{ "count": 94, "next": null, "previous": null, "results": [ { "id": 5570, "url": "https://svs.gsfc.nasa.gov/5570/", "result_type": "Visualization", "release_date": "2025-07-21T08:00:00-04:00", "title": "Spinning Earth with clouds, atmosphere, and night lights", "description": "**Please give credit for this item to:**\r\nNASA's Scientific Visualization Studio", "hits": 1456 }, { "id": 5436, "url": "https://svs.gsfc.nasa.gov/5436/", "result_type": "Visualization", "release_date": "2025-07-04T00:00:00-04:00", "title": "DYAMOND Global Carbon Dioxide for Science On A Sphere", "description": "This is the Science-on-a-Sphere version of svs.gsfc.nasa.gov/5196.SOS label file: dyamond_timestamps.txt ||", "hits": 73 }, { "id": 31327, "url": "https://svs.gsfc.nasa.gov/31327/", "result_type": "Hyperwall Visual", "release_date": "2024-12-23T12:30:00-05:00", "title": "GMAO – Topographic Resolution Over the Contiguous United States", "description": "TOPO resolution over CONUS || 3840x2160_16x9_30p [0 Item(s)] || Topo resolution over CONUS ||", "hits": 37 }, { "id": 31322, "url": "https://svs.gsfc.nasa.gov/31322/", "result_type": "Hyperwall Visual", "release_date": "2024-11-18T00:00:00-05:00", "title": "GMAO Modeled vs Observed Severe Storms", "description": "gmao-accun-uphelicity_print.jpg (1024x576) [182.6 KB] || gmao-accun-uphelicity.png (3840x2160) [2.7 MB] || gmao-accun-uphelicity_searchweb.png (320x180) [74.5 KB] || gmao-accun-uphelicity_thm.png (80x40) [4.7 KB] || gmao-accun-uphelicity_1080p30.mp4 (1920x1080) [2.8 MB] || gmao-accun-uphelicity_1080p30.webm (1920x1080) [818.6 KB] || gmao-accun-uphelicity_2160p30.mp4 (3840x2160) [7.7 MB] || GMAO Accun Uphelicity ||", "hits": 34 }, { "id": 31323, "url": "https://svs.gsfc.nasa.gov/31323/", "result_type": "Hyperwall Visual", "release_date": "2024-11-18T00:00:00-05:00", "title": "GOES East vs GMAO – Global GeoColor Imagery", "description": "gmao-plot-all-colorbars-goes-east-vs-gmao_print.jpg (1024x576) [168.6 KB] || gmao-plot-all-colorbars-goes-east-vs-gmao.png (3840x2160) [6.9 MB] || gmao-plot-all-colorbars-goes-east-vs-gmao_searchweb.png (320x180) [78.4 KB] || gmao-plot-all-colorbars-goes-east-vs-gmao_thm.png (80x40) [6.4 KB] || gmao-plot-all-colorbars-goes-east-vs-gmao_1080p30.mp4 (1920x1080) [12.9 MB] ||", "hits": 69 }, { "id": 31324, "url": "https://svs.gsfc.nasa.gov/31324/", "result_type": "Hyperwall Visual", "release_date": "2024-11-18T00:00:00-05:00", "title": "GMAO Band09 Obs Caribbean GMAO vs. GOES", "description": "GMAO Caribbean GOES vs GMAO || 3840x2160_16x9_30p [0 Item(s)] || GMAO Band09 Obs Caribbean GMAO vs. GOES ||", "hits": 23 }, { "id": 31325, "url": "https://svs.gsfc.nasa.gov/31325/", "result_type": "Hyperwall Visual", "release_date": "2024-11-18T00:00:00-05:00", "title": "GMAO vs GOES Radar Reflectivity", "description": "GMAO vs GOES Radar Reflectivity || 3840x2160_16x9_30p [0 Item(s)] || GMAO vs GOES Radar Reflectivity ||", "hits": 30 }, { "id": 31309, "url": "https://svs.gsfc.nasa.gov/31309/", "result_type": "Hyperwall Visual", "release_date": "2024-09-23T00:00:00-04:00", "title": "GEOS-FP May 2024 US Tornado Outbreak", "description": "Visualization of model output for severe weather in May 2024 in the US || us_tornadoes_sw-2024-003.nasa.gmao.geos-fp.conus_2km_replay.max_uphelicity.2160p_print.jpg (1024x576) [347.0 KB] || us_tornadoes_sw-2024-003.nasa.gmao.geos-fp.conus_2km_replay.max_uphelicity.2160p.png (3840x2160) [12.0 MB] || us_tornadoes_sw-2024-003.nasa.gmao.geos-fp.conus_2km_replay.max_uphelicity.2160p_searchweb.png (320x180) [121.1 KB] || us_tornadoes_sw-2024-003.nasa.gmao.geos-fp.conus_2km_replay.max_uphelicity.2160p_thm.png (80x40) [8.1 KB] || us_tornadoes_sw-2024-003.nasa.gmao.geos-fp.conus_2km_replay.max_uphelicity.1080p.webm (1080x1080) [10.9 MB] || us_tornadoes_sw-2024-003.nasa.gmao.geos-fp.conus_2km_replay.max_uphelicity.1080p.mp4 (1080x1080) [110.9 MB] || us_tornadoes_sw-2024-003.nasa.gmao.geos-fp.conus_2km_replay.max_uphelicity.2160p.mp4 (3840x2160) [350.6 MB] || ", "hits": 37 }, { "id": 5196, "url": "https://svs.gsfc.nasa.gov/5196/", "result_type": "Visualization", "release_date": "2024-07-22T09:00:00-04:00", "title": "DYAMOND Global Carbon Dioxide", "description": "Global CO2 ppm for January-March of 2020. This camera move orbits the Earth from a distance. || dyamondPointCloud_12-1-2023b_dyamond_co2_anim_globe_orbit_3x3Hyperwall.00200_print.jpg (1024x576) [46.2 KB] || dyamondPointCloud_12-1-2023b_dyamond_co2_anim_globe_orbit_3x3Hyperwall.00200_searchweb.png (320x180) [31.3 KB] || dyamondPointCloud_12-1-2023b_dyamond_co2_anim_globe_orbit_3x3Hyperwall.00200_web.png (320x180) [31.3 KB] || dyamondPointCloud_12-1-2023b_dyamond_co2_anim_globe_orbit_3x3Hyperwall.00200_thm.png (80x40) [3.0 KB] || dyamondPointCloud_12-1-2023b_dyamond_co2_anim_globe_orbit_1080p30_h265.mp4 (1920x1080) [6.9 MB] || dyamondPointCloud_12-1-2023b_dyamond_co2_anim_globe_orbit_3x3Hyperwall (5760x3240) [0 Item(s)] || dyamondPointCloud_12-1-2023b_dyamond_co2_anim_globe_orbit_2160p30.mp4 (3840x2160) [68.4 MB] || ", "hits": 2949 }, { "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": 104 }, { "id": 12772, "url": "https://svs.gsfc.nasa.gov/12772/", "result_type": "Produced Video", "release_date": "2021-05-05T10:25:00-04:00", "title": "2017 Hurricanes and Aerosols Simulation", "description": "Tracking aerosols over land and water from August 1 to November 1, 2017. Hurricanes and tropical storms are obvious from the large amounts of sea salt particles caught up in their swirling winds. The dust blowing off the Sahara, however, gets caught by water droplets and is rained out of the storm system. Smoke from the massive fires in the Pacific Northwest region of North America are blown across the Atlantic to the UK and Europe. This visualization is a result of combining NASA satellite data with sophisticated mathematical models that describe the underlying physical processes.Music: Elapsing Time by Christian Telford [ASCAP], Robert Anthony Navarro [ASCAP]Complete transcript available.Watch this video on the NASA Goddard YouTube channel. || 12772_hurricanes_and_aerosols_1080p_youtube_1080.00001_print.jpg (1024x576) [161.7 KB] || 12772_hurricanes_and_aerosols_1080p_youtube_1080.00001_searchweb.png (180x320) [108.8 KB] || 12772_hurricanes_and_aerosols_1080p_youtube_1080.00001_thm.png (80x40) [7.5 KB] || 12772_hurricanes_and_aerosols_appletv.m4v (1280x720) [78.1 MB] || 12772_hurricanes_and_aerosols_twitter_720.mp4 (1280x720) [34.1 MB] || 12772_hurricanes_and_aerosols.webm (960x540) [65.0 MB] || 12772_hurricanes_and_aerosols_appletv_subtitles.m4v (1280x720) [78.1 MB] || 12772_hurricanes_and_aerosols_1080p_large.mp4 (1920x1080) [163.1 MB] || 12772_hurricanes_and_aerosols_facebook_720.mp4 (1280x720) [184.9 MB] || 12772_hurricanes_and_aerosols_youtube_1080.mp4 (1920x1080) [247.2 MB] || 12772_hurricanes_and_aerosols_youtube_720.mp4 (1280x720) [247.9 MB] || 12772_hurricanes_aerosols_captions.en_US.srt [3.1 KB] || 12772_hurricanes_aerosols_captions.en_US.vtt [3.1 KB] || 12772_hurricanes_and_aerosols_UHD.mp4 (3840x2160) [739.9 MB] || 12772_hurricanes_and_aerosols_1080p-prores.mov (1920x1080) [4.3 GB] || 12772_hurricanes_and_aerosols_UHD_4444.mov (3840x2160) [40.1 GB] || ", "hits": 238 }, { "id": 13753, "url": "https://svs.gsfc.nasa.gov/13753/", "result_type": "Produced Video", "release_date": "2020-11-17T11:00:00-05:00", "title": "NASA Studies How COVID-19 Shutdowns Affect Emissions", "description": "Music: \"Lab Analysis\" from Universal Production MusicComplete transcript available.Coming soon to our YouTube channel. || Screen_Shot_2020-11-13_at_1.08.17_PM_print.jpg (1024x572) [164.1 KB] || Screen_Shot_2020-11-13_at_1.08.17_PM.png (3568x1994) [6.4 MB] || Screen_Shot_2020-11-13_at_1.08.17_PM_searchweb.png (320x180) [85.1 KB] || Screen_Shot_2020-11-13_at_1.08.17_PM_thm.png (80x40) [9.8 KB] || NASA_Studies_How_COVID-19_Shutdowns_Affect_Emissions.mp4 (1920x1080) [442.5 MB] || NASA_Studies_How_COVID-19_Shutdowns_Affect_Emissions.webm (1920x1080) [25.9 MB] || COVIDNO2.en_US.srt [4.4 KB] || COVIDNO2.en_US.vtt [4.4 KB] || ", "hits": 77 }, { "id": 31100, "url": "https://svs.gsfc.nasa.gov/31100/", "result_type": "Hyperwall Visual", "release_date": "2020-03-30T00:00:00-04:00", "title": "Global Transport of Smoke from Australian Bushfires", "description": "Animation of global aerosols from August 1, 2019 to January 29, 2020 || australia_fire_smoke_print.jpg (1024x576) [184.6 KB] || australia_fire_smoke.png (3840x2160) [8.2 MB] || australia_fire_smoke_searchweb.png (180x320) [104.5 KB] || australia_fire_smoke_thm.png (80x40) [7.7 KB] || australia_fire_smoke_720p.webm (1280x720) [11.3 MB] || australia_fire_smoke_1080p.mp4 (1920x1080) [228.5 MB] || AerosolFrames (10080x5043) [0 Item(s)] || AerosolFrames (5760x3240) [0 Item(s)] || australia_fire_smoke_2160p.mp4 (3840x2160) [688.8 MB] || ", "hits": 144 }, { "id": 13073, "url": "https://svs.gsfc.nasa.gov/13073/", "result_type": "Produced Video", "release_date": "2018-09-20T14:00:00-04:00", "title": "Rare Electric Blue Clouds Observed By NASA Balloon", "description": "On the cusp of our atmosphere live a thin group of seasonal electric blue clouds. Forming fifty miles above the poles in summer, these clouds are known as noctilucent clouds or polar mesospheric clouds — PMCs. A recent NASA long-duration balloon mission observed these clouds over the course of five days at their home in the mesosphere. The resulting photos, which scientists have just begun to analyze, will help us better understand turbulence in the atmosphere, as well as in oceans, lakes, and other planetary atmospheres, and may even improve weather forecasting.For more information: https://www.nasa.gov/feature/goddard/2018/nasa-balloon-mission-captures-electric-blue-clouds || ", "hits": 97 }, { "id": 12983, "url": "https://svs.gsfc.nasa.gov/12983/", "result_type": "Produced Video", "release_date": "2018-08-27T12:00:00-04:00", "title": "Dust in the Wind", "description": "Dust, salt and smoke swirling in the air tell a story of summer 2017. || CoverStill.png (1920x1080) [2.3 MB] || CoverStill_1024x576.jpg (1024x576) [130.9 KB] || CoverStill_print.jpg (1024x576) [140.9 KB] || CoverStill_searchweb.png (320x180) [110.4 KB] || CoverStill_thm.png (80x40) [7.7 KB] || ", "hits": 37 }, { "id": 30910, "url": "https://svs.gsfc.nasa.gov/30910/", "result_type": "Hyperwall Visual", "release_date": "2017-11-13T00:00:00-05:00", "title": "Simulation of Aerosols During the 2017 North Atlantic Hurricane Season", "description": "This animation shows the effects of hurricanes on dust, smoke, and sea salt. || plot_aerosols-northamerica_F517R06K-GEOS_06KM-REPLAY-20170915_1200_print.jpg (1024x567) [160.5 KB] || plot_aerosols-northamerica_F517R06K-GEOS_06KM-REPLAY-20170915_1200.png (5760x3190) [18.1 MB] || plot_aerosols-northamerica_F517R06K-GEOS_06KM-REPLAY-20170915_1200_searchweb.png (320x180) [108.2 KB] || plot_aerosols-northamerica_F517R06K-GEOS_06KM-REPLAY-20170915_1200_thm.png (80x40) [8.2 KB] || plot_aerosols-northamerica_720p.webm (1280x720) [35.3 MB] || plot_aerosols-northamerica_720p.mp4 (1280x720) [191.7 MB] || plot_aerosols-northamerica_1080p.mp4 (1920x1080) [369.7 MB] || ", "hits": 57 }, { "id": 30911, "url": "https://svs.gsfc.nasa.gov/30911/", "result_type": "Hyperwall Visual", "release_date": "2017-11-13T00:00:00-05:00", "title": "2017 North Atlantic Hurricane Season Simulation", "description": "GEOs model run showing 2017 Atlantic hurricane season || plot_ir4-goeseast_proj_F517R06K-GEOS_06KM-REPLAY-20170905_1745_print.jpg (1024x576) [98.0 KB] || plot_ir4-goeseast_proj_F517R06K-GEOS_06KM-REPLAY-20170905_1745.png (5760x3240) [5.5 MB] || plot_ir4-goeseast_proj_F517R06K-GEOS_06KM-REPLAY-20170905_1745_searchweb.png (320x180) [44.2 KB] || plot_ir4-goeseast_proj_F517R06K-GEOS_06KM-REPLAY-20170905_1745_thm.png (80x40) [3.8 KB] || plot_ir4-goeseast_proj_720p.webm (1280x720) [49.6 MB] || plot_ir4-goeseast_proj_720p.mp4 (1280x720) [156.3 MB] || ", "hits": 33 }, { "id": 30912, "url": "https://svs.gsfc.nasa.gov/30912/", "result_type": "Hyperwall Visual", "release_date": "2017-11-13T00:00:00-05:00", "title": "2017 North Atlantic Hurricane Season Simulation Compared With Observations", "description": "A video comparing model output and satellite imagery. || ir_compare2m-globe_F517R06K-F517R06K_20170801_0000_print.jpg (1024x547) [132.7 KB] || ir_compare2m-globe_F517R06K-F517R06K_20170801_0000.png (5760x3081) [5.8 MB] || ir_compare2m-globe_F517R06K-F517R06K_20170801_0000_searchweb.png (320x180) [60.4 KB] || ir_compare2m-globe_F517R06K-F517R06K_20170801_0000_thm.png (80x40) [5.7 KB] || ir_compare2m-globe_720p.webm (1280x720) [16.1 MB] || ir_compare2m-globe_720p.mp4 (1280x720) [198.3 MB] || ", "hits": 9 }, { "id": 30913, "url": "https://svs.gsfc.nasa.gov/30913/", "result_type": "Hyperwall Visual", "release_date": "2017-11-13T00:00:00-05:00", "title": "SC17 North Atlantic Icelandic Low 1.5-km - Simulation", "description": "A video of a low pressure weather system shows which types of clouds the GEOS model can reproduce. || plot_ir4-northatlantic_map_G5ECMWF-GEOS_01KM-GEOS-20170427_1200_print.jpg (1024x576) [183.4 KB] || plot_ir4-northatlantic_map_G5ECMWF-GEOS_01KM-GEOS-20170427_1200.png (5760x3240) [12.6 MB] || plot_ir4-northatlantic_map_G5ECMWF-GEOS_01KM-GEOS-20170427_1200_searchweb.png (320x180) [81.4 KB] || plot_ir4-northatlantic_map_G5ECMWF-GEOS_01KM-GEOS-20170427_1200_thm.png (80x40) [7.0 KB] || plot_ir4-northatlantic_map_720p.mp4 (1280x720) [44.5 MB] || plot_ir4-northatlantic_map_720p.webm (1280x720) [1.8 MB] || ", "hits": 30 }, { "id": 12206, "url": "https://svs.gsfc.nasa.gov/12206/", "result_type": "Produced Video", "release_date": "2016-05-25T00:00:00-04:00", "title": "Hurricane Forecasts Rely on Modeling the Past", "description": "Complete transcript available.Music: Chris White, Afterglow || 12206_Hurricanes_youtube.00229_print.jpg (1024x576) [119.1 KB] || 12206_Hurricanes_youtube.00229_searchweb.png (180x320) [87.4 KB] || 12206_Hurricanes_youtube.00229_thm.png (80x40) [6.6 KB] || 12206_Hurricane_modeling_MASTER.webm (960x540) [72.0 MB] || Hurricane_modeling.webm (1080x606) [34.9 MB] || 12206_Hurricanes_youtube.mp4 (1920x1080) [190.4 MB] || 12206_Hurricane_modeling_MASTER.mpeg (1280x720) [610.1 MB] || 12206_Hurricanes.en_US.srt [3.8 KB] || 12206_Hurricanes.en_US.vtt [3.8 KB] || 12206_Hurricane_modeling_MASTER_ipod_sm.mp4 (320x240) [32.3 MB] || Hurricane_modeling_prores.mov (1920x1080) [2.5 GB] || ", "hits": 35 }, { "id": 11925, "url": "https://svs.gsfc.nasa.gov/11925/", "result_type": "Produced Video", "release_date": "2015-08-25T11:45:00-04:00", "title": "Supercomputing Power", "description": "How advances in science and computer modeling have lead to improvements in studying hurricanes. || c-1024.jpg (1024x576) [207.3 KB] || c-1024_print.jpg (1024x576) [215.7 KB] || c-1024_searchweb.png (320x180) [135.0 KB] || c-1024_thm.png (80x40) [30.0 KB] || ", "hits": 25 }, { "id": 4243, "url": "https://svs.gsfc.nasa.gov/4243/", "result_type": "Visualization", "release_date": "2015-03-03T13:00:00-05:00", "title": "Volume-Rendered Global Atmospheric Model: Photorealistic Rendering", "description": "This is a photorealistic rendering of clouds using GEOS-5 model data. The camera is looking westard - from above the Pacific Ocean towards Asia. A simulated typhoon is visible near the center. || photoreal_composite.1400_print.jpg (1024x576) [62.8 KB] || photoreal_composite.1400_searchweb.png (320x180) [48.0 KB] || photoreal_composite.1400_thm.png (80x40) [4.3 KB] || photoreal_composite11_720.mp4 (1280x720) [3.5 MB] || 1280x720_16x9_30p (1280x720) [128.0 KB] || photoreal_composite11_720.webm (1280x720) [4.0 MB] || photoreal_composite11_720.m4v (640x360) [6.0 MB] || ", "hits": 27 }, { "id": 30591, "url": "https://svs.gsfc.nasa.gov/30591/", "result_type": "Hyperwall Visual", "release_date": "2014-12-10T10:00:00-05:00", "title": "Simulated Clouds and Aerosols", "description": "GEOS-5 Model Visible || visible_1080_print.jpg (1024x576) [207.1 KB] || visible_1080_searchweb.png (180x320) [102.7 KB] || visible_1080_web.png (320x180) [102.7 KB] || visible_1080_thm.png (80x40) [7.7 KB] || visible (1920x1080) [0 Item(s)] || visible_1080.webm (1920x1080) [28.9 MB] || geos_visible_720p.mp4 (1280x720) [285.3 MB] || visible_1080.mp4 (1920x1080) [423.8 MB] || geos_visible_1080p.mp4 (1920x1080) [572.6 MB] || visible (5760x2881) [0 Item(s)] || geos_visible_2160p.mp4 (3840x2160) [1.8 GB] || ", "hits": 102 }, { "id": 30640, "url": "https://svs.gsfc.nasa.gov/30640/", "result_type": "Hyperwall Visual", "release_date": "2014-12-10T10:00:00-05:00", "title": "Simulated Surface Carbon Monoxide", "description": "Carbon Monoxide animation of Dec 1 - 31, 2006 || geos_cosc_2304p.00001_print.jpg (1024x576) [112.5 KB] || cosc_globe_c1440_NR_BETA9-SNAP_20061201_0000z.png (5760x2880) [17.4 MB] || cosc_globe_c1440_NR_BETA9-SNAP_20061201_0000z_print.jpg (1024x512) [127.3 KB] || cosc_globe_c1440_NR_BETA9-SNAP_20061201_0000z_searchweb.png (180x320) [74.1 KB] || geos_cosc_2304p.00001_thm.png (80x40) [5.9 KB] || geos_cosc_720p.mp4 (1280x720) [20.1 MB] || geos_cosc_720p.webm (1280x720) [2.9 MB] || geos_cosc_2304p.mp4 (4096x2304) [137.7 MB] || ", "hits": 96 }, { "id": 30641, "url": "https://svs.gsfc.nasa.gov/30641/", "result_type": "Hyperwall Visual", "release_date": "2014-12-10T10:00:00-05:00", "title": "Simulated Sulfur Dioxide and Sulfate Aerosols", "description": "Sulfur and Sulfates animation of Sept 1 - Dec 31, 2006 || sulfur_globe_c1440_NR_BETA9-SNAP_20060901_0000z.png (5760x2880) [19.9 MB] || sulfur_globe_c1440_NR_BETA9-SNAP_20060901_0000z_print.jpg (1024x512) [117.1 KB] || sulfur_globe_c1440_NR_BETA9-SNAP_20060901_0000z_searchweb.png (180x320) [93.4 KB] || sulfur_globe_c1440_NR_BETA9-SNAP_20060901_0000z_thm.png (80x40) [7.0 KB] || geos_sulfur_720p.mp4 (1280x720) [95.0 MB] || geos_sulfur_720p.webm (1280x720) [11.6 MB] || sulfur_small_c1440_NR_BETA9-SNAP_20060329_1600z_1080.mp4 (1920x1080) [357.4 MB] || geos_sulfur_2304p.mp4 (4096x2304) [667.5 MB] || ", "hits": 162 }, { "id": 30642, "url": "https://svs.gsfc.nasa.gov/30642/", "result_type": "Hyperwall Visual", "release_date": "2014-12-10T10:00:00-05:00", "title": "Simulated Wind Speeds at 500 mb", "description": "500MB winds animation of Aug 1 - Nov 30, 2006 || w500_globe_c1440_NR_BETA9-SNAP_20060801_0000z.png (5760x2880) [14.4 MB] || w500_globe_c1440_NR_BETA9-SNAP_20060801_0000z_print.jpg (1024x512) [226.7 KB] || w500_globe_c1440_NR_BETA9-SNAP_20060801_0000z_searchweb.png (180x320) [117.4 KB] || geos_w500_720p.webm (1280x720) [16.6 MB] || geos_w500_720p.mp4 (1280x720) [234.9 MB] || geos_w500_2304p.mp4 (4096x2304) [1.4 GB] || ", "hits": 129 }, { "id": 30643, "url": "https://svs.gsfc.nasa.gov/30643/", "result_type": "Hyperwall Visual", "release_date": "2014-12-10T10:00:00-05:00", "title": "Simulated Clouds and Precipitation", "description": "Precipitation animation of Jan 1 - Mar 31, 2006. No preview movie available yet || geos_precip_20060101_0000_print.jpg (1024x576) [259.1 KB] || geos_precip_20060101_0000.png (4096x2304) [15.3 MB] || geos_precip_20060101_0000_searchweb.png (320x180) [110.7 KB] || geos_precip_20060101_0000_thm.png (80x40) [7.5 KB] || ", "hits": 36 }, { "id": 30644, "url": "https://svs.gsfc.nasa.gov/30644/", "result_type": "Hyperwall Visual", "release_date": "2014-12-10T10:00:00-05:00", "title": "Simulated Clouds and Precipitable Water", "description": "Clouds and precipitable water animation of Apr 1 - Jul 31, 2006. || geos_cloudspw_20060101_0000_print.jpg (1024x576) [245.1 KB] || geos_cloudspw_20060101_0000.png (4096x2304) [15.1 MB] || geos_cloudspw_20060101_0000_searchweb.png (320x180) [108.1 KB] || geos_cloudspw_20060101_0000_thm.png (80x40) [7.9 KB] || geos_cloudspw_720p.webm (1280x720) [12.5 MB] || geos_cloudspw_720p.mp4 (1280x720) [270.8 MB] || geos_cloudspw_1080p.mp4 (1920x1080) [523.0 MB] || geos_cloudspw_2160p.mp4 (3840x2160) [1.4 GB] || ", "hits": 201 }, { "id": 30637, "url": "https://svs.gsfc.nasa.gov/30637/", "result_type": "Hyperwall Visual", "release_date": "2014-12-10T00:00:00-05:00", "title": "GEOS-5 Aerosols Simulation for SC 2014", "description": "GEOS-5 aerosols shown at SC 2014. || aerosols-sc2014-preview.jpg (1024x512) [140.7 KB] || aerosols_globe_c1440_NR_BETA9-SNAP_20070228_2200z_searchweb.png (180x320) [97.6 KB] || aerosols_globe_c1440_NR_BETA9-SNAP_20070228_2200z_thm.png (80x40) [7.4 KB] || aerosols (1920x1080) [0 Item(s)] || aerosols-sc14.webm (1920x1080) [10.2 MB] || aerosols-sc14.mp4 (1920x1080) [155.5 MB] || 30637_aerosols_sim_1920x1080.mp4 (1920x1080) [204.3 MB] || aerosols (5760x2881) [0 Item(s)] || 30637_aerosols_sim_4K.mp4 (4096x2048) [206.8 MB] || 30637_aerosols_sim_UHD_large.mp4 (3840x2160) [206.3 MB] || 30637_aerosols_sim_1280x720_prores.mov (1280x720) [1.5 GB] || 30637_aerosols_sim_UHD_youtube_hq.mov (3840x2160) [4.0 GB] || 30637_aerosols_sim_UHD.mov (3840x2160) [11.2 GB] || 30637_aerosols_sim_MASTER.mov (5760x2881) [23.5 GB] || ", "hits": 142 }, { "id": 11683, "url": "https://svs.gsfc.nasa.gov/11683/", "result_type": "Produced Video", "release_date": "2014-11-18T11:00:00-05:00", "title": "Simulating Carbon", "description": "Carbon dioxide is the key driver of global warming, however, despite its significance, much remains unknown about the pathways it takes from emission source to the atmosphere or carbon reservoirs such as oceans and forests. Using a NASA supercomputer model called GEOS-5, scientists created a visualization that simulates how the greenhouse gas travels through Earth’s atmosphere over the course of a year. The model run produced nearly four petabytes (million billion bytes) of data and required 75 days of dedicated computation to complete. In addition to providing a striking look at the movements of the invisible gas as it is transported by winds across the globe, the visualization illustrates differences in carbon dioxide levels in the Northern and Southern Hemispheres and distinct swings in global carbon dioxide concentrations as the growth cycle of plants and trees changes with the seasons. Watch the video for a tour of the visualization. || ", "hits": 62 }, { "id": 11719, "url": "https://svs.gsfc.nasa.gov/11719/", "result_type": "Produced Video", "release_date": "2014-11-17T12:00:00-05:00", "title": "A Year In The Life Of Earth’s CO2", "description": "An ultra-high-resolution NASA computer model has given scientists a stunning new look at how carbon dioxide in the atmosphere travels around the globe.Plumes of carbon dioxide in the simulation swirl and shift as winds disperse the greenhouse gas away from its sources. The simulation also illustrates differences in carbon dioxide levels in the northern and southern hemispheres and distinct swings in global carbon dioxide concentrations as the growth cycle of plants and trees changes with the seasons.The carbon dioxide visualization was produced by a computer model called GEOS-5, created by scientists at NASA Goddard Space Flight Center’s Global Modeling and Assimilation Office.The visualization is a product of a simulation called a “Nature Run.” The Nature Run ingests real data on atmospheric conditions and the emission of greenhouse gases and both natural and man-made particulates. The model is then left to run on its own and simulate the natural behavior of the Earth’s atmosphere. This Nature Run simulates January 2006 through December 2006.While Goddard scientists worked with a “beta” version of the Nature Run internally for several years, they released this updated, improved version to the scientific community for the first time in the fall of 2014. || ", "hits": 265 }, { "id": 11632, "url": "https://svs.gsfc.nasa.gov/11632/", "result_type": "Produced Video", "release_date": "2014-09-04T11:45:00-04:00", "title": "Visualizing Big Data", "description": "Clouds bend and swirl into a massive Category 4 typhoon that spins toward China. Luckily the storm only exists inside the mind of a supercomputer. The artificial storm is seen in a new visualization of Earth’s atmosphere that’s based on an extremely high-resolution supercomputer simulation created by NASA’s Goddard Earth Observing System Model, Version 5 (GEOS-5). The model uses data to generate virtual scenes that mimic the natural world. Seeded with observations that include sea surface temperatures, industrial emissions and volcanic eruptions, the model simulated clouds around the globe over a two-year period from 2005 to 2007. Watch the video to see a sample of the results. || ", "hits": 33 }, { "id": 4180, "url": "https://svs.gsfc.nasa.gov/4180/", "result_type": "Visualization", "release_date": "2014-08-10T00:00:00-04:00", "title": "Volume-Rendered Global Atmospheric Model", "description": "This visualization shows early test renderings of a global computational model of Earth's atmosphere based on data from NASA's Goddard Earth Observing System Model, Version 5 (GEOS-5). This particular run, called 7km GEOS-5 Nature Run (7km-G5NR), was run on a supercomputer, spanned 2 years of simulation time at 30 minute intervals, and produced petabytes of output. The model uses a 7.5 km cube-sphere parameterization. Geographic coordinate output volumes from the model are 5760 x 2881 x 72 voxels per time step. For each voxel numerous physical parameters are available such as temperature, wind speed and direction, pressure, humidity, etc. This visualziation uses a combination of the CLOUD and TAUIR parameters.The visualization spans a little more than 7 days of simulation time which is 354 time steps. The time period was chosen because a simulated category-4 typhoon developed off the coast of China. The frames were rendered using Renderman. Brickmap volumes generated for each time step are about 2.6 gigabytes. This short visualization referenced nearly a terabyte of brickmap files. The 7 day period is repeated several times during the course of the visualization.This visualization was presented at SIGGRAPH 2014 during the Dailies session. || ", "hits": 44 }, { "id": 30515, "url": "https://svs.gsfc.nasa.gov/30515/", "result_type": "Hyperwall Visual", "release_date": "2014-06-30T13:00:00-04:00", "title": "Simulated Atmospheric Carbon Concentrations", "description": "Carbon exists in many forms—e.g., carbon dioxide (CO2), carbon monoxide (CO)—and continually cycles through Earth’s atmosphere, ocean, and terrestrial ecosystems. This visualization, created using data from the 7-km GEOS-5 Nature Run model, shows average column concentrations of atmospheric CO2 (colored shades) and CO (white shades underneath) from January 1, 2006 to December 31, 2006.CO2 variations are largely controlled by fossil fuel emissions and seasonal fluxes of carbon between the atmosphere and land biosphere. For example, dark red and pink shades represent regions where CO2 concentrations are enhanced by carbon sources, mainly from human activities. During Northern Hemisphere spring and summer months, plants absorb a substantial amount of CO2 through photosynthesis, thus removing CO2 from the atmosphere. Atmospheric CO, a pollutant harmful to human health, is produced mainly from fossil fuel combustion and biomass burning. Here, high concentrations of CO (white) are mainly from fire activity in Africa, South America, and Australia. Scientists use model output data such as these to help answer important questions about Earth’s climate and to help design future satellite missions.These model simulations use fossil fuel emissions estimates provided by the Emissions Database for Global Atmospheric Research (EDGAR). NASA’s Quick Fire Emissions Dataset (QFED) estimates fire emissions using MODIS fire radiative power observations. Additional, observationally constrained estimates of CO2 flux between the atmosphere and land and ocean carbon reservoirs were produced as part of NASA’s Carbon Monitoring System Flux Pilot Project (http://carbon.nasa.gov/cgi-bin/cms/inv_pgp.pl?pgid=581). Land biosphere fluxes come from the Carnegie-Ames-Stanford Approach Global Fire Emissions Database (CASA-GFED) model which incorporates MODIS vegetation classification and AVHRR Normalized Difference Vegetation Index (NDVI) data. Ocean fluxes are produced by the NASA Ocean Biogeochemical Model (NOBM) which incorporates MODIS chlorophyll observations. || ", "hits": 92 }, { "id": 11411, "url": "https://svs.gsfc.nasa.gov/11411/", "result_type": "Produced Video", "release_date": "2013-12-03T00:00:00-05:00", "title": "Stormy Coasts", "description": "Antarctica is a hot spot for stormy weather. The constant mixing of warm and cold air happening above ocean waters miles from its shores generates fierce storms that circle the ice-covered continent. But you’d be hard-pressed to find a storm drifting over the South Pole. Storms are restricted to the coasts due to the extreme cold and high elevation of Antarctica’s interior, which blocks storms from penetrating inland. As a result, the center of the ice sheet is a large polar desert that receives less than 0.2 inches of precipitation per year. Watch the video to see a NASA supercomputer climate model simulation that shows the movement of clouds and storm systems around Antarctica. || ", "hits": 95 }, { "id": 11347, "url": "https://svs.gsfc.nasa.gov/11347/", "result_type": "Produced Video", "release_date": "2013-09-19T00:00:00-04:00", "title": "Virtual Sky", "description": "Europe owes much of its weather to prevailing winds known as the westerlies. These consistent breezes, created in part by the planet’s rotation, blow from the west, bringing rain and moisture from the Atlantic Ocean to the continent. They also influence the migration of clouds. Throughout the year, the winds carry clouds east above Europe's vegetated, and sometimes snow-covered, landscape. Using a NASA supercomputer climate model called GEOS-5, scientists are able to simulate cloud movement over Europe and other parts of the world. Such models can help improve scientists' understanding of Earth's climate. In GEOS-5 simulations of Europe’s atmosphere, computer-generated clouds take on the appearance and motion of clouds imaged by Earth-observing satellites and astronauts aboard the International Space Station. Watch the video to see 15 days of simulated cloud changes across Europe. || ", "hits": 39 }, { "id": 4085, "url": "https://svs.gsfc.nasa.gov/4085/", "result_type": "Visualization", "release_date": "2013-09-02T00:00:00-04:00", "title": "Water Falls (Science On a Sphere show): Hurricane Sandy", "description": "Hurricane Sandy segment for the GPM Science On a Sphere (SOS) show titled \"Water Falls\". The hurricane visualization is generated from GEOS-5 model output spanning October 26, 2012 to November 2, 2012 and repeated on the globe three times. || ", "hits": 24 }, { "id": 11269, "url": "https://svs.gsfc.nasa.gov/11269/", "result_type": "Produced Video", "release_date": "2013-06-06T00:00:00-04:00", "title": "Tracking A Superstorm", "description": "Hurricane Sandy pummeled the East Coast late in 2012’s Atlantic hurricane season, causing 159 deaths and $70 billion in damages. Days before landfall, forecasts of its trajectory were still being made. Some computer models showed that a trough in the jet stream would kick the monster storm away from land and out to sea. Among the earliest to predict its true course was NASA’s GEOS-5 global atmosphere model. The model works by dividing Earth’s atmosphere into a virtual grid of stacked boxes. A supercomputer then solves mathematical equations inside each box to create a weather forecast predicting Sandy’s structure, path and other traits. The NASA model not only produced an accurate track of Sandy, but also captured fine-scale details of the storm’s changing intensity and winds. Watch the video to see it for yourself. || ", "hits": 31 }, { "id": 30007, "url": "https://svs.gsfc.nasa.gov/30007/", "result_type": "Hyperwall Visual", "release_date": "2013-03-14T00:00:00-04:00", "title": "MODIS Cloud Optical Thickness", "description": "NASA’s Global Modeling and Assimilation Office (GMAO) works to maximize the impact of NASA’s satellite observations in weather and climate analysis and prediction through integrated Earth system modeling and data assimilation.This visualization compares cloud optical thickness from a GMAO simulation using the Goddard Earth Observing System Model, Version 5 (GEOS-5) [top] to observations from the Moderate Resolution Imaging Spectroradiometer (MODIS) onboard Aqua and Terra [bottom], August 17-26, 2009. A cloud's optical thickness is a measure of attenuation of the light passing through the atmosphere due to the scattering and absorption by cloud droplets. Clouds do not absorb visible wavelengths of sunlight; rather, clouds scatter and reflect most visible light. Here, light blue shades indicate areas where there are low cloud-optical-thickness values, while red and orange shades indicate high values (i.e., greater attenuation caused by the scattering and absorption from cloud droplets). The higher a cloud's optical thickness, the more sunlight the cloud is scattering and reflecting. || ", "hits": 89 }, { "id": 30019, "url": "https://svs.gsfc.nasa.gov/30019/", "result_type": "Hyperwall Visual", "release_date": "2013-03-08T00:00:00-05:00", "title": "Hurricane Sandy", "description": "Surface and near-surface (850 hPa) wind speeds from the NASA Goddard Earth Observing System Model (GEOS-5) operational assimilation system (consisting of a 50-kilometer analysis coupled with a 25-kilometer model) beginning September 1, 2012 preceding a 7-kilometer global simulation with the GEOS-5 atmospheric model initialized at 09Z on October 26, 2012 reveal the massive size of Hurricane Sandy versus the other storms for this period, including the persistent Hurricane Nadine, as well as hurricanes Michael and Rafael. The 7-kilometer simulation depicts the strong onshore winds in New York and New Jersey even after landfall and the dramatic influence of the land surface slowing down Sandy's inland surface winds. || ", "hits": 73 }, { "id": 30017, "url": "https://svs.gsfc.nasa.gov/30017/", "result_type": "Hyperwall Visual", "release_date": "2013-03-07T00:00:00-05:00", "title": "GEOS-5 Nature Run Collection", "description": "Through numerical experiments that simulate the dynamical and physical processes governing weather and climate variability of Earth's atmosphere, models create a dynamic portrait of our planet. This 10-kilometer global mesoscale simulation (Nature Run) using the NASA Goddard Earth Observing System Model (GEOS-5) explores the evolution of surface temperatures as the sun heats the Earth and fuels cloud formation in the tropics and along baroclinic zones; the presence of water vapor and precipitation within these global weather patterns; the dispersion of global aerosols from dust, biomass burning, fossil fuel emissions, and volcanoes; and the winds that transport these aerosols from the surface to upper-levels.The full GEOS-5 simulation covered 2 years—from May 2005 to May 2007. It ran on 3,750 processors of the Discover supercomputer at the NASA Center for Climate Simulation, consuming 3 million processor hours and producing over 400 terabytes of data. GEOS-5 development is funded by NASA's Modeling, Analysis, and Prediction Program. || ", "hits": 143 }, { "id": 11083, "url": "https://svs.gsfc.nasa.gov/11083/", "result_type": "Produced Video", "release_date": "2012-10-02T00:00:00-04:00", "title": "Under The Influence", "description": "Sheets of crisp, bright white clouds blanket our planet. That's true even in particularly dry places like the island continent of Australia. There, cloud-filled skies are mainly observed during the rainy winter season, except in the north, where the majority of storms take place in summer. Australia sits far south of the equator and under a strong, migrating zone of high-pressure called the subtropical ridge. These conditions influence its climate and expose the continent to a variety of weather extremes: drought, floods, heat waves, severe storms and tropical cyclones. At the same time, Australia gets more than 3,000 hours of sunshine each year, making it one of the sunniest places in the world. And, its clouds look incredibly cool from space. Using an advanced supercomputer climate model called GEOS-5, NASA scientists recreated 19 days of changing cloud cover over Australia. Watch the visualization to explore the movement of different systems that formed across the continent. || ", "hits": 35 }, { "id": 11016, "url": "https://svs.gsfc.nasa.gov/11016/", "result_type": "Produced Video", "release_date": "2012-07-31T00:00:00-04:00", "title": "Simulated Nature Runs Its Course", "description": "The 2005 Atlantic hurricane season smashed records with 28 named storms, four Category 5 hurricanes (including Wilma, the all-time strongest), and the costliest U.S. natural disaster (Katrina). A NASA Goddard climate model called GEOS-5 revisited the season as part of a gigantic two-year simulation to better understand the processes of weather and climate. Seeded with observed sea surface temperatures—a key driver of hurricane formation—the model simulated weather events worldwide. One of the highest resolutions to date for a full-Earth model was used to run the simulation, taxing Goddard's Discover supercomputer for weeks. In total, the model spawned 23 Atlantic hurricanes and tropical storms during 2005—an impressive comparison to the actual number observed—and demonstrated an increased ability to model how these volatile cyclones change intensity as they evolve. The visualization shows simulated storms for September 2005 emerging and churning across the North Atlantic. || ", "hits": 85 }, { "id": 10977, "url": "https://svs.gsfc.nasa.gov/10977/", "result_type": "Produced Video", "release_date": "2012-05-24T00:00:00-04:00", "title": "Paint By Particle", "description": "Satellites, balloon-borne instruments and ground-based devices make 30 million observations of the atmosphere each day. Yet these measurements still give an incomplete picture of the complex interactions within the membrane surrounding Earth. Enter climate models. Through mathematical experiments, modelers can move Earth forward or backward in time to create a dynamic portrait of the planet. Researchers from NASA Goddard's Global Modeling and Assimilation Office recently ran a simulation of the atmosphere that captured how winds whip aerosols around the world. Such simulations allow scientists to better understand how these tiny particulates travel in the atmosphere and influence weather and climate. In the visualization below, covering August 2006 to April 2007, watch as dust and sea salt swirl inside cyclones, carbon bursts from fires, sulfate streams from volcanoes—and see how these aerosols paint the modeled world. || ", "hits": 41 }, { "id": 3935, "url": "https://svs.gsfc.nasa.gov/3935/", "result_type": "Visualization", "release_date": "2012-03-26T00:00:00-04:00", "title": "Modelling Weather: Wind, Clouds, and T2M.", "description": "This visualization shows a Goddard Earth Observing System Model, Version 5 (GEOS-5) run for most of the month of June, 2005. The simulation was seeded at the beginning of the run and then ran on its own to create a 2 year simulation. Only 25 days of the full run are depicted here. The ocean color layer ranging from blue to orange depict air temperatures 2 meters (T2M) above sea level. Since Sea Surface Temperatures (SST) are typically measured at sea level and below, the T2M model output behaves somewhat differently. Nonetheless, it is a reasonable proxy to SST. Landcover information is taken from the Next Generation Blue Marble dataset. Sea Ice is depicted as solid white and clouds are shades of white. The wind layer is depicted as flowing white arrows.This project was developed in support of a hyperwall show titled \"Pursuit of Light\" which is scheduled to premiere on April 19, 2012 at the Smithsonian Uvar-Hazy Center during the space shuttle Discovery Transfer Ceremony on a Jumbotron. The hyperwall itself is a multi-screen display system that allows for the display of very high resolution images beyond current 1080p HDTV standards, allowing for much greater detail to be shown on much larger screens. Please click here for more information on NASA's travelling hyperwall. || ", "hits": 42 }, { "id": 3921, "url": "https://svs.gsfc.nasa.gov/3921/", "result_type": "Visualization", "release_date": "2012-03-08T00:00:00-05:00", "title": "Simulated Clouds over Gulf of Mexico and North America", "description": "This animation is a beauty shot of cloud model output over the Gulf of Mexico and North America. The clouds are derived from the Goddard Earth Observing System Model, Version 5 (GEOS-5). GEOS-5 is a system of models integrated using the Earth System Modeling Framework and used to help refine atmospheric weather models.The lighting of this scene is completely artistic and not scientifically accurate. If accurate lighting were used the diurnal effect would pulse across the globe approximately every 90 frames (3 seconds when played at 30 fps). The slow strobing would have been undesireable for the intended purpose of this animation, which is to highlight the cloud model output. || ", "hits": 22 }, { "id": 10897, "url": "https://svs.gsfc.nasa.gov/10897/", "result_type": "Produced Video", "release_date": "2012-01-26T00:00:00-05:00", "title": "Relive Snowmageddon", "description": "Satellites provide dramatic views of clouds, but in order to understand the processes that underlie how clouds form and evolve, scientists turn to complex computer models that simulate Earth's atmosphere. By feeding a range of ground, aircraft and satellite data into Goddard's Earth Observing System Model (GEOS-5), research meteorologists can see how closely the mathematical equations used to simulate atmospheric dynamics match reality. Such models are by no means perfect, but they have improved tremendously in recent years. The visualizations below, based on GEOS-5 model runs from February 2010, show how well the model reproduced the massive blizzard known as \"Snowmageddon.\" In the visualization, watch Snowmageddon's sprawling, comma-shaped cloud system—complete with a tail that reaches all the way to the Caribbean—as it churns up the Eastern Seaboard dumping three feet of snow in some areas. || ", "hits": 26 }, { "id": 10896, "url": "https://svs.gsfc.nasa.gov/10896/", "result_type": "Produced Video", "release_date": "2012-01-24T00:00:00-05:00", "title": "Bubbles In The Sky", "description": "Ever notice how in many parts of the world, puffy, cauliflower-shaped cumulus clouds are more common in the summer? There's a reason for this: thermal convection. In winter, the sun has less time to heat the surface and cause instability in the atmosphere. But during the summer, heat from the sun warms the land surfaces so much that pockets of hot air—scientists call them thermals—bubble upward much like steam in a pot of boiling water. As the hot air rises, the water vapor trapped within condenses into microscopic cloud droplets. If the air is humid enough, rapidly changing cumulus clouds puff up in the atmosphere, sometimes bulging to heights above 39,000 feet. Watch in the visualizations below—based on a climate model that simulated cloud formation during a Southern Hemisphere summer—how cumulus clouds pop up over the forests of Africa and South America. || ", "hits": 92 }, { "id": 3887, "url": "https://svs.gsfc.nasa.gov/3887/", "result_type": "Visualization", "release_date": "2011-12-06T09:00:00-05:00", "title": "GEOS-5 Nature Run", "description": "This visualization shows a Goddard Earth Observing System Model, Version 5 (GEOS-5) run of the 2005 Hurricane Season driven by Sea Surface Temperatures (SST). The simulation was seeded at the beginning of the run and then ran on its own to create the 6 months of output visualized here. What's interesting is that even though the model did not perfectly duplicate all 27 storms from that very active 2005 hurricane season, it does show 23 storms during that same period. Considering this was an anomalous year, the model did a good job of simulating the large number of storms for that season. An innovative aspect of this global model is the ability to represent realistic hurricane intensities, including 6 hurricanes in the Atlantic for 2005 reaching major strength (category 3 or higher on the Saffir-Simpson scale). This finding could help shape future climate models in predicting hurricane season intensities.Ocean colors ranging from blue to orange depict air temperatures 2 meters (T2M) above sea level. Since SSTs are typically measured at sea level and below, the T2M model output behaves somewhat differently. Nonetheless, it is a reasonable proxy to SST. Landcover information is taken from the Next Generation Blue Marble dataset. Sea Ice is depicted as solid white and clouds are shades of white. || ", "hits": 41 }, { "id": 3878, "url": "https://svs.gsfc.nasa.gov/3878/", "result_type": "Visualization", "release_date": "2011-10-26T00:00:00-04:00", "title": "NASA's \"Loop\" Poster", "description": "This image was generated for the NASA \"Loop\" Science On a Sphere poster. The land data used is from NASA's Next Generation Blue Marble. Clouds are from NASA/Goddard's Global Modeling & Assimilation Office. || ", "hits": 23 }, { "id": 3855, "url": "https://svs.gsfc.nasa.gov/3855/", "result_type": "Visualization", "release_date": "2011-10-01T00:00:00-04:00", "title": "Clouds over Africa", "description": "This animation is a beauty shot of cloud model output over North America. The clouds are derived from the Goddard Earth Observing System Model, Version 5 (GEOS-5). GEOS-5 is a system of models integrated using the Earth System Modeling Framework and used to help refine atmospheric weather models.The lighting of this scene is completely artistic and not scientifically accurate. If accurate lighting were used the diurnal effect would pulse across the globe approximately every 90 frames (3 seconds when played at 30 fps). The slow strobing would have been undesireable for the intended purpose of this animation, which is to highlight the cloud model output. || ", "hits": 33 }, { "id": 3856, "url": "https://svs.gsfc.nasa.gov/3856/", "result_type": "Visualization", "release_date": "2011-09-12T00:00:00-04:00", "title": "Clouds over Antarctica", "description": "This animation is a beauty shot of cloud model output over North America. The clouds are derived from the Goddard Earth Observing System Model, Version 5 (GEOS-5). GEOS-5 is a system of models integrated using the Earth System Modeling Framework and used to help refine atmospheric weather models.The lighting of this scene is completely artistic and not scientifically accurate. If accurate lighting were used the diurnal effect would pulse across the globe approximately every 90 frames (3 seconds when played at 30 fps). The slow strobing would have been undesireable for the intended purpose of this animation, which is to highlight the cloud model output. || ", "hits": 28 }, { "id": 3857, "url": "https://svs.gsfc.nasa.gov/3857/", "result_type": "Visualization", "release_date": "2011-09-12T00:00:00-04:00", "title": "Clouds over Australia", "description": "This animation is a beauty shot of cloud model output over North America. The clouds are derived from the Goddard Earth Observing System Model, Version 5 (GEOS-5). GEOS-5 is a system of models integrated using the Earth System Modeling Framework and used to help refine atmospheric weather models.The lighting of this scene is completely artistic and not scientifically accurate. If accurate lighting were used the diurnal effect would pulse across the globe approximately every 90 frames (3 seconds when played at 30 fps). The slow strobing would have been undesireable for the intended purpose of this animation, which is to highlight the cloud model output. || ", "hits": 29 }, { "id": 3858, "url": "https://svs.gsfc.nasa.gov/3858/", "result_type": "Visualization", "release_date": "2011-09-12T00:00:00-04:00", "title": "Clouds over Europe", "description": "This animation is a beauty shot of cloud model output over North America. The clouds are derived from the Goddard Earth Observing System Model, Version 5 (GEOS-5). GEOS-5 is a system of models integrated using the Earth System Modeling Framework and used to help refine atmospheric weather models.The lighting of this scene is completely artistic and not scientifically accurate. If accurate lighting were used the diurnal effect would pulse across the globe approximately every 90 frames (3 seconds when played at 30 fps). The slow strobing would have been undesireable for the intended purpose of this animation, which is to highlight the cloud model output. || ", "hits": 28 }, { "id": 3859, "url": "https://svs.gsfc.nasa.gov/3859/", "result_type": "Visualization", "release_date": "2011-09-12T00:00:00-04:00", "title": "Clouds over Florida and Cuba", "description": "This animation is a beauty shot of cloud model output over North America. The clouds are derived from the Goddard Earth Observing System Model, Version 5 (GEOS-5). GEOS-5 is a system of models integrated using the Earth System Modeling Framework and used to help refine atmospheric weather models.The lighting of this scene is completely artistic and not scientifically accurate. If accurate lighting were used the diurnal effect would pulse across the globe approximately every 90 frames (3 seconds when played at 30 fps). The slow strobing would have been undesireable for the intended purpose of this animation, which is to highlight the cloud model output. || ", "hits": 19 }, { "id": 3860, "url": "https://svs.gsfc.nasa.gov/3860/", "result_type": "Visualization", "release_date": "2011-09-12T00:00:00-04:00", "title": "Clouds over North America", "description": "This animation is a beauty shot of cloud model output over North America. The clouds are derived from the Goddard Earth Observing System Model, Version 5 (GEOS-5). GEOS-5 is a system of models integrated using the Earth System Modeling Framework and used to help refine atmospheric weather models.The lighting of this scene is completely artistic and not scientifically accurate. If accurate lighting were used the diurnal effect would pulse across the globe approximately every 90 frames (3 seconds when played at 30 fps). The slow strobing would have been undesireable for the intended purpose of this animation, which is to highlight the cloud model output. || ", "hits": 19 }, { "id": 3861, "url": "https://svs.gsfc.nasa.gov/3861/", "result_type": "Visualization", "release_date": "2011-09-12T00:00:00-04:00", "title": "Clouds over South America", "description": "This animation is a beauty shot of cloud model output over North America. The clouds are derived from the Goddard Earth Observing System Model, Version 5 (GEOS-5). GEOS-5 is a system of models integrated using the Earth System Modeling Framework and used to help refine atmospheric weather models.The lighting of this scene is completely artistic and not scientifically accurate. If accurate lighting were used the diurnal effect would pulse across the globe approximately every 90 frames (3 seconds when played at 30 fps). The slow strobing would have been undesireable for the intended purpose of this animation, which is to highlight the cloud model output. || ", "hits": 19 }, { "id": 3837, "url": "https://svs.gsfc.nasa.gov/3837/", "result_type": "Visualization", "release_date": "2011-06-13T00:00:00-04:00", "title": "Components of the Water Cycle on a Flat Map for Science On a Sphere", "description": "Water regulates climate, predominately storing heat during the day and releasing it at night. Water in the ocean and atmosphere carry heat from the tropics to the poles. The process by which water moves around the earth, from the ocean, to the atmosphere, to the land and back to the ocean is called the water cycle. The animations below each portray a component of the water cycle. These animations of the components of the water cycle were created for the Science On a Sphere production \"Loop\" using data from the GEOS-5 atmospheric model on the cubed-sphere, run at 14-km global resolution for 25-days. Variables animated here include hourly clouds, precipitation, evaporation and water vapor. For more information on GEOS-5 see https://gmao.gsfc.nasa.gov/systems/geos5. Some of these visualizations are an orthographic view of the data used in Components of the Water Cycle. || ", "hits": 121 }, { "id": 3811, "url": "https://svs.gsfc.nasa.gov/3811/", "result_type": "Visualization", "release_date": "2011-01-11T00:00:00-05:00", "title": "Components of the Water Cycle on a Flat Map", "description": "Water regulates climate, predominately storing heat during the day and releasing it at night. Water in the ocean and atmosphere carry heat from the tropics to the poles. The process by which water moves around the earth, from the ocean, to the atmosphere, to the land and back to the ocean is called the water cycle. The animations below each portray a component of the water cycle. The three animations of atmospheric phenomena were created using data from the GEOS-5 atmospheric model on the cubed-sphere, run at 14-km global resolution for 25-days. Variables animated here include hourly evaporation, water vapor and precipitation. For more information on GEOS-5 see http://gmao.gsfc.nasa.gov/systems/geos5 . For more information on the cubed-sphere work see http://science.gsfc.nasa.gov/610.3/cubedsphere.html.The animation of global sea surface temperature was created using data from a model run of ECCO's Ocean General Circulation Model. See http://www.ecco-group.org/model.htm for more information on ECCO.This group of animations are an orthographic view of the data used in Components of the Water Cycle. || ", "hits": 119 }, { "id": 3792, "url": "https://svs.gsfc.nasa.gov/3792/", "result_type": "Visualization", "release_date": "2010-10-28T00:00:00-04:00", "title": "Meet NASA's Earth-Observing Fleet", "description": "TRMM. Landsat 7. Terra. ACRIMSAT. EO-1. Jason 1. GRACE (twice). Aqua. ICESat. SORCE. Aura. CloudSat. CALIPSO. Jason 2. And, as of June 2011, Aquarius. None of the acronym-heavy Earth-observing satellites seen in the visualization below have achieved the name recognition of big-ticket NASA missions like Apollo or Hubble. But unmanned probes are quietly beaming down information that has transformed our understanding of how the Earth works and what we know of the human fingerprint on climate. Together they represent a mission to planet Earth as ambitious as any NASA has made to the Moon or Mars. One of the oldest functioning satellites in the fleet, TRMM, monitors precipitation; the newest, Aquarius, measures the salinity of the ocean. The next to launch in October 2011—NPP—will continue a suite of atmospheric, ocean, and land surface records initiated decades ago. The visualization shows the precise orbit tracks of twenty current and former Earth-observing satellites (not including Aquarius), as well as the International Space Station and Hubble. || ", "hits": 27 }, { "id": 3793, "url": "https://svs.gsfc.nasa.gov/3793/", "result_type": "Visualization", "release_date": "2010-10-28T00:00:00-04:00", "title": "Artificial World Captures Reality", "description": "A gold standard for supercomputer models that simulate Earth is the ability to recreate real events—snowstorms, tropical cyclones, long-term climate trends. By that benchmark, this 20-day run of one of the highest-resolution climate models in the world glitters. Called GEOS-5, the model was given data leading up to Feb. 2, 2010 and then predicted the atmosphere's response until Feb. 22, 2010 without any further input. The model simulated real weather events that took place during this period—two major snowstorms that struck the East Coast and a Pacific cyclone that formed out of intense convection in the tropics. A closer look at the simulation below reveals its complexity: 3-D cloud layers, the day-night cycle of humidity appearing and disappearing over the Amazon and streaky \"cloud streets\" that trail across the Atlantic from the U.S. coastline. || ", "hits": 63 }, { "id": 3723, "url": "https://svs.gsfc.nasa.gov/3723/", "result_type": "Visualization", "release_date": "2010-06-18T00:00:00-04:00", "title": "NCCS Hyperwall Show: GEOS-5 Modeled Clouds at 5-km Resolution (Flat Map)", "description": "This visualization shows clouds from a simulation using the Goddard Earth Observing System Model, Verison 5 (GEOS5). The global atmospheric simulation ran at a resolution of 5-km per grid cell and covered a period from Feb 2, 2010 through Feb 22, 2010. The results of the simulation were written out at 30 minute intervals. This is a high-resolution non-hydrostatic global model.This visualization was created for display on the NASA Center for Climate Simulation (NCCS) hyperwall. This is a set of tiled high definition displays consisting of 5 displays across by 3 displays down. The full resolution of all combined displays is 6840 pixels accross by 2304 pixels down. This movie was rendered at this high resolution, then diced up into images to be displayed on each screen.A similar, lower resolution visualization is available in entry #3724. The lower resolution version is for comparison to current operational model resolution output. When displaying these visualizations on the hyperwall, we sometimes show them in a checkerboard pattern with alternating 5-km and quarter-degree tiles for easy comparison. We chose to stretch the image to fit the hyperwall aspect rather than cropping or adding black bars. || ", "hits": 145 }, { "id": 3724, "url": "https://svs.gsfc.nasa.gov/3724/", "result_type": "Visualization", "release_date": "2010-06-18T00:00:00-04:00", "title": "NCCS Hyperwall Show: GEOS-5 Modeled Clouds at One Quarter Degree (28-km) Resolution (Flat Map)", "description": "This visualization shows clouds from a simulation using the Goddard Earth Observing System Model, Verison 5 (GEOS-5). The global atmospheric simulation ran at a resolution of one quarter degree (or about 28-km) per grid cell and covered a period from Feb 3, 2010 through Feb 13, 2010. The results of the simulation were written out at 30 minute intervals. This model is a high-resolution non-hydrostatic global model.This visualization was created for display on NASA's Center for Climate Simulation (NCCS) hyperwall. This is a set of tiled high definition displays consisting of 5 displays across by 3 displays down. The full resolution of all combined displays is 6840 pixels across by 2304 pixels down. This movie was rendered at this resolution, then diced up into images to be displayed on each screen.A similar, higher resolution visualization is available in entry #3723. This lower resolution version is for comparison to current operational model resolution output. || ", "hits": 14 }, { "id": 3725, "url": "https://svs.gsfc.nasa.gov/3725/", "result_type": "Visualization", "release_date": "2010-06-18T00:00:00-04:00", "title": "NCCS Hyperwall Show: Earth Observing Fleet with GEOS-5 Clouds", "description": "A newer version of this visualization can be found here.This visualization is an update to a previous visualization of NASA's Earth observing fleet of spacecraft. Also incuded in this version are a couple of commercial spacecraft as well as the International Space Station and the Hubble Space Telescope. The spacecraft ephemerides are from February 2010.The clouds are from a simulation using the Goddard Earth Observing System Model, Verison 5 (GEOS-5). The global atmospheric simulation ran at a resolution of 7-km per grid cell and covered a period from Feb 2, 2010 through Feb 22, 2010. The results of the simulation were written out at 30 minute intervals.This visualization was created for display on the NASA Center for Climate Simulation (NCCS) hyperwall. This is a set of tiled high definition displays consisting of 5 displays across by 3 displays down. The full resolution of all combined displays is 6840 pixels across by 2304 pixels down. This movie was rendered at this high resolution, then diced up into images to be displayed on each screen. || ", "hits": 41 }, { "id": 3722, "url": "https://svs.gsfc.nasa.gov/3722/", "result_type": "Visualization", "release_date": "2010-06-01T00:00:00-04:00", "title": "NCCS Hyperwall Show: Push in with GEOS-5 Modeled Clouds at 3.5-km Global Resolution and 10 Minute Interval", "description": "This visualization shows clouds from a simulation using the Goddard Earth Observing System Model, Verison 5 (GEOS-5). The global atmospheric simulation ran at 3.5 km per grid cell and covered a single day: January 2, 2009. The results of the simulation were written out at 10 minute intervals. Since there is only one day of simulation data, the sequence of clouds repeats several times. The white flash indicates the sequence is about to repeat.This version of the visualization was created for display on the NASA Center for Climate Science (NCCS.) hyperwall. This hyperwall is a set of 15 tiled high definition displays constisting of 5 displays across by 3 displays down. The full resolution of all combined displays is 6840 pixels accross by 2304 pixels down. This movie was rendered at full resolution, then diced up into images for display on each screen.This visualization is similar to a visualization shown at the Supercomputing 2009 conference available in entry #3659. The differences between that one and this one are: resolution, aspect ratio, and camera path (due to the aspect). || ", "hits": 12 }, { "id": 10537, "url": "https://svs.gsfc.nasa.gov/10537/", "result_type": "Produced Video", "release_date": "2009-12-08T13:00:00-05:00", "title": "Climate in a Box", "description": "Recent advances in computer technology and software design make it possible to run massive climate simulations on desktop sized machines. This is a paradigm shift from the need for room sized supercomputers to do important work in climate modelling. In a new initiative, NASA plans to facilitate the wider distribution of desktop sized supercomputers, aimed at democratizing climate research among scientists who might otherwise have been more resource contrained. Included in this video are modelling output runs using GEOS-5 and WRF. || ", "hits": 35 }, { "id": 3657, "url": "https://svs.gsfc.nasa.gov/3657/", "result_type": "Visualization", "release_date": "2009-11-16T00:00:00-05:00", "title": "GEOS-5 Modeled Clouds at 7-km Global Resolution", "description": "This visualization shows clouds from a simulation using the Goddard Earth Observing System Model, Verison 5 (GEOS-5). The global atmospheric simulation running at 7 km per grid cell covered the period from August 17, 2009 at 21 zulu, through August 26, 2009 at 21 zulu at 30 minute intervals. This visualization was designed to closely match a GOES satellite image for comparison purposes. || ", "hits": 39 }, { "id": 3659, "url": "https://svs.gsfc.nasa.gov/3659/", "result_type": "Visualization", "release_date": "2009-11-16T00:00:00-05:00", "title": "GEOS-5 Modeled Clouds at 3.5-km Global Resolution", "description": "This visualization shows clouds from a simulation using the Goddard Earth Observing System Model, Verison 5 (GEOS-5). The global atmospheric simulation ran at 3.5 km per grid cell and covered a single day: January 2, 2009. The model output the results at 10 minute intervals. Since there is only one day of simulation data, the sequence of clouds repeats several times. The white flash indicates the sequence is about to repeat. || ", "hits": 41 }, { "id": 3643, "url": "https://svs.gsfc.nasa.gov/3643/", "result_type": "Visualization", "release_date": "2009-10-08T00:00:00-04:00", "title": "Hourly Atmospheric Water Vapor from the GEOS-5 Model", "description": "These three animations portray the hourly flow of atmospheric water vapor around the world. The animations were created using data from the GEOS-5 atmospheric model on the cubed-sphere, run at 14-km global resolution for 30-days. For more information on the GEOS-5, see http://gmao.gsfc.nasa.gov/systems/geos5 . For more information on the cubed-sphere work, see http://sivo.gsfc.nasa.gov/cubedsphere_overview.html. || ", "hits": 19 }, { "id": 3644, "url": "https://svs.gsfc.nasa.gov/3644/", "result_type": "Visualization", "release_date": "2009-10-08T00:00:00-04:00", "title": "Hourly Evaporation from the GEOS-5 Model", "description": "This animation of the global hourly evaporation shows how heating from the sun during the day causes increased evaporation over land areas. Two versions of this animation are provided: one with a day/night clock inset and one without. The animation was created using data from the GEOS-5 atmospheric model on the cubed-sphere, run at 14-km global resolution for 30-days. For more information on the GEOS-5, see http://gmao.gsfc.nasa.gov/systems/geos5. For more information on the cubed-sphere work, see http://sivo.gsfc.nasa.gov/cubedsphere_overview.html. || ", "hits": 42 }, { "id": 3645, "url": "https://svs.gsfc.nasa.gov/3645/", "result_type": "Visualization", "release_date": "2009-10-08T00:00:00-04:00", "title": "Hourly Total Precipitation from the GEOS-5 Model", "description": "This animation portrays the hourly flow of precipitation around the world. The animation was created using data from the GEOS-5 atmospheric model on the cubed-sphere, run at 14-km global resolution for 30-days. For more information on the GEOS-5, see http://gmao.gsfc.nasa.gov/systems/geos5 . For more information on the cubed-sphere work, see http://sivo.gsfc.nasa.gov/cubedsphere_overview.html. || ", "hits": 16 }, { "id": 3648, "url": "https://svs.gsfc.nasa.gov/3648/", "result_type": "Visualization", "release_date": "2009-10-08T00:00:00-04:00", "title": "Components of the Water Cycle", "description": "Water regulates climate, storing heat during the day and releasing it at night. Water in the ocean and atmosphere carry heat from the tropics to the poles. The process by which water moves around the earth, from the ocean, to the atmosphere, to the land and back to the ocean is called the water cycle. The animations below each portray a component of the water cycle. All use an identical view and camera motion to allow for easy compositing.Data for the animation of global sea surface temperature was derived from a model run of ECCO's Ocean General Circulation Model. See http://www.ecco-group.org/model.htm for more information on ECCO.Data for the animation of atmospheric phenomena was created using data from the GEOS-5 atmospheric model on the cubed-sphere, run at 14-km global resolution for 25-days. Variables animated here include evaporation, water vapor and precipitation.For more information on the GEOS-5 see http://gmao.gsfc.nasa.gov/systems/geos5.For more information on the cubed-sphere work see http://science.gsfc.nasa.gov/610.3/cubedsphere.html.All three of these animations are time synchronous throughout the animation to allow cross fades during compositing.The final animation shown here, a pulsing network of rivers over the continents, represents the flow of water from land back into the ocean, thereby completing the water cycle.A flat version of these animations can be found in item #3811. || ", "hits": 64 }, { "id": 3359, "url": "https://svs.gsfc.nasa.gov/3359/", "result_type": "Visualization", "release_date": "2006-06-07T00:00:00-04:00", "title": "MAP '05 Models Hurricane Katrina's Winds on August 29, 2005", "description": "During the summer of 2005 the Earth-Sun Exploration Division of NASA/Goddard Space Flight Center(GSFC) brought together resources from NASA to study tropical cyclones. The MAP '05 Project, so named for its affiliation with NASA's Modeling, Analysis, and Prediction (MAP) program, applies NASA's advanced satellite remote sensing technologies and earth system modeling capabilities to improve our understanding of tropical cyclones that develop in and move across the Atlantic basin. MAP '05 implemented the most recent version of the NASA/Goddard Earth Observing System (GEOS) fifth-generation global atmospheric model and the Gridpoint Statistical Interpolation (GSI) analysis system under development as a collaboration between NOAA's National Centers for Environmental Prediction (NCEP) and the Global Modeling and Assimilation Office (GMAO) at GSFC. This animation generates a white static flow fields from the MAP '05 wind analysis data. || ", "hits": 32 }, { "id": 3360, "url": "https://svs.gsfc.nasa.gov/3360/", "result_type": "Visualization", "release_date": "2006-06-07T00:00:00-04:00", "title": "MAP '05 Models Hurricane Katrina's Winds from August 23, 2005 through August 31, 2005", "description": "During the summer of 2005, the Earth-Sun Exploration Division of NASA/Goddard Space Flight Center(GSFC) brought together resources from NASA to study tropical cyclones. The MAP '05 Project, so named for its affiliation with NASA's Modeling, Analysis, and Prediction (MAP) program, applies NASA's advanced satellite remote sensing technologies and earth system modeling capabilities to improve our understanding of tropical cyclones that develop in and move across the Atlantic basin. MAP '05 implemented the most recent version of the NASA/Goddard Earth Observing System (GEOS) fifth-generation global atmospheric model and the Gridpoint Statistical Interpolation (GSI) analysis system under development as a collaboration between NOAA's National Centers for Environmental Prediction (NCEP) and the Global Modeling and Assimilation Office (GMAO) at GSFC. This animation displays MAP '05's wind analysis data for every 6 hour interval from August 23 through August 31, 2005. || ", "hits": 35 }, { "id": 3220, "url": "https://svs.gsfc.nasa.gov/3220/", "result_type": "Visualization", "release_date": "2005-08-31T00:00:00-04:00", "title": "Behold, A Whirlwind Came: The Science of Tracking Hurricanes", "description": "This documentary-style video shows how NASA computer modeling research is contributing to an improved understanding and forecasts of hurricanes. It weaves interviews of three Goddard Space Flight Center scientists with scientific visualizations and live-action footage of hurricanes and the scientists studying them. The video focuses on application of the NASA finite-volume General Circulation Model (fvGCM) to the 2004 Atlantic Ocean hurricane season. Over the last 20 years, the National Oceanic and Atmospheric Administration's National Hurricane Center and National Weather Service have produced enormous improvements in hurricane forecasting. However, by running at ~25-kilometer resolution (twice that of current operational forecasts), the NASA fvGCM has shown in some cases an accuracy of landfall prediction on the order of 100 kilometers up to 5 days in advance. Initial evaluation suggests that the potential exists for dramatic improvements in warning time and intensity forecasts for tropical cyclones around the globe. NASA has begun collaborating with the National Weather Service and other agencies worldwide to improve forecasts so that, among other advantages, local authorities can narrow areas for evacuation. The video was produced for the TerraLink exhibit at the Maryland Science Center in Baltimore.Winner of the 2005 Video Competition Crystal Award of Excellence. || ", "hits": 40 }, { "id": 3203, "url": "https://svs.gsfc.nasa.gov/3203/", "result_type": "Visualization", "release_date": "2005-07-28T11:00:00-04:00", "title": "Global High Altitude Wind Speed during Hurricane Frances (WMS)", "description": "The Earth's atmosphere exerts pressure based on the weight of the air above. Differences in pressure from place-to-place cause winds to try to flow from high pressure to low pressure regions to even out the differences, but the Earth's rotation and wind friction with the surface act to slow or divert the winds. This animation shows the high altitude wind speeds for the whole globe from September 1, 2004, through September 5, 2004, during the period of Hurricane Frances in the western Atlantic Ocean and Typhoon Songda in the western Pacific Ocean. At high altitudes, the difference between between high pressures from warm tropical air and low pressures from cold polar air try to force air from the tropics toward the poles, but the Earth's rotation diverts this flow to the east, resulting in the high velocity west-to-east jet stream flows at mid-latitudes. The circular flows from Frances and Songda can barely be seen at this altitude. || ", "hits": 110 }, { "id": 3207, "url": "https://svs.gsfc.nasa.gov/3207/", "result_type": "Visualization", "release_date": "2005-07-28T11:00:00-04:00", "title": "Global 300 hPa Geopotential Height during Hurricane Frances (WMS)", "description": "The Earth's atmosphere exerts pressure based on the weight of the air above, so the pressure reduces with rising altitude. This rate of pressure reduction with altitude is based on the temperature of the air, with the pressure of colder air reducing faster with altitude than warmer air. Therefore, a surface of constant pressure has a lower altitude at the poles than the equator. This animation shows the altitude above sea level (the geopotential height) of the 300 hectopascal (hPa) pressure surface for the whole globe from September 1, 2004, through September 5, 2004, during the period of Hurricane Frances in the western Atlantic Ocean and Typhoon Songda in the western Pacific Ocean. This pressure is about one-third of the normal pressure at sea level. The largest downward slope of this surface occurs in the mid-latitudes and is shown in yellow in the animation. At this region, air is trying to flow from the equator towards the poles to reduce the slope, but the rotation of the Earth forces the flow to divert to the east, forming the strong west-to-east jet stream flows in these regions. Frances and Songda can be seen as sharp yellow dots of reduced height in their respective locations. || ", "hits": 87 }, { "id": 3208, "url": "https://svs.gsfc.nasa.gov/3208/", "result_type": "Visualization", "release_date": "2005-07-28T11:00:00-04:00", "title": "Global Cloud Cover during Hurricane Frances (WMS)", "description": "Water vapor is a small but significant constituent of the atmosphere, warming the planet due to the greenhouse effect and condensing to form clouds which both warm and cool the Earth in different circumstances. Warm, moisture-laden air moving out from the tropics brings clouds and rainfall to the temperate zones. This animation shows the cloud cover for the whole globe from September 1, 2004, through September 5, 2004, during the period of Hurricane Frances in the western Atlantic Ocean and Typhoon Songda in the western Pacific Ocean. The cloud cover in any region significantly affects the energy balance since sunlight reflected from the clouds is not available to heat the surface. The motion of clouds in this animation clearly indicates the speed and direction of winds around the globe. || ", "hits": 25 }, { "id": 3209, "url": "https://svs.gsfc.nasa.gov/3209/", "result_type": "Visualization", "release_date": "2005-07-28T11:00:00-04:00", "title": "Global Convective Precipitation during Hurricane Frances (WMS)", "description": "Water vapor is a small but significant constituent of the atmosphere, warming the planet due to the greenhouse effect and condensing to form clouds. As moisture-laden air rises, the relative humidity increases until it saturates the air, at which time precipitation occurs. If the uplift of air is due to strong updrafts and unstable air systems, as in thunderstorms, then the precipitation is called convective. This animation shows the convective precipitation for the whole globe from September 1, 2004, through September 5, 2004, during the period of Hurricane Frances in the western Atlantic Ocean and Typhoon Songda in the western Pacific Ocean. Convective precipitation is more intense but less long-lasting than large-scale precipitation. || ", "hits": 16 }, { "id": 3210, "url": "https://svs.gsfc.nasa.gov/3210/", "result_type": "Visualization", "release_date": "2005-07-28T11:00:00-04:00", "title": "Global Large-scale Precipitation during Hurricane Frances (WMS)", "description": "Water vapor is a small but significant constituent of the atmosphere, warming the planet due to the greenhouse effect and condensing to form clouds. As moisture-laden air rises, the relative humidity increases until it saturates the air, at which time precipitation occurs. If the uplift of air is due to large-scale atmospheric motion, then the precipitation is called large-scale, or dynamic. This animation shows the large-scale precipitation for the whole globe from September 1, 2004, through September 5, 2004, during the period of Hurricane Frances in the western Atlantic Ocean and Typhoon Songda in the western Pacific Ocean. Large-scale precipitation tends to be continuous and to come from decks of stratus clouds rather than from thunderstorms. || ", "hits": 17 }, { "id": 3182, "url": "https://svs.gsfc.nasa.gov/3182/", "result_type": "Visualization", "release_date": "2005-07-27T11:00:00-04:00", "title": "Global Atmospheric Sea Level Pressure during Hurricane Frances (WMS)", "description": "The weight of the Earth's atmosphere exerts pressure on the surface of the Earth. This pressure varies from place-to-place due the variations in the Earth's surface since higher altitudes have less atmosphere above them than lower altitudes. Atmospheric pressure also varies from time-to-time due to the uneven heating of the atmosphere by the sun and the rotation of the Earth, causing weather. In order to see the changes in pressure which affect the weather, the variation due to altitude is removed from the surface pressure, creating a quantity called sea level pressure. This animation shows the atmospheric sea level pressure for the whole globe from September 1, 2004, through September 5, 2004, during the period of Hurricane Frances in the western Atlantic Ocean and Typhoon Songda in the western Pacific Ocean. The sharp, moving low pressures areas for Frances and Songda can be clearly seen in the oceans. Even with the direct effect of altitude removed, cold high-altitude regions such as the South Pole and the Himalayan Plateau still exhibit lower-than-normal pressures, probably due to the interaction of cold air over those regions with the warmer air in the surrounding regions. || ", "hits": 54 }, { "id": 3197, "url": "https://svs.gsfc.nasa.gov/3197/", "result_type": "Visualization", "release_date": "2005-07-27T11:00:00-04:00", "title": "Global Atmospheric Surface Pressure during Hurricane Frances (WMS)", "description": "The weight of the Earth's atmosphere exerts pressure on the surface of the Earth. This pressure varies from place-to-place due the variations in the Earth's surface since higher altitudes have less atmosphere above them than lower altitudes. Atmospheric pressure also varies from time-to-time due to the uneven heating of the atmosphere by the sun and the rotation of the Earth, causing weather. This animation shows the atmospheric surface pressure for the whole globe from September 1, 2004, through September 5, 2004, during the period of Hurricane Frances in the western Atlantic Ocean and Typhoon Songda in the western Pacific Ocean. The major changes in pressure occur over land where the surface altitude varies, but the sharp, moving low pressures areas for Frances and Songda can be clearly seen in the oceans. Since changing surface pressure areas over land are hard to see in these images due to the strong altitude variations, plots of the atmospheric surface pressure are almost never used to study the weather. A different plot, of sea-level pressure, is used instead. || ", "hits": 62 }, { "id": 3198, "url": "https://svs.gsfc.nasa.gov/3198/", "result_type": "Visualization", "release_date": "2005-07-27T11:00:00-04:00", "title": "Global Surface Air Temperature during Hurricane Frances (WMS)", "description": "As the Sun's energy reaches the Earth, it is either reflected, absorbed by the clouds, or absorbed by the Earth's surface. The part absorbed by the Earth's surface heats the Earth, which then heats the air just above the surface. This process occurs rapidly in the case of dry land and slowly in the case of the oceans. This animation shows the surface air temperature at an altitude of 2 meters for the whole globe from September 1, 2004, through September 5, 2004, during the period of Hurricane Frances in the western Atlantic Ocean and Typhoon Songda in the western Pacific Ocean. The animation clearly shows the air over land reacting rapidly to solar heating during the day and cooling at night, while the daily solar cycle is not visible in the temperature of the air over the ocean. A very dynamic region of changing air temperature is visible in the interaction between the cold air over Antarctica and the warmer mid-latitude air over the southern oceans during this region of polar night. Hurricane Frances and Typhhon Songda are just barely visible as circulating temperature patterns in the western Atlantic and Pacific Oceans. || ", "hits": 14 }, { "id": 3199, "url": "https://svs.gsfc.nasa.gov/3199/", "result_type": "Visualization", "release_date": "2005-07-27T11:00:00-04:00", "title": "Global Surface Latent Heat Flux during Hurricane Frances (WMS)", "description": "As the Sun's energy reaches the Earth, it is either reflected, absorbed by the clouds, or absorbed by the Earth's surface. The part absorbed by the surface heats the Earth, which causes surface water to evaporate to the air, particularly over oceans or moist land. Similarly, a cold surface causes water to condense from the air onto the land or ocean. Latent heat flux is the amount of energy moving from the surface to the air due to evaporation (positive values) or from the air to the land due to condensation (negative values). This animation shows the latent heat flux for the whole globe from September 1, 2004, through September 5, 2004, during the period of Hurricane Frances in the western Atlantic Ocean and Typhoon Songda in the western Pacific Ocean. The animation clearly shows the evaporation over land only during the heat of the day, while the evaporation over the ocean is continuous throughout the day. The highest positive latent heat flux occurs during hurricanes and typhoons, as these events are powered by the movement of heat energy from the warm ocean to the atmosphere, seen here in Hurricane Frances and Typhoon Songda. Significant negative latent heat flux is somewhat rare and occurs over the ocean only during certain configurations of air and surface conditions. || ", "hits": 145 }, { "id": 3201, "url": "https://svs.gsfc.nasa.gov/3201/", "result_type": "Visualization", "release_date": "2005-07-27T11:00:00-04:00", "title": "Global Surface Wind Speed during Hurricane Frances (WMS)", "description": "The weight of the Earth's atmosphere exerts pressure on the surface of the Earth. This pressure varies from place-to-place and from time-to-time due to surface irregularities, uneven heating of the atmosphere by the sun, and the Earth's rotation. Differences in pressure from place-to-place cause winds to try to flow from high pressure to low pressure regions to even out the differences, but the Earth's rotation and wind friction with the surface act to slow or divert the winds. This animation shows the surface wind speeds for the whole globe from September 1, 2004, through September 5, 2004, during the period of Hurricane Frances in the western Atlantic Ocean and Typhoon Songda in the western Pacific Ocean. The highest, smoothest winds occur over the oceans where there are no surface irregularities to break up the flow, while flows over land tend to be irregular and highly variable. The highest winds occur in Hurricane Frances and Typhoon Songda, but note that the hurricane's wind speeds reduce dramatically when crossing Florida. || ", "hits": 43 }, { "id": 3202, "url": "https://svs.gsfc.nasa.gov/3202/", "result_type": "Visualization", "release_date": "2005-07-27T11:00:00-04:00", "title": "Global Atmospheric Water Vapor during Hurricane Frances (WMS)", "description": "Water vapor is a small but significant constituent of the atmosphere, warming the planet due to the greenhouse effect and condensing to form clouds which both warm and cool the Earth in different circumstances. Warm, moisture-laden air moving out from the tropics brings rainfall to the temperate zones. This animation shows the atmospheric water vapor for the whole globe from September 1, 2004, through September 5, 2004, during the period of Hurricane Frances in the western Atlantic Ocean and Typhoon Songda in the western Pacific Ocean. The band of water vapor over the tropics is the intertropical convergence zone, where converging trade winds and high temperatures force large amounts of water high into the atmosphere. Both Hurricane Frances and Typhoon Songda exhibit significant spiral bands of high water vapor. || ", "hits": 38 }, { "id": 3184, "url": "https://svs.gsfc.nasa.gov/3184/", "result_type": "Visualization", "release_date": "2005-07-08T12:00:00-04:00", "title": "fvGCM and Hurricane Jeanne Track", "description": "This animation shows the track of hurricane Jeanne, in yellow, and a track in green showing the path of Jeanne as predicted by the fvGCM model. The animation follows Jeanne from the eastern Atlantic, to landfall in Florida, and north through Georgia. || ", "hits": 24 }, { "id": 3063, "url": "https://svs.gsfc.nasa.gov/3063/", "result_type": "Visualization", "release_date": "2004-12-06T12:00:00-05:00", "title": "fvGCM Climate Model of Hurricane Ivan (hourly/closeup view)", "description": "This animation illustrates the output of NASA's finite-volume General Circulation Model (fvGCM) during the five day period just prior to the landfall of hurricane Ivan.The data used for this animation was computed for each hour. The visible structure of the hurricane is defined by areas of high wind. The color represents the amount of total precipitable water (blue is low, red is high). || ", "hits": 15 }, { "id": 3064, "url": "https://svs.gsfc.nasa.gov/3064/", "result_type": "Visualization", "release_date": "2004-12-06T12:00:00-05:00", "title": "fvGCM Climate Model of Hurricane Frances and other storms", "description": "This animation illustrates the output of NASA's finite-volume General Circulation Model (fvGCM) which is a global, 1/4 degree atmospheric model. Three dimensional volumetric representations of tropical cyclones are shown around the world including: Hurricane Francis in the Western Atlantic, Tropical Depression Ivan in the Eastern Atlantic, Tropical Cyclone Pheobe in the Indian Ocean, and Super Typhoon Songda in the Western North Pacific. The structures are defined by areas of high wind speeds. The colors represent total precipitable water (blue is low, red is high). || ", "hits": 21 }, { "id": 3045, "url": "https://svs.gsfc.nasa.gov/3045/", "result_type": "Visualization", "release_date": "2004-11-08T12:00:00-05:00", "title": "fvGCM Climate Model and Hurricane Ivan Track", "description": "This animation shows the track of hurricane Ivan, in yellow, and a track in green showing the path of Ivan as predicted by the fvGCM model. The animation follows Ivan from far out in the eastern Atlantic, all the way to land fall in southern Alabama. The white cloud-like features show the cloud cover and total moisture calculated by the model and help to illustrate wind motion. || ", "hits": 21 }, { "id": 3046, "url": "https://svs.gsfc.nasa.gov/3046/", "result_type": "Visualization", "release_date": "2004-11-08T12:00:00-05:00", "title": "fvGCM Climate Model and Hurricane Ivan Global View", "description": "This animation illustrates the output of the fvGCM atmospheric model, during the five day period just prior to the landfall of hurricane Ivan. The white cloud-like features show the cloud cover and total moisture calculated by the model and help to illustrate wind motion. || ", "hits": 24 }, { "id": 3000, "url": "https://svs.gsfc.nasa.gov/3000/", "result_type": "Visualization", "release_date": "2004-09-09T12:00:00-04:00", "title": "Hurricane Isabel Model: Clouds", "description": "The NASA finite-volume General Circulation Model (fvGCM) was used to predict the path of hurricane Isabel, starting from a known initial state. The predicted path is compared to the actual path taken by the hurricane. || ", "hits": 18 }, { "id": 3001, "url": "https://svs.gsfc.nasa.gov/3001/", "result_type": "Visualization", "release_date": "2004-09-09T12:00:00-04:00", "title": "Hurricane Isabel Model: Precipitable Water", "description": "The NASA finite-volume General Circulation Model (fvGCM) was used to predict the path of hurricane Isabel, starting from a known initial state. The predicted path is compared to the actual path taken by the hurricane. || ", "hits": 19 }, { "id": 3002, "url": "https://svs.gsfc.nasa.gov/3002/", "result_type": "Visualization", "release_date": "2004-09-09T12:00:00-04:00", "title": "Hurricane Isabel Model: Clouds and Precipitable Water", "description": "The NASA finite-volume General Circulation Model (fvGCM) was used to predict the path of hurricane Isabel, starting from a known initial state. The predicted path is compared to the actual path taken by the hurricane. || ", "hits": 12 } ] }