{ "count": 73, "next": null, "previous": null, "results": [ { "id": 5607, "url": "https://svs.gsfc.nasa.gov/5607/", "result_type": "Visualization", "release_date": "2026-02-04T12:00:00-05:00", "title": "Record Temperature Years: 2025, 2024, and 2023", "description": "2025, 2024, and 2023 were the three warmest years in NASA's 146-year record. This visualization highlights these three years in the context of the full GISTEMP temperature record.", "hits": 1109 }, { "id": 5603, "url": "https://svs.gsfc.nasa.gov/5603/", "result_type": "Visualization", "release_date": "2026-01-14T13:00:00-05:00", "title": "Global Temperature Anomalies from 1880 to 2025", "description": "Global surface air temperatures from 1880-2025 as estimated from the GISTEMP analysis.", "hits": 1862 }, { "id": 5591, "url": "https://svs.gsfc.nasa.gov/5591/", "result_type": "Visualization", "release_date": "2025-12-29T14:00:00-05:00", "title": "ICESat-2 Land Ice Height Change (2020-2025)", "description": "NASA’s ICESat-2 satellite measures the elevation of Earth’s surfaces – and two data products from the mission map the height of Antarctic and Greenland ice sheets, as well as how those ice sheets change over time. The ICESat-2 ATL14 data product provides a reference ice sheet surface, while ATL15 provides elevation changes to that surface through time.", "hits": 298 }, { "id": 5592, "url": "https://svs.gsfc.nasa.gov/5592/", "result_type": "Visualization", "release_date": "2025-12-29T13:00:00-05:00", "title": "ICESat-2 Winter Sea Ice Thickness (2020-2025)", "description": "A view of the Arctic Ocean with ICESat-2 monthly average winter sea ice thickness data from 2020 to 2025", "hits": 175 }, { "id": 5376, "url": "https://svs.gsfc.nasa.gov/5376/", "result_type": "Visualization", "release_date": "2025-01-10T11:00:00-05:00", "title": "Record Temperature Years: 2024, 2023, and 2016", "description": "A visualization of global temperature anomalies highlighting the record years of 2024, 2023, and 2016. The visualizations morphs between a data grid showing monthly temperatures and a bar chart of annual temperatures. This version is labeled in English and temperatures are in Celsius. || GISTEMP_Records_English_C.00001_print.jpg (1024x1024) [402.0 KB] || GISTEMP_Records_English_C.00001_searchweb.png (320x180) [105.1 KB] || GISTEMP_Records_English_C.00001_thm.png [7.1 KB] || GISTEMP_Records_English_C.mp4 (2160x2160) [19.3 MB] || climate_compiled_GISTEMP.hwshow || ", "hits": 376 }, { "id": 5450, "url": "https://svs.gsfc.nasa.gov/5450/", "result_type": "Visualization", "release_date": "2025-01-10T11:00:00-05:00", "title": "Global Temperature Anomalies from 1880 to 2024", "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 2024.", "hits": 1977 }, { "id": 5451, "url": "https://svs.gsfc.nasa.gov/5451/", "result_type": "Visualization", "release_date": "2025-01-10T11:00:00-05:00", "title": "Zonal Climate Anomalies 1880-2024", "description": "A visualization of zonal temperature anomalies. The latitude zones are 90N-64N, 64N-44N, 44N-24N, 24N-EQU, EQU-24S, 24S-44S, 44S-64S, 64S-90S. The anomalies are calculated relative to a baseline period of 1951-1980. This version is in Celsius, an alternate version in Fahrenheit is also available. || GISTEMP_Zonal_1880-2024_C_2160p30.00850_print.jpg (1024x576) [52.4 KB] || GISTEMP_Zonal_1880-2024_C_2160p30.00850_searchweb.png (320x180) [17.8 KB] || GISTEMP_Zonal_1880-2024_C_2160p30.00850_thm.png [2.4 KB] || GISTEMP_Zonal_1880-2024_C_2160p30.mp4 (3840x2160) [20.3 MB] || ", "hits": 159 }, { "id": 5383, "url": "https://svs.gsfc.nasa.gov/5383/", "result_type": "Visualization", "release_date": "2024-09-17T15:00:00-04:00", "title": "Slow Reveal Graphs: Climate Spiral", "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 NASA Climate Spiral. || ", "hits": 195 }, { "id": 14648, "url": "https://svs.gsfc.nasa.gov/14648/", "result_type": "Produced Video", "release_date": "2024-08-16T00:00:00-04:00", "title": "An Ocean in Bloom", "description": "Music: \"Maelstrom Dream,\" \"Skipping Stones On The Lake,\" \"Breaking Through The Clouds,\" \"Awaking Wonder,\" \"Floating Emotions,\" \"Fire in the Chill of Dawn,\" \"Closed Fractures,\" \"Battle For Our Future,\" \"Final Climb,\" \"In Nature,\" Universal Production Music.Complete transcript available.This video can be freely shared and downloaded. While the video in its entirety can be shared without permission, some individual imagery provided by external sources (see list below) is obtained through permission and may not be excised or remixed in other products. For more information on NASA’s media guidelines, visit https://www.nasa.gov/multimedia/guidelines/index.htmlFootage Courtesy Of: FOX 13 News, New World of Communications of Tampa, INC. TM and Copyright 2021, 2022, 2023. All Rights Reserved, Pexels, Pond5, Ralph Arwood, Joseph Rohrs, Dale Danelle, NOAA Fisheries, NASA/SpaceX.You can also find \"An Ocean in Bloom\" on NASA+. || NHQ_2024_0801_AnOceanInBloom_FINALCUT.02846_print.jpg (1024x576) [214.4 KB] || NHQ_2024_0801_AnOceanInBloom_FINALCUT.02846_searchweb.png (320x180) [102.3 KB] || NHQ_2024_0801_AnOceanInBloom_FINALCUT.02846_web.png (320x180) [102.3 KB] || NHQ_2024_0801_AnOceanInBloom_FINALCUT.02846_thm.png (80x40) [6.5 KB] || NHQ_2024_0801_AnOceanInBloom_FINALCUT_EN_US.en_US.vtt [20.8 KB] || NHQ_2024_0801_AnOceanInBloom_FINALCUT_EN_US.en_US.srt [21.9 KB] || NHQ_2024_0801_AnOceanInBloom_FINALCUT.webm (3840x2160) [412.0 MB] || NHQ_2024_0801_AnOceanInBloom_FinalCut_HD.mp4 (1920x1080) [3.2 GB] || NHQ_2024_0801_AnOceanInBloom_FINALCUT.mp4 (3840x2160) [5.6 GB] || ", "hits": 58 }, { "id": 5311, "url": "https://svs.gsfc.nasa.gov/5311/", "result_type": "Visualization", "release_date": "2024-07-17T06:00:00-04:00", "title": "Twelve consecutive months of global surface temperature records: June 2023 - May 2024", "description": "This visualization shows monthly global surface temperatures from 1880 to May 2024. The last 12 months (June 2023 through May 2024) each set a record as the warmest month in the temperature record. This version of the graph is in Fahrenheit. || GISTEMP_Lines_Rotate_2024_degF.00650_print.jpg (1024x1024) [428.6 KB] || GISTEMP_Lines_Rotate_2024_degF.00650_searchweb.png (320x180) [109.7 KB] || GISTEMP_Lines_Rotate_2024_degF.00650_thm.png (80x40) [7.5 KB] || GISTEMP_Lines_Rotate_2024_degF.mp4 (2160x2160) [57.3 MB] || ", "hits": 143 }, { "id": 5327, "url": "https://svs.gsfc.nasa.gov/5327/", "result_type": "Visualization", "release_date": "2024-07-17T06:00:00-04:00", "title": "Slow Reveal Graphs: Twelve consecutive months of global surface temperature records (June 2023 - May 2024)", "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 Twelve consectutive months of global surface temperature records. || ", "hits": 66 }, { "id": 5234, "url": "https://svs.gsfc.nasa.gov/5234/", "result_type": "Visualization", "release_date": "2024-03-12T00:00:00-04:00", "title": "AIRS Global Carbon Dioxide (CO₂) measurements (2002-October 2023)", "description": "Data visualization showing the global distribution and variation of the concentration of mid-tropospheric carbon dioxide observed by the Atmospheric Infrared Sounder (AIRS) on the NASA Aqua spacecraft over a 20 year timespan.", "hits": 179 }, { "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": 714 }, { "id": 5209, "url": "https://svs.gsfc.nasa.gov/5209/", "result_type": "Visualization", "release_date": "2024-01-12T11:00:00-05:00", "title": "Zonal Climate Anomalies 1880-2023", "description": "A visualization of zonal temperature anomalies. The latitude zones are 90N-64N, 64N-44N, 44N-24N, 24N-EQU, EQU-24S, 24S-44S, 44S-64S, 64S-90S. The anomalies are calculated relative to a baseline period of 1951-1980. This version is in Celsius, an alternate version in Fahrenheit is also available. || GISTEMP_Zonal_1880-2023_C.00840_print.jpg (1024x576) [43.1 KB] || GISTEMP_Zonal_1880-2023_C.00840_searchweb.png (320x180) [18.0 KB] || GISTEMP_Zonal_1880-2023_C.00840_thm.png (80x40) [2.5 KB] || GISTEMP_Zonal_1880-2023_C.mp4 (3840x2160) [20.2 MB] || degC (3840x2160) [0 Item(s)] || GISTEMP_Zonal_1880-2023_C.mp4.hwshow || ", "hits": 134 }, { "id": 5191, "url": "https://svs.gsfc.nasa.gov/5191/", "result_type": "Visualization", "release_date": "2023-11-16T00:00:00-05:00", "title": "Global Temperature Graph 1880-2024", "description": "The seasonal cycle of average temperature variation on the earth's surface.", "hits": 465 }, { "id": 5190, "url": "https://svs.gsfc.nasa.gov/5190/", "result_type": "Visualization", "release_date": "2023-11-15T00:00:00-05:00", "title": "NASA Climate Spiral 1880-Present", "description": "The NASA climate spiral visualization of the GISTEMP global temperature record.", "hits": 1635 }, { "id": 5161, "url": "https://svs.gsfc.nasa.gov/5161/", "result_type": "Visualization", "release_date": "2023-09-14T11:00:00-04:00", "title": "Summer 2023 Record High Global Temperatures", "description": "This 'map shows monthly temperature anomalies measure from 1880 to August 2023 measured with respect to a the baseline period 1951-1980.Versions are provided in both English and Spanish. || GISTEMP_Summer2023_English_2160p30.00899_print.jpg (1024x576) [191.0 KB] || GISTEMP_Summer2023_English_2160p30.00899_searchweb.png (320x180) [74.2 KB] || GISTEMP_Summer2023_English_2160p30.00899_thm.png (80x40) [7.1 KB] || GISTEMP_Summer2023_English_1080p30.mp4 (1920x1080) [35.8 MB] || GISTEMP_Summer2023_Spanish_2160p30.mp4 (3840x2160) [36.2 MB] || gistemp-summer2023-english (3840x2160) [901 Item(s)] || GISTEMP_Summer2023_English_2160p30.mp4 (3840x2160) [106.5 MB] || GISTEMP_Summer2023_Spanish_2160p30.mp4.hwshow [113 bytes] || GISTEMP_Summer2023_English_2160p30.hwshow || GISTEMP_Summer2023_English_1080p30.mp4.hwshow [137 bytes] || ", "hits": 206 }, { "id": 5137, "url": "https://svs.gsfc.nasa.gov/5137/", "result_type": "Visualization", "release_date": "2023-08-14T11:05:00-04:00", "title": "July 2023 Record High Global Temperatures", "description": "Monthly temperature anomalies measure from 1880 to July 2023 measured with respect to a the baseline period 1951-1980. This graph includes the seasonal cycle (from MERRA2) showing that July 2023 was the warmest month on record. Temperatures measured in Celsius, a Fahrenheit version of this graph is also available. || GISTEMP_Curves_July2023_1080p60.01800_print.jpg (1024x576) [164.8 KB] || GISTEMP_Curves_July2023_1080p60.01800_searchweb.png (320x180) [48.1 KB] || GISTEMP_Curves_July2023_1080p60.01800_thm.png (80x40) [4.1 KB] || GISTEMP_Curves_July2023_1080p60.mp4 (1920x1080) [38.8 MB] || GISTEMP_Curves_July2023_C_2160p60.mp4 (3840x2160) [105.6 MB] || ", "hits": 148 }, { "id": 5100, "url": "https://svs.gsfc.nasa.gov/5100/", "result_type": "Visualization", "release_date": "2023-04-25T00:00:00-04:00", "title": "ICESat-2 Sea Ice Thickness 2023", "description": "A view of the Arctic Ocean with ICESat-2 monthly average sea ice thickness data from November 2018 to April 2022. Low values are depicted in light blue, and higher values (5 meters) are depicted in magenta.", "hits": 58 }, { "id": 5081, "url": "https://svs.gsfc.nasa.gov/5081/", "result_type": "Visualization", "release_date": "2023-03-07T00:00:00-05:00", "title": "National Carbon Dioxide (CO₂) budgets inferred from atmospheric observations", "description": "National yearly carbon dioxide (CO₂) budgets for over 100 countries around the world for the period 2015-2020. || NationalCO2Budgets_Light_1080x1920_30fps_358.png (1080x1920) [1.4 MB] || NationalCO2Budgets_Light_1080x1920.mp4 (1080x1920) [12.3 MB] || NationalCarbonDioxideBudget_Light (1080x1920) [0 Item(s)] || NationalCO2Budgets_Light_1080x1920.webm (1080x1920) [1.4 MB] || ", "hits": 185 }, { "id": 5022, "url": "https://svs.gsfc.nasa.gov/5022/", "result_type": "Visualization", "release_date": "2023-02-24T16:00:00-05:00", "title": "OCO-2 Gridded Global Carbon Dioxide (CO₂)", "description": "Data visualization of global carbon dioxide (CO₂) for the period January 2015-February 2022, showcasing data from NASA's Obriting Carbon Observatory 2 (OCO-2) Gridded/Level 3 product. || oco2_3840x2160p60.1618_print.jpg (1024x576) [112.6 KB] || oco2_3840x2160p60.1618.png (3840x2160) [6.1 MB] || oco2_3840x2160p60.1618_print_searchweb.png (320x180) [53.9 KB] || oco2_3840x2160p60.1618_print_thm.png (80x40) [4.4 KB] || Composite (3840x2160) [0 Item(s)] || Composite (3840x2160) [0 Item(s)] || oco2_3840x2160p30.mp4 (3840x2160) [46.0 MB] || oco2_3840x2160_p60.mp4 (3840x2160) [45.1 MB] || oco2_3840x2160_p60.webm (3840x2160) [13.5 MB] || ", "hits": 203 }, { "id": 5024, "url": "https://svs.gsfc.nasa.gov/5024/", "result_type": "Visualization", "release_date": "2023-01-31T22:00:00-05:00", "title": "20 years of AIRS Global Carbon Dioxide (CO₂) measurements (2002-October 2022)", "description": "Data visualization of global carbon dioxide (CO₂) for the period September 2002-October 2022, showcasing data products from NASA's Aqua mission. Data visualization assets are designed for HD resolution. || co2airs_60South_1920x108030p.0794_print.jpg (1024x576) [170.8 KB] || 60South_exr (1920x1080) [0 Item(s)] || co2airs_60South_1920x1080p30.mp4 (1920x1080) [25.0 MB] || co2airs_60South_1920x108030p.0794.exr (1920x1080) [5.5 MB] || co2airs_60South_1920x1080p30.webm (1920x1080) [3.0 MB] || co2airs_60South_1920x1080p30.mp4.hwshow [194 bytes] || ", "hits": 144 }, { "id": 5057, "url": "https://svs.gsfc.nasa.gov/5057/", "result_type": "Visualization", "release_date": "2023-01-12T11:00:00-05:00", "title": "NASA Climate Spiral 1880-2022", "description": "The NASA climate spiral 1880-2022. This version is in Celsius; see below for an alternate version in Fahrenheit. Both a 30 fps, 60 second duration video and 60 fps, 30 second duration video are available. || GISTEMP_Spiral_60sec_C.01400_print.jpg (1024x1024) [283.8 KB] || GISTEMP_Spiral_60sec_C.01400_searchweb.png (180x320) [92.9 KB] || GISTEMP_Spiral_60sec_C.01400_thm.png (80x40) [6.6 KB] || GISTEMP_Spiral_30sec_C.mp4 (2160x2160) [20.3 MB] || GISTEMP_Spiral_60sec_C.mp4 (2160x2160) [38.3 MB] || GISTEMP_Spiral_60sec_C.webm (2160x2160) [8.2 MB] || C (2160x2160) [0 Item(s)] || ", "hits": 204 }, { "id": 5059, "url": "https://svs.gsfc.nasa.gov/5059/", "result_type": "Visualization", "release_date": "2023-01-12T11:00:00-05:00", "title": "Zonal Climate Anomalies 1880-2022", "description": "A visualization of zonal temperature anomalies. The latitude zones are 90N-64N, 64N-44N, 44N-24N, 24N-EQU, EQU-24S, 24S-44S, 44S-64S, 64S-90S. The anomalies are calculated relative to a baseline period of 1951-1980. This version is in Fahrenheit, an alternate version in Celsius is also available. || GISTEMP_Zonal_F.00899_print.jpg (1024x576) [52.2 KB] || GISTEMP_Zonal_F.00899_searchweb.png (320x180) [21.1 KB] || GISTEMP_Zonal_F.00899_thm.png (80x40) [2.9 KB] || GISTEMP_Zonal_F.mp4 (3840x2160) [27.3 MB] || GISTEMP_Zonal_F.webm (3840x2160) [6.2 MB] || F (3840x2160) [0 Item(s)] || ", "hits": 77 }, { "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": 230 }, { "id": 5025, "url": "https://svs.gsfc.nasa.gov/5025/", "result_type": "Visualization", "release_date": "2022-09-14T17:30:00-04:00", "title": "20 years of AIRS Global Carbon Dioxide (CO₂) measurements (2002-May 2022)", "description": "Data visualization of global carbon dioxide (CO₂) for the period September 2002-May 2022, showcasing data products from NASA's Aqua mission. 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This version is created with a dark background. || MethaneTrends_Dark_3840x216030p.1512_print.jpg (1024x576) [44.0 KB] || MethaneTrends_Dark_3840x216030p.1512.png (3840x2160) [508.9 KB] || MethaneTrends_Dark_3840x216030p.1512_searchweb.png (180x320) [13.1 KB] || MethaneTrends_Dark_3840x216030p.1512_thm.png (80x40) [2.2 KB] || MethaneTrends_Dark_3840x216030p.1512_web.png (320x180) [13.1 KB] || MethaneTrends_Dark_1080p30.mp4 (1920x1080) [3.7 MB] || MethaneTrends_Dark_1080p30.webm (1920x1080) [4.6 MB] || MethaneTrends_Dark (3840x2160) [0 Item(s)] || MethaneTrends_Dark_3840x216030p.mp4 (3840x2160) [16.4 MB] || MethaneTrends_Dark_3840x216030p.1512.exr (3840x2160) [886.5 KB] || ", "hits": 87 }, { "id": 4990, "url": "https://svs.gsfc.nasa.gov/4990/", "result_type": "Visualization", "release_date": "2022-05-28T00:00:00-04:00", "title": "20 years of AIRS Global Carbon Dioxide (CO₂) measurements (2002- March 2022)", "description": "Data visualization of global carbon dioxide (CO2) for the period September 2002-March 2022, showcasing data products from NASA's Aqua mission. Data visualization assets are designed for HD resolution. || co2airs_60South_1920x108030p.0771.png (1920x1080) [1.8 MB] || co2airs_60South_1920x1080p30.mp4 (1920x1080) [24.2 MB] || composite_60South (1920x1080) [0 Item(s)] || co2airs_60South_1920x1080p30.webm (1920x1080) [2.9 MB] || co2airs_60South_1920x1080p30.mp4.hwshow [228 bytes] || ", "hits": 89 }, { "id": 4988, "url": "https://svs.gsfc.nasa.gov/4988/", "result_type": "Visualization", "release_date": "2022-04-08T00:00:00-04:00", "title": "ICESat-2 Sea Ice Thickness 2022", "description": "A view of the Arctic Ocean with ICESat-2 monthly average sea ice thickness data from November 2018 to April 2021. Low values are depicted in light blue, and higher values (5 meters) are depicted in magenta. || sea_ice_thickness_2022.1000_print.jpg (1024x576) [159.6 KB] || sea_ice_thickness_2022.1000_searchweb.png (320x180) [74.6 KB] || sea_ice_thickness_2022.1000_thm.png (80x40) [6.1 KB] || sea_ice_thickness_2022_1080p30.mp4 (1920x1080) [27.3 MB] || sea_ice_thickness_2022_1080p30.webm (1920x1080) [3.9 MB] || sea_ice_2022 (5760x3240) [0 Item(s)] || sea_ice_thickness_2022_2160p30.mp4 (3840x2160) [66.4 MB] || ", "hits": 63 }, { "id": 4978, "url": "https://svs.gsfc.nasa.gov/4978/", "result_type": "Visualization", "release_date": "2022-03-07T23:00:00-05:00", "title": "Zonal Climate Anomalies", "description": "A visualization of zonal temperature anomalies. The latitude zones are 90N-64N, 64N-44N, 44N-24N, 24N-EQU, EQU-24S, 24S-44S, 44S-64S, 64S-90S. The anomalies are calculated relative to a baseline period of 1951-1980. || GISTEMP_Zonal_2022-02-11_1520.01418_print.jpg (1024x576) [44.0 KB] || GISTEMP_Zonal_2022-02-11_1520.01418_searchweb.png (320x180) [18.9 KB] || GISTEMP_Zonal_2022-02-11_1520.01418_thm.png (80x40) [2.6 KB] || GISTEMP_Zonal_2022-02-11_1520.mp4 (1920x1080) [10.6 MB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || GISTEMP_Zonal_2022-02-11_1520.webm (1920x1080) [5.5 MB] || GISTEMP_Zonal_2022-02-11_1520.mp4.hwshow || ", "hits": 63 }, { "id": 4975, "url": "https://svs.gsfc.nasa.gov/4975/", "result_type": "Visualization", "release_date": "2022-03-07T22:00:00-05:00", "title": "GISTEMP Climate Spiral", "description": "The GISTEMP climate spiral 1880-2021. This version is in Celsius, see below for an alternate version in Fahrenheit. || GISTEMP_Spiral_2022-03-06_2257.01710_print.jpg (1024x576) [122.0 KB] || GISTEMP_Spiral_2022-03-06_2257.01710_searchweb.png (320x180) [43.9 KB] || GISTEMP_Spiral_2022-03-06_2257.01710_thm.png (80x40) [3.6 KB] || GISTEMP_Spiral_2022-03-06_1851_1080sq.mp4 (1080x1080) [21.6 MB] || GISTEMP_Spiral_2022-03-06_1851_1080sq.webm (1080x1080) [8.0 MB] || GISTEMP_Spiral_2022-03-06_2257.mp4 (3840x2160) [33.0 MB] || 3840x2160_16x9_30p (3840x2160) [0 Item(s)] || GISTEMP_Spiral.hwshow [112 bytes] || ", "hits": 313 }, { "id": 4964, "url": "https://svs.gsfc.nasa.gov/4964/", "result_type": "Visualization", "release_date": "2022-01-13T00:00:00-05:00", "title": "Global Temperature Anomalies from 1880 to 2021", "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 2017-2021. Scale in degrees Fahrenheit. || 2021f-TemperatureAnomalyF.0900_print.jpg (1024x576) [164.1 KB] || 2021f-TemperatureAnomalyF.0900_searchweb.png (180x320) [74.9 KB] || 2021f-TemperatureAnomalyF.0900_thm.png (80x40) [14.4 KB] || 2021f-TemperatureAnomalyF.0900.tif (1920x1080) [1.6 MB] || 2021GISStempF-5yrAvg.mp4 (1920x1080) [41.1 MB] || fahrenheit (1920x1080) [0 Item(s)] || 2021GISStempF-5yrAvg.webm (1920x1080) [3.4 MB] || 2021TempAnomalyF_GISSTEMP_1080p30.mp4.hwshow || ", "hits": 445 }, { "id": 31168, "url": "https://svs.gsfc.nasa.gov/31168/", "result_type": "Hyperwall Visual", "release_date": "2021-12-13T00:00:00-05:00", "title": "What NASA Knows from Decades of Earth System Observations", "description": "Karen St. Germain, NASA's Director of Earth Science, gave this presentation to the 2021 United Nations Climate Change ConferenceWatch this video on the NASA Goddard YouTube channel. || KarenStGermain_4k_COP26_Presentation_Final_103850_print.jpg (1024x576) [143.2 KB] || KarenStGermain_4k_COP26_Presentation_Final_103850_searchweb.png (320x180) [87.7 KB] || KarenStGermain_4k_COP26_Presentation_Final_103850_thm.png (80x40) [6.7 KB] || KarenStGermain_HD_COP26_Presentation_Final.webm (1920x1080) [106.3 MB] || KarenStGermain_HD_COP26_Presentation_Final.mp4 (1920x1080) [1008.1 MB] || KarenStGFinal (3840x2160) [0 Item(s)] || transcript_StGermain.en_US.srt [13.6 KB] || transcript_StGermain.en_US.vtt [13.2 KB] || KarenStGermain_4k_COP26_Presentation_Final.mp4 (3840x2160) [7.6 GB] || ", "hits": 55 }, { "id": 4913, "url": "https://svs.gsfc.nasa.gov/4913/", "result_type": "Visualization", "release_date": "2021-07-29T19:00:00-04:00", "title": "ICESat-2 Maps Subglacial Lakes in Antarctica", "description": "Data visualization featuring precise map of Mercer and Conway subglacial lakes in West Antarctica. The visualization sequence starts with a view of the Americas and slowly zooms into the suture between the Mercer and Whillans ice streams. Surface-height anomaly data from NASA's ICESat-2 mission provide critical insight for the drain-fill cycles of subglacial lakes and aid in the discovery of two new water bodies within the same region. This data-driven visualization includes labels of ice formations close to the area of interest and repeats playback of the segment of the subglacial lakes surface-height anomalies. || SubglacialLakesCompositex2_4K60fps_0904_print.jpg (1024x576) [88.8 KB] || SubglacialLakesCompositex2_4K60fps_0904.png (3840x2160) [5.9 MB] || Compositex2 (1920x1080) [0 Item(s)] || SubglacialLakesCompositex2_HD60fps.mp4 (1920x1080) [58.4 MB] || SubglacialLakesCompositex2_1080p30.mp4 (1920x1080) [53.8 MB] || SubglacialLakesCompositex2_HD60fps.webm (1920x1080) [6.9 MB] || Compositex2_4K (3840x2160) [0 Item(s)] || SubglacialLakesCompositex2_4K60fps.mp4 (3840x2160) [58.5 MB] || SubglacialLakesCompositex2_4K30fps.mp4 (3840x2160) [182.4 MB] || SubglacialLakesCompositex2_1080p30.mp4.hwshow [200 bytes] || ", "hits": 137 }, { "id": 4908, "url": "https://svs.gsfc.nasa.gov/4908/", "result_type": "Visualization", "release_date": "2021-06-30T11:00:00-04:00", "title": "Climate Drivers", "description": "Data visualization of human and natural drivers of climate change for the period 1850-2018, showcasing data products from NASA's GISS Model E 2.1-G and observations.Dr. Gavin Schmidt uses this visual to explain NASA's role in tracking and predicting climate at the 2021 COP26 conference - https://www.youtube.com/watch?v=CCAcKuJaJOg. || ClimateDrivers_3840x2160_30fps_923_print.jpg (1024x576) [106.7 KB] || ClimateDrivers_3840x2160_30fps_923_searchweb.png (320x180) [44.7 KB] || ClimateDrivers_3840x2160_30fps_923_thm.png (80x40) [4.9 KB] || ClimateDrivers_1080p30.mp4 (1920x1080) [13.2 MB] || ClimateDrivers_1080p30.webm (1920x1080) [3.6 MB] || Composite (3840x2160) [0 Item(s)] || ClimateDrivers_3840x2160p30.mp4 (3840x2160) [36.1 MB] || ClimateDrivers_3840x2160_30fps_923.tif (3840x2160) [31.7 MB] || ClimateDrivers_1080p30.mp4.hwshow || ", "hits": 191 }, { "id": 4849, "url": "https://svs.gsfc.nasa.gov/4849/", "result_type": "Visualization", "release_date": "2021-04-19T09:30:00-04:00", "title": "Godzilla Dust Storm", "description": "Visualization of the Godzilla Dust Storm during June 2020. || GodzillaShot1_1920x1080_60fps_2222_print.jpg (1024x576) [259.0 KB] || GodzillaShot1_1920x1080_60fps_2222_searchweb.png (320x180) [117.7 KB] || GodzillaShot1_1920x1080_60fps_2222_thm.png (80x40) [8.7 KB] || GlobalView (1920x1080) [0 Item(s)] || GlobalView (1920x1080) [0 Item(s)] || GodzillaShot1_1920x1080_60fps_2222.tif (1920x1080) [10.2 MB] || GodzillaShot1_1920x1080p30.webm (1920x1080) [8.7 MB] || GodzillaShot1_1920x1080p30.mp4 (1920x1080) [115.7 MB] || GlobalView (3840x2160) [0 Item(s)] || GodzillaShot1_3840x2160_60fps_2222.tif (3840x2160) [38.1 MB] || GlobalView (3840x2160) [0 Item(s)] || GodzillaShot1_3840x2160p30.mp4 (3840x2160) [377.9 MB] || GodzillaShot1_3840x2160p60.mp4 (3840x2160) [425.4 MB] || GodzillaShot1_1920x1080p30.mp4.hwshow [192 bytes] || ", "hits": 228 }, { "id": 4895, "url": "https://svs.gsfc.nasa.gov/4895/", "result_type": "Visualization", "release_date": "2021-04-19T09:30:00-04:00", "title": "Historical Atlantic Multidecadal Oscillation (AMO)", "description": "Visualization of Sea Surface Temperature (SST) Anomaly with corresponding timeplot tracking the Atlantic Multidecadal Oscillation (AMO) Index over the North Atlantic (0-80N) for the period of 1900-2005. || HistoricalAMO_1920x1080.60fps_2480.png (1920x1080) [1.2 MB] || HistoricalAMO_1920x1080.60fps_2480_print.jpg (1024x576) [88.9 KB] || HistoricalAMO_3840x2160.60fps_2480.png (3840x2160) [3.6 MB] || HistoricalAMO_1920x1080.60fps_2480_searchweb.png (320x180) [43.1 KB] || HistoricalAMO_1920x1080.60fps_2480_thm.png (80x40) [4.8 KB] || HistoricalAMO (1920x1080) [0 Item(s)] || HistoricalAMO (1920x1080) [0 Item(s)] || HistoricalAMO_1920x1080p60.mp4 (1920x1080) [19.0 MB] || HistoricalAMO_1920x1080p30.mp4 (1920x1080) [24.0 MB] || HistoricalAMO (3840x2160) [0 Item(s)] || HIstoricAMOComposite_3840x2160p30.webm (3840x2160) [7.8 MB] || HistoricalAMO_3840x2160p60.mp4 (3840x2160) [155.5 MB] || HIstoricAMOComposite_3840x2160p30.mp4 (3840x2160) [186.8 MB] || ", "hits": 172 }, { "id": 4882, "url": "https://svs.gsfc.nasa.gov/4882/", "result_type": "Visualization", "release_date": "2021-01-14T11:00:00-05:00", "title": "Global Temperature Anomalies from 1880 to 2020", "description": "This color-coded map in Robinson projection displays a progression of changing global surface temperature anomalies. Normal temperatures are the average over the 30 year baseline period 1951-1980. Higher than normal temperatures are shown in red and lower than normal temperatures are shown in blue. The final frame represents the 5 year global temperature anomalies from 2016-2020. Scale in degrees Celsius. || print_cel2020_00000_print.jpg (1024x576) [184.6 KB] || print_cel2020_00000_searchweb.png (320x180) [71.3 KB] || print_cel2020_00000_thm.png (80x40) [6.5 KB] || GISSTEMP_celsius_fade_composite.mp4 (1920x1080) [69.1 MB] || GISSTEMP_celsius_fade_composite.webm (1920x1080) [3.4 MB] || print_cel2020_00000.tif (3840x2160) [23.7 MB] || ", "hits": 535 }, { "id": 4834, "url": "https://svs.gsfc.nasa.gov/4834/", "result_type": "Visualization", "release_date": "2020-08-31T11:00:00-04:00", "title": "First Global Survey of Glacial Lakes Shows 30-Years of Dramatic Growth", "description": "Data visualization featuring the glacier rich region of the Himalayas, along with many of Earth’s highest peaks. The visualization sequence starts with a wide view of the Tibetan plateau and moves along a hiking path highlighting Mt. Everest, Mt. Lhotse, Mt Nuptse, the Everest Base Camp, the Khumbhu glacier, all the way to Imja Lake. Moving to a top-down view of Imja Lake, a time series of Landsat data unveils its dramatic growth for the period 1989-2019.This video is also available on our YouTube channel. || imja_final_4k.4600_print.jpg (1024x576) [114.8 KB] || imja_final_4k.4600_searchweb.png (320x180) [101.5 KB] || imja_final_4k.4600_web.png (320x180) [101.5 KB] || imja_final_4k.4600_thm.png (80x40) [7.5 KB] || imja_final_HD_1080p60.mp4 (1920x1080) [72.9 MB] || 1920x1080_16x9_60p (1920x1080) [0 Item(s)] || imja_final_HD_1080p60.webm (1920x1080) [19.7 MB] || with_cities (3840x2160) [0 Item(s)] || captions_silent.30013.en_US.srt [43 bytes] || imja_final_4k_2160p60.mp4 (3840x2160) [215.1 MB] || imja_final_2160p60_prores.mov (3840x2160) [16.9 GB] || ", "hits": 91 }, { "id": 13699, "url": "https://svs.gsfc.nasa.gov/13699/", "result_type": "Produced Video", "release_date": "2020-08-31T11:00:00-04:00", "title": "Tracking Three Decades of Dramatic Glacial Lake Growth", "description": "Music: \"Dew\" by Matthew Nicholson [PRS], Suki Jeanette Finn [PRS]This video can be freely shared and downloaded. While the video in its entirety can be shared without permission, some individual imagery provided by pond5.com is obtained through permission and may not be excised or remixed in other products. Specific details on stock footage may be found here. For more information on NASA’s media guidelines, visit https://www.nasa.gov/multimedia/guidelines/index.html.Complete transcript available. || ImjaLake.jpg (1920x1080) [1.2 MB] || ImjaLake_print.jpg (1024x576) [382.8 KB] || ImjaLake_searchweb.png (320x180) [109.6 KB] || ImjaLake_web.png (320x180) [109.6 KB] || ImjaLake_thm.png (80x40) [7.5 KB] || 13699_GlacierLake820.mov (1920x1080) [1.9 GB] || 13699_GlacierLake820.mp4 (1920x1080) [138.4 MB] || 13699_GlacierLake820.webm (1920x1080) [15.0 MB] || GlacierLake820.en_US.srt [2.1 KB] || GlacierLake820.en_US.vtt [2.1 KB] || ", "hits": 79 }, { "id": 4796, "url": "https://svs.gsfc.nasa.gov/4796/", "result_type": "Visualization", "release_date": "2020-04-30T14:00:00-04:00", "title": "Land Ice Height Change Between ICESat and ICESat-2", "description": "This visualization depicts changes in Antarctic land ice thickness as measured by the ICESat (2003-2009) and ICESat-2 (2018-) satellites. The camera zooms into a region near the Kamb ice stream to compare ICESat and ICESat-2 beam tracks. The beam intersections are highlighted to explain how the data at these points are used to measure how land ice has changed over time. After exploring a few regions in detail, the camera moves out to a global view and an ocean temperature dataset is revealed. || land_ice_antarctica.2870_print.jpg (1024x576) [70.5 KB] || land_ice_antarctica.2870_searchweb.png (320x180) [61.2 KB] || land_ice_antarctica_1080p30.mp4 (1920x1080) [48.6 MB] || land_ice_antarctica_1080p30.webm (1920x1080) [8.8 MB] || land_ice_antarctica (3840x2160) [0 Item(s)] || land_ice_antarctica (5760x3240) [0 Item(s)] || land_ice_antarctica_2160p30.mp4 (3840x2160) [129.9 MB] || land_ice_antarctica_1080p30.mp4.hwshow || ", "hits": 88 }, { "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": 47 }, { "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": 26 }, { "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": 42 }, { "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": 40 }, { "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": 44 }, { "id": 4787, "url": "https://svs.gsfc.nasa.gov/4787/", "result_type": "Visualization", "release_date": "2020-01-15T11:00:00-05:00", "title": "Global Temperature Anomalies from 1880 to 2019", "description": "This color-coded map in Robinson projection displays a progression of changing global surface temperature anomalies. Normal temperatures are the average over the 30 year baseline period 1951-1980. Higher than normal temperatures are shown in red and lower than normal temperatures are shown in blue. The final frame represents the 5 year global temperature anomalies from 2015-2019. Scale in degrees Celsius. || CelsiusRobinson_0889_print.jpg (1024x576) [111.8 KB] || CelsiusRobinson_0889_searchweb.png (320x180) [79.4 KB] || CelsiusRobinson_0889_thm.png (80x40) [7.1 KB] || CelsiusRobinson2019update_1080p30.mp4 (1920x1080) [19.0 MB] || RobinsonCelsiusSequenceComposite (1920x1080) [0 Item(s)] || CelsiusRobinson2019update_1080p30.webm (1920x1080) [3.7 MB] || Celsius_UHD_composite (3840x2160) [0 Item(s)] || GISSTEMP2019_Celsius_UHD_2160p30.mp4 (3840x2160) [69.3 MB] || CelsiusRobinson2019update_1080p30.mp4.hwshow [238 bytes] || ", "hits": 229 }, { "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": 89 }, { "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": 83 }, { "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": 111 }, { "id": 4750, "url": "https://svs.gsfc.nasa.gov/4750/", "result_type": "Visualization", "release_date": "2019-09-30T12:00:00-04:00", "title": "Weekly Arctic Sea Ice Age with Graph of Ice Age By Area: 1984 - 2019", "description": "This visualization shows the age of the Arctic sea ice between 1984 and 2019. Younger sea ice, or first-year ice, is shown in a dark shade of blue while the ice that is four years old or older is shown as white. A graph displayed in the upper left corner quantifies the area covered sea ice 4 or more years old in millions of square kilometers.This video is also available on our YouTube channel. || IceAge_2019_comp_withGraph.3714_print.jpg (1024x576) [124.7 KB] || IceAge_2019_comp_withGraph.3714_searchweb.png (320x180) [71.6 KB] || IceAge_2019_comp_withGraph.3714_thm.png (80x40) [6.3 KB] || IceAge_2019_comp_withGraph_1080p30.mp4 (1920x1080) [90.9 MB] || IceAge_2019_comp_withGraph_1080p30.webm (1920x1080) [14.9 MB] || iceAge_withGraph (3840x2160) [0 Item(s)] || captions_silent.27894.en_US.srt [43 bytes] || IceAge_2019_comp_withGraph_2160p30.mp4 (3840x2160) [255.2 MB] || IceAge_2019_comp_withGraph_1080p30.mp4.hwshow [200 bytes] || ", "hits": 228 }, { "id": 4734, "url": "https://svs.gsfc.nasa.gov/4734/", "result_type": "Visualization", "release_date": "2019-09-06T00:00:00-04:00", "title": "Measuring Sea Ice Thickness with ICESat-2", "description": "This visualization depicts sea ice thickness in the Arctic Ocean as measured by ICESat-2 over the course of several months. The visualization begins with a global view of the north pole as individual tracks are drawn over time representing each time the satellite passes overhead and collects sea ice data. A closeup view of one track is revealed, showing how the ICESat-2 laser can measure ice freeboard (height above sea level), which can be used to calculate total ice thickness. The visualization concludes by showing monthly average of sea ice thickness from November 2018 to March 2019. || sea_ice_thickness_comp_0665_print.jpg (1024x576) [89.1 KB] || sea_ice_thickness_comp_0665_searchweb.png (320x180) [59.6 KB] || sea_ice_thickness_comp_0665_thm.png (80x40) [5.1 KB] || ICESat-2_sea_ice_thickness_1080p30.mp4 (1920x1080) [62.7 MB] || ICESat-2_sea_ice_thickness_1080p30.webm (1920x1080) [10.1 MB] || sea_ice_comp (3840x2160) [0 Item(s)] || ICESat-2_sea_ice_thickness_2160p30.mp4 (3840x2160) [173.8 MB] || ICESat-2_sea_ice_thickness_1080p30.mp4.hwshow || ", "hits": 52 }, { "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": 29 }, { "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": 380 }, { "id": 4626, "url": "https://svs.gsfc.nasa.gov/4626/", "result_type": "Visualization", "release_date": "2019-02-06T11:00:00-05:00", "title": "Global Temperature Anomalies from 1880 to 2018", "description": "This color-coded map in Robinson projection displays a progression of changing global surface temperature anomalies from 1880 through 2018. 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 2014 through 2018. Scale in degree Celsius. || 2018HD_celsius_0900_print.jpg (1024x576) [126.0 KB] || 2018HD_celsius_0900_searchweb.png (320x180) [79.1 KB] || 2018HD_celsius_0900_thm.png (80x40) [7.4 KB] || 2018HD_celsius_1080p30.mp4 (1920x1080) [20.7 MB] || celsius_robinson (1920x1080) [0 Item(s)] || 2018HD_celsius_1080p30.webm (1920x1080) [4.2 MB] || celsius (5760x3240) [0 Item(s)] || celsius_composite (5760x3240) [0 Item(s)] || ", "hits": 157 }, { "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": 120 }, { "id": 4609, "url": "https://svs.gsfc.nasa.gov/4609/", "result_type": "Visualization", "release_date": "2018-01-18T10:30:00-05:00", "title": "Global Temperature Anomalies from 1880 to 2017", "description": "This color-coded map in Robinson projection displays a progression of changing global surface temperature anomalies from 1880 through 2017. 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 2013 through 2017. Scale in degree Celsius.This video is also available on our YouTube channel. || gistemp2017_celsius_1072_print.jpg (1024x576) [114.7 KB] || gistemp2017_celsius_1072_searchweb.png (320x180) [74.8 KB] || gistemp2017_celsius_1072_thm.png (80x40) [7.2 KB] || gistemp2017_celsius_wDatesColorbar (1920x1080) [0 Item(s)] || gistemp2017_celsius_1080p30.mp4 (1920x1080) [36.8 MB] || gistemp2017_celsius_1080p30.webm (1920x1080) [4.1 MB] || gistemp2017_celsius_PrintStill.tif (1920x1080) [7.9 MB] || gistemp2017_celsius_wDatesColorbar_4k (3840x2160) [0 Item(s)] || gistemp2017_celsius_4k_2160p30.mp4 (3840x2160) [136.7 MB] || gistemp2017_celsius_1080p30.mp4.hwshow [193 bytes] || ", "hits": 286 }, { "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": 209 }, { "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": 143 }, { "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": 110 }, { "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": 235 }, { "id": 4328, "url": "https://svs.gsfc.nasa.gov/4328/", "result_type": "Visualization", "release_date": "2015-08-25T00:00:00-04:00", "title": "Greenland's Glaciers as seen by RadarSat", "description": "An animation up the Greenland's Sermilik Fjord to the calving front of the Helheim Glacier, showing the glacier front's change between 2000 to 2013This video is also available on our YouTube channel. || Helheim_radarsat_4k.0800_print.jpg (1024x576) [242.6 KB] || Helheim_radarsat_4k.0800_searchweb.png (180x320) [121.8 KB] || Helheim_radarsat_4k.0800_web.png (320x180) [121.8 KB] || Helheim_radarsat_4k.0800_thm.png (80x40) [7.6 KB] || Helheim_radarsat_4k_1080p30.mp4 (1920x1080) [84.5 MB] || Helheim_radarsat_4k_720p30.mp4 (1280x720) [43.3 MB] || Helheim_radarsat_4k_2160p30.webm (3840x2160) [16.2 MB] || Helheim (3840x2160) [256.0 KB] || Helheim_radarsat_4k_2160p30.mp4 (3840x2160) [225.6 MB] || ", "hits": 37 }, { "id": 30615, "url": "https://svs.gsfc.nasa.gov/30615/", "result_type": "Hyperwall Visual", "release_date": "2015-07-21T00:00:00-04:00", "title": "How Global Warming Stacks Up", "description": "Full series of graphs, all in one animation || full_series_4k_print.jpg (1024x574) [51.4 KB] || full_series_1080p.mp4 (1920x1080) [5.9 MB] || full_series_720p.mp4 (1280x720) [3.7 MB] || full_series_720p.webm (1280x720) [12.4 MB] || full_series_portugese_1080p.mp4 (1920x1080) [6.5 MB] || full_series_4k.mp4 (4104x2304) [14.1 MB] || full_series_360p.mp4 (640x360) [1.7 MB] || full_series (4104x2304) [0 Item(s)] || how_global_warming_stacks_up_30615.key [22.3 MB] || how_global_warming_stacks_up_30615.pptx [19.8 MB] || ", "hits": 312 }, { "id": 4252, "url": "https://svs.gsfc.nasa.gov/4252/", "result_type": "Visualization", "release_date": "2015-01-16T00:30:00-05:00", "title": "Five-Year Global Temperature Anomalies from 1880 to 2014", "description": "This color-coded map in Robinson projection displays a progression of changing global surface temperature anomalies from 1880 through 2014. Higher than normal temperatures are shown in red and lower then normal termperatures are shown in blue. The final frame represents the global temperatures 5-year averaged from 2010 through 2014. || GISTEMP_2014update.0905_print.jpg (1024x576) [122.2 KB] || GISTEMP_2014update.0905_searchweb.png (320x180) [74.5 KB] || GISTEMP_2014update.0905_thm.png (80x40) [6.7 KB] || composite (1920x1080) [0 Item(s)] || 2014_update_robinson_composite.mp4 (1920x1080) [36.8 MB] || 2014_update_robinson_composite.webm (1920x1080) [3.5 MB] || ", "hits": 137 }, { "id": 4245, "url": "https://svs.gsfc.nasa.gov/4245/", "result_type": "Visualization", "release_date": "2014-12-17T13:00:00-05:00", "title": "Link between Sea-Ice Fraction and Absorbed Solar Radiation over the Arctic Ocean", "description": "NASA satellite instruments have observed a marked increase in solar radiation absorbed in the Arctic since the year 2000 – a trend that aligns with the drastic decrease in Arctic sea ice during the same period. This visual shows the Arctic Sea Ice Change and the corresponding Absorbed Solar Radiation Change during June, July, and August from 2000 through 2014.This video is also available on our YouTube channel. || seaice_solarAbsorption_0344_print.jpg (1024x576) [117.1 KB] || SeaIceSolarAbsorptionChange.webm (1920x1080) [1.2 MB] || 1920x1080_16x9_60p (1920x1080) [0 Item(s)] || SeaIceSolarAbsorptionChange.mp4 (1920x1080) [12.1 MB] || composite (1920x1080) [0 Item(s)] || source (1920x1080) [0 Item(s)] || SeaIceSolarAbsorptionChange.m4v (640x360) [2.1 MB] || ", "hits": 63 }, { "id": 30556, "url": "https://svs.gsfc.nasa.gov/30556/", "result_type": "Hyperwall Visual", "release_date": "2014-12-10T00:00:00-05:00", "title": "Atmospheric CO₂ Trends", "description": "Fossil fuel combustion and other human activities are now increasing the atmospheric carbon dioxide (CO2) abundance to unprecedented rates. It is estimated that approximately 36 billion tons of CO2 are added to the atmosphere each year. The large graph shown here is an animated version of the standard Keeling curve from 1980 to September 2014. The red line denotes ground-based measurements from the Mauna Loa Observatory in Hawaii, while yellow denotes observations from the South Pole Observatory. Purple denotes the global trend. The smaller graph in the upper left shows satellite measurements of tropospheric CO2 concentrations (white dots) at different latitudes from September 2002 to September 2014, obtained by the Atmospheric Infrared Sounder (AIRS) and Advanced Microwave Sounding Unit (AMSU) instruments. Note how the Northern Hemisphere has greater variably and generally higher levels of CO2 than the Southern Hemisphere. In May of 2013, these emissions pushed the monthly average CO2 concentrations above 400 parts per million (ppm)—a level that has not been reached during the past 800,000 years. These ever-increasing levels are raising concerns about greenhouse-gas-induced climate change. || ", "hits": 174 }, { "id": 4233, "url": "https://svs.gsfc.nasa.gov/4233/", "result_type": "Visualization", "release_date": "2014-11-06T00:00:00-05:00", "title": "Aquarius Sea Surface Salinity 2011-2014 - Flat Maps", "description": "Rectangular flat map projection (Atlantic-centered) with grid lines showing Sea Surface Salinity measurements taken by Aquarius between September 2011 and September 2014. || aquarius_sss_3yrs_atlantic_rect_grid0000_print.jpg (1024x576) [136.5 KB] || aquarius_sss_3yrs_atlantic_rect_grid0000_searchweb.png (320x180) [88.6 KB] || aquarius_sss_3yrs_atlantic_rect_grid0000_thm.png (80x40) [7.8 KB] || aquarius_sss_3yrs_atlantic_rect_grid0000_web.png (320x180) [88.6 KB] || aquarius_sss_3yrs_atlantic_rect_grid_1080.mp4 (1920x1080) [24.6 MB] || aquarius_sss_3yrs_atlantic_rect_grid_1080.webmhd.webm (960x540) [8.5 MB] || aquarius_sss_3yrs_atlantic_rect_grid (1920x1080) [0 Item(s)] || ", "hits": 56 }, { "id": 4234, "url": "https://svs.gsfc.nasa.gov/4234/", "result_type": "Visualization", "release_date": "2014-11-06T00:00:00-05:00", "title": "Aquarius Sea Surface Salinity 2011-2014 - Rotating Globes", "description": "3 years of sea surface salinity data displayed on a spinning globe focused on the northern hemisphere with date and color bar || aquarius_sss_3yrs_SpinningGlobe_north0000_print.jpg (1024x576) [55.8 KB] || aquarius_sss_3yrs_SpinningGlobe_north1329_720.webmhd.webm (960x540) [6.4 MB] || aquarius_sss_3yrs_SpinningGlobe_north_1080p.mp4 (1920x1080) [23.4 MB] || aquarius_sss_3yrs_SpinningGlobe_north1329_720.mp4 (1280x720) [11.9 MB] || aquarius_sss_3yrs_SpinningGlobe_north (1920x1080) [0 Item(s)] || ", "hits": 34 }, { "id": 30500, "url": "https://svs.gsfc.nasa.gov/30500/", "result_type": "Hyperwall Visual", "release_date": "2014-05-13T00:00:00-04:00", "title": "Altimetry: Past, Present and Future", "description": "Launched in 1978, Seasat was the first NASA Earth-orbiting satellite mission designed to observe the world’s ocean. Seasat carried five major instruments, including a radar altimeter that measured the distance between the satellite and sea surface, indicating global sea surface height and the topography of the ocean surface. This visualization shows the progression of improved data resolution from satellite altimeters in the past, present, and future, beginning with 1.5-degree resolution data in 1978 from Seasat and ending with 0.05-degree resolution data from NASA’s Surface Water and Ocean Topography (SWOT) mission, planned to launch in 2020. A single satellite (Geosat) provided 0.5-degree resolution data from 1986 to 1990, while numerous international satellite missions (ERS-1, TOPEX/Poseidon, ERS-2, Jason-1, Envisat, and Jason-2) have provided 0.25-degree resolution data from 1992 until now. These measurements and their continuity are important for monitoring large-scale features such as Rossby and Kelvin waves, the evolution of El Niño and La Niña events, and variation of global sea level in relation to climate change. SWOT (with 0.05-degree-resolution) will offer an unprecedented combination of spatial and temporal resolution while continuing and extending the ocean altimeter data record for years to come. || ", "hits": 26 }, { "id": 4149, "url": "https://svs.gsfc.nasa.gov/4149/", "result_type": "Visualization", "release_date": "2014-03-05T00:00:00-05:00", "title": "Hyperwall Show: CMIP5 - 21st Century Temperature and Precipitation Scenarios", "description": "These data visualizations from the NASA Center for Climate Simulation and NASA's Scientific Visualization Studio at Goddard Space Flight Center, Greenbelt, Md., show how climate models used in the new report from the United Nations' Intergovernmental Panel on Climate Change (IPCC) estimate possible temperature and precipitation pattern changes throughout the 21st century. The United Nations' Intergovernmental Panel on Climate Change publishes a report on the consensus view of climate change science about every five to seven years. The first findings of the IPCC's Fifth Assessment Report (AR5) were released on Sept. 27, 2013, in the form of the Summary for Policymakers report and a draft of IPCC Working Group 1's Physical Science Basis. The IPCC does not perform new science but instead authors a report that establishes the established understanding of the world's climate science community.The report not only includes observations of the real world but also the results of climate model projections of how the Earth will respond as a system to rising greenhouse gas concentrations in the atmosphere. The IPCC's AR5 relies on the Coupled Model Intercomparison Project Phase 5 (CMIP5) effort, an international effort among the climate modeling community to coordinate climate change experiments. These visualizations represent the mean output of how certain groups of CMIP5 models responded to four different scenarios defined by the IPCC called Representative Concentration Pathways (RCPs). These four RCPs – 2.6, 4.5, 6 and 8.5 – represent a wide range of potential worldwide greenhouse gas emissions and sequestration scenarios for the coming century. The pathways are numbered based on the expected Watts per square meter – essentially a measure of how much heat energy is being trapped by the climate system – each scenario would produce. The pathways are partly based on the ultimate concentrations of carbon dioxide and other greenhouse gases. The current carbon dioxide concentration in the atmosphere is around 400 parts per million, up from less than 300 parts per million at the end of the 19th century.The carbon dioxide concentrations in the year 2100 for each RCP are:RCP 2.6: 421 ppmRCP 4.5: 538 ppmRCP 6: 670 ppmRCP 8.5: 936 ppmEach visualization represents the mean output of a different number of models for each RCP, because data from all models in the CMIP5 project was not available in the same format for visualization for each RCP. All of the models compare a projection of temperatures and precipitation from 2006-2099 to a baseline historical average from 1971-2000. Thus, the values shown for each year represent the departure for that year compared to the observed average global surface temperature from 1971-2000. The IPCC report used 1986-2005 as a baseline period, making its reported anomalies slightly different from those shown in the visualizations. || ", "hits": 37 }, { "id": 30008, "url": "https://svs.gsfc.nasa.gov/30008/", "result_type": "Hyperwall Visual", "release_date": "2013-03-14T00:00:00-04:00", "title": "Multi-scale Ultra-high Resolution Sea Surface Temperature (MUR)", "description": "These maps are made mostly from the satellite measurements of Sea Surface Temperature (SST), with help from surface observations that come from ships and bouys. Since the 1980's, there are a lot more SST data from satellites than surface observations. SST is invaluable for weather forecasting. But SST is also important for management of fishery, ocean acoustic communication, and the science including studies of climate and marine life. To \"blend\" the SST data from many different satellite is a tricky business. Satellite-based environmental data are usually irregularly sampled and always noisy. Every satellite has a unique sensor that measures SST. The infra-red (IR) type sensor can offer a very high resolution (down to 1 km in horizontal distance) but suffer from contamination by clouds and aerosols that block the signal. The micro-wave (MW) measurements are more reliable because of cloud-penetrating coverage but are coarser (25 km) in resolution and are not useful along the coasts due to contamination from land.So we are interested in making use of the best characteristics of each sensor data — be it resolution or coverage — and finding an optimal and objective ways to fill the data-voids under the clouds and near the coasts. || ", "hits": 376 }, { "id": 4045, "url": "https://svs.gsfc.nasa.gov/4045/", "result_type": "Visualization", "release_date": "2013-02-27T12:00:00-05:00", "title": "Aquarius Sea Surface Salinity Tour 2012", "description": "The Aquarius spacecraft is designed to measure global sea surface salinity. It is important to understand salinity, the amount of dissolved salts in water, because it will lead us to better understanding of the water cycle and can lead to improved climate models. Aquarius is a collaboration between NASA and the Space Agency of ArgentinaThis visualization celebrates over a year of successful Aquarius observations. Sea surface salinity is shown at various locations around the globe highlighting the following:the Atlantic Ocean is generally much more salty than the Pacificlow salinity waters in the Eastern Equatorial Pacific are transported westwardhigh influxes of fresh water from the Amazon River basin can be clearly seenlow salinity waters are transported by the Labrador current to the southhigh influxes of fresh water from the Ganges River basin can be seen keeping the Eastern Indian Ocean lower salinity than the Western Indian OceanThe range of time shown is December 2011 through Decemeber 2012. The data continuously loops through this range every 6 seconds. This visualization was generated based on version 2.0 of the Aquarius data products with all 3 scanning beams. || ", "hits": 76 }, { "id": 3912, "url": "https://svs.gsfc.nasa.gov/3912/", "result_type": "Visualization", "release_date": "2012-03-16T10:00:00-04:00", "title": "Global Sea Surface Currents and Temperature", "description": "This visualization shows sea surface current flows. The flows are colored by corresponding sea surface temperature data. This visualization is rendered for display on very high resolution devices like hyperwalls or for print media.This visualization was produced using model output from the joint MIT/JPL project entitled Estimating the Circulation and Climate of the Ocean, Phase II (ECCO2). ECCO2 uses the MIT general circulation model (MITgcm) to synthesize satellite and in-situ data of the global ocean and sea-ice at resolutions that begin to resolve ocean eddies and other narrow current systems, which transport heat and carbon in the oceans. The ECCO2 model simulates ocean flows at all depths, but only surface flows are used in this visualization. || ", "hits": 419 } ] }