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    "results": [
        {
            "id": 4746,
            "url": "https://svs.gsfc.nasa.gov/4746/",
            "result_type": "Visualization",
            "release_date": "2019-08-08T08:00:00-04:00",
            "title": "June 2019 Monthly Global Temperature Anomalies",
            "description": "While many people in the continuous United States saw average temperatures in the month of June 2019, the average global temperature in June was 1.71 degrees F above the 20th-century average of 59.9 degrees.  This makes June 2019 the hottest June in the 140-year record. Nine of the 10 hottest Junes have occurred since 2010. Last month also was the 43rd consecutive June and 414th consecutive month with above-average global temperatures. This visual of the GISTEMP anomalies for June of 2019 show the United States and then zooms out to show the global picture. Temperature anomalies indicate how much warmer (red) or colder(blue) it is than normal for a particular place and time. For the GISS analysis, normal always means the average over the 30-year period 1951-1980 for that place and time of year. For more information on the GISTEMP, see the GISTEMP analysis website located at: http://data.giss.nasa.gov/gistemp/ || ",
            "hits": 35
        },
        {
            "id": 3458,
            "url": "https://svs.gsfc.nasa.gov/3458/",
            "result_type": "Visualization",
            "release_date": "2017-10-01T00:00:00-04:00",
            "title": "Destination Asteroid",
            "description": "Not far from Earth, dark bodies of rock circle the sun in lonely orbits. These near Earth objects, or NEOs, are asteroids found outside the traditional belt between Mars and Jupiter. Protected from the gravitational tugs and tumbles that affect objects found closer to the gas giant, these asteroids may contain clues about the origins of the solar system. That's why experts from NASA and The University of Arizona want to send a research vehicle to collect a sample. That's OSIRIS. Once approved, the OSIRIS vehicle would leave Earth on a multi-year mission to map and collect samples from a particular NEO called RQ-36.In DESTINATION: ASTEROID, we look behind the scenes as a team of government scientists demonstrates for a visiting group of reporters how the mission will work. This short film explores the basics of the mission, including scientific goals, technical design plans, and a timeline of planned events. Imagination and invention meet in this spirited paean to NASA's legacy for great feats of exploration and discovery. Join us as we set our navigation systems to DESTINATION: ASTEROID. || ",
            "hits": 46
        },
        {
            "id": 4546,
            "url": "https://svs.gsfc.nasa.gov/4546/",
            "result_type": "Visualization",
            "release_date": "2017-01-18T10:29:00-05:00",
            "title": "Five-Year Global Temperature Anomalies from 1880 to 2016",
            "description": "This color-coded map displays a progression of changing global surface temperatures anomalies from 1880 through 2016. The final frame represents global temperature anomalies averaged from 2012 through 2016 in degrees Celsius. || robinson2_1212_print.jpg (1024x576) [124.2 KB] || robinson2_1213_searchweb.png (180x320) [72.8 KB] || robinson2_1213_thm.png (80x40) [6.7 KB] || gistemp2016_5year_full_record_celsius_1080p.mp4 (1920x1080) [46.3 MB] || gistemp2016_5year_full_record_celsius_30fps_1080p.mp4 (1920x1080) [46.3 MB] || Celsius_composite (1920x1080) [64.0 KB] || Celsius_composite (1920x1080) [64.0 KB] || gistemp2016_5year_full_record_celsius_1080p.webm (1920x1080) [2.1 MB] || gistemp2016_5year_full_record_celsius_4546.key [48.7 MB] || gistemp2016_5year_full_record_celsius_4546.pptx [48.3 MB] || gistemp2016_5year_full_record_celsius_1080p.mp4.hwshow [258 bytes] || ",
            "hits": 238
        },
        {
            "id": 4438,
            "url": "https://svs.gsfc.nasa.gov/4438/",
            "result_type": "Visualization",
            "release_date": "2016-03-25T00:00:00-04:00",
            "title": "Global Temperature Anomalies from January 2016",
            "description": "This visualization shows the anomalously warm month of January 2016.  Reds show areas that are warmer than normal and blue shows regions that are colder than normal. || Jan2016_GISTEMP_0298_print.jpg (1024x576) [64.8 KB] || Jan2016_GISTEMP_0298_searchweb.png (320x180) [44.7 KB] || Jan2016_GISTEMP_0298_thm.png (80x40) [4.6 KB] || composite (1920x1080) [0 Item(s)] || Jan2016_ArcticWarming.mp4 (1920x1080) [21.4 MB] || Jan2016_ArcticWarming.webm (1920x1080) [642.2 KB] || Jan2016_ArcticWarming.mp4.hwshow [187 bytes] || ",
            "hits": 155
        },
        {
            "id": 4441,
            "url": "https://svs.gsfc.nasa.gov/4441/",
            "result_type": "Visualization",
            "release_date": "2016-03-25T00:00:00-04:00",
            "title": "Global Temperature Anomalies from February 2016",
            "description": "This visual of the February 2016 monthly GISTEMP shows temperatures that are warmer than normal in red and colder than normal in blue. || EuropeNorthAmerica_Feb2016_GISTEMP_0290_print.jpg (1024x576) [66.5 KB] || EuropeNorthAmerica_Feb2016_GISTEMP_0290_searchweb.png (320x180) [45.2 KB] || EuropeNorthAmerica_Feb2016_GISTEMP_0290_thm.png (80x40) [4.6 KB] || Feb2016_withOverlays (1920x1080) [0 Item(s)] || Feb2016_GISTEMPanomaly.mp4 (1920x1080) [21.1 MB] || Feb2016_GISTEMPanomaly.webm (1920x1080) [648.0 KB] || Feb2016_GISTEMPanomaly.m4v (640x360) [1.0 MB] || Feb2016_GISTEMPanomaly.mp4.hwshow [188 bytes] || ",
            "hits": 186
        },
        {
            "id": 4420,
            "url": "https://svs.gsfc.nasa.gov/4420/",
            "result_type": "Visualization",
            "release_date": "2016-01-20T11:30:00-05:00",
            "title": "Global Temperature Anomalies from December 2015",
            "description": "Global temperature data for December 2015, in degrees Fahrenheit, starting with North America and pulling back to reveal the whole world.  The December 2015 temperatures are compared to a baseline of the 1951-1980 average temperature. Higher than normal temperatures are shown in red and lower then normal termperatures are shown in blue. || Dec2015Gistemp_zoomout_fahrenheit_0000_print.jpg (1024x576) [75.3 KB] || Dec2015Gistemp_zoomout_fahrenheit_0000_searchweb.png (320x180) [66.3 KB] || Dec2015Gistemp_zoomout_fahrenheit_0000_thm.png (80x40) [5.5 KB] || fahrenheit_composite_dec2015monthly (1920x1080) [0 Item(s)] || Dec2015Gistemp_zoomout_fahrenheit_0000_1080p30.mp4 (1920x1080) [3.2 MB] || 4420_GISTEMP_Dec2015_zoomout_F.webm (960x540) [2.9 MB] || 4420_GISTEMP_Dec2015_zoomout_F_appletv.m4v (1280x720) [6.5 MB] || 4420_GISTEMP_Dec2015_zoomout_F.mpeg (1280x720) [46.8 MB] || 4420_GISTEMP_Dec2015_zoomout_F_youtube_hq.mov (1920x1080) [20.1 MB] || 4420_GISTEMP_Dec2015_zoomout_F_prores.mov (1280x720) [105.0 MB] || 4420_GISTEMP_Dec2015_zoomout_F_ipod_sm.mp4 (320x240) [2.2 MB] || Dec2015Gistemp_zoomout_fahrenheit_0000_1080p30.mp4.hwshow [212 bytes] || ",
            "hits": 53
        },
        {
            "id": 4419,
            "url": "https://svs.gsfc.nasa.gov/4419/",
            "result_type": "Visualization",
            "release_date": "2016-01-20T00:00:00-05:00",
            "title": "Five-Year Global Temperature Anomalies from 1880 to 2015",
            "description": "This color-coded map in Robinson projection displays a progression of changing global surface temperature anomalies from 1880 through 2015. Higher than normal temperatures are shown in red and lower then normal termperatures are shown in blue. The final frame represents the global temperatures 5-year averaged from 2011 through 2015.  Scale in degree Celsius.This video is also available on our YouTube channel. || 4419_GISTEMP_2015_Robinson_C_print.jpg (1024x576) [107.0 KB] || 4419_GISTEMP_2015_Robinson_C_print_searchweb.png (320x180) [78.5 KB] || 4419_GISTEMP_2015_Robinson_C_print_thm.png (80x40) [7.3 KB] || celsius_composite (1920x1080) [0 Item(s)] || 4419_GISTEMP_2015_Robinson_C_youtube_hq.mov (1920x1080) [79.5 MB] || 4419_GISTEMP_2015_Robinson_C.webm (960x540) [13.3 MB] || 4419_GISTEMP_2015_Robinson_C_appletv.m4v (1280x720) [16.3 MB] || 4419_GISTEMP_2015_Robinson_C.mpeg (1280x720) [122.2 MB] || 4419_GISTEMP_2015_Robinson_C_prores.mov (1280x720) [533.7 MB] || 4419_GISTEMP_2015_Robinson_C.key [20.0 MB] || 4419_GISTEMP_2015_Robinson_C.pptx [17.4 MB] || 4419_GISTEMP_2015_Robinson_C_ipod_sm.mp4 (320x240) [4.8 MB] || ",
            "hits": 177
        },
        {
            "id": 4252,
            "url": "https://svs.gsfc.nasa.gov/4252/",
            "result_type": "Visualization",
            "release_date": "2015-01-16T00:30:00-05:00",
            "title": "Five-Year Global Temperature Anomalies from 1880 to 2014",
            "description": "This color-coded map in Robinson projection displays a progression of changing global surface temperature anomalies from 1880 through 2014.  Higher than normal temperatures are shown in red and lower then normal termperatures are shown in blue.  The final frame represents the global temperatures 5-year averaged from 2010 through 2014. || GISTEMP_2014update.0905_print.jpg (1024x576) [122.2 KB] || GISTEMP_2014update.0905_searchweb.png (320x180) [74.5 KB] || GISTEMP_2014update.0905_thm.png (80x40) [6.7 KB] || composite (1920x1080) [0 Item(s)] || 2014_update_robinson_composite.mp4 (1920x1080) [36.8 MB] || 2014_update_robinson_composite.webm (1920x1080) [3.5 MB] || ",
            "hits": 65
        },
        {
            "id": 4254,
            "url": "https://svs.gsfc.nasa.gov/4254/",
            "result_type": "Visualization",
            "release_date": "2015-01-16T00:00:00-05:00",
            "title": "Global Temperature Anomalies from November 2014",
            "description": "This visualization of global surface temperatures from November 2014 starts with a local view of the United States and then zooms out to see the global color-coded map. Blue represents colder then normal temperatures and red represents warmer. || Nov2014_Robinson_zoomout_composite_0001_print.jpg (1024x576) [98.1 KB] || Nov2014_Robinson_zoomout_composite_0001_searchweb.png (320x180) [74.4 KB] || Nov2014_Robinson_zoomout_composite_0001_thm.png (80x40) [6.0 KB] || robinson_composite (1920x1080) [0 Item(s)] || Nov2014monthly_robinsonzoomout.mp4 (1920x1080) [10.9 MB] || Nov2014monthly_robinsonzoomout.webm (1920x1080) [1.3 MB] || ",
            "hits": 18
        },
        {
            "id": 4255,
            "url": "https://svs.gsfc.nasa.gov/4255/",
            "result_type": "Visualization",
            "release_date": "2015-01-16T00:00:00-05:00",
            "title": "2014 Global Temperature Anomalies: United States to Global view",
            "description": "This visualization of annual global temperature anomalies from 2014 starts with a local view of the United States and then zooms out to the global color-coded map.  Blue represents colder then normal temperatures and red represents warmer then normal temperatures. || US_Global_pullout_2014GISTEMP_0001_print.jpg (1024x576) [105.0 KB] || US_Global_pullout_2014GISTEMP_0001_searchweb.png (320x180) [75.7 KB] || US_Global_pullout_2014GISTEMP_0001_thm.png (80x40) [6.1 KB] || composite (1920x1080) [0 Item(s)] || Annual2014GISSTEMP_US2Global.mp4 (1920x1080) [11.2 MB] || Annual2014GISSTEMP_US2Global.webm (1920x1080) [1.3 MB] || ",
            "hits": 57
        },
        {
            "id": 4152,
            "url": "https://svs.gsfc.nasa.gov/4152/",
            "result_type": "Visualization",
            "release_date": "2014-03-19T14:40:00-04:00",
            "title": "Global Temperature Anomalies from January 2014",
            "description": "Residents of the eastern United States know that the temperature was colder then the average temperature. This visual of the GISTEMP anomalies for January of 2014 show the United States and then zooms out to show the global picture. Temperature anomalies indicate how much warmer or colder it is than normal for a particular place and time. For the GISS analysis, normal always means the average over the 30-year period 1951-1980 for that place and time of year. For more information on the GISTEMP, see the GISTEMP analysis website located at: http://data.giss.nasa.gov/gistemp/ || ",
            "hits": 26
        },
        {
            "id": 4135,
            "url": "https://svs.gsfc.nasa.gov/4135/",
            "result_type": "Visualization",
            "release_date": "2014-01-21T00:00:00-05:00",
            "title": "Five-Year Global Temperature Anomalies from 1880 to 2013",
            "description": "NASA scientists say 2013 tied with 2009 and 2006 for the seventh warmest year since 1880, continuing a long-term trend of rising global temperatures. With the exception of 1998, the 10 warmest years in the 134-year record all have occurred since 2000, with 2010 and 2005 ranking as the warmest years on record.NASA's Goddard Institute for Space Studies (GISS) in New York, which analyzes global surface temperatures on an ongoing basis, released an updated report Tuesday on temperatures around the globe in 2013. The comparison shows how Earth continues to experience temperatures warmer than those measured several decades ago.  The average temperature in 2013 was 58.3 degrees Fahrenheit (14.6 degrees Celsius), which is 1.1 °F (0.6 °C) warmer than the mid-20th century baseline. The average global temperature has risen about 1.4 °F (0.8 °C) since 1880, according to the new analysis. Exact rankings for individual years are sensitive to data inputs and analysis methods.\"Long-term trends in surface temperatures are unusual and 2013 adds to the evidence for ongoing climate change,\" GISS climatologist Gavin Schmidt said. \"While one year or one season can be affected by random weather events, this analysis shows the necessity for continued, long-term monitoring.\"Scientists emphasize that weather patterns always will cause fluctuations in average temperatures from year to year, but the continued increases in greenhouse gas levels in Earth's atmosphere are driving a long-term rise in global temperatures. Each successive year will not necessarily be warmer than the year before, but with the current level of greenhouse gas emissions, scientists expect each successive decade to be warmer than the previous.Carbon dioxide is a greenhouse gas that traps heat and plays a major role in controlling changes to Earth's climate. It occurs naturally and also is emitted by the burning of fossil fuels for energy. Driven by increasing man-made emissions, the level of carbon dioxide in Earth's atmosphere presently is higher than at any time in the last 800,000 years. The carbon dioxide level in the atmosphere was about 285 parts per million in 1880, the first year in the GISS temperature record. By 1960, the atmospheric carbon dioxide concentration, measured at the National Oceanic and Atmospheric Administration's (NOAA) Mauna Loa Observatory in Hawaii, was about 315 parts per million. This measurement peaked last year at more than 400 parts per million.While the world experienced relatively warm temperatures in 2013, the continental United States experienced the 42nd warmest year on record, according to GISS analysis. For some other countries, such as Australia, 2013 was the hottest year on record.The temperature analysis produced at GISS is compiled from weather data from more than 1,000 meteorological stations around the world, satellite observations of sea-surface temperature, and Antarctic research station measurements, taking into account station history and urban heat island effects. Software is used to calculate the difference between surface temperature in a given month and the average temperature for the same place from 1951 to 1980. This three-decade period functions as a baseline for the analysis. It has been 38 years since the recording of a year of cooler than average temperatures.The GISS temperature record is one of several global temperature analyses, along with those produced by the Met Office Hadley Centre in the United Kingdom and NOAA's National Climatic Data Center in Asheville, N.C. These three primary records use slightly different methods, but overall, their trends show close agreement.Additional commentary on the 2013 temperature anomaly is provided by Dr. James Hansen of Columbia University at: http://www.columbia.edu/~jeh1/mailings/2014/20140121_Temperature2013.pdfThe GISTEMP analysis website is located at: http://data.giss.nasa.gov/gistemp/ || ",
            "hits": 166
        },
        {
            "id": 4030,
            "url": "https://svs.gsfc.nasa.gov/4030/",
            "result_type": "Visualization",
            "release_date": "2013-01-15T13:00:00-05:00",
            "title": "Five-Year Global Temperature Anomalies from 1880 to 2012",
            "description": "This color-coded map displays a progression of changing global surface temperatures anomalies from 1880 through 2012. Higher than normal temperatures are shown in red and lower then normal temperatures are shown in blue. Global surface temperature in 2012 was +0.55 || ",
            "hits": 539
        },
        {
            "id": 3901,
            "url": "https://svs.gsfc.nasa.gov/3901/",
            "result_type": "Visualization",
            "release_date": "2012-01-20T00:00:00-05:00",
            "title": "Five-Year Average Global Temperature Anomalies from 1880 to 2011",
            "description": "The global average surface temperature in 2011 was the ninth warmest since 1880.The finding sustains a trend that has seen the 21st century experience nine of the 10 warmest years in the modern meteorological record. NASA's Goddard Institute for Space Studies (GISS) in New York released an analysis of how temperatures around the globe in 2011 compared to the average global temperature from the mid-20th century. The comparison shows how Earth continues to experience higher temperatures than several decades ago. The average temperature around the globe in 2011 was 0.92 degrees F (0.51 C) higher than the mid-20th century baseline.\"We know the planet is absorbing more energy than it is emitting,\" said GISS director James E. Hansen. \"So we are continuing to see a trend toward higher temperatures. Even with the cooling effects of a strong La Ni?a influence and low solar activity for the past several years, 2011 was one of the 10 warmest years on record.\"The difference between 2011 and the warmest year in the GISS record (2010) is 0.22 degrees F (0.12 C). This underscores the emphasis scientists put on the long-term trend of global temperature rise as opposed to year-to-year variations. Because of the large natural variability of climate, scientists do not expect annual temperatures to rise consistently each year. However, they do expect a continuing temperature rise over decades. The first 11 years of the 21st century experienced notably higher temperatures compared to the middle and late 20th century, Hansen said.For more information on the GISS temperature analysis, visit http://data.giss.nasa.gov/gistemp. || ",
            "hits": 155
        },
        {
            "id": 3893,
            "url": "https://svs.gsfc.nasa.gov/3893/",
            "result_type": "Visualization",
            "release_date": "2011-12-02T00:00:00-05:00",
            "title": "Sea Ice Yearly Minimum 1979-2011 (SSMI data)",
            "description": "The continued significant reduction in the area covered by the summer sea ice is a dramatic illustration of the pronounced impact increased global temperatures are having on the Arctic regions. There has also been a significant reduction in the relative amount of older, thicker ice. Satellite-based passive microwave images of the sea ice cover have provided a reliable tool for continuously monitoring changes in the Arctic ice cover since 1979. The ice parameters derived from satellite ice concentration data that are most relevant to climate change studies are sea ice extent and ice area. This visualization shows the annual September minimum sea ice area in the background and a graph of the ice area values foreground. The ice area provides the total area actually covered by sea ice which is useful for estimating the total volume and therefore mass, given the average ice thickness. For more information about these ice datasets, see The Journal of Geophysical Research VOL. 113, C02S07, doi:10.1029/2007JC004257, 2008This visualization shows the annual Arctic sea ice minimum from 1979 to 2011. A graph is overlaid that shows the area in million square kilometers for each year's minimum day. The '1979','2007', and '2011' data points are highlighted on the graph. || ",
            "hits": 35
        },
        {
            "id": 3817,
            "url": "https://svs.gsfc.nasa.gov/3817/",
            "result_type": "Visualization",
            "release_date": "2011-01-14T00:00:00-05:00",
            "title": "Five-Year Average Global Temperature Anomalies from 1880 to 2010",
            "description": "Groups of scientists from several major institutions - NASA's Goddard Institute for Space Studies (GISS), NOAA's National Climatic Data Center (NCDC), the Japanese Meteorological Agency and the Met Office Hadley Centre in the United Kingdom - tally data collected by temperature monitoring stations spread around the world and make an announcement about whether the previous year was a comparatively warm or cool year. This analysis concerns only temperature anomalies, not absolute temperature. Temperature anomalies are computed relative to the base period 1951-1980. The reason to work with anomalies, rather than absolute temperature is that absolute temperature varies markedly in short distances, while monthly or annual temperature anomalies are representative of a much larger region. Indeed, we have shown (Hansen and Lebedeff, 1987) that temperature anomalies are strongly correlated out to distances of the order of 1000 km. For more information about this dataset, see http://data.giss.nasa.gov/gistemp NASA's announcement this year - that 2010 ties 2005 as the warmest year in the 131-year instrumental record - made headlines. But, how much does the ranking of a single year matter?Not all that much, emphasizes James Hansen, the director of NASA's Goddard Institute for Space Studies (GISS) in New York City. In the GISS analysis, for example, 2010 differed from 2005 by less than 0.01°C (0.018°F), a difference so small that the temperatures of these two years are indistinguishable, given the uncertainty of the calculation.Meanwhile, the third warmest year - 2009 - is so close to 1998, 2002, 2003, 2006, and 2007, with the maximum difference between the years being a mere 0.03°C, that all six years are virtually tied.Even for a near record-breaking year like 2010 the broader context is more important than a single year. \"Certainly, it is interesting that 2010 was so warm despite the presence of a La Niña and a remarkably inactive sun, two factors that have a cooling influence on the planet, but far more important than any particular year's ranking are the decadal trends,\" Hansen said. || ",
            "hits": 114
        },
        {
            "id": 3802,
            "url": "https://svs.gsfc.nasa.gov/3802/",
            "result_type": "Visualization",
            "release_date": "2010-11-12T00:00:00-05:00",
            "title": "Sea Ice Yearly Minimum 1979-2010 (SSMI data)",
            "description": "The continued significant reduction in the extent of the summer sea ice cover is a dramatic illustration of the pronounced impact increased global temperatures are having on the Arctic regions. There has also been a significant reduction in the relative amount of older, thicker ice. Satellite-based passive microwave images of the sea ice cover have provided a reliable tool for continuously monitoring changes in the extent of the Arctic ice cover since 1979. The ice parameters derived from satellite ice concentration data that are most relevant to climate change studies are sea ice extent and ice area. This visualization shows ice extent in the background and ice area in the foreground. Ice extent is defined here as the integrated sum of the areas of data elements (pixels) with at least 15% ice concentration while ice area is the integrated sum of the products of the area of each pixel and the corresponding ice concentration. Ice extent provides information about how far south (or north) the ice extends in winter and how far north (or south) it retreats toward the continent in the summer while the ice area provides the total area actually covered by sea ice which is useful for estimating the total volume and therefore mass, given the average ice thickness. For more information about these ice datasets, see The Journal of Geophysical Research VOL. 113, C02S07, doi:10.1029/2007JC004257, 2008 In 2007, Arctic summer sea ice reached its lowest extent on record - nearly 25% less than the previous low set in 2005. At the end of each summer, the sea ice cover reaches its minimum extent and what is left is what is called the perennial ice cover which consists mainly of thick multi-year ice flows. The area of the perennial ice has been steadily decreasing since the satellite record began in 1979, at a rate of about 10% per decade.This visualization shows the annual Arctic sea ice minimum from 1979 to 2010. A graph is overlaid that shows the area in million square kilometers for each year's minimum day. The 1979, 2007, and 2010 data points are highlighted on the graph. || ",
            "hits": 94
        },
        {
            "id": 3726,
            "url": "https://svs.gsfc.nasa.gov/3726/",
            "result_type": "Visualization",
            "release_date": "2010-07-30T00:00:00-04:00",
            "title": "NCCS Hyperwall Show: MERRA Timeline",
            "description": "This animation is a timeline intended to accompany the NCCS MERRA hyperwall show. The timeline shows the extent of the MERRA data set along with the period that the NCCS hyperwall MERRA show covers. The MERRA show includes visualizations from May through July for the years 1993 (a flood year for central North America) and 1988 (a drought year for central North America). Visualizations synchronized in time are shown above and below the timeline on the hyperwall.MERRA. is the Modern Era Retrospective-analysis for Research and Applications. It is a 30-year continuous data record based on a computational atmospheric model that includes assimilated satellite data. MERRA uses the Goddard Earth Observing System Data Assimilation System Version 5 (GEOS-5) 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. || ",
            "hits": 21
        },
        {
            "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": 146
        },
        {
            "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": 18
        },
        {
            "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": 98
        },
        {
            "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": 16
        },
        {
            "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": 43
        },
        {
            "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": 43
        },
        {
            "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": 94
        },
        {
            "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": 15
        },
        {
            "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": 27
        },
        {
            "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": 78
        },
        {
            "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": 23
        },
        {
            "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": 3653,
            "url": "https://svs.gsfc.nasa.gov/3653/",
            "result_type": "Visualization",
            "release_date": "2009-10-08T00:00:00-04:00",
            "title": "Five-Year Average Global Temperature Anomalies for 1888,1918,1948,1978, 2008",
            "description": "Each year, scientists at NASA Goddard Institute for Space Studies analyze global temperature data. A rapid warming trend has occurred over the past 30 years. Calendar year 2008 was the coolest year since 2000, according to the Goddard Institute for Space Studies analysis of surface air temperature measurements. In this analysis, 2008 is the ninth warmest year in the period of instrumental measurements, which extends back to 1881. 2005 is the hottest year on record, and 2007 is tied with 1998 for second place. The Earth is experiencing the warmest level of the current interglacial period, or interval between ice ages, which has lasted nearly 12,000 years. This color-coded map displays a long term progression of changing global surface temperatures, from 1881 to 2008. Dark red indicates the greatest warming and dark blue indicates the greatest cooling. || ",
            "hits": 137
        },
        {
            "id": 3595,
            "url": "https://svs.gsfc.nasa.gov/3595/",
            "result_type": "Visualization",
            "release_date": "2009-07-27T00:00:00-04:00",
            "title": "Sentinels of the Heliosphere",
            "description": "Heliophysics is a term to describe the study of the Sun, its atmosphere or the heliosphere, and the planets within it as a system. As a result, it encompasses the study of planetary atmospheres and their magnetic environment, or magnetospheres. These environments are important in the study of space weather.As a society dependent on technology, both in everyday life, and as part of our economic growth, space weather becomes increasingly important. Changes in space weather, either by solar events or geomagnetic events, can disrupt and even damage power grids and satellite communications. Space weather events can also generate x-rays and gamma-rays, as well as particle radiations, that can jeopardize the lives of astronauts living and working in space.This visualization tours the regions of near-Earth orbit; the Earth's magnetosphere, sometimes called geospace; the region between the Earth and the Sun; and finally out beyond Pluto, where Voyager 1 and 2 are exploring the boundary between the Sun and the rest of our Milky Way galaxy. Along the way, we see these regions patrolled by a fleet of satellites that make up NASA's Heliophysics Observatory Telescopes. Many of these spacecraft do not take images in the conventional sense but record fields, particle energies and fluxes in situ. Many of these missions are operated in conjunction with international partners, such as the European Space Agency (ESA) and the Japanese Space Agency (JAXA).The Earth and distances are to scale. Larger objects are used to represent the satellites and other planets for clarity.Here are the spacecraft featured in this movie:Near-Earth Fleet:Hinode: Observes the Sun in multiple wavelengths up to x-rays. SVS pageRHESSI : Observes the Sun in x-rays and gamma-rays. SVS pageTRACE: Observes the Sun in visible and ultraviolet wavelengths. SVS pageTIMED: Studies the upper layers (40-110 miles up) of the Earth's atmosphere.FAST: Measures particles and fields in regions where aurora form.CINDI: Measures interactions of neutral and charged particles in the ionosphere. AIM: Images and measures noctilucent clouds. SVS pageGeospace Fleet:Geotail: Conducts measurements of electrons and ions in the Earth's magnetotail. Cluster: This is a group of four satellites which fly in formation to measure how particles and fields in the magnetosphere vary in space and time. SVS pageTHEMIS: This is a fleet of five satellites to study how magnetospheric instabilities produce substorms. SVS pageL1 Fleet: The L1 point is a Lagrange Point, a point between the Earth and the Sun where the gravitational pull is approximately equal. Spacecraft can orbit this location for continuous coverage of the Sun.SOHO: Studies the Sun with cameras and a multitude of other instruments. SVS pageACE: Measures the composition and characteristics of the solar wind. Wind: Measures particle flows and fields in the solar wind. Heliospheric FleetSTEREO-A and B: These two satellites observe the Sun, with imagers and particle detectors, off the Earth-Sun line, providing a 3-D view of solar activity. SVS pageHeliopause FleetVoyager 1 and 2: These spacecraft conducted the original 'Planetary Grand Tour' of the solar system in the 1970s and 1980s. They have now travelled further than any human-built spacecraft and are still returning measurements of the interplanetary medium. SVS pageThis enhanced, narrated visualization was shown at the SIGGRAPH 2009 Computer Animation Festival in New Orleans, LA in August 2009; an eariler version created for AGU was called NASA's Heliophysics Observatories Study the Sun and Geospace. || ",
            "hits": 126
        },
        {
            "id": 3495,
            "url": "https://svs.gsfc.nasa.gov/3495/",
            "result_type": "Visualization",
            "release_date": "2009-07-26T00:00:00-04:00",
            "title": "Heliophysics Great Observatory (Phase-1)",
            "description": "This visualization was an early piece of a larger, more complete visualization.To see the completed visualization please go HERE.This visualization shows many of the spacecraft in NASA's heliophysics great observatory fleet. The heliophysics fleet explores various aspects of the helipsphere including Earth's magnetosphere. To do this requires many spacecraft sampling data at many different places — close to the Earth, between the Earth and the Sun, and far away from the Earth.Phase-1 of this visualziation shows the orbits of spacecraft around the date when the Stereo spacecraft received lunar assists to get into solar orbit. This phase focuses on near-Earth orbiters and L1 orbiters. || ",
            "hits": 19
        },
        {
            "id": 3596,
            "url": "https://svs.gsfc.nasa.gov/3596/",
            "result_type": "Visualization",
            "release_date": "2009-04-21T00:00:00-04:00",
            "title": "Five-Year Average Global Temperature Anomalies from 1881 to 2008 for Science On a Sphere",
            "description": "Each year, scientists at NASA Goddard Institute for Space Studies analyze global temperature data. A rapid warming trend has occurred over the past 30 years. Calendar year 2008 was the coolest year since 2000, according to the Goddard Institute for Space Studies analysis of surface air temperature measurements. In this analysis, 2008 is the ninth warmest year in the period of instrumental measurements, which extends back to 1881. 2005 is the hottest year on record, and 2007 is tied with 1998 for second place. The Earth is experiencing the warmest level of the current interglacial period, or interval between ice ages, which has lasted nearly 12,000 years. This color-coded map displays a long term progression of changing global surface temperatures, from 1881 to 2008. Dark red indicates the greatest warming and dark blue indicates the greatest cooling. || ",
            "hits": 78
        },
        {
            "id": 3563,
            "url": "https://svs.gsfc.nasa.gov/3563/",
            "result_type": "Visualization",
            "release_date": "2008-10-29T00:00:00-04:00",
            "title": "Sea Ice Yearly Minimum with Graph Overlay 1979-2008",
            "description": "The continued significant reduction in the extent of the summer sea ice cover is a dramatic illustration of the pronounced impact increased global temperatures are having on the Arctic regions. There has also been a significant reduction in the relative amount of older, thicker ice. Satellite-based passive microwave images of the sea ice cover have provided a reliable tool for continuously monitoring changes in the extent of the Arctic ice cover since 1979. The ice parameters derived from satellite ice concentration data that are most relevant to climate change studies are sea ice extent and ice area. This visualization shows ice extent in the background and ice area in the foreground. Ice extent is defined here as the integrated sum of the areas of data elements (pixels) with at least 15% ice concentration while ice area is the integrated sum of the products of the area of each pixel and the corresponding ice concentration. Ice extent provides information about how far south (or north) the ice extends in winter and how far north (or south) it retreats toward the continent in the summer while the ice area provides the total area actually covered by sea ice which is useful for estimating the total volume and therefore mass, given the average ice thickness. For more information about these ice datasets, see The Journal of Geophysical Research VOL. 113, C02S07, doi:10.1029/2007JC004257, 2008 || ",
            "hits": 33
        },
        {
            "id": 3552,
            "url": "https://svs.gsfc.nasa.gov/3552/",
            "result_type": "Visualization",
            "release_date": "2008-09-20T00:00:00-04:00",
            "title": "Yearly Antarctic Sea Ice Minima from 1979 through 2008",
            "description": "This visualization shows Antarctic sea ice minima from 1979 through 2008. Near the end of each southern hemisphere summer (usually in February), the Antarctic sea ice cover reaches its minimum extent and what is left is called the perennial ice cover which consists mainly of thick multi-year ice floes. || ",
            "hits": 16
        },
        {
            "id": 3547,
            "url": "https://svs.gsfc.nasa.gov/3547/",
            "result_type": "Visualization",
            "release_date": "2008-09-11T00:00:00-04:00",
            "title": "Daily Arctic Sea Ice Minimum 2008 (using SSMI data)",
            "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.This visualization shows Artic sea ice from July 1, 2008 through Septemeber 14, 2008 based on the DMSP/SSMI instrument. The minimum Arctic sea ice extent occurred the week of September 12, 2008, when the extent was 4.52 million sq km (1.74 million sq miles). || ",
            "hits": 27
        },
        {
            "id": 3490,
            "url": "https://svs.gsfc.nasa.gov/3490/",
            "result_type": "Visualization",
            "release_date": "2008-01-16T00:00:00-05:00",
            "title": "Five-Year Average Global Temperature Anomalies from 1881 to 2007",
            "description": "Each year, scientists at NASA Goddard Institute for Space Studies analyze global temperature data. A rapid warming trend has occurred over the past 30 years, and the eight hottest years on the GISS record have occurred in the past decade. 2005 is the hottest year on record, and 2007 is tied with 1998 for second place. The Earth is experiencing the warmest level of the current interglacial period, or interval between ice ages, which has lasted nearly 12,000 years. This color-coded map displays a long term progression of changing global surface temperatures, from 1881 to 2007. Dark red indicates the greatest warming and dark blue indicates the greatest cooling. || ",
            "hits": 54
        },
        {
            "id": 3488,
            "url": "https://svs.gsfc.nasa.gov/3488/",
            "result_type": "Visualization",
            "release_date": "2008-01-09T00:00:00-05:00",
            "title": "La Niña 2007 Sea Surface Temperature Anomalies",
            "description": "This visualization shows the 2007 La Niña event in the Pacific Ocean.  Sea surface temperature (SST) anomalies from 2007 are shown based on a 3-day moving average using Aqua/AMSR-E SST data. || ",
            "hits": 36
        },
        {
            "id": 3478,
            "url": "https://svs.gsfc.nasa.gov/3478/",
            "result_type": "Visualization",
            "release_date": "2007-12-11T00:00:00-05:00",
            "title": "THEMIS Explores the Earth's Bow Shock",
            "description": "The solar wind's first contact with the Earth's magnetic field creates a region known as the bow shock, much like the bow wave of a boat moving through the water. This region can also create additional turbulence which generates bursts of explosion-like currents. In this visualization, the orbits of the THEMIS fleet are combined with a 2-D slice from a hybrid magnetosphere simulation which illustrates these turbulent regions in the bow shock. This hybrid magnetosphere simulation treats the slow-moving ions by particle-in-cell computational methods and the faster electrons as a massless fluid. These simulations more accurately represent the magnetospheric physics, enabling a view of turbulent non-linear processes not visible in the simpler magnetohydrodynamic models. In this simulation, the color table is somewhat unusual. In order of increasing density, the colors run from white through violet, blue, green to black. || ",
            "hits": 85
        },
        {
            "id": 3484,
            "url": "https://svs.gsfc.nasa.gov/3484/",
            "result_type": "Visualization",
            "release_date": "2007-12-10T00:00:00-05:00",
            "title": "The First Season of Noctilucent Clouds from AIM",
            "description": "The Aeronomy of Ice in the Mesosphere (AIM) mission is the first satellite dedicated to the study of noctilucent clouds. Noctilucent clouds, sometimes called Polar Mesospheric Clouds, were first reported in 1885. Forming at altitudes above 50 miles, they are so faint that they can only be seen from the ground in the reflected light of the Sun after it has set below the horizon. Since their discovery, their cause has been a subject of study as a possible indicator of climate change. For those interested in observing noctilucent clouds from the ground, there are images and information at SpaceWeather's Gallery of Noctilucent Clouds. || ",
            "hits": 36
        },
        {
            "id": 3485,
            "url": "https://svs.gsfc.nasa.gov/3485/",
            "result_type": "Visualization",
            "release_date": "2007-12-10T00:00:00-05:00",
            "title": "THEMIS and the March 2007 Substorm",
            "description": "NASA's Time History of Events and Macroscale Interactions during Substorms (THEMIS) mission observed the dynamics of a rapidly developing substorm in March of 2007.  This visualization combines the orbits of the THEMIS satellites with a magnetohydrodynamical simulation of the Earth's magnetosphere corresponding to this time. || ",
            "hits": 40
        },
        {
            "id": 3486,
            "url": "https://svs.gsfc.nasa.gov/3486/",
            "result_type": "Visualization",
            "release_date": "2007-12-03T00:00:00-05:00",
            "title": "GEOS-5 Model Run Showing Hurricane Katrina",
            "description": "This visualization shows data from a global atmospheric assimilation model for August 2005. In early August the camera looks towards the North pole showing the swirling winds caused by the Coriolis effect; then the camera moves down towards Africa which is the birthplace of many tropical storms; finally, the camera moves across the Atlantic as many of the storms form during 2005 ending with Hurricane Katrina. This visualization was created in support of demonstrations given at the Supercomputing 2007 Conference. || ",
            "hits": 35
        },
        {
            "id": 3476,
            "url": "https://svs.gsfc.nasa.gov/3476/",
            "result_type": "Visualization",
            "release_date": "2007-11-07T00:00:00-05:00",
            "title": "Annual Gradient Melt over Greenland 1979 through 2007",
            "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": 20
        },
        {
            "id": 3475,
            "url": "https://svs.gsfc.nasa.gov/3475/",
            "result_type": "Visualization",
            "release_date": "2007-11-06T00:00:00-05:00",
            "title": "Annual Accumulated Melt over Greenland 1979 through 2007",
            "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 shows the regions of the Greenland ice sheet over which melt occurred more than three days between May 1st and September 30th for each year. || ",
            "hits": 75
        },
        {
            "id": 3470,
            "url": "https://svs.gsfc.nasa.gov/3470/",
            "result_type": "Visualization",
            "release_date": "2007-10-05T00:00:00-04:00",
            "title": "Comparison of Minimum Sea Ice Between 2005 and 2007 - Split Screen",
            "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 2007 Arctic summer sea ice has reached the lowest extent of perennial ice cover on record - nearly 25% less than the previous low set in 2005. The area of the perennial ice has been steadily decreasing since the satellite record began in 1979, at a rate of about 10% per decade. But the 2007 minimum, reached on September 14, is far below the previous record made in 2005 and is about 38% lower than the climatological average. Such a dramatic loss has implications for ecology, climate and industry.This animation compares the difference between the perennial sea ice minimum extent on September 21, 2005 and September 14, 2007.  With a split screen, the area of the melted region is compared with the size of the state of California. || ",
            "hits": 27
        },
        {
            "id": 3467,
            "url": "https://svs.gsfc.nasa.gov/3467/",
            "result_type": "Visualization",
            "release_date": "2007-10-04T00:00:00-04:00",
            "title": "Updated Jakobshavn Glacier Calving Front Retreat from 2001 through 2006 with Blue/White Elevation Change over Greenland",
            "description": "Since measurements of Jakobshavn Isbrae were first taken in 1850, the glacier gradually receded until about 1950, where it remained stable for the past 5 decades. However, from 1997 to 2006, the glacier has begun to recede again, this time almost doubling in speed. The finding is important for many reasons. As more ice moves from glaciers on land into the ocean, ocean sea levels raise. 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 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 animation shows the glacier's flow in 2000, along with changes in the glacier's calving front between 2001 and 2006.This animation is an update of, and extension to, animation IDs #3374 and #3434.In this version, the pause on the approach to the Jakobshavn glacier where the meltwater lakes on the Greenland ice sheet are visible is shortened. In addition, the colors showing regions of elevation increase and decrease over the Greenland ice sheet are modified. || ",
            "hits": 33
        },
        {
            "id": 3469,
            "url": "https://svs.gsfc.nasa.gov/3469/",
            "result_type": "Visualization",
            "release_date": "2007-10-04T00:00:00-04:00",
            "title": "Comparison of Minimum Sea Ice between 2005 and 2007 - Full Screen",
            "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 2007 Arctic summer sea ice has reached the lowest extent of perennial ice cover on record - nearly 25% less than the previous low set in 2005. The area of the perennial ice has been steadily decreasing since the satellite record began in 1979, at a rate of about 10% per decade. But the 2007 minimum, reached on September 14, is far below the previous record made in 2005 and is about 38% lower than the climatological average. Such a dramatic loss has implications for ecology, climate and industry.In this animation, the 2005 sea ice minimum extent is initially shown over the Arctic. As the 2005 minimum sea ice  fades to orange, the 2007 minimum extent comes into view. The state of California, shown in green, is placed in the melt region for a comparison of the size difference between the two years.. || ",
            "hits": 42
        },
        {
            "id": 3466,
            "url": "https://svs.gsfc.nasa.gov/3466/",
            "result_type": "Visualization",
            "release_date": "2007-10-02T00:00:00-04:00",
            "title": "2007 Arctic Sea Ice from AMSR-E with Greenland in Foreground",
            "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 2007 Arctic summer sea ice has reached the lowest extent of perennial ice cover on record - nearly 25% less than the previous low set in 2005. The area of the perennial ice has been steadily decreasing since the satellite record began in 1979, at a rate of about 10% per decade. But the 2007 minimum, reached on September 14, is far below the previous record made in 2005 and is about 38% lower than the climatological average. Such a dramatic loss has implications for ecology, climate and industry.The AMSR-E instrument on the Aqua satellite acquires high resolution measurements of the 89 GHz brightness temperature near the poles. Because this is a passive microwave sensor which is not so sensitive to atmospheric effects, this sensor is able to observe the entire polar region every day, even through clouds and snowfall. This animation progresses at a rate of six frames per day from January 1, 2007 through the minimum extent which occurred on September 14, 2007. The false color of the sea ice, derived from the AMSR-E 6.25 km 89 GHz brightness temperature, highlights the fissures or divergence areas in the sea ice cover by warm brightness temperatures (in blue) while cold brightness temperatures, shown in brighter white, represent consolidated sea ice. The sea ice edge is defined by the 15% ice concentration contour in the three-day moving average of the AMSR-E 12.5 km sea ice concentration data while ice extent is the sum of all pixels with at least 15% ice. || ",
            "hits": 20
        },
        {
            "id": 3464,
            "url": "https://svs.gsfc.nasa.gov/3464/",
            "result_type": "Visualization",
            "release_date": "2007-09-26T00:00:00-04:00",
            "title": "Sea Ice Yearly Minimum 1979-2007",
            "description": "In 2007, Arctic summer sea ice reached its lowest extent on record - nearly 25% less than the previous low set in 2005. At the end of each summer, the sea ice cover reaches its minimum extent and what is left is what is called the perennial ice cover which consists mainly of thick multi-year ice floes. The area of the perennial ice has been steadily decreasing since the satellite record began in 1979, at a rate of about 10% per decade. But the 2007 minimum, reached on September 14, is far below the previous record made in 2005 and is about 38% lower than the climatological average. Such a dramatic loss has implications for ecology, climate and industry as new shipping lanes open.This visualization shows the annual Arctic sea ice minimum from 1979 to 2007. A graph is overlaid that shows the area in million square kilometers for each year's minimum day. The previous record and the 2007 record are highlighted. || ",
            "hits": 150
        },
        {
            "id": 3465,
            "url": "https://svs.gsfc.nasa.gov/3465/",
            "result_type": "Visualization",
            "release_date": "2007-09-26T00:00:00-04:00",
            "title": "Daily Arctic Sea Ice from August/September 2007",
            "description": "In 2007, Arctic summer sea ice reached its lowest extent on record - nearly 25% less than the previous low set in 2005. At the end of each summer, the sea ice cover reaches its minimum extent and what is left is what is called the perennial ice cover which consists mainly of thick multi-year ice floes. The area of the perennial ice has been steadily decreasing since the satellite record began in 1979, at a rate of about 10% per decade. But the 2007 minimum, reached on September 14, is far below the previous record made in 2005 and is about 38% lower than the climatological average. Such a dramatic loss has implications for ecology, climate and industry as new shipping lanes open.This visualization shows 2007 daily Arctic sea ice from from 1 August through 19 September. || ",
            "hits": 43
        },
        {
            "id": 3449,
            "url": "https://svs.gsfc.nasa.gov/3449/",
            "result_type": "Visualization",
            "release_date": "2007-09-06T00:00:00-04:00",
            "title": "Fires in Greece as seen by Aqua/AIRS",
            "description": "A series of fires across Greece in August of 2007 burned 469,000 acres and claimed the lives of 65 people. The fires, in which an estimated 4,000 people lost their homes,  mostly occurred in the southern part of of the country.In this visualization, the carbon monoxide signature from the fires in Greece is revealed in data retrieved by the Atmospheric Infrared Sounder (AIRS) on NASA's Aqua spacecraft. Forest fires create large amounts of carbon monoxide. AIRS provides daily global maps of carbon monoxide from space, allowing scientists to follow the global transport of this gas day-to-day. This visualization shows the amount of Carbon monoxide that has risen 2 to 8 kilometers (6,500 ft to 26,200 ft altitude) from August 24-28, 2007.  More carbon monoxide generally means more pollution, either natural from wildfires or from industrial and domestic sources.Beginning August 24, a significant plume emanates from the extensive fires burning in Greece. This plume moves southeast across the Mediterranean Sea and over North Africa from August 24 to 28. It crosses to Africa and arcs westward over the Sahara Desert and continues to curl around over the Eastern Mediterranean toward Sardinia and Corsica. || ",
            "hits": 28
        },
        {
            "id": 3437,
            "url": "https://svs.gsfc.nasa.gov/3437/",
            "result_type": "Visualization",
            "release_date": "2007-07-22T00:00:00-04:00",
            "title": "The A-Train Observes Tropical Storm Debby",
            "description": "The A-Train is a group of spacecraft flying in close formation allowing data taken by each instrument to be correlated to the other instruments providing data synergy. The A-Train includes Aqua, CloudSat, CALIPSO, Parasol, and Aura. The animation begins showing the Earth with moving clouds and with a day/night terminator. Time slows down, and A-train spacecraft orbits are added during a daytime pass. The orbits progress around the globe for 12 hours. During a night time pass the camera zooms into Tropical Storm Debby as the A-train flies over on August 24, 2006. Data sets from some of the A-train's spacecraft/instruments are shown including Aqua/MODIS, CloudSat, CALIPSO, and Aqua/AIRS. This visualization was created to support an A-Train session at the 2007 International Geoscience and Remote Sensing Symposium (IGARSS). || ",
            "hits": 42
        },
        {
            "id": 3438,
            "url": "https://svs.gsfc.nasa.gov/3438/",
            "result_type": "Visualization",
            "release_date": "2007-07-04T00:00:00-04:00",
            "title": "Hurricane Rita Push In",
            "description": "This animation is a simple push in to GOES-based clouds showing Hurricane Rita make its way through the Gulf of Mexico and then inland. This animation was created in support of the 'Exploring Time' show produced by Red Hill Studios and Tom Lucas Productions. For more information go to http://exploringtime.org. || ",
            "hits": 11
        },
        {
            "id": 3413,
            "url": "https://svs.gsfc.nasa.gov/3413/",
            "result_type": "Visualization",
            "release_date": "2007-05-10T00:00:00-04:00",
            "title": "Towers in the Tempest",
            "description": "This visualization won Honorable Mention in the National Science Foundation's Science and Engineering Visualization Challenge in September 2007. It was also shown during the SIGGRAPH 2008 Computer Animation Festival in Los Angeles, CA. 'Towers in the Tempest' is a 4.5 minute narrated animation that explains recent scientific insights into how hurricanes intensify. This intensification can be caused by a phenomenon called a 'hot tower'. For the first time, research meteorologists have run complex simulations using a very fine temporal resolution of 3 minutes. Combining this simulation data with satellite observations enables detailed study of 'hot towers'. The science of 'hot towers' is described using: observed hurricane data from a satellite, descriptive illustrations, and volumetric visualizations of simulation data. The first section of the animation shows actual data from Hurricane Bonnie observed by NASA's Tropical Rainfall Measuring Mission (TRMM) spacecraft. Three dimensional precipitation radar data reveal a strong 'hot tower' in Hurricane Bonnie's internal structure. The second section uses illustrations to show the dynamics of a hurricane and the formation of 'hot towers'. 'Hot towers' are formed as air spirals inward towards the eye and is forced rapidly upwards, accelerating the movement of energy into high altitude clouds. The third section shows these processes using volumetric cloud, wind, and vorticity data from a supercomputer simulation of Hurricane Bonnie. Vertical wind speed data highlights a 'hot tower'. Arrows representing the wind field move rapidly up into the 'hot tower, boosting the energy and intensifying the hurricane. Combining satellite observations with super-computer simulations provides a powerful tool for studying Earth's complex systems. The complete script is available here . The storyboard is available here . There is also a movie of storyboard drawings with narration below. || ",
            "hits": 77
        },
        {
            "id": 3354,
            "url": "https://svs.gsfc.nasa.gov/3354/",
            "result_type": "Visualization",
            "release_date": "2006-05-31T00:00:00-04:00",
            "title": "27 Storms: Arlene to Zeta",
            "description": "Many records were broken during the 2005 Atlantic hurricane season including the most hurricanes ever, the most category 5 hurricanes, and the most intense hurricane ever recorded in the Atlantic as measured by atmospheric pressure. This visualization shows all 27 named storms that formed in the 2005 Atlantic hurricane season and examines some of the conditions that made hurricane formation so favorable.The animation begins by showing the regions of warm water that are favorable for storm development advancing northward through the peak of hurricane season and then receding as the waters cool. The thermal energy in these warm waters powers the hurricanes. Strong shearing winds in the troposphere can disrupt developing young storms, but measurements indicate that there was very little shearing wind activity in 2005 to impede storm formation.Sea surface temperatures, clouds, storm tracks, and hurricane category labels are shown as the hurricane season progresses.This visualization shows some of the actual data that NASA and NOAA satellites measured in 2005 — data used to predict the paths and intensities of hurricanes. Satellite data play a vital role in helping us understand the land, ocean, and atmosphere systems that have such dramatic effects on our lives.NOTE: This animation shows the named storms from the 2005 hurricane season. During a re-analysis of 2005, NOAA's Tropical Prediction Center/National Hurricane Center determined that a short-lived subtropcial storm developed near the Azores Islands in late September, increasing the 2005 tropical storm count from 27 to 28. This storm was not named and is not shown in this animation.'27 Storms: Arlene to Zeta' played in the SIGGRAPH 2007 Computer Animation Festival in August 2007. It was also a finalist in the 2006 NSF Science and Engineering Visualization Challenge. || ",
            "hits": 55
        }
    ]
}