{ "count": 401, "next": "https://svs.gsfc.nasa.gov/api/search/?keywords=For+Educators&limit=100&offset=100", "previous": null, "results": [ { "id": 5474, "url": "https://svs.gsfc.nasa.gov/5474/", "result_type": "Visualization", "release_date": "2025-01-20T00:00:00-05:00", "title": "Science On a Sphere: 4 Years of Biosphere", "description": "Biosphere data processed for display on Science On a Sphere (SOS)", "hits": 65 }, { "id": 5075, "url": "https://svs.gsfc.nasa.gov/5075/", "result_type": "Visualization", "release_date": "2023-02-13T00:00:00-05:00", "title": "Near Real-Time Global Biosphere", "description": "The latest 2.5 years of Biosphere data with date annotations. || nrtbio_print.jpg (1024x512) [205.4 KB] || nrtbio_searchweb.png (320x160) [88.7 KB] || nrtbio_thm.png (80x40) [7.2 KB] || Plate_Carree_with_Dates (4096x2048) [0 Item(s)] || nrtbio_annot_plate_2048p30.mp4 (4096x2048) [113.2 MB] || slide-01.hwshow ||", "hits": 0 }, { "id": 5006, "url": "https://svs.gsfc.nasa.gov/5006/", "result_type": "Visualization", "release_date": "2022-11-06T00:00:00-04:00", "title": "Global Biosphere March 2017 - Feb 2022", "description": "Example composite of 5 years of Mollweide projected data of Earth's biosphere beginning March 2017 through February 2022. || newbio_v34_mollweide_comp1130_print.jpg (1024x512) [186.1 KB] || newbio_v34_mollweide_comp1130_searchweb.png (180x320) [94.2 KB] || newbio_v34_mollweide_comp1130_thm.png (80x40) [7.4 KB] || Example_Composite (2000x1000) [0 Item(s)] || newbio_v34_mollweide_comp_1000p30.mp4 (2000x1000) [40.4 MB] || newbio_v34_mollweide_comp_1000p30.webm (2000x1000) [4.5 MB] || ", "hits": 69 }, { "id": 4823, "url": "https://svs.gsfc.nasa.gov/4823/", "result_type": "Visualization", "release_date": "2020-09-11T00:00:00-04:00", "title": "Draining the Oceans", "description": "Data visualization of the draining of the Earth's oceans. The visualization simulates an incremental drop of 10 meters of the water’s level on Earth’s surface. As time progresses and the oceans drain, it becomes evident that underwater mountain ranges are bigger in size and trenches are deeper in comparison to those on dry land. While water drains quickly closer to continents, it drains slowly in our planet’s deepest trenches. || OceanDrain_3840x2160_60fps_0837_print.jpg (1024x576) [259.5 KB] || OceanDrain_3840x2160_60fps_0837_print_searchweb.png (320x180) [97.8 KB] || OceanDrain_3840x2160_60fps_0837_print_thm.png (80x40) [7.8 KB] || OceanDrain_1920x1080_30fps.mp4 (1920x1080) [44.2 MB] || OceanDrain_1920x1080_30fps.webm (1920x1080) [4.3 MB] || OceanDrain (3840x2160) [0 Item(s)] || OceanDrain (3840x2160) [0 Item(s)] || OceanDrain_3840x2160_60fps_0837.tif (3840x2160) [31.6 MB] || OceanDrain_3840x2160_30fps.mp4 (3840x2160) [154.1 MB] || OceanDrain_1920x1080_30fps.mp4.hwshow [192 bytes] || ", "hits": 797 }, { "id": 4813, "url": "https://svs.gsfc.nasa.gov/4813/", "result_type": "Visualization", "release_date": "2020-04-21T00:00:00-04:00", "title": "Earth Day 2020: Biosphere", "description": "Global Biosphere data from 1997 through 2017 with corresponding colorbars and date stamp.This video is also available on our YouTube channel. || earthday_bio_comp.0000_print.jpg (1024x576) [95.0 KB] || earthday_bio_comp.0000_searchweb.png (320x180) [51.5 KB] || earthday_bio_comp.0000_thm.png (80x40) [5.0 KB] || earthday_biosphere_composite (1920x1080) [0 Item(s)] || earthday_bio_comp_1080p30.webm (1920x1080) [17.9 MB] || earthday_bio_comp_1080p30.mp4 (1920x1080) [106.0 MB] || captions_silent.29351.en_US.srt [43 bytes] || earthday_bio_comp_1080p30.mp4.hwshow [191 bytes] || ", "hits": 80 }, { "id": 12889, "url": "https://svs.gsfc.nasa.gov/12889/", "result_type": "Produced Video", "release_date": "2018-03-08T11:45:00-05:00", "title": "Mission Possible: Women of the Hubble Space Telescope", "description": "When they were growing up, six women couldn’t have imagined that their lives would take them on a journey to NASA to work with the Hubble Space Telescope. From astronaut to social media lead, from scientists to engineers, these featured \"Women of Hubble\" overcame obstacles and persevered to achieve success and help make Hubble one of the greatest exploration machines in human history. Their inspirational stories teach us that anyone can succeed if you stay curious, never give up, and don’t let anything keep you from reaching your goals. || ", "hits": 34 }, { "id": 4597, "url": "https://svs.gsfc.nasa.gov/4597/", "result_type": "Visualization", "release_date": "2017-11-16T15:00:00-05:00", "title": "Earth: Our Living Planet (Updated)", "description": "Twenty years of global biosphere data mapped on a slowly spinning globe. || slow_spin_4k.5542_print.jpg (1024x576) [83.1 KB] || slow_spin_4k.5542_searchweb.png (320x180) [48.3 KB] || slow_spin_4k.5542_thm.png (80x40) [4.4 KB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || slow_spin_1080p30.webm (1920x1080) [17.8 MB] || slow_spin_1080p30.mp4 (1920x1080) [119.2 MB] || 3840x2160_16x9_30p (3840x2160) [0 Item(s)] || slow_spin_4k.mp4 (3840x2160) [397.0 MB] || ", "hits": 84 }, { "id": 4596, "url": "https://svs.gsfc.nasa.gov/4596/", "result_type": "Visualization", "release_date": "2017-11-14T17:00:00-05:00", "title": "20 Years of Global Biosphere (updated)", "description": "This Mollweide projected data visualization shows 20 years of Earth's biosphere starting in September 1997 going through September 2017. Data for this visualization was collected from multiple satellites over the past twenty years. || biosphere7_mollweide.4507_print.jpg (576x1024) [192.2 KB] || biosphere7_mollweide.4507_searchweb.png (180x320) [91.0 KB] || biosphere7_mollweide.4507_thm.png (80x40) [7.4 KB] || mollweide_annotated (1920x1080) [0 Item(s)] || biosphere7_mollweide_1080p30.webm (1920x1080) [17.8 MB] || biosphere7_mollweide_1080p30.mp4 (1920x1080) [264.8 MB] || biosphere7_mollweide_1080p30.mp4.hwshow || ", "hits": 177 }, { "id": 4272, "url": "https://svs.gsfc.nasa.gov/4272/", "result_type": "Visualization", "release_date": "2015-02-09T00:00:00-05:00", "title": "What Would have Happened to the Ozone Layer if Chlorofluorocarbons (CFCs) had not been Regulated? (UPDATED)", "description": "World Avoided Ozone Full AnimationThis video is also available on our YouTube channel. || world_avoided_robinson.1830_print.jpg (1024x576) [70.0 KB] || world_avoided_robinson.1830_searchweb.png (180x320) [38.8 KB] || world_avoided_robinson.1830_thm.png (80x40) [4.7 KB] || full_movie (1920x1080) [0 Item(s)] || world_avoided_robinson_1080.mp4 (1920x1080) [26.3 MB] || world_avoided_robinson_1080.webm (1920x1080) [7.2 MB] || world_avoided_robinson_4272.pptx [27.2 MB] || world_avoided_robinson_4272.key [29.8 MB] || world_avoided_robinson_1080.mp4.hwshow || ", "hits": 100 }, { "id": 4134, "url": "https://svs.gsfc.nasa.gov/4134/", "result_type": "Visualization", "release_date": "2014-01-16T00:00:00-05:00", "title": "Groundwater Depletion in India Revealed by GRACE -Extended", "description": "Scientists using data from NASA's Gravity Recovery and Climate Experiment (GRACE) have found that the groundwater beneath Northern India has been receding by as much as one foot per year over the past decade. After examining many environmental and climate factors, the team of hydrologists led by Matt Rodell of NASA's Goddard Space Flight Center, Greenbelt, Md. concluded that the loss is almost entirely due to human consumption.Groundwater comes from the natural percolation of precipitation and other surface waters down through Earth's soil and rock, accumulating in aquifers - cavities and layers of porous rock, gravel, sand, or clay. In some subterranean reservoirs, the water may be thousands to millions of years old; in others, water levels decline and rise again naturally each year. Groundwater levels do not respond to changes in weather as rapidly as lakes, streams, and rivers do. So when groundwater is pumped for irrigation or other uses, recharge to the original levels can take months or years. The animation shown here depicts the change in groundwater levels with respect to the 2003-2009 mean, as measured each month from January 2003 to June 2013. || ", "hits": 133 }, { "id": 3938, "url": "https://svs.gsfc.nasa.gov/3938/", "result_type": "Visualization", "release_date": "2012-04-11T00:00:00-04:00", "title": "Biosphere Data 2000 through 2004", "description": "The SeaWiFS instrument aboard the SeaStar satellite has been collecting ocean data since 1997. By monitoring the color of reflected light via satellite, scientists can determine how successfully plant life is photosynthesizing. A measurement of photosynthesis is essentially a measurement of successful growth, and growth means successful use of ambient carbon. This animation represents nearly a decade's worth of data taken by the SeaWiFS instrument, showing the abundance of life in the sea and along the Western seaboard of the United States. Dark blue represents warmer areas where there is little life due to lack of nutrients, and greens and reds represent cooler nutrient-rich areas. The nutrient-rich areas include coastal regions where cold water rises from the sea floor bringing nutrients along and areas at the mouths of rivers where the rivers have brought nutrients into the ocean from the land. The nutrient-rich waters contribute to some of the oxygen-poor pockets of the seas called dead zones. || ", "hits": 12 }, { "id": 3870, "url": "https://svs.gsfc.nasa.gov/3870/", "result_type": "Visualization", "release_date": "2011-10-18T23:00:00-04:00", "title": "African Fire Observations and MODIS NDVI", "description": "From space, we can understand fires in ways that are impossible from the ground. The MODIS instrument onboard the Terra and Aqua satellite, was specifically designed to detect fires. As a result, it can see both smaller fires and a wide range of fires from cool grass fires to raging forest fires. Burning carbon particles both on the tiny soot particles in the flame and on the fuel itself emit a very specific wavelength of light, 3.8 to 4 microns. NASA research has contributed to much improved detection of fire for scientific purposes using satellite remote sensing and geographic information systems. This has helped advance our understanding of the impacts of fire in many areas of earth science, including atmospheric chemistry and the impacts on protected areas. This research has led to the development of a rapid response system widely used throughout the world for both natural resource management and for firefighting by providing near real-time information. The visualization shows fires detected in Africa from July 2002 through July 2011. Africa has more abundant burning than any other continent. MODIS observations have shown that some 70 percent of the world's fires occur in Africa alone. \"It's incredibly satisfying to see such a long record of fires visualized,\" said Chris Justice, a scientist from the University of Maryland who leads NASA's effort to use MODIS data to study the world's fires. \"It's not only exciting visually, but what you see here is a very good representation of the data scientists use to understand the global distribution of fires and to determine where and how fires are responding to climate change and population growth.\"More information on the Fire Information for Resource Management (FIRMS) is available at http://maps.geog.umd.edu/firms/. || ", "hits": 40 }, { "id": 3869, "url": "https://svs.gsfc.nasa.gov/3869/", "result_type": "Visualization", "release_date": "2011-10-18T19:00:00-04:00", "title": "Boreal Forest Fire Observations and MODIS NDVI", "description": "NASA has released a series of new visualizations that show the locations of the millions of fires detected by key fire-monitoring instruments on NASA satellites over the last decade. This visualization shows fire observations made by the MODerate Resolution Imaging Spectroradiometer (MODIS) instruments on board the Terra and Aqua satellites in Europe and Asia from July 2002 through July 2011. \"It's incredibly satisfying to see such a long record of fires visualized,\" said Chris Justice, a scientist from the University of Maryland who leads NASA's effort to use MODIS data to study the world's fires. \"It's not only exciting visually, but what you see here is a very good representation of the data scientists use to understand the global distribution of fires and to determine where and how fires are responding to climate change and population growth.\"More information on the Fire Information for Resource Management System (FIRMS) is available at https://earthdata.nasa.gov/earth-observation-data/near-real-time/firms. || ", "hits": 27 }, { "id": 3871, "url": "https://svs.gsfc.nasa.gov/3871/", "result_type": "Visualization", "release_date": "2011-10-18T19:00:00-04:00", "title": "Australia Fire Observations and MODIS NDVI", "description": "From space, we can understand fires in ways that are impossible from the ground. The MODIS instrument onboard the Terra and Aqua satellite, was specifically designed to detect fires. This visualization shows fire detections from July 2002 through July 2011. The visualization also includes vegetation and snow cover data to show how fires respond to seasonal changes. The tour begins in Australia in 2002 by showing a network of massive grassland fires spreading across interior Australia as well as the greener Eucalyptus forests in the northern and eastern part of the continent.More information on the Fire Information for Resource Management (FIRMS) is available at http://maps.geog.umd.edu/firms/. || ", "hits": 22 }, { "id": 3872, "url": "https://svs.gsfc.nasa.gov/3872/", "result_type": "Visualization", "release_date": "2011-10-18T19:00:00-04:00", "title": "South American Fire Observations and MODIS NDVI", "description": "From space, we can understand fires in ways that are impossible from the ground. NASA research has contributed to much improved detection of fire for scientific purposes using satellite remote sensing and geographic information systems. This visualization of South America shows fire observations made by MODerate Resolution Imaging Spectroradiometer (MODIS) instruments on board the Terra and Aqua satellites . South America exhibits a steady flickering of fire across much of the Amazon rainforest with peaks of activity in September and November. Almost all of the fires in the Amazon are the direct result of human activity, including slash-and-burn agriculture, because the high moisture levels in the region prevent inhibit natural fires from occurring.More information on the Fire Information for Resource Management (FIRMS) is available at http://maps.geog.umd.edu/firms/. || ", "hits": 35 }, { "id": 3873, "url": "https://svs.gsfc.nasa.gov/3873/", "result_type": "Visualization", "release_date": "2011-10-18T19:00:00-04:00", "title": "United States Fire Observations and MODIS NDVI", "description": "From space, we can understand fires in ways that are impossible from the ground. NASA has released a series of new visualizations that show fires detected by key fire-monitoring instruments on NASA satellites over the last decade. The visualizations show fire observations made by MODerate Resolution Imaging Spectroradiometer (MODIS) instruments on board the Terra and Aqua satellites. The visualization also includes vegetation and snow cover data to show how fires respond to seasonal changes. \"It's incredibly satisfying to see such a long record of fires visualized,\" said Chris Justice, a scientist from the University of Maryland who leads NASA's effort to use MODIS data to study the world's fires. \"It's not only exciting visually, but what you see here is a very good representation of the data scientists use to understand the global distribution of fires and to determine where and how fires are responding to climate change and population growth.\" North America is a region where fires are comparatively rare. North American fires make up just 2 percent of the world's burned area each year. The fires that receive the most attention in the United States, the uncontrolled forest fires in the West, are less visible than the wave of agricultural fires prominent in the Southeast and along the Mississippi River Valley, but some of the large wildfires that struck Texas earlier this spring are visible.More information on the Fire Information for Resource Management (FIRMS) is available at http://maps.geog.umd.edu/firms/. || ", "hits": 31 }, { "id": 3868, "url": "https://svs.gsfc.nasa.gov/3868/", "result_type": "Visualization", "release_date": "2011-10-18T01:00:00-04:00", "title": "Global Fire Observations and MODIS NDVI", "description": "This visualization leads viewers on a narrated global tour of fire detections beginning in July 2002 and ending July 2011. The visualization also includes vegetation and snow cover data to show how fires respond to seasonal changes. The tour begins in Australia in 2002 by showing a network of massive grassland fires spreading across interior Australia as well as the greener Eucalyptus forests in the northern and eastern part of the continent. The tour then shifts to Asia where large numbers of agricultural fires are visible first in China in June 2004, then across a huge swath of Europe and western Russia in August, and then across India and Southeast Asia through the early part of 2005. It moves next to Africa, the continent that has more abundant burning than any other. MODIS observations have shown that some 70 percent of the world's fires occur in Africa alone. In what's a fairly average burning season, the visualization shows a huge outbreak of savanna fires during the dry season in Central Africa in July, August, and September of 2006, driven mainly by agricultural activities but also by the fact that the region experiences more lightning than anywhere else in the world. The tour shifts next to South America where a steady flickering of fire is visible across much of the Amazon rainforest with peaks of activity in September and November of 2009. Almost all of the fires in the Amazon are the direct result of human activity, including slash-and-burn agriculture, because the high moisture levels in the region prevent inhibit natural fires from occurring. It concludes in North America, a region where fires are comparatively rare. North American fires make up just 2 percent of the world's burned area each year. The fires that receive the most attention in the United States, the uncontrolled forest fires in the West, are less visible than the wave of agricultural fires prominent in the Southeast and along the Mississippi River Valley, but some of the large wildfires that struck Texas earlier this spring are visible. More information on the Fire Information for Resource Management System (FIRMS) is available at http://maps.geog.umd.edu/firms/. || ", "hits": 63 }, { "id": 3738, "url": "https://svs.gsfc.nasa.gov/3738/", "result_type": "Visualization", "release_date": "2010-07-23T00:00:00-04:00", "title": "2007 Greenland Melt Season Study", "description": "The Greenland ice sheet has been the focus of attention recently because of increasing melt in response to regional climate change. Several different remote sensing data products have been used to study surface and near-surface melt characteristics of the Greenland ice sheet for the 2007 melt season when record melt extent and runoff occurred. Here, MODIS daily land surface temperature and a special diurnal melt product, derived from QuikSCAT scatterometer data, measure the evolution of melt on the ice sheet. Although these daily products are sensitive to different geophysical features, they show excellent correspondence when surface melt is present. This animation displays these two geophysical data products of the Greenland ice sheet side-by-side, showing MODIS data on the left side and QuikSCAT data on the right. The 2007 melt season is shown twice. In the first sequence, MODIS surface temperature is compared with several categories of QuikSCAT melt between March 15th and October 13th, 2010. During this sequence, active melt detected by QuikSCAT is shown in light blue, reduced melt is medium blue, and completed melt is dark blue. For the MODIS, surface temperature is shown with the color scale — red indicates a surface temperature greater than -1 degree Celsius. As MODIS shows warmer surface temperature as the melt season progresses, QuikSCAT consistently identifies the corresponding melt.In the second sequence, the MODIS and QuikSCAT melted regions of the ice sheet were accumulated during the melt season. QuikSCAT captures melt earlier, and then melt is detected by MODIS shortly afterward at a higher spatial resolution. The final result (frame) shows the seasonal melt extent which was consistently delineated by both sensors. The cross-verification of these independent measurements, by two different instruments on different satellites, provides a higher confidence level in the melt observations, reducing the uncertainty in climate assessment of Greenland melt. || ", "hits": 24 }, { "id": 3746, "url": "https://svs.gsfc.nasa.gov/3746/", "result_type": "Visualization", "release_date": "2010-07-01T20:00:00-04:00", "title": "Hurricane Alex Makes Landfall in Northeastern Mexico", "description": "NASA's TRMM spacecraft observed this view of Hurricane Alex on June 30, 2010 at 2103 UTC (5:02 PM EST). At this time, Hurricane Alex was increasing in intensity and had become a category 2 storm with estimated winds at 75 knots (~86.4 mph) and a pressure reading of 962 mb. The rain structure is taken by TRMM's Tropical Microwave Imager (TMI) and TRMM's Precitation Radar (PR) instruments. The TMI rainfall analysis shows that Alex had a well defined eye containing powerful thounderstorms that were dropping extreme amounts of rain. The clouds are taken by TRMM's visible-infrared radiometer (VIRS) and the National Oceanic and Atmospheric Administration (NOAA) Geostationary Operational Environmental Satellite (GOES-13) infrared instrument. TRMM looks underneath of the storm's clouds to reveal the underlying rain structure. The colored isosurface under the clouds show the rain seen by the PR instrument. Areas of extremely heavy rainfall are colored in red. Heavy rainfall are colored in yellow, moderate rainfall are colored in green, and light rain are in blue. || ", "hits": 75 }, { "id": 3745, "url": "https://svs.gsfc.nasa.gov/3745/", "result_type": "Visualization", "release_date": "2010-07-01T00:00:00-04:00", "title": "Hurricane Katrina 3D Stereoscopic Viewfinder Image", "description": "NASA's TRMM spacecraft observed this view of Hurricane Katrina on August 28, 2005. At the time the data was collected, Katrina was a Category 5 hurricane, the most destructive and deadly. The cloud cover data was taken by TRMM's Visible and Infrared Scanner (VIRS), with additional data from the GOES spacecraft. The rain structure data was taken by TRMM's Tropical Microwave Imager (TMI). This view looks underneath the storm's clouds to reveal the underlying rain structure. This stereoscopic still image was created from a previous visualization and is intended for viewing through a special NASA Earth Science Viewfinder available through NASA Headquarters. Below, we include an anaglyph version, a printable viewfinder version, and the individual left eye and right eye views. || ", "hits": 32 }, { "id": 3719, "url": "https://svs.gsfc.nasa.gov/3719/", "result_type": "Visualization", "release_date": "2010-06-24T00:00:00-04:00", "title": "MERRA Specific Humidity", "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 specific humidity dataset produced by MERRA, up to a geopotential height of 20 km. The height coordinate is greatly exaggerated. Both opacity and color are driven by the data value.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": 32 }, { "id": 3732, "url": "https://svs.gsfc.nasa.gov/3732/", "result_type": "Visualization", "release_date": "2010-06-24T00:00:00-04:00", "title": "MERRA Relative Humidity", "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 relative humidity dataset produced by MERRA, up to a geopotential height of 20 km. The height coordinate is greatly exaggerated. Both opacity and color are driven by the data value.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": 67 }, { "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": 38 }, { "id": 3734, "url": "https://svs.gsfc.nasa.gov/3734/", "result_type": "Visualization", "release_date": "2010-06-24T00:00:00-04:00", "title": "MERRA Combined Liquid Water and Ice Mixing Ratios", "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 liquid water and ice mixing ratio dataset produced by MERRA, roughly corresponding to cloud cover, up to an geopotential height of 20 km. The height coordinate is greatly exaggerated. Both opacity and color are driven by the data value.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": 25 }, { "id": 3730, "url": "https://svs.gsfc.nasa.gov/3730/", "result_type": "Visualization", "release_date": "2010-06-22T00:00:00-04:00", "title": "Lunar Topography: ULCN versus LOLA", "description": "This animation illustrates the dramatic improvement in our knowledge of the Moon's terrain made possible by the Lunar Orbiter Laser Altimeter (LOLA) instrument onboard the Lunar Reconnaissance Orbiter (LRO) spacecraft. A LOLA digital elevation map compiled in late 2009 is compared to the Unified Lunar Control Network (ULCN) 2005, a painstakingly constructed map based on the best available data at the time, including imagery from the Clementine, Apollo, Mariner 10, and Galileo missions as well as Earth-based observations.The height of the terrain is color-coded, with blues and greens representing low altitudes and reds representing high altitudes. The LOLA data used to create this media is available to the public in the LOLA archive of the PDS Geosciences node. || ", "hits": 352 }, { "id": 3731, "url": "https://svs.gsfc.nasa.gov/3731/", "result_type": "Visualization", "release_date": "2010-06-21T00:00:00-04:00", "title": "LOLA: Lunar Topography in Natural Color", "description": "This animation is a brief tour of several prominent features of the Moon's terrain: Tycho crater, the south pole, and the South Pole-Aitken basin. It is match-moved to a companion piece showing the terrain elevations in false color.This is an update of animation 3594, which was produced before the launch of Lunar Reconnaissance Orbiter. Except for the Tycho crater inset, the elevation map in this updated version is based entirely on early results of the Lunar Orbiter Laser Altimeter onboard LRO.The surface appearance is derived from photographs taken by the Clementine spacecraft. Although it shows the visible surface in natural color, this animation does not depict realistic sunlight and shadows. This is especially significant near the poles, where certain parts of the terrain can be in permanent shadow and would never be fully visible in the manner depicted here. || ", "hits": 236 }, { "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": 158 }, { "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": 21 }, { "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": 84 }, { "id": 3728, "url": "https://svs.gsfc.nasa.gov/3728/", "result_type": "Visualization", "release_date": "2010-06-17T00:00:00-04:00", "title": "Magellan: Venus False-Color Terrain", "description": "This animation is a brief tour of the global terrain of the planet Venus as revealed by radar onboard the Magellan spacecraft. The height of the terrain is color-coded, with blues and greens representing low altitudes and reds representing high altitudes. Highlighted are two large \"continents,\" or highlands, Aphrodite Terra and Ishtar Terra; the Maxwell Montes mountain range; and Maat Mons, a large, currently dormant volcano.Magellan arrived at Venus in August of 1990 and spent four years there collecting data. The elevation map used here was created with data collected during the first mapping cycle. Many of the coverage gaps, represented here by black pixels, were filled in during later mapping cycles. || ", "hits": 268 }, { "id": 3729, "url": "https://svs.gsfc.nasa.gov/3729/", "result_type": "Visualization", "release_date": "2010-06-15T00:00:00-04:00", "title": "Byrd Glacier", "description": "LIMA presents the first-ever, true-color, high-resolution view of Antarctica. Prepared from 1100 Landsat-7 images collected from 1999 to 2003, it provides scientists and non-scientists a stunning \"you are there\" view of the least familiar continent. Shown here are two perspectives of Byrd Glacier, one of the largest in Antarctica. The down-glacier view (above) looks northeastward and the up-glacier regional view (below) looks southward toward the South Pole which is 1050 km distant. The 15-meter resolution imagery is draped over the Radarsat Antarctic Mapping Project Digital Elevation Model Version 2. Byrd Glacier plunges through a deep valley in the Transatlantic Mountains and onto the Ross Ice Shelf, dropping more than 4,300 feet over a distance of 112 miles. It remains a distinct ice stream all the way to the edge of the shelf, some 260 miles from the foot of the mountains to the open sea. || ", "hits": 22 }, { "id": 3727, "url": "https://svs.gsfc.nasa.gov/3727/", "result_type": "Visualization", "release_date": "2010-06-11T00:00:00-04:00", "title": "LOLA Lunar Topography in False Color", "description": "This animation is a brief tour of several prominent features of the Moon's terrain: Tycho crater, the south pole, and the South Pole-Aitken basin. The height of the terrain is color-coded, with blues and greens representing low altitudes and reds representing high altitudes. The view is match-moved to a companion piece showing the Moon in natural colors.This is an update of animation 3582, which was produced before the launch of Lunar Reconnaissance Orbiter. Except for the Tycho crater inset, the elevation map in this updated version is based entirely on early results of the Lunar Orbiter Laser Altimeter onboard LRO. These results already represent a substantial improvement in our knowledge of the Moon's topography. || ", "hits": 160 }, { "id": 3667, "url": "https://svs.gsfc.nasa.gov/3667/", "result_type": "Visualization", "release_date": "2010-06-03T00:00:00-04:00", "title": "Ship Tracks Reveal Pollution's Effects on Clouds", "description": "NASA's MODIS satellite instrument is revealing that humans may be changing our planet's brightness. Pollution in the atmosphere creates smaller, brighter cloud droplets that reflect more sunlight back to space and may have a slight impact on global warming.This narrated visualization illustrates how we can study the effect against a clean backdrop by looking for zones of pollution in otherwise pristine air - in this case the North Pacific Ocean near the Aleutian islands. On an overcast day, the clouds look uniform. However, MODIS' sesor reveals a different picture - long skinny trails of brighter clouds hidden within. As ships travel across the ocean, pollution in the ships' exhaust create more cloud drops that are smaller in size, resulting in even brighter clouds. On clear days, ships can actually create new clouds. Water vapor condenses around the particles of pollution, forming streamers of clouds as the ships travel on. The ship tracks themselves are too small to impact global temperatures, but they help us understand how larger pollution sources such as industrial sites or agricultural burning might be changing clouds on a larger scale. || ", "hits": 73 }, { "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": 17 }, { "id": 3720, "url": "https://svs.gsfc.nasa.gov/3720/", "result_type": "Visualization", "release_date": "2010-05-12T00:00:00-04:00", "title": "Annual Gradient Melt over Greenland 1979 Through 2009", "description": "The ice sheet melt extent is a daily (or every-other-day, prior to August 1987) estimate of the spatial extent of wet snow on the Greenland ice sheet derived from passive microwave satellite brightness temperature characteristics. This indicator of melt on each area of the ice sheet for each day of observation is physically based on the changes in microwave emission characteristics observable in data. Although it is not a direct measure of the snow wetness, it is representative of the amount of ice loss due to seasonal melting that occurs on the Greenland ice sheet.This animation is a time series showing the regions of the Greenland ice sheet where melt occurred for more than three days between May 1st and September 30th for each year. Areas in which melt occurred for longer time periods are shown in a darker red while those areas melted for fewer days are shown in lighter red. Areas melted three or less days during the year are not colored. || ", "hits": 45 }, { "id": 3721, "url": "https://svs.gsfc.nasa.gov/3721/", "result_type": "Visualization", "release_date": "2010-05-12T00:00:00-04:00", "title": "Annual Accumulated Melt over Greenland 1979 through 2009", "description": "The ice sheet melt extent is a daily (or every-other-day, prior to August, 1987) estimate of the spatial extent of wet snow on the Greenland ice sheet derived from passive microwave satellite brightness temperature characteristics. This indicator of melt on each area of the ice sheet for each day of observation is physically based on the changes in microwave emission characteristics observable in data.", "hits": 40 }, { "id": 3707, "url": "https://svs.gsfc.nasa.gov/3707/", "result_type": "Visualization", "release_date": "2010-05-01T00:00:00-04:00", "title": "Five Spheres - Land Changes through NDVI", "description": "Satellite data can be used to monitor the health of plant life from space. The Normalized Difference Vegetation Index (NDVI) provides a simple numerical indicator of the health of vegetation which can be used to monitoring changes in vegetation over time. This animation shows the seasonal changes in vegetation by fading between average monthly NDVI data from 2004. This animation of land changes is match framed to animation id a003708, a003709, a003710, and a003711. || ", "hits": 128 }, { "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": 24 }, { "id": 3709, "url": "https://svs.gsfc.nasa.gov/3709/", "result_type": "Visualization", "release_date": "2010-05-01T00:00:00-04:00", "title": "Five Spheres - Biosphere", "description": "Satellite data can be used to monitor the health of the biosphere from space. This animation of seasonal changes to the biosphere is match framed to animation entries 3707, 3708, 3710, and 3711. The SeaWiFS instrument is carried aboard the satellite OrbView-2, providing important information about the oceans, the land, and the life within them. On land, the dark greens show where there is abundant vegetation and tans show relatively sparse plant cover. In the oceans, red, yellow, and green pixels show dense phytoplankton blooms, those regions of the ocean that are the most productive over time, while blues and purples show where there is very little of the microscopic marine plants called phytoplankton. For most of the world's oceans, the most important things that influence its color are phytoplankton. Phytoplankton are very small, single-celled plants, generally smaller than the size of a pinhead that contain a green pigment called chlorophyll. All plants (on land and in the ocean) use chlorophyll to capture energy from the sun and through the process known as photosynthesis convert water and carbon dioxide into new plant material and oxygen. Although microscopic, phytoplankton can bloom in such large numbers that they can change the color of the ocean to such a degree that we can measure that change from space. The basic principle behind the remote sensing of ocean color from space is this: the more phytoplankton in the water, the greener it is...the less phytoplankton, the bluer it is. For more information, visit http://oceancolor.gsfc.nasa.gov/SeaWiFS/. || ", "hits": 159 }, { "id": 3710, "url": "https://svs.gsfc.nasa.gov/3710/", "result_type": "Visualization", "release_date": "2010-05-01T00:00:00-04:00", "title": "Five Spheres - Cryosphere", "description": "Sea ice is frozen seawater floating on the surface of the ocean. Some sea ice is semi-permanent, persisting from year to year, and some is seasonal, melting and refreezing from season to season. The sea ice cover reaches its minimum extent at the end of each summer and the remaining ice is called the perennial ice cover. The Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E) instrument on the NASA Earth Observing System (EOS) Aqua satellite, provides data mapped to a polar stereographic grid at 12.5 km spatial resolution. This satellite data can be used to monitor the health of the cryosphere from space. This animation of sea ice changes in the Arctic is match framed to animation entries 3707, 3708, 3709, and 3711. Over the water, Arctic sea ice changes from day to day showing a running 3-day maximum sea ice concentration in the region where the concentration is greater than 15%. The blueish white color of the sea ice is derived from a 3-day running maximum of the AMSR-E 89 GHz brightness temperature. Over the terrain, monthly data from the seasonal Blue Marble Next Generation fades slowly from month to month.For more information about sea ice see http://nsidc.org/data/amsre or http://modis-snow-ice.gsfc.nasa.gov. || ", "hits": 33 }, { "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": 20 }, { "id": 3692, "url": "https://svs.gsfc.nasa.gov/3692/", "result_type": "Visualization", "release_date": "2010-04-21T14:15:00-04:00", "title": "SDO/AIA CME Event of April 8, 2010 (Multiband)", "description": "This is a close-up view of the April 8 CME in ultraviolet light which reveals a wave (darker regions) expanding outward from the flare event. This movie creates a color image by combining filters for 211 Ångstroms (red), 193 Ångstroms (green) and 171 Ångstroms (blue). || ", "hits": 25 }, { "id": 3693, "url": "https://svs.gsfc.nasa.gov/3693/", "result_type": "Visualization", "release_date": "2010-04-21T14:15:00-04:00", "title": "SDO/AIA Zoom-In on Launching Filament (Bands 304, 171, 211)", "description": "As the AIA camera was activated, one of its first views was this fliament launching from the Sun. || ", "hits": 17 }, { "id": 3695, "url": "https://svs.gsfc.nasa.gov/3695/", "result_type": "Visualization", "release_date": "2010-04-21T14:15:00-04:00", "title": "SDO/AIA CME Event of April 8, 2010 Full Disk (Multiband)", "description": "This visualization is a full-disk view of the CME launched from the Sun on April 8, 2010. This is a 3-color image produced by combining three different filters from the AIA instrument: 211 (red), 193 (green), and 171 (blue). || ", "hits": 36 }, { "id": 3696, "url": "https://svs.gsfc.nasa.gov/3696/", "result_type": "Visualization", "release_date": "2010-04-21T14:15:00-04:00", "title": "SDO/HMI Continuum Full Disk View - March 29, 2010", "description": "This early sequence of HMI images from SDO focuses on a large sunspot group of Solar Cycle 24. || ", "hits": 47 }, { "id": 3697, "url": "https://svs.gsfc.nasa.gov/3697/", "result_type": "Visualization", "release_date": "2010-04-21T14:15:00-04:00", "title": "SDO/HMI Magnetogram Full Disk View - March 29, 2010", "description": "This early sequence of images from the HMI imager is processed to reveal the magnetic field structure (magnetogram). White locations represent a positive magnetic field value (north polarity) while black represents a negative magnetic field value (south polarity). Grey is zero magnetic field.The black and white region slightly above the center corresponds to a visible sunspot. Weaker magnetic regions are visible around the disk. || ", "hits": 49 }, { "id": 3703, "url": "https://svs.gsfc.nasa.gov/3703/", "result_type": "Visualization", "release_date": "2010-04-21T14:15:00-04:00", "title": "SDO/HMI Continuum Sunspot Closeup - March 29, 2010", "description": "This is a close-up view of a large sunspot group visible as the HMI instrument turned on their imagers. || ", "hits": 33 }, { "id": 3704, "url": "https://svs.gsfc.nasa.gov/3704/", "result_type": "Visualization", "release_date": "2010-04-21T14:15:00-04:00", "title": "SDO/HMI Continuum Sunspot Zoom-in - March 29, 2010", "description": "This is a zoom-in view of a large sunspot group visible as the HMI instrument turned on their imagers. || ", "hits": 36 }, { "id": 3705, "url": "https://svs.gsfc.nasa.gov/3705/", "result_type": "Visualization", "release_date": "2010-04-21T14:15:00-04:00", "title": "SDO/HMI Magnetogram Sunspot Close-Up - March 29, 2010", "description": "This early sequence of images from the HMI imager is processed to reveal the magnetic field structure (magnetogram). White locations represent a positive magnetic field value (north polarity) while black represents a negative magnetic field value (south polarity). Grey is zero magnetic field.This version is a close-up view of a large sunspot group. || ", "hits": 39 }, { "id": 3706, "url": "https://svs.gsfc.nasa.gov/3706/", "result_type": "Visualization", "release_date": "2010-04-21T14:15:00-04:00", "title": "SDO/HMI Magnetogram Sunspot Zoom-In - March 29, 2010", "description": "This early sequence of images from the HMI imager is processed to reveal the magnetic field structure (magnetogram). White locations represent a positive magnetic field value (north polarity) while black represents a negative magnetic field value (south polarity). Grey is zero magnetic field.This movie zooms-in on a large sunspot group. || ", "hits": 24 }, { "id": 3712, "url": "https://svs.gsfc.nasa.gov/3712/", "result_type": "Visualization", "release_date": "2010-04-21T14:15:00-04:00", "title": "SDO/HMI Continuum Full Disk View - April 7, 2010", "description": "This early sequence of HMI images from SDO focuses on a large sunspot group of Solar Cycle 24. || ", "hits": 108 }, { "id": 3713, "url": "https://svs.gsfc.nasa.gov/3713/", "result_type": "Visualization", "release_date": "2010-04-21T14:15:00-04:00", "title": "SDO/HMI Magnetogram Full Disk View - April 7, 2010", "description": "This early sequence of images from the HMI imager is processed to reveal the magnetic field structure (magnetogram). White locations represent a positive magnetic field value (north polarity) while black represents a negative magnetic field value (south polarity). Gray is zero magnetic field.Notice that the surface magnetic fields reveal much more structure than the white-light images in SDO/HMI Continuum Full Disk View - April 7, 2010. || ", "hits": 32 }, { "id": 3714, "url": "https://svs.gsfc.nasa.gov/3714/", "result_type": "Visualization", "release_date": "2010-04-21T14:15:00-04:00", "title": "SDO/HMI Dopplergram Sunspot Close-Up - March 29, 2010", "description": "The dopplergram from SDO/HMI data shows the velocity of solar material on the line-of-sight. White pixels are moving away from the camera and black pixels are moving towards the camera. || ", "hits": 27 }, { "id": 3715, "url": "https://svs.gsfc.nasa.gov/3715/", "result_type": "Visualization", "release_date": "2010-04-21T14:15:00-04:00", "title": "SDO/AIA Close-up on Launching Filament (band 304)", "description": "A close-up view of the filament launch in the 304 band, which corresponds to a wavelength of about 304 Ångstroms. || ", "hits": 53 }, { "id": 3716, "url": "https://svs.gsfc.nasa.gov/3716/", "result_type": "Visualization", "release_date": "2010-04-21T14:15:00-04:00", "title": "SDO/AIA Full-Disk View of Launching Filament (Band 304)", "description": "Full disk view of a filament launch in the SDO AIA 304 band. || ", "hits": 62 }, { "id": 3717, "url": "https://svs.gsfc.nasa.gov/3717/", "result_type": "Visualization", "release_date": "2010-04-21T14:15:00-04:00", "title": "SDO/AIA Zoom-out of Launching Filament (Band 304)", "description": "This view of the filament launch loops several times before pulling out to show the full solar disk. || ", "hits": 21 }, { "id": 3702, "url": "https://svs.gsfc.nasa.gov/3702/", "result_type": "Visualization", "release_date": "2010-04-19T11:00:00-04:00", "title": "Swift Detects its 500th Gamma Ray Burst", "description": "The NASA Swift mission has detected 500 gamma-ray bursts (GRBs) to-date.This movie is presented as an all-sky map in a Hammer projection (Wikipedia). Each burst lights on the appropriate date and then fades to a green dot to emphasize the random distribution of GRBs on the sky.Another version of this visualization is available at Swift's 500 Gamma-ray Bursts. || ", "hits": 72 }, { "id": 3683, "url": "https://svs.gsfc.nasa.gov/3683/", "result_type": "Visualization", "release_date": "2010-04-02T00:00:00-04:00", "title": "Halloween 2003 Solar Storms: GOES/SXI X-ray view", "description": "Here is a view of the full solar disk during a two-week period in October and November of 2003 which exhibited some of the largest solar activity events since the advent of space-based solar observing. The GOES-12/Solar X-Ray Imager was experiencing significant problems during this time period and was offline during part of the opening and closing portions of this movie, which is why there is a significant number of black frames. Actual data collection began on October 28, 2003 and terminated on November 5, 2003.This movie is part of a series of movies with matching cadence designed to play synchronously with each other. The other movies in this series are Halloween 2003 Solar Storms: SOHO/EIT Ultraviolet, 195 angstromsHalloween 2003 Solar Storms: SOHO/EIT Ultraviolet, 304 angstromsHalloween 2003 Solar Storms: SOHO/MDI ContinuumHalloween 2003 Solar Storms: SOHO/MDI MagnetogramsHalloween 2003 Solar Storms: SOHO/EIT and SOHO/LASCO || ", "hits": 15 }, { "id": 3691, "url": "https://svs.gsfc.nasa.gov/3691/", "result_type": "Visualization", "release_date": "2010-03-31T00:00:00-04:00", "title": "A Comparative View of the Sun: SDO/AIA 193 and SOHO/EIT 195", "description": "This movie compares the spatial and temporal resolutions of the SDO/AIA (Atmospheric Imaging Assembly) imager to the SOHO/EIT (Extreme ultraviolet Imaging Telescope) imager. SOHO/EIT's highest resolution is 1024x1024 pixels with images taken about every 12 minutes for the 195 Ångstrom band. The SDO/AIA 193 band takes images at 4096x4096 pixels every twelve seconds!In this movie we can see the difference this makes for a closeup view of Active Region 1087. EIT reveals changes in the active region, which AIA reveals many details.This visualization is a companion piece to A Comparative View of the Sun: SDO/AIA 193 and STEREO-B/EUVI 195. || ", "hits": 83 }, { "id": 3698, "url": "https://svs.gsfc.nasa.gov/3698/", "result_type": "Visualization", "release_date": "2010-03-29T00:00:00-04:00", "title": "AMSR-E Arctic Sea Ice: September 2009 to March 2010", "description": "Sea ice is frozen seawater floating on the surface of the ocean. Some sea ice is semi-permanent, persisting from year to year, and some is seasonal, melting and refreezing from season to season. The sea ice cover reaches its minimum extent at the end of each summer and the remaining ice is called the perennial ice cover.In this animation, the Arctic sea ice and seasonal land cover change progress through time, from September 1, 2009 when sea ice in the Arctic was near its minimum extent, through March 30, 2010. The animation plays at a rate of six frames per day or ten days per second. Over the water, Arctic sea ice changes from day to day showing a running 3-day maximum sea ice concentration in the region where the concentration is greater than 15%. The blueish white color of the sea ice is derived from a 3-day running maximum of the AMSR-E 89 GHz brightness temperature. Over the terrain, monthly data from the seasonal Blue Marble Next Generation fades slowly from month to month. || ", "hits": 25 }, { "id": 3690, "url": "https://svs.gsfc.nasa.gov/3690/", "result_type": "Visualization", "release_date": "2010-03-28T00:00:00-04:00", "title": "Lunar Reconnaissance Orbiter Releases Data to the Planetary Data System", "description": "On March 15, 2010, Lunar Reconnaissance Orbiter (LRO) released its first installment of scientific data to NASA's public archive for planetary data, the Planetary Data System (PDS). This animation highlights several of the datasets made available through the PDS by the LOLA, LEND, and Diviner instruments on LRO. || ", "hits": 114 }, { "id": 3687, "url": "https://svs.gsfc.nasa.gov/3687/", "result_type": "Visualization", "release_date": "2010-03-24T00:00:00-04:00", "title": "Greenland Ice Sheet Mass Changes from NASA GSFC GRACE Mascon Solutions with Banded Color Scale", "description": "Luthcke, S.B., D.D. Rowlands, J.J. McCarthy, A. Arendt, T. Sabaka, J.P. Boy, F.G. Lemoine, \"Recent Changes of the Earth's Land Ice from GRACE, \" presented at 2009 Fall AGU, H13G-02 (693337), Dec. 14, 2009.The mass changes of the Greenland Ice Sheet (GIS) are computed from the Gravity Recovery and Climate Experiment (GRACE) inter-satellite range-rate observations for the period April 5, 2003 - July 25, 2009. The mass of the GIS has been computed at 10-day intervals and 200km spatial resolution from a regional high-resolution mascon solution (Luthcke and others, 2008 and 2006). The animation shows the change in mass referenced from April 5, 2003. The spatial variation in surface mass is shown in centimeters equivalent height of water. The time variation of the GIS mass is shown in the x-y plot insert with units of Gigatons.Corresponding author:Scott B. LuthckeNASA GSFCPlanetary Geodynamics Laboratory, Code 698Scott.B.Luthcke@nasa.gov || ", "hits": 24 }, { "id": 3694, "url": "https://svs.gsfc.nasa.gov/3694/", "result_type": "Visualization", "release_date": "2010-03-24T00:00:00-04:00", "title": "A Comparative View of the Sun: SDO/AIA 193 and STEREO-B/EUVI 195", "description": "This movie compares the spatial and temporal resolutions of the SDO/AIA (Atmospheric Imaging Assembly) imager to the STEREO/EUVI (Extreme UltraViolet Imager) imager. STEREO-B/EUVI's highest resolution is 2048x2048 pixels with images taken about every 5 minutes for the 195 Ångstrom band. The SDO/AIA 193 band takes images at 4096x4096 pixels every twelve seconds!While STEREO's vantage point at this time is very different from SDO, we can still identify some features of the Active Region 1087 in these two views. EUVI shows the launch of the filament, while AIA reveals many finer details.This visualization is a companion piece to A Comparative View of the Sun: SDO/AIA 193 and SOHO/EIT 195. || ", "hits": 47 }, { "id": 3688, "url": "https://svs.gsfc.nasa.gov/3688/", "result_type": "Visualization", "release_date": "2010-03-17T23:00:00-04:00", "title": "Shrimp-Like Creature Discovered at Windless Bight, Antarctica - 600 Feet Beneath Ice Sheet", "description": "At a depth of 600 feet beneath the West Antarctic ice sheet, a small shrimp-like creature managed to brighten up an otherwise gray polar day in late November 2009. This critter is a three-inch long Lyssianasid amphipod found beneath the Ross Ice Shelf, about 12.5 miles away from open water in the region called Windless Bight. NASA scientists were using a borehole camera to look back up towards the ice surface when they spotted this pinkish-orange creature swimming beneath the ice. || ", "hits": 64 }, { "id": 3689, "url": "https://svs.gsfc.nasa.gov/3689/", "result_type": "Visualization", "release_date": "2010-03-17T17:00:00-04:00", "title": "Operation IceBridge Greenland Spring 2010 Flight Paths", "description": "Operation Ice Bridge is a six-year campaign of annual flights to each of Earth's polar regions. The first flights in March and April carried researchers over Greenland and the Arctic Ocean. This spring's Artic campaign, led by principal investigator Seelye Martin of the University of Washington, will begin the first sustained airborne research effort of its kind over the continent. Data collected by researchers will help scientists bridge the gap between NASA's Ice, Cloud and Land Elevation Satellite (ICESat) — which is operating the last of its three lasers — and ICESat-II, scheduled to launch in 2014.The Ice Bridge flights will help scientists maintain the record of changes to sea ice and ice sheets that have been collected since 2003 by ICESat. The flights will lack the continent-wide coverage that can be achieved by satellite, so researchers carefully select key target locations. But the flights will also turn up new information not possible from orbit, such as the shape of the terrain below the ice.Thirteen flights are scheduled and displayed in this visualization. || ", "hits": 22 }, { "id": 3685, "url": "https://svs.gsfc.nasa.gov/3685/", "result_type": "Visualization", "release_date": "2010-03-15T23:00:00-04:00", "title": "Aqua/AIRS Carbon Dioxide, 2002-2009, With Mauna Loa Carbon Dioxide Graph", "description": "This visualization is a time-series of the global distribution and variation of the concentration of mid-tropospheric carbon dioxide observed by the Atmospheric Infrared Sounder (AIRS) on the NASA Aqua spacecraft. For comparison, it is overlain by a graph of the seasonal variation and interannual increase of carbon dioxide observed at the Mauna Loa, Hawaii observatory. The AIRS data show the average concentration (parts per million) over an altitude range of 3 km to 13 km, whereas the Mauna Loa data show the concentration at an altitude of 3.4 km and its annual increase at a rate of approximately 2 parts per million (ppm) per year. The two most notable features of this visualization are the seasonal variation of CO2 and the trend of increase in its concentration from year to year. The global map clearly shows that the CO2 in the northern hemisphere peaks in April-May and then drops to a minimum in September-October. Although the seasonal cycle is less pronounced in the southern hemisphere it is opposite to that in the northern hemisphere. This seasonal cycle is governed by the growth cycle of plants. The northern hemisphere has the majority of the land masses, and so the amplitude of the cycle is greater in that hemisphere. The overall color of the map shifts toward the red with advancing time due to the annual increase of CO2. Although the mid-latitude jet streams are not visible in the map, we can see their influence upon the distribution of CO2 around the globe. These rivers of air occur at an altitude of about 5 km and rapidly transport CO2 around the globe at that altitude. In the northern hemisphere, the mid-latitude jet stream squirms like a released garden hose over the period of a few days due to the continental landmasses. In the southern hemisphere the jet stream flow is more directly West to East, and during the period from July to October the CO2 concentration is enhanced in a belt delineated by the jet stream and lofting of CO2 into the free troposphere by the high Andes is visible in this period. The zonal flow of CO2 around the globe at the latitude of South Africa, southern Australia and southern South America is readily apparent. Eastward flow of CO2 from Indonesia and the Celebes sea can be seen in the November to February time frame. || ", "hits": 134 }, { "id": 3686, "url": "https://svs.gsfc.nasa.gov/3686/", "result_type": "Visualization", "release_date": "2010-03-15T00:00:00-04:00", "title": "LRO/LOLA Lunar South Pole Flyover", "description": "The Lunar Reconnaissance Oribiter (LRO) was launched on June 18, 2009. Its mission is to map the moon's surface, find safe landing sites, locate potential resources, characterize the radiation environment, and demonstrate new technology. One of the instruments on board is the Lunar Orbiter Laser Altimeter (LOLA) which measures landing site slopes, lunar surface roughness, and has begun generation of a high resolution 3D map of the Moon.This visualization uses Clementine data for the global view of the moon, but then transitions to using only LRO/LOLA DEM with a neutral gray texture when flying around the lunar south pole. The DEM by itself creates an amazingly realistic view of the lunar southpole. As better maps are created from the other instruments aboard LRO, an even clearer picture of the moon will emerge.Please note that this visualization is match-frame rendered to The Moon's South Pole in 3D via LRO/LOLA First Light Data (#3633). || ", "hits": 136 }, { "id": 3684, "url": "https://svs.gsfc.nasa.gov/3684/", "result_type": "Visualization", "release_date": "2010-03-03T00:00:00-05:00", "title": "Five-Year Average Global Temperature Anomalies from 1881 to 2009 for Science On a Sphere", "description": "Each year, scientists at NASA Goddard Institute for Space Studies analyze global temperature data. The past year, 2009, tied as the second warmest year in the 130 years of global instrumental temperature records, in the surface temperature analysis of the NASA Goddard Institute for Space Studies (GISS). The Southern Hemisphere set a record as the warmest year for that half of the world. Global mean temperature, was 0.57°C (1.0°F) warmer than climatology (the 1951-1980 base period). Southern Hemisphere mean temperature was 0.49°C (0.88°F) warmer than in the period of climatology. The global record warm year, in the period of near-global instrumental measurements (since the late 1800s), was 2005. This color-coded map displays a long term progression of changing global surface temperatures, from 1881 to 2009. Dark red indicates the greatest warming and dark blue indicates the greatest cooling. For more information on the data used to generate these images, please see http://data.giss.nasa.gov/gistemp. || ", "hits": 98 }, { "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": 14 }, { "id": 3669, "url": "https://svs.gsfc.nasa.gov/3669/", "result_type": "Visualization", "release_date": "2010-02-16T02:00:00-05:00", "title": "Norwegian-U.S. Scientific Traverse of East Antarctica", "description": "A massive, largely unexplored region, the East Antarctic ice sheet looms large in the global climate system, yet relatively little is known about its climate variability or the contribution it makes to sea level changes. The field expedition for this international partnership involves scientific investigations along two overland traverses in East Antarctica: one going from the Norwegian Troll Station to the United States South Pole Station in 2007-2008; and a return traverse by a different route in 2008-2009. This project will investigate climate change in East Antarctica.One of the most pressing environmental issues of our time is the need to understand the mechanisms of current global climate change and the associated impacts on global economic and political systems. In order to predict the future with confidence, we need a clear understanding of past and present changes in the Polar Regions and the role these changes play in the global climate system.For more information about this project go to http://traverse.npolar.no || ", "hits": 72 }, { "id": 3674, "url": "https://svs.gsfc.nasa.gov/3674/", "result_type": "Visualization", "release_date": "2010-01-27T13:00:00-05:00", "title": "Five-Year Average Global Temperature Anomalies from 1881 to 2009", "description": "Each year, scientists at NASA Goddard Institute for Space Studies analyze global temperature data. The past year, 2009, tied as the second warmest year in the 130 years of global instrumental temperature records, in the surface temperature analysis of the NASA Goddard Institute for Space Studies (GISS). The Southern Hemisphere set a record as the warmest year for that half of the world. Global mean temperature, was 0.57°C (1.0°F) warmer than climatology (the 1951-1980 base period). Southern Hemisphere mean temperature was 0.49°C (0.88°F) warmer than in the period of climatology. The global record warm year, in the period of near-global instrumental measurements (since the late 1800s), was 2005. This color-coded map displays a long term progression of changing global surface temperatures, from 1881 to 2009. Dark red indicates the greatest warming and dark blue indicates the greatest cooling. For more information on the data used to generate these images, please see http://giss.nasa.gov/gistemp/ || ", "hits": 24 }, { "id": 3675, "url": "https://svs.gsfc.nasa.gov/3675/", "result_type": "Visualization", "release_date": "2010-01-26T14:00:00-05:00", "title": "Ten-Year Average Global Temperature Anomaly Image from 2000 to 2009", "description": "There is a high degree of interannual (year-to-year) and decadal variability in both global and hemispheric temperatures. Underlying this variability, however, is a long-term warming trend that has become strong and persistent over the past three decades. The long-term trends are more apparent when temperature is averaged over several years. This image represents the 10 year average temperatures anomaly data from 2000 through 2009. || ", "hits": 80 }, { "id": 3671, "url": "https://svs.gsfc.nasa.gov/3671/", "result_type": "Visualization", "release_date": "2010-01-14T12:00:00-05:00", "title": "Amazon Basin Monthly GRACE Data", "description": "This visualization displays monthly GRACE data in the Amazon basin. GRACE (Gravity Recovery and Climate Experiment) measures mass distribution and in this instance is used to demonstrate water storage and movement in the basin. Warmer colors like red and yellow reveal areas with greater mass, or more water, while cooler colors like blue and green indicate areas with lesser mass, or less water. || ", "hits": 76 }, { "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": 105 }, { "id": 3676, "url": "https://svs.gsfc.nasa.gov/3676/", "result_type": "Visualization", "release_date": "2010-01-05T00:00:00-05:00", "title": "28 Year Arctic Winter Seasonal Temperature Trend", "description": "The Arctic region has been an area of scientific interest because it is expected that global warming signals will be amplified in the region because of ice-albedo feedback effect. Such effect is associated with the high albedo of snow and sea ice covered areas compared to that of ice free ocean and land areas. This animation depicts the 28-year winter seasonal surface temperature trend over the Arctic region determined from data collected during the months of December, January and February between 1981 and 2009. In this animation, the warming and cooling regions are revealed in steps of .02 degrees change per year starting with the regions of greatest change and progressing to the areas of least change. Blue hues indicate cooling regions while red hues depict warming. The neutral region of -.01 to +.01 degrees is shown in white. Brighter regions indicate greater temperature change while light regions indicate less. On the left side, the colarbar shows cooling temperatures ranging from -0.42 to zero degrees Kelvin, while the colorbar on the right shows warming temperatures ranging from zero to +0.42 degrees Kelvin per year. A moving bar beside each colorbar indicates the range of data values being displayed. || ", "hits": 129 }, { "id": 3677, "url": "https://svs.gsfc.nasa.gov/3677/", "result_type": "Visualization", "release_date": "2010-01-05T00:00:00-05:00", "title": "28 Year Arctic Spring Seasonal Temperature Trend", "description": "The Arctic region has been an area of scientific interest because it is expected that global warming signals will be amplified in the region because of ice-albedo feedback effect. Such effect is associated with the high albedo of snow and sea ice covered areas compared to that of ice free ocean and land areas. This animation depicts the 28-year spring seasonal surface temperature trend over the Arctic region determined from data collected during the months of March, April and May between 1982 and 2009.In this animation, the warming and cooling regions are revealed in steps of .02 degrees change per year starting with the regions of greatest change and progressing to the areas of least change. Blue hues indicate cooling regions while red hues depict warming. The neutral region of -.01 to +.01 degrees is shown in white. Brighter regions indicate greater temperature change while light regions indicate less. On the left side, the colarbar shows cooling temperatures ranging from -0.42 to zero degrees Kelvin, while the colorbar on the right shows warming temperatures ranging from zero to +0.42 degrees per year. An animated bar beside each colorbar brackets the range of data values being displayed. || ", "hits": 26 }, { "id": 3678, "url": "https://svs.gsfc.nasa.gov/3678/", "result_type": "Visualization", "release_date": "2010-01-05T00:00:00-05:00", "title": "28 Year Arctic Summer Seasonal Temperature Trend", "description": "The Arctic region has been an area of scientific interest because it is expected that global warming signals will be amplified in the region because of ice-albedo feedback effect. Such effect is associated with the high albedo of snow and sea ice covered areas compared to that of ice free ocean and land areas. This animation depicts the 28-year summer seasonal surface temperature trend over the Arctic region determined from data collected during the months of June, July and August between 1982 and 2009.In this animation, the warming and cooling regions are revealed in steps of .02 degrees change per year starting with the regions of greatest change and progressing to the areas of least change. Blue hues indicate cooling regions while red hues depict warming. The neutral region of -.01 to +.01 degrees is shown in white. Brighter regions indicate greater temperature change while light regions indicate less. On the left side, the colarbar shows cooling temperatures ranging from -0.42 to zero degrees Kelvin, while the colorbar on the right shows warming temperatures ranging from zero to +0.42 degrees per year. An animated bar beside each colorbar brackets the range of data values being displayed. || ", "hits": 64 }, { "id": 3679, "url": "https://svs.gsfc.nasa.gov/3679/", "result_type": "Visualization", "release_date": "2010-01-05T00:00:00-05:00", "title": "28 Year Arctic Autumn Seasonal Temperature Trend", "description": "The Arctic region has been an area of scientific interest because it is expected that global warming signals will be amplified in the region because of ice-albedo feedback effect. Such effect is associated with the high albedo of snow and sea ice covered areas compared to that of ice free ocean and land areas. This animation depicts the 28-year autumn seasonal surface temperature trend over the Arctic region determined from data collected during the months of September, October and November between 1981 and 2008.In this animation, the warming and cooling regions are revealed in steps of .02 degrees change per year starting with the regions of greatest change and progressing to the areas of least change. Blue hues indicate cooling regions while red hues depict warming. The neutral region of -.01 to +.01 degrees is shown in white. Brighter regions indicate greater temperature change while light regions indicate less. On the left side, the colarbar shows cooling temperatures ranging from -0.42 to zero degrees Kelvin, while the colorbar on the right shows warming temperatures ranging from zero to +0.42 degrees per year. An animated bar beside each colorbar brackets the range of data values being displayed. || ", "hits": 102 }, { "id": 3670, "url": "https://svs.gsfc.nasa.gov/3670/", "result_type": "Visualization", "release_date": "2009-12-17T00:00:00-05:00", "title": "Poster of the Jakobshavn Glacier Calving Front Recession from 1851 to 2009", "description": "Jakobshavn Isbrae is located on the west coast of Greenland at Latitude 69 N. The ice front, where the glacier calves into the sea, receded more than 40 km between 1850 and 2006. Between 1850 and 1964 the ice front retreated at a steady rate of about 0.3 km/yr, after which it occupied approximately the same location until 2001, when the ice front began to recede again, but far more rapidly at about 3 km/yr. As more ice moves from glaciers on land into the ocean, it causes a rise in sea level. Jakobshavn Isbrae is Greenland's largest outlet glacier, draining 6.5 percent of Greenland's ice sheet area. The ice stream's speed-up and near-doubling of the ice flow from land into the ocean has increased the rate of sea level rise by about .06 millimeters (about .002 inches) per year, or roughly 4 percent of the 20th century rate of sea level increase. This may be due in part to the numerous melt lakes visible here near the top of the image. These are believed to lubricate the layer between the ice sheet and bedrock, causing the ice to flow faster toward the sea. See an animation illustrating this acceleration in item #10153. || ", "hits": 27 }, { "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": 111 }, { "id": 3668, "url": "https://svs.gsfc.nasa.gov/3668/", "result_type": "Visualization", "release_date": "2009-12-13T00:00:00-05:00", "title": "Atmospheric Black Carbon Density", "description": "Black carbon, or soot, is formed from the burning of fossil fuels and biomass and lingers in the atmosphere for days or weeks before being deposited on the land or ocean. The transport and deposition of black carbon has become an important topic related to climate change since it can absorb sunlight and cause an increase in temperature on ice surfaces or in the atmosphere. The movement of black carbon in the atmosphere can be simulated by including existing black carbon data sets in a global model of the atmosphere. This animation shows the simulation of over three months of atmospheric black carbon production and movement from the Goddard Chemistry Aerosol and Transport (GOCART) model, which is driven by output of the GEOS5 global atmosphere simulation. Note the production of black carbon from industrialization in China and biomass burning in Africa, as well as the movement of black carbon across the oceans of the world. || ", "hits": 144 }, { "id": 3663, "url": "https://svs.gsfc.nasa.gov/3663/", "result_type": "Visualization", "release_date": "2009-12-11T00:00:00-05:00", "title": "Greenland Ice Sheet Mass Changes from NASA GSFC GRACE Mascon Solutions", "description": "Luthcke, S.B., D.D. Rowlands, J.J. McCarthy, A. Arendt, T. Sabaka, J.P. Boy, F.G. Lemoine, \"Recent Changes of the Earth's Land Ice from GRACE, \" presented at 2009 Fall AGU, H13G-02 (693337), Dec. 14, 2009.The mass changes of the Greenland Ice Sheet (GIS) are computed from the Gravity Recovery and Climate Experiment (GRACE) inter-satellite range-rate observations for the period April 5, 2003 - July 25, 2009. The mass of the GIS has been computed at 10-day intervals and 200km spatial resolution from a regional high-resolution mascon solution (Luthcke and others, 2008 and 2006). The animation shows the change in mass referenced from April 5, 2003. The spatial variation in surface mass is shown in centimeters equivalent height of water. The time variation of the GIS mass is shown in the x-y plot insert with units of Gigatons.Corresponding author:Scott B. LuthckeNASA GSFCPlanetary Geodynamics Laboratory, Code 698Scott.B.Luthcke@nasa.gov || ", "hits": 36 }, { "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": 18 }, { "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": 21 }, { "id": 3673, "url": "https://svs.gsfc.nasa.gov/3673/", "result_type": "Visualization", "release_date": "2009-12-11T00:00:00-05:00", "title": "Poster of Greenland Ice Sheet Mass Changes from NASA GSFC GRACE Mascon Solutions", "description": "Luthcke, S.B., D.D. Rowlands, J.J. McCarthy, A. Arendt, T. Sabaka, J.P. Boy, F.G. Lemoine, \"Recent Changes of the Earth's Land Ice from GRACE, \" presented at 2009 Fall AGU, H13G-02 (693337), Dec. 14, 2009.The mass changes of the Greenland Ice Sheet (GIS) are computed from the Gravity Recovery and Climate Experiment (GRACE) inter-satellite range-rate observations for the period April 5, 2003 - July 25, 2009. The mass of the GIS has been computed at 10-day intervals and 200 km spatial resolution from a regional high-resolution mascon solution (Luthcke and others, 2008 and 2006). The poster shows the change in mass during February, April, July and October from 2003 through 2009 as referenced from April 5, 2003. The spatial variation in surface mass is shown in centimeters equivalent height of water. The chart shown in the upper left corner presents total ice loss in Greenland over the same time period measured in gigatons. Corresponding author:Scott B. LuthckeNASA GSFCPlanetary Geodynamics Laboratory, Code 698Scott.B.Luthcke@nasa.gov || ", "hits": 34 }, { "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": 47 }, { "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": 3660, "url": "https://svs.gsfc.nasa.gov/3660/", "result_type": "Visualization", "release_date": "2009-11-09T12:00:00-05:00", "title": "Tropical Storm Ida Observed on November 9, 2009 at 1218 UTC", "description": "NASA's TRMM spacecraft observed this view of Tropical Storm Ida on November 9, 2009 at 1218 UTC (7:18 AM EST). Scattered convective thunderstorms are shown producing moderate to heavy rainfall of over 50 millimeters per hour (~2 inches) north of IDA's center of circulation and in a strong band on the eastern side. At the time of this image IDA had winds estimated at 70 knots (~80.5 mph). IDA is predicted by the National Hurricane Center in Miami, Florida to hit the Gulf coast near Pensacola, Florida on Tuesday morning. The rain structure is taken by TRMM's Tropical Microwave Imager (TMI) and TRMM's Precitation Radar(PR) instruments. TRMM looks underneath of the storm's clouds to reveal the underlying rain structure. The colored isosurface under the clouds show the rain seen by the PR instrument. || ", "hits": 13 }, { "id": 3656, "url": "https://svs.gsfc.nasa.gov/3656/", "result_type": "Visualization", "release_date": "2009-10-17T00:00:00-04:00", "title": "Sea Level Rise \"What Ifs\" in the Southeastern United States", "description": "This visualization shows the Southeastern United States with population data over the land. Darker areas over land indicate higher population densities. Sea level scenarios are shown starting with 0 meters of sea level rise (current sea level) and proceeding through 9 meters of rise. Blue areas moving inland indicate where the coastline would be at various levels.We will likely see some sea level rise in our lifetimes, but the middle-to-higher levels in this visualization are unlikely in the next 100 years.This visualization is based on Shuttle Radar Topography Mission (SRTM) data. This data primarily measured canopy heights. So, this visualization is showing where water might reach the tops of the trees in various areas. || ", "hits": 20 }, { "id": 3654, "url": "https://svs.gsfc.nasa.gov/3654/", "result_type": "Visualization", "release_date": "2009-10-09T13:35:00-04:00", "title": "Modeling the LCROSS Impact Site", "description": "A two-ton Atlas Centaur rocket body, part of the Lunar Crater Observation and Sensing Satellite (LCROSS), struck the floor of Cabeus crater, near the south pole of the moon, at 11:31 UT on October 9, 2009. The purpose of the crash was to create a plume of debris that could be examined for the presence of water and other chemicals in the lunar regolith. The effects of the impact were captured by sensors onboard a shepherding satellite travelling four minutes behind the Centaur. They were also watched by Earth-based observatories and several Earth-orbiting satellites, including the Hubble Space Telescope.The images here were created in the weeks prior to the impact. They visualize the viewing angle, terrain, and shadows around the target crater at the time of the impact. Astronomers in New Mexico, Arizona, California, and Hawaii used them as visual reference while guiding their telescopes. LCROSS project scientists also used these and similar images to evaluate a number of potential impact locations.Using the Jet Propulsion Laboratory's DE421 ephemeris and early terrain data from Lunar Reconnaissance Orbiter's laser altimeter, the artist was able to accurately depict the sunlight direction, shadows, moon orientation, terrain, and field of view for several representative observing locations on the Earth. || ", "hits": 102 }, { "id": 3652, "url": "https://svs.gsfc.nasa.gov/3652/", "result_type": "Visualization", "release_date": "2009-10-09T13:24:00-04:00", "title": "Sea Surface Temperature, Salinity and Density", "description": "Sea Surface TemperatureThe oceans of the world are heated at the surface by the sun, and this heating is uneven for many reasons. The Earth's axial rotation, revolution about the sun, and tilt all play a role, as do the wind-driven ocean surface currents. The first animation in this group shows the long-term average sea surface temperature, with red and yellow depicting warmer waters and blue depicting colder waters. The most obvious feature of this temperature map is the variation of the temperature by latitude, from the warm region along the equator to the cold regions near the poles. Another visible feature is the cooler regions just off the western coasts of North America, South America, and Africa. On these coasts, winds blow from land to ocean and push the warm water away from the coast, allowing cooler water to rise up from deeper in the ocean. || ", "hits": 1141 }, { "id": 3638, "url": "https://svs.gsfc.nasa.gov/3638/", "result_type": "Visualization", "release_date": "2009-10-09T00:00:00-04:00", "title": "Correlation Between Tropospheric Carbon Dioxide Concentration and Seasonal Variation of the Biosphere", "description": "This animation shows the correspondence between the drawdown of tropospheric carbon dioxide in the earth's atmosphere, and the seasonal variation of the biosphere of the earth. The pattern of white squares indicates regions where the concentration of tropospheric CO2 is higher than the trend, while regions devoid of the squares are areas where the CO2 concentrations are lower than the trend. The trend was calculated by a least-squares line fit to a moving 8-day global average of CO2 concentration provided by the AIRS instrument on the Aqua satellite, and increases over the course of the animation (Sept. 2002-Sept. 2006) from 374 ppm to 383 ppm. The biosphere data is provided by the SeaWiFS instrument aboard the SeaStar satellite.During spring and summer months, the consumption of CO2 through plant respiration increases, reducing the concentration of CO2 (the white squares) over the more productive areas. In the animation, this is seen as a tendency for the CO2 concentration to drop below the trend over areas of deeper green. The cycle is especially apparent in the Northern Hemisphere. || ", "hits": 183 }, { "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": 338 }, { "id": 3639, "url": "https://svs.gsfc.nasa.gov/3639/", "result_type": "Visualization", "release_date": "2009-10-08T00:00:00-04:00", "title": "Rotating Blue Marble", "description": "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": 329 }, { "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": 43 }, { "id": 3641, "url": "https://svs.gsfc.nasa.gov/3641/", "result_type": "Visualization", "release_date": "2009-10-08T00:00:00-04:00", "title": "Rotating Phytoplankton 10-year Global Average", "description": "The SeaWiFS instrument aboard the SeaStar satellite has been collecting ocean data since 1997. By monitoring the color of reflected light via satellite, scientists can determine how successfully plant life is photosynthesizing. A measurement of photosynthesis is essentially a measurement of successful growth, and growth means successful use of ambient carbon. This animation displays the 10-year global average of nearly a decade's worth of data taken by the SeaWiFS instrument, showing the abundance of life in the sea. Dark blue represents warmer areas where there is little life due to lack of nutrients, and greens and reds represent cooler nutrient-rich areas. || ", "hits": 24 }, { "id": 3642, "url": "https://svs.gsfc.nasa.gov/3642/", "result_type": "Visualization", "release_date": "2009-10-08T00:00:00-04:00", "title": "Regions Exhibiting Decreased Phytoplankton Levels and Increased Sea Surface Temperatures", "description": "Throughout most of Earth's ocean, as the surface layer of the ocean warms, the water becomes less dense and forms a cap, rather than mixing down to allow cooler, nutrient-rich water to well up. Over time, areas with less mixing show reduced productivity and less phytoplankton. This data visualization highlights regions where a strong correlation between high sea surface temperatures and decreased phytoplankton productivity occurred from 1997-2006. For nearly a decade, the Sea-viewing Wide Field-of-View Sensor (SeaWiFS) has been making global observations of phytoplankton productivity. On December 6, 2006, NASA-funded scientists announced that warming sea surface temperatures over the past decade have caused a global decline in phytoplankton productivity. || ", "hits": 22 }, { "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": 23 }, { "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": 27 }, { "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": 18 } ] }