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        {
            "id": 5213,
            "url": "https://svs.gsfc.nasa.gov/5213/",
            "result_type": "Visualization",
            "release_date": "2024-08-14T15:00:00-04:00",
            "title": "Changes in the Atmosphere and Ocean During a Transition From La Niña to El Niño",
            "description": "This is the final version of the ENSO visualization with narration.  There are HD and 4k versions available as mp4s.  There is also a high quality 4k version which is very large (3.8 Gbytes).  Other non-narrated formats including individual frames are available below this entry.This movie is also available on youtube here:https://youtu.be/jK20dl3g9R8?si=38LHf1e0iIzrfhRQlink || ENSO_99_final_4k.01200_print.jpg (1024x576) [82.0 KB] || ENSO_Locked_Final_1080.mp4 (1920x1080) [155.7 MB] || ENSO_Final_Audio.en_US.srt [8.6 KB] || ENSO_Final_Audio.en_US.vtt [8.7 KB] || ENSO_Locked_Final_2160.mp4 (3840x2160) [184.8 MB] || ENSO_Locked_Final_2160_HIGH_QUAL.mp4 (3840x2160) [3.7 GB] || ENSO_Locked_Final_2160.mp4.hwshow [188 bytes] || ",
            "hits": 270
        },
        {
            "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": 839
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        {
            "id": 4895,
            "url": "https://svs.gsfc.nasa.gov/4895/",
            "result_type": "Visualization",
            "release_date": "2021-04-19T09:30:00-04:00",
            "title": "Historical Atlantic Multidecadal Oscillation (AMO)",
            "description": "Visualization of Sea Surface Temperature (SST) Anomaly with corresponding timeplot tracking the Atlantic Multidecadal Oscillation (AMO) Index over the North Atlantic (0-80N) for the period of 1900-2005. || HistoricalAMO_1920x1080.60fps_2480.png (1920x1080) [1.2 MB] || HistoricalAMO_1920x1080.60fps_2480_print.jpg (1024x576) [88.9 KB] || HistoricalAMO_3840x2160.60fps_2480.png (3840x2160) [3.6 MB] || HistoricalAMO_1920x1080.60fps_2480_searchweb.png (320x180) [43.1 KB] || HistoricalAMO_1920x1080.60fps_2480_thm.png (80x40) [4.8 KB] || HistoricalAMO (1920x1080) [0 Item(s)] || HistoricalAMO (1920x1080) [0 Item(s)] || HistoricalAMO_1920x1080p60.mp4 (1920x1080) [19.0 MB] || HistoricalAMO_1920x1080p30.mp4 (1920x1080) [24.0 MB] || HistoricalAMO (3840x2160) [0 Item(s)] || HIstoricAMOComposite_3840x2160p30.webm (3840x2160) [7.8 MB] || HistoricalAMO_3840x2160p60.mp4 (3840x2160) [155.5 MB] || HIstoricAMOComposite_3840x2160p30.mp4 (3840x2160) [186.8 MB] || ",
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        {
            "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": 37
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        {
            "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": 40
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        {
            "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": 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": 70
        },
        {
            "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": 138
        },
        {
            "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": 142
        },
        {
            "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": 112
        },
        {
            "id": 4575,
            "url": "https://svs.gsfc.nasa.gov/4575/",
            "result_type": "Visualization",
            "release_date": "2017-07-31T00:00:00-04:00",
            "title": "NASA Studies Hurricane Matthew",
            "description": "This data visualization follows Hurricane Matthew throughout its destructive run in the Caribbean and Southeast U.S. coast. By utilizing different data sets from NOAA's GOES satellite, NASA/JAXA's GPM, MERRA-2 model runs, IMERG, Goddard's soil moisture product, and sea surface temperatures, scientists are able to put together a clearer picture of how this hurricane quickly intensified and eventually weakened. || matthew_narrated_v106.5800_print.jpg (1024x576) [189.6 KB] || matthew_narrated_v106.5800_searchweb.png (320x180) [114.8 KB] || matthew_narrated_v106.5800_thm.png (80x40) [7.8 KB] || matthew (1920x1080) [0 Item(s)] || matthew_narrated_v106.webm (1920x1080) [22.0 MB] || matthew_narrated_v106.mp4 (1920x1080) [140.5 MB] || 3840x2160_16x9_30p (3840x2160) [0 Item(s)] || matthew_narrated_v106_4k.mp4 (3840x2160) [443.1 MB] || matthew_narrated_nosound.hwshow || ",
            "hits": 130
        },
        {
            "id": 4544,
            "url": "https://svs.gsfc.nasa.gov/4544/",
            "result_type": "Visualization",
            "release_date": "2017-05-26T10:30:00-04:00",
            "title": "2015-2016 El Niño: Daily Sea Surface Temperature Anomaly and Ocean Currents",
            "description": "This visualization shows 2015-2016 El Nino through changes in sea surface temperature and ocean currents.  Blue regions represent colder temperatures and red regions represent warmer temperatures when compared with normal conditions.  Yellow arrows illustrate eastward currents and white arrows are westward currents. || GMAO_elNino_oceanTemperatureAnomaly_currents__1300_print.jpg (1024x576) [175.5 KB] || GMAO_elNino_oceanTemperatureAnomaly_currents__1300_searchweb.png (320x180) [97.1 KB] || GMAO_elNino_oceanTemperatureAnomaly_currents__1300_thm.png (80x40) [6.7 KB] || GMAO_elNino_oceanTemperatureAnomaly_currents_1080p.webm (1920x1080) [163.5 KB] || with_colorbar (3840x2160) [256.0 KB] || GMAO_elNino_oceanTemperatureAnomaly_currents_1080p.mp4 (1920x1080) [159.4 MB] || GMAO_oceanTemperatureAnomaly_withColorbar.mp4 (3840x2160) [166.0 MB] || ",
            "hits": 77
        },
        {
            "id": 30753,
            "url": "https://svs.gsfc.nasa.gov/30753/",
            "result_type": "Hyperwall Visual",
            "release_date": "2016-02-18T03:00:00-05:00",
            "title": "Sea Surface Temperature Anomaly Time Series",
            "description": "Sea Surface Temperature Anomaly February 2015-February 2016 || ssta_flat_1080p_print.jpg (1024x576) [186.0 KB] || ssta_flat_1080p_searchweb.png (320x180) [112.3 KB] || ssta_flat_1080p_thm.png (80x40) [7.9 KB] || ssta_flat_1080p.mp4 (1920x1080) [43.3 MB] || ssta_flat_720p.mp4 (1280x720) [23.2 MB] || ssta_flat_720p.webm (1280x720) [5.5 MB] || ssta_flat_360p.mp4 (640x360) [7.7 MB] || flat (4104x2304) [0 Item(s)] || omniglobe (4104x2052) [0 Item(s)] || ssta_flat_2304p.mp4 (4096x2304) [140.8 MB] || ",
            "hits": 33
        },
        {
            "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": 157
        },
        {
            "id": 30747,
            "url": "https://svs.gsfc.nasa.gov/30747/",
            "result_type": "Hyperwall Visual",
            "release_date": "2016-01-29T10:00:00-05:00",
            "title": "2015 El Niño Disrupts Ocean Chlorophyll",
            "description": "Sea Surface Temperature Anomaly & Ocean Color variations during El Nino vs. La Nina, using the rainbow colorbar for Ocean Color || ocean_color_ssta_swipe_new_rainbow_1080p.00001_print.jpg (1024x576) [116.9 KB] || ocean_color_ssta_swipe_new_rainbow_1080p.mp4 (1920x1080) [2.4 MB] || ocean_color_ssta_swipe_new_rainbow_720p.mp4 (1280x720) [1.4 MB] || ocean_color_ssta_swipe_new_rainbow_720p.webm (1280x720) [3.8 MB] || ocean_color_ssta_swipe_new_rainbow_2304p.mp4 (4096x2304) [7.5 MB] || ocean_color_ssta_swipe_new_rainbow_360p.mp4 (640x360) [530.1 KB] || ",
            "hits": 63
        },
        {
            "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": 19
        },
        {
            "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": 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": 134
        },
        {
            "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": 98
        },
        {
            "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": 149
        },
        {
            "id": 30490,
            "url": "https://svs.gsfc.nasa.gov/30490/",
            "result_type": "Hyperwall Visual",
            "release_date": "2014-02-22T00:00:00-05:00",
            "title": "Monitoring Coral Reefs",
            "description": "NOAA Coral Reef Watch’s thermal stress monitoring product suiteNOAA Coral Reef Watch’s (CRW) next generation high resolution bleaching thermal stress monitoring product suite comprises 5 products. Beginning with Sea Surface Temperature from NOAA NESDIS, several processing steps lead to the final Bleaching Alert Areas product. Global data from Gang Liu at NOAA (via Liane Guild at AMES) for Oceans 2014 || ",
            "hits": 264
        },
        {
            "id": 30489,
            "url": "https://svs.gsfc.nasa.gov/30489/",
            "result_type": "Hyperwall Visual",
            "release_date": "2014-02-07T00:00:00-05:00",
            "title": "La Niña: Sea Surface Temperature and Height Anomalies",
            "description": "The animation illustrates the evolution of sea surface temperature (SST) and sea surface height (SSH) anomalies (relative to the respective normal state) associated with the 2010-11 La Niña in the Pacific Ocean. SST and SSH anomalies reflect the heat content in the mixed layer (approximately upper 50 m) and the upper ocean (approximately upper 150 m) respectively. Warm/cold SST anomalies often are associated with high/low SSH anomalies. They provide complimentary views of the oceanic signature of climate variability such as El Niño and La Niña . La Niña is the cooling phase of an interannual mode of climate variability called El Niño-Southern Oscillation. Initial cooling appeared in the eastern to central equatorial Pacific around June 2010 and grew into a relatively strong La Niña event in late 2010. The event persists beyond February 2011. || ",
            "hits": 59
        },
        {
            "id": 30363,
            "url": "https://svs.gsfc.nasa.gov/30363/",
            "result_type": "Hyperwall Visual",
            "release_date": "2013-10-24T12:00:00-04:00",
            "title": "Monthly Sea-Surface Temperature Anomalies",
            "description": "Sea-surface temperature is the temperature of the top millimeter of the ocean's surface. An anomaly is when something is different from normal, or average. A sea-surface temperature anomaly is how different the ocean temperature at a particular location at a particular time is from the normal temperatures for that place. Sea surface temperature anomalies can happen as part of normal ocean cycles or they can be a sign of long-term climate change, such as global warming. These maps show monthly sea-surface temperature anomalies from June 2002 to September 2011, as derived from Aqua’s Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E) data. AMSR-E ended data collection in October 2011 due to problems with the rotation of its antenna. || ",
            "hits": 55
        },
        {
            "id": 11056,
            "url": "https://svs.gsfc.nasa.gov/11056/",
            "result_type": "Produced Video",
            "release_date": "2012-08-02T00:00:00-04:00",
            "title": "The Ocean - a driving force for Weather and Climate",
            "description": "The Ocean is essential to life on Earth. Most of Earth's water is stored in the ocean. Although 40 percent of Earth's population lives within, or near coastal regions- the ocean impacts people everywhere. Without the ocean, our planet would be uninhabitable. This animation helps to convey the importance of Earth's oceanic processes as one component of Earth's interrelated systems.This animation uses Earth science data from a variety of sensors on NASA Earth observing satellites to measure physical oceanography parameters such as ocean currents, ocean winds, sea surface height and sea surface temperature. These measurements, in combination with atmospheric measurements such as surface air temperature, precipitation and clouds can help scientists understand the ocean's impact on weather and climate and what this means for life here on Earth. NASA satellites and their unique view from space are helping to unveil the vast... and largely unexplored.... OCEAN.NASA Earth Observing System Data and Information Systems (EOSDIS) EOSDIS is a distributed system of twelve data centers and science investigator processing systems. EOSDIS processes, archives, and distributes data from Earth observing satellites, field campaigns, airborne sensors, and related Earth science programs. These data enable the study of Earth from space to advance scientific understanding. For questions, please contact eosdis-outreach@lists.nasa.gov || ",
            "hits": 125
        },
        {
            "id": 2906,
            "url": "https://svs.gsfc.nasa.gov/2906/",
            "result_type": "Visualization",
            "release_date": "2004-02-12T12:00:00-05:00",
            "title": "Global Sea Surface Temperature Anomalies from June, 2002 to September, 2003 (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 AMSR-E instrument on the Aqua satellite measures the temperature of the top 1 millimeter of the ocean every day, even through the clouds.  If the average sea surface temperature for a particular date is subtracted from the measured temperature for that date, the resulting sea surface temperature anomaly can be used to accurately assess the current state of the oceans.  The anomaly can serve as an early warning system for weather phenomena and can be used to indicate forthcoming problems with fish populations and coral reef health.  In this visualization of the anomaly covering the period from June, 2002, to September, 2003, the most obvious effects are a successive warming and cooling along the equator to the west of Peru, the signature of an El Niño/La Niña cycle.  Around January 1, 2003, a cooler than normal region of the ocean appears in this region as part of a La Niña and flows westward, driven by the trade winds.  The waves that appear on the edges of this cooler area are called tropical instability waves. || ",
            "hits": 11
        },
        {
            "id": 2432,
            "url": "https://svs.gsfc.nasa.gov/2432/",
            "result_type": "Visualization",
            "release_date": "2002-04-22T12:00:00-04:00",
            "title": "Sea Surface Temperature Anomaly from July 5, 2001 to March 10, 2002",
            "description": "This animation depicts the difference between the actual sea surface temperature and the average climatology data. Blue areas indicate temperatures colder than average while red areas indicate regions that are warmer. Temperature values between -4 degrees and +3 degrees are mapped to gradient color ramps, and regions with less than one degree deviation from average are shown as gray. || ",
            "hits": 21
        }
    ]
}