{ "count": 386, "next": "https://svs.gsfc.nasa.gov/api/search/?limit=100&offset=100&search=el+nino", "previous": null, "results": [ { "id": 31399, "url": "https://svs.gsfc.nasa.gov/31399/", "result_type": "Visualization", "release_date": "2026-06-09T11:07:08-04:00", "title": "Sea Surface Height Anomaly, 2026", "description": "A visualization of Sea Surface Height Anomaly using Satellite data.", "hits": 1145 }, { "id": 5613, "url": "https://svs.gsfc.nasa.gov/5613/", "result_type": "Visualization", "release_date": "2026-02-04T00:00:00-05:00", "title": "Shifting Distribution of Land Temperature Anomalies, 1964-2025", "description": "The change in the distribution of land temperature anomalies over the years 1951 to 2025.", "hits": 624 }, { "id": 5452, "url": "https://svs.gsfc.nasa.gov/5452/", "result_type": "Visualization", "release_date": "2025-01-10T11:00:00-05:00", "title": "Shifting Distribution of Land Temperature Anomalies, 1964-2024", "description": "The change in the distribution of land temperature anomalies over the years 1964 to 2024. This version is in Celsius, a Fahrenheit version is also available. || GISTEMPDist_2024_C.00850_print.jpg (1024x576) [45.7 KB] || GISTEMPDist_2024_C.00850_searchweb.png (320x180) [13.7 KB] || GISTEMPDist_2024_C.00850_thm.png [2.1 KB] || GISTEMPDist_2024_C.mp4 (3840x2160) [21.1 MB] ||", "hits": 582 }, { "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": 87 }, { "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": 309 }, { "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": 196 }, { "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": 150 }, { "id": 5312, "url": "https://svs.gsfc.nasa.gov/5312/", "result_type": "Visualization", "release_date": "2024-06-16T18:00:00-04:00", "title": "Slow Reveal Graphs: Global Mean Sea Level 1993-2023", "description": "Slow reveal graphs are an instructional routine using scaffolded visuals and discourse to help students (in K-12 and beyond) make sense of data. This is a slow reveal graph of the SVS visualization of rising Global Mean Sea Level. || ", "hits": 82 }, { "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": 38 }, { "id": 14553, "url": "https://svs.gsfc.nasa.gov/14553/", "result_type": "Produced Video", "release_date": "2024-03-25T00:00:00-04:00", "title": "NASA Earth Science Subject Matter Experts Interviews", "description": "NASA subject matter experts answering commonly asked questions pertaining to Earth Science. || ", "hits": 53 }, { "id": 5221, "url": "https://svs.gsfc.nasa.gov/5221/", "result_type": "Visualization", "release_date": "2024-03-21T12:00:00-04:00", "title": "Global Mean Sea Level 1993-2023", "description": "This animation shows the rise in global mean sea level from 1993 to 2023 based on data from a series of five international satellites. The spike in sea level from 2022 to 2023 is mostly a consequence of climate change and the development of El Niño conditions in the Pacific Ocean. || seaLevelRise_2024_English.00405_print.jpg (1024x576) [188.5 KB] || seaLevelRise_2024_English.00405_web.png (320x180) [54.4 KB] || seaLevelRise_2024_English.00405_thm.png (80x40) [5.1 KB] || seaLevel_Curves_2024_English.00405_searchweb.png (320x180) [41.9 KB] || English (3840x2160) [0 Item(s)] || seaLevelRise_2024_English.mp4 (3840x2160) [45.0 MB] || Climate-dashboard.hwshow [1.6 KB] || ", "hits": 268 }, { "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": 261 }, { "id": 5207, "url": "https://svs.gsfc.nasa.gov/5207/", "result_type": "Visualization", "release_date": "2024-01-12T11:00:00-05:00", "title": "Global Temperature Anomalies from 1880 to 2023", "description": "This color-coded map in Robinson projection displays a progression of changing global surface temperature anomalies. Normal temperatures are shown in white. Higher than normal temperatures are shown in red and lower than normal temperatures are shown in blue. Normal temperatures are calculated over the 30 year baseline period 1951-1980. The maps are averages over a running 24 month window. The final frame represents global temperature anomalies in 2023. || 2023GISTEMP_Map.00899_print.jpg (1024x576) [138.7 KB] || 2023GISTEMP_Map.00899_searchweb.png (320x180) [66.6 KB] || 2023GISTEMP_Map.00899_thm.png (80x40) [6.4 KB] || 2023GISTEMP_Map.00899_web.png (320x180) [65.9 KB] || 2023GISTEMP_Map_HD.mp4 (1920x1080) [57.2 MB] || 3840x2160_16x9_30p (3840x2160) [0 Item(s)] || 2023GISTEMP_Map.mp4 (3840x2160) [114.3 MB] || earth_observations_5x3.hwshow || ", "hits": 582 }, { "id": 5211, "url": "https://svs.gsfc.nasa.gov/5211/", "result_type": "Visualization", "release_date": "2024-01-12T11:00:00-05:00", "title": "Shifting Distribution of Land Temperature Anomalies, 1963-2023", "description": "The change in the distribution of land temperature anomalies over the years 1963 to 2023. This version is in Celsius, a Fahrenheit version is also available. || 2023_GISTEMP_Dist_C.00899_print.jpg (1024x576) [38.5 KB] || 2023_GISTEMP_Dist_C.00899_searchweb.png (320x180) [13.9 KB] || 2023_GISTEMP_Dist_C.00899_thm.png (80x40) [2.3 KB] || 2023_GISTEMP_Dist_C.mp4 (3840x2160) [22.3 MB] || 2023_GISTEMP_Dist_C.mp4.hwshow || ", "hits": 184 }, { "id": 14502, "url": "https://svs.gsfc.nasa.gov/14502/", "result_type": "Produced Video", "release_date": "2024-01-12T08:00:00-05:00", "title": "2023 Was the Hottest Year on Record", "description": "Complete transcript available. 2023 was Earth’s warmest year since 1880, and the last 10 consecutive years have been the warmest 10 on record. But why does NASA, a space agency, look at Earth’s temperature? And how do we even measure global temperature? Universal Music Production: “Busy Life Instrumental” “Spiritual Engineering Instrumental” “Promenade Instrumental” “Trusty Scalpel Instrumental” “Box of Tricks Instrumental” “Breaking Instrumental” and “Fast Progress Instrumental.” || main_thumbnail_1.jpg (1920x1080) [951.2 KB] || main_thumbnail_1_print.jpg (1024x576) [418.8 KB] || main_thumbnail_1_searchweb.png (320x180) [82.9 KB] || main_thumbnail_1_web.png (320x180) [82.9 KB] || main_thumbnail_1_thm.png (80x40) [7.8 KB] || 2023_Temp_Update_Sidebar_FINAL_LOCKED.webm (1920x1080) [70.1 MB] || 2023_Temp_Update_Sidebar_FINAL_LOCKED.mp4 (1920x1080) [1.3 GB] || ", "hits": 106 }, { "id": 14496, "url": "https://svs.gsfc.nasa.gov/14496/", "result_type": "Produced Video", "release_date": "2024-01-09T06:00:00-05:00", "title": "Soaring Records in NASA & NOAA’s 2023 Global Global Temperature Report", "description": "Soaring Records in NASA & NOAA’s 2023 Global Temperature ReportOn Friday, Jan. 12 at 11 a.m. EST, NASA and NOAA will release the 2023 assessment of global temperatures.", "hits": 73 }, { "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": 62 }, { "id": 5141, "url": "https://svs.gsfc.nasa.gov/5141/", "result_type": "Visualization", "release_date": "2023-09-22T00:00:00-04:00", "title": "Sea Surface Salinity Near The Maritime Continent", "description": "This animation of sea surface salinity shows the flow of freshwater from the Pacific into the Indian Ocean. The flow of freshwater (low salinity, blue color in 30-32 range) through narrow gaps of the maritime continent is known as Indonesian Throughflow. || sss.2020110117_print.jpg (1024x576) [172.0 KB] || sss.2020110117.png (5760x3240) [3.0 MB] || sss.2020110117_searchweb.png (320x180) [94.3 KB] || sss.2020110117_thm.png (80x40) [8.5 KB] || fixed_sss_1080p60_h265.mp4 (1920x1080) [88.2 MB] || 5760x3240_16x9_30p (5760x3240) [1.0 MB] || 3840x2160_16x9_30p (3840x2160) [1.0 MB] || fixed_sss_2160p60.mp4 (3840x2160) [482.0 MB] || ", "hits": 74 }, { "id": 5146, "url": "https://svs.gsfc.nasa.gov/5146/", "result_type": "Visualization", "release_date": "2023-08-30T00:00:00-04:00", "title": "Powerful Hurricane Idalia Makes Landfall in the Big Bend of Florida", "description": "Hurricane Idalia on it's approach to Florida on August 30, 2023 at 3:41Z. || Idalia_001.4300_print.jpg (1024x576) [270.1 KB] || Idalia_001.4300_searchweb.png (320x180) [118.4 KB] || Idalia_001.4300_thm.png (80x40) [8.7 KB] || Idalia_001_1080p30.mp4 (1920x1080) [54.2 MB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || Idalia_001_1080p30.webm (1920x1080) [5.9 MB] || Idalia_001_1080p30.mp4.hwshow [184 bytes] || ", "hits": 79 }, { "id": 40503, "url": "https://svs.gsfc.nasa.gov/gallery/hyperwall-power-playlist-earth-science/", "result_type": "Gallery", "release_date": "2023-08-28T00:00:00-04:00", "title": "Hyperwall Power Playlist - Earth Science Focus", "description": "This is a collection of our most powerful, newsworthy, and frequently used Hyperwall-ready visualizations, along with several that haven't gotten the attention they deserve. They're especially great for more general or top-level science talks, or to \"set the scene\" before a deep dive into a more focused subject or dataset. We've tried to cover the subject areas our speakers focus on most. \n\nIf you're not seeing what you're looking for, there is a huge library of visualizations more localized or specialized in subject - please use the Search function above, and filter \"Result type\" for \"Hyperwall Visual.\"\n\n If you'd like to use one of these visualizations in your Hyperwall presentation, we'll need to know which element on which page. On the visualization's web page, below the visual you'd like to use, you'll see a Link icon next to the Download button. All we need is for you to click on that icon and include that link in your presentation Powerpoint/Keynote or visualization list. Additionally, please check our Hyperwall How-To Guide for tips on designing your Hyperwall presentation, file specifications, and Powerpoint/Keynote templates.", "hits": 273 }, { "id": 14396, "url": "https://svs.gsfc.nasa.gov/14396/", "result_type": "Produced Video", "release_date": "2023-08-14T11:00:00-04:00", "title": "NASA Confirms July 2023 is Warmest Month on Record", "description": "July 2023 was hotter than any other month in the global temperature record, according to an analysis by scientists at NASA’s Goddard Institute for Space Studies (GISS). Earth in July 2023 was 1.18ºC (2.12ºF) warmer than the average for the month, and warmer than any other month in the 143-year record.\"We know that this is having impacts, said NASA Climate Scientist and GISS Director Gavin Schmidt. “We know that it is inducing heat waves. We know that it is leading to more intense rainfall, we're seeing that in many places in the world. And we know it's a contributing factor to the growth of wildfires in areas that have been affected by the temperatures.\" The warmer-than-usual July continues a long-term trend of warming, driven primarily by human-caused greenhouse gas emissions. July 2023 was 0.24°C (0.43°F) warmer than any previous July in NASA’s record. And according to GISS temperature anomaly data, the top-five hottest Julys since 1880 have all happened in the past five years. Read more here.Data supporting this temperature analysis comes from tens of thousands of meteorological stations, along with instruments on ships and buoys.For more video resources on climate change, visit the Climate Essentials animation gallery.To learn more about NASA's contribution to understanding Earth's climate, visit NASA's Global Climate Change site. || ", "hits": 271 }, { "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": 401 }, { "id": 5065, "url": "https://svs.gsfc.nasa.gov/5065/", "result_type": "Visualization", "release_date": "2023-05-31T00:00:00-04:00", "title": "Shifting Distribution of Land Temperature Anomalies, 1962-2022", "description": "The change in the distribution of land temperature anomalies over the years 1962 to 2022. This version is in Celsius, a Fahrenheit version is also available. || GISTEMPDist2022_C.00890_print.jpg (1024x576) [49.0 KB] || GISTEMPDist2022_C.00890_searchweb.png (320x180) [18.8 KB] || GISTEMPDist2022_C.00890_thm.png (80x40) [2.5 KB] || GISTEMPDist2022_C.mp4 (3840x2160) [17.1 MB] || GISTEMPDist2022_C.webm (3840x2160) [4.2 MB] || ", "hits": 293 }, { "id": 5060, "url": "https://svs.gsfc.nasa.gov/5060/", "result_type": "Visualization", "release_date": "2023-01-12T10:00:00-05:00", "title": "Global Temperature Anomalies from 1880 to 2022", "description": "This color-coded map in Robinson projection displays a progression of changing global surface temperature anomalies. Normal temperatures are shown in white. Higher than normal temperatures are shown in red and lower than normal temperatures are shown in blue. Normal temperatures are calculated over the 30 year baseline period 1951-1980. The final frame represents the 5 year global temperature anomalies from 2018-2022. || GISTEMP-2022-TemperatureAnomalyBothCelsiusFahrenheit.00899_print.jpg (1024x576) [145.3 KB] || GISTEMP-2022-TemperatureAnomalyBothCelsiusFahrenheit.00899_searchweb.png (180x320) [74.8 KB] || GISTEMP-2022-TemperatureAnomalyBothCelsiusFahrenheit.00899_thm.png (80x40) [6.3 KB] || GISTEMP-2022-TemperatureAnomalyBothCelsiusFahrenheit.mp4 (1920x1080) [57.8 MB] || celsius (1920x1080) [0 Item(s)] || celsius (3840x2160) [0 Item(s)] || ", "hits": 619 }, { "id": 40447, "url": "https://svs.gsfc.nasa.gov/gallery/visualizationsfor-educators/", "result_type": "Gallery", "release_date": "2022-08-17T00:00:00-04:00", "title": "Visualizations for Educators", "description": "Phenomena are observable events that occur in nature. Data visualizations can offer new ways for students to experience and explore Earth and space phenomena that happen over large scales of time and at great distances. This gallery includes visualizations of phenomena that support topics that are taught in middle and high school and are aligned with select Next Generation Science Standards.\n\n\nThis gallery was curated by Anne Arundle County Science Teachers Margaret Graham and Jeremy Milligan with support from Dr. Rachel Connolly during the summer of 2022. A video showing how Jeremy Milligan uses SVS resources to develop a phenomena-based lesson is also available.", "hits": 299 }, { "id": 14142, "url": "https://svs.gsfc.nasa.gov/14142/", "result_type": "Produced Video", "release_date": "2022-04-21T00:00:00-04:00", "title": "Goddard Glossary", "description": "Science loves jargon. When we write about Goddard’s research, we learn new words and phrases all the time, and we want to share them with you.Welcome to the Goddard Glossary! || ", "hits": 73 }, { "id": 40433, "url": "https://svs.gsfc.nasa.gov/gallery/science-ona-sphere-gallery/", "result_type": "Gallery", "release_date": "2021-11-23T00:00:00-05:00", "title": "Science On a Sphere Gallery", "description": "Content for NOAA's Science on a Sphere and related spherical display platforms.", "hits": 177 }, { "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": 47 }, { "id": 13684, "url": "https://svs.gsfc.nasa.gov/13684/", "result_type": "Produced Video", "release_date": "2020-08-12T06:00:00-04:00", "title": "NOAA Interview Opportunity: Hurricane Season Is Here And NOAA’s Got You Covered Live Shots", "description": "Associated b-roll will be added by Tuesday, August 18 at 4:00 p.m. ESTClick here for NOAA's latest update to the Atlantic Hurricane Season Outlook.And be sure to check out what storms are tracking right now at www.hurricanes.gov. || image.png (1064x397) [562.4 KB] || image_print.jpg (1024x382) [172.5 KB] || image_searchweb.png (320x180) [112.2 KB] || image_thm.png (80x40) [11.1 KB] || ", "hits": 36 }, { "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": 78 }, { "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": 83 }, { "id": 13557, "url": "https://svs.gsfc.nasa.gov/13557/", "result_type": "Produced Video", "release_date": "2020-02-24T11:00:00-05:00", "title": "Placing the Recent Hiatus Period in an Energy Balance Perspective", "description": "GLOBAL OBSERVATIONS OF EARTH’S ENERGY BALANCE With the launch of NASA’s Terra Satellite Earth Observing System on Dec. 18, 1999, and subsequent ‘first light’ of the Cloud’s and the Earth’s Energy Radiant System (CERES) instrument on February 26, 2000, NASA gave birth to what ultimately would become the first long-term global observational record of Earth’s energy balance. This key indicator of the climate system describes the delicate and complex balance between how much of the sun’s energy reaching Earth is absorbed and how much thermal infrared radiation is emitted back to space. “Absorbed solar radiation fuels the climate system and life on our planet,” said Norman Loeb, CERES Principal Investigator. “The Earth sheds heat by emitting outgoing radiation.” || ", "hits": 74 }, { "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": 77 }, { "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": 47 }, { "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": 87 }, { "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": 110 }, { "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": 85 }, { "id": 4765, "url": "https://svs.gsfc.nasa.gov/4765/", "result_type": "Visualization", "release_date": "2019-12-10T00:00:00-05:00", "title": "Sea Surface Temperature anomalies and patterns of Global Disease Outbreaks: 2009-2018", "description": "El Niño is an irregularly recurring climate pattern characterized by warmer than usual ocean temperatures in the equatorial Pacific, which creates a ripple effect of anticipated weather changes in far-spread regions. This visualization captures monthly Sea Surface Temperature (SST) anomalies around the world from 2009-2018, along with locations of global disease outbreaks and a corresponding timeline showcasing the Niño 3.4 Index. The Niño 3.4 Index represents average equatorial sea surface temperatures in the Pacific Ocean from about the International Date Line to the coast of South America. Highlighted in the timeline are the above average El Niño years, in which sea surface temperature anomalies peaked during 2015-2016. || SSTENSO_Diseases_Comp_2009_2018_1920x1080_0769_print.jpg (1024x576) [130.6 KB] || SSTENSO_Diseases_Comp_2009_2018_1920x1080_0769_searchweb.png (320x180) [79.7 KB] || SSTENSO_Diseases_Comp_2009_2018_1920x1080_0769_thm.png (80x40) [7.0 KB] || Composite (1920x1080) [0 Item(s)] || Composite (1920x1080) [0 Item(s)] || SSTENSO_Diseases_Comp_2009_2018_1920x1080_p30.mp4 (1920x1080) [23.0 MB] || SSTENSO_Diseases_Comp_2009_2018_1920x1080_0769.tif (1920x1080) [1.3 MB] || SSTENSO_Diseases_Comp_2009_2018_1920x1080_p30.webm (1920x1080) [4.7 MB] || SSTENSO_Diseases_Comp_2009_2018_1920x1080_p30.mp4.hwshow [211 bytes] || ", "hits": 139 }, { "id": 13347, "url": "https://svs.gsfc.nasa.gov/13347/", "result_type": "Produced Video", "release_date": "2019-10-16T15:00:00-04:00", "title": "Precipitation Accumulation and Anomalies", "description": "2015-2016 Precipitation Accumulation || 2015-16_Accumulation.00001_print.jpg (1024x576) [204.0 KB] || 2015-16_Accumulation.00001_searchweb.png (320x180) [98.8 KB] || 2015-16_Accumulation.00001_thm.png (80x40) [7.8 KB] || 2015-16_Accumulation.mp4 (1920x1080) [71.3 MB] || 2015-16_Accumulation_4K.webm (3840x2160) [27.8 MB] || accumulation (3840x2160) [0 Item(s)] || 2015-16_Accumulation_4K.mov (3840x2160) [3.4 GB] || ", "hits": 49 }, { "id": 40388, "url": "https://svs.gsfc.nasa.gov/gallery/nasaearth-science/", "result_type": "Gallery", "release_date": "2019-09-13T10:53:37-04:00", "title": "NASA Earth Science", "description": "NASA’s Earth Science Division (ESD) missions help us to understand our planet’s interconnected systems, from a global scale down to minute processes. Working in concert with a satellite network of international partners, ESD can measure precipitation around the world, and it can employ its own constellation of small satellites to look into the eye of a hurricane. ESD technology can track dust storms across continents and mosquito habitats across cities.\n\nFor more information:\nhttps://science.nasa.gov/earth-science", "hits": 292 }, { "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": 50 }, { "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": 62 }, { "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": 573 }, { "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": 49 }, { "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": 116 }, { "id": 12398, "url": "https://svs.gsfc.nasa.gov/12398/", "result_type": "Produced Video", "release_date": "2019-02-21T05:00:00-05:00", "title": "A 3D Forest Map", "description": "Lasers, droughts, and a 3D view: NASA maps the Amazon to examine tree mortality. || logged_v84_still.0561_1024x576.jpg (1024x576) [196.1 KB] || logged_v84_still.0561_print.jpg (1024x576) [215.8 KB] || logged_v84_still.0561_searchweb.png (320x180) [87.1 KB] || logged_v84_still.0561_thm.png (80x40) [5.6 KB] || logged_v84_still.0561.tif (3840x2160) [12.9 MB] || ", "hits": 250 }, { "id": 13083, "url": "https://svs.gsfc.nasa.gov/13083/", "result_type": "Produced Video", "release_date": "2018-10-04T11:00:00-04:00", "title": "Hubble Archive - Post-Deployment", "description": "Digitized tape of the press conference from June 27, 1990 where Ed Weiler and others explain the Hubble Space Telescope's spherical aberration problem and its impact to the science instruments. The aberration wouldn't much affect UV or IR observations, but the Wide Field Planetary Camera would be largely affected since it used visible wavelengths. TRT: 30:00Participants: Douglas Broome, HST Program Manager; Jean Olivier, Deputy Project Manager; Dr. Edward Weiler, HST Program Scientist at NASA HQ; Dr. Lennard A. Fisk, Associate Administrator Space Science and Applications at NASA HQ; Dr. Peter Stockman, Deputy Director of the Space Telescope Science InstituteLonger notes:Describing the initial spherical aberration problem with the Hubble Space Telescope’s primary mirror. Describe how they conclusively determined the nature of the problem. It affects one of their science objectives. Weiler: “We can still do important science.” UV capability and IR capability not impacted. Spatial resolution is about at ground-based resolution. Explains impacts to each of the instruments. HRS - will be able to do most of the science, just not in crowded fields, still excellent for planetary features, least impacted instrument FOS - UV science not impacted except on crowded fields, quasar absorption lines won’t be impacted because point sources, FOC - highest spatial resolution of the cameras, visible wavelengths will be ground-based resolution except maybe better for bright objects, HSP - won’t be able to do science with high signal to noise, but can do about half of proposed science esp in UV WFPC - probably no real science we can do with this because in visible Fine guidance sensors for astrometry - can do 100% of science we proposed, will be able to look at star’s wobble to find exoplanetsBiggest impact is loss of spatial resolution for WFPCInsurance policy - planned for maintenance program, are already building a second wide-field camera with a corrective mirror, think we can take out all the aberration and get back to original specification, 40% of science was going to be done with wide-field camera, developing NICMOS for near-IR capability that includes corrective opticsFor HRS and FOS, have STIS under development which would replace spectrographic capabilities Haven’t yet figured out how the problem occured; putting together a review boardDon’t know if the aberration is in the primary or secondary mirrorDidn’t test the two mirrors in combination because it would have been tremendously costly and difficult (hundreds of millions of dollars)Cuts off at endAudio missing from 11:10 - 11:20 || GSFC_19900627_HST_m001_thumbnail.jpg (720x484) [131.8 KB] || GSFC_19900627_HST_m001_thumbnail_searchweb.png (320x180) [145.5 KB] || GSFC_19900627_HST_m001_thumbnail_thm.png (80x40) [9.4 KB] || GSFC_19900627_HST_m001.mov (720x486) [12.5 GB] || GSFC_19900627_HST_m001.mp4 (720x484) [2.1 GB] || GSFC_19900627_HST_m001.webm [0 bytes] || ", "hits": 65 }, { "id": 4687, "url": "https://svs.gsfc.nasa.gov/4687/", "result_type": "Visualization", "release_date": "2018-09-28T00:00:00-04:00", "title": "El Nino Fueled Rains Swamp South America", "description": "Since the middle of 2015, meteorologists have warned that El Niño could bring unusually wet weather to Paraguay, Uruguay, Argentina, and southern Brazil. The first image shows a view of this region before the flood and the second is after the December/January El Nino rains swamped this part of South America. || OneBeforeAfterFLoodSA-ArgentinaParaguay02.00001_print.jpg (1024x576) [252.4 KB] || OneBeforeAfterFLoodSA-ArgentinaParaguay02.00001_searchweb.png (320x180) [131.8 KB] || OneBeforeAfterFLoodSA-ArgentinaParaguay02.00001_thm.png (80x40) [7.7 KB] || OneBeforeAfterFLoodSA-ArgentinaParaguay02.mp4 (3840x2160) [71.7 MB] || ElNinoFlood (3240x3240) [0 Item(s)] || OneBeforeAfterFLoodSA-ArgentinaParaguay02.webm (3840x2160) [8.8 MB] || rioparaguay02.hwshow [207 bytes] || ", "hits": 79 }, { "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": 49 }, { "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": 35 }, { "id": 40348, "url": "https://svs.gsfc.nasa.gov/gallery/esddatafor-societal-benefits/", "result_type": "Gallery", "release_date": "2018-04-24T00:00:00-04:00", "title": "ESD data for Societal Benefit", "description": "No description available.", "hits": 176 }, { "id": 12718, "url": "https://svs.gsfc.nasa.gov/12718/", "result_type": "Produced Video", "release_date": "2018-04-16T12:00:00-04:00", "title": "Tracking El Niño", "description": "Follow changes in sea surface temperature and ocean currents during El Niño. || GMAO_elNino_oceanTemperatureAnomaly_currents__0191_1024x576.jpg (1024x576) [115.4 KB] || GMAO_elNino_oceanTemperatureAnomaly_currents__0191_1920x1080.jpg (1920x1080) [360.7 KB] || GMAO_elNino_oceanTemperatureAnomaly_currents__0191_searchweb.png (320x180) [78.9 KB] || GMAO_elNino_oceanTemperatureAnomaly_currents__0191_thm.png (80x40) [6.2 KB] || GMAO_elNino_oceanTemperatureAnomaly_currents__0191.tif (3840x2160) [23.7 MB] || ", "hits": 1221 }, { "id": 12847, "url": "https://svs.gsfc.nasa.gov/12847/", "result_type": "Produced Video", "release_date": "2018-02-20T11:47:00-05:00", "title": "Warm World of 2017", "description": "2017 was the second hottest year on record. || cover.jpg (1024x576) [126.0 KB] || cover_print.jpg (1024x576) [125.2 KB] || cover_searchweb.png (320x180) [92.3 KB] || cover_thm.png (80x40) [7.4 KB] || ", "hits": 48 }, { "id": 12828, "url": "https://svs.gsfc.nasa.gov/12828/", "result_type": "Produced Video", "release_date": "2018-01-19T05:00:00-05:00", "title": "2017 Global Temperature Visuals", "description": "Earth’s global surface temperatures in 2017 were the second warmest since modern recordkeeping began in 1880, continuing the planet’s long-term warming trend.Globally averaged temperatures in 2017 were 1.62 degrees Fahrenheit (0.90 degrees Celsius) warmer than the 1951 to 1980 mean. That is second only to global temperatures in 2016. Last year was the third consecutive year in which temperatures were more than 1.8 degrees Fahrenheit (1 degree Celsius) above late nineteenth-century levels.2017 was the warmest year that did not have an El Niño event.NASA’s temperature analyses incorporate surface temperature measurements from 6,300 weather stations, ship- and buoy-based observations of sea surface temperatures, and temperature measurements from Antarctic research stations.These raw measurements are analyzed using an algorithm that considers the varied spacing of temperature stations around the globe and urban heating effects that could skew the conclusions. These calculations produce the global average temperature deviations from the baseline period of 1951 to 1980.The full 2017 surface temperature data set and the complete methodology used to make the temperature calculation are available at: http://data.giss.nasa.gov/gistemp/ || ", "hits": 66 }, { "id": 12822, "url": "https://svs.gsfc.nasa.gov/12822/", "result_type": "Produced Video", "release_date": "2018-01-18T10:30:00-05:00", "title": "2017 Takes Second Place for Hottest Year", "description": "Earth's surface temperatures in 2017 were the second warmest since since 1880, when global estimates first become feasible, NASA scientists found. Global temperatures in 2017 were second only to 2016, which still holds the record for the hottest year. However, 2017 was the warmest year without an El Niño. In a separate, independent analysis, NOAA scientists found that 2017 was the third-warmest year in their record. The minor difference is due to different methods to analyze global temperatures used by the two agencies, although over the long-term the records remain in strong agreement.Read the release. || ", "hits": 54 }, { "id": 12824, "url": "https://svs.gsfc.nasa.gov/12824/", "result_type": "Produced Video", "release_date": "2018-01-16T12:00:00-05:00", "title": "The Numbers Are In: Where Does 2017 Rank for Global Temperatures? Live Shots 1.18.18", "description": "2017 Takes Second Place For Warmest Year On Record. || 12824_Temperature_BROLL.00001_print.jpg (1024x576) [150.1 KB] || 12824_Temperature_BROLL.00001_searchweb.png (320x180) [80.3 KB] || 12824_Temperature_BROLL.00001_thm.png (80x40) [7.2 KB] || 12824_Temperature_BROLL.webm (960x540) [127.6 MB] || 12824_Temperature_BROLL_large.mp4 (1280x720) [322.6 MB] || 12824_Temperature_BROLL.mov (1280x720) [4.3 GB] || PRORES_B-ROLL_12824_Temperature_BROLL_prores.mov (1280x720) [4.4 GB] || ", "hits": 35 }, { "id": 12777, "url": "https://svs.gsfc.nasa.gov/12777/", "result_type": "Produced Video", "release_date": "2017-11-13T13:00:00-05:00", "title": "Our Living Planet From Space", "description": "Life. It's the one thing that, so far, makes Earth unique among the thousands of other planets we've discovered. Since the fall of 1997, NASA satellites have continuously and globally observed all plant life at the surface of the land and ocean. Earth is still the only planet we know of with life - with that in mind, our habitable home world seems evermore fragile and beautiful when considering the vastness of unlivable space. || ", "hits": 98 }, { "id": 4590, "url": "https://svs.gsfc.nasa.gov/4590/", "result_type": "Visualization", "release_date": "2017-10-27T00:00:00-04:00", "title": "Southern Africa Drought", "description": "When a giant swell of warm water, known as El Niño emerged in the Pacific Ocean in 2015, scientists knew to look for impacts. As El Niño changed global weather patterns Southern Africa went into severe drought. On top of already dry conditions, the region experienced its lowest rainfall in 35 years.With the Soil Moisture Active Passive (SMAP) mission, launched in 2015, NASA has dedicated soil moisture measurements for the first time – and could see this severe drought emerging. SMAP's highly sensitive microwave radiometer detects the energy emitted by soil depending on how wet or how dry it is. The old gardener's trick is to squeeze a handful of dirt in your hand and see whether it clumps or falls apart. Think of SMAP doing the same thing – with a lot more precision, all around the world, every 3 days.SMAP allowed us to see a connection between Pacific Ocean water temperatures and the moisture of the soil in Southern Africa. These measurements are now being put to operational use more than ever. SMAP's data was fed into the USDA's global crop yield forecasts – the Foreign Agriculture Service reports that help drive multi-billion dollar commodity markets around the world. In fact, the Foreign Ag Service scientist for this region said that with SMAP they now have the first reliable soil moisture data in 30 years.As crops failed and soils were left bare, we used the Terra and Aqua satellites to assess these effects on the vegetation from a local to regional scale. The Normalized Differential Vegetation Index (NDVI) reflects the health of vegetation on the land surface.As this drought spread across Southern Africa, nearly 30 million people were at risk of drastic food shortages. Four out of 10 people did not have access to clean drinking water.The analyses and data provided by NASA scientists are also critical to a USAID program called the Famine Early Warning Systems Network. As food crises arise, the global view provided by NASA scientists informs decisions about where governments and relief agencies should send help.In Southern Africa in 2015 and 2016, nearly 350 million dollars of emergency water and food aid were delivered, in part based on NASA data, to aid millions of people.As the peak of the drought hits in January 2016, the animations show the low soil moisture conditions in Zambia, Zimbabwe, and Botswana. Correspondingly the low vegetation appears in that region as well. || ", "hits": 43 }, { "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": 46 }, { "id": 11937, "url": "https://svs.gsfc.nasa.gov/11937/", "result_type": "Produced Video", "release_date": "2017-07-20T08:00:00-04:00", "title": "Earth's Energy Budget", "description": "Earth's energy budget is a metaphor for the delicate equilibrium between energy received from the Sun versus energy radiated back out in to space. Research into precise details of Earth's energy budget is vital for understanding how the planet's climate may be changing, as well as variabilities in solar energy output. NASA’s (The Clouds and the Earth's Radiant Energy System) CERES and NASA's Total and Spectral solar Irradiance Sensor (TSIS-1), missions play key roles in our continued understanding of Earth’s Energy Budget.NASA’s TSIS helps scientists keep a close watch on the sun’s energy input to Earth. Various satellites have captured a continuous record of this solar energy input since 1978. TSIS-1 sensors advance previous measurements, enabling scientists to study the sun's natural influence on Earth's ozone layer, atmospheric circulation, clouds, and ecosystems. These observations are essential for a scientific understanding of the effects of solar variability on the Earth system. TSIS-1 makes two key measurements: total solar irradiance, or TSI, the sun's total energy input into Earth, and solar spectral irradiance (SSI), the distribution of the sun's energy input across ultraviolet, visible, and infrared wavelengths of light. TSI measurements are needed to quantify the solar variations in the total amount of energy input to the Earth. SSI measurements are also vital because different wavelengths of light are absorbed by different parts of the atmosphere.For more than 20 years, NASA Langley's CERES (System) instruments have measured the solar energy reflected by Earth, the heat the planet emits, and the role of clouds in that process. The final CERES Flight Model, CERES FM6 launched aboard NOAA’s JPSS-1 in Fall 2017. CERES FM6 contributes to an already extensive CERES dataset that helps scientists validate models that calculate the effect of clouds on planetary heating and cooling. The same data can also be helpful for improving near-term, seasonal forecasts influenced by weather events such as El Niño and La Niña. El Niño and La Niña are weather patterns that develop when ocean temperatures fluctuate between warm and cool phases in the Equatorial Pacific Ocean. Built by Northrop Grumman and managed by Langley, CERES FM6 joins five other CERES instruments orbiting the planet on three other satellites.NASA Goddard Space Flight Center manages the TSIS-1 project. The University of Colorado's Laboratory for Atmospheric and Space Physics (LASP) built both instruments and provides mission operations. The International Space Station carries TSIS-1.Earth's energy budget is a metaphor for the delicate equilibrium between energy received from the Sun versus energy radiated back out in to space. Research into precise details of Earth's energy budget is vital for understanding how the planet's climate may be changing, as well as variabilities in solar energy output. NASA’s (The Clouds and the Earth's Radiant Energy System) CERES and NASA's Total and Spectral solar Irradiance Sensor (TSIS-1), missions play key roles in our continued understanding of Earth’s Energy Budget.NASA’s TSIS helps scientists keep a close watch on the sun’s energy input to Earth. Various satellites have captured a continuous record of this solar energy input since 1978. TSIS-1 sensors advance previous measurements, enabling scientists to study the sun's natural influence on Earth's ozone layer, atmospheric circulation, clouds, and ecosystems. These observations are essential for a scientific understanding of the effects of solar variability on the Earth system. TSIS-1 makes two key measurements: total solar irradiance, or TSI, the sun's total energy input into Earth, and solar spectral irradiance (SSI), the distribution of the sun's energy input across ultraviolet, visible, and infrared wavelengths of light. TSI measurements are needed to quantify the solar variations in the total amount of energy input to the Earth. SSI measurements are also vital because different wavelengths of light are absorbed by different parts of the atmosphere.For more than 20 years, NASA Langley's CERES (System) instruments have measured the solar energy reflected by Earth, the heat the planet emits, and the role of clouds in that process. The final CERES Flight Model, CERES FM6 launched aboard NOAA’s JPSS-1 in Fall 2017. CERES FM6 contributes to an already extensive CERES dataset that helps scientists validate models that calculate the effect of clouds on planetary heating and cooling. The same data can also be helpful for improving near-term, seasonal forecasts influenced by weather events such as El Niño and La Niña. El Niño and La Niña are weather patterns that develop when ocean temperatures fluctuate between warm and cool phases in the Equatorial Pacific Ocean. Built by Northrop Grumman and managed by Langley, CERES FM6 joins five other CERES instruments orbiting the planet on three other satellites.NASA Goddard Space Flight Center manages the TSIS-1 project. The University of Colorado's Laboratory for Atmospheric and Space Physics (LASP) built both instruments and provides mission operations. The International Space Station carries TSIS-1. || ", "hits": 152 }, { "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": 140 }, { "id": 12601, "url": "https://svs.gsfc.nasa.gov/12601/", "result_type": "Produced Video", "release_date": "2017-05-26T10:30:00-04:00", "title": "A 3D Look at the 2015 El Niño", "description": "Scientists at NASA's Goddard Space Flight Center have combined ocean measurements with cutting-edge supercomputer simulations to analyze the 2015-2016 El Niño in three dimensions. This visualization looks at the top 225 meters of the ocean, showing warmer than normal water in red, colder than normal water in blue. In the second half, current information is included, with east-flowing currents in yellow and west-flowing currents in white.Music: Bourrée from Handel's Water MusicWatch this video on the NASA Goddard YouTube channel. || 12601-El-Nino-3D-print.jpg (3840x2160) [2.7 MB] || 12601-El-Nino-3D-print_searchweb.png (320x180) [93.3 KB] || 12601-El-Nino-3D-print_thm.png (80x40) [7.1 KB] || 12601-El-Nino-3D-UHD.mp4 (3840x2160) [381.6 MB] || 12601-El-Nino-3D-captions.en_US.srt [1.7 KB] || 12601-El-Nino-3D-captions.en_US.vtt [1.7 KB] || 12601-El-Nino-3D-UHD.webm (3840x2160) [24.9 MB] || ", "hits": 153 }, { "id": 40317, "url": "https://svs.gsfc.nasa.gov/gallery/vcearth-video-wall/", "result_type": "Gallery", "release_date": "2017-02-02T00:00:00-05:00", "title": "VC Earth Video Wall", "description": "list of videos to display on video wall in Earth science exhibit at Goddard Visitor Center", "hits": 37 }, { "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": 167 }, { "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": 71 }, { "id": 12365, "url": "https://svs.gsfc.nasa.gov/12365/", "result_type": "Produced Video", "release_date": "2016-09-07T18:00:00-04:00", "title": "What's Up With Earth?", "description": "What would cause a wind pattern that held for at least 60 years to suddenly change? NASA scientists are working to understand the recent quirky behavior of winds in Earth’s stratosphere.Video for social media.Run time = 43 sec. || 12365-1280-MASTER.00001_print.jpg (1024x576) [131.4 KB] || 12365-1280-MASTER.00001_searchweb.png (320x180) [80.2 KB] || 12365-1280-MASTER.00001_web.png (320x180) [80.2 KB] || 12365-1280-MASTER.00001_thm.png (80x40) [5.8 KB] || 12365-1280-MASTER.mov (1280x720) [356.5 MB] || 12365-1280-MASTER_youtube_hq.mov (1280x720) [82.5 MB] || 12365-1280-MASTER_appletv.m4v (1280x720) [20.8 MB] || 12365-1280-MASTER.mpeg (1280x720) [174.6 MB] || 12365-1280-MASTER.webm (1280x720) [5.6 MB] || 12365-1280-MASTER_ipod_sm.mp4 (320x240) [7.4 MB] || ", "hits": 45 }, { "id": 12344, "url": "https://svs.gsfc.nasa.gov/12344/", "result_type": "Produced Video", "release_date": "2016-08-18T11:00:00-04:00", "title": "World On Fire", "description": "There’s always some place on Earth that’s burning. || c-1024.jpg (1024x576) [148.0 KB] || c-1280.jpg (1280x720) [205.7 KB] || c-1920.jpg (1920x1080) [317.9 KB] || c-1024_print.jpg (1024x576) [151.6 KB] || c-1024_searchweb.png (320x180) [55.1 KB] || c-1024_web.png (320x180) [55.1 KB] || c-1024_thm.png (80x40) [5.3 KB] || ", "hits": 36 }, { "id": 4484, "url": "https://svs.gsfc.nasa.gov/4484/", "result_type": "Visualization", "release_date": "2016-08-16T00:00:00-04:00", "title": "Global Fires 2015-2016 Visualizations", "description": "Global Fires 2015-2016, with Dates and Colorbar || global_fires_statelines_0000_print.jpg (1024x576) [73.9 KB] || global_fires_statelines_0000_searchweb.png (320x180) [41.4 KB] || global_fires_statelines_0000_thm.png (80x40) [4.6 KB] || global_fires_statelines (1920x1080) [0 Item(s)] || global_fires_statelines_1080p30.mp4 (1920x1080) [8.5 MB] || global_fires_statelines_1080p30.webm (1920x1080) [2.3 MB] || global_fires_statelines_1080p30.mp4.hwshow [197 bytes] || ", "hits": 45 }, { "id": 4485, "url": "https://svs.gsfc.nasa.gov/4485/", "result_type": "Visualization", "release_date": "2016-08-16T00:00:00-04:00", "title": "Hurricanes and Climate Modes", "description": "Hurricanes and climate modes -- 8-wave simulation with 3 members in 2005. || HCM_2005_8w_sim_1080p30.00732_print.jpg (1024x576) [156.2 KB] || HCM_2005_8w_sim_1080p30.00732_ipad_poster_frame.jpg (1024x576) [156.2 KB] || HCM_2005_8w_sim_1080p30.00732_searchweb.png (320x180) [88.8 KB] || HCM_2005_8w_sim_1080p30.00732_web.png (320x180) [88.8 KB] || HCM_2005_8w_sim_1080p30.00732_thm.png (80x40) [6.3 KB] || HCM_2005_8w_sim (1920x1080) [0 Item(s)] || HCM_2005_8w_sim_1080p30.mp4 (1920x1080) [20.4 MB] || HCM_2005_8w_sim_1080p30.webm (1920x1080) [2.2 MB] || HCM_2005_8w_sim_m1_1080p30.avi (1920x1080) [20.1 MB] || HCM_2005_8w_sim_m1_1080p30.wmv (1920x1080) [24.6 MB] || HCM_2005_8w_sim_1080p30.mp4.hwshow [189 bytes] || ", "hits": 15 }, { "id": 12330, "url": "https://svs.gsfc.nasa.gov/12330/", "result_type": "Produced Video", "release_date": "2016-07-29T05:00:00-04:00", "title": "NASA Sees Intense Fires Around The World", "description": "This year’s wildfire season is off to a blazing start. The United States had an early start to the season, with more than 29,000 wildfires burning more than 2.6 million acres of land. The driest season in 14 years has left the southern Amazon primed for heavy wildfire activity as well. The expected wildfire surge in the Amazon this summer is the result of El Niño, a warming of waters in the Pacific Ocean that had major impacts on weather across the United States the first half of 2016. While El Niño has officially ended, we’re still feeling effects through increased wildfire activity. In some parts of the U.S., the fire season is now on average 78 days longer than it was in 1970, according to the U.S. Department of Agriculture. NASA scientists are able to monitor these wildfires better than ever before, providing valuable information that fire managers can use to prepare the public. Using data collected by satellites, planes and on the ground, NASA is tracking wildfires around the world and keeping an eye on the hot, dry conditions that contribute to larger fires. || ", "hits": 47 }, { "id": 12325, "url": "https://svs.gsfc.nasa.gov/12325/", "result_type": "Produced Video", "release_date": "2016-07-25T12:00:00-04:00", "title": "Wildfires Live Shot July 2016", "description": "B-roll that goes along with the following questions:Wildfires have been raging in parts of the US this year. Can you show us the view from space?It’s been an active year around the globe for wildfires. How do fires on the other side of the world affect us?El Nino has dried out the Amazon this year, making it vulnerable to wildfires. What impacts could this have on the Summer Olympics?NASA is doing groundbreaking research around the world to study wildfires. What are we learning?Where can we learn more?Click for NASA's FIRES webpage.Find the latest on Twitter @NASAEarth || 008_B-Roll.00001_print.jpg (1024x576) [85.5 KB] || 008_B-Roll.00001_searchweb.png (320x180) [46.0 KB] || 008_B-Roll.00001_thm.png (80x40) [5.2 KB] || 008_B-Roll.mov (1280x720) [4.3 GB] || 008_B-Roll.mp4 (1280x720) [452.4 MB] || 008_B-Roll.webm (1280x720) [30.5 MB] || ", "hits": 46 }, { "id": 12301, "url": "https://svs.gsfc.nasa.gov/12301/", "result_type": "Produced Video", "release_date": "2016-07-11T13:00:00-04:00", "title": "GLOBE at Cedar Grove Elementary School", "description": "The Washington Post’s head meteorologist Jason Samenow meets elementary students collecting weather data.The third and fourth grade students at Cedar Grove Elementary School in Germantown, Maryland, worked for several months with Dorian Janney, a NASA education and communications specialist with the GPM mission. They collected weather data using GLOBE atmosphere protocols, and compared their data and data from the National Weather Service to see if they could find any impacts from the El Nino on their weather over a three-month period.They participated in the GLOBE Virtual Science Fair, and also got a chance to invite Jason Samenow to come and let them present their poster to him. Jason also gave a presentation to the school¹s upper grades on the causes and effects of weather, and explained why we need satellite data to help us both predict and study Earth's weather rand climate.Visit The GLOBE Program website for more information. || ", "hits": 16 }, { "id": 40302, "url": "https://svs.gsfc.nasa.gov/gallery/svsyoutube-candidates/", "result_type": "Gallery", "release_date": "2016-06-03T00:00:00-04:00", "title": "SVS YouTube Candidates", "description": "These are the proposed visualization candidates to be included in the SVS YouTube Channel.", "hits": 70 }, { "id": 12199, "url": "https://svs.gsfc.nasa.gov/12199/", "result_type": "Produced Video", "release_date": "2016-05-12T14:00:00-04:00", "title": "Evolution of Pacific Ocean Temperatures", "description": "Every two to seven years, an unusually warm pool of water—sometimes two to three degrees Celsius higher than normal—develops across the eastern equatorial Pacific Ocean. This warm condition, known as El Niño, can disrupt marine ecosystems and spur extreme weather patterns around the world. To predict when an El Niño is coming, NASA scientists use computer models that simulate ocean temperatures in the Pacific. Changes in ocean temperatures typical of an El Niño occur on the sea surface and up to 1,000 feet deep. With inputs from ocean buoys, satellite data and other sources, the models show what ocean temperatures might look like months into the future. The information not only helps scientists estimate the strength of an El Niño, but also study its evolution. || ", "hits": 37 }, { "id": 12242, "url": "https://svs.gsfc.nasa.gov/12242/", "result_type": "Produced Video", "release_date": "2016-05-05T20:22:00-04:00", "title": "El Niño Evolution", "description": "Computer models help scientists see El Niño unfold in the Pacific. || c-1024.jpg (1024x576) [238.4 KB] || c-1280.jpg (1280x720) [351.4 KB] || c-1920.jpg (1920x1080) [605.7 KB] || c-1024_print.jpg (1024x576) [252.3 KB] || c-1024_searchweb.png (320x180) [100.5 KB] || c-1024_web.png (320x180) [100.5 KB] || c-1024_thm.png (80x40) [17.1 KB] || ", "hits": 73 }, { "id": 30766, "url": "https://svs.gsfc.nasa.gov/30766/", "result_type": "Hyperwall Visual", "release_date": "2016-04-18T08:00:00-04:00", "title": "El Niño Precipitation Anomaly", "description": "El Nino precipitation anomaly || from_hal_2_1080p.00001_print.jpg (1024x576) [320.6 KB] || from_hal_2_1080p.00001_searchweb.png (320x180) [131.9 KB] || from_hal_2_1080p.00001_thm.png (80x40) [8.2 KB] || el_nino_precip_anom_720p.webm (1280x720) [22.6 MB] || el_nino_precip_anom_360p.mp4 (640x360) [50.9 MB] || 4104x2304_16x9_30p (4104x2304) [256.0 KB] || el_nino_precip_anom_1080p.mp4 (1920x1080) [264.2 MB] || el_nino_precip_anom_720p.mp4 (1280x720) [149.1 MB] || el_nino_precip_anom_2304p.mp4 (4096x2304) [809.4 MB] || El_Nino_Precipitation_Anomaly_30766.key [182.5 MB] || El_Nino_Precipitation_Anomaly_30766.pptx [180.2 MB] || the-earth-observing-fleet-by-theme-precipitation.hwshow [1.2 KB] || ", "hits": 62 }, { "id": 4445, "url": "https://svs.gsfc.nasa.gov/4445/", "result_type": "Visualization", "release_date": "2016-04-18T00:00:00-04:00", "title": "El Niño - Atmospheric River in January 2016", "description": "The atmospheric river in Jan 2016. || ElNinoAtmosphericRiver_1080p30.00405_print.jpg (1024x576) [91.9 KB] || ElNinoAtmosphericRiver_1080p30.00405_ipad_poster_frame.jpg (1024x576) [91.9 KB] || ElNinoAtmosphericRiver_1080p30.00405_searchweb.png (320x180) [52.7 KB] || ElNinoAtmosphericRiver_1080p30.00405_web.png (320x180) [52.7 KB] || ElNinoAtmosphericRiver_1080p30.00405_thm.png (80x40) [4.2 KB] || ElNinoAtmosphericRiver_1080p30.mp4 (1920x1080) [50.9 MB] || 1920x1080_16x9_30p (1920x1080) [64.0 KB] || ElNinoAtmosphericRiver_1080p30.webm (1920x1080) [2.4 MB] || ElNinoAtmosphericRiver_1080p30.mp4.hwshow [232 bytes] || ", "hits": 26 }, { "id": 12193, "url": "https://svs.gsfc.nasa.gov/12193/", "result_type": "Produced Video", "release_date": "2016-04-07T17:16:00-04:00", "title": "What's Next After El Niño?", "description": "Following a strong El Niño winter, scientists see Pacific Ocean temperatures return to normal. || NewCoverName-1024.jpg (1024x576) [371.3 KB] || NewCoverName-1024_print.jpg (1024x576) [378.7 KB] || NewCoverName-1024_searchweb.png (320x180) [92.3 KB] || NewCoverName-1024_web.png (320x180) [92.3 KB] || NewCoverName-1024_thm.png (80x40) [7.7 KB] || ", "hits": 20 }, { "id": 12176, "url": "https://svs.gsfc.nasa.gov/12176/", "result_type": "Produced Video", "release_date": "2016-04-04T00:00:00-04:00", "title": "How El Niño Impacts Marine Plant Life", "description": "El Niño years can have a big impact on the littlest plants in the ocean, and NASA scientists are studying the relationship between the two. Ocean color maps, based on a month’s worth of satellite data, show El Niño’s impact on phytoplankton. In El Niño years, huge masses of warm water – equivalent to about half of the volume of the Mediterranean Sea – slosh east across the Pacific Ocean towards South America. That mass of warm water puts a lid on the normal currents of cold, deep water that typically rise to the surface along the equator and off the coast of Chile and Peru.\"An El Niño basically stops the normal upwelling,\" Uz said. \"There’s a lot of starvation that happens to the marine food web.\" These small plants, called phytoplankton, are fish food – without them, fish populations drop, and the fishing industries that many coastal regions depend on can collapse. || ", "hits": 52 }, { "id": 40297, "url": "https://svs.gsfc.nasa.gov/gallery/hyperwall29-mar2016/", "result_type": "Gallery", "release_date": "2016-03-29T00:00:00-04:00", "title": "Hyperwall 29 Mar 2016", "description": "Content for the March 2016 Hyperwall Content News mailing list", "hits": 5 }, { "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": 59 }, { "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": 110 }, { "id": 30762, "url": "https://svs.gsfc.nasa.gov/30762/", "result_type": "Hyperwall Visual", "release_date": "2016-03-25T00:00:00-04:00", "title": "Jason-3 Begins Mapping the Ocean", "description": "Launched on January 17, 2016, Jason-3 is a partnership that includes NOAA, NASA, CNES, and EUMETSAT. After launch, Jason-3 was maneuvered into orbit about 80 seconds behind Jason-2, where it collected data at essentially the same time and place. It will stay in this tandem orbit for about six months while scientists and engineers take a careful look at any differences between Jason-2 and Jason-3. The map shown here was generated using sea surface height measurements from the first 10 days (February 12-20, 2016) of data collected once Jason-3 reached its operational orbit of 830 miles (1336 kilometers). The map corresponds well to data from its predecessor, Jason-2. Higher-than-normal sea levels are red; lower-than-normal sea levels are blue. El Niño is visible as the red blob in the eastern equatorial Pacific. After that, Jason-2 will move to an interleaved orbit (ground tracks halfway between those of Jason-3) where the two missions collectively will provide double the observational coverage of the global ocean. Extending the timeline of ocean surface topography measurements begun by the Topex/Poseidon and Jason-1 and Jason-2 satellites; Jason-3 will make highly detailed measurements of sea-level on Earth to monitor climate change and track phenomena like El Niño. It will also enable more accurate weather, ocean, and climate forecasts, including helping global weather and environmental agencies more accurately forecast the strength of tropical cyclones. || ", "hits": 58 }, { "id": 30754, "url": "https://svs.gsfc.nasa.gov/30754/", "result_type": "Hyperwall Visual", "release_date": "2016-03-17T00:00:00-04:00", "title": "Ocean Color Time Series", "description": "Ocean Color, July 2002 - March 2017 || ocean_color_mollweide_1080p.00001_print.jpg (1024x576) [147.0 KB] || ocean_color_mollweide_1080p.mp4 (1920x1080) [52.3 MB] || ocean_color_mollweide_720p.mp4 (1280x720) [26.0 MB] || ocean_color_mollweide_1080p.webm (1920x1080) [4.1 MB] || mollweide (4104x2304) [0 Item(s)] || ocean_color_mollweide_2304p.mp4 (4096x2304) [172.6 MB] || ", "hits": 57 }, { "id": 12169, "url": "https://svs.gsfc.nasa.gov/12169/", "result_type": "Produced Video", "release_date": "2016-03-08T17:00:00-05:00", "title": "Tracking California Rains During El Niño", "description": "This winter, areas across the globe experienced a shift in rain patterns due to the natural weather phenomenon known as El Niño. New NASA visualizations of rainfall data show the various changes to California.According to the National Oceanic and Atmospheric Administration, El Niño was expected to produce wetter-than-average conditions from December 2015 to February 2016. Scientists refer to historical weather patterns and to look at trends of where precipitation normally occurs during El Niño events. Also, several factors—not just El Niño—can contribute to unusual weather pattern. || ", "hits": 71 }, { "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": 77 }, { "id": 12162, "url": "https://svs.gsfc.nasa.gov/12162/", "result_type": "Produced Video", "release_date": "2016-02-26T15:00:00-05:00", "title": "NASA On Air: NASA Compares El Niños: 1997 vs. 2016 (2/26/2016)", "description": "LEAD: A new NASA visualization shows the 2015 El Niño unfolding in the Pacific Ocean. The sea surface temperatures presented different patterns than seen in the 1997-1998 El Niño.1. This visualization shows how the 1997 event started from colder-than-average sea surface temperatures – but the 2015 event started with warmer-than-average temperatures. 2. The water temperature variations also occur below the surface. And these variations were also different in 2015, compared to 1997. The red in this vizualization indicates warmer than normal temperatres and the blue is cooler. TAG: In the past, very strong El Niño events typically transition to neutral conditions and then a La Niña event. This current El Niño has been different so it will be interesting to see what happens in the next forecast and the coming months. || NASA_On_Air-El_Nino_Comparison-10_iPad_print.jpg (1024x576) [129.8 KB] || NASA_On_Air-El_Nino_Comparison-10_iPad_searchweb.png (320x180) [92.0 KB] || NASA_On_Air-El_Nino_Comparison-10_iPad_thm.png (80x40) [7.4 KB] || NASA_On_Air-El_Nino_Comparison-1_Weather_Channel_30_fps.mov (1920x1080) [773.5 MB] || NASA_On_Air-El_Nino_Comparison-2_Weather_Channel_60_fps.mov (1280x720) [868.2 MB] || NASA_On_Air-El_Nino_Comparison-3_NBC_Today.mov (1920x1080) [373.8 MB] || NASA_On_Air-El_Nino_Comparison-4_WeatherChannel.wmv (1280x720) [6.6 MB] || NASA_On_Air-El_Nino_Comparison-5_Accuweather.avi (1280x720) [5.2 MB] || NASA_On_Air-El_Nino_Comparison-6_Baron_Services_MP4.mp4 (1920x1080) [29.9 MB] || NASA_On_Air-El_Nino_Comparison-7_APR_422_1920_30.mov (1920x1080) [482.0 MB] || NASA_On_Air-El_Nino_Comparison-8_iPad.m4v (960x540) [12.0 MB] || NASA_On_Air-El_Nino_Comparison-9_iPad.m4v (1280x720) [7.3 MB] || NASA_On_Air-El_Nino_Comparison-10_iPad.m4v (1920x1080) [12.8 MB] || NASA_On_Air-El_Nino_Comparison-10_iPad.webm (1920x1080) [3.2 MB] || ", "hits": 71 }, { "id": 4433, "url": "https://svs.gsfc.nasa.gov/4433/", "result_type": "Visualization", "release_date": "2016-02-25T20:00:00-05:00", "title": "El Niño: GMAO Daily Sea Surface Temperature Anomaly from 1997/1998 and 2015/2016", "description": "This visualization shows how the Sea Surface Temperature Anomaly (SSTA) data and subsurface Temperature Anomaly from the 1997 El Nino year compares to the 2015 El Nino year. The visualization shows how the 1997 event started from colder-than-average sea surface temperatures – but the 2015 event started with warmer-than-average temperatures not only in the Pacific but also in in the Atlantic and Indian Oceans.This video is also available on our YouTube channel. || SSTcompare1997_2015_0000_print.jpg (1024x576) [87.4 KB] || SSTcompare1997_2015_0000_searchweb.png (320x180) [53.0 KB] || SSTcompare1997_2015_0000_thm.png (80x40) [5.6 KB] || Compare1997_2015_SSTA.mp4 (1920x1080) [28.7 MB] || compare (1920x1080) [0 Item(s)] || Compare1997_2015_SSTA.webm (1920x1080) [1.5 MB] || Compare1997_2015_SSTA.m4v (640x360) [2.5 MB] || Compare1997_2015_SSTA.mp4.hwshow [187 bytes] || ", "hits": 269 }, { "id": 12157, "url": "https://svs.gsfc.nasa.gov/12157/", "result_type": "Produced Video", "release_date": "2016-02-25T14:00:00-05:00", "title": "El Niño Rainfall and Ocean Temperature Visualizations", "description": "Visualization showing sea surface temperature (SST) anomaly data from Jan. 1, 2015 through Feb. 14, 2016. || SST_15-1920-MASTER-1920_H.264_QT_for_16x9_Youtube_print.jpg (1024x576) [102.5 KB] || SST_15-1920-MASTER.mov (1920x1080) [253.6 MB] || SST_15-1920-MASTER-1920_H.264_QT_for_16x9_Youtube.mov (1920x1080) [4.2 MB] || SST_15-1920-MASTER-1920_H.264_QT_for_16x9_Youtube.webm (1920x1080) [1.6 MB] || ", "hits": 56 }, { "id": 12152, "url": "https://svs.gsfc.nasa.gov/12152/", "result_type": "Produced Video", "release_date": "2016-02-23T15:00:00-05:00", "title": "\"Tracking El Nino\" Live Shots Resource Page", "description": "Interview with NASA Scientist George Huffman || 12152_George_Huffman_El_Nino_LS_print.jpg (1024x576) [122.4 KB] || WEBM_12152_George_Huffman_El_Nino_LS.webm (960x540) [102.1 MB] || 12152_George_Huffman_El_Nino_LS.mp4 (1280x720) [384.1 MB] || 12152_George_Huffman_El_Nino_LS.en_US.vtt [4.5 KB] || 12152_George_Huffman_El_Nino_LS.mov (1280x720) [2.5 GB] || ", "hits": 49 }, { "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": 31 }, { "id": 12143, "url": "https://svs.gsfc.nasa.gov/12143/", "result_type": "Produced Video", "release_date": "2016-02-05T11:00:00-05:00", "title": "NASA On Air: NASA's Global Hawk Flies Over El Niño Storms (2/5/2016)", "description": "LEAD: This month government scientists are making special research flights into and over the Pacific El Niño storms.1. NASA's remotely piloted Global Hawk aircraft will complete a series of high-level flights near 60,000 feet to measure the rainfall and upper level winds of the El Niño storms.2. This special research project is probing how the current El Niño’s unusually warm ocean temperatures in the equatorial Pacific are producing extreme precipitation on the West Coast, thousands of miles away.TAG: The goal of the research is help provide better warnings for the extreme weather that can accompany El Niño related storms. || IPAD_DELIVERABLES_NASAOnAir-Global_Hawk_iPad_1920x1080_print.jpg (1024x576) [94.2 KB] || IPAD_DELIVERABLES_NASAOnAir-Global_Hawk_iPad_1920x1080_searchweb.png (320x180) [70.2 KB] || IPAD_DELIVERABLES_NASAOnAir-Global_Hawk_iPad_1920x1080_thm.png (80x40) [4.5 KB] || WSI_WEATHER_CHANNEL_NASAOnAir-Global_Hawk_1280x720.mov (1280x720) [499.3 MB] || WSI_WEATHER_CHANNEL_NASAOnAir-Global_Hawk_1920x1080.mov (1920x1080) [430.3 MB] || NBC_TODAY_NASAOnAir-Global_Hawk_NBC_Today.mov (1920x1080) [36.9 MB] || Weather_Channel_NASAOnAir-Global_Hawk_Weather_Channel.wmv (1280x720) [5.2 MB] || Accuweather_NASAOnAir-Global_Hawk_Accuweather.avi (1280x720) [4.3 MB] || BARON_SERVICE_NASAOnAir-Global_Hawk_baron.mp4 (1920x1080) [17.0 MB] || WC_PRORES_422_NASAOnAir-Global_Hawk_prores.mov (1920x1080) [322.9 MB] || IPAD_DELIVERABLES_NASAOnAir-Global_Hawk_iPad_960x540.m4v (960x540) [19.6 MB] || IPAD_DELIVERABLES_NASAOnAir-Global_Hawk_iPad_1280x720.m4v (1280x720) [34.5 MB] || IPAD_DELIVERABLES_NASAOnAir-Global_Hawk_iPad_1920x1080.m4v (1920x1080) [55.0 MB] || WEBM_NASAOnAir-Global_Hawk.webm (960x540) [10.4 MB] || ", "hits": 23 }, { "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": 177 }, { "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": 190 }, { "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": 46 }, { "id": 12135, "url": "https://svs.gsfc.nasa.gov/12135/", "result_type": "Produced Video", "release_date": "2016-01-20T15:00:00-05:00", "title": "NASA On Air: NASA and NOAA Report Today That 2015 Was By Far The Warmest On Record (1/20/2015)", "description": "LEAD: NASA and NOAA report today that 2015 was by far the warmest on record. 1. In this specific graph NASA compares global temperatures to the base line temperature of 1880 to 1899, when the fossil fuel burning was much less than today. With this reference period 2015 was warmer by 1.95 degrees Fahrenheit. 2. The global time lapse from 1970 shows that 2015 warming is a continuation of a long term trend of global warming. 3. Looking back at just the month of December, 2015, 29 US states had the warmest December on record by nearly 6 degrees F, and parts of Europe also had a record warm December.TAG: The current El Niño has played a part in the warming, but 2015 would be a record with or without El Niño. || 10-IPAD_DELIVERABLES_NASA_On_Air-Hottest_Year_iPad_1920x1080_print.jpg (1024x576) [131.5 KB] || 10-IPAD_DELIVERABLES_NASA_On_Air-Hottest_Year_iPad_1920x1080_searchweb.png (320x180) [81.8 KB] || 10-IPAD_DELIVERABLES_NASA_On_Air-Hottest_Year_iPad_1920x1080_thm.png (80x40) [6.4 KB] || 1-WSI_WEATHER_CHANNEL_NASA_On_Air-Hottest_Year_1920x1080.mov (1920x1080) [486.6 MB] || 2-WSI_WEATHER_CHANNEL_NASA_On_Air-Hottest_Year_1280x720.mov (1280x720) [565.2 MB] || 3-NBC_TODAY_NASA_On_Air-Hottest_Year_NBC_Today.mov (1920x1080) [21.0 MB] || 4-WeatherChannel_NASA_On_Air-Hottest_Year_WeatherChannel.wmv (1280x720) [5.4 MB] || 5-Accuweather_NASA_On_Air-Hottest_Year_Accuweather.avi (1280x720) [4.3 MB] || 6-BARON_SERVICE_NASA_On_Air-Hottest_Year_baron.mp4 (1920x1080) [20.1 MB] || 7-WC_PRORES_422_NASA_On_Air-Hottest_Year_prores.mov (1920x1080) [368.7 MB] || 8-IPAD_DELIVERABLES_NASA_On_Air-Hottest_Year_iPad_960x540.m4v (960x540) [24.6 MB] || 9-IPAD_DELIVERABLES_NASA_On_Air-Hottest_Year_iPad_1280x720.m4v (1280x720) [45.1 MB] || 10-IPAD_DELIVERABLES_NASA_On_Air-Hottest_Year_iPad_1920x1080.m4v (1920x1080) [70.3 MB] || WEBM_NASA_On_Air-Hottest_Year.webm (960x540) [10.3 MB] || ", "hits": 30 }, { "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": 60 }, { "id": 12130, "url": "https://svs.gsfc.nasa.gov/12130/", "result_type": "Produced Video", "release_date": "2016-01-20T09:00:00-05:00", "title": "NASA On Air: NASA Launches Jason-3 Satellite To Measure Global Sea Levels And El Niño (1/20/2016)", "description": "LEAD: Scientists have a new satellite to help forecasters track El Niño and global sea levels.1. On Sunday, 1-17-2016, a SpaceX Falcon 9 rocket placed the U.S.-European Jason-3 satellite into orbit.2. From an altitude of 830-miles Jason-3 will precisely measure the height of 95 percent of the world's ice-free ocean every 10 days.3. The data will help improve forecasts of hurricanes and El Niño events.4. Jason-3 will add to a 23-year satellite record of global sea surface heights. Since 1992, researchers have observed a total global sea level rise of 2.8 inches. TAG: Because it is a measure of both ocean warming and loss of land ice, sea level rise is an important indicator of human-caused climate change. || IPAD_DELIVERABLES_NASA_On_Air-Jason-3_Launch_iPad_1920x1080_print.jpg (1024x576) [99.1 KB] || IPAD_DELIVERABLES_NASA_On_Air-Jason-3_Launch_iPad_1920x1080_searchweb.png (320x180) [61.7 KB] || IPAD_DELIVERABLES_NASA_On_Air-Jason-3_Launch_iPad_1920x1080_thm.png (80x40) [4.2 KB] || WSI_WEATHER_CHANNEL_NASA_On_Air-Jason-3_Launch_1280x720.mov (1280x720) [412.9 MB] || WSI_WEATHER_CHANNEL_NASA_On_Air-Jason-3_Launch_1920x1080.mov (1920x1080) [360.4 MB] || NBC_TODAY_NASA_On_Air-Jason-3_Launch_NBC_Today.mov (1920x1080) [28.8 MB] || Weather-Channel_NASA_On_Air-Jason-3_Launch_Weather-Channel.wmv (1280x720) [4.6 MB] || Accuweather_NASA_On_Air-Jason-3_Launch_Accuweather.avi (1280x720) [3.7 MB] || BARON_SERVICE_NASA_On_Air-Jason-3_Launch_baron.mp4 (1920x1080) [13.4 MB] || WC_PRORES_422_NASA_On_Air-Jason-3_Launch_prores.mov (1920x1080) [294.6 MB] || IPAD_DELIVERABLES_NASA_On_Air-Jason-3_Launch_iPad_960x540.m4v (960x540) [15.4 MB] || IPAD_DELIVERABLES_NASA_On_Air-Jason-3_Launch_iPad_1280x720.m4v (1280x720) [28.9 MB] || IPAD_DELIVERABLES_NASA_On_Air-Jason-3_Launch_iPad_1920x1080.m4v (1920x1080) [46.8 MB] || WEBM_NASA_On_Air-Jason-3_Launch.webm (960x540) [9.0 MB] || ", "hits": 37 }, { "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": 270 } ] }