",
"description": "Push in from the far side of the Moon to Apollo-8 take the \"Earthrise\" photo; then push in to NASA's Earth observing fleet in 1970 (the first Earth Day), then transition to the Earth observing fleet in 2020 (the 50th anniversary of Earth Day)This video is also available on our YouTube channel. || earth_day_setup_shot01.2300_print.jpg (1024x576) [38.8 KB] || earth_day_setup_shot01.2300_searchweb.png (320x180) [44.1 KB] || earth_day_setup_shot01.2300_thm.png (80x40) [3.0 KB] || earth_day_setup_final01.mp4 (1920x1080) [17.3 MB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || earth_day_setup_final01.webm (1920x1080) [6.3 MB] || 5760x3240_16x9_30p (5760x3240) [0 Item(s)] || captions_silent.29345.en_US.srt [43 bytes] || earth_day_setup_final01.mp4.hwshow [189 bytes] || ",
"hits": 159
},
{
"id": 4802,
"url": "https://svs.gsfc.nasa.gov/4802/",
"result_type": "Visualization",
"release_date": "2020-04-21T00:00:00-04:00",
"title": "Earth Day 2020: Gulf Stream ocean current pull out to Earth observing fleet",
"description": "Ocean currents from the ECCO-2 model: starting underwater, then pulling back to see the Gulf Stream, pulling back farther revealing the Earth observing fleetThis video is also available on our YouTube channel. || gulf_stream_to_fleet_final01.4300_print.jpg (1024x576) [274.9 KB] || gulf_stream_to_fleet_final01.4300_searchweb.png (320x180) [138.0 KB] || gulf_stream_to_fleet_final01.4300_thm.png (80x40) [8.1 KB] || 1920x1080_16x9_60p (1920x1080) [0 Item(s)] || gulf_stream_to_fleet_final01_1080p60.webm (1920x1080) [13.8 MB] || gulf_stream_to_fleet_final01_1080p60.mp4 (1920x1080) [140.9 MB] || gulf_stream_to_fleet_final01.mp4 (1920x1080) [203.9 MB] || 9600x3240_16x9_30p (9600x3240) [0 Item(s)] || captions_silent.29348.en_US.srt [43 bytes] || gulf_stream_to_fleet_final01.mp4.hwshow [448 bytes] || ",
"hits": 106
},
{
"id": 4809,
"url": "https://svs.gsfc.nasa.gov/4809/",
"result_type": "Visualization",
"release_date": "2020-04-21T00:00:00-04:00",
"title": "Earth Day 2020: Sea Surface Temperature (SST) from January 2016 through March 2020",
"description": "Sea Surface Temperature - composited version with all layers includedThis video is also available on our YouTube channel. || sst_comp_layer.1300_print.jpg (1024x576) [73.2 KB] || sst_comp.1300_searchweb.png (320x180) [53.1 KB] || comp (1920x1080) [0 Item(s)] || sst_comp_1080p30.mp4 (1920x1080) [43.8 MB] || sst_comp_1080p30.webm (1920x1080) [12.3 MB] || comp (5760x3240) [0 Item(s)] || captions_silent.29492.en_US.srt [43 bytes] || ",
"hits": 63
},
{
"id": 4813,
"url": "https://svs.gsfc.nasa.gov/4813/",
"result_type": "Visualization",
"release_date": "2020-04-21T00:00:00-04:00",
"title": "Earth Day 2020: Biosphere",
"description": "Global Biosphere data from 1997 through 2017 with corresponding colorbars and date stamp.This video is also available on our YouTube channel. || earthday_bio_comp.0000_print.jpg (1024x576) [95.0 KB] || earthday_bio_comp.0000_searchweb.png (320x180) [51.5 KB] || earthday_bio_comp.0000_thm.png (80x40) [5.0 KB] || earthday_biosphere_composite (1920x1080) [0 Item(s)] || earthday_bio_comp_1080p30.webm (1920x1080) [17.9 MB] || earthday_bio_comp_1080p30.mp4 (1920x1080) [106.0 MB] || captions_silent.29351.en_US.srt [43 bytes] || earthday_bio_comp_1080p30.mp4.hwshow [191 bytes] || ",
"hits": 65
},
{
"id": 4814,
"url": "https://svs.gsfc.nasa.gov/4814/",
"result_type": "Visualization",
"release_date": "2020-04-15T00:00:00-04:00",
"title": "Earth Day 2020: Sea Surface Salinity (SSS) from August 2011 through July 2014",
"description": "Sea Surface Salinity || aquarius.2001_print.jpg (1024x576) [54.2 KB] || aquarius.2001_searchweb.png (320x180) [39.5 KB] || aquarius.2001_thm.png (80x40) [4.3 KB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || aquarius_1080p30.mp4 (1920x1080) [29.1 MB] || aquarius_1080p30.webm (1920x1080) [11.9 MB] || aquarius_1080p30.mp4.hwshow [182 bytes] || ",
"hits": 24
},
{
"id": 4777,
"url": "https://svs.gsfc.nasa.gov/4777/",
"result_type": "Visualization",
"release_date": "2020-01-23T09:00:00-05:00",
"title": "Proxima Centauri b Climate Model Scenarios",
"description": "Proxima b as a water planet with no land and no ocean circulation. Notice the large ocean on Proxima b's starside. || thermo.0026__cameraShape1_beauty.2000_print.jpg (1024x576) [279.0 KB] || Thermo (3840x2160) [0 Item(s)] || thermo.0026__cameraShape1_beauty.webm (3840x2160) [54.6 MB] || thermo.0026__cameraShape1_beauty.mp4 (3840x2160) [671.5 MB] || ",
"hits": 221
},
{
"id": 4779,
"url": "https://svs.gsfc.nasa.gov/4779/",
"result_type": "Visualization",
"release_date": "2020-01-23T09:00:00-05:00",
"title": "Orbital Differences Between Earth and Proxima Centauri b",
"description": "This data visualization compares the relative distances and speeds of Proxima B's orbit to the Earth's orbit. Proxima B rapidly orbits its sun every 11.2 days. || evb_orbits_comp.0333_print.jpg (1024x576) [78.7 KB] || evb_orbits_comp.0333_searchweb.png (320x180) [48.9 KB] || evb_orbits_comp.0333_thm.png (80x40) [4.7 KB] || evb_orbits_comp_1080p30.mp4 (1920x1080) [5.3 MB] || Composite (1920x1080) [0 Item(s)] || evb_orbits_comp_1080p30.webm (1920x1080) [1.8 MB] || ",
"hits": 772
},
{
"id": 4755,
"url": "https://svs.gsfc.nasa.gov/4755/",
"result_type": "Visualization",
"release_date": "2019-12-12T14:00:00-05:00",
"title": "Mars Upper Level Winds Observed by MAVEN - Visualizations",
"description": "MAVEN observes upper level Martian winds over the course of about two years. || maven_upper_winds_60fps.0104__cam_mainShape_190909182423_beauty.1780_print.jpg (1024x576) [42.9 KB] || maven_upper_winds_60fps.0104__cam_mainShape_190909182423_beauty.1780_searchweb.png (320x180) [49.1 KB] || maven_upper_winds_60fps.0104__cam_mainShape_190909182423_beauty.1780_thm.png (80x40) [4.0 KB] || maven_upper_winds_campaigns_1080p60.mp4 (1920x1080) [51.0 MB] || maven_upper_winds_campaigns_1080p30.mp4 (1920x1080) [46.4 MB] || maven_upper_winds.0104_cam_mainShape_190909182423_beauty_1080p30.webm (1920x1080) [9.6 MB] || campaigns (3840x2160) [0 Item(s)] || maven_upper_winds_campaigns_2160p60.mp4 (3840x2160) [162.2 MB] || maven_upper_winds_campaigns_2160p30.mp4 (3840x2160) [146.8 MB] || 4755_MAVEN_Wind_Currents_Full.mov (3840x2160) [9.7 GB] || maven_upper_winds_campaigns_1080p30.mp4.hwshow [201 bytes] || ",
"hits": 59
},
{
"id": 13485,
"url": "https://svs.gsfc.nasa.gov/13485/",
"result_type": "Produced Video",
"release_date": "2019-12-12T14:00:00-05:00",
"title": "Mars Wind Currents Reveal a Surprising Feature",
"description": "By measuring windspeed and direction in the Mars upper atmosphere, MAVEN has discovered that high-altitude wind currents are being disturbed by terrain features far below.Credit: NASA/Goddard/MAVEN/CU Boulder/University of MichiganUniversal Production Music: “Glacial Shifts” by James Joshua OttoWatch this video on the NASA Goddard YouTube channel.Complete transcript available. || FACEBOOK_720_13485_Mars_Upper_Winds_MASTER_facebook_720.mp4 (1280x720) [216.5 MB] || 13485_MarsUpperWinds_Preview_print.jpg (1024x576) [77.9 KB] || 13485_MarsUpperWinds_Preview.jpg (3840x2160) [399.6 KB] || 13485_MarsUpperWinds_Preview_searchweb.png (320x180) [57.6 KB] || 13485_MarsUpperWinds_Preview_thm.png (80x40) [4.8 KB] || TWITTER_720_13485_Mars_Upper_Winds_MASTER_twitter_720.mp4 (1280x720) [37.3 MB] || 13485_Mars_Upper_Winds_MASTER.webm (960x540) [78.1 MB] || 13485_Mars_Upper_Winds_Captions.en_US.srt [4.2 KB] || 13485_Mars_Upper_Winds_Captions.en_US.vtt [4.2 KB] || CH28_13485_Mars_Upper_Winds_MASTER_ch28.mov (1280x720) [1.8 GB] || 13485_Mars_Upper_Winds_YouTube.mp4 (3840x2160) [2.0 GB] || 13485_Mars_Upper_Winds_MASTER.mov (3840x2160) [19.2 GB] || ",
"hits": 97
},
{
"id": 13417,
"url": "https://svs.gsfc.nasa.gov/13417/",
"result_type": "Produced Video",
"release_date": "2019-11-27T12:00:00-05:00",
"title": "Landsat Croplands Data Overview",
"description": "The U.S. Department of Agriculture tracks how many acres and the annual yield for every crop produced. One method used to estimate crop acreage and yield is remote-sensing data from the NASA-USGS Landsat satellite program. The program started in 1997,with North Dakota, and by 2008 covered the entire lower 48 states and the District of Columbia. Music: \"Downloading Landscapes\" by Andrew Michael Britton [PRS] and David Stephen Goldsmith [PRS]. Published by Atmosphere Music Ltd [PRS].Complete transcript available.Watch this video on the NASA Goddard YouTube channel. || 13417_Landsat_Croplands_print.jpg (1920x1080) [940.0 KB] || 13417_Landsat_Croplands_print_searchweb.png (180x320) [52.1 KB] || 13417_Landsat_Croplands_print_thm.png (80x40) [4.6 KB] || 13417_Landsat_Croplands.webm (1920x1080) [19.7 MB] || 13417_Landsat_Croplands.mp4 (1920x1080) [292.2 MB] || 13417_Landsat_Croplands-captions.en_US.srt [3.0 KB] || 13417_Landsat_Croplands-captions.en_US.vtt [3.0 KB] || 13417_Landsat_Croplands.mov (1920x1080) [4.8 GB] || 13417_Landsat_Croplands.mp4.hwshow [423 bytes] || ",
"hits": 155
},
{
"id": 13345,
"url": "https://svs.gsfc.nasa.gov/13345/",
"result_type": "Produced Video",
"release_date": "2019-10-16T01:00:00-04:00",
"title": "NASA Remasters Nearly 20 Years of Global Rain",
"description": "Music: \"Synchronicity,\" \"The Ocean and the Moon,\" \"Cloud Surfing,\" Universal Production MusicComplete transcript available. || IMERG_Thumb2.png (1672x938) [2.3 MB] || IMERG_Thumb2_print.jpg (1024x574) [141.1 KB] || IMERG_Thumb2_searchweb.png (320x180) [117.2 KB] || IMERG_Thumb2_thm.png (80x40) [8.4 KB] || 13345_IMERG20_v2_prores.webm (1920x1080) [32.5 MB] || 13345_IMERG20_v2.mp4 (1920x1080) [465.7 MB] || 13345_IMERG20.en_US.srt [5.3 KB] || 13345_IMERG20.en_US.vtt [5.3 KB] || 13345_IMERG20_v2_prores.mov (1920x1080) [3.9 GB] || ",
"hits": 36
},
{
"id": 4760,
"url": "https://svs.gsfc.nasa.gov/4760/",
"result_type": "Visualization",
"release_date": "2019-10-16T00:00:00-04:00",
"title": "Grand Average Precipitation Climatology",
"description": "Grand Average Precipitation Climatology || grand_average_climatology2_black_print.jpg (1024x576) [128.5 KB] || grand_average_climatology2_black_searchweb.png (320x180) [87.7 KB] || grand_average_climatology2_black_thm.png (80x40) [8.0 KB] || grand_average_climatology2_black.tif (3840x2160) [80.5 MB] || ",
"hits": 42
},
{
"id": 4759,
"url": "https://svs.gsfc.nasa.gov/4759/",
"result_type": "Visualization",
"release_date": "2019-10-15T00:00:00-04:00",
"title": "IMERG Daily Climatology",
"description": "Example composite showing the daily climatology along with the appropriate month and colorbar. || daily_clim_black_comp.0000_print.jpg (1024x576) [163.0 KB] || daily_clim_black_comp.0000_thm.png (80x40) [7.7 KB] || daily_clim_black_comp.0000_searchweb.png (180x320) [95.0 KB] || daily_clim_black_comp_1080p30.mp4 (1920x1080) [53.6 MB] || daily_clim_black_comp_1080p30.webm (1920x1080) [8.1 MB] || example_composite (3840x2160) [0 Item(s)] || daily_clim_black_comp_2160p30.mp4 (3840x2160) [147.5 MB] || daily_clim_black_comp_1080p30.mp4.hwshow [195 bytes] || ",
"hits": 34
},
{
"id": 4750,
"url": "https://svs.gsfc.nasa.gov/4750/",
"result_type": "Visualization",
"release_date": "2019-09-30T12:00:00-04:00",
"title": "Weekly Arctic Sea Ice Age with Graph of Ice Age By Area: 1984 - 2019",
"description": "This visualization shows the age of the Arctic sea ice between 1984 and 2019. Younger sea ice, or first-year ice, is shown in a dark shade of blue while the ice that is four years old or older is shown as white. A graph displayed in the upper left corner quantifies the area covered sea ice 4 or more years old in millions of square kilometers.This video is also available on our YouTube channel. || IceAge_2019_comp_withGraph.3714_print.jpg (1024x576) [124.7 KB] || IceAge_2019_comp_withGraph.3714_searchweb.png (320x180) [71.6 KB] || IceAge_2019_comp_withGraph.3714_thm.png (80x40) [6.3 KB] || IceAge_2019_comp_withGraph_1080p30.mp4 (1920x1080) [90.9 MB] || IceAge_2019_comp_withGraph_1080p30.webm (1920x1080) [14.9 MB] || iceAge_withGraph (3840x2160) [0 Item(s)] || captions_silent.27894.en_US.srt [43 bytes] || IceAge_2019_comp_withGraph_2160p30.mp4 (3840x2160) [255.2 MB] || IceAge_2019_comp_withGraph_1080p30.mp4.hwshow [200 bytes] || ",
"hits": 210
},
{
"id": 4743,
"url": "https://svs.gsfc.nasa.gov/4743/",
"result_type": "Visualization",
"release_date": "2019-07-30T00:00:00-04:00",
"title": "Greenland's Jakobshavn Region: Three Simulated Greenland Ice Sheet Response Scenarios: 2008 - 2300",
"description": "The Greenland Ice Sheet holds enough water to raise the world’s sea level by over 7 meters (23 feet). Rising atmosphere and ocean temperatures have led to an ice loss equivalent to over a centimeter increase in global mean sea-level between 1991 and 2015. Large outlet glaciers, rivers of ice moving to the sea, drain the ice from the interior of Greenland and cause the outer margins of the ice sheet to recede. Improvements in measuring the ice thickness in ice sheets is enabling better simulation of the flow in outlet glaciers, which is key to predicting the retreat of ice sheets into the future.Recently, a simulation of the effects of outlet glacier flow on ice sheet thickness coupled with improved data and comprehensive climate modeling for differing future climate scenarios has been used to estimate Greenland’s contribution to sea-level over the next millennium. Greenland could contribute 5–34 cm (2-13 inches) to sea-level by 2100 and 11–162 cm (4-64 inches) by 2200, with outlet glaciers contributing 19–40 % of the total mass loss. The analysis shows that uncertainties in projecting mass loss are dominated by uncertainties in climate scenarios and surface processes, followed by ice dynamics. Uncertainties in ocean conditions play a minor role, particularly in the long term. Greenland will very likely become ice-free within a millennium without significant reductions in greenhouse gas emissions.Three visualizations of the evolution of the Jakobshavn region of the Greenland Ice Sheet between 2008 and 2300 based on three different climate scenarios are shown below. Each scenario is described briefly in the caption under each visualization. Each of the three visualizations are provided with a date, colorbar and a distance scale as well as without. The regions shown in a violet color are exposed areas of the Greenland bed that were covered by the ice sheet in 2008.The data sets used for these animations are the control (“CTRL”) simulations and were produced with the open-source Parallel Ice Sheet Model . All data sets for this study are publicly available at the NSF Arctic Data Center || ",
"hits": 23
},
{
"id": 4735,
"url": "https://svs.gsfc.nasa.gov/4735/",
"result_type": "Visualization",
"release_date": "2019-07-29T18:30:00-04:00",
"title": "NASA Surveys Hurricane Damage to Puerto Rico's Forests (Data Viz Version)",
"description": "Hurricane Maria transformed the lush rainforests of Puerto Rico leaving lots of openings in the forest canopy. NASA scientists studied the island's forests before and after the storm. Goddard's Lidar, Hyperspectral, and Thermal Imager (G-LiHT) is a portable instrument that maps forest health and structure from a small airplane resulting in detailed 3-D views of the forest. G-LiHT sends out 600,000 laser pulses every second mapping leaves and branches, rocks and streams. Almost 60% of the canopy trees lost branches, snapped in half, or were uprooted. Trees with wide, spreading crowns were reduced to a slender main trunk. Forests in Puerto Rico are now one-third shorter on average, after Hurricane Maria. The disturbances affected the whole ecosystem, from soils and streams to birds and frogs. G-LiHT data will help scientists understand how forests and wildlife respond to future changes. || SIGGRAPH_lidar_over_Puerto_Rico.01000_print.jpg (1024x576) [90.3 KB] || SIGGRAPH_lidar_over_Puerto_Rico.01000_searchweb.png (320x180) [89.6 KB] || SIGGRAPH_lidar_over_Puerto_Rico.01000_thm.png (80x40) [7.1 KB] || SIGGRAPH_PuertoRicoLidar.webm (1920x1080) [19.9 MB] || SIGGRAPH_lidar_over_Puerto_Rico.webm (1920x1080) [21.4 MB] || SIGGRAPH_PuertoRicoLidar.mp4 (1920x1080) [253.0 MB] || ",
"hits": 40
},
{
"id": 4742,
"url": "https://svs.gsfc.nasa.gov/4742/",
"result_type": "Visualization",
"release_date": "2019-07-25T15:00:00-04:00",
"title": "SVS Demo Reel",
"description": "This is the SVS Demo Reel presented at SIGGRAPH 2019 in Los Angeles, CA. || svs_siggraphreel2019_print.jpg (1920x1080) [319.8 KB] || svs_siggraphreel2019_print_searchweb.png (320x180) [36.2 KB] || svs_siggraphreel2019_print_thm.png (80x40) [3.3 KB] || svs_siggraphreel2019.mp4 (1920x1080) [298.4 MB] || svs_siggraphreel2019.webm (1920x1080) [18.6 MB] || svs_siggraphreel2019.en_US.srt [38 bytes] || svs_siggraphreel2019.en_US.vtt [51 bytes] || ",
"hits": 61
},
{
"id": 4738,
"url": "https://svs.gsfc.nasa.gov/4738/",
"result_type": "Visualization",
"release_date": "2019-07-24T00:00:00-04:00",
"title": "Northeast Regional View of Three Simulated Greenland Ice Sheet Response Scenarios: 2008 - 2300",
"description": "The Greenland Ice Sheet holds enough water to raise the world’s sea level by over 7 meters (23 feet). Rising atmosphere and ocean temperatures have led to an ice loss equivalent to over a centimeter increase in global mean sea-level between 1991 and 2015. Large outlet glaciers, rivers of ice moving to the sea, drain the ice from the interior of Greenland and cause the outer margins of the ice sheet to recede. Improvements in measuring the ice thickness in ice sheets is enabling better simulation of the flow in outlet glaciers, which is key to predicting the retreat of ice sheets into the future.Recently, a simulation of the effects of outlet glacier flow on ice sheet thickness coupled with improved data and comprehensive climate modeling for differing future climate scenarios has been used to estimate Greenland’s contribution to sea-level over the next millennium. Greenland could contribute 5–34 cm (2-13 inches) to sea-level by 2100 and 11–162 cm (4-64 inches) by 2200, with outlet glaciers contributing 19–40 % of the total mass loss. The analysis shows that uncertainties in projecting mass loss are dominated by uncertainties in climate scenarios and surface processes, followed by ice dynamics. Uncertainties in ocean conditions play a minor role, particularly in the long term. Greenland will very likely become ice-free within a millennium without significant reductions in greenhouse gas emissions.Three visualizations of the evolution of the northeastern region of the Greenland Ice Sheet between 2008 and 2300 based on three different climate scenarios are shown below. Each scenario is described briefly in the caption under each visualization. Each of the three visualizations are provided with a date, colorbar and a distance scale as well as without. The regions shown in a violet color are exposed areas of the Greenland bed that were covered by the ice sheet in 2008.The data sets used for these animations are the control (“CTRL”) simulations and were produced with the open-source Parallel Ice Sheet Model . All data sets for this study are publicly available at the NSF Arctic Data Center || ",
"hits": 19
},
{
"id": 4739,
"url": "https://svs.gsfc.nasa.gov/4739/",
"result_type": "Visualization",
"release_date": "2019-07-24T00:00:00-04:00",
"title": "Northwest Regional View of Three Simulated Greenland Ice Sheet Response Scenarios: 2008 - 2300",
"description": "The Greenland Ice Sheet holds enough water to raise the world’s sea level by over 7 meters (23 feet). Rising atmosphere and ocean temperatures have led to an ice loss equivalent to over a centimeter increase in global mean sea-level between 1991 and 2015. Large outlet glaciers, rivers of ice moving to the sea, drain the ice from the interior of Greenland and cause the outer margins of the ice sheet to recede. Improvements in measuring the ice thickness in ice sheets is enabling better simulation of the flow in outlet glaciers, which is key to predicting the retreat of ice sheets into the future.Recently, a simulation of the effects of outlet glacier flow on ice sheet thickness coupled with improved data and comprehensive climate modeling for differing future climate scenarios has been used to estimate Greenland’s contribution to sea-level over the next millennium. Greenland could contribute 5–34 cm (2-13 inches) to sea-level by 2100 and 11–162 cm (4-64 inches) by 2200, with outlet glaciers contributing 19–40 % of the total mass loss. The analysis shows that uncertainties in projecting mass loss are dominated by uncertainties in climate scenarios and surface processes, followed by ice dynamics. Uncertainties in ocean conditions play a minor role, particularly in the long term. Greenland will very likely become ice-free within a millennium without significant reductions in greenhouse gas emissions.Three visualizations of the evolution of the northwest region of the Greenland Ice Sheet between 2008 and 2300 based on three different climate scenarios are shown below. Each scenario is described briefly in the caption under each visualization. Each of the three visualizations are provided with a date, colorbar and a distance scale as well as without. The regions shown in a violet color are exposed areas of the Greenland bed that were covered by the ice sheet in 2008.The data sets used for these animations are the control (“CTRL”) simulations and were produced with the open-source Parallel Ice Sheet Model . All data sets for this study are publicly available at the NSF Arctic Data Center || ",
"hits": 11
},
{
"id": 4721,
"url": "https://svs.gsfc.nasa.gov/4721/",
"result_type": "Visualization",
"release_date": "2019-06-19T14:00:00-04:00",
"title": "Three Simulated Greenland Ice Sheet Response Scenarios: 2008 - 2300",
"description": "The Greenland Ice Sheet holds enough water to raise the world’s sea level by over 7 meters (23 feet). Rising atmosphere and ocean temperatures have led to an ice loss equivalent to over a centimeter increase in global mean sea-level between 1991 and 2015. Large outlet glaciers, rivers of ice moving to the sea, drain the ice from the interior of Greenland and cause the outer margins of the ice sheet to recede. Improvements in measuring the ice thickness in ice sheets is enabling better simulation of the flow in outlet glaciers, which is key to predicting the retreat of ice sheets into the future.Recently, a simulation of the effects of outlet glacier flow on ice sheet thickness coupled with improved data and comprehensive climate modeling for differing future climate scenarios has been used to estimate Greenland’s contribution to sea-level over the next millennium. Greenland could contribute 5–34 cm (2-13 inches) to sea-level by 2100 and 11–162 cm (4-64 inches) by 2200, with outlet glaciers contributing 19–40 % of the total mass loss. The analysis shows that uncertainties in projecting mass loss are dominated by uncertainties in climate scenarios and surface processes, followed by ice dynamics. Uncertainties in ocean conditions play a minor role, particularly in the long term. Greenland will very likely become ice-free within a millennium without significant reductions in greenhouse gas emissions.Three visualizations of the evolution of the Jakobshavn region of the Greenland Ice Sheet between 2008 and 2300 based on three different climate scenarios are shown below. The camera zooms in slowly as the ice sheet retreats and pulls out to a view of the entire ice sheet in the year 2300. Each scenario is described briefly in the caption under each visualization. Each of the three visualizations are provided with a date, colorbar and a distance scale as well as without. The regions shown in a violet color are exposed areas of the Greenland bed that were covered by the ice sheet in 2008.The data sets used for these animations are the control (“CTRL”) simulations and were produced with the open-source Parallel Ice Sheet Model (www.pism-docs.org). All data sets for this study are publicly available at https://arcticdata.io (doi:10.18739/A2Z60C21V). || ",
"hits": 56
},
{
"id": 4722,
"url": "https://svs.gsfc.nasa.gov/4722/",
"result_type": "Visualization",
"release_date": "2019-06-19T14:00:00-04:00",
"title": "Jakobshavn Regional View of Three Simulated Greenland Ice Sheet Response Scenarios: 2008 - 2300",
"description": "The Greenland Ice Sheet holds enough water to raise the world’s sea level by over 7 meters (23 feet). Rising atmosphere and ocean temperatures have led to an ice loss equivalent to over a centimeter increase in global mean sea-level between 1991 and 2015. Large outlet glaciers, rivers of ice moving to the sea, drain the ice from the interior of Greenland and cause the outer margins of the ice sheet to recede. Improvements in measuring the ice thickness in ice sheets is enabling better simulation of the flow in outlet glaciers, which is key to predicting the retreat of ice sheets into the future.Recently, a simulation of the effects of outlet glacier flow on ice sheet thickness coupled with improved data and comprehensive climate modeling for differing future climate scenarios has been used to estimate Greenland’s contribution to sea-level over the next millennium. Greenland could contribute 5–34 cm (2-13 inches) to sea-level by 2100 and 11–162 cm (4-64 inches) by 2200, with outlet glaciers contributing 19–40 % of the total mass loss. The analysis shows that uncertainties in projecting mass loss are dominated by uncertainties in climate scenarios and surface processes, followed by ice dynamics. Uncertainties in ocean conditions play a minor role, particularly in the long term. Greenland will very likely become ice-free within a millennium without significant reductions in greenhouse gas emissions.Three visualizations of the evolution of the Jakobshavn region of the Greenland Ice Sheet between 2008 and 2300 based on three different climate scenarios are shown below. Each scenario is described briefly in the caption under each visualization. Each of the three visualizations are provided with a date, colorbar and a distance scale as well as without. The regions shown in a violet color are exposed areas of the Greenland bed that were covered by the ice sheet in 2008.The data sets used for these animations are the control (“CTRL”) simulations and were produced with the open-source Parallel Ice Sheet Model (www.pism-docs.org). All data sets for this study are publicly available at https://arcticdata.io (doi:10.18739/A2Z60C21V). || ",
"hits": 31
},
{
"id": 4727,
"url": "https://svs.gsfc.nasa.gov/4727/",
"result_type": "Visualization",
"release_date": "2019-06-19T14:00:00-04:00",
"title": "Greenland View of Three Simulated Greenland Ice Sheet Response Scenarios: 2008 - 2300",
"description": "The Greenland Ice Sheet holds enough water to raise the world’s sea level by over 7 meters (23 feet). Rising atmosphere and ocean temperatures have led to an ice loss equivalent to over a centimeter increase in global mean sea-level between 1991 and 2015. Large outlet glaciers, rivers of ice moving to the sea, drain the ice from the interior of Greenland and cause the outer margins of the ice sheet to recede. Improvements in measuring the ice thickness in ice sheets is enabling better simulation of the flow in outlet glaciers, which is key to predicting the retreat of ice sheets into the future.Recently, a simulation of the effects of outlet glacier flow on ice sheet thickness coupled with improved data and comprehensive climate modeling for differing future climate scenarios has been used to estimate Greenland’s contribution to sea-level over the next millennium. Greenland could contribute 5–34 cm (2-13 inches) to sea-level by 2100 and 11–162 cm (4-64 inches) by 2200, with outlet glaciers contributing 19–40 % of the total mass loss. The analysis shows that uncertainties in projecting mass loss are dominated by uncertainties in climate scenarios and surface processes, followed by ice dynamics. Uncertainties in ocean conditions play a minor role, particularly in the long term. Greenland will very likely become ice-free within a millennium without significant reductions in greenhouse gas emissions.Three visualizations of the evolution of the Greenland Ice Sheet between 2008 and 2300 based on three different climate scenarios are shown below. Each scenario is described briefly in the caption under each visualization. Each of the three visualizations are provided with a date and colorbar as well as without. The regions shown in a violet color are exposed areas of the Greenland bed that were covered by the ice sheet in 2008.The data sets used for these animations are the control (“CTRL”) simulations and were produced with the open-source Parallel Ice Sheet Model (www.pism-docs.org). All data sets for this study are publicly available at https://arcticdata.io (doi:10.18739/A2Z60C21V). || ",
"hits": 118
},
{
"id": 4689,
"url": "https://svs.gsfc.nasa.gov/4689/",
"result_type": "Visualization",
"release_date": "2019-04-01T00:00:00-04:00",
"title": "Kennicott Glacier Time Lapse Traverse (2013 - 2015)",
"description": "Rasterized lidar data of Kennicott Glacier, Alaska from 2013 to 2015. The camera starts at the southern part of the glacier and moves northward along most of it's length. || ken_comp.00000_print.jpg (1024x576) [81.1 KB] || ken_comp.00000_searchweb.png (320x180) [72.4 KB] || ken_comp.00000_thm.png (80x40) [4.3 KB] || Example_Composite (1920x1080) [0 Item(s)] || ken_comp_1080p30.webm (1920x1080) [111.4 MB] || ken_comp_1080p30.mp4 (1920x1080) [417.7 MB] || ken_comp_1080p30.mp4.hwshow [182 bytes] || ",
"hits": 15
},
{
"id": 4688,
"url": "https://svs.gsfc.nasa.gov/4688/",
"result_type": "Visualization",
"release_date": "2019-03-25T12:00:00-04:00",
"title": "Jakobshavn's Interrupted Thinning Explained",
"description": "This visualization shows a variety of data from the oceans and ice to help explain why the Jakobshavn glacier grew thicker and advanced between 2016 and 2017.This video is also available on our YouTube channel. || Jakob_comp_final.3462_print.jpg (1024x576) [311.2 KB] || Jakob_comp_final_1080p30.webmhd.webm (1080x606) [30.5 MB] || Jakobshavn_1080p30.webm (1920x1080) [15.9 MB] || final_composite (1920x1080) [0 Item(s)] || Jakobshavn_720p30.mp4 (1280x720) [110.0 MB] || Jakobshavn_1080p30.mp4 (1920x1080) [201.3 MB] || Jakobshavn_youtube_1080p.mp4 (1920x1080) [241.5 MB] || captions_silent.26988.en_US.srt [43 bytes] || captions_silent.26988.en_US.vtt [56 bytes] || Jakobshavn_1080p30.mp4.hwshow [184 bytes] || ",
"hits": 47
},
{
"id": 13151,
"url": "https://svs.gsfc.nasa.gov/13151/",
"result_type": "Produced Video",
"release_date": "2019-02-25T16:00:00-05:00",
"title": "Five Years of GPM Storms",
"description": "Music provided by Killer Tracks: \"Life Defrosts,\" \"Revolutions Are Infinite,\" \"Formulas and Equations\"Complete transcript available. || GPM_5_text.png (1896x1064) [1.7 MB] || GPM_5_text_print.jpg (1024x574) [91.7 KB] || GPM_5_text_searchweb.png (180x320) [89.0 KB] || GPM_5_text_thm.png (80x40) [6.0 KB] || GPM_5_prores.mov (1920x1080) [3.8 GB] || GPM_5_Years.mp4 (1920x1080) [292.3 MB] || GPM_5_prores.webm (1920x1080) [35.1 MB] || GPM_Five.en_US.srt [5.4 KB] || GPM_Five.en_US.vtt [5.4 KB] || ",
"hits": 22
},
{
"id": 4621,
"url": "https://svs.gsfc.nasa.gov/4621/",
"result_type": "Visualization",
"release_date": "2018-12-10T12:01:00-05:00",
"title": "El Yunque National Forest, Puerto Rico Canopy Change Nadir View (2017-2018)",
"description": "Animation that does of a low fly over of El Yunque National Forest, Puerto Rico. The entire animation is split screen showing the 2017 data on top and 2018 on bottom. Notice the dense lush forest canopy in 2017 and how it covers and shades much of the forest floor. However, in 2018, after Maria devastated the forest in late 2017, the tree canopy has been greatly thinned exposing much more of the forest floor. || evzoom_comp4.0300_print.jpg (1024x576) [316.8 KB] || evzoom_comp4.0300_searchweb.png (320x180) [121.7 KB] || evzoom_comp4.0300_thm.png (80x40) [7.3 KB] || Sample_Composite (1920x1080) [0 Item(s)] || evzoom_comp4_1080p30.webm (1920x1080) [15.4 MB] || evzoom_comp4_1080p30.mp4 (1920x1080) [199.0 MB] || evzoom_comp4_1080p30.mp4.hwshow [186 bytes] || ",
"hits": 31
},
{
"id": 4624,
"url": "https://svs.gsfc.nasa.gov/4624/",
"result_type": "Visualization",
"release_date": "2018-12-10T12:00:00-05:00",
"title": "El Yunque National Forest, Puerto Rico Canopy Change from Afar (2017-2018)",
"description": "Sample Composite that split screens the lidar swath over the El Yunque National Forest, Puerto Rico. During the split screen, 2017 data is on the upper left and 2018 data on the bottom right. As the camera moves northwest, the viewer can see patches of ground becoming visible in the 2018 data. This is due to the vast numbers of trees that were stripped or fell during Hurricane Maria in September 2017. || el_verde_comp.0190_print.jpg (1024x576) [368.1 KB] || el_verde_comp.0800.png (1920x1080) [3.0 MB] || el_verde_comp.0190_searchweb.png (320x180) [115.9 KB] || el_verde_comp.0190_thm.png (80x40) [6.0 KB] || Sample_Composite (1920x1080) [0 Item(s)] || el_verde_comp_1080p30.webm (1920x1080) [11.9 MB] || el_verde_comp.0800.tif (1920x1080) [5.9 MB] || el_verde_comp_1080p30.mp4 (1920x1080) [247.1 MB] || el_verde_comp_1080p30.mp4.hwshow [187 bytes] || ",
"hits": 36
},
{
"id": 4576,
"url": "https://svs.gsfc.nasa.gov/4576/",
"result_type": "Visualization",
"release_date": "2018-12-10T00:00:00-05:00",
"title": "El Yunque National Forest, Puerto Rico Canopy Change Up Close (2017-2018)",
"description": "Sample composite that shows a split screen of 2017 and 2018 lidar data over El Yunque National Forest, Puerto Rico. As the animation plays, one can see a distinct difference between the fullness of the 2017 forest canopy versus the much sparser 2018 canopy. This difference is most noticable around rivers and streams where the neighboring forest canopy was stripped away by Hurricane Maria exposing much more of the water banks. || el_verde_zoom_comp2.2800_print.jpg (1024x576) [305.6 KB] || Sample_Composite (1920x1080) [0 Item(s)] || el_verde_zoom_comp2_1080p30_2.webm (1920x1080) [21.8 MB] || el_verde_zoom_comp2_1080p30_2.mp4 (1920x1080) [338.7 MB] || el_verde_zoom_comp2_1080p30_2.mp4.hwshow [195 bytes] || ",
"hits": 29
},
{
"id": 12945,
"url": "https://svs.gsfc.nasa.gov/12945/",
"result_type": "Produced Video",
"release_date": "2018-11-06T12:00:00-05:00",
"title": "Living Planet",
"description": "Twenty years of life on Earth. || slow_spin_4k.5542_print.jpg (1024x576) [83.1 KB] || slow_spin_4k.5542_print_print.jpg (1024x576) [69.4 KB] || slow_spin_4k.5542_print_searchweb.png (180x320) [64.5 KB] || slow_spin_4k.5542_print_thm.png (80x40) [4.2 KB] || ",
"hits": 47
},
{
"id": 4685,
"url": "https://svs.gsfc.nasa.gov/4685/",
"result_type": "Visualization",
"release_date": "2018-10-04T09:55:00-04:00",
"title": "Inside Hurricane Maria in 360°",
"description": "Tour Hurricane Maria in a whole new way! Late on September 17, 2017 (10:08 p.m. EDT) Category 1 Hurricane Maria was strengthening in the Atlantic Ocean when the Global Precipitation Measurement (GPM) mission's Core Observatory flew over it. The Dual Frequency Precipitation Radar, measuring in a narrow band over the storm center, shows 3-D estimates of rain, with snow at higher altitudes. The tall \"hot towers\" characteristic of deepening hurricanes are actually topped by snow! Surface rainfall rates estimated by the GPM Microwave Imager paint the surface over a wider swath. During the tour, you'll see the radar-observed rain intensities displayed three different ways in various parts of the storm. Then, for the first time you'll see estimates of the precipitation particle sizes, which the GPM DPR is uniquely capable of showing, and which provide important insights into storm processes.GPM is a joint mission between NASA and the Japanese space agency JAXA. || ",
"hits": 52
},
{
"id": 13079,
"url": "https://svs.gsfc.nasa.gov/13079/",
"result_type": "Produced Video",
"release_date": "2018-10-04T09:00:00-04:00",
"title": "Inside Hurricane Maria in 360°",
"description": "Two days before Hurricane Maria devastated Puerto Rico, the NASA-Japan Global Precipitation Measurement Core Observatory satellite captured a 3-D view of the storm. At the time Maria was a Category 1 hurricane. The 3-D view reveals the processes inside the hurricane that would fuel the storm’s intensification to a category 5 within 24 hours.For the first time in 360-degrees, this data visualization takes you inside the hurricane. The precipitation satellite has an advanced radar that measures both liquid and frozen water. The brightly colored dots show areas of rainfall, where green and yellow show low rates and red and purple show high rates. At the top of the hurricane, where temperatures are colder, blue and purple dots show light and heavy frozen precipitation. The colored areas below the dots show how much rain is falling at the surface. Created by: NASA's Scientific Visualization Studio and NASA's Goddard Space Flight CenterData Sources:• NASA/GPM Dual Precipitation Radar (DPR) precipitation rate and drop size distribution data• NASA/GPM GPM Microwave Imager (GMI) ground precipitation data• NASA/Bluemarble land imagery• NOAA/GOES16 cloud data• Hipparcos/Telescope/Tycho 2 Catalogue || ",
"hits": 75
},
{
"id": 4634,
"url": "https://svs.gsfc.nasa.gov/4634/",
"result_type": "Visualization",
"release_date": "2018-06-28T09:00:00-04:00",
"title": "Global Fire Weather Database",
"description": "The Global Fire WEather Database (GFWED) integrates different weather factors influencing the likelihood of a vegetation fire starting and spreading. It is based on the Fire Weather Index (FWI) System, which tracks the dryness of three general fuel classes, and the potential behavior of a fire if it were to start. Each day, FWI values are calculated from global weather data, including satellite rainfall data from the Global Precipitation Measurement (GPM) mission.The FWI System is the most widely used fire danger rating system in the world, and has been adopted for different boreal, temperate and tropical fire environments. GFWED provides a globally consistent fire weather dataset for fire researchers and managers to apply locally. The Fire Weather Index component is suitable as a general index of fire danger. Globally, shifts in continental-scale fire activity follow seasonal changes in the FWI. Over South America and Africa, regions of high FWI and active agricultural burning shift with the tropical rain belts, seen in the GPM precipitation overlay. Over North America and Eurasia, the FWI will ‘activate’ in the spring, and shows how week-to-week surges in fire activity can be driven by high FWI values. || ",
"hits": 104
},
{
"id": 4650,
"url": "https://svs.gsfc.nasa.gov/4650/",
"result_type": "Visualization",
"release_date": "2018-06-12T11:00:00-04:00",
"title": "Brazilian Rainforest Logged Area Canopy Change 2013-2016",
"description": "This data visualization starts with an airplane collecting lidar over a flat plane. As the data is collected a strip of the 2013 Brazilian rainforest canopy can be seen. Once the plane flies past, we spin the camera around to get a better view of the treetop canopy data. We then highlight areas of the canopy that will undergo significant change from 2013 to 2016. Finally, we allow those highlighted areas (ie, trees and tree branches) to fall the the ground, revealing the new 2016 forest canopy. || logged_v84_comp.0500_print.jpg (1024x576) [280.1 KB] || logged_v84_comp.0500_searchweb.png (320x180) [100.0 KB] || logged_v84_comp.0500_thm.png (80x40) [6.7 KB] || logged_v84_comp_1080p30.mp4 (1920x1080) [32.8 MB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || logged_v84_comp_1080p30.webm (1920x1080) [2.6 MB] || logged_v84_comp_1080p30.mp4.hwshow [189 bytes] || ",
"hits": 24
},
{
"id": 4651,
"url": "https://svs.gsfc.nasa.gov/4651/",
"result_type": "Visualization",
"release_date": "2018-06-12T11:00:00-04:00",
"title": "Brazilian Rainforest Area Canopy Change 2013-2014-2016",
"description": "This data visualization starts in 2013 with an airplane collecting lidar data. As the plane flies overhead, the viewer finds themselves amongst the recently collected treetop canopy. The viewer then moves forward through the canopy eventually lifting up to get a birds eye view of the recently collected strip of data points (represented as leaf-like shapes). Areas of change from 2013 to 2014 are then highlighted and the data transitions to what the canopy looked like in 2014. Areas of change between 2014 to 2016 are then highlighted before the data transitions again to what the canopy looked like in 2016. Each successive change allows scientists to carefully monitor the turn over rate of foliage over this three year period. || nologging_v87.0410_print.jpg (1024x576) [85.0 KB] || nologging_v87.0410_searchweb.png (320x180) [51.7 KB] || nologging_v87.0410_thm.png (80x40) [5.1 KB] || nologging_v87_comp_1080p30.mp4 (1920x1080) [46.2 MB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || nologging_v87_comp_1080p30.webm (1920x1080) [4.3 MB] || nologging_v87_comp_1080p30.mp4.hwshow [192 bytes] || ",
"hits": 19
},
{
"id": 4652,
"url": "https://svs.gsfc.nasa.gov/4652/",
"result_type": "Visualization",
"release_date": "2018-06-12T11:00:00-04:00",
"title": "Brazilian Rainforest Canopy Change at Mission Start 2013-2014-2016",
"description": "This data visualization starts in 2013 with an airplane collecting lidar data. As the plane flies overhead, the stationary viewer finds themselves amongst the recently collected treetop canopy. The viewer then drifts upward getting a better view of the beginning of the data swath. Areas that change between 2013 and 2014 are then highlighted and the data transitions fully to what the canopy looked like in 2014. Next, areas of change between 2014 to 2016 are highlighted and then fully transition to the canopy in 2016. Being able to see this level of change allows scientists to carefully monitor the foliage turnover rate in this remote part of the world. || stillcam5_comp.0690_print.jpg (1024x576) [217.2 KB] || stillcam5_comp.0690_searchweb.png (320x180) [66.4 KB] || stillcam5_comp.0690_thm.png (80x40) [4.3 KB] || stillcam5_comp_1080p30.mp4 (1920x1080) [41.9 MB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || stillcam5_comp_1080p30.webm (1920x1080) [3.1 MB] || stillcam5_comp_1080p30.mp4.hwshow [188 bytes] || ",
"hits": 28
},
{
"id": 4642,
"url": "https://svs.gsfc.nasa.gov/4642/",
"result_type": "Visualization",
"release_date": "2018-05-07T00:00:00-04:00",
"title": "Kepler's Laws of Planetary Motion Described Using Earth Satellites",
"description": "This visualization introduces Kepler’s three laws of planetary motion using satellites in orbit around Earth. Several satellite orbits of varying characteristics are examined to see how Kepler’s laws apply. This version includes titles and labels. This video is also available on our YouTube channel. || KeplersLaws_wTitles_5890_print.jpg (1024x576) [61.8 KB] || KeplersLaws_wTitles_5890_searchweb.png (320x180) [24.3 KB] || KeplersLaws_wTitles_5890_thm.png (80x40) [3.6 KB] || KeplersLaws_wTitles (1920x1080) [0 Item(s)] || KeplersLaws_wTitles_1080p30.mp4 (1920x1080) [70.0 MB] || KeplersLaws_wTitles_1080p30.webm (1920x1080) [29.5 MB] || captions_silent.25417.en_US.srt [43 bytes] || captions_silent.25417.en_US.vtt [56 bytes] || ",
"hits": 404
},
{
"id": 4631,
"url": "https://svs.gsfc.nasa.gov/4631/",
"result_type": "Visualization",
"release_date": "2018-04-26T10:00:00-04:00",
"title": "Global Landslide Hazard Assessment Model (LHASA) with Global Landslide Catalog (GLC) data",
"description": "Landslides occur when an environmental trigger like an extreme rain event, often a severe storm or hurricane, and gravity's downward pull sets soil and rock in motion. Conditions beneath the surface are often unstable already, so the heavy rains act as the last straw that causes mud, rocks, or debris- or all combined- to move rapidly down mountains and hillsides. Unfortunately, people and property are often swept up in these unexpected mass movements. Landslides can also be caused by earthquakes, surface freezing and thawing, ice melt, the collapse of groundwater reservoirs, volcanic eruptions, and erosion at the base of a slope from the flow of river or ocean water. But torrential rains most commonly activate landslides. A new model has been developed to look at how potential landslide activity is changing around the world. A global Landslide Hazard Assessment model for Situational Awareness (LHASA) has been developed to provide an indication of where and when landslides may be likely around the world every 30min. This model uses surface susceptibility (including slope, vegetation, road networks, geology, and forest cover loss) and satellite rainfall data from the Global Precipitation Measurement (GPM) mission to provide moderate to high “nowcasts.” This visualization shows the landslide nowcast results leveraging nearly two decades of Tropical Rainfall Measurement Mission (TRMM) rainfall over 2001-2016 to identify a landslide climatology by month at a 1 km grid cell. The average nowcast values by month highlight the key landslide hotspots, such as the Southeast Asia during the monsoon season in June through August and the U.S. Pacific Northwest in December and January. Overlaid with these nowcasts values are a Global Landslide Catalog (GLC) was developed with the goal of identifying rainfall-triggered landslide events around the world, regardless of size, impact, or location. The GLC considers all types of mass movements triggered by rainfall, which have been reported in the media, disaster databases, scientific reports, or other sources. The visualization shows the distribution of landslides each month based on the estimated number of fatalities the event caused. The GLC has been compiled since 2007 at NASA Goddard Space Flight Center and contains over 11,000 reports and growing. A new project called the Community the Cooperative Open Online Landslide Repository, or COOLR, provides the opportunity for the community to view landslide reports and contribute their own. The goal of the COOLR project is to create the largest global public online landslide catalog available and open to for anyone everyone to share, download, and analyze landslide information. More information on this system is available at: https://landslides.nasa.govThe Global Landslide Catalog is currently available here: https://catalog.data.gov/dataset/global-landslide-catalog-export || ",
"hits": 176
},
{
"id": 4640,
"url": "https://svs.gsfc.nasa.gov/4640/",
"result_type": "Visualization",
"release_date": "2018-04-25T12:00:00-04:00",
"title": "Close-up Views of the Global Landslide Hazard Assessment Model (LHASA) overlaid with Global Landslide Catalog (GLC) data",
"description": "A close-up view of the potential landslide activity during July in Southeast Asia as evaluated by NASA's Landslide Hazard Assessment model for Situational Awareness. In the Download tab to the right, a set of 12 still images provides high-resolution (9,600x5,400) global maps to allow for close-up views in any location around the world. The images showcase the landslide climatology by month overload with the distribution of reported landslide fatalities for the period 2007-2017. || 07_ClimatologyMonthlyFatalities_032818_Asia_CloseUp_print.jpg (1024x576) [188.1 KB] || 07_ClimatologyMonthlyFatalities_032818_Asia_CloseUp_searchweb.png (320x180) [84.5 KB] || 07_ClimatologyMonthlyFatalities_032818_Asia_CloseUp_thm.png (80x40) [7.7 KB] || 07_ClimatologyMonthlyFatalities_032818_Asia_CloseUp.tif (1920x1080) [7.9 MB] || MonthlyClimatologyFatalities (9600x5400) [0 Item(s)] || ",
"hits": 44
},
{
"id": 12718,
"url": "https://svs.gsfc.nasa.gov/12718/",
"result_type": "Produced Video",
"release_date": "2018-04-16T12:00:00-04:00",
"title": "Tracking El Niño",
"description": "Follow changes in sea surface temperature and ocean currents during El Niño. || GMAO_elNino_oceanTemperatureAnomaly_currents__0191_1024x576.jpg (1024x576) [115.4 KB] || GMAO_elNino_oceanTemperatureAnomaly_currents__0191_1920x1080.jpg (1920x1080) [360.7 KB] || GMAO_elNino_oceanTemperatureAnomaly_currents__0191_searchweb.png (320x180) [78.9 KB] || GMAO_elNino_oceanTemperatureAnomaly_currents__0191_thm.png (80x40) [6.2 KB] || GMAO_elNino_oceanTemperatureAnomaly_currents__0191.tif (3840x2160) [23.7 MB] || ",
"hits": 130
},
{
"id": 12897,
"url": "https://svs.gsfc.nasa.gov/12897/",
"result_type": "Produced Video",
"release_date": "2018-03-22T10:30:00-04:00",
"title": "New NASA Model Finds Landslide Threats in Near Real-Time During Heavy Rains",
"description": "A new model has been developed to look at how potential landslide activity is changing around the world. A global Landslide Hazard Assessment model for Situational Awareness (LHASA) has been developed to provide an indication of where and when landslides may be likely around the world every 30 minutes. This model uses surface susceptibility (including slope, vegetation, road networks, geology, and forest cover loss) and satellite rainfall data from the Global Precipitation Measurement (GPM) mission to provide moderate to high “nowcasts.” This visualization shows the landslide nowcast results leveraging nearly two decades of Tropical Rainfall Measurement Mission (TRMM) rainfall over 2001-2016 to identify a landslide climatology by month at a 1 km grid cell. The average nowcast values by month highlight the key landslide hotspots, such as the Southeast Asia during the monsoon season in June through August and the U.S. Pacific Northwest in December and January. Overlaid with these nowcasts values are a Global Landslide Catalog(GLC) that was developed with the goal of identifying rainfall-triggered landslide events around the world, regardless of size, impact, or location. The GLC considers all types of mass movements triggered by rainfall, which have been reported in the media, disaster databases, scientific reports, or other sources. The visualization shows the distribution of landslides each month based on the estimated number of fatalities the event caused. The GLC has been compiled since 2007 at NASA's Goddard Space Flight Center and contains over 11,000 reports and growing. A new project called the Community the Cooperative Open Online Landslide Repository, or COOLR, provides the opportunity for the community to view landslide reports and contribute their own. The goal of the COOLR project is to create the largest global public online landslide catalog available and open to for anyone everyone to share, download, and analyze landslide information. More information on this system is available at: https://landslides.nasa.gov. Landslides occur when an environmental trigger like an extreme rain event, often a severe storm or hurricane, and gravity's downward pull sets soil and rock in motion. Conditions beneath the surface are often unstable already, so the heavy rains act as the last straw that causes mud, rocks, or debris- or all combined- to move rapidly down mountains and hillsides. Unfortunately, people and property are often swept up in these unexpected mass movements. Landslides can also be caused by earthquakes, surface freezing and thawing, ice melt, the collapse of groundwater reservoirs, volcanic eruptions, and erosion at the base of a slope from the flow of river or ocean water. But torrential rains most commonly activate landslides.For more information: https://www.nasa.gov/feature/goddard/2018/new-from-nasa-tracking-landslide-hazards-new-nasa-model-finds-landslide-threats-in-near-real || ",
"hits": 116
},
{
"id": 4633,
"url": "https://svs.gsfc.nasa.gov/4633/",
"result_type": "Visualization",
"release_date": "2018-03-22T10:00:00-04:00",
"title": "Landslide Activity in the Americas for the Cover of Earth's Future",
"description": "A view of the potential landslide activity during January in the Americas, as evaluated by NASA's Landslide Hazard Assessment model for Situational Awareness (LHASA). This still image is provided in 300dpi (print resolution) and in separate layers (water, data, land, outlines). || ClimatologyJanuary_Cover_Light_Layers_Preview_print.jpg (1024x1024) [125.1 KB] || ClimatologyJanuary_Cover_Light_Layers_Preview.png (2550x2550) [2.5 MB] || ClimatologyJanuary_Cover_Light_Layers_Preview_searchweb.png (320x180) [34.2 KB] || ClimatologyJanuary_Cover_Light_Layers_Preview_thm.png (80x40) [3.4 KB] || ClimatologyJanuary_Cover_Light_Layers_300dpi.tif (2550x2550) [16.4 MB] || ",
"hits": 25
},
{
"id": 4616,
"url": "https://svs.gsfc.nasa.gov/4616/",
"result_type": "Visualization",
"release_date": "2018-03-13T00:00:00-04:00",
"title": "Disappearing Ice",
"description": "This visualization begins by showing the dynamic beauty of the Arctic sea ice as it responds to winds and ocean currents. Research into the behavior of the Arctic sea ice for the last 30 years has led to a deeper understanding of how this ice survives from year to year. In the animation that follows, age of the sea ice is visible, showing the younger ice in darker shades of blue and the oldest ice in brighter white. This visual representation of the ice age clearly shows how the quantity of older and thicker ice has changed between 1984 and 2016.Complete transcript available.This video is also available on our YouTube channel. || Arctic_Sea_Ice_Age.6140_print.jpg (1024x576) [145.3 KB] || Arctic_Sea_Ice_Age.6140_searchweb.png (320x180) [69.8 KB] || Arctic_Sea_Ice_Age.6140_thm.png (80x40) [6.0 KB] || Arctic_Sea_Ice_Age_rev1_1080p30_wAudio.webm (1920x1080) [27.2 MB] || Arctic_Sea_Ice_Age_rev1_1080p30_wAudio.mp4 (1920x1080) [183.5 MB] || SeaIceAge_comp_final (3840x2160) [0 Item(s)] || a004616_captions.en_US.srt [3.9 KB] || a004616_captions.en_US.vtt [3.9 KB] || Disappearing_Ice.aif [38.1 MB] || Arctic_Sea_Ice_Age_rev1.2160p30_wAudio.mp4 (3840x2160) [258.5 MB] || Arctic_Sea_Ice_Age_YTube.2160p30_wAudio.mp4 (3840x2160) [978.3 MB] || Final_seaIceAge_Prores_withAudio.mov (3840x2160) [14.3 GB] || Arctic_Sea_Ice_Age_rev1_1080p30_wAudio.mp4.hwshow [204 bytes] || ",
"hits": 406
},
{
"id": 4600,
"url": "https://svs.gsfc.nasa.gov/4600/",
"result_type": "Visualization",
"release_date": "2018-01-31T00:00:00-05:00",
"title": "Sixty Years of Earth Observations: from Explorer-1 (1958) to CYGNSS (2017)",
"description": "Earth observing spacecraft from Explorer-1 to CYGNSSThis video is also available on our YouTube channel. || explorer1_68_1920x1080.09999_print.jpg (1024x576) [149.7 KB] || explorer1_68_1920x1080.09999_searchweb.png (320x180) [76.7 KB] || explorer1_68_1920x1080.09999_thm.png (80x40) [5.8 KB] || explorer1_68_1920x1080_p60.mp4 (1920x1080) [73.6 MB] || firsts (1920x1080) [0 Item(s)] || explorer1_68_1920x1080_p30.webm (1920x1080) [35.9 MB] || explorer1_68_1920x1080_p30.mp4 (1920x1080) [124.5 MB] || explorer1_68_1920x1080.1080p30.mp4 (1920x1080) [128.5 MB] || 9600x3240_16x9_30p (9600x3240) [0 Item(s)] || 3840x2160_16x9_60p (3840x2160) [0 Item(s)] || explorer1_68_3840x2160_p30.mp4 (3840x2160) [461.5 MB] || ",
"hits": 136
},
{
"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": 21
},
{
"id": 4601,
"url": "https://svs.gsfc.nasa.gov/4601/",
"result_type": "Visualization",
"release_date": "2017-12-18T11:00:00-05:00",
"title": "Jupiter Quasi-Quadrennial Oscillation",
"description": "Climate patterns on Jupiter can have striking similarities to those on Earth, making the gas giant a natural laboratory for understanding planetary atmospheres. Complete transcript available.Watch this video on the NASA Goddard YouTube channel.Music provided by Killer Tracks: \"Lights,\" \"Times Waits,\" \"The Space Between\" || JupiterQQOpreview.jpg (1920x1080) [456.5 KB] || TWITTER_720_4601_Jupiter_QQO_Master_APR_twitter_720.mp4 (1280x720) [37.7 MB] || 4601_Jupiter_QQO_Master.webm (960x540) [72.7 MB] || FACEBOOK_720_4601_Jupiter_QQO_Master_APR_facebook_720.mp4 (1280x720) [218.0 MB] || YOUTUBE_HQ_4601_Jupiter_QQO_Master_APR_youtube_hq.mov (1920x1080) [875.9 MB] || 4601_Jupiter_QQO_Master_APR_Output.en_US.srt [3.8 KB] || 4601_Jupiter_QQO_Master_APR_Output.en_US.vtt [3.8 KB] || 4601_Jupiter_QQO_Master_APR.mov (1920x1080) [2.4 GB] || ",
"hits": 63
},
{
"id": 4597,
"url": "https://svs.gsfc.nasa.gov/4597/",
"result_type": "Visualization",
"release_date": "2017-11-16T15:00:00-05:00",
"title": "Earth: Our Living Planet (Updated)",
"description": "Twenty years of global biosphere data mapped on a slowly spinning globe. || slow_spin_4k.5542_print.jpg (1024x576) [83.1 KB] || slow_spin_4k.5542_searchweb.png (320x180) [48.3 KB] || slow_spin_4k.5542_thm.png (80x40) [4.4 KB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || slow_spin_1080p30.webm (1920x1080) [17.8 MB] || slow_spin_1080p30.mp4 (1920x1080) [119.2 MB] || 3840x2160_16x9_30p (3840x2160) [0 Item(s)] || slow_spin_4k.mp4 (3840x2160) [397.0 MB] || ",
"hits": 61
},
{
"id": 4596,
"url": "https://svs.gsfc.nasa.gov/4596/",
"result_type": "Visualization",
"release_date": "2017-11-14T17:00:00-05:00",
"title": "20 Years of Global Biosphere (updated)",
"description": "This Mollweide projected data visualization shows 20 years of Earth's biosphere starting in September 1997 going through September 2017. Data for this visualization was collected from multiple satellites over the past twenty years. || biosphere7_mollweide.4507_print.jpg (576x1024) [192.2 KB] || biosphere7_mollweide.4507_searchweb.png (180x320) [91.0 KB] || biosphere7_mollweide.4507_thm.png (80x40) [7.4 KB] || mollweide_annotated (1920x1080) [0 Item(s)] || biosphere7_mollweide_1080p30.webm (1920x1080) [17.8 MB] || biosphere7_mollweide_1080p30.mp4 (1920x1080) [264.8 MB] || biosphere7_mollweide_1080p30.mp4.hwshow || ",
"hits": 104
},
{
"id": 4563,
"url": "https://svs.gsfc.nasa.gov/4563/",
"result_type": "Visualization",
"release_date": "2017-11-13T13:00:00-05:00",
"title": "Ocean flows at surface and 2000 meters below sea level",
"description": "Visualization showing global ocean currents from Jan 01, 2010 to Dec 31, 2012 at sea level then at 2000 meters below sea level. || final01_world_current.1000_print.jpg (1024x576) [241.7 KB] || final01_world_current.1000_searchweb.png (320x180) [103.0 KB] || final01_world_current.1000_thm.png (80x40) [7.1 KB] || global (1920x1080) [0 Item(s)] || final01_world_current.webm (1920x1080) [6.4 MB] || final01_world_current.mp4 (1920x1080) [100.7 MB] || final01_world_current.m4v (640x360) [13.5 MB] || final01_world_current.mp4.hwshow [187 bytes] || ",
"hits": 112
},
{
"id": 4590,
"url": "https://svs.gsfc.nasa.gov/4590/",
"result_type": "Visualization",
"release_date": "2017-10-27T00:00:00-04:00",
"title": "Southern Africa Drought",
"description": "When a giant swell of warm water, known as El Niño emerged in the Pacific Ocean in 2015, scientists knew to look for impacts. As El Niño changed global weather patterns Southern Africa went into severe drought. On top of already dry conditions, the region experienced its lowest rainfall in 35 years.With the Soil Moisture Active Passive (SMAP) mission, launched in 2015, NASA has dedicated soil moisture measurements for the first time – and could see this severe drought emerging. SMAP's highly sensitive microwave radiometer detects the energy emitted by soil depending on how wet or how dry it is. The old gardener's trick is to squeeze a handful of dirt in your hand and see whether it clumps or falls apart. Think of SMAP doing the same thing – with a lot more precision, all around the world, every 3 days.SMAP allowed us to see a connection between Pacific Ocean water temperatures and the moisture of the soil in Southern Africa. These measurements are now being put to operational use more than ever. SMAP's data was fed into the USDA's global crop yield forecasts – the Foreign Agriculture Service reports that help drive multi-billion dollar commodity markets around the world. In fact, the Foreign Ag Service scientist for this region said that with SMAP they now have the first reliable soil moisture data in 30 years.As crops failed and soils were left bare, we used the Terra and Aqua satellites to assess these effects on the vegetation from a local to regional scale. The Normalized Differential Vegetation Index (NDVI) reflects the health of vegetation on the land surface.As this drought spread across Southern Africa, nearly 30 million people were at risk of drastic food shortages. Four out of 10 people did not have access to clean drinking water.The analyses and data provided by NASA scientists are also critical to a USAID program called the Famine Early Warning Systems Network. As food crises arise, the global view provided by NASA scientists informs decisions about where governments and relief agencies should send help.In Southern Africa in 2015 and 2016, nearly 350 million dollars of emergency water and food aid were delivered, in part based on NASA data, to aid millions of people.As the peak of the drought hits in January 2016, the animations show the low soil moisture conditions in Zambia, Zimbabwe, and Botswana. Correspondingly the low vegetation appears in that region as well. || ",
"hits": 29
},
{
"id": 12702,
"url": "https://svs.gsfc.nasa.gov/12702/",
"result_type": "Produced Video",
"release_date": "2017-10-16T12:00:00-04:00",
"title": "Slicing Through Hurricane Matthew",
"description": "Explore how scientists use different data sets to study impacts of 2016's Hurricane Matthew. || 00STORYCOVER.jpg (1024x576) [189.6 KB] || 00STORYCOVER_searchweb.png (320x180) [124.6 KB] || 00STORYCOVER_thm.png (80x40) [8.2 KB] || ",
"hits": 35
},
{
"id": 4591,
"url": "https://svs.gsfc.nasa.gov/4591/",
"result_type": "Visualization",
"release_date": "2017-10-10T16:00:00-04:00",
"title": "GPM Catches Hurricane Nate's Landfall...Twice",
"description": "NASA's GPM satellite helped track Nate's progress through the Gulf of Mexico and also captured Nate's landfall on the north central Gulf Coast. This animation shows instantaneous rainrate estimates from NASA's Integrated Multi-satellitE Retrievals for GPM or IMERG product over North America and the surrounding waters beginning on Thursday October 5th when Nate first became a tropical storm near the northeast coast of Nicaragua in the western Caribbean until its eventual landfall on the northern Gulf Coast on Sunday October 8th. IMERG estimates precipitation from a combination of space-borne passive microwave sensors, including the GMI microwave sensor onboard the GPM core satellite, and geostationary IR (infrared) data. The animation shows Nate moving rapidly northward through the Gulf of Mexico on the 7th. Nate's rapid movement from 20 to as much as 26 mph did not allow the storm much time to strengthen despite being over very warm waters and in a relatively low wind shear environment. Nate reached a peak intensity of 90 mph sustained winds, which it maintained while passing over the Gulf of Mexico, but it did not intensify any further before making landfall. The animation also shows two 3D flyby's of Nate captured by the GPM core satellite as it overflew the storm just before landfall at 22:58 UTC (5:58 CDT) on Saturday October 7th and again at 08:42 UTC (3:42 CDT) on Sunday October 8th soon after Nate's second landfall. The 3D precipitation tops (shown in blue) are from GPM's DPR as are the vertical cross sections of precipitation intensity. The first overpass shows that Nate is a very asymmetric storm with most of the rainbands associated with Nate located north and east of the center. With it's rapid movement, Nate was unable to fully develop and lacks the classic ring of intense thunderstorms associated a fully developed eyewall. Although overall much the same, the second overpass shows an area of deep, intense convection producing heavy rains over southwest Alabama. || nate.1890_print.jpg (1024x576) [166.6 KB] || nate.1890_searchweb.png (320x180) [92.3 KB] || nate.1890_thm.png (80x40) [7.5 KB] || nate.mp4 (1920x1080) [37.1 MB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || nate.webm (1920x1080) [5.1 MB] || nate.mp4.hwshow [170 bytes] || ",
"hits": 17
},
{
"id": 4586,
"url": "https://svs.gsfc.nasa.gov/4586/",
"result_type": "Visualization",
"release_date": "2017-10-05T00:00:00-04:00",
"title": "Hurricane Tracks from 2017 with Precipitation and Cloud Data",
"description": "2017 Atlantic Hurricane season storm tracks with IMERG precipitation and GOES clouds (01 Aug 2017 to 31 Oct 2017) || hurricane_tracks2017_09cpc.2500_print.jpg (1024x576) [187.1 KB] || hurricane_tracks2017_09cpc.2500_searchweb.png (180x320) [111.1 KB] || hurricane_tracks2017_09cpc.2500_thm.png (80x40) [8.1 KB] || atlantic (1920x1080) [0 Item(s)] || hurricane_tracks2017_1920x1080.webm (1920x1080) [28.1 MB] || hurricane_tracks2017_1920x1080.mp4 (1920x1080) [504.9 MB] || 3840x2160_16x9_30p (3840x2160) [0 Item(s)] || hurricane_tracks2017_640x360p30.mp4 (640x360) [78.6 MB] || hurricane_tracks2017_4k.mp4 (3840x2160) [1.5 GB] || ",
"hits": 47
},
{
"id": 4587,
"url": "https://svs.gsfc.nasa.gov/4587/",
"result_type": "Visualization",
"release_date": "2017-10-05T00:00:00-04:00",
"title": "The Brown Ocean Effect",
"description": "Before Tropical Storm Bill made landfall over Texas, eastern Texas experienced several days of rain that began flooding areas to the south east and northern parts of the state. As Tropical Storm Bill moved northward through Texas it is hypothesized that it fed off the highly saturated ground (as if it were still over the ocean) and can be seen slightly intensifying (via winds) as it moved into Oklahoma and progressed to the northeast. || brown_ocean_v3.1016_print.jpg (1024x576) [267.9 KB] || brown_ocean_v3.1016_searchweb.png (320x180) [127.0 KB] || brown_ocean_v3.1016_thm.png (80x40) [7.8 KB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || brown_ocean_v3.webm (1920x1080) [17.0 MB] || brown_ocean_v3.mp4 (1920x1080) [245.0 MB] || brown_ocean_v3.mp4.hwshow [180 bytes] || ",
"hits": 110
}
]
}