{ "count": 73, "next": null, "previous": null, "results": [ { "id": 5361, "url": "https://svs.gsfc.nasa.gov/5361/", "result_type": "Visualization", "release_date": "2024-08-21T00:00:00-04:00", "title": "GPM 10th Anniversary Tour", "description": "Global tour of Earth - stopping off at 10 different spots to highlight significant precipitation events that GPM has covered over the past 10 years. These events include the 2014 Indian Monsoons, Hurricane Kilo in 2015, Hurricane Matthew in 2016, Hurricane Harvey in 2017, the Snow Bomb Cyclone in 2018, Hurricane Dorian in 2019, Hurricane Laura in 2020, El Nino/La Nina in 2021, Australian floods in 2022, Cyclone Freddy in 2023, and the IMERG monthly climatology data product produced in 2024. || TenthAnniv_v34_2024-06-21_1415.01000_print.jpg (1024x576) [215.8 KB] || TenthAnniv_v34_2024-06-21_1415.01000_searchweb.png (320x180) [100.6 KB] || TenthAnniv_v34_2024-06-21_1415.01000_thm.png (80x40) [7.3 KB] || TenthAnniv_v34_2024-06-21_1415_1080p30.mp4 (1920x1080) [76.6 MB] || 1920x1080_16x9_30p [0 Item(s)] || TenthAnniv_v34_2024-06-21_1415_1080p30.webm (1920x1080) [13.2 MB] || TenthAnniv_v34_2024-06-21_1415_1080p30.hwshow [533 bytes] || ", "hits": 42 }, { "id": 14646, "url": "https://svs.gsfc.nasa.gov/14646/", "result_type": "Produced Video", "release_date": "2024-08-12T00:00:00-04:00", "title": "Changes in the Atmosphere and Ocean During a Transition From La Niña to El Niño, Explained", "description": "Complete transcript available. || ENSO_Thumbnail_print.png (1920x1080) [680.2 KB] || ENSO_Thumbnail.jpg (3840x2160) [791.2 KB] || ENSO_Thumbnail_searchweb.png (320x180) [32.9 KB] || ENSO_Thumbnail_web.png (320x180) [32.9 KB] || ENSO_Thumbnail_thm.png (80x40) [3.3 KB] || ENSO_Locked_Final.webm (3840x2160) [229.2 MB] || ENSO_Locked_Final.mp4 (3840x2160) [3.7 GB] || ", "hits": 240 }, { "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": 66 }, { "id": 31278, "url": "https://svs.gsfc.nasa.gov/31278/", "result_type": "Hyperwall Visual", "release_date": "2024-04-24T00:00:00-04:00", "title": "El Niño Forecast to Contribute to Food Insecurity", "description": "This is a hyperwall-ready version of the image published at: https://earthobservatory.nasa.gov/images/152005 || ", "hits": 25 }, { "id": 31232, "url": "https://svs.gsfc.nasa.gov/31232/", "result_type": "Hyperwall Visual", "release_date": "2024-02-26T00:00:00-05:00", "title": "Sea Surface Height Anomaly, 2022-2024", "description": "Animation of Sea Surface Height Anomaly in the Pacific starting January 1, 2022. || nrt_global_allsat_phy_l4_20240207_print.jpg (1024x576) [184.6 KB] || nrt_global_allsat_phy_l4_20240207_searchweb.png (320x180) [63.1 KB] || nrt_global_allsat_phy_l4_20240207_thm.png (80x40) [13.1 KB] || nrt_global_allsat_phy_l4_20220101-20240207_1080p30.mp4 (1920x1080) [35.8 MB] || nrt_global_allsat_phy_l4_20220101-20240207_1080p30.webm (1920x1080) [3.1 MB] || nrt_global_allsat_phy_l4 (3840x2160) [0 Item(s)] || nrt_global_allsat_phy_l4_20220101-20240207_2160p30.mp4 (3840x2160) [91.4 MB] || nrt_global_allsat_phy_l4_20240207.tif (3840x2160) [4.2 MB] || nrt_global_allsat_phy_l4_2022-2024.hwshow [133 bytes] || ", "hits": 193 }, { "id": 31247, "url": "https://svs.gsfc.nasa.gov/31247/", "result_type": "Hyperwall Visual", "release_date": "2023-09-27T00:00:00-04:00", "title": "SWOT Monitors Warming Waters Off California Coast \nFull Resolution", "description": "This data visualization image above shows sea surface heights off the northern California coast in August 2023 as measured by the Surface Water and Ocean Topography (SWOT) satellite. || SWOT_2023-08_ca_coast_PIA26091_print.jpg (1024x576) [81.4 KB] || SWOT_2023-08_ca_coast_PIA26091.png (3840x2160) [2.2 MB] || SWOT_2023-08_ca_coast_PIA26091_searchweb.png (320x180) [29.9 KB] || SWOT_2023-08_ca_coast_PIA26091_thm.png (80x40) [3.4 KB] || SWOT_2023-08_ca_coast_PIA26091.hwshow || ", "hits": 29 }, { "id": 30847, "url": "https://svs.gsfc.nasa.gov/30847/", "result_type": "Hyperwall Visual", "release_date": "2023-06-23T01:00:00-04:00", "title": "The Oceanic Niño Index", "description": "Animated plot of the Oceanic Niño Index (ONI) from 1950-2023, with significant El Niño events labeled. || ONI_1950-2023_202304_print.jpg (1024x576) [81.1 KB] || ONI_1950-2023_202304_searchweb.png (320x180) [32.0 KB] || ONI_1950-2023_202304_thm.png (80x40) [10.1 KB] || ONI_1950-2023_1080p.mp4 (1920x1080) [2.4 MB] || ONI_1950-2023_1080p.webm (1920x1080) [3.4 MB] || ONI_1950-2023_2160p.mp4 (3840x2160) [6.1 MB] || ONI_1950-2023_202304.tif (3840x2160) [719.7 KB] || ONI_1950-2023 (3840x2160) [0 Item(s)] || ", "hits": 1054 }, { "id": 13762, "url": "https://svs.gsfc.nasa.gov/13762/", "result_type": "Produced Video", "release_date": "2020-11-05T11:00:00-05:00", "title": "Rising Waters on the West Coast", "description": "In the northeastern Pacific off the U.S. West Coast, sea level rise was 4 to 5 millimeters a year lower than the global average during the 1990s and 2000s. Then around 2010, sea level began steadily increasing along the West Coast. The largest increase, in 2014-16, coincided with a large El Niño event in 2015-16. While the rate has stabilized since then, it remains higher than the global average.Changing conditions in the Pacific have stirred up Earth’s largest ocean and redistributed its heat, piling up warm waters along U.S. Western shores and raising sea level in the process.nasa.gov/sea-level-rise-2020 || ", "hits": 32 }, { "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": 45 }, { "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": 28 }, { "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": 34 }, { "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": 35 }, { "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": 34 }, { "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": 105 }, { "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": 92 }, { "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": 113 }, { "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": 40 }, { "id": 13152, "url": "https://svs.gsfc.nasa.gov/13152/", "result_type": "Produced Video", "release_date": "2019-02-28T12:30:00-05:00", "title": "2015-2016 El Niño Triggered Disease Outbreaks Across the Globe", "description": "Music: Under Offer by Peter Keith Yelland-BrownComplete transcript available. || ENSO_Dengue_Thumbnail.png (1920x1080) [3.2 MB] || ENSO_Dengue_Thumbnail_print.jpg (1024x576) [143.5 KB] || ENSO_Dengue_Thumbnail_searchweb.png (320x180) [88.1 KB] || ENSO_Dengue_Thumbnail_thm.png (80x40) [6.2 KB] || ENSO_Dengue_FINAL_lowres.mp4 (1280x720) [39.4 MB] || ENSO_Dengue_FINAL_lowres.webm (1280x720) [16.2 MB] || ENSO_Dengue_Captions.en_US.srt [2.6 KB] || ENSO_Dengue_Captions.en_US.vtt [2.6 KB] || ENSO_Dengue_FINAL.mov (1920x1080) [3.9 GB] || ", "hits": 46 }, { "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": 21 }, { "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": 324 }, { "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": 27 }, { "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": 74 }, { "id": 30976, "url": "https://svs.gsfc.nasa.gov/30976/", "result_type": "Hyperwall Visual", "release_date": "2018-07-18T00:00:00-04:00", "title": "Oceanic Niño Index through May 2018", "description": "Animated plot of the Oceanic Niño Index (ONI) from 1950-2018 || ONI_1950-2018_w_map_2018_05_AMJ_print.jpg (1024x576) [52.2 KB] || ONI_1950-2018_w_map_2018_05_AMJ_searchweb.png (320x180) [25.4 KB] || ONI_1950-2018_w_map_2018_05_AMJ_thm.png (80x40) [3.4 KB] || ONI_1950-2018_w_map_1950_01_DJF_720p30.mp4 (1280x720) [1.8 MB] || ONI_1950-2018_w_map_1950_01_DJF_720p30.webm (1280x720) [3.2 MB] || ONI_1950-2018_w_map_2018_05_AMJ.tif (3840x2160) [682.4 KB] || ONI_1950-2018_w_map (3840x2160) [0 Item(s)] || ", "hits": 62 }, { "id": 30975, "url": "https://svs.gsfc.nasa.gov/30975/", "result_type": "Hyperwall Visual", "release_date": "2018-07-12T00:00:00-04:00", "title": "Sea Surface Height Anomaly, 2014-2016", "description": "Animation of Sea Surface Height Anomaly in the Pacific for 2014 through 2016. || duacs_rep_global_merged_allsat_phy_20161231_adj_color_print.jpg (1024x576) [98.3 KB] || duacs_rep_global_merged_allsat_phy_20161231_adj_color_searchweb.png (320x180) [55.8 KB] || duacs_rep_global_merged_allsat_phy_20161231_adj_color_thm.png (80x40) [5.0 KB] || duacs_rep_global_merged_allsat_phy_2014-2016_libx264_1080p.mp4 (1920x1080) [32.2 MB] || duacs_rep_global_merged_allsat_phy_2014-2016_libx264_720p.mp4 (1280x720) [20.3 MB] || duacs_rep_global_merged_allsat_phy_2014-2016_libx264_720p.webm (1280x720) [4.6 MB] || duacs_rep_global_merged_allsat_phy_2014-2016_libx264_2160p.mp4 (3840x2160) [69.1 MB] || duacs_rep_global_merged_allsat_phy_20161231_adj_color.tif (3840x2160) [6.8 MB] || ", "hits": 36 }, { "id": 12628, "url": "https://svs.gsfc.nasa.gov/12628/", "result_type": "Produced Video", "release_date": "2017-07-25T01:00:00-04:00", "title": "Building a Hurricane Season in the Atlantic Ocean", "description": "Music: Eternal Sunset by Alexandre Prodhomme [SACEM]Complete transcript available. || LARGE_MP4-Hurricane_NoTitle_large.00001_print.jpg (1024x576) [120.4 KB] || LARGE_MP4-Hurricane_NoTitle_large.00001_searchweb.png (320x180) [89.3 KB] || LARGE_MP4-Hurricane_NoTitle_large.00001_thm.png (80x40) [6.6 KB] || WEBM-Hurricane_NoTitle.webm (960x540) [91.1 MB] || APPLE_TV-Hurricane_NoTitle_appletv.m4v (1280x720) [112.8 MB] || APPLE_TV-Hurricane_NoTitle_appletv_subtitles.m4v (1280x720) [112.9 MB] || LARGE_MP4-Hurricane_NoTitle_large.mp4 (1920x1080) [229.0 MB] || YOUTUBE_HQ-Hurricane_NoTitle_youtube_hq.mov (1920x1080) [467.0 MB] || 12628_hurricanes_standalone.en_US.srt [4.2 KB] || 12628_hurricanes_standalone.en_US.vtt [4.2 KB] || NASA_PODCAST-Hurricane_NoTitle_ipod_sm.mp4 (320x240) [39.0 MB] || ", "hits": 34 }, { "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": 252 }, { "id": 12370, "url": "https://svs.gsfc.nasa.gov/12370/", "result_type": "Produced Video", "release_date": "2016-09-13T11:00:00-04:00", "title": "Return To Normal in 2016, After Strong El Niño in 2015", "description": "Scientists at the Global Modeling and Assimilation Office of NASA's Goddard Space Flight Center regulary produce a forecast of sea surface temperatures in the equatorial Pacific ocean. The temperatures in this area are used to determine the conditions known as El Niño and La Niña. For several months, the NASA forecast has indicated the temperatures will be neutral over the next nine months. This indicates there will be no La Niña in 2016-2017, after the previous year's very strong El Niño.Music: Find The Answer, by Klangraum. Composers: Bernhard Hering [GEMA], Matthias Kruger [GEMA]Complete transcript available. || 12370_La_Nada_2016_MASTER_large.00090_print.jpg (1024x576) [106.7 KB] || 12370_La_Nada_2016_MASTER_large.00090_searchweb.png (320x180) [66.2 KB] || 12370_La_Nada_2016_MASTER_large.00090_thm.png (80x40) [5.0 KB] || 12370_La_Nada_2016_MASTER_V2_prores.mov (1280x720) [970.6 MB] || 12370_La_Nada_2016_MASTER_V2_youtube_hq.mov (1280x720) [196.0 MB] || 12370_La_Nada_2016_MASTER_V2_large.mp4 (1280x720) [70.8 MB] || 12370_La_Nada_2016_MASTER_V2_appletv.m4v (1280x720) [33.1 MB] || 12370_La_Nada_2016_MASTER_V2_appletv_subtitles.m4v (1280x720) [33.1 MB] || 12370_La_Nada_2016-captions.en_US.srt [970 bytes] || 12370_La_Nada_2016-captions.en_US.vtt [983 bytes] || 12370_La_Nada_2016_MASTER_V2_ipod_sm.mp4 (320x240) [11.2 MB] || 12370_La_Nada_2016_MASTER_V2_prores.webm [0 bytes] || ", "hits": 37 }, { "id": 12335, "url": "https://svs.gsfc.nasa.gov/12335/", "result_type": "Produced Video", "release_date": "2016-08-15T11:00:00-04:00", "title": "2016 Sea Ice Minimum Live Shots", "description": "Arctic Sea Ice Live Shot Roll-Ins || 12335_Sea_Ice_LS_Roll_Ins_Still.png (1275x716) [79.0 KB] || 12335_Sea_Ice_LS_Roll_Ins_Still_print.jpg (1024x575) [27.4 KB] || 12335_Sea_Ice_LS_Roll_Ins.webm (1280x720) [37.0 MB] || 12335_Sea_Ice_LS_Roll_Ins.mov (1280x720) [1.9 GB] || ", "hits": 42 }, { "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": 140 }, { "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": 63 }, { "id": 30756, "url": "https://svs.gsfc.nasa.gov/30756/", "result_type": "Hyperwall Visual", "release_date": "2016-03-08T00:00:00-05:00", "title": "Sea Surface Height Anomaly", "description": "Sea Surface Height Anomaly during the 2015-2016 El Niño || aviso_ssha_20160101_print.jpg (1024x574) [113.0 KB] || aviso_ssha_20160101_searchweb.png (320x180) [54.8 KB] || aviso_ssha_20160101_thm.png (80x40) [4.8 KB] || aviso_ssha_2015-2016_1080p.mp4 (1920x1080) [20.8 MB] || aviso_ssha_2015-2016_720p.mp4 (1280x720) [13.5 MB] || aviso_ssha_2015-2016_720p.webm (1280x720) [6.0 MB] || aviso_ssha_20160101.tif (4104x2304) [4.9 MB] || aviso_ssha_2015-2016_2304p.mp4 (4096x2304) [18.2 MB] || ", "hits": 62 }, { "id": 30748, "url": "https://svs.gsfc.nasa.gov/30748/", "result_type": "Hyperwall Visual", "release_date": "2016-02-01T00:00:00-05:00", "title": "Sea Surface Temperature and Temperature Anomaly 2015-2016", "description": "El Niño is characterized by unusually warm ocean temperatures in the eastern equatorial Pacific. Sea surface temperature is the temperature of the top millimeter of the ocean's surface. A sea surface temperature anomaly (SSTA) represents how different the ocean temperature, at a particular location and time, is from the normal (or average) temperature for that place and time. These maps, showing sea surface temperature and sea surface temperature anomalies, reveal the progression of the strong 2015-16 El Nino event from January 1, 2015 to January 2, 2016. The sea surface temperature data are seven-day averages calculated using daily thermal data from the Moderate Resolution Imaging Spectroradiometer (MODIS) instrument. Missing data have been filled with monthly-average data. The sea surface temperature anomaly data are seven-day averages calculated using the 5-kilometer Coral Reef Watch product produced by the National Oceanic and Atmospheric Administration. The data are based on observations from geostationary and polar-orbiting satellites. || ", "hits": 115 }, { "id": 30749, "url": "https://svs.gsfc.nasa.gov/30749/", "result_type": "Hyperwall Visual", "release_date": "2016-01-28T18:00:00-05:00", "title": "RapidScat observes El Niño", "description": "While El Niño events have a significant impact on the entire Earth System, they are most easily visible in measurements of sea surface temperature (SST), sea surface height (SSH) and ocean winds near the surface. In fact, the precursor and the main driver of El Niño events is manifested in the weakening of the normally westward blowing trade winds, or even their complete reversal to blow from west to east, in the Western and Central tropical Pacific.These images show ocean winds near the surface as observed by NASA's ISS-RapidScat on the International Space Station. The monthly average November 2015 anomalous winds (with respect to 2014) are shown. The colors represent the wind speed differences, while the vectors illustrate the direction of the anomaly mean wind components. The El Niño signal is very clearly evident in the eastward blowing anomalous winds observed in the tropical western and central Pacific. The El Niño signal is also seen in the anomalous stronger convergence into the tropical eastern Pacific, as evidenced by the stronger winds moving toward the equator observed in this region. || ", "hits": 20 }, { "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": 46 }, { "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": 319 }, { "id": 4413, "url": "https://svs.gsfc.nasa.gov/4413/", "result_type": "Visualization", "release_date": "2016-01-07T00:00:00-05:00", "title": "Sea Surface Temperature Anomaly and Terrestrial Water Storage Anomaly Comparison", "description": "Animation showing Sea Surface Temperature Anomaly (SSTA) and Terrestrial Water Storage Anomaly (TWSA) data from 2002 to 2015 simultaneously. For SSTA data, blues indicate temperatures lower than normal and reds are areas warmer than normal. With this data we can see the comings and goings of El Niño and La Niña across the years. For the TWSA data, browns indicate areas with less ground water than normal and greens are areas with more ground water than normal, which correlates to droughts and floods in these various regions. Furthermore, terrestrial areas that show significant amounts of low water storage are much more sensitive to wildfires. || grace_w_ssta_rob2.4991_print.jpg (1024x576) [133.2 KB] || grace_w_ssta_rob2.4991_searchweb.png (180x320) [91.1 KB] || grace_w_ssta_rob2.4991_thm.png (80x40) [7.7 KB] || grace_w_ssta_rob2_2x_1080p30.mp4 (1920x1080) [41.8 MB] || composite (1920x1080) [0 Item(s)] || robinson_projection (1920x1080) [0 Item(s)] || dates (1920x1080) [0 Item(s)] || grace_w_ssta_rob2_2x_1080p30.webm (1920x1080) [9.8 MB] || ", "hits": 48 }, { "id": 30629, "url": "https://svs.gsfc.nasa.gov/30629/", "result_type": "Hyperwall Visual", "release_date": "2015-12-27T16:00:00-05:00", "title": "El Niño Watch 2015", "description": "Animation of Sea Surface Height Anomaly for 2015 compared to 1997 || ssha_1997vs2015_print.jpg (1024x574) [142.6 KB] || ssha_1997vs2015_searchweb.png (180x320) [71.4 KB] || ssha_1997vs2015_thm.png (80x40) [7.0 KB] || ssha_1997vs2015_720p.webm (1280x720) [2.4 MB] || ssha_1997vs2015_720p.mp4 (1280x720) [4.0 MB] || ssha_1997vs2015_1080p.mp4 (1920x1080) [5.1 MB] || ssha_1997vs2015_2304p.mp4 (4096x2304) [15.3 MB] || ssha_1997vs2015_360p.mp4 (640x360) [1.7 MB] || ssha_1997vs2015.tif (4104x2304) [4.3 MB] || ssha_1997vs2015_30629.key [7.5 MB] || ssha_1997vs2015_30629.pptx [4.9 MB] || el_nino_1997vs2015_recent_still.hwshow [230 bytes] || ", "hits": 53 }, { "id": 30645, "url": "https://svs.gsfc.nasa.gov/30645/", "result_type": "Hyperwall Visual", "release_date": "2015-09-23T00:00:00-04:00", "title": "ENSO Sea Surface Temperature Anomalies: 2015-2016", "description": "Animation of Sea Surface Temperature Animaly from Dec 31, 2013 to present. || enso_ssta_2014-2016_print.jpg (1024x574) [225.9 KB] || enso_ssta_2014-2016.png (4104x2304) [6.5 MB] || enso_ssta_2014-2016_searchweb.png (320x180) [112.5 KB] || enso_ssta_2014-2016_thm.png (80x40) [8.0 KB] || enso_ssta_20131201-20160217_720p15.webm (1280x720) [28.8 MB] || enso_ssta_20131201-20160217_720p15.mp4 (1280x720) [221.0 MB] || enso_ssta_20131201-20160217_1080p15.mp4 (1920x1080) [360.9 MB] || enso_ssta_20131201-20160217_30645.key [223.5 MB] || enso_ssta_20131201-20160217_30645.pptx [221.1 MB] || enso_ssta_20131201-20160217_2304p15.mp4 (4104x2304) [896.9 MB] || ", "hits": 108 }, { "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": 172 }, { "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": 43 }, { "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": 151 }, { "id": 30550, "url": "https://svs.gsfc.nasa.gov/30550/", "result_type": "Hyperwall Visual", "release_date": "2014-11-19T22:00:00-05:00", "title": "ENSO Sea Surface Temperature Anomalies: 2009-2010", "description": "Animation of SSTA shows the evolution of the 2009-2010 ENSO. || enso_2009-2010_still_print.jpg (1024x574) [173.4 KB] || enso_2009-2010_still_thm.png (80x40) [7.8 KB] || enso_2009-2010_still_web.jpg (319x179) [27.4 KB] || enso_2009-2010_still_searchweb.png (320x180) [103.4 KB] || enso_2009-2010_720p.mp4 (1280x720) [71.7 MB] || enso_2009-2010_720p.webmhd.webm (960x540) [21.7 MB] || enso_2009-2010_540p.webm (960x540) [15.0 MB] || enso_2009-2010_1080p.mp4 (1920x1080) [111.6 MB] || enso_2009-2010_360p.mp4 (640x360) [30.4 MB] || enso_2009-2010.pptx [71.9 MB] || enso_2009-2010.key [74.4 MB] || enso_2009-2010_2304p.mp4 (4096x2304) [348.1 MB] || ", "hits": 82 }, { "id": 30551, "url": "https://svs.gsfc.nasa.gov/30551/", "result_type": "Hyperwall Visual", "release_date": "2014-11-19T16:00:00-05:00", "title": "ENSO Sea Surface Temperature Anomalies: 1997-1998", "description": "Sea Surface Temperature Anomaly during the the 1997-1998 ENSO event. || enso_1997-1998_still_print.jpg (1024x574) [175.7 KB] || enso_1997-1998_still.png (4104x2304) [5.2 MB] || enso_1997-1998_still_searchweb.png (320x180) [104.0 KB] || enso_1997-1998_still_web.png (320x179) [103.8 KB] || enso_1997-1998_still_thm.png (80x40) [7.9 KB] || enso_1997-1998_720p.mp4 (1280x720) [76.7 MB] || enso_1997-1998_540p.webm (960x540) [15.0 MB] || enso_1997-1998_1080p.mp4 (1920x1080) [116.4 MB] || enso_1997-1998_360p.mp4 (640x360) [32.6 MB] || enso_1997-1998.pptx [76.9 MB] || enso_1997-1998.key [79.5 MB] || enso_1997-1998_2304p.mp4 (4096x2304) [360.4 MB] || ", "hits": 148 }, { "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": 43 }, { "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": 89 }, { "id": 4085, "url": "https://svs.gsfc.nasa.gov/4085/", "result_type": "Visualization", "release_date": "2013-09-02T00:00:00-04:00", "title": "Water Falls (Science On a Sphere show): Hurricane Sandy", "description": "Hurricane Sandy segment for the GPM Science On a Sphere (SOS) show titled \"Water Falls\". The hurricane visualization is generated from GEOS-5 model output spanning October 26, 2012 to November 2, 2012 and repeated on the globe three times. || ", "hits": 27 }, { "id": 4004, "url": "https://svs.gsfc.nasa.gov/4004/", "result_type": "Visualization", "release_date": "2013-02-20T00:00:00-05:00", "title": "National Climate Assessment Annual Arctic Minimum Sea Ice Extents (1979-2012)", "description": "The National Climate Assessment (NCA) is a central component of the U.S. Global Change Research Program (USGCRP). Every four years, the NCA is required to produce a report for Congress that integrates, evaluates, and interprets the findings of the USGCRP; analyzes the effects of global change on the natural environment, agriculture, energy production and use, land and water resources, transportation, human health and welfare, human social systems, and biological diversity; and analyzes current trends in global change, both human-induced and natural, and projects major trends for the subsequent 25 to 100 years. A draft of the Third National Climate Assessment report is available on the Federal Advisory Committee website. The final report is slated to be released in 2014. This scientific visualization of annual minimum sea ice area over the Arctic from 1979-2012 is one element of the NCA that highlights findings conveyed in the \"Our Changing Climate\", the \"Alaska and the Arctic\" and the \"Impacts of Climate Change on Tribal, Indigenous, and Native Lands and Resources\" chapters of the draft Third NCA report. This record shows a persistent decline in the minimum extent of Arctic sea ice cover. The satellite observations are from passive microwave sensors and processed using the NASA Team algorithm developed by scientists at NASA Goddard Space Flight Center. The sensors that collected the data are the Scanning Multichannel Microwave Radiometer (SMMR) on the NASA Nimbus-7 satellite and a series of Special Sensor Microwave Imagers (SSM/I) and Special Sensor Microwave Imager and Sounders (SSMIS) on U.S. Department of Defense Meteorological Satellite Program (DMSP) satellites. The data from the different sensors are carefully assembled to assure consistency throughout the 34 year record.This visualization is similar to another developed by NASA, but is based on a slightly different algorithm to process the same sensor data. Both show similar downward trends in minimum sea ice area coverage over this time period. || ", "hits": 23 }, { "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": 368 }, { "id": 3903, "url": "https://svs.gsfc.nasa.gov/3903/", "result_type": "Visualization", "release_date": "2012-01-31T00:00:00-05:00", "title": "Modeled Precipitation Difference Between 2010 Snowmageddon Event and Winter of 2000", "description": "Three major snowstorms hit the east coast of the United States in the winter of 2009-2010. Scientists then posed the following question: What was the role of climate variability during this extreme winter? Utilizing high end computing resources at the NASA/Goddard Space Flight Center, scientists employed the use of the GEOS-5 atmospheric model in an ensemble of simulations to answer this question. Two case studies were produced. One was the winter of 2009-2010 and the other was the same months during the winter of 1999-2000. 50 member ensembles of high resolution simulations were run (each 3-months long beginning on December 1st for each winter).The resulting findings were that GEOS-5 simulations forced with observed Sea Surface Temperatures (SST) reproduce observed changes, including enhanced storminess along the United States east coast. The ensemble members showed that this is a robust response, and verified that anomalous weather events over the U.S. are, to a large extent, driven by El Niño SST. Furthermore, North Atlantic SST contributes to the coolor (snow-producing) temperatures along the U.S. east coast.By subtracting the results of the 1999-2000 runs from the 2009-2010 a difference map can be generated showing the areas that received more precipitation and areas that received less precipitation. Areas that received more precipitation in 2009-2010 over 1999-2000 are depicted in shades of green. Areas that received less precipitation between these two winters are depicted in shades of brown. || ", "hits": 14 }, { "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": 120 }, { "id": 3826, "url": "https://svs.gsfc.nasa.gov/3826/", "result_type": "Visualization", "release_date": "2011-05-25T00:00:00-04:00", "title": "NCCS Hyperwall Show: Attribution of February 2010 East Coast Snowstorms", "description": "Three major snowstorms hit the east coast of the United States in the winter of 2009-2010. Scientists then posed the following question: What was the role of climate variability during this extreme winter? Utilizing high end computing resources at the NASA/Goddard Space Flight Center, scientists employed the use of the GEOS-5 atmospheric model in an ensemble of simulations to answer this question. Two case studies were produced. One was the winter of 2009-2010 and the other was the same months during the winter of 1999-2000. 50 member ensembles of high resolution simulations were run (each 3-months long beginning on December 1st for each winter).The resulting findings were that GEOS-5 simulations forced with observed Sea Surface Temperatures (SST) reproduce observed changes, including enhanced storminess along the United States east coast. The ensemble members showed that this is a robust response, and verified that anomalous weather events over the U.S. are, to a large extent, driven by El Niño SST. Furthermore, North Atlantic SST contributes to the coolor (snow-producing) temperatures along the U.S. east coast. || ", "hits": 16 }, { "id": 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": 57 }, { "id": 3784, "url": "https://svs.gsfc.nasa.gov/3784/", "result_type": "Visualization", "release_date": "2010-10-12T00:00:00-04:00", "title": "2009 El Niño & 2010 La Niña (3D-Stereoscopic Version)", "description": "Sea Surface Height Anomalies (SSHA) are differences above and below normally observed sea surface heights. Large sustained above average areas (shown in orange and red) off the western coast of South America are an indicator of an El Niño event. In contrast, large sustained below average areas (shown in blue and violet) off the western South American coast are indicators of a La Niña event. This visualization shows the formation of an El Niño event towards the end of 2009 followed by a 2010 La Niña event. || ", "hits": 25 }, { "id": 3780, "url": "https://svs.gsfc.nasa.gov/3780/", "result_type": "Visualization", "release_date": "2010-10-06T00:00:00-04:00", "title": "2009 El Niño & 2010 La Niña (Science On a Sphere Version)", "description": "Sea Surface Height Anomalies (SSHA) are differences above and below normally observed sea surface heights. Large sustained above average areas (shown in orange and red) off the western coast of South America are an indicator of an El Niño event. In contrast, large sustained below average areas (shown in blue and violet) off the western South American coast are indicators of a La Niña event. This visualization shows the formation of an El Niño event towards the end of 2009 followed by a 2010 La Niña event. || ", "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": 41 }, { "id": 3681, "url": "https://svs.gsfc.nasa.gov/3681/", "result_type": "Visualization", "release_date": "2010-02-11T00:00:00-05:00", "title": "2009 El Niño & 2010 La Niña", "description": "Sea Surface Height Anomalies (SSHA) are differences above and below normally observed sea surface heights. Large sustained above average areas (shown in orange and red) off the western coast of South America are an indicator of an El Niño event. In contrast, large sustained below average areas (shown in blue and violet) off the western South American coast are indicators of a La Niña event. This visualization shows the formation of an El Niño event towards the end of 2009 followed by a 2010 La Niña event. || ", "hits": 44 }, { "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": 39 }, { "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": 70 }, { "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": 74 }, { "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": 45 }, { "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": 58 }, { "id": 3403, "url": "https://svs.gsfc.nasa.gov/3403/", "result_type": "Visualization", "release_date": "2007-02-19T00:00:00-05:00", "title": "Antarctic Plumbing: Lake Englehardt's Subglacial Hydraulic System", "description": "ICESat satellite laser altimeter elevation profiles from 2003-2006 collected over West Antarctica reveal numerous regions of temporally varying elevation. MODIS satellite imagery over roughly the same time period collaborates where these subglacial fluctuations have occurred. These observations have led scientists to conclude that subglacial water movement is happening in this lake region, revealing a widespread, dynamic subglacial water system that could provide important insights into ice flow and the mass balance of Antarctica's ice. || ", "hits": 59 }, { "id": 3375, "url": "https://svs.gsfc.nasa.gov/3375/", "result_type": "Visualization", "release_date": "2006-09-25T00:00:00-04:00", "title": "Five-Year Average Global Temperature Anomalies from 1881 to 2006", "description": "Because of a rapid warming trend over the past 30 years, the Earth is now reaching and passing through the warmest levels seen in the last 12,000 years. This color-coded map shows a progression of changing global surface temperatures from 1881 to 2006, the warmest ranked year on record. || ", "hits": 50 }, { "id": 3308, "url": "https://svs.gsfc.nasa.gov/3308/", "result_type": "Visualization", "release_date": "2005-12-31T00:00:00-05:00", "title": "Atmospheric Carbon Dioxide from 1980 to 2005", "description": "This visualization shows atmospheric carbon dioxide from 1980 to 2005. The first curve (in yellow) is fossil fuel emissions which is the known amount of carbon dioxide put out into the atmosphere. The second curve (in red) is the atmospheric increase which is the measured carbon in the atmosphere. Next, a green region between the two curves highlights the sink which is the amount of carbon dioxide that taken out of the atmosphere by natural processes. Scientists understand when some of the carbon sink occurs, but not all of it. This 'missing carbon' is a scientific mystery. Finally, in the visualization, the El Niño Southern Oscillation (ENSO) Index is added along with blue bars that indicate when each El Niño happens. Notice the strong correlation between the ENSO Index curve and the spikes in the atmospheric increase curve. During an El Niño, there is apparently less of a carbon sink. || ", "hits": 55 }, { "id": 3193, "url": "https://svs.gsfc.nasa.gov/3193/", "result_type": "Visualization", "release_date": "2005-07-13T00:00:00-04:00", "title": "Sea Surface Height Anomaly, 2003-2005 (WMS)", "description": "Changes in the normal height of the ocean's surface were observed by the TOPEX/Poseidon altimeter. || ", "hits": 18 }, { "id": 3191, "url": "https://svs.gsfc.nasa.gov/3191/", "result_type": "Visualization", "release_date": "2005-07-11T00:00:00-04:00", "title": "Sea Surface Temperature, 2005 (WMS)", "description": "The temperature of the surface of the world's oceans provides a clear indication of the state of the Earth's climate and weather. In this visualization sequence covering the period from January to June, 2005, the most obvious effects are the north-south movement of warm regions across the equator due to the seasonal movement of the sun and the seasonal advance and retreat of the sea ice near the North and South poles. It is also possible to see the Gulf Stream, the warm river of water that parallels the east coast of the United States before heading towards northern Europe, in this data. || ", "hits": 24 }, { "id": 3192, "url": "https://svs.gsfc.nasa.gov/3192/", "result_type": "Visualization", "release_date": "2005-07-11T00:00:00-04:00", "title": "Sea Surface Temperature Anomaly, 2005 (WMS)", "description": "The temperature of the surface of the world's oceans provides a clear indication of the state of the Earth's climate and weather. The sea surface temperature anomaly, or difference from the mean, can show climate indicators such as the El Niño oscillation, which manifests as a warmer-than-normal sea surface temperature in the Pacific Ocean west of Ecuador and Peru. This sequence shows a slight La Niña effect, or cooler-than-normal sea surface temperature in the eastern Pacific. || ", "hits": 22 }, { "id": 3171, "url": "https://svs.gsfc.nasa.gov/3171/", "result_type": "Visualization", "release_date": "2005-06-01T12:00:00-04:00", "title": "Wind Anomalies During El Niño/La Niña Event of 1997-1998 (WMS)", "description": "The El Niño/La Niña event in 1997-1999 was particularly intense, but was also very well observed by satellites and buoys. Deviations from normal winds speeds and directions were computed using data from the Special Sensor Microwave/Imager (SSMI) on the Tropical Rainfall Measuring Mission (TRMM) satellite. || ", "hits": 21 }, { "id": 3142, "url": "https://svs.gsfc.nasa.gov/3142/", "result_type": "Visualization", "release_date": "2005-04-01T12:00:00-05:00", "title": "Sea Surface Height Anomalies during El Niño/La Niña Event of 1997-1998 (WMS)", "description": "The El Niño/La Niña event in 1997-1999 was particularly intense, but was also very well observed by satellites and buoys. Changes in the normal height of the ocean's surface were observed by the TOPEX/Poseidon altimeter. || ", "hits": 84 }, { "id": 3135, "url": "https://svs.gsfc.nasa.gov/3135/", "result_type": "Visualization", "release_date": "2005-03-31T12:00:00-05:00", "title": "Sea Surface Temperature Anomalies during El Niño/La Niña Event of 1997-1998 (WMS)", "description": "The El Niño/La Niña event in 1997-1999 was particularly intense, but was also very well observed by satellites and buoys. A strong upwelling of unusually warm water was observed in the Pacific Ocean during the El Niño phase, followed by unusually cold water in the La Niña phase. The Advanced Very High Resolution Radiometer (AVHRR) instrument on the US National Oceanic and Atmospheric Administration's NOAA-14 spacecraft observed the changes in sea surface temperature shown here. || ", "hits": 65 }, { "id": 2913, "url": "https://svs.gsfc.nasa.gov/2913/", "result_type": "Visualization", "release_date": "2004-02-13T12:00:00-05:00", "title": "Life Returns to the Galapagos after El Niño (WMS)", "description": "During the El Niño in 1997 and 1998, the surface water in the eastern equatorial Pacific off the coast of South America was warmer than normal. This warm water trapped the ocean nutrients that normally come to the surface in the upwelling cold water, leading to a drastic decrease in phytonplankton and other ocean life in the region. The unique Galapagos ecosystem was severely affected and many species, including sea lions, seabirds, and barracudas, suffered a very high mortality level. During the second week of May, 1998, the ocean temperatures plummeted 10 degrees in one day, and the ocean productivity exploded with large phytoplankton blooms. After this time, many species recovered very rapidly and the land species started to reproduce immediately. The SeaWiFS instrument, which monitors global phytoplankton in the oceans by measuring the color of reflected light, caught this dramatic recovery. This visualization shws images from SeaWiFS starting on May 10, 1998 and ending on May 31, 1998, where ocean colors of blue or purple represents little or no ocean life and colors or yellow and red indicate significant ocean productivity. White and gray denote areas occluded by clouds in these images, and a relief image of the Galapagos Islands has been superimposed on the images to clarify the location of the islands. || ", "hits": 31 }, { "id": 2901, "url": "https://svs.gsfc.nasa.gov/2901/", "result_type": "Visualization", "release_date": "2004-02-12T12:00:00-05:00", "title": "Atmospheric Water Vapor during the 1998 La Niña (WMS)", "description": "Water vapor is a small but significant constituent of the atmosphere, warming the planet due to the greenhouse effect and condensing to form clouds which both warm and cool the Earth in different circumstances. A key feature of global atmospheric water vapor convection is the Intertropical Convergence Zone, the low pressure region within five degrees of the equator where the trade winds converge and solar heating of the atmosphere forces the water-laden air to rise in altitude, form clouds, and then precipitate as rain in the afternoon. This visualization shows the global water vapor distribution in gray and white and the global precipitation in yellow every hour from August 30, 1998 to September 20, 1998. The afternoon thunderstorms in the tropics are seen as a flashing yellow region that moves from east to west, following the sun. This is a La Niña period, when the water to the west of South America is cooler than normal, forcing the atmosphere there to cool down and hold less water. Strong east-to-west winds can be seen in this region, contributing to the high water vapor region that forms further to the west over southeast Asia, the Philippines, and Indonesia, causing increased humidity and rainfall in that region. This data is from the Goddard Earth Modeling System, a coupled land-ocean-atmosphere model which uses earth and satellite-based observations to simulate the Earth's physical system during events such as La Niña. || ", "hits": 27 }, { "id": 2902, "url": "https://svs.gsfc.nasa.gov/2902/", "result_type": "Visualization", "release_date": "2004-02-12T12:00:00-05:00", "title": "Atmospheric Water Vapor during the 1997-1998 El Niño (WMS)", "description": "Water vapor is a small but significant constituent of the atmosphere, warming the planet due to the greenhouse effect and condensing to form clouds which both warm and cool the Earth in different circumstances. A key feature of global atmospheric water vapor convection is the Intertropical Convergence Zone, the low pressure region within five degrees of the equator where the trade winds converge and solar heating of the atmosphere forces the water-laden air to rise in altitude, form clouds, and then precipitate as rain in the afternoon. This visualization shows the global water vapor distribution in gray and white and the global precipitation in yellow every hour from December 20, 1997 to January 14, 1998. The afternoon thunderstorms in the tropics are seen as a flashing yellow region that moves from east to west, following the sun. This is an El Niño period, when the water to the west of South America is warmer than normal, allowing the atmosphere there to heat up and hold more water. This region feeds a high band of water vapor reaching to the southeastern United States and causes increased humidity and rainfall in that region. This data is from the Goddard Earth Modeling System, a coupled land-ocean-atmosphere model which uses earth and satellite-based observations to simulate the Earth's physical system during events such as El Niño. || ", "hits": 20 } ] }