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{
"id": 5213,
"url": "https://svs.gsfc.nasa.gov/5213/",
"result_type": "Visualization",
"release_date": "2024-08-14T15:00:00-04:00",
"title": "Changes in the Atmosphere and Ocean During a Transition From La Niña to El Niño",
"description": "This is the final version of the ENSO visualization with narration. There are HD and 4k versions available as mp4s. There is also a high quality 4k version which is very large (3.8 Gbytes). Other non-narrated formats including individual frames are available below this entry.This movie is also available on youtube here:https://youtu.be/jK20dl3g9R8?si=38LHf1e0iIzrfhRQlink || ENSO_99_final_4k.01200_print.jpg (1024x576) [82.0 KB] || ENSO_Locked_Final_1080.mp4 (1920x1080) [155.7 MB] || ENSO_Final_Audio.en_US.srt [8.6 KB] || ENSO_Final_Audio.en_US.vtt [8.7 KB] || ENSO_Locked_Final_2160.mp4 (3840x2160) [184.8 MB] || ENSO_Locked_Final_2160_HIGH_QUAL.mp4 (3840x2160) [3.7 GB] || ENSO_Locked_Final_2160.mp4.hwshow [188 bytes] || ",
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{
"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] || ",
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{
"id": 12365,
"url": "https://svs.gsfc.nasa.gov/12365/",
"result_type": "Produced Video",
"release_date": "2016-09-07T18:00:00-04:00",
"title": "What's Up With Earth?",
"description": "What would cause a wind pattern that held for at least 60 years to suddenly change? NASA scientists are working to understand the recent quirky behavior of winds in Earth’s stratosphere.Video for social media.Run time = 43 sec. || 12365-1280-MASTER.00001_print.jpg (1024x576) [131.4 KB] || 12365-1280-MASTER.00001_searchweb.png (320x180) [80.2 KB] || 12365-1280-MASTER.00001_web.png (320x180) [80.2 KB] || 12365-1280-MASTER.00001_thm.png (80x40) [5.8 KB] || 12365-1280-MASTER.mov (1280x720) [356.5 MB] || 12365-1280-MASTER_youtube_hq.mov (1280x720) [82.5 MB] || 12365-1280-MASTER_appletv.m4v (1280x720) [20.8 MB] || 12365-1280-MASTER.mpeg (1280x720) [174.6 MB] || 12365-1280-MASTER.webm (1280x720) [5.6 MB] || 12365-1280-MASTER_ipod_sm.mp4 (320x240) [7.4 MB] || ",
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{
"id": 12255,
"url": "https://svs.gsfc.nasa.gov/12255/",
"result_type": "Produced Video",
"release_date": "2016-06-23T11:00:00-04:00",
"title": "Monsoons: Wet, Dry, Repeat...",
"description": "Complete transcript available.Music: Letting Go by Mario Lauer, 24 Dimensions by Christian Telford, David Travis Edwards, Matthew St. Laurent, and Robert Anthony Navarro || Monsoon_narrated_1080_30fps_youtube.00749_print.jpg (1024x576) [184.2 KB] || Monsoon_narrated_1080_30fps_youtube.00749_searchweb.png (180x320) [92.7 KB] || Monsoon_narrated_1080_30fps_youtube.00749_thm.png (80x40) [6.3 KB] || monsoonnarrfull.en_US.srt [4.9 KB] || monsoonnarrfull.en_US.vtt [4.9 KB] || 12255_Monsoons_1080_30fps.mp4 (1920x1080) [406.7 MB] || 12255_Monsoons_1080_60fps.mp4 (1920x1080) [409.0 MB] || 12255_Monsoons_4k_60fps_prores.mov (3840x2160) [27.8 GB] || 12255_Monsoons_4k30fps_youtube.mp4 (3840x2160) [1008.7 MB] || 12255_Monsoons_4k_60fps.webm (3840x2160) [131.9 MB] || ",
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},
{
"id": 30701,
"url": "https://svs.gsfc.nasa.gov/30701/",
"result_type": "Hyperwall Visual",
"release_date": "2016-02-08T12:00:00-05:00",
"title": "Earth: A System of Systems",
"description": "Slices of Earth observational and modeling data || R_beach_ball_flat_1080p.00001_print.jpg (1024x576) [105.6 KB] || R_beach_ball_flat_1080p.00001_searchweb.png (320x180) [53.8 KB] || R_beach_ball_flat_1080p.00001_thm.png (80x40) [4.3 KB] || R_beach_ball_flat_1080p.mp4 (1920x1080) [47.3 MB] || R_beach_ball_flat_720p.mp4 (1280x720) [26.4 MB] || R_beach_ball_flat_720p.webm (1280x720) [7.8 MB] || beach_ball_noLabels_1080p.mp4 (1920x1080) [41.8 MB] || beach_ball_noLabels_720p.mp4 (1280x720) [23.1 MB] || R_beach_ball_flat_360p.mp4 (640x360) [9.3 MB] || cam_held (4104x2304) [0 Item(s)] || earth_system_of_systems_30701.key [51.4 MB] || earth_system_of_systems_30701.pptx [49.0 MB] || beachball_2304p.mp4 (4096x2304) [125.7 MB] || beach_ball_noLabels_2304p.mp4 (4096x2304) [121.0 MB] || ",
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{
"id": 4398,
"url": "https://svs.gsfc.nasa.gov/4398/",
"result_type": "Visualization",
"release_date": "2015-11-18T00:00:00-05:00",
"title": "Ocean Surface CO2 Flux with Wind Stress",
"description": "This animation shows the ocean surface CO2 flux between 1/1/2009 and 12/31/2010. Blue colors indicate uptake and orange-red colors indicate outgassing of ocean carbon. The pathlines indicate surface wind stress. || CO2flux_windStress.00480_print.jpg (1024x576) [213.6 KB] || CO2flux_windStress.00480_searchweb.png (180x320) [97.8 KB] || CO2flux_windStress.00480_thm.png (80x40) [7.2 KB] || CO2flux_windStress_1080p30.webm (1920x1080) [23.4 MB] || 3840x2160_16x9_30p (3840x2160) [512.0 KB] || 5760x3240_16x9_30p (5760x3240) [512.0 KB] || CO2flux_windStress_1080p30.mp4 (1920x1080) [673.7 MB] || CO2flux_windStress_2160p30.mp4 (3840x2160) [1.7 GB] || CO2flux_windStress_4398.key [679.6 MB] || CO2flux_windStress_4398.pptx [677.0 MB] || CO2flux_windStress_1080p30.mp4.hwshow [201 bytes] || ",
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},
{
"id": 4240,
"url": "https://svs.gsfc.nasa.gov/4240/",
"result_type": "Visualization",
"release_date": "2015-02-09T14:00:00-05:00",
"title": "CCMP Winds from June through October 2011",
"description": "North Atlantic surface wind vector flow lines over sea surface temperature from June 1, 2011 to October 31, 2011. || ccmp_atlantic_sstHD36.4800_print.jpg (1024x576) [249.9 KB] || ccmp_atlantic_sstHD36.webm (1920x1080) [37.2 MB] || ccmp_atlantic_sstHD36 (1920x1080) [0 Item(s)] || ccmp_atlantic_sstHD36.mp4 (1920x1080) [593.5 MB] || ccmp_atlantic_sstHD36.m4v (640x360) [44.2 MB] || ccmp_atlantic_sst35 (5760x3240) [0 Item(s)] || CCMP_atlantic_sstHD36.key [150.9 MB] || CCMP_atlantic_sstHD36.pptx [149.1 MB] || ",
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},
{
"id": 3879,
"url": "https://svs.gsfc.nasa.gov/3879/",
"result_type": "Visualization",
"release_date": "2013-10-01T00:00:00-04:00",
"title": "Wind and Ocean Circulation shot for Dynamic Earth Dome Show",
"description": "This visualization was created for the planetarium dome show film called Dynamic Earth. It is rendered with a fish-eye projection, called domemaster, which is why it looks circular. In a dome, the image fills the dome's hemisphere so that the parts near the bottom of the image are low and in front of the view, the top of the image is behind the viewer, and the left and right sides are to the left and right of the viewer.The camera slowly pushes in towards the Earth revealing global wind patterns. The wind patterns are from the MERRA computational model of the atomsphere. As the camera continues to push in, the winds fade away, revealing ocean currents which are driven, in part, by the winds. The ocean currents are from the ECCO-2 computational model of the oceans and ice. Only the higher speed ocean currents are shown. The camera moves around the Western Atlantic highlighting the Gulf stream from above and below. The camera finally emerges from beneath sea level and moves over to the Gulf of Mexico to examine the Loop Current.This shot is designed to seamlessly match to the end of the Earth/CME shot (animation id #3551.). Topographic features are exaggerated 20 times above water and 40 times below water. The exaggeration is primarily to allow the viewer to distinguish the depths of the flow fields.This visualization was shown in the \"VR Village\" at SIGGRAPH 2015. || ",
"hits": 89
},
{
"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": 27
},
{
"id": 3992,
"url": "https://svs.gsfc.nasa.gov/3992/",
"result_type": "Visualization",
"release_date": "2012-09-19T12:00:00-04:00",
"title": "Daily Sea Ice during Aug & Sept 2012 with Winds",
"description": "Early in the month of August, 2012, storms in the Arctic affected the motion of the sea ice north of Siberia and Alaska. This animation shows the motion of the winds over the Arctic in conjunction with seasonal melting of the Arctic sea ice from August 1 through September 13, 2012, when the NASA scientists determined that the sea ice reached its annual minimum extent. The surface winds, shown my moving arrows, are colored by the velocity. Slower winds are shown in blue, medium in green and the fast winds are shown in red.Note: Scientists at the National Snow and Ice Data Center, who calculate the sea ice minimum based on a 5-day trailing average, identified September 16 as the date when the lowest minimum extent occurred. NASA scientists who calculate area on each individual day identified September 13th as the date of the minimum sea ice, although there is little difference in size between the two days. || ",
"hits": 32
},
{
"id": 10958,
"url": "https://svs.gsfc.nasa.gov/10958/",
"result_type": "Produced Video",
"release_date": "2012-05-02T08:00:00-04:00",
"title": "Pursuit of Light",
"description": "Perhaps more than all other federal agencies, NASA tells stories about big things: big places, big data, big ideas. Using extraordinarily high resolution data sets from some of the most innovative and powerful scientific instruments ever built, the media team at NASA Goddard presents PURSUIT OF LIGHT. The presentation showcases top level goals of NASA's Science Mission Directorate, with an eye toward capturing the imagination of mainstream audiences. Data visualizations at resolutions far greater than HDTV present NASA's science goals like never before. Interspersed with inventive live action footage also designed to make use of that vast canvas, this six and a half minute presentation captivates and moves viewers.PURSUIT OF LIGHT was designed expressly for a screen technology called The Hyperwall, a system largely perfected at NASA Goddard Space Flight Center. The Hyperwall itself is a platform best suited for big themes. With colossal screen resolution and an ultrawide presentational style, moving images played there take on a vast sense of scale and power. PURSUIT OF LIGHT employs the strength of this remarkable system and pushes it further than ever before, presenting stories about the Earth, The Moon, The Sun, The Planets, and the deep sky, wrapped in poetic implication about the humanity's imperative need to explore. This show will play prominently on touring Hyperwalls around the country as well as on the web. || ",
"hits": 30
},
{
"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": 39
},
{
"id": 10922,
"url": "https://svs.gsfc.nasa.gov/10922/",
"result_type": "Produced Video",
"release_date": "2012-03-07T13:00:00-05:00",
"title": "NASA Jet Stream Study Lights up Night Sky",
"description": "High in the sky, 60 to 65 miles above Earth's surface, winds rush through a little understood region of Earth's atmosphere at speeds of 200 to 300 miles per hour. Lower than a typical satellite's orbit, higher than where most planes fly, this upper atmosphere jet stream makes a perfect target for a particular kind of scientific experiment: the sounding rocket. Some 35 to 40 feet long, sounding rockets shoot up into the sky for short journeys of eight to ten minutes, allowing scientists to probe difficult-to-reach layers of the atmosphere.In March, NASA will launch five such rockets in approximately five minutes to study these high-altitude winds and their intimate connection to the complicated electrical current patterns that surround Earth. First noticed in the 1960s, the winds in this jet stream shouldn't be confused with the lower jet stream located around 30,000 feet, through which passenger jets fly and which is reported in weather forecasts. This rocket experiment is designed to gain a better understanding of the high-altitude winds and help scientists better model the electromagnetic regions of space that can damage man-made satellites and disrupt communications systems. The experiment will also help explain how the effects of atmospheric disturbances in one part of the globe can be transported to other parts of the globe in a mere day or two.The five sounding rockets, known as the Anomalous Transport Rocket Experiment (ATREX), will launch from NASA's Wallops Flight Facility in Virginia releasing a chemical tracer into the air. The chemical — a substance called trimethyl aluminum — forms milky, white clouds that allow those on the ground to \"see\" the winds in space and track them with cameras. In addition, two of the rockets will have instrumented payloads to measure pressure and temperature in the atmosphere. || ",
"hits": 95
},
{
"id": 10889,
"url": "https://svs.gsfc.nasa.gov/10889/",
"result_type": "Produced Video",
"release_date": "2012-01-04T00:00:00-05:00",
"title": "NASA Finds Russian Runoff Freshening Canadian Arctic",
"description": "A new NASA and University of Washington study allays concerns that melting Arctic sea ice could be increasing the amount of freshwater in the Arctic enough to have an impact on the global \"ocean conveyor belt\" that redistributes heat around our planet. Read the full press release here: http://www.nasa.gov/topics/earth/features/earth20120104.html || ",
"hits": 17
},
{
"id": 3884,
"url": "https://svs.gsfc.nasa.gov/3884/",
"result_type": "Visualization",
"release_date": "2011-12-05T15:00:00-05:00",
"title": "Thermohaline Circulation using Improved Flow Field",
"description": "The oceans are mostly composed of warm salty water near the surface over cold, less salty water in the ocean depths. These two regions don't mix except in certain special areas. The ocean currents, the movement of the ocean in the surface layer, are driven primarily by the wind. In certain areas near the polar oceans, the colder surface water also gets saltier due to evaporation or sea ice formation. In these regions, the surface water becomes dense enough to sink to the ocean depths. This pumping of surface water into the deep ocean forces the deep water to move horizontally until it can find an area on the world where it can rise back to the surface and close the current loop. This usually occurs in the equatorial ocean, mostly in the Pacific and Indian Oceans. This very large, slow current is called the thermohaline circulation because it is caused by temperature and salinity (haline) variations.This animation shows one of the major regions where this pumping occurs, the North Atlantic Ocean around Greenland, Iceland, and the North Sea. The surface ocean current brings new water to this region from the South Atlantic via the Gulf Stream and the water returns to the South Atlantic via the North Atlantic Deep Water current. The continual influx of warm water into the North Atlantic polar ocean keeps the regions around Iceland and southern Greenland generally free of sea ice year round.The animation also shows another feature of the global ocean circulation: the Antarctic Circumpolar Current. The region around latitude 60 south is the only part of the Earth where the ocean can flow all the way around the world with no obstruction by land. As a result, both the surface and deep waters flow from west to east around Antarctica. This circumpolar motion links the world's oceans and allows the deep water circulation from the Atlantic to rise in the Indian and Pacific Oceans, thereby closing the surface circulation with the northward flow in the Atlantic.The color on the world's ocean's at the beginning of this animation represents surface water density, with dark regions being most dense and light regions being least dense (see the animation Sea Surface Temperature, Salinity and Density). The depths of the oceans are highly exaggerated (100x in oceans, 20x on land) to better illustrate the differences between the surface flows and deep water flows. The actual flows in this model are based on current theories of the thermohaline circulation rather than actual data. The thermohaline circulation is a very slow moving current that can be difficult to distinguish from general ocean circulation. Therefore, it is difficult to measure or simulate.This version of the visualization combines the Earth look of the original thermohaline visualization with the new thermohaline flow field generated for the Science On a Sphere production, \"Loop\".This version is also designed so it can be played on 3x3 or 5x3 hyperwalls. When playing on a 3x3 hyperwall, use b1 -> d3 tiles. Each individual image tile is 1368x768. || ",
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},
{
"id": 3826,
"url": "https://svs.gsfc.nasa.gov/3826/",
"result_type": "Visualization",
"release_date": "2011-05-25T00:00:00-04:00",
"title": "NCCS Hyperwall Show: Attribution of February 2010 East Coast Snowstorms",
"description": "Three major snowstorms hit the east coast of the United States in the winter of 2009-2010. Scientists then posed the following question: What was the role of climate variability during this extreme winter? Utilizing high end computing resources at the NASA/Goddard Space Flight Center, scientists employed the use of the GEOS-5 atmospheric model in an ensemble of simulations to answer this question. Two case studies were produced. One was the winter of 2009-2010 and the other was the same months during the winter of 1999-2000. 50 member ensembles of high resolution simulations were run (each 3-months long beginning on December 1st for each winter).The resulting findings were that GEOS-5 simulations forced with observed Sea Surface Temperatures (SST) reproduce observed changes, including enhanced storminess along the United States east coast. The ensemble members showed that this is a robust response, and verified that anomalous weather events over the U.S. are, to a large extent, driven by El Niño SST. Furthermore, North Atlantic SST contributes to the coolor (snow-producing) temperatures along the U.S. east coast. || ",
"hits": 16
},
{
"id": 3733,
"url": "https://svs.gsfc.nasa.gov/3733/",
"result_type": "Visualization",
"release_date": "2010-06-24T00:00:00-04:00",
"title": "MERRA Wind",
"description": "Retrospective-analyses (or reanalyses) have been a critical tool in studying weather and climate variability for the last 15 years. Reanalyses blend the continuity and breadth of output data of a numerical model with the constraint of vast quantities of observational data. The result is a long-term continuous data record. The Modern Era Retrospective-analysis for Research and Applications was developed to support NASA's Earth science objectives, by applying the state-of-the-art GMAO data assimilation system that includes many modern observing systems (such as EOS) in a climate framework.The MERRA time period covers the modern era of remotely sensed data, from 1979 through the present, and the special focus of the atmospheric assimilation is the hydrological cycle.The time period covered by the visualization is the months of May, June, and July of 1988 and 1993, two years with contrasting extreme weather events during the summer: a drought through the midwestern states of the US in 1988, and heavy rains and flooding through the same region in 1993.This visualization shows the combined U and V components of wind at three different pressure levels: 850 mb, 500 mb, and 300 mb. The pressure coordinate is greatly exaggerated.This animation was created as part of a presentation for the Nasa Center for Climate Simulation (NCCS) hyperwall display. 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. For the full presentation, see the link below. || ",
"hits": 46
},
{
"id": 3708,
"url": "https://svs.gsfc.nasa.gov/3708/",
"result_type": "Visualization",
"release_date": "2010-05-01T00:00:00-04:00",
"title": "Five Spheres - Tropospheric Ozone",
"description": "Satellite data can be used to monitor the health of the atmosphere from space. This animation of atmospheric changes is match framed to animation entries 3707, 3709, 3710, and 3711. This dataset shows tropospheric ozone, which is close to the ground and a component of pollution. This should be distinguished from high altitude (stratospheric) ozone which shields the Earth's surface from ultraviolet radiation.For more information about tropospheric ozone see the links below:http://www.nasa.gov/vision/earth/environment/ozone_resource_page.htmlhttp://www.ozonelayer.noaa.gov/science/basics.htm || ",
"hits": 28
},
{
"id": 3711,
"url": "https://svs.gsfc.nasa.gov/3711/",
"result_type": "Visualization",
"release_date": "2010-05-01T00:00:00-04:00",
"title": "Five Spheres - Water",
"description": "Satellite data can be used to observe the dramatic ebb and flow of the our planet's water system from space. This animation of QuikSCAT's sea surface winds is match framed to animation entries 3707, 3708, 3709, and 3710. The SeaWinds Scatterometer instrument on the QuikSCAT satellite captures the always moving and complex sea surface. The mission has also provided critical information for monitoring, modeling, forecasting and researching our atmosphere, ocean and climate.By any measure of success, the 10-year-old QuikSCAT mission is a unique national resource that has achieved and far surpassed its science objectives. Designed for a two-year lifetime, QuikSCAT has been used around the globe by the world's operational meteorological agencies to improve weather forecasts and identify the location, size and strength of hurricanes and other storms in the open ocean. More information on QuikSCAT is online at: http://winds.jpl.nasa.gov/missions/quikscat/index.cfm. || ",
"hits": 15
},
{
"id": 3661,
"url": "https://svs.gsfc.nasa.gov/3661/",
"result_type": "Visualization",
"release_date": "2010-02-18T12:00:00-05:00",
"title": "Volume Renderings of Hurricane Isabel based on the WRF Computational Model (Three Resolutions)",
"description": "This visualization shows cloud and ice data from an atmospheric simulation using the Weather Research and Forecasting (WRF) Model. Clouds are shown as levels of white; and, ice is shown as levels of blue. Cloud and ice data from the model are volumetric (i.e. in multiple pressure levels).Three different reolution runs are shown as the camera moves in towards the East coast:1. 36 km per grid cell every hour covering most of the northern hemisphere (volume size: 415x270x27)2. 12 km per grid cell every hour covering central North America (volume size: 438x300x27)3. 4 km per grid cell every 5 minutes covering the US East coast (volume size: 300x300x27)This visualization was created in support of a video about the Climate in a Box project. for the Fall 2009 American Geophysical Union (AGU) conference. || ",
"hits": 16
},
{
"id": 3672,
"url": "https://svs.gsfc.nasa.gov/3672/",
"result_type": "Visualization",
"release_date": "2010-01-05T00:00:00-05:00",
"title": "28 Year Arctic Temperature Trend",
"description": "Scientists who study the Arctic region consider this area to be an early indicator of global warming, because changes in this area are amplified by the high albedo of the snow and ice. This animation depicts the 28-year surface temperature trend over the Arctic region determined from data collected between August 1981 and July 2009. The warming and cooling regions are shown in steps of .02 degrees Kelvin per year from the regions of greatest change to the areas of least change. Blue hues indicate cooling regions; red hues depict warming. The neutral region of -.02 to +.02 is shown in white. Light regions indicate less change while darker regions indicate more. The temperature scale used ranges from -0.42 to +0.42 degrees Kelvin, although the minimum data value is -0.1825 degrees Kelvin per year while the maximum value is 0.4185. || ",
"hits": 36
},
{
"id": 3665,
"url": "https://svs.gsfc.nasa.gov/3665/",
"result_type": "Visualization",
"release_date": "2009-12-13T00:00:00-05:00",
"title": "Global Transport of Black Carbon",
"description": "Tiny air pollution particles commonly called soot, but also known as black carbon, are in the air and on the move throughout our planet. Black carbon enters the air when fossil fuels and biofuels, such as coal, wood, and diesel are burned. Since black carbon readily absorbs heat from sunlight, the particles can affect Earth's climate, especially on a regional scale. Though global distribution of soot remains difficult to measure, NASA researchers use satellite data and computer models to better understand how these short-lived particles influence Earth's climate, cryosphere, and clouds. This scientific data visualization uses data from the GEOS5 GOCART climate model to show black carbon's atmospheric concentration from August to November in 2009.A flat map version of this animation is available.This visualziation was created in support of a presentation at the Fall 2009 American Geophysical Union (AGU) conference in San Fransisco, CA. || ",
"hits": 70
},
{
"id": 3664,
"url": "https://svs.gsfc.nasa.gov/3664/",
"result_type": "Visualization",
"release_date": "2009-12-11T00:00:00-05:00",
"title": "Volumetric Renderings of Hurricane Isabel based on the WRF Computational Model: close up with winds",
"description": "This visualization shows cloud and ice data from an atmospheric simulation using the Weather Research and Forecasting (WRF) Model. Clouds are shown as shades of white and ice is shown as shades of blue. Cloud and ice data from the model are volumetric (with a volume size of 300x300x27 cells). Winds are represented by moving arrows. The arrows are colored from blue (lower altitudes) to white (higher altitudes). Each of these data sets were from simulations at 3. 4 km per grid cell every 5 minutes for the East coast near where Isabel made landfall. This visualization was created in support of a video about the Climate in a Box project for the Fall 2009 American Geophysical Union (AGU) conference. || ",
"hits": 25
},
{
"id": 3666,
"url": "https://svs.gsfc.nasa.gov/3666/",
"result_type": "Visualization",
"release_date": "2009-12-11T00:00:00-05:00",
"title": "Volumetric Renderings of Hurricane Isabel based on WRF Computational Model: Top Down View",
"description": "This visualization shows cloud and ice data from an atmospheric simulation using the Weather Research and Forecasting (WRF) Model. Clouds are shown as shades of white and ice is shown as shades of blue. Cloud and ice data from the model are volumetric, so a volumetric rendering technique called ray-casting was used to create the images. Winds are represented by moving arrows. Each of these data sets were from simulations at 3. 4 km per grid cell every 5 minutes for the East coast near where Isabel made landfall.This is a top-down view of the storm that was rendered in layers. There are layers (with alpha channels) for the dates, winds, clouds, and background. This allowed for editors to control when each of the elements was faded in during post production. A composited example is included. The layers should composited in the order listed above.This visualization was created in support of a video about the Climate in a Box project for the Fall 2009 American Geophysical Union (AGU) conference. || ",
"hits": 16
},
{
"id": 3754,
"url": "https://svs.gsfc.nasa.gov/3754/",
"result_type": "Visualization",
"release_date": "2009-10-09T00:00:00-04:00",
"title": "Endless Loop: Earth's Water Cycle",
"description": "For circulating energy, for distributing essential chemistry, and as a fundamental requirement for most biological processes, water defines Earth's dynamic identity. The more than seventy percent of our planet covered by water is in many ways the reason life has survived and thrived for so long.A simple trip to the ocean's edge highlights how water constantly moves. But water sloshing back in forth in ocean basins only begins to describe the complex processes of its circulation on Earth.NASA takes the water cycle as not merely an academic exercise but as a vital area for exploration. Satellites can examine aspects of the global water cycle that in situ measurements and observations can only dream about seeing. The TRMM spacecraft is the world's most advanced precipitation measuring system to date, gathering vital information about tropical precipitation and other features every day. Other sensors, like the AMSR and AIRS instruments on the AQUA spacecraft take profiles of the planet's atmosphere, examine water vapor concentrations and distribution, among other things. A number of instruments look at water at or below the surface. MODIS makes sea surface temperature measurements that provide essential information about how oceans work and how they're changing over time. GRACE keeps track of elusive, yet massive, quantities of water both underground and in the oceans by making precise gravitational measurements. And the planned Aquarius mission, scheduled for launch in just a few years, will make unprecedented measurements of ocean salinity, a vital characteristic for describing a wide variety of phenomena, from life to physical processes that govern global circulation patterns. || ",
"hits": 217
},
{
"id": 3640,
"url": "https://svs.gsfc.nasa.gov/3640/",
"result_type": "Visualization",
"release_date": "2009-10-08T00:00:00-04:00",
"title": "Rotating Cloudy Galileo Transitions to Blue Marble View",
"description": "The MODIS instruments on the Terra and Aqua satellites take multi-spectral images of the Earth daily. This realistic, cloudy Earth is a composite of MODIS imagery from March 3, 2009. This animation reveals a transition from the MODIS view of Earth to the Blue Marble image, to allow a look at the planet without clouds. The Blue Marble Next Generation (BMNG) data set provides a monthly global cloud-free true-color picture of the Earth's landcover at a 500-meter spatial resolution. This data set, shown on a globe, is derived from monthly data collected in 2004. The ocean color is derived from applying a depth shading to the bathymetry data. The Antarctica coverage shown is the Landsat Image Mosaic of Antarctica. || ",
"hits": 61
},
{
"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": 24
},
{
"id": 3595,
"url": "https://svs.gsfc.nasa.gov/3595/",
"result_type": "Visualization",
"release_date": "2009-07-27T00:00:00-04:00",
"title": "Sentinels of the Heliosphere",
"description": "Heliophysics is a term to describe the study of the Sun, its atmosphere or the heliosphere, and the planets within it as a system. As a result, it encompasses the study of planetary atmospheres and their magnetic environment, or magnetospheres. These environments are important in the study of space weather.As a society dependent on technology, both in everyday life, and as part of our economic growth, space weather becomes increasingly important. Changes in space weather, either by solar events or geomagnetic events, can disrupt and even damage power grids and satellite communications. Space weather events can also generate x-rays and gamma-rays, as well as particle radiations, that can jeopardize the lives of astronauts living and working in space.This visualization tours the regions of near-Earth orbit; the Earth's magnetosphere, sometimes called geospace; the region between the Earth and the Sun; and finally out beyond Pluto, where Voyager 1 and 2 are exploring the boundary between the Sun and the rest of our Milky Way galaxy. Along the way, we see these regions patrolled by a fleet of satellites that make up NASA's Heliophysics Observatory Telescopes. Many of these spacecraft do not take images in the conventional sense but record fields, particle energies and fluxes in situ. Many of these missions are operated in conjunction with international partners, such as the European Space Agency (ESA) and the Japanese Space Agency (JAXA).The Earth and distances are to scale. Larger objects are used to represent the satellites and other planets for clarity.Here are the spacecraft featured in this movie:Near-Earth Fleet:Hinode: Observes the Sun in multiple wavelengths up to x-rays. SVS pageRHESSI : Observes the Sun in x-rays and gamma-rays. SVS pageTRACE: Observes the Sun in visible and ultraviolet wavelengths. SVS pageTIMED: Studies the upper layers (40-110 miles up) of the Earth's atmosphere.FAST: Measures particles and fields in regions where aurora form.CINDI: Measures interactions of neutral and charged particles in the ionosphere. AIM: Images and measures noctilucent clouds. SVS pageGeospace Fleet:Geotail: Conducts measurements of electrons and ions in the Earth's magnetotail. Cluster: This is a group of four satellites which fly in formation to measure how particles and fields in the magnetosphere vary in space and time. SVS pageTHEMIS: This is a fleet of five satellites to study how magnetospheric instabilities produce substorms. SVS pageL1 Fleet: The L1 point is a Lagrange Point, a point between the Earth and the Sun where the gravitational pull is approximately equal. Spacecraft can orbit this location for continuous coverage of the Sun.SOHO: Studies the Sun with cameras and a multitude of other instruments. SVS pageACE: Measures the composition and characteristics of the solar wind. Wind: Measures particle flows and fields in the solar wind. Heliospheric FleetSTEREO-A and B: These two satellites observe the Sun, with imagers and particle detectors, off the Earth-Sun line, providing a 3-D view of solar activity. SVS pageHeliopause FleetVoyager 1 and 2: These spacecraft conducted the original 'Planetary Grand Tour' of the solar system in the 1970s and 1980s. They have now travelled further than any human-built spacecraft and are still returning measurements of the interplanetary medium. SVS pageThis enhanced, narrated visualization was shown at the SIGGRAPH 2009 Computer Animation Festival in New Orleans, LA in August 2009; an eariler version created for AGU was called NASA's Heliophysics Observatories Study the Sun and Geospace. || ",
"hits": 88
},
{
"id": 3525,
"url": "https://svs.gsfc.nasa.gov/3525/",
"result_type": "Visualization",
"release_date": "2008-12-01T00:00:00-05:00",
"title": "Two Posters of Earth with Sea Ice and Clouds over a Star Background",
"description": "These very high resolution images show a global view of the Earth at different orientations with Arctic sea ice on December 8,2008 and September 15, 2008. The extent of the sea ice was determined by the AMSR-E sea ice concentration data. The terrain shows the average land cover for the related months over the continents. (See Blue Marble Next Generation) The global cloud cover shown was obtained from the original Blue Marble cloud data distributed in 2002. (See Blue Marble:Clouds) A matching star background is provided. || ",
"hits": 102
},
{
"id": 3486,
"url": "https://svs.gsfc.nasa.gov/3486/",
"result_type": "Visualization",
"release_date": "2007-12-03T00:00:00-05:00",
"title": "GEOS-5 Model Run Showing Hurricane Katrina",
"description": "This visualization shows data from a global atmospheric assimilation model for August 2005. In early August the camera looks towards the North pole showing the swirling winds caused by the Coriolis effect; then the camera moves down towards Africa which is the birthplace of many tropical storms; finally, the camera moves across the Atlantic as many of the storms form during 2005 ending with Hurricane Katrina. This visualization was created in support of demonstrations given at the Supercomputing 2007 Conference. || ",
"hits": 28
},
{
"id": 3039,
"url": "https://svs.gsfc.nasa.gov/3039/",
"result_type": "Visualization",
"release_date": "2004-10-29T12:00:00-04:00",
"title": "ICESat Cloud Walls (scripted camera path)",
"description": "This is an animation showing data from ICESat's Geoscience Laser Altimeter System (GLAS). Cloud data can be seen over about 15 orbits on October 6, 2003. The data are initially laid out in the order that is was collected followed by continued movement around the scene. This version of the animation starts with the full globe, moves south to Antarctica, over the pole, then north to Africa, around the world near the equator and finally to the north pole. || ",
"hits": 18
},
{
"id": 3009,
"url": "https://svs.gsfc.nasa.gov/3009/",
"result_type": "Visualization",
"release_date": "2004-09-20T12:00:00-04:00",
"title": "TRMM Looks at the Rain Fueling Hurricane Ivan on September 15, 2004",
"description": "NASA's TRMM spacecraft is used by meteorologists to understand Hurricane Ivan. TRMM snapped this view of Hurricane Ivan on September 15, 2004 just before the storm strikes land. The cloud cover is taken by TRMM's Visible and Infrared Scanner (VIRS). The rain structure is taken by TRMM's Precipitation Radar (PR). It looks underneath of the storm's clouds to reveal the underlying rain structure. Blue represents areas with at least 0.25 inches of rain per hour. Green shows at least 0.5 inches of rain per hour. Yellow is at least 1.0 inches of rain and Red is at least 2.0 inches of rain per hour. High vertical bands on the outside of the storm indicated that Hurricane Ivan was very likely to spawn tornados in Florida and Georgia. || ",
"hits": 29
},
{
"id": 3010,
"url": "https://svs.gsfc.nasa.gov/3010/",
"result_type": "Visualization",
"release_date": "2004-09-20T12:00:00-04:00",
"title": "Hurricane Ivan Rainfall Structure Seen from TRMM September 9, 2004",
"description": "Zooms down to Hurricane Ivan on September 9, 2004. It looks underneath of the storms clouds to reveal the underlying rain structure. Blue represents areas with at least 0.25 inches of rain per hour. Green shows at least 0.5 inches of rain per hour. Yellow is at least 1.0 inches of rain and Red is at least 2.0 inches of rain per hour. || melt_still.0000.jpg (720x486) [69.1 KB] || TRMM09092004_640x480_pre.jpg (320x240) [11.8 KB] || TRMM09092004_320x240_pre.jpg (320x240) [12.3 KB] || TRMM09092004_640x480.webmhd.webm (960x540) [3.3 MB] || 720x486_4x3_29.97p (720x486) [32.0 KB] || TRMM09092004_640x480.mpg (640x480) [10.6 MB] || TRMM09092004_320x240.mpg (320x240) [2.8 MB] || ",
"hits": 8
},
{
"id": 3011,
"url": "https://svs.gsfc.nasa.gov/3011/",
"result_type": "Visualization",
"release_date": "2004-09-20T12:00:00-04:00",
"title": "Hurricane Ivan Rainfall Structure seen by TRMM on September 16, 2004",
"description": "NASA's TRMM spacecraft is used by meteorologists to understand Hurricane Ivan. TRMM snapped this view of Hurricane Ivan on September 15, 2004, just before the storm strikes land. The cloud cover is taken by TRMM's Visible and Infrared Scanner (VIRS). The rain structure is taken by TRMM's Tropical Microwave Imager (TMI). It looks underneath of the storm's clouds to reveal the underlying rain structure. Blue represents areas with at least 0.25 inches of rain per hour. Green shows at least 0.5 inches of rain per hour. Yellow is at least 1.0 inches of rain and red is at least 2.0 inches of rain per hour. || ",
"hits": 30
},
{
"id": 3013,
"url": "https://svs.gsfc.nasa.gov/3013/",
"result_type": "Visualization",
"release_date": "2004-09-20T12:00:00-04:00",
"title": "Hurricane Ivan Rain Accumulation September 2-19, 2004 (wide view)",
"description": "This animation shows rain accumulation between Hurricane Frances and Hurricane Ivan. The green path is the path Hurricane Frances took between August 25, 2004, and September 9, 2004. The red path is Hurricane Ivan from September 2, 2004, to September 19, 2004. || ",
"hits": 34
},
{
"id": 3014,
"url": "https://svs.gsfc.nasa.gov/3014/",
"result_type": "Visualization",
"release_date": "2004-09-20T12:00:00-04:00",
"title": "Hurricane Ivan Rain Accumulation September 2-19, 2004 (Close View)",
"description": "This animation shows rain accumulation between Hurricane Frances and Hurricane Ivan. The green path is the path Hurricane Frances took between August 25, 2004, and September 9, 2004. The red path is Hurricane Ivan from September 2, 2004, to September 19, 2004. || ",
"hits": 33
},
{
"id": 3012,
"url": "https://svs.gsfc.nasa.gov/3012/",
"result_type": "Visualization",
"release_date": "2004-09-19T12:00:00-04:00",
"title": "Hurricane Ivan Track and Intensity September 2-19, 2004",
"description": "This visual shows the position of the eye of Hurricane Ivan, as well as, the intensity of the storm. The intensity of the storm is depicted through color. Purple is the weakest classification, Tropical Depression, where winds are less then 39 miles per hour. Blue represents a Tropical Storm with winds between 39 and 73 miles per hour. Blue-Green shows a Class 1 Hurricane with winds between 74 and 95 miles per hour. Green displays a Class 2 Hurricane with winds between 96 and 110 miles per hour. Yellow is a Class 3 Hurricane where winds are sustained between 111 and 130 miles per hour. Orange is a Class 4 Hurricane with winds between 131 and 154 miles per hour. Red is the most deadly classification where winds are greater then 155 miles per hour. || ivan_fulltrack.0010.jpg (720x486) [62.7 KB] || ivan_track_intensity_640x480_pre.jpg (320x240) [10.0 KB] || ivan_track_intensity_320x240_pre.jpg (320x240) [10.4 KB] || ivan_track_intensity_640x480.webmhd.webm (960x540) [860.6 KB] || 720x486_4x3_29.97p (720x486) [128.0 KB] || ivan_track_intensity_640x480.mpg (640x480) [18.1 MB] || ivan_track_intensity_320x240.mpg (320x240) [4.9 MB] || ",
"hits": 16
},
{
"id": 3007,
"url": "https://svs.gsfc.nasa.gov/3007/",
"result_type": "Visualization",
"release_date": "2004-09-14T12:00:00-04:00",
"title": "Hurricane Ivan Progression as Seen by MODIS September 9-14, 2004",
"description": "Hurricane Ivan barrels across the Caribbean and heads toward the United States Gulf Coast. || This is a fixed view of Hurricane Ivan as it barrels across the Carribean Sea. || ivan_progression.0010.jpg (720x486) [32.9 KB] || a003007_320x240_pre.jpg (320x240) [5.7 KB] || a003007_640x480.webmhd.webm (960x540) [1.2 MB] || 720x486_4x3_29.97p (720x486) [32.0 KB] || a003007_640x480.mpg (640x480) [8.0 MB] || a003007_320x240.mpg (320x240) [2.1 MB] || ",
"hits": 15
},
{
"id": 3005,
"url": "https://svs.gsfc.nasa.gov/3005/",
"result_type": "Visualization",
"release_date": "2004-09-13T12:00:00-04:00",
"title": "Hurricane Ivan Progression",
"description": "Closely watching Hurricane Ivan and its path. On September 13, 2004 Ivan is heading towards Cuba. || ",
"hits": 25
},
{
"id": 3006,
"url": "https://svs.gsfc.nasa.gov/3006/",
"result_type": "Visualization",
"release_date": "2004-09-13T12:00:00-04:00",
"title": "Hurricane Ivan Progression with Fixed View",
"description": "A fixed view of Hurricane Ivan's path. || ",
"hits": 25
},
{
"id": 3003,
"url": "https://svs.gsfc.nasa.gov/3003/",
"result_type": "Visualization",
"release_date": "2004-09-10T12:00:00-04:00",
"title": "Hurricane Ivan Heads Towards Jamaica",
"description": "Hurricane Ivan, a category 5 hurricane makes its way towards Jamaica, while scientist predict that its track will head towards Florida, making Ivan the third hurricane to hit the state within a month. || ",
"hits": 22
},
{
"id": 3004,
"url": "https://svs.gsfc.nasa.gov/3004/",
"result_type": "Visualization",
"release_date": "2004-09-10T12:00:00-04:00",
"title": "Hurricane Ivan Closes in on Jamaica",
"description": "With winds up to 140 mph, Hurricane Ivan speeds toward Jamaica. A category 4, Ivan moves further west towards the Gulf of Mexico. || ",
"hits": 18
},
{
"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": 27
},
{
"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": 15
},
{
"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": 16
},
{
"id": 2972,
"url": "https://svs.gsfc.nasa.gov/2972/",
"result_type": "Visualization",
"release_date": "2004-08-19T12:00:00-04:00",
"title": "Fires Ravage Parts of Alaska and Canada",
"description": "Alaska and Canada both suffered multi-fire damage. On June 29, 2004, these smoke plumes were detected from space by the Aqua satellite. || ",
"hits": 17
},
{
"id": 2973,
"url": "https://svs.gsfc.nasa.gov/2973/",
"result_type": "Visualization",
"release_date": "2004-08-19T12:00:00-04:00",
"title": "Alaska Fire Particles Traverse Parts of Canada and the United States (June 29, 2004, through July 19, 2004)",
"description": "Aerosols created by fires in Alaska and Canada waft over the United States. These images from the TOMS instrument show levels of the absorbing aerosol particles (airborne microscopic dust/smoke). More information on the TOMS instrument can be viewed at http://toms.gsfc.nasa.gov/index.html. || ",
"hits": 14
},
{
"id": 2965,
"url": "https://svs.gsfc.nasa.gov/2965/",
"result_type": "Visualization",
"release_date": "2004-07-16T12:00:00-04:00",
"title": "Fires and Smoke Across Alaska and Canada",
"description": "Alaska suffered from fire and smoke that can be seen from space. The Aqua satellite captured this breathtaking image on 29 June 2004. || ",
"hits": 27
},
{
"id": 2967,
"url": "https://svs.gsfc.nasa.gov/2967/",
"result_type": "Visualization",
"release_date": "2004-07-02T12:00:00-04:00",
"title": "TOMS sees continental effects of 2004 Alaskan Fires",
"description": "Wildfires started by lightning burned more than 80,000 acres in Alaska in June 2004. The effects of these fires can be seen across North America with the Total Ozone Mapping Spectrometer (TOMS) instrument on the Earth Probes spacecraft. TOMS detects the presence of UV-absorbing tropospheric aerosols across the globe. || ",
"hits": 15
},
{
"id": 2940,
"url": "https://svs.gsfc.nasa.gov/2940/",
"result_type": "Visualization",
"release_date": "2004-05-17T12:00:00-04:00",
"title": "TOMS Ozone Holds Key to Ozone Trends",
"description": "Chemicals and transport process have led to changes in the stratospheric ozone. Scientists need measurements of many different chemical species to puzzle out the observed changes. Aura data will improve our capability to predict ozone changes and help untangle the roles of transport and chemistry in determining ozone trends. This sequence starts with the actual size of our thin fragile part of our atmosphere that carries ozone. Then, the atmosphere is magnified. Inside, is a dynamic and active system of chemicals that moves ozone throughout our atmosphere. || ",
"hits": 10
},
{
"id": 2941,
"url": "https://svs.gsfc.nasa.gov/2941/",
"result_type": "Visualization",
"release_date": "2004-05-17T12:00:00-04:00",
"title": "TOMS Ozone Holds Key to Ozone Trends (with Height Indicator)",
"description": "Chemicals and transport process have led to changes in the stratospheric ozone. Scientists need measurements of many different chemical species to puzzle out the observed changes. Aura data will improve our capability to predict ozone changes and help untangle the roles of transport and chemistry in determining ozone trends. This sequence starts with the actual size of our thin fragile part of our atmosphere that carries ozone. Then, the atmosphere is magnified. Inside, is a dynamic and active system of chemicals that moves ozone throughout our atmosphere. || ",
"hits": 20
},
{
"id": 2942,
"url": "https://svs.gsfc.nasa.gov/2942/",
"result_type": "Visualization",
"release_date": "2004-05-17T12:00:00-04:00",
"title": "TOMS Ozone Holds Key to Ozone Trends (with Dates)",
"description": "Chemicals and transport process have led to changes in the stratospheric ozone. Scientists need measurements of many different chemical species to puzzle out the observed changes. Aura data will improve our capability to predict ozone changes and help untangle the roles of transport and chemistry in determining ozone trends. This sequence starts with the actual size of our thin fragile part of our atmosphere that carries ozone. Then, the atmosphere is magnified. Inside, is a dynamic and active system of chemicals that moves ozone throughout our atmosphere. || ",
"hits": 9
},
{
"id": 2896,
"url": "https://svs.gsfc.nasa.gov/2896/",
"result_type": "Visualization",
"release_date": "2004-02-11T12:00:00-05:00",
"title": "Wind Vectors for Hurricane Erin (WMS)",
"description": "This visualization shows wind vectors for Hurricane Erin on September 10, 2001. Wind direction and speed are represented by the direction and speed of moving arrows, respectively. This visualization represents a single measurement taken by the SeaWinds instrument on the QuikSCAT satellite, taken at 14:27:00 UTC on September 10, 2001. The WMS version of this visualization which is available through the SVS Image Server presents this visualization with a different timestamp for each frame in order to more easily present the images as a moving series of images. It should be noted that each frame really has a time stamp of 2001-09-10 14:27:00 UTC. || ",
"hits": 20
},
{
"id": 2858,
"url": "https://svs.gsfc.nasa.gov/2858/",
"result_type": "Visualization",
"release_date": "2003-11-24T12:00:00-05:00",
"title": "California Fires MODIS imagery and TOMS Aerosols from October 2003",
"description": "This animation sequences through the MODIS imagery of the devastating Californian fires from October 23, 2003 through October 29, 2003. Then the animation resets to October 23, 2003 and zooms out to see the TOMS aerosol sequence. It clearly shows that the California fires had an impact on air quality as far east as Maine. || ",
"hits": 13
},
{
"id": 20009,
"url": "https://svs.gsfc.nasa.gov/20009/",
"result_type": "Animation",
"release_date": "2003-11-05T12:00:00-05:00",
"title": "Dropsonde Hurricane Sensor",
"description": "Dropsondes Away! - Described by a researcher as 'Pringles cans with parachutes', scientists dropped sensors called 'dropsondes' into 2001's Hurricane Erin to gain temperature, pressure, moisture and wind readings throughout different locations in the hurricane. An ER-2 allows for eight dropsondes deliveries, while the fully staffed DC-8 plane drops as many as 15 dropsondes within the hurricane. || ",
"hits": 15
},
{
"id": 2822,
"url": "https://svs.gsfc.nasa.gov/2822/",
"result_type": "Visualization",
"release_date": "2003-09-30T12:00:00-04:00",
"title": "Recipe of a Hurricane (Part 2) — Wind Vectors (Match Rendered)",
"description": "This visualization was created in support of the 'Recipe for a Hurricane' live shot campaign. This is a visualization of Hurricane Erin on September 10, 2001. The visualization shows moving wind vectors from NASA's QuikSCAT spacecraft. This visualization was match-frame rendered (with alpha channel) to two other visualizations (winds and isosurfaces) and was intended to be shown edited together. || ",
"hits": 12
},
{
"id": 2706,
"url": "https://svs.gsfc.nasa.gov/2706/",
"result_type": "Visualization",
"release_date": "2003-03-06T12:00:00-05:00",
"title": "African Dust Sequence",
"description": "A 48-hour dust storm on March 1 and 2, 2003, is responsible for a very large dust transport over the Atlantic Ocean from March 2 through March 6, 2003. || ",
"hits": 21
},
{
"id": 832,
"url": "https://svs.gsfc.nasa.gov/832/",
"result_type": "Visualization",
"release_date": "1999-04-09T12:00:00-04:00",
"title": "Tropical Winds in the Stratosphere from HRDI (1991-1996)",
"description": "The High Resolution Doppler Interferometer (HRDI) measures winds in both the stratosphere and mesosphere. The tropical winds in the stratosphere undergo a slow two year variation called the quasibianunual oscillation. This oscillation controls mixing throughout the stratosphere and HRDI has given us much detail on wind changes associated with this oscillation. The animation indicates the line of zero wind speed in the zonal tropical winds, the height at which the winds change from eastward to westward. || ",
"hits": 31
}
]
}