{ "count": 92, "next": null, "previous": null, "results": [ { "id": 14617, "url": "https://svs.gsfc.nasa.gov/14617/", "result_type": "Produced Video", "release_date": "2024-07-31T00:00:00-04:00", "title": "A Decade of Global Precipitation", "description": "Music: \"One Last Go,\" \"Building Expectations,\" \"Our Dream,\" \"A Thousand Pieces,\" \"Someone Else,\" \"Mellow Island,\" \"The Coast,\" \"Mirror Image,\" \"Beautiful Entropy,\" \"Northern Journey,\" \"Midnight Movements,\" \"Coming Home,\" Universal Production Music.Complete transcript available. || GPM_10th_prores.mov (1920x1080) [8.7 GB] || GPM10_thumb.png (1280x720) [1.5 MB] || GPM10_thumb_print.jpg (1024x576) [288.3 KB] || GPM10_thumb_searchweb.png (320x180) [106.6 KB] || GPM10_thumb_thm.png (80x40) [8.1 KB] || GPM_10th_YT.webm (1920x1080) [81.3 MB] || GPM_10th.en_US.srt [12.1 KB] || GPM_10th.en_US.vtt [11.5 KB] || GPM_10th_YT.mp4 (1920x1080) [1.0 GB] || ", "hits": 109 }, { "id": 4782, "url": "https://svs.gsfc.nasa.gov/4782/", "result_type": "Visualization", "release_date": "2020-03-04T00:00:00-05:00", "title": "Vegetation Index Anomalies and Rift Valley fever (RVF) outbreaks in South Africa region: 2008-2011", "description": "This visualization with corresponding data dashboard shows the relationship between vegetation index anomalies and outbreaks of Rift Valley fever (RVF) during 2008 and 2011 in the South Africa region. The sequence starts in 2007 looking at the entire continent of Africa and zooms in the region of South Africa to take a closer look at the patterns between ENSO events (El Niño and La Niña), above normal vegetaion over land (green) and RVF outbreak locations (orange pins). || NDVI_RVF_SAfrica_Composite_3840x2160_2657_print.jpg (1024x576) [102.7 KB] || NDVI_RVF_SAfrica_Composite_3840x2160_2657_searchweb.png (320x180) [57.8 KB] || NDVI_RVF_SAfrica_Composite_3840x2160_2657_thm.png (80x40) [5.0 KB] || NDVI_RVF_SAfrica_Composite_1920x1080p30.mp4 (1920x1080) [35.6 MB] || NDVI_RVF_SAfrica_Composite_1920x1080p30.webm (1920x1080) [7.1 MB] || Composite (3840x2160) [0 Item(s)] || Composite (3840x2160) [0 Item(s)] || NDVI_RVF_SAfrica_Composite_3840x2160_p30.mp4 (3840x2160) [72.6 MB] || NDVI_RVF_SAfrica_Composite_3840x2160_2657.tif (3840x2160) [31.6 MB] || ", "hits": 35 }, { "id": 4783, "url": "https://svs.gsfc.nasa.gov/4783/", "result_type": "Visualization", "release_date": "2020-02-27T00:00:00-05:00", "title": "Precipitation Anomaly and Rift Valley fever (RVF) outbreaks in South Africa: 2008-2011", "description": "This visualization with corresponding data dashboard shows the relationship between precipitation anomalies and outbreaks of Rift Valley fever (RVF) during 2008 and 2011 in the South Africa region. The sequence starts in 2007 looking at the entire continent of Africa and zooms in the region of South Africa to take a closer look at the patterns between ENSO events (El Niño and La Niña), above normal precipitation over land (blue) and RVF outbreak locations (orange pins). || PrecipRVF_SAfrica_Composite_3840x2160_3422_print.jpg (1024x576) [97.8 KB] || PrecipRVF_SAfrica_Composite_3840x2160_3422_searchweb.png (320x180) [57.6 KB] || PrecipRVF_SAfrica_Composite_3840x2160_3422_thm.png (80x40) [5.2 KB] || PrecipRVF_SAfrica_Composite_1920x1080p30.mp4 (1920x1080) [31.5 MB] || Composite (3840x2160) [0 Item(s)] || Composite (3840x2160) [0 Item(s)] || PrecipRVF_SAfrica_Composite_3840x2160_p30.mp4 (3840x2160) [68.2 MB] || PrecipRVF_SAfrica_Composite_3840x2160_3422.tif (3840x2160) [4.0 MB] || PrecipRVF_SAfrica_Composite_3840x2160_p30.webm (3840x2160) [14.1 MB] || ", "hits": 38 }, { "id": 4724, "url": "https://svs.gsfc.nasa.gov/4724/", "result_type": "Visualization", "release_date": "2020-02-21T00:00:00-05:00", "title": "Vegetation index anomalies and Rift Valley fever (RVF) outbreaks in Africa and Middle East during 2000-2018", "description": "Data visualization featuring vegetation index anomalies over Africa and Middle East and locations of Rift Valley Fever (RVF) outbreaks (orange pins) during the period of 2000-2018. Frames are provided in 4K resolution. || Africa_NDVIRVF_2000_2018_3840x2160_2430_print.jpg (1024x576) [78.8 KB] || Africa_NDVIRVF_2000_2018_3840x2160_2430_searchweb.png (320x180) [48.8 KB] || Africa_NDVIRVF_2000_2018_3840x2160_2430_thm.png (80x40) [4.4 KB] || Africa_NDVIRVFComposite_2000_2018_3840x2160_1080p30.mp4 (1920x1080) [88.7 MB] || Africa_NDVIRVFComposite_2000_2018_3840x2160_1080p30.webm (1920x1080) [25.5 MB] || Africa_NDVIRVF_2000_2018_Composite (3840x2160) [0 Item(s)] || Africa_NDVIRVF_2000_2018_3840x2160_2430.tif (3840x2160) [6.0 MB] || Africa_NDVIRVFComposite_2000_2018_3840x2160_p30.mp4 (3840x2160) [283.2 MB] || ", "hits": 36 }, { "id": 4747, "url": "https://svs.gsfc.nasa.gov/4747/", "result_type": "Visualization", "release_date": "2020-02-21T00:00:00-05:00", "title": "Vegetation index anomalies and Rift Valley fever (RVF) outbreaks in South Africa during 2009-2011", "description": "This visualization shows the relationship between vegetation index anomalies (Normalized Difference Vegetation Index - NDVI) data and outbreak locations of Rift Valley fever (RVf) during 2008 and 2011. The sequence starts in 2007 looking at the entire continent of Africa and zooms in the region of South Africa slowly to take a closer look at the above normal vegetation (green) and RVF outbreak locations (orange pins). Frames are provided in 4K resolution. || SAfrica_NDVIRVFwDates_3840x2160_1263_print.jpg (1024x576) [86.2 KB] || SAfrica_NDVIRVFwDates_3840x2160_1263_searchweb.png (320x180) [56.0 KB] || SAfrica_NDVIRVFwDates_3840x2160_1263_thm.png (80x40) [4.5 KB] || SAfrica_NDVIRVFComposite_1080p30.mp4 (1920x1080) [31.6 MB] || SAfrica_NDVIRVFComposite_1080p30.webm (1920x1080) [7.0 MB] || Composite (3840x2160) [0 Item(s)] || SAfrica_NDVIRVFwDates_3840x2160_1263.tif (3840x2160) [7.6 MB] || SAfrica_NDVIRVFComposite_3840x2160_p30.mp4 (3840x2160) [96.4 MB] || ", "hits": 41 }, { "id": 4784, "url": "https://svs.gsfc.nasa.gov/4784/", "result_type": "Visualization", "release_date": "2020-02-21T00:00:00-05:00", "title": "ENSO Teleconnections and Rift Valley fever (RVF) Outbreaks", "description": "During the 2008-2011 period, ENSO events brought changes to weather conditions across the globe that triggered infectious disease outbreaks, such as mosquito-borne Rift Valley fever (RVF) in South Africa. This visualization with corresponding data dashboard shows how Sea Surface Temperature (SST) anomalies in the equatorial Pacific Ocean (left) gave rise to Precipitation (center) and Vegetation (right) Index Anomalies in South Africa. During La Niña events, Southern Africa receives persistent and above normal rainfall, which floods habitats of RVF mosquito vectors triggering hatching of RVF virus infected eggs. The above-normal rainfall is followed by an increase in vegetation creating appropriate habitats for the mosquito vectors setting the stage for RVF outbreak activity, which in simple terms means an uptick in mosquito populations that cause infections of domestic livestock and human populations with the RVF virus. However, in rare cases there is a departure from this canonical response, as we can observe in 2009-2010, when a mild El Niño event resulted in above normal vegetaton and a large RVF outbreak in South Africa. || ENSO_TeleconnectionsRVF_2008_2011_3840x2160_2960_print.jpg (1024x576) [107.8 KB] || ENSO_TeleconnectionsRVF_2008_2011_3840x2160_3525_searchweb.png (320x180) [63.0 KB] || ENSO_TeleconnectionsRVF_2008_2011_3840x2160_3525_thm.png (80x40) [6.5 KB] || ENSO_Teleconnections (1920x1080) [0 Item(s)] || SST_Precip_NDVI_Dashboard_2008_2011_1920x1080_p30.mp4 (1920x1080) [22.7 MB] || ENSO_Teleconnections (3840x2160) [0 Item(s)] || ENSO_Teleconnections (3840x2160) [0 Item(s)] || ENSO_TeleconnectionsRVF_2008_2011_3840x2160_p30.mp4 (3840x2160) [56.0 MB] || ENSO_TeleconnectionsRVF_2008_2011_3840x2160_p30.webm (3840x2160) [10.2 MB] || ENSO_TeleconnectionsRVF_2008_2011_3840x2160_2960.tif (3840x2160) [3.4 MB] || ENSO_TeleconnectionsRVF_2008_2011_3840x2160_3525.tif (3840x2160) [3.4 MB] || ", "hits": 64 }, { "id": 4785, "url": "https://svs.gsfc.nasa.gov/4785/", "result_type": "Visualization", "release_date": "2020-01-09T00:00:00-05:00", "title": "Sea Surface Temperature Anomalies and Patterns of Global Disease Outbreaks: 2009-2018 (4K version)", "description": "This webpage provides the 4K version of: Sea Surface Temperature anomalies and patterns of Global Disease Outbreaks: 2009-2018 (updated), released on January 6, 2020.Content has been created for 4K display systems that can handle finer resolution and details. It is recommended to use content from this version for HD (1920x1080) and lower resolutions. || ", "hits": 58 }, { "id": 4781, "url": "https://svs.gsfc.nasa.gov/4781/", "result_type": "Visualization", "release_date": "2020-01-06T00:00:00-05:00", "title": "Sea Surface Temperature anomalies and patterns of Global Disease Outbreaks: 2009-2018 (updated)", "description": "This visualization shows the variability in global sea surface temperature anomalies, the associated ENSO index timeline and locations of infectious disease outbreaks over the global land surface. || CompositeWLabel_2009_2018_1920x108060fps_1705_print.jpg (1024x576) [135.9 KB] || CompositeWLabel_2009_2018_1920x108060fps_1705_searchweb.png (320x180) [82.6 KB] || CompositeWLabel_2009_2018_1920x108060fps_1705_thm.png (80x40) [7.1 KB] || Composite_StrongElNino (1920x1080) [0 Item(s)] || Composite_StrongElNino (1920x1080) [0 Item(s)] || CompositeWLabel_2009_2018_1920x1080_p30.mp4 (1920x1080) [22.1 MB] || CompositeWLabel_2009_2018_1920x108060fps_1705.tif (1920x1080) [1.3 MB] || CompositeWLabel_2009_2018_1920x1080_p30.webm (1920x1080) [4.6 MB] || CompositeWLabel_2009_2018_1920x1080_p30.mp4.hwshow [205 bytes] || ", "hits": 133 }, { "id": 4765, "url": "https://svs.gsfc.nasa.gov/4765/", "result_type": "Visualization", "release_date": "2019-12-10T00:00:00-05:00", "title": "Sea Surface Temperature anomalies and patterns of Global Disease Outbreaks: 2009-2018", "description": "El Niño is an irregularly recurring climate pattern characterized by warmer than usual ocean temperatures in the equatorial Pacific, which creates a ripple effect of anticipated weather changes in far-spread regions. This visualization captures monthly Sea Surface Temperature (SST) anomalies around the world from 2009-2018, along with locations of global disease outbreaks and a corresponding timeline showcasing the Niño 3.4 Index. The Niño 3.4 Index represents average equatorial sea surface temperatures in the Pacific Ocean from about the International Date Line to the coast of South America. Highlighted in the timeline are the above average El Niño years, in which sea surface temperature anomalies peaked during 2015-2016. || SSTENSO_Diseases_Comp_2009_2018_1920x1080_0769_print.jpg (1024x576) [130.6 KB] || SSTENSO_Diseases_Comp_2009_2018_1920x1080_0769_searchweb.png (320x180) [79.7 KB] || SSTENSO_Diseases_Comp_2009_2018_1920x1080_0769_thm.png (80x40) [7.0 KB] || Composite (1920x1080) [0 Item(s)] || Composite (1920x1080) [0 Item(s)] || SSTENSO_Diseases_Comp_2009_2018_1920x1080_p30.mp4 (1920x1080) [23.0 MB] || SSTENSO_Diseases_Comp_2009_2018_1920x1080_0769.tif (1920x1080) [1.3 MB] || SSTENSO_Diseases_Comp_2009_2018_1920x1080_p30.webm (1920x1080) [4.7 MB] || SSTENSO_Diseases_Comp_2009_2018_1920x1080_p30.mp4.hwshow [211 bytes] || ", "hits": 139 }, { "id": 4693, "url": "https://svs.gsfc.nasa.gov/4693/", "result_type": "Visualization", "release_date": "2019-02-28T09:00:00-05:00", "title": "Precipitation Anomaly and Dengue Outbreaks in South East Asia: 2015-2016", "description": "The 2015-2016 El Niño event brought changes to weather conditions across the globe that triggered regional disease outbreaks, including mosquito-borne dengue fever in Southeast Asia. This visualization with corresponding timeplot graph reveals the relationship between precipitation anomaly in Southeast Asia and dengue outbreaks. Drier than normal habitats drew mosquitoes into populated, urban areas containing the open water needed for laying eggs. As the air warmed, mosquitoes also grew hungrier and reached sexual maturity more quickly, resulting in an increase in mosquito bites. || SEAsia_PrecipDengueComposite_1920x1080_1211_print.jpg (1024x576) [75.8 KB] || SEAsia_PrecipDengueComposite_1920x1080_1211_searchweb.png (320x180) [52.9 KB] || SEAsia_PrecipDengueComposite_1920x1080_1211_thm.png (80x40) [5.4 KB] || SEAsia_PrecipDengueComposite_1920x1080_p30.webm (1920x1080) [6.4 MB] || SEAsia_PrecipDengue_Composite (1920x1080) [0 Item(s)] || SEAsia_PrecipDengueComposite_1920x1080_p30.mp4 (1920x1080) [14.8 MB] || SEAsia_PrecipDengueComposite_1920x1080_1211.tif (1920x1080) [1.5 MB] || SEAsia_PrecipDengueComposite (3840x2160) [0 Item(s)] || ", "hits": 35 }, { "id": 4695, "url": "https://svs.gsfc.nasa.gov/4695/", "result_type": "Visualization", "release_date": "2019-02-28T09:00:00-05:00", "title": "Niño 3.4 Index and Sea Surface Temperature Anomaly Timeline: 1982-2017", "description": "This visualization captures Sea Surface Temperature (SST) anomalies around the world from 1982 to 2017, along with a corresponding timeplot graph focusing on the Niño 3.4 SST Index region (5N-5S, 120W-170W), which represents average equatorial sea surface temperatures in the Pacific Ocean from about the International Date Line to the coast of South America. Highlighted in the timeline are the El Niño years, in which sea surface temperature anomalies peaked: 1982-1983, 1997-1998, and 2015-2016. || NINO3.4SST_FlatMapComposite_1920x1080_00932_print.jpg (1024x576) [104.9 KB] || NINO3.4SST_FlatMapComposite_1920x1080_00932_searchweb.png (320x180) [72.1 KB] || NINO3.4SST_FlatMapComposite_1920x1080_00932_thm.png (80x40) [6.8 KB] || SST_Nino3.4Index_1982_2017_Composite (1920x1080) [0 Item(s)] || NINO3.4SST_FlatMapComposite_1920x1080_p30.mp4 (1920x1080) [57.2 MB] || NINO3.4SST_FlatMapComposite_1920x1080_00932.tif (1920x1080) [1.4 MB] || NINO3.4SST_FlatMapComposite_1920x1080_p30.webm (1920x1080) [9.3 MB] || SSTNino3.4Index_1982_2017_Composite (3840x2160) [0 Item(s)] || ", "hits": 661 }, { "id": 4696, "url": "https://svs.gsfc.nasa.gov/4696/", "result_type": "Visualization", "release_date": "2019-02-28T09:00:00-05:00", "title": "Land Surface Temperature Anomaly and Dengue Outbreaks in South East Asia Region: 2015-2016", "description": "The 2015-2016 El Niño event brought changes to weather conditions across the globe that triggered regional disease outbreaks, including mosquito-borne dengue fever in Southeast Asia. This visualization with corresponding timeplot graph reveals the relationship between land surface temperature anomaly in Southeast Asia and dengue outbreaks. Higher than normal land surface temperatures results in an increase of dengue reported locations. || SEAsia_LSTDiseases_1920x1080_1730_print.jpg (1024x576) [85.1 KB] || SEAsia_LSTDiseases_1920x1080_1730_searchweb.png (320x180) [54.4 KB] || SEAsia_LSTDiseases_1920x1080_1730_thm.png (80x40) [5.3 KB] || SEAsia_LSTDengue_Composite (1920x1080) [0 Item(s)] || SEAsia_LSTDiseases_1920x1080_p30.mp4 (1920x1080) [33.8 MB] || SEAsia_LSTDiseases_1920x1080_1730.tif (1920x1080) [1.7 MB] || SEAsia_LSTDiseases_1920x1080_p30.webm (1920x1080) [6.2 MB] || SEAsia_LSTDengue_Composite (3840x2160) [0 Item(s)] || ", "hits": 43 }, { "id": 4697, "url": "https://svs.gsfc.nasa.gov/4697/", "result_type": "Visualization", "release_date": "2019-02-28T09:00:00-05:00", "title": "ENSO teleconnections in South East Asia for the period of 2015-2016", "description": "The 2015-2016 strong El Niño event brought changes to weather conditions across the globe that triggered regional infectious disease outbreaks, including mosquito-borne dengue fever in South East Asia. This visualization with corresponding multi-plot graph shows how Sea Surface Temperature anomalies in the equatorial Pacific Ocean (left), resulted in anomalous drought conditions (center) and increase in land surface temperatures (right) in South East Asia. During the 2015-2016 El Niño event, the South East Asia region received below than normal precipitation resulting in drier and warner than normal conditions, which increased the populations of mosquito vectors in urban areas, where there are open water storage containers providing ideal habitats for mosquito production. In addition, the higher than normal temperature on land shortens the maturation time of larvae to adult mosquitos and induces frequent blood feeding/biting of humans by mosquito vectors resulting in the amplification of dengue disease outbreaks over the South East Asia region. || SST_LST_Precip_2014_2016_Comp_print.jpg (1024x576) [82.9 KB] || SST_LST_Precip_2014_2016_Comp_searchweb.png (320x180) [51.5 KB] || SST_LST_Precip_2014_2016_Comp_thm.png (80x40) [6.0 KB] || SST_Precip_LST_Plot_Composite (1920x1080) [0 Item(s)] || SST_LST_Precip_2014_2016_Comp_1080p30.mp4 (1920x1080) [9.7 MB] || SST_LST_Precip_2014_2016_Comp.tif (1920x1080) [1.1 MB] || SST_LST_Precip_2014_2016_Comp_1080p30.webm (1920x1080) [4.2 MB] || TeleconnectionsSEAsia (3840x2160) [0 Item(s)] || SST_LST_Precip_2014_2016_Comp_1080p30.mp4.hwshow [203 bytes] || ", "hits": 151 }, { "id": 30728, "url": "https://svs.gsfc.nasa.gov/30728/", "result_type": "Hyperwall Visual", "release_date": "2015-11-27T00:00:00-05:00", "title": "NOAA Coral Reef Watch 2015", "description": "The NOAA Coral Reef Watch program's satellite data provide current reef environmental conditions to quickly identify areas at risk for coral bleaching, where corals lose the symbiotic algae that give them their distinctive colors. If a coral is severely bleached, disease and partial mortality become likely, and the entire colony may die.The satellite data used to create these products includes the polar orbiters Suomi-NPP/VIIRS and MetOp-B/AVHRR, and the geostationary satellites MSG-3, MTSAT-2, GOES-East, and GOES-West. || ", "hits": 146 }, { "id": 3367, "url": "https://svs.gsfc.nasa.gov/3367/", "result_type": "Visualization", "release_date": "2006-09-23T00:00:00-04:00", "title": "Arctic Monthly Average Sea Ice Climatology", "description": "Sea ice advances and retreats in concert with the seasons. Monthly sea ice climatology is created by averaging the sea ice for each month over a period of many years. This animation shows the monthly average sea ice climatology over the Arctic region derived from years 1979 through 2002. || ", "hits": 67 }, { "id": 3110, "url": "https://svs.gsfc.nasa.gov/3110/", "result_type": "Visualization", "release_date": "2005-02-16T12:00:00-05:00", "title": "Vegetation Images Show Drought in Western US (WMS)", "description": "Satellite data can gauge the health of plants, which is a good indicator of drought. The Normalized Difference Vegetation Index (NDVI) measures how dense and green plant leaves are. NDVI images are useful as a measure of drought when compared to 'normal' plant health. Scientists calculate average NDVI values for an area to find out what is normal at a particular time of year. This animation uses satellite imagery to show changes in vegetation between 1999 and 2003. In 2002, drought had settled across the Midwest. Large dark brown sections of eastern Colorado show where vegetation was less lush and healthy than normal. This version of the visualization is a wide view showing the western United States. The data were measured by the vegetation instrument on Europe's SPOT-4 satellite, and were provided by DigitalGlobe/SPOT under agreement with the U.S. Department of Agriculture Foreign Agricultural Service (USDA/FAS). || ", "hits": 17 }, { "id": 20021, "url": "https://svs.gsfc.nasa.gov/20021/", "result_type": "Animation", "release_date": "2003-12-12T12:00:00-05:00", "title": "Ice Albedo - Global View", "description": "This is a conceptual animation showing how polar ice reflects light from the sun. As this ice begins to melt, less sunlight gets reflected into space. It is instead absorbed into the oceans and land, raising the overall temperature, and fueling further melting. || ", "hits": 151 }, { "id": 2751, "url": "https://svs.gsfc.nasa.gov/2751/", "result_type": "Visualization", "release_date": "2003-06-23T12:00:00-04:00", "title": "AMSR-E SST Global Flat Map: Sea Surface Temperature Data Used to Forecast 2003 Hurricane Season", "description": "Researchers and forecasters often study sea surface temperatures for an indication of hurricane potential. Scientists say above normal Atlantic Ocean temperatures is one reason for the 'above normal' hurricane forecast. Hurricanes convert heat from the tropical atmosphere and oceans to wind and waves, just as a car engine converts gasoline into motion. These animations show a year in the life of global ocean temperatures, June 2, 2002 to May 11, 2003. Green indicates the coolest water, yellow the warmest. The Advanced Microwave Scanning Radiometer (AMSR-E) on the Aqua satellite saw through the clouds to provide sea surface temperatures. || ", "hits": 19 }, { "id": 2752, "url": "https://svs.gsfc.nasa.gov/2752/", "result_type": "Visualization", "release_date": "2003-06-23T12:00:00-04:00", "title": "AMSR-E Sea Surface Temperature in the Atlantic Used to Forecast 2003 Hurricane Season", "description": "Researchers and forecasters often study sea surface temperatures for an indication of hurricane potential. Scientists say above normal Atlantic Ocean temperatures is one reason for the 'above normal' hurricane forecast. Hurricanes convert heat from the tropical atmosphere and oceans to wind and waves, just as a car engine converts gasoline into motion. These animations show a year in the life of global ocean temperatures, June 2, 2002 to May 11, 2003. Green indicates the coolest water, yellow the warmest. The Advanced Microwave Scanning Radiometer (AMSR-E) on the Aqua satellite saw through the clouds to provide sea surface temperatures. || ", "hits": 7 }, { "id": 2753, "url": "https://svs.gsfc.nasa.gov/2753/", "result_type": "Visualization", "release_date": "2003-06-23T12:00:00-04:00", "title": "AMSR_E Pacific Sea Surface Temperature Data Used to Forecast 2003 Hurricane Season", "description": "Researchers and forecasters often study sea surface temperatures for an activity predictions for 2003 in part to changing conditions in the Pacific Ocean, such as the demise of El Niño. This sequence traces the evolution of the warmer-than-normal waters associated with the weak El Niño that developed in the late fall of 2002. By January, the warm conditions began to dissipate. Fewer than normal hurricanes generally form when El Niño is present. Researchers say the Pacific may transition to the colder-than-normal La Niña phase. Areas in red represent warmer than normal and areas in blue represent cooler than normal. || ", "hits": 8 }, { "id": 2754, "url": "https://svs.gsfc.nasa.gov/2754/", "result_type": "Visualization", "release_date": "2003-06-23T12:00:00-04:00", "title": "AMSR-E Atlantic Sea Surface Temperature Data Used to Forecast 2003 Hurricane Season", "description": "Researchers and forecasters often study sea surface temperatures for an indication of hurricane potential. Scientists say above normal Atlantic Ocean temperatures is one reason for the 'above normal' hurricane forecast. Hurricanes convert heat from the tropical atmosphere and oceans to wind and waves, just as a car engine converts gasoline into motion. These animations show a year in the life of global ocean temperatures, June 2, 2002 to May 11, 2003. Green indicates the coolest water, yellow the warmest. The Advanced Microwave Scanning Radiometer (AMSR-E) on the Aqua satellite saw through the clouds to provide sea surface temperatures. || ", "hits": 13 }, { "id": 2755, "url": "https://svs.gsfc.nasa.gov/2755/", "result_type": "Visualization", "release_date": "2003-06-23T12:00:00-04:00", "title": "AMSR-E Pacific Sea Surface Temperature Data Used to Forecast 2003 Hurricane Season", "description": "Researchers and forecasters often study sea surface temperatures for an activity predictions for 2003 in part to changing conditions in the Pacific Ocean, such as the demise of El Niño. This sequence traces the evolution of the warmer-than-normal waters associated with the weak El Niño that developed in the late fall of 2002. By January, the warm conditions began to dissipate. Fewer than normal hurricanes generally form when El Niño is present. Researchers say the Pacific may transition to the colder-than-normal La Niña phase. Areas in red represent warmer than normal and areas in blue represent cooler than normal. || ", "hits": 5 }, { "id": 2743, "url": "https://svs.gsfc.nasa.gov/2743/", "result_type": "Visualization", "release_date": "2003-05-23T12:00:00-04:00", "title": "ICESat First Light Release: A Closer View of the Coast", "description": "Elevation data from ICESat's GLAS instrument is quite detailed, as can be seen in this close-up view of a profile that passes near the Banzare Coast in Antarctica. (The green elevation profile in this animation is exaggerated vertically by a factor of 10x for aesthetic purposes.) || ", "hits": 10 }, { "id": 2739, "url": "https://svs.gsfc.nasa.gov/2739/", "result_type": "Visualization", "release_date": "2003-05-21T12:00:00-04:00", "title": "Asian Smoke Seen by SeaWiFS", "description": "Hundreds of forest fires continue to burn across the boreal forests of Russia, releasing thick clouds of smoke that are spreading as far south as South Korea and central China. || ", "hits": 13 }, { "id": 2715, "url": "https://svs.gsfc.nasa.gov/2715/", "result_type": "Visualization", "release_date": "2003-03-21T12:00:00-05:00", "title": "Kuwait Fires", "description": "Viewing the oil fires during the Gulf War in 1991. || A look back at the Kuwait fires from the Gulf War. || a002715.00005_print.png (720x480) [554.8 KB] || a002715_pre.jpg (320x238) [10.0 KB] || a002715.webmhd.webm (960x540) [949.6 KB] || a002715_640x480.mpg (640x480) [2.7 MB] || a002715.m2v (720x480) [4.3 MB] || a002715.dv (720x480) [30.3 MB] || a002715.mp4 (640x480) [1023.1 KB] || a002715.mpg (352x240) [820.0 KB] || ", "hits": 50 }, { "id": 2736, "url": "https://svs.gsfc.nasa.gov/2736/", "result_type": "Visualization", "release_date": "2003-03-21T12:00:00-05:00", "title": "Kuwait Fires with Dates", "description": "Viewing the oil fires during the Gulf War in 1991. || ", "hits": 71 }, { "id": 2679, "url": "https://svs.gsfc.nasa.gov/2679/", "result_type": "Visualization", "release_date": "2003-01-23T12:00:00-05:00", "title": "Fires and Smoke in Southeast Australia, January 23, 2003", "description": "Aqua's rapid fire gallery features today's image of the fires in Southeast Australia. A state of emergency is still in effect in Canberra, Australia with very hot, dry and windy conditions predicted over the next couple of days. A fire continues to burn in the McIntyre Hut area north-west of Canberra. Another fire, the Gudgenby fire, continues to burn to Canberra's south. There is a total fire ban in force in the region for the next six days. || ", "hits": 8 }, { "id": 2473, "url": "https://svs.gsfc.nasa.gov/2473/", "result_type": "Visualization", "release_date": "2002-12-31T12:00:00-05:00", "title": "Perennial Ice Cover: The Data (1978-2001)", "description": "A view of the arctic perennial ice cover from 1978 to 2001. The rate of decline averages 9 percent per decade. || Movie of observed changes in perennial ice coverage. || a002473.00100_print.png (720x480) [565.8 KB] || per_ice_observed_pre.jpg (320x240) [13.7 KB] || a002473.webmhd.webm (960x540) [4.2 MB] || per_ice_observed.mpg (640x480) [6.1 MB] || a002473.dv (720x480) [60.4 MB] || ", "hits": 7 }, { "id": 2474, "url": "https://svs.gsfc.nasa.gov/2474/", "result_type": "Visualization", "release_date": "2002-12-31T12:00:00-05:00", "title": "Perennial Ice Cover: The Projection (2002-2075)", "description": "Projection of the decline in perennial ice cover assuming a loss rate of 9 percent per decade. || Projected changes in perennial ice coverage to 2075. || a002474.00005_print.png (720x480) [597.1 KB] || per_ice_projected_pre.jpg (320x240) [14.7 KB] || a002474.webmhd.webm (960x540) [3.2 MB] || per_ice_projected.mpg (640x480) [3.9 MB] || a002474.dv (720x480) [46.6 MB] || ", "hits": 13 }, { "id": 2475, "url": "https://svs.gsfc.nasa.gov/2475/", "result_type": "Visualization", "release_date": "2002-12-31T12:00:00-05:00", "title": "Perennial Ice Cover: Data (1978-2001) and Projection", "description": "A view of the arctic perennial ice cover from 1978 to 2001. The rate of decline averages 9 percent per decade. After 2001, it displays the projected decline in perennial ice cover assuming a loss rate of 9 percent per decade. || Movie of data and projected to 2075. || a002475.00100_print.png (720x480) [565.0 KB] || per_ice_total_pre.jpg (320x240) [13.7 KB] || a002475.webmhd.webm (960x540) [6.1 MB] || per_ice_total.mpg (640x480) [9.9 MB] || a002475.dv (720x480) [84.8 MB] || ", "hits": 24 }, { "id": 2653, "url": "https://svs.gsfc.nasa.gov/2653/", "result_type": "Visualization", "release_date": "2002-12-06T12:00:00-05:00", "title": "Great Lakes Snow Effect 2002", "description": "Evaporation from the Great Lakes develops into clouds moving East, dropping snow as they go. || Pull-out from the Great Lakes. You can clearly see the clouds developing over the lakes and moving over the surrounding area. || a002653.00005_print.png (720x480) [621.4 KB] || a002653_pre.jpg (320x240) [17.7 KB] || a002653.webmhd.webm (960x540) [1.8 MB] || a002653.dv (720x480) [27.0 MB] || a002653.mpg (320x240) [854.6 KB] || ", "hits": 13 }, { "id": 2641, "url": "https://svs.gsfc.nasa.gov/2641/", "result_type": "Visualization", "release_date": "2002-11-15T12:00:00-05:00", "title": "The SC2002 Conference Opening Video", "description": "This video introduced the latest in high-performance computing and communications and the best of host city Baltimore to keynote address attendees at the SuperComputing 2002 (SC2002) conference on Tuesday, November 19, 2002. || a002641.00010_print.png (720x480) [597.0 KB] || a002641_pre.jpg (320x262) [15.2 KB] || SVS2002-0034_The_SC2002_Conference_Opening_Video.webmhd.webm (960x540) [106.4 MB] || SVS2002-0034_The_SC2002_Conference_Opening_Video.mov (720x480) [1.6 GB] || a002641.dv (720x480) [1.4 GB] || a002641.mp4 (640x480) [82.9 MB] || a002641.mpg (320x240) [72.2 MB] || ", "hits": 7 }, { "id": 2643, "url": "https://svs.gsfc.nasa.gov/2643/", "result_type": "Visualization", "release_date": "2002-10-29T12:00:00-05:00", "title": "Mt. Etna Erupts and Terra/MODIS Captures It", "description": "MODIS captures Mt. Etna's Plume and Smoke Trail || A animation that shows Mt. Etna and its plume and smoke trail || a002643.00005_print.png (720x480) [646.6 KB] || a002643_pre.jpg (320x240) [15.7 KB] || a002643.webmhd.webm (960x540) [3.3 MB] || a002643.dv (720x480) [41.0 MB] || a002643.mpg (320x240) [571.4 KB] || ", "hits": 18 }, { "id": 2493, "url": "https://svs.gsfc.nasa.gov/2493/", "result_type": "Visualization", "release_date": "2002-07-15T12:00:00-04:00", "title": "Drought over Western United States (Stills)", "description": "The product that generated these images is the Normalized Difference Vegetation Index (NDVI), which measures the health of plant life based on their levels of photosynthesis. The NDVI was developed by Compton Tucker, a senior scientist at NASA/Goddard. || NDVI measurments for Arizona during May, 2002. || az_whole.0001.jpg (2560x1920) [804.6 KB] || az_whole.0001_web.jpg (320x240) [16.3 KB] || az_whole.0001.tif (2560x1920) [5.8 MB] || ", "hits": 6 }, { "id": 2489, "url": "https://svs.gsfc.nasa.gov/2489/", "result_type": "Visualization", "release_date": "2002-07-03T12:00:00-04:00", "title": "NDVI for the United States as of May, 2002", "description": "New satellite-derived images of vegetation confirm extremely dry conditions exist that are ripe for fires in the western United States, according to a data collaboration between NASA and the USDA Foreign Agricultural Service. || ", "hits": 30 }, { "id": 2477, "url": "https://svs.gsfc.nasa.gov/2477/", "result_type": "Visualization", "release_date": "2002-07-01T12:00:00-04:00", "title": "True Color MODIS Albedo Image Improves Climate Modeling", "description": "The MODIS instrument, flying aboard NASA's Terra and Aqua satellites, measures how much solar radiation is reflected by the Earth's surface almost every day over the entire planet. Zooming in on Africa's Sahara Desert and the Arabian Peninsula, MODIS observed considerable variability in reflectance across the region-from the darkest volcanic terrains to the brightest sand. This matches specific soil groups and rock types to MODIS-derived albedo measurements. This correlation is important because most current weather forecast models treat this region as if the surface is uniform and therefore reflects the same amount of light all across its wide expanse. However, the terrain across the Sahara Desert and Arabian Peninsula is actually quite varied. Darker surface features (like rocks and plant canopies) absorb more light than lighter surfaces (like sand) and therefore get hotter in the afternoon. Over the course of a day, these heating differences can set up atmospheric motions that influence global clouds and rain. || ", "hits": 44 }, { "id": 2478, "url": "https://svs.gsfc.nasa.gov/2478/", "result_type": "Visualization", "release_date": "2002-07-01T12:00:00-04:00", "title": "MODIS White Sky Albedo Image Improves Climate Modeling", "description": "The MODIS instrument, flying aboard NASA's Terra and Aqua satellites, measures how much solar radiation is reflected by the Earth's surface almost every day over the entire planet. The colors in this image emphasize the albedos ranging from 0.0 to 0.4 over the Earth's land surfaces. Areas colored red show the brightest, most reflective regions; yellows and greens are intermediate values; and blues and violets show relatively dark surfaces. White indicates no data were available, and no albedo data are provided over the oceans. This image was produced using data composited over a 6-day period, from April 7-22, 2002. || ", "hits": 32 }, { "id": 2480, "url": "https://svs.gsfc.nasa.gov/2480/", "result_type": "Visualization", "release_date": "2002-07-01T12:00:00-04:00", "title": "MODIS White Sky Albedo Unwraps to False Color Albedo Flat Map", "description": "The MODIS instrument, flying aboard NASA's Terra and Aqua satellites, measures albedo. Albedo measures the proportion of incoming solar radiation reaching a surface that is reflected back to the atmosphere and to space. For an unchanging surface, albedo can vary somewhat, depending on the sky and atmospheric conditions. This image maps the white-sky albedo, which is the albedo under conditions of a uniform, dense cloud cover, in which downwelling light energy comes uniformly from all directions. The color bar indicates the albedo value ranging from 0.0 to 0.4 over the Earth's land surfaces. Areas colored red show the brightest, most reflective regions; yellows and greens are intermediate values; and blues and violets show relatively dark surfaces. White indicates no data is available. Typically, vegetated surfaces and water have low albedos, while soil and urban surfaces have somewhat higher values. Note that solar energy that is not reflected away from a surface is absorbed by that surface. Thus, albedo also provides information about the amount of energy absorbed by a surface. Since this energy serves to heat the soil and the air just above the surface, albedo is an important factor in weather and climate studies, and especially is important for modeling of weather and climate on scales of days to years.This image was produced using data composited over a 16-day period, from April 7-22, 2002. || ", "hits": 25 }, { "id": 2100, "url": "https://svs.gsfc.nasa.gov/2100/", "result_type": "Visualization", "release_date": "2001-04-09T12:00:00-04:00", "title": "Light Iceland Glacier Recession 1973 to 2000", "description": "This animation shows glacier recesion at the Breidamerkurjokull glacier in Iceland. The data from 1973 is taken from Landsat 1 and the 2000 data is from Landsat 7. The Breidamerkurjokull glacier in Iceland has been measured by Landsat to be receding since 1973. The glacierologists in Iceland and here at NASA's Goddard Space Flight Center have measured the recession throughout the entire glacier and found different rates of recession in different areas. In general, the glacier seems to be receding at about 2% annually.It is extremely controversial whether or not this recession is caused by global warming. || ", "hits": 7 }, { "id": 2101, "url": "https://svs.gsfc.nasa.gov/2101/", "result_type": "Visualization", "release_date": "2001-04-09T12:00:00-04:00", "title": "Iceland Glacier Recession 1973 to 2000, Glacier Terminus Contrast Emphasized", "description": "This animation shows glacier recesion at the Breidamerkurjokull glacier in Iceland. The data from 1973 is taken from Landsat 1 and the 2000 data is from Landsat 7. The Breidamerkurjokull glacier in Iceland has been measured by Landsat to be receding since 1973. The glacierologists in Iceland and here at NASA's Goddard Space Flight Center have measured the recession throughout the entire glacier and found different rates of recession in different areas. In general, the glacier seems to be receding at about 2% annually.It is extremely controversial whether or not this recession is caused by global warming. || ", "hits": 66 }, { "id": 2102, "url": "https://svs.gsfc.nasa.gov/2102/", "result_type": "Visualization", "release_date": "2001-04-09T12:00:00-04:00", "title": "Iceland Glacier Recession 1997 to 2000", "description": "This animation is a close up zoom into largest area of glacier recesion at the Breidamerkurjokull glacier in Iceland. The data from 1997 is taken from Landsat 5 and the 2000 data is from Landsat 7. The Breidamerkurjokull glacier in Iceland has been measured by Landsat to be receding since 1973. In 1997, Landsat 5 took several other images of the glacier. It was thought by some glacierologists that this particular glacier was receding quicker in the late 1990s than it did in the late 1980s or 1970s. After careful analysis Goddard's Glacierologist, Dorothy Hall, concluded that the recession from 1997 to 2000 occurs at a similar rate to the recession between 1973 and 2000. It is extremely controversial whether or not this recession is caused by global warming. || ", "hits": 14 }, { "id": 1180, "url": "https://svs.gsfc.nasa.gov/1180/", "result_type": "Visualization", "release_date": "2000-08-23T12:00:00-04:00", "title": "Seasonal NDVI for North America: 1981-2000 Averaged, With Month Notation", "description": "Seasonal NDVI for North America. 1981-2000 averaged with month notation. 15 frames/month || Seasonal NDVI movie for North America. || a001180.00005_print.png (720x480) [493.7 KB] || a001180_pre.jpg (320x242) [10.4 KB] || a001180_thm.png (80x40) [5.4 KB] || a001180_pre_searchweb.jpg (320x180) [63.8 KB] || a001180.webmhd.webm (960x540) [1.4 MB] || a001180.dv (720x480) [41.0 MB] || a001180.mp4 (640x480) [2.0 MB] || a001180.mpg (352x240) [1.4 MB] || ", "hits": 9 }, { "id": 1181, "url": "https://svs.gsfc.nasa.gov/1181/", "result_type": "Visualization", "release_date": "2000-08-23T12:00:00-04:00", "title": "Seasonal NDVI for North America: 1981-2000 Averaged, Without Month Notation", "description": "Seasonal NDVI for North America. 1981-2000 averaged without month notation. 15 frames/month || Movie of seasonal NDVI for North America || a001181.00005_print.png (720x480) [489.1 KB] || a001181_pre.jpg (320x242) [10.2 KB] || a001181_thm.png (80x40) [5.4 KB] || a001181_pre_searchweb.jpg (320x180) [63.8 KB] || a001181.webmhd.webm (960x540) [1.3 MB] || a001181.dv (720x480) [41.0 MB] || a001181.mp4 (640x480) [2.0 MB] || a001181.mpg (352x240) [1.4 MB] || ", "hits": 4 }, { "id": 1182, "url": "https://svs.gsfc.nasa.gov/1182/", "result_type": "Visualization", "release_date": "2000-08-23T12:00:00-04:00", "title": "Monthly NDVI for North America: July 1981-July 2000", "description": "Monthly NDVI for North America. July 1981-July 2000. 5 frames/month || Monthly NDVI for North America || a001182.00005_print.png (720x480) [529.0 KB] || a001182_pre.jpg (320x242) [10.5 KB] || a001182_thm.png (80x40) [5.4 KB] || a001182_pre_searchweb.jpg (320x180) [68.4 KB] || a001182.webmhd.webm (960x540) [11.6 MB] || a001182.dv (720x480) [151.4 MB] || a001182.mp4 (640x480) [7.8 MB] || a001182.mpg (352x240) [5.9 MB] || ", "hits": 5 }, { "id": 1183, "url": "https://svs.gsfc.nasa.gov/1183/", "result_type": "Visualization", "release_date": "2000-08-23T12:00:00-04:00", "title": "Monthly NDVI Anomaly for North America: July 1981-July 2000", "description": "Monthly NDVI Anomaly for North America. July 1981-July 2000. 5 frames/month || Montly NDVI anomaly at 5 frames-month || a001183.00005_print.png (720x480) [559.0 KB] || a001183_pre.jpg (320x242) [12.9 KB] || a001183.webmhd.webm (960x540) [12.1 MB] || a001183.dv (720x480) [151.4 MB] || a001183.mp4 (640x480) [7.5 MB] || a001183.mpg (352x240) [5.8 MB] || ", "hits": 5 }, { "id": 1184, "url": "https://svs.gsfc.nasa.gov/1184/", "result_type": "Visualization", "release_date": "2000-08-23T12:00:00-04:00", "title": "Seasonal NDVI for Africa: 1981-2000 Averaged, With Month Notation", "description": "Seasonal NDVI for Africa. 1981-2000 averaged with month notation. 15 frames/month || Seasonal NDVI for Africa. || a001184.00005_print.png (720x480) [400.4 KB] || a001184_pre.jpg (320x242) [6.6 KB] || a001184_thm.png (80x40) [4.2 KB] || a001184_pre_searchweb.jpg (320x180) [40.5 KB] || a001184.webmhd.webm (960x540) [676.3 KB] || a001184.dv (720x480) [41.0 MB] || a001184.mp4 (640x480) [2.1 MB] || a001184.mpg (352x240) [1.4 MB] || ", "hits": 14 }, { "id": 1185, "url": "https://svs.gsfc.nasa.gov/1185/", "result_type": "Visualization", "release_date": "2000-08-23T12:00:00-04:00", "title": "Seasonal NDVI for Africa: 1981-2000 Averaged Without Month Notation", "description": "Seasonal NDVI for Africa. 1981-2000 averaged without month notation. 15 frames/month || Seasonally averaged NDVI for Africa || a001185.00005_print.png (720x480) [401.6 KB] || a001185_pre.jpg (320x242) [6.5 KB] || a001185_thm.png (80x40) [4.3 KB] || a001185_pre_searchweb.jpg (320x180) [40.5 KB] || a001185.webmhd.webm (960x540) [653.1 KB] || a001185.dv (720x480) [41.0 MB] || a001185.mp4 (640x480) [2.1 MB] || a001185.mpg (352x240) [1.4 MB] || ", "hits": 10 }, { "id": 1186, "url": "https://svs.gsfc.nasa.gov/1186/", "result_type": "Visualization", "release_date": "2000-08-23T12:00:00-04:00", "title": "Monthly NDVI for Africa: July 1981-July 2000", "description": "Monthly NDVI for Africa. July 1981-July 2000. 5 frames/month || Monthly NDVI for Africa over 20 years. || a001186.00005_print.png (720x480) [411.0 KB] || a001186_pre.jpg (320x242) [6.7 KB] || a001186_thm.png (80x40) [4.4 KB] || a001186_pre_searchweb.jpg (320x180) [43.0 KB] || a001186.webmhd.webm (960x540) [6.2 MB] || a001186.dv (720x480) [153.0 MB] || a001186.mp4 (640x480) [7.9 MB] || a001186.mpg (352x240) [5.9 MB] || ", "hits": 12 }, { "id": 1187, "url": "https://svs.gsfc.nasa.gov/1187/", "result_type": "Visualization", "release_date": "2000-08-23T12:00:00-04:00", "title": "Monthly NDVI Anomaly for Africa: July 1981-July 2000", "description": "Monthly NDVI Anomaly for Africa. July 1981-July 2000. 5 frames/month || Montly averaged NDVI anomalies in Africa for 20 years. || a001187.00005_print.png (720x480) [411.9 KB] || a001187_pre.jpg (320x242) [6.8 KB] || a001187_thm.png (80x40) [4.4 KB] || a001187_pre_searchweb.jpg (320x180) [45.3 KB] || a001187.webmhd.webm (960x540) [7.3 MB] || a001187.dv (720x480) [151.4 MB] || a001187.mp4 (640x480) [7.6 MB] || a001187.mpg (352x240) [5.8 MB] || ", "hits": 12 }, { "id": 1188, "url": "https://svs.gsfc.nasa.gov/1188/", "result_type": "Visualization", "release_date": "2000-08-23T12:00:00-04:00", "title": "North America NDVI Average August", "description": "Average NDVI in North America for August, based off data collected over the 1981-2000 time frame. || North America NDVI Average August || na_season0008.jpg (2560x1920) [494.1 KB] || na_season0008_web.jpg (320x240) [10.7 KB] || na_season0008_thm.png (80x40) [4.6 KB] || na_season0008_web_searchweb.jpg (320x180) [66.3 KB] || na_season0008.tif (2560x1920) [3.4 MB] || ", "hits": 6 }, { "id": 1189, "url": "https://svs.gsfc.nasa.gov/1189/", "result_type": "Visualization", "release_date": "2000-08-23T12:00:00-04:00", "title": "North America NDVI 1988 August", "description": "NDVI in North America for August 1988, based off data collected over the 1981-2000 time frame. || North America NDVI 1988 August || na_ndvi0086.jpg (2560x1920) [600.3 KB] || na_ndvi0086_web.jpg (320x240) [11.5 KB] || na_ndvi0086_thm.png (80x40) [4.7 KB] || na_ndvi0086_web_searchweb.jpg (320x180) [70.0 KB] || na_ndvi0086.tif (2560x1920) [4.0 MB] || For More Information || See [http://svs.gsfc.nasa.gov/stories/drought/index.html](http://svs.gsfc.nasa.gov/stories/drought/index.html) || ", "hits": 6 }, { "id": 1190, "url": "https://svs.gsfc.nasa.gov/1190/", "result_type": "Visualization", "release_date": "2000-08-23T12:00:00-04:00", "title": "North America NDVI 1988 August Anomaly", "description": "NDVI Anomaly in North America for August 1988, based off data collected over the 1981-2000 time frame. || North America NDVI 1988 August Anomaly || na_anomaly0086.jpg (2560x1920) [745.9 KB] || na_anomaly0086_web.jpg (320x240) [12.4 KB] || na_anomaly0086_thm.png (80x40) [4.7 KB] || na_anomaly0086_web_searchweb.jpg (320x180) [76.4 KB] || na_anomaly0086.tif (2560x1920) [5.0 MB] || ", "hits": 15 }, { "id": 1192, "url": "https://svs.gsfc.nasa.gov/1192/", "result_type": "Visualization", "release_date": "2000-08-23T12:00:00-04:00", "title": "North America NDVI 1993 August", "description": "NDVI in North America for August 1993, based off data collected over the 1981-2000 time frame. || North America NDVI 1993 August || na_ndvi0146.jpg (2560x1920) [587.0 KB] || na_ndvi0146_web.jpg (320x240) [11.1 KB] || na_ndvi0146_thm.png (80x40) [4.6 KB] || na_ndvi0146_web_searchweb.jpg (320x180) [72.3 KB] || na_ndvi0146.tif (2560x1920) [3.9 MB] || For More Information || See [http://svs.gsfc.nasa.gov/stories/drought/index.html](http://svs.gsfc.nasa.gov/stories/drought/index.html) || ", "hits": 3 }, { "id": 1193, "url": "https://svs.gsfc.nasa.gov/1193/", "result_type": "Visualization", "release_date": "2000-08-23T12:00:00-04:00", "title": "North America NDVI 1993 August Anomaly", "description": "NDVI anomaly in North America for August 1993, based off data collected over the 1981-2000 time frame. || North America NDVI 1993 August Anomaly. Green is more vegetation than average, brown is a deficit of vegetation with respect to the average. || na_anomaly0146.jpg (2560x1920) [748.0 KB] || na_anomaly0146_web.jpg (320x240) [12.7 KB] || na_anomaly0146_thm.png (80x40) [5.2 KB] || na_anomaly0146_web_searchweb.jpg (320x180) [78.6 KB] || na_anomaly0146.tif (2560x1920) [4.9 MB] || ", "hits": 11 }, { "id": 1194, "url": "https://svs.gsfc.nasa.gov/1194/", "result_type": "Visualization", "release_date": "2000-08-23T12:00:00-04:00", "title": "North America NDVI Average July", "description": "Average NDVI in North America for July, based off data collected over the 1981-2000 time frame. || North America NDVI Average for July || na_season0007.jpg (2560x1920) [486.5 KB] || na_season0007_web.jpg (320x240) [10.6 KB] || na_season0007_thm.png (80x40) [4.6 KB] || na_season0007_web_searchweb.jpg (320x180) [69.1 KB] || na_season0007.tif (2560x1920) [3.3 MB] || ", "hits": 6 }, { "id": 1195, "url": "https://svs.gsfc.nasa.gov/1195/", "result_type": "Visualization", "release_date": "2000-08-23T12:00:00-04:00", "title": "North America NDVI 2000 July", "description": "NDVI in North America for July 2000, based off data collected over the 1981-2000 time frame. || North America NDVI for July, 2000. || na_ndvi0229.jpg (2560x1920) [580.2 KB] || na_ndvi0229_web.jpg (320x240) [11.0 KB] || na_ndvi0229_thm.png (80x40) [4.6 KB] || na_ndvi0229_web_searchweb.jpg (320x180) [71.7 KB] || na_ndvi0229.tif (2560x1920) [3.8 MB] || For More Information || See [http://svs.gsfc.nasa.gov/stories/drought/index.html](http://svs.gsfc.nasa.gov/stories/drought/index.html) || ", "hits": 3 }, { "id": 1196, "url": "https://svs.gsfc.nasa.gov/1196/", "result_type": "Visualization", "release_date": "2000-08-23T12:00:00-04:00", "title": "North America NDVI 2000 July Anomaly", "description": "NDVI anomaly in North America for July 2000, based off data collected over the 1981-2000 time frame. || North America NDVI 2000 July Anomaly. Green is more vegetation than average, brown is a deficit of vegetation with respect to the average. || na_anomaly0229.jpg (2560x1920) [735.1 KB] || na_anomaly0229_web.jpg (320x240) [12.3 KB] || na_anomaly0229_thm.png (80x40) [4.7 KB] || na_anomaly0229_web_searchweb.jpg (320x180) [76.6 KB] || na_anomaly0229.tif (2560x1920) [5.0 MB] || ", "hits": 6 }, { "id": 1197, "url": "https://svs.gsfc.nasa.gov/1197/", "result_type": "Visualization", "release_date": "2000-08-23T12:00:00-04:00", "title": "Africa NDVI Average August", "description": "Average NDVI in Africa for the month of August, based off data collected over the 1981-2000 time frame. || Africa NDVI Average August || africa_season0008.jpg (2560x1920) [317.2 KB] || africa_season0008_web.jpg (320x240) [5.9 KB] || africa_season0008_thm.png (80x40) [3.0 KB] || africa_season0008_web_searchweb.jpg (320x180) [40.4 KB] || africa_season0008.tif (2560x1920) [2.1 MB] || ", "hits": 11 }, { "id": 1198, "url": "https://svs.gsfc.nasa.gov/1198/", "result_type": "Visualization", "release_date": "2000-08-23T12:00:00-04:00", "title": "Africa NDVI 1984 August", "description": "NDVI in Africa for August 1984, based off data collected over the 1981-2000 time frame. || Africa NDVI 1984 August || africa_ndvi0038.jpg (2560x1920) [355.2 KB] || africa_ndvi0038_web.jpg (320x240) [6.0 KB] || africa_ndvi0038_thm.png (80x40) [3.1 KB] || africa_ndvi0038_web_searchweb.jpg (320x180) [40.5 KB] || africa_ndvi0038.tif (2560x1920) [2.3 MB] || For More Information || See [http://svs.gsfc.nasa.gov/stories/drought/index.html](http://svs.gsfc.nasa.gov/stories/drought/index.html) || ", "hits": 7 }, { "id": 1199, "url": "https://svs.gsfc.nasa.gov/1199/", "result_type": "Visualization", "release_date": "2000-08-23T12:00:00-04:00", "title": "Africa NDVI 1984 August Anomaly", "description": "NDVI anomaly in Africa for August 1984, based off data collected over the 1981-2000 time frame. || Africa NDVI 1984 August Anomaly. Green is more vegetation than average, brown is a deficit of vegetation with respect to the average. || africa_anomaly0038.jpg (2560x1920) [436.4 KB] || africa_anomaly0038_web.jpg (320x240) [6.5 KB] || africa_anomaly0038_thm.png (80x40) [3.1 KB] || africa_anomaly0038_web_searchweb.jpg (320x180) [44.0 KB] || africa_anomaly0038.tif (2560x1920) [2.7 MB] || ", "hits": 7 }, { "id": 1200, "url": "https://svs.gsfc.nasa.gov/1200/", "result_type": "Visualization", "release_date": "2000-08-23T12:00:00-04:00", "title": "Africa NDVI Average March", "description": "Average NDVI in Africa for the month of March, based off data collected over the 1981-2000 time frame. || Africa NDVI Average March || africa_season0003.jpg (2560x1920) [307.9 KB] || africa_season0003_web.jpg (320x240) [5.6 KB] || africa_season0003_thm.png (80x40) [2.9 KB] || africa_season0003_web_searchweb.jpg (320x180) [38.0 KB] || africa_season0003.tif (2560x1920) [2.0 MB] || ", "hits": 4 }, { "id": 1201, "url": "https://svs.gsfc.nasa.gov/1201/", "result_type": "Visualization", "release_date": "2000-08-23T12:00:00-04:00", "title": "Africa NDVI 2000 March", "description": "NDVI in Africa for March 2000, based off data collected over the 1981-2000 time frame. || NDVI anomaly for Africa in March, 2000. || africa_ndvi0225.jpg (2560x1920) [352.9 KB] || africa_ndvi0225_web.jpg (320x240) [5.7 KB] || africa_ndvi0225_thm.png (80x40) [2.9 KB] || africa_ndvi0225_web_searchweb.jpg (320x180) [38.9 KB] || africa_ndvi0225.tif (2560x1920) [2.3 MB] || ", "hits": 5 }, { "id": 1202, "url": "https://svs.gsfc.nasa.gov/1202/", "result_type": "Visualization", "release_date": "2000-08-23T12:00:00-04:00", "title": "Africa NDVI 2000 March Anomaly", "description": "NDVI anomaly in Africa for March 2000, based off data collected over the 1981-2000 time frame. || Africa NDVI 2000 March Anomaly. Green is more vegetation than average, brown is a deficit of vegetation with respect to the average. || africa_anomaly0225.jpg (2560x1920) [450.6 KB] || africa_anomaly0225_web.jpg (320x240) [6.4 KB] || africa_anomaly0225_thm.png (80x40) [3.1 KB] || africa_anomaly0225_web_searchweb.jpg (320x180) [42.8 KB] || africa_anomaly0225.tif (2560x1920) [2.8 MB] || ", "hits": 5 }, { "id": 1253, "url": "https://svs.gsfc.nasa.gov/1253/", "result_type": "Visualization", "release_date": "2000-06-25T12:00:00-04:00", "title": "Greenland: Top-down View of Island Tour with Airplane Tracks", "description": "Top-down view of Greenland Island tour.This animation shows the ice concentration in Greenland. The ice has decreased significantly (~50 cm/year) along the coast and increased slightly in the center (+2 cm/year). Researchers view this as yet another serious warning sign of the threat of global warming. || ", "hits": 32 }, { "id": 1254, "url": "https://svs.gsfc.nasa.gov/1254/", "result_type": "Visualization", "release_date": "2000-06-25T12:00:00-04:00", "title": "Greenland full west coast", "description": "This animation shows the ice concentration in Greenland. The ice has decreased significantly (~50 cm/year) along the coast and increased slightly in the center (+2 cm/year). Researchers view this as yet another serious warning sign of the threat of global warming. || ", "hits": 13 }, { "id": 1255, "url": "https://svs.gsfc.nasa.gov/1255/", "result_type": "Visualization", "release_date": "2000-06-25T12:00:00-04:00", "title": "Greenland: Full West Coast", "description": "This animation shows the ice concentration in Greenland. The ice has decreased significantly (~50 cm/year) along the coast and increased slightly in the center (+2 cm/year). Researchers view this as yet another serious warning sign of the threat of global warming. || ", "hits": 12 }, { "id": 1256, "url": "https://svs.gsfc.nasa.gov/1256/", "result_type": "Visualization", "release_date": "2000-06-25T12:00:00-04:00", "title": "Greenland: Full West Coast (2nd render)", "description": "This animation shows the ice concentration in Greenland. The ice has decreased significantly (~50 cm/year) along the coast and increased slightly in the center (+2 cm/year). Researchers view this as yet another serious warning sign of the threat of global warming. || ", "hits": 14 }, { "id": 1257, "url": "https://svs.gsfc.nasa.gov/1257/", "result_type": "Visualization", "release_date": "2000-06-25T12:00:00-04:00", "title": "Greenland: Pan Southern Tip to East Coast", "description": "This animation shows the ice concentration in Greenland. The ice has decreased significantly (~50 cm/year) along the coast and increased slightly in the center (+2 cm/year). Researchers view this as yet another serious warning sign of the threat of global warming. || ", "hits": 6 }, { "id": 760, "url": "https://svs.gsfc.nasa.gov/760/", "result_type": "Visualization", "release_date": "1999-09-15T12:00:00-04:00", "title": "Maryland Drought: Zoom down to Liberty Reservoir Comparing July 1997 with July 1999 (with dates)", "description": "Zoom down to Liberty Reservoir comparing July, 1997 and July, 1999. This animation shows Landsat's view of Maryland's Liberty Reservoir from its normal levels in July of 1997 to its extreme low levels during the drought of 1999. || ", "hits": 36 }, { "id": 761, "url": "https://svs.gsfc.nasa.gov/761/", "result_type": "Visualization", "release_date": "1999-09-15T12:00:00-04:00", "title": "Maryland Drought: Zoom down to Liberty Reservoir comparing July 1997 and July 1999 (without dates)", "description": "Zoom down to Liberty Reservoir comparing July, 1997 and July, 1999. This animation shows Landsat's view of Maryland's Liberty Reservoir from its normal levels in July of 1997 to its extreme low levels during the drought of 1999. || ", "hits": 41 }, { "id": 762, "url": "https://svs.gsfc.nasa.gov/762/", "result_type": "Visualization", "release_date": "1999-09-15T12:00:00-04:00", "title": "Maryland Drought: Side-by-side Comparison of Liberty Reservoir in 1997 and 1999 (Without Dates)", "description": "A side-by-side image of Marylands Liberty Reservoir comparing July, 1997 and July, 1999, from Landsat imagery || a000762_still.jpg (720x528) [172.1 KB] || a000762_pre.jpg (320x238) [13.9 KB] || a000762_thm.png (80x40) [6.6 KB] || a000762_pre_searchweb.jpg (320x180) [89.5 KB] || ", "hits": 42 }, { "id": 763, "url": "https://svs.gsfc.nasa.gov/763/", "result_type": "Visualization", "release_date": "1999-09-15T12:00:00-04:00", "title": "Maryland Drought: Side-by-side Comparison of Liberty Reservoir in 1997 and 1999 (With Dates)", "description": "This is a side-by-side image of Maryland's Liberty Reservoir. The image on the left is a Landsat image from July 1997. The image on the right is also a Landsat image, but it was taken in July of 1999 after two consecutive years of drought. || ", "hits": 42 }, { "id": 837, "url": "https://svs.gsfc.nasa.gov/837/", "result_type": "Visualization", "release_date": "1999-04-09T12:00:00-04:00", "title": "Ozone and Chlorine Monoxide over Antarctica from MLS (1/12/93 - 9/17/93)", "description": "The Microwave Limb Sounder (MLS) measures microwave emission from ozone and chlorine monoxide, a major ozone destroying radical. Right after UARS was launched, MLS began to measure large concentrations of chlorine monoxide over the south pole. These dramatic images clearly showed the extent of the south polar ozone destruction and confirmed the connection between man-made chlorine and the formation to the Antarctic ozone hole. Why is so much chlorine monoxide found over the Antarctic? UARS measurements have confirmed that CFCs enter the stratosphere in the tropics. As they rise above the ozone layer, ultraviolet molecules release chlorine, which then can react with methane to form hydrogen chloride. Chlorine can also react with ozone forming the radical chlorine monoxide. Chlorine monoxide then combines with the radical nitrogen dioxide to form stable chlorine nitrate. Chlorine nitrate and hydrogen chloride are called reservoir gases for the chlorine radical. These reservoir gases usually contain more than ninety percent of the chlorine in the lower stratosphere. || ", "hits": 123 }, { "id": 589, "url": "https://svs.gsfc.nasa.gov/589/", "result_type": "Visualization", "release_date": "1999-01-01T12:00:00-05:00", "title": "African Vegetation: Comparing July 1984 and July 1994", "description": "For many years, scientists have believed that the southern expansion of the Sahara has been due to human activity. However, results from the AVHRR instrument and its measurements of vegetation suggest a different explanation: rainfall patterns. In drier years (1984 was one of the driest summers in recorded history in Northern Africa), the Sahara expands south, but in wetter years (such as 1994), vegetation moves back and there is no net expansion of the Sahara as had been previously suggested. || ", "hits": 16 }, { "id": 590, "url": "https://svs.gsfc.nasa.gov/590/", "result_type": "Visualization", "release_date": "1999-01-01T12:00:00-05:00", "title": "African Vegetation: Comparing August 1984 and August 1994", "description": "For many years, scientists have believed that the southern expansion of the Sahara has been due to human activity. However, results from the AVHRR instrument and its measurements of vegetation suggest a different explanation: rainfall patterns. In drier years (1984 was one of the driest summers in recorded history in Northern Africa), the Sahara expands south, but in wetter years (such as 1994), vegetation moves back and there is no net expansion of the Sahara as had been previously suggested. || ", "hits": 13 }, { "id": 591, "url": "https://svs.gsfc.nasa.gov/591/", "result_type": "Visualization", "release_date": "1999-01-01T12:00:00-05:00", "title": "African Vegetation: Comparing September 1984 and September 1994", "description": "For many years, scientists have believed that the southern expansion of the Sahara has been due to human activity. However, results from the AVHRR instrument and its measurements of vegetation suggest a different explanation: rainfall patterns. In drier years (1984 was one of the driest summers in recorded history in Northern Africa), the Sahara expands south, but in wetter years (such as 1994), vegetation moves back and there is no net expansion of the Sahara as had been previously suggested. || ", "hits": 7 }, { "id": 391, "url": "https://svs.gsfc.nasa.gov/391/", "result_type": "Visualization", "release_date": "1998-11-01T12:00:00-05:00", "title": "Seasonal Global Surface Temperature Anomaly: January 1950 through October 1998 (Slow)", "description": "Global surface temperatures in 1998 set a new record for the period of instrumental measurements, report researchers at the NASA Goddard Institute for Space Studies who analyze data collected from several thousand meteorological stations around the world. This visualization shows surface temperature anomalies from 1950 through November, 1998. The 1998 warmth was associated partly with a strong El Niño that warmed the air over the eastern tropical Pacific Ocean in the first half of the year and in turn affected weather around the world. Red and yellow colors indicate warmer than normal conditions and blue colors indicates cooler than normal conditions. || ", "hits": 45 }, { "id": 392, "url": "https://svs.gsfc.nasa.gov/392/", "result_type": "Visualization", "release_date": "1998-11-01T12:00:00-05:00", "title": "Seasonal Global Surface Temperature Anomaly: January 1950 through October 1998 (Fast)", "description": "Global surface temperatures in 1998 set a new record for the period of instrumental measurements, report researchers at the NASA Goddard Institute for Space Studies who analyze data collected from several thousand meteorological stations around the world. This visualization shows surface temperature anomalies from 1950 through November, 1998. The 1998 warmth was associated partly with a strong El Niño that warmed the air over the eastern tropical Pacific Ocean in the first half of the year and in turn affected weather around the world. Red and yellow colors indicate warmer than normal conditions and blue colors indicates cooler than normal conditions. || ", "hits": 17 }, { "id": 393, "url": "https://svs.gsfc.nasa.gov/393/", "result_type": "Visualization", "release_date": "1998-11-01T12:00:00-05:00", "title": "Seasonal North America Surface Temperature Anomaly: January 1950 through October 1998 (Slow)", "description": "Global surface temperatures in 1998 set a new record for the period of instrumental measurements, report researchers at the NASA Goddard Institute for Space Studies who analyze data collected from several thousand meteorological stations around the world. This visualization shows surface temperature anomalies from 1950 through November, 1998. The 1998 warmth was associated partly with a strong El Niño that warmed the air over the eastern tropical Pacific Ocean in the first half of the year and in turn affected weather around the world. Red and yellow colors indicate warmer than normal conditions and blue colors indicates cooler than normal conditions. || ", "hits": 8 }, { "id": 394, "url": "https://svs.gsfc.nasa.gov/394/", "result_type": "Visualization", "release_date": "1998-11-01T12:00:00-05:00", "title": "Seasonal North America Surface Temperature Anomaly: January 1950 through October 1998 (Fast)", "description": "Global surface temperatures in 1998 set a new record for the period of instrumental measurements, report researchers at the NASA Goddard Institute for Space Studies who analyze data collected from several thousand meteorological stations around the world. This visualization shows surface temperature anomalies from 1950 through November, 1998. The 1998 warmth was associated partly with a strong El Niño that warmed the air over the eastern tropical Pacific Ocean in the first half of the year and in turn affected weather around the world. Red and yellow colors indicate warmer than normal conditions and blue colors indicates cooler than normal conditions. || ", "hits": 11 }, { "id": 395, "url": "https://svs.gsfc.nasa.gov/395/", "result_type": "Visualization", "release_date": "1998-11-01T12:00:00-05:00", "title": "Annual Global Surface Temperature Anomaly: 1950 through 1998", "description": "Global surface temperatures in 1998 set a new record for the period of instrumental measurements, report researchers at the NASA Goddard Institute for Space Studies who analyze data collected from several thousand meteorological stations around the world. This visualization shows surface temperature anomalies from 1950 through November, 1998. The 1998 warmth was associated partly with a strong El Niño that warmed the air over the eastern tropical Pacific Ocean in the first half of the year and in turn affected weather around the world. Red and yellow colors indicate warmer than normal conditions and blue colors indicates cooler than normal conditions. || ", "hits": 71 }, { "id": 396, "url": "https://svs.gsfc.nasa.gov/396/", "result_type": "Visualization", "release_date": "1998-11-01T12:00:00-05:00", "title": "Annual North America Surface Temperature Anomaly: 1950 through 1998", "description": "Global surface temperatures in 1998 set a new record for the period of instrumental measurements, report researchers at the NASA Goddard Institute for Space Studies who analyze data collected from several thousand meteorological stations around the world. This visualization shows surface temperature anomalies from 1950 through November, 1998. The 1998 warmth was associated partly with a strong El Niño that warmed the air over the eastern tropical Pacific Ocean in the first half of the year and in turn affected weather around the world. Red and yellow colors indicate warmer than normal conditions and blue colors indicates cooler than normal conditions. || ", "hits": 15 }, { "id": 328, "url": "https://svs.gsfc.nasa.gov/328/", "result_type": "Visualization", "release_date": "1998-10-20T12:00:00-04:00", "title": "Earth Today 1998 Countdown", "description": "The ability to see Earth from space has forever changed our view of the planet. We are now able to look at the Earth as a whole, and observe how its atmosphere, oceans, land masses, and life interact as global systems. Earth's atmosphere, hydrosphere, geosphere, and biosphere are dynamic, changing on timescales of days, minutes, or even seconds. Monitoring the Earth in near real time allows us to get an up to date picture of conditions on our planet. More SVS visualizations for the Earth Today exhibit are in animation ids 1401 and 1402. || ", "hits": 46 }, { "id": 1401, "url": "https://svs.gsfc.nasa.gov/1401/", "result_type": "Visualization", "release_date": "1998-10-20T12:00:00-04:00", "title": "Earth Today 1998 Introduction", "description": "The ability to see Earth from space has forever changed our view of the planet. We are now able to look at the Earth as a whole, and observe how its atmosphere, oceans, land masses, and life interact as global systems. Earth's atmosphere, hydrosphere, geosphere, and biosphere are dynamic, changing on timescales of days, minutes, or even seconds. Monitoring the Earth in near real time allows us to get an up to date picture of conditions on our planet. More SVS visualizations for the Earth Today exhibit can be found in animation ids 328 and 1402. || ", "hits": 43 }, { "id": 1402, "url": "https://svs.gsfc.nasa.gov/1402/", "result_type": "Visualization", "release_date": "1998-10-20T12:00:00-04:00", "title": "Earth Today 1998", "description": "The ability to see Earth from space has forever changed our view of the planet. We are now able to look at the Earth as a whole, and observe how its atmosphere, oceans, land masses, and life interact as global systems. Earth's atmosphere, hydrosphere, geosphere, and biosphere are dynamic, changing on timescales of days, minutes, or even seconds. Monitoring the Earth in near real time allows us to get an up to date picture of conditions on our planet. More SVS visualizations for the Earth Today exhibit can be found in animation ids 328 and 1401. || ", "hits": 57 }, { "id": 177, "url": "https://svs.gsfc.nasa.gov/177/", "result_type": "Visualization", "release_date": "1998-01-01T12:00:00-05:00", "title": "Global Precipitation Anomalies: 1900-1988", "description": "Global land precipitation has increased during the 20th century, especially at the mid and high latitudes, according to a paper published in the November 1997 issue of the Journal of Climate. The paper, written by scientists Drs. Inez Fung, Anthony Del Genio, and Aiguo Dai, is based on a recalibrated compilation and analysis of data from 1900-1988 and confirms previous speculation that land precipitation is increasing. The new research shows a global land trend of a 2.4 mm per decade increase in annual precipitation amounts. Multiplied by almost nine decades, this means that there is about 22 mm more rain falling now each year than there was at the turn of the century — rainfall as a global mean has risen by slightly more than two percent. || ", "hits": 89 }, { "id": 178, "url": "https://svs.gsfc.nasa.gov/178/", "result_type": "Visualization", "release_date": "1998-01-01T12:00:00-05:00", "title": "United States Precipitation Anomalies: 1900-1988", "description": "Global land precipitation has increased during the 20th century, especially at the mid and high latitudes, according to a paper published in the November 1997 issue of the Journal of Climate. The paper, written by scientists Drs. Inez Fung, Anthony Del Genio, and Aiguo Dai, is based on a recalibrated compilation and analysis of data from 1900-1988 and confirms previous speculation that land precipitation is increasing. The new research shows a global land trend of a 2.4 mm per decade increase in annual precipitation amounts. Multiplied by almost nine decades, this means that there is about 22 mm more rain falling now each year than there was at the turn of the century — rainfall as a global mean has risen by slightly more than two percent. || ", "hits": 51 }, { "id": 179, "url": "https://svs.gsfc.nasa.gov/179/", "result_type": "Visualization", "release_date": "1998-01-01T12:00:00-05:00", "title": "Precipitation Trends: 1900-1988", "description": "Global land precipitation has increased during the 20th century, especially at the mid and high latitudes, according to a paper published in the November 1997 issue of the Journal of Climate. The paper, written by scientists Drs. Inez Fung, Anthony Del Genio, and Aiguo Dai, is based on a recalibrated compilation and analysis of data from 1900-1988 and confirms previous speculation that land precipitation is increasing. The new research shows a global land trend of a 2.4 mm per decade increase in annual precipitation amounts. Multiplied by almost nine decades, this means that there is about 22 mm more rain falling now each year than there was at the turn of the century — rainfall as a global mean has risen by slightly more than two percent. || ", "hits": 60 }, { "id": 1282, "url": "https://svs.gsfc.nasa.gov/1282/", "result_type": "Visualization", "release_date": "1996-08-10T12:00:00-04:00", "title": "HoloGlobe: Sea Surface Temperature Climatology on a Globe", "description": "This is one of a series of animations that were produced to be part of the narrated video shown in the HoloGlobe exhibit at the Smithsonian Museum of Natural History and the Earth Today exhibit at the Smithsonian Air and Space Museum. In this animation, colors represent sea surface temperatures in degrees centigrade, with blue representing temperatures less than 4 degrees, cyan representing temperatures between 4 and 11 degrees, green representing temperatures between 11 and 18 degrees, yellow representing temperatures between 18 and 25 degrees, orange representing temperatures between 25 and 32 degrees, and deep red representing temperatures greater than 32 degrees. || ", "hits": 14 }, { "id": 1283, "url": "https://svs.gsfc.nasa.gov/1283/", "result_type": "Visualization", "release_date": "1996-08-10T12:00:00-04:00", "title": "HoloGlobe: Sea Surface Temperature Climatology on a Globe (with Dates)", "description": "This is one of a series of animations that were produced to be part of the narrated video shown in the HoloGlobe exhibit at the Smithsonian Museum of Natural History and the Earth Today exhibit at the Smithsonian Air and Space Museum. In this animation, colors represent sea surface temperatures in degrees centigrade, with blue representing temperatures less than 4 degrees, cyan representing temperatures between 4 and 11 degrees, green representing temperatures between 11 and 18 degrees, yellow representing temperatures between 18 and 25 degrees, orange representing temperatures between 25 and 32 degrees, and deep red representing temperatures greater than 32 degrees. || ", "hits": 10 }, { "id": 97, "url": "https://svs.gsfc.nasa.gov/97/", "result_type": "Visualization", "release_date": "1996-02-08T12:00:00-05:00", "title": "Images of Earth and Space: The Role of Visualization in NASA Science", "description": "This compilation video contains visualizations of Earth and Space Sciences resulting from supercomputer models. The excerpted visualizations include: Ocean Planet, El Niño, Ozone 1991, Clouds, Changes in Glacier Bay, Alaska, Biosphere, Lunar Topography from the Clementine Mission, Musculoskeletal Modeling Dynamic Simulations, Simulations of the Breakup and Dynamical Evolution of Comet Shoemaker-Levy 9, Convective Penetration in Stellar Interiors, Topological Features of a Compressible Plasma Vortex Sheet: A Model for the Outer Heliospheric Solar Wind, R-Aquarii Jet, The Evolution of Distorted Black Holes, Rayleigh-Taylor Instability in a Supernova, Galaxy Harassment, N-Body Simulation of the Cold Dark Matter Cosmology. || ", "hits": 101 }, { "id": 119, "url": "https://svs.gsfc.nasa.gov/119/", "result_type": "Visualization", "release_date": "1996-01-01T12:00:00-05:00", "title": "VIS-5D VR Animations: Climate Change", "description": "The VIS-5D scientific visualization system has been extended to include an interactive mode controlled by virtual environment devices. This animation is part of a series of live screen captures demonstrating this capability. || ", "hits": 65 } ] }