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        {
            "id": 5611,
            "url": "https://svs.gsfc.nasa.gov/5611/",
            "result_type": "Visualization",
            "release_date": "2026-01-30T09:00:00-05:00",
            "title": "Global Mean Sea Level 1993-2025",
            "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.",
            "hits": 553
        },
        {
            "id": 14789,
            "url": "https://svs.gsfc.nasa.gov/14789/",
            "result_type": "Produced Video",
            "release_date": "2025-04-07T11:00:00-04:00",
            "title": "NASA Earth: Powering America's Future",
            "description": "Music: Pacemaker Instrumental (Everitt) via Universal Production MusicThis 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. || 14789_Thumbnail.jpg (1280x720) [156.0 KB] || 14789_Thumbnail_print.jpg (1024x576) [131.1 KB] || 14789_Thumbnail_searchweb.png (320x180) [64.5 KB] || 14789_Thumbnail_web.png (320x180) [64.5 KB] || 14789_Thumbnail_thm.png [5.9 KB] || 14789_NASAEarthPoweringAmericasFuture.mp4 (1920x1080) [274.8 MB] || 14789_NASAEarthPowering.en_US.srt [1.9 KB] || 14789_NASAEarthPowering.en_US.vtt [1.9 KB] || ",
            "hits": 41
        },
        {
            "id": 5516,
            "url": "https://svs.gsfc.nasa.gov/5516/",
            "result_type": "Visualization",
            "release_date": "2025-03-11T00:00:00-04:00",
            "title": "Global Mean Sea Level 1993-2024",
            "description": "This animation shows the rise in global mean sea level from 1993 to 2024 based on data from a series of five international satellites.",
            "hits": 413
        },
        {
            "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": 86
        },
        {
            "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": 79
        },
        {
            "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": 488
        },
        {
            "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": 851
        },
        {
            "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": 779
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        {
            "id": 5017,
            "url": "https://svs.gsfc.nasa.gov/5017/",
            "result_type": "Visualization",
            "release_date": "2022-08-26T00:00:00-04:00",
            "title": "A Decade of Sea Surface Salinity",
            "description": "This data visualization shows sea surface salinity (i.e., ocean salt concentration) over a ten year period (2011 to 2021). Warm colors (orange to yellow) are areas of high salinity/hot tropics. Cooler colors (blue to violet) are fresher waters, many of which can be seen coming from rainy/river/wetter tropics. || salinity_v48_8k.4653_print.jpg (1024x512) [132.1 KB] || salinity_v48_8k.4653_searchweb.png (180x320) [80.5 KB] || salinity_v48_8k.4653_thm.png (80x40) [6.6 KB] || salinity_v49_1000p30.mp4 (2000x1000) [56.3 MB] || 2000x1000_2x1_60p (2000x1000) [0 Item(s)] || salinity_v49_1000p30.webm (2000x1000) [14.5 MB] || salinity_v49_1000p60.mp4 (2000x1000) [31.9 MB] || 8000x4000_2x1_60p (8000x4000) [0 Item(s)] || salinity_v49_8k_2000p30_h265.mp4 (4000x2000) [88.0 MB] || ",
            "hits": 355
        },
        {
            "id": 5020,
            "url": "https://svs.gsfc.nasa.gov/5020/",
            "result_type": "Visualization",
            "release_date": "2022-08-24T00:00:00-04:00",
            "title": "Sea Surface Salinity Trend",
            "description": "This data visualization shows the areas where sea surface salinity has increased (depicted in red) and descreased (depicted in blue) over ten years (2011 to 2021). || trend_2k.png (2000x1000) [870.4 KB] || trend_8k.png (8000x4000) [12.8 MB] || trend_4k.png (4000x2000) [3.3 MB] || trend_8k_print.jpg (1024x512) [169.6 KB] || trend_8k_searchweb.png (320x180) [88.8 KB] || trend_8k_thm.png (80x40) [8.2 KB] || trend_2k.tif (2000x1000) [50.0 MB] || trend_8k.tif (8000x4000) [94.0 MB] || trend_4k.tif (4000x2000) [193.2 MB] || sea-surface-salinity-trend.hwshow [258 bytes] || ",
            "hits": 60
        },
        {
            "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": 500
        },
        {
            "id": 13907,
            "url": "https://svs.gsfc.nasa.gov/13907/",
            "result_type": "Produced Video",
            "release_date": "2021-08-12T10:00:00-04:00",
            "title": "Go Now! Landsat & the Calypso Caper",
            "description": "During the summer of 1975, Jacques Cousteau and his divers helped NASA determine if Landsat could measure the depth of shallow ocean waters. The story of this NASA-led satellite bathymetry experiment unfolds through the photography and expedition documents preserved by David Lychenheim, the expedition’s communications engineer. Research done during that expedition determined that in certain conditions Landsat could measure depths up to 22 meters (72 feet), which gave birth to the field of satellite-derived bathymetry. This new technology enabled charts in clear water areas around the world to be revised, helping boats and deep-drafted supertankers avoid running aground on hazardous shoals or seamounts.Music: “Science of Life,” “Moving In Thought,” and “The Right Move” by Andrew Michael Britton [PRS] & David Stephen Goldsmith [PRS], “Midsummer” by Uwe Buschkotter [GEMA], “The Grand Opening” by Laurent Dury [SACEM], “Drifting Satellite” by Théo Boulenger [SACEM], “Man and Machine” by Larry Groupe [BMI], “A Little Optimism 1” by Joel Goodman [ASCAP], “Easy Does It” by Alchemist [SIAE], “Variations” by Stephan Sechi [ASCAP], “Bright and Playful” by Oscar Lo Brutto [PRS]; via Universal Production MusicComplete transcript available.Watch this video on the NASA Goddard YouTube channel. || 13907_Landsat_Cousteau_poster.png (1920x1080) [3.1 MB] || 13907_Landsat_Cousteau_poster_print.jpg (1024x576) [287.2 KB] || 13907_Landsat_Cousteau_poster_searchweb.png (320x180) [114.6 KB] || 13907_Landsat_Cousteau_poster_thm.png (80x40) [8.1 KB] || 13907_Landsat_Cousteau-pr.mov (1920x1080) [7.2 GB] || 13907_Landsat_Cousteau-yt.mp4 (1920x1080) [938.3 MB] || 13907_Landsat_Cousteau-tw.mp4 (1280x720) [301.1 MB] || 13907_Landsat_Cousteau-tw.webm (1280x720) [59.6 MB] || 13907_Landsat_Cousteau-captions.en_US.srt [11.3 KB] || 13907_Landsat_Cousteau-captions.en_US.vtt [10.8 KB] || ",
            "hits": 94
        },
        {
            "id": 13885,
            "url": "https://svs.gsfc.nasa.gov/13885/",
            "result_type": "Produced Video",
            "release_date": "2021-08-02T11:00:00-04:00",
            "title": "NASA Finds Cause of Florida Mangrove Forests Die-off",
            "description": "Mangroves are resilient trees tolerant of salt water and high wind and wave energy, which is why they can typically withstand hurricanes in tropical and subtropical environments. In 2017, NASA scientists noticed mangrove forest die-off in southern Florida after Hurricane Irma. Using NASA’s G-LiHT instrument and satellite data from Landsat, they learned that pooling, stagnant water was the cause. || ",
            "hits": 59
        },
        {
            "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": 210
        },
        {
            "id": 4850,
            "url": "https://svs.gsfc.nasa.gov/4850/",
            "result_type": "Visualization",
            "release_date": "2021-04-29T00:00:00-04:00",
            "title": "Internal Ocean Tides",
            "description": "Data visualization featuring internal tides data from NASA Goddard's Space Flight Center simulation run. The visualization sequence starts with a view of the Americas and the Pacific Ocean and soon after exposes the undersea mountain range along the Hawaiian Ridge. Internal tides data appear on the water surface and the direction of the waves reveal the interplay between the steep bathymetry and the tidal energy generated in the region. Zooming out to a global view, we spot other areas around the globe where large tides are generated, such as Tahiti, Southwest Indian Ocean and Luzon Strait and observe the motions and patterns presented by data. || InternalTides_1024x576_2944.jpg (1024x576) [614.4 KB] || InternalTides_1024x576_2944_searchweb.png (320x180) [134.6 KB] || InternalTides_1024x576_2944_web.png (320x180) [134.6 KB] || InternalTides_1024x576_2944_thm.png (80x40) [21.2 KB] || InternalTides_1280x720p30.mp4 (1280x720) [62.4 MB] || InternalTides_1920x1080_60fps_2944.tif (1920x1080) [7.9 MB] || InternalTides_1280x720p30.webm (1280x720) [15.1 MB] || InternalTides_1920x1080p30.mp4 (1920x1080) [120.7 MB] || InternalTides (3840x2160) [0 Item(s)] || InternalTides_3840x2160_60fps_2944.tif (3840x2160) [31.6 MB] || InternalTides_3840x2160_p30.mp4 (3840x2160) [376.1 MB] || InternalTides_1920x1080p30.mp4.hwshow [192 bytes] || ",
            "hits": 120
        },
        {
            "id": 4879,
            "url": "https://svs.gsfc.nasa.gov/4879/",
            "result_type": "Visualization",
            "release_date": "2021-04-29T00:00:00-04:00",
            "title": "Internal Tides: Global Views",
            "description": "Data visualization featuring energetic internal tides on a rotating Earth. The visualization simulates data over a period of a day (24 hours) and showcases the largest internal tides on water bodies around the world. The largest internal tides are generated in regions with steep bathymetry and along mid-ocean ridges, such as in the Hawaiian Ridge, Tahiti, Macquarie Ridge and Luzon Strait. || LargeTides_Composite_1920x1080_0000.png (1024x576) [511.0 KB] || LargeTides_Composite_1920x1080_0000_print.jpg (1024x576) [128.5 KB] || LargeTides_Composite_1920x1080_0000_searchweb.png (320x180) [51.6 KB] || LargeTides_Composite_1920x1080_0000_thm.png (80x40) [4.3 KB] || LargeTides_Composite (1920x1080) [0 Item(s)] || LargeTides_Composite_1280x720p30.mp4 (1280x720) [62.8 MB] || LargeTides_Composite_1920x1080_0000.tif (1920x1080) [11.9 MB] || LargeTides_Composite_1920x1080p30.mp4 (1920x1080) [113.6 MB] || LargeTides_Composite (3840x2160) [0 Item(s)] || LargeTides_Composite_3840x2160_p30.webm (3840x2160) [28.7 MB] || LargeTides_Composite_3840x2160_p30.mp4 (3840x2160) [260.3 MB] || LargeTides_Composite_1920x1080p30.mp4.hwshow [199 bytes] || ",
            "hits": 79
        },
        {
            "id": 4826,
            "url": "https://svs.gsfc.nasa.gov/4826/",
            "result_type": "Visualization",
            "release_date": "2021-04-19T12:00:00-04:00",
            "title": "Brazil and Novo Progresso Land Use Data Over Time",
            "description": "This animation begins by showing the similar sizes between the country of Brazil and the United States. It then cycles through over three decades of classification data for the entire Northern half of Brazil. We then zoom down to the town of Novo Progresso and compare its relative size to the San Francisco Bay region. Next we cycle through over three decades of transformation in the region showing how the north/south corridor of this region changed over time. Lastly, we fade in 2019 fire data to indicate how the data will continue to change into the upcoming year. || novo_progressov_finalcomp.2009_print.jpg (1024x576) [287.1 KB] || novo_progressov_finalcomp.2009_searchweb.png (180x320) [105.7 KB] || novo_progressov_finalcomp.2009_thm.png (80x40) [7.3 KB] || novo_progressov_finalcomp_1080p30.mp4 (1920x1080) [48.9 MB] || example_composite (1920x1080) [0 Item(s)] || novo_progressov_finalcomp_1080p30.webm (1920x1080) [7.9 MB] || novo_progressov_finalcomp_1080p30.mp4.hwshow [199 bytes] || ",
            "hits": 66
        },
        {
            "id": 4827,
            "url": "https://svs.gsfc.nasa.gov/4827/",
            "result_type": "Visualization",
            "release_date": "2021-04-19T12:00:00-04:00",
            "title": "Novo Progresso Surrounding Region Land Use Data Over Time",
            "description": "This data visualization begins with a wide view of Northern Brazil. It then zooms down to the region surrounding the town of Novo Progresso and compare its relative size to the San Francisco Bay region. Next we cycle through over three decades of transformation in the region showing how the north/south corridor of this area opened up over time. Lastly, we fade in 2019 fire data to indicate how the data will continue to change into the upcoming year. || novo_wide_finalcomp.2009_print.jpg (1024x576) [387.4 KB] || novo_wide_finalcomp.1116_print.jpg (1024x576) [221.0 KB] || novo_wide_finalcomp_1080p30_2.mp4 (1920x1080) [30.2 MB] || novo_wide_finalcomp_1080p30_2.webm (1920x1080) [3.7 MB] || Example_Composite (1920x1080) [0 Item(s)] || novo_wide_finalcomp_1080p30_2.mp4.hwshow [195 bytes] || ",
            "hits": 47
        },
        {
            "id": 4828,
            "url": "https://svs.gsfc.nasa.gov/4828/",
            "result_type": "Visualization",
            "release_date": "2021-04-19T12:00:00-04:00",
            "title": "Colider Land Use Data Over Time",
            "description": "This data visualization begins with a wide view of Northern Brazil. It then zooms down to the region surrounding the town of Colider and compares its relative size to Northern California. Next we cycle through over three decades of land use transformation showing cropland a pasture expansion over time. Lastly, we fade in 2019 fire data to indicate how the data will continue to change into the upcoming year. || colider_finalcomp.2009_print.jpg (1024x576) [548.1 KB] || colider_finalcomp.2009_searchweb.png (320x180) [144.4 KB] || colider_finalcomp.2009_thm.png (80x40) [8.4 KB] || colider_finalcomp_1080p30.mp4 (1920x1080) [40.2 MB] || colider_finalcomp_1080p30.webm (1920x1080) [4.0 MB] || Example_Composite (1920x1080) [0 Item(s)] || colider_finalcomp_1080p30.mp4.hwshow [191 bytes] || ",
            "hits": 43
        },
        {
            "id": 4829,
            "url": "https://svs.gsfc.nasa.gov/4829/",
            "result_type": "Visualization",
            "release_date": "2021-04-19T12:00:00-04:00",
            "title": "Ji-Paraná Land Use Data Over Time",
            "description": "This data visualization begins with a wide view of Northern Brazil. It then zooms down to the region surrounding the town of Ji Parana and compares its relative size to the San Francisco Bay area. Next we cycle through over three decades of land use transformation showing cropland a pasture expansion over time. Lastly, we fade in 2019 fire data to indicate how the data will continue to change into the upcoming year. || ji_parana_finalcomp.2009_print.jpg (1024x576) [412.8 KB] || ji_parana_finalcomp.2009_searchweb.png (320x180) [133.8 KB] || ji_parana_finalcomp.2009_thm.png (80x40) [8.2 KB] || ji_parana_finalcomp_1080p30.mp4 (1920x1080) [34.0 MB] || Example_Composite (1920x1080) [0 Item(s)] || ji_parana_finalcomp_1080p30.webm (1920x1080) [3.8 MB] || ji_parana_finalcomp_1080p30.mp4.hwshow [193 bytes] || ",
            "hits": 54
        },
        {
            "id": 4830,
            "url": "https://svs.gsfc.nasa.gov/4830/",
            "result_type": "Visualization",
            "release_date": "2021-04-19T12:00:00-04:00",
            "title": "Rio Branco Land Use Data Over Time",
            "description": "This data visualization begins with a wide view of Northern Brazil. It then zooms down to the region surrounding the town of Rio Branco and compares its relative size to the San Francisco Bay area. Next we cycle through over three decades of land use transformation showing pasture expansion over time. Lastly, we fade in 2019 fire data to indicate how the data will continue to change into the upcoming year. || rio_branco_finalcomp.2009_print.jpg (1024x576) [331.8 KB] || rio_branco_finalcomp.2009_searchweb.png (320x180) [108.8 KB] || rio_branco_finalcomp.2009_thm.png (80x40) [7.4 KB] || rio_branco_finalcomp_1080p30.mp4 (1920x1080) [24.0 MB] || rio_branco_finalcomp_1080p30.webm (1920x1080) [3.4 MB] || Example_Composite (1920x1080) [0 Item(s)] || rio_branco_finalcomp_1080p30.mp4.hwshow [194 bytes] || ",
            "hits": 42
        },
        {
            "id": 4831,
            "url": "https://svs.gsfc.nasa.gov/4831/",
            "result_type": "Visualization",
            "release_date": "2021-04-19T12:00:00-04:00",
            "title": "Uatumã Biological Reserve Over Time",
            "description": "This data visualization begins with a wide view of Northern Brazil. It then zooms down to the Uatumã Biological Reserve and compares its relative size to the San Francisco Bay area. Next we cycle through over three decades of land use transformation to show the lake formation over time as well as the increased pasture and croplands to the west of the lake. Lastly, we fade in 2019 fire data to indicate how the data will continue to change into the upcoming year. || dam_finalcomp.2009_print.jpg (1024x576) [216.7 KB] || dam_finalcomp.2009_searchweb.png (320x180) [80.9 KB] || dam_finalcomp.2009_thm.png (80x40) [5.9 KB] || dam_finalcomp_1080p30.mp4 (1920x1080) [22.1 MB] || Example_Composite (1920x1080) [0 Item(s)] || dam_finalcomp_1080p30.webm (1920x1080) [3.3 MB] || dam_finalcomp_1080p30.mp4.hwshow [187 bytes] || ",
            "hits": 43
        },
        {
            "id": 4832,
            "url": "https://svs.gsfc.nasa.gov/4832/",
            "result_type": "Visualization",
            "release_date": "2021-04-19T12:00:00-04:00",
            "title": "Itaituba and Uruara Land Use Data Over Time",
            "description": "This data visualization begins with a wide view of Northern Brazil. It then zooms down to the region between Itaituba and Uruara and compares its relative size to the San Francisco Bay area. Next we cycle through over three decades of land use transformation showing pasture expansion over time. Lastly, we fade in 2019 fire data to indicate how the data will continue to change into the upcoming year. || ruropolis_finalcomp.2009_print.jpg (1024x576) [345.6 KB] || ruropolis_finalcomp.2009_searchweb.png (320x180) [116.9 KB] || ruropolis_finalcomp.2009_thm.png (80x40) [7.6 KB] || ruropolis_finalcomp_1080p30.mp4 (1920x1080) [29.5 MB] || Sample_Composite (1920x1080) [0 Item(s)] || ruropolis_finalcomp_1080p30.webm (1920x1080) [3.5 MB] || ruropolis_finalcomp_1080p30.mp4.hwshow [193 bytes] || ",
            "hits": 39
        },
        {
            "id": 4833,
            "url": "https://svs.gsfc.nasa.gov/4833/",
            "result_type": "Visualization",
            "release_date": "2021-04-19T12:00:00-04:00",
            "title": "Northern Brazil Land Use Data Over Time",
            "description": "This data visualization begins with a wide view of Northern Brazil. While zooming in a little closer an image of the United States fades in to get the relative size of the region. Next we cycle through over three decades of transformation in the region showing land use change over time. Lastly, we fade in 2019 fire data to indicate how the data will continue to change into the upcoming year. || brazil_wide_finalcomp.2009_print.jpg (1024x576) [451.8 KB] || brazil_wide_finalcomp.2009_searchweb.png (320x180) [128.6 KB] || brazil_wide_finalcomp.2009_thm.png (80x40) [8.1 KB] || brazil_wide_finalcomp_1080p30.mp4 (1920x1080) [31.3 MB] || Sample_Composite (1920x1080) [0 Item(s)] || brazil_wide_finalcomp_1080p30.webm (1920x1080) [3.8 MB] || brazil_wide_finalcomp_1080p30.mp4.hwshow [195 bytes] || ",
            "hits": 68
        },
        {
            "id": 4900,
            "url": "https://svs.gsfc.nasa.gov/4900/",
            "result_type": "Visualization",
            "release_date": "2021-04-19T00:00:00-04:00",
            "title": "Novo Progresso Deforestation Soccer Field Comparison",
            "description": "Animation begins with a stylized bright green soccer field. Soccer fields then fall into place over a recently deforested field showing the estimated size of the newly cleared field. The camera then pulls back to reveal all the recently deforested areas (shown in bright green) around Novo Progresso from 2017 to 2018. || soccer_comp.0700_print.jpg (1024x576) [161.5 KB] || soccer_comp.0700_searchweb.png (320x180) [85.8 KB] || soccer_comp.0700_thm.png (80x40) [14.1 KB] || soccer_2017_2018_1080p30.mp4 (1920x1080) [28.6 MB] || 2017_to_2018 (1920x1080) [0 Item(s)] || soccer_2017_2018_1080p30.webm (1920x1080) [5.7 MB] || soccer_2017_2018_1080p30.mp4.hwshow [190 bytes] || ",
            "hits": 59
        },
        {
            "id": 13836,
            "url": "https://svs.gsfc.nasa.gov/13836/",
            "result_type": "Produced Video",
            "release_date": "2021-04-12T10:40:00-04:00",
            "title": "Delta-X Media Day",
            "description": "Music: Circles of Life and Building Ideas by Todd James Carlin Baker [DPRS]Complete transcript available. || Delta-X_Final_4_12_W_Broll.00001_print.jpg (1024x576) [301.9 KB] || Delta-X_Final_4_12_W_Broll.00001_searchweb.png (320x180) [106.2 KB] || Delta-X_Final_4_12_W_Broll.00001_thm.png (80x40) [6.8 KB] || Delta-X_Final_4_12_W_Broll.webm (1920x1080) [26.8 MB] || DeltaX.en_US.srt [4.5 KB] || DeltaX.en_US.vtt [4.5 KB] || Delta-X_Final_4_12_W_Broll.mp4 (1920x1080) [487.7 MB] || ",
            "hits": 34
        },
        {
            "id": 13830,
            "url": "https://svs.gsfc.nasa.gov/13830/",
            "result_type": "Produced Video",
            "release_date": "2021-04-05T09:00:00-04:00",
            "title": "Field Study Sheds New Light on Melt Zone",
            "description": "Complete transcript available. || Return_to_Ablation_Zone_Final.00001_print.jpg (1024x576) [148.3 KB] || Return_to_Ablation_Zone_Final.00001_searchweb.png (320x180) [96.8 KB] || Return_to_Ablation_Zone_Final.00001_web.png (320x180) [96.8 KB] || Return_to_Ablation_Zone_Final.00001_thm.png (80x40) [5.9 KB] || Return_to_Ablation_Zone_Final.mp4 (1920x1080) [1001.9 MB] || Return_to_Ablation_Zone_Final.webm (1920x1080) [91.7 MB] || Supraglacial_Greenland.en_US.srt [14.7 KB] || Supraglacial_Greenland.en_US.vtt [14.1 KB] || ",
            "hits": 34
        },
        {
            "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": 655
        },
        {
            "id": 13765,
            "url": "https://svs.gsfc.nasa.gov/13765/",
            "result_type": "Produced Video",
            "release_date": "2020-11-05T12:00:00-05:00",
            "title": "High Tide Flooding",
            "description": "Complete transcript available. || SLR_2020_High_Tide_Flooding_Final_1080.02397_print.jpg (1024x576) [140.1 KB] || SLR_2020_High_Tide_Flooding_Final_1080.02397_web.png (320x180) [86.8 KB] || SLR_2020_High_Tide_Flooding_Final_1080.02397_thm.png (80x40) [6.1 KB] || SLR_2020_High_Tide_Flooding_Final_1080.02397_searchweb.png (320x180) [86.8 KB] || SLR_2020_High_Tide_Flooding_Final_1080.mp4 (1920x1080) [670.8 MB] || SLR_2020_High_Tide_Flooding_Final_1080.webm (1920x1080) [57.4 MB] || SLR_2020_High_Tide_Flooding_Final.mp4 (3840x2160) [2.0 GB] || high_tide_flooding_12.en_US.srt [10.0 KB] || high_tide_flooding_12.en_US.vtt [10.0 KB] || ",
            "hits": 35
        },
        {
            "id": 13747,
            "url": "https://svs.gsfc.nasa.gov/13747/",
            "result_type": "Produced Video",
            "release_date": "2020-11-05T11:00:00-05:00",
            "title": "Rising Waters: A Warmer World",
            "description": "Earth’s global sea levels are rising – and are doing so at an accelerating rate. Waters in the ocean are expanding as they absorb massive amounts of heat trapped by greenhouse gases in Earth’s atmosphere. Glaciers and ice sheets are adding hundreds of gigatons of meltwater into the oceans each year. With satellites, airborne missions, shipboard measurements, and supercomputers, NASA has been investigating sea level rise for decades. Together with our international and interagency partners, we’re monitoring the causes of sea level rise with high accuracy and precision. Global sea level is rising approximately 0.13 inches (3.3 millimeters) a year. That’s 30% more than when NASA launched its first satellite mission to measure ocean heights in 1992.nasa.gov/sea-level-rise-2020 || ",
            "hits": 43
        },
        {
            "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": 29
        },
        {
            "id": 13763,
            "url": "https://svs.gsfc.nasa.gov/13763/",
            "result_type": "Produced Video",
            "release_date": "2020-11-05T11:00:00-05:00",
            "title": "Rising Waters: Sea Level and NASA Infrastructure",
            "description": "A look at how NASA is dealing with the threat of sea level rise to its coastal infrastructure, particularly at Langley Research Center in Hampton, Virginia, and Ames Research Center in Mountain View, California.nasa.gov/sea-level-rise-2020 || ",
            "hits": 35
        },
        {
            "id": 13739,
            "url": "https://svs.gsfc.nasa.gov/13739/",
            "result_type": "Produced Video",
            "release_date": "2020-11-05T10:00:00-05:00",
            "title": "Rising Waters: Our Dynamic Earth",
            "description": "Universal Production Music: \"Patisserie Pressure\" by Benjamin James Parsons [PRS]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 pond5.com and Artbeats 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.htmlNotes on Footage: Provided by Artbeats: 00:00-00:03; 00:08-00:15; 01:02-01:09; 01:48-01:52; 01:58-02:02Stock: 1:29 – 1:33 provided by Razvan25/Pond5 || Card_Title.jpg (1920x1080) [1003.9 KB] || Card_Title_print.jpg (1024x576) [348.9 KB] || Card_Title_searchweb.png (320x180) [102.1 KB] || Card_Title_web.png (320x180) [102.1 KB] || Card_Title_thm.png (80x40) [7.2 KB] || 13739_SLR_Subsidence.mov (1920x1080) [1.8 GB] || 13739_SLR_Subsidence.mp4 (1920x1080) [245.2 MB] || 13739_SLR_Subsidence_lowres.mp4 (1280x720) [42.2 MB] || 13739_SLR_Subsidence_lowres.webm (1280x720) [17.1 MB] || SLR_captions.en_US.srt [2.6 KB] || SLR_captions.en_US.vtt [2.6 KB] || ",
            "hits": 50
        },
        {
            "id": 4804,
            "url": "https://svs.gsfc.nasa.gov/4804/",
            "result_type": "Visualization",
            "release_date": "2020-10-13T00:00:00-04:00",
            "title": "Greenland Ice Sheet: Three Futures",
            "description": "This movie shows the evolution of several regions of the Greenland Ice Sheet between 2008 and 2300 based on three different climate scenarios. Each scenario reflects a potential future climate outcome based on current and future greenhouse gas emmisions. The regions shown in a violet color are exposed areas of the Greenland bed that were covered by the ice sheet in 2008. || Greenland_NE_2008_2300_HD_still.2127.jpg (1920x1080) [1.0 MB] || Greenland_NE_2008_2300_HD_still.2127_print.jpg (1024x576) [159.2 KB] || Greenland_NE_2008_2300_HD_still.2127_searchweb.png (320x180) [81.1 KB] || Greenland_NE_2008_2300_HD_still.2127_thm.png (80x40) [7.1 KB] || GreenlandVizV5.webm (1920x1080) [19.7 MB] || Greenland_NE_2008_2300_HD_still.2127.tif (1920x1080) [2.0 MB] || GreenlandVizV5.mp4 (1920x1080) [181.9 MB] || GreenlandViz_FINAL.mov (1920x1080) [5.8 GB] || GreenlandVizV5.mp4.hwshow [378 bytes] || ",
            "hits": 197
        },
        {
            "id": 20316,
            "url": "https://svs.gsfc.nasa.gov/20316/",
            "result_type": "Animation",
            "release_date": "2020-04-22T00:00:00-04:00",
            "title": "DeltaX",
            "description": "Deltax Animation || DeltaX_Final_v03_FullRez.00359_print.jpg (1024x576) [79.3 KB] || DeltaX_Final_v03_FullRez.00359_searchweb.png (320x180) [53.7 KB] || DeltaX_Final_v03_FullRez.00359_thm.png (80x40) [4.1 KB] || DeltaX_Final_v03_FullRez.mov (1920x1080) [1.8 GB] || DeltaX_Final_v03_FullRez.webm (1920x1080) [7.7 MB] || 1920x1080_16x9_30p (1920x1080) [256.0 KB] || DeltaX_720p30.mp4 (1280x720) [32.6 MB] || DeltaX_1080p30.mp4 (1920x1080) [66.9 MB] || DeltaX_360p30.mp4 (640x360) [10.2 MB] || ",
            "hits": 35
        },
        {
            "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": 430
        },
        {
            "id": 13515,
            "url": "https://svs.gsfc.nasa.gov/13515/",
            "result_type": "Produced Video",
            "release_date": "2020-01-07T10:00:00-05:00",
            "title": "NASA's Five Newest Earth Expeditions Ready for Takeoff",
            "description": "NASA is sending five airborne campaigns across the United States in 2020 to investigate fundamental processes that ultimately impact human lives and the environment, from snowstorms along the East Coast to ocean eddies off the coast of San Francisco. || ",
            "hits": 59
        },
        {
            "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": 42
        },
        {
            "id": 4743,
            "url": "https://svs.gsfc.nasa.gov/4743/",
            "result_type": "Visualization",
            "release_date": "2019-07-30T00:00:00-04:00",
            "title": "Greenland's Jakobshavn Region: Three Simulated Greenland Ice Sheet Response Scenarios: 2008 - 2300",
            "description": "The Greenland Ice Sheet holds enough water to raise the world’s sea level by over 7 meters (23 feet). Rising atmosphere and ocean temperatures have led to an ice loss equivalent to over a centimeter increase in global mean sea-level between 1991 and 2015. Large outlet glaciers, rivers of ice moving to the sea, drain the ice from the interior of Greenland and cause the outer margins of the ice sheet to recede. Improvements in measuring the ice thickness in ice sheets is enabling better simulation of the flow in outlet glaciers, which is key to predicting the retreat of ice sheets into the future.Recently, a simulation of the effects of outlet glacier flow on ice sheet thickness coupled with improved data and comprehensive climate modeling for differing future climate scenarios has been used to estimate Greenland’s contribution to sea-level over the next millennium. Greenland could contribute 5–34 cm (2-13 inches) to sea-level by 2100 and 11–162 cm (4-64 inches) by 2200, with outlet glaciers contributing 19–40 % of the total mass loss. The analysis shows that uncertainties in projecting mass loss are dominated by uncertainties in climate scenarios and surface processes, followed by ice dynamics. Uncertainties in ocean conditions play a minor role, particularly in the long term. Greenland will very likely become ice-free within a millennium without significant reductions in greenhouse gas emissions.Three visualizations of the evolution of the Jakobshavn region of the Greenland Ice Sheet between 2008 and 2300 based on three different climate scenarios are shown below. Each scenario is described briefly in the caption under each visualization. Each of the three visualizations are provided with a date, colorbar and a distance scale as well as without. The regions shown in a violet color are exposed areas of the Greenland bed that were covered by the ice sheet in 2008.The data sets used for these animations are the control (“CTRL”) simulations and were produced with the open-source Parallel Ice Sheet Model . All data sets for this study are publicly available at the NSF Arctic Data Center || ",
            "hits": 30
        },
        {
            "id": 4738,
            "url": "https://svs.gsfc.nasa.gov/4738/",
            "result_type": "Visualization",
            "release_date": "2019-07-24T00:00:00-04:00",
            "title": "Northeast Regional View of Three Simulated Greenland Ice Sheet Response Scenarios: 2008 - 2300",
            "description": "The Greenland Ice Sheet holds enough water to raise the world’s sea level by over 7 meters (23 feet). Rising atmosphere and ocean temperatures have led to an ice loss equivalent to over a centimeter increase in global mean sea-level between 1991 and 2015. Large outlet glaciers, rivers of ice moving to the sea, drain the ice from the interior of Greenland and cause the outer margins of the ice sheet to recede. Improvements in measuring the ice thickness in ice sheets is enabling better simulation of the flow in outlet glaciers, which is key to predicting the retreat of ice sheets into the future.Recently, a simulation of the effects of outlet glacier flow on ice sheet thickness coupled with improved data and comprehensive climate modeling for differing future climate scenarios has been used to estimate Greenland’s contribution to sea-level over the next millennium. Greenland could contribute 5–34 cm (2-13 inches) to sea-level by 2100 and 11–162 cm (4-64 inches) by 2200, with outlet glaciers contributing 19–40 % of the total mass loss. The analysis shows that uncertainties in projecting mass loss are dominated by uncertainties in climate scenarios and surface processes, followed by ice dynamics. Uncertainties in ocean conditions play a minor role, particularly in the long term. Greenland will very likely become ice-free within a millennium without significant reductions in greenhouse gas emissions.Three visualizations of the evolution of the northeastern region of the Greenland Ice Sheet between 2008 and 2300 based on three different climate scenarios are shown below. Each scenario is described briefly in the caption under each visualization. Each of the three visualizations are provided with a date, colorbar and a distance scale as well as without. The regions shown in a violet color are exposed areas of the Greenland bed that were covered by the ice sheet in 2008.The data sets used for these animations are the control (“CTRL”) simulations and were produced with the open-source Parallel Ice Sheet Model . All data sets for this study are publicly available at the NSF Arctic Data Center || ",
            "hits": 22
        },
        {
            "id": 4739,
            "url": "https://svs.gsfc.nasa.gov/4739/",
            "result_type": "Visualization",
            "release_date": "2019-07-24T00:00:00-04:00",
            "title": "Northwest Regional View of Three Simulated Greenland Ice Sheet Response Scenarios: 2008 - 2300",
            "description": "The Greenland Ice Sheet holds enough water to raise the world’s sea level by over 7 meters (23 feet). Rising atmosphere and ocean temperatures have led to an ice loss equivalent to over a centimeter increase in global mean sea-level between 1991 and 2015. Large outlet glaciers, rivers of ice moving to the sea, drain the ice from the interior of Greenland and cause the outer margins of the ice sheet to recede. Improvements in measuring the ice thickness in ice sheets is enabling better simulation of the flow in outlet glaciers, which is key to predicting the retreat of ice sheets into the future.Recently, a simulation of the effects of outlet glacier flow on ice sheet thickness coupled with improved data and comprehensive climate modeling for differing future climate scenarios has been used to estimate Greenland’s contribution to sea-level over the next millennium. Greenland could contribute 5–34 cm (2-13 inches) to sea-level by 2100 and 11–162 cm (4-64 inches) by 2200, with outlet glaciers contributing 19–40 % of the total mass loss. The analysis shows that uncertainties in projecting mass loss are dominated by uncertainties in climate scenarios and surface processes, followed by ice dynamics. Uncertainties in ocean conditions play a minor role, particularly in the long term. Greenland will very likely become ice-free within a millennium without significant reductions in greenhouse gas emissions.Three visualizations of the evolution of the northwest region of the Greenland Ice Sheet between 2008 and 2300 based on three different climate scenarios are shown below. Each scenario is described briefly in the caption under each visualization. Each of the three visualizations are provided with a date, colorbar and a distance scale as well as without. The regions shown in a violet color are exposed areas of the Greenland bed that were covered by the ice sheet in 2008.The data sets used for these animations are the control (“CTRL”) simulations and were produced with the open-source Parallel Ice Sheet Model . All data sets for this study are publicly available at the NSF Arctic Data Center || ",
            "hits": 27
        },
        {
            "id": 4721,
            "url": "https://svs.gsfc.nasa.gov/4721/",
            "result_type": "Visualization",
            "release_date": "2019-06-19T14:00:00-04:00",
            "title": "Three Simulated Greenland Ice Sheet Response Scenarios: 2008 - 2300",
            "description": "The Greenland Ice Sheet holds enough water to raise the world’s sea level by over 7 meters (23 feet). Rising atmosphere and ocean temperatures have led to an ice loss equivalent to over a centimeter increase in global mean sea-level between 1991 and 2015.  Large outlet glaciers, rivers of ice moving to the sea, drain the ice from the interior of Greenland and cause the outer margins of the ice sheet to recede. Improvements in measuring the ice thickness in ice sheets is enabling better simulation of the flow in outlet glaciers, which is key to predicting the retreat of ice sheets into the future.Recently, a simulation of the effects of outlet glacier flow on ice sheet thickness coupled with improved data and comprehensive climate modeling for differing future climate scenarios has been used to estimate Greenland’s contribution to sea-level over the next millennium. Greenland could contribute 5–34 cm (2-13 inches) to sea-level by 2100 and 11–162 cm (4-64 inches) by 2200, with outlet glaciers contributing 19–40 % of the total mass loss. The analysis shows that uncertainties in projecting mass loss are dominated by uncertainties in climate scenarios and surface processes, followed by ice dynamics. Uncertainties in ocean conditions play a minor role, particularly in the long term. Greenland will very likely become ice-free within a millennium without significant reductions in greenhouse gas emissions.Three visualizations of the evolution of the Jakobshavn region of the Greenland Ice Sheet between 2008 and 2300 based on three different climate scenarios are shown below.   The camera zooms in slowly as the ice sheet retreats and pulls out to a view of the entire ice sheet in the year 2300. Each scenario is described briefly in the caption under each visualization. Each of the three visualizations are provided with a date, colorbar and a distance scale as well as without.  The regions shown in a violet color are exposed areas of the Greenland bed that were covered by the ice sheet in 2008.The data sets used for these animations are the control (“CTRL”) simulations and were produced with the open-source Parallel Ice Sheet Model (www.pism-docs.org). All data sets for this study are publicly available at https://arcticdata.io (doi:10.18739/A2Z60C21V). || ",
            "hits": 49
        },
        {
            "id": 4722,
            "url": "https://svs.gsfc.nasa.gov/4722/",
            "result_type": "Visualization",
            "release_date": "2019-06-19T14:00:00-04:00",
            "title": "Jakobshavn Regional View of Three Simulated Greenland Ice Sheet Response Scenarios: 2008 - 2300",
            "description": "The Greenland Ice Sheet holds enough water to raise the world’s sea level by over 7 meters (23 feet). Rising atmosphere and ocean temperatures have led to an ice loss equivalent to over a centimeter increase in global mean sea-level between 1991 and 2015.  Large outlet glaciers, rivers of ice moving to the sea, drain the ice from the interior of Greenland and cause the outer margins of the ice sheet to recede.  Improvements in measuring the ice thickness in ice sheets is enabling better simulation of the flow in outlet glaciers, which is key to predicting the retreat of ice sheets into the future.Recently, a simulation of the effects of outlet glacier flow on ice sheet thickness coupled with improved data and comprehensive climate modeling for differing future climate scenarios has been used to estimate Greenland’s contribution to sea-level over the next millennium. Greenland could contribute 5–34 cm (2-13 inches) to sea-level by 2100 and 11–162 cm (4-64 inches) by 2200, with outlet glaciers contributing 19–40 % of the total mass loss. The analysis shows that uncertainties in projecting mass loss are dominated by uncertainties in climate scenarios and surface processes, followed by ice dynamics.  Uncertainties in ocean conditions play a minor role, particularly in the long term. Greenland will very likely become ice-free within a millennium without significant reductions in greenhouse gas emissions.Three visualizations of the evolution of the Jakobshavn region of the Greenland Ice Sheet between 2008 and 2300 based on three different climate scenarios are shown below. Each scenario is described briefly in the caption under each visualization.  Each of the three visualizations are provided with a date, colorbar and a distance scale as well as without. The regions shown in a violet color are exposed areas of the Greenland bed that were covered by the ice sheet in 2008.The data sets used for these animations are the control (“CTRL”) simulations and were produced with the open-source Parallel Ice Sheet Model (www.pism-docs.org). All data sets for this study are publicly available at https://arcticdata.io (doi:10.18739/A2Z60C21V). || ",
            "hits": 39
        },
        {
            "id": 4727,
            "url": "https://svs.gsfc.nasa.gov/4727/",
            "result_type": "Visualization",
            "release_date": "2019-06-19T14:00:00-04:00",
            "title": "Greenland View of Three Simulated Greenland Ice Sheet Response Scenarios: 2008 - 2300",
            "description": "The Greenland Ice Sheet holds enough water to raise the world’s sea level by over 7 meters (23 feet). Rising atmosphere and ocean temperatures have led to an ice loss equivalent to over a centimeter increase in global mean sea-level between 1991 and 2015. Large outlet glaciers, rivers of ice moving to the sea, drain the ice from the interior of Greenland and cause the outer margins of the ice sheet to recede. Improvements in measuring the ice thickness in ice sheets is enabling better simulation of the flow in outlet glaciers, which is key to predicting the retreat of ice sheets into the future.Recently, a simulation of the effects of outlet glacier flow on ice sheet thickness coupled with improved data and comprehensive climate modeling for differing future climate scenarios has been used to estimate Greenland’s contribution to sea-level over the next millennium. Greenland could contribute 5–34 cm (2-13 inches) to sea-level by 2100 and 11–162 cm (4-64 inches) by 2200, with outlet glaciers contributing 19–40 % of the total mass loss. The analysis shows that uncertainties in projecting mass loss are dominated by uncertainties in climate scenarios and surface processes, followed by ice dynamics. Uncertainties in ocean conditions play a minor role, particularly in the long term. Greenland will very likely become ice-free within a millennium without significant reductions in greenhouse gas emissions.Three visualizations of the evolution of the Greenland Ice Sheet between 2008 and 2300 based on three different climate scenarios are shown below. Each scenario is described briefly in the caption under each visualization. Each of the three visualizations are provided with a date and colorbar as well as without.  The regions shown in a violet color are exposed areas of the Greenland bed that were covered by the ice sheet in 2008.The data sets used for these animations are the control (“CTRL”) simulations and were produced with the open-source Parallel Ice Sheet Model (www.pism-docs.org). All data sets for this study are publicly available at https://arcticdata.io (doi:10.18739/A2Z60C21V). || ",
            "hits": 131
        },
        {
            "id": 13216,
            "url": "https://svs.gsfc.nasa.gov/13216/",
            "result_type": "Produced Video",
            "release_date": "2019-06-03T12:00:00-04:00",
            "title": "NASA Has Eyes On The Atlantic Hurricane Season",
            "description": "NASA has a unique and important view of hurricanes around the planet. Satellites and aircraft watch as storms form, travel across the ocean and sometimes, make landfall. After the hurricanes have passed, the satellites and aircraft see the aftermath of hurricanes, from downed forests to mass power loss. || ",
            "hits": 67
        },
        {
            "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": 221
        },
        {
            "id": 13117,
            "url": "https://svs.gsfc.nasa.gov/13117/",
            "result_type": "Produced Video",
            "release_date": "2018-12-13T11:00:00-05:00",
            "title": "Snow over Antarctica Buffered Sea Level Rise during Last Century",
            "description": "Music: Life Defrosts by Richard Andrew CanavanComplete transcript available. || AntarcticSnowfall_Thumbnail.png (1920x1080) [1.4 MB] || AntarcticSnowfall_Thumbnail_print.jpg (1024x576) [56.6 KB] || AntarcticSnowfall_Thumbnail_searchweb.png (320x180) [61.1 KB] || AntarcticSnowfall_Thumbnail_thm.png (80x40) [5.8 KB] || AntarcticSnowfall.mp4 (1920x1080) [81.7 MB] || AntarcticSnowfall.webm (1920x1080) [10.0 MB] || AntarcticSnowfall_Captions.en_US.srt [1.7 KB] || AntarcticSnowfall_Captions.en_US.vtt [1.7 KB] || AntarcticSnowfall.mov (1920x1080) [2.0 GB] || ",
            "hits": 42
        },
        {
            "id": 12849,
            "url": "https://svs.gsfc.nasa.gov/12849/",
            "result_type": "Produced Video",
            "release_date": "2018-02-13T09:00:00-05:00",
            "title": "Sea Level Rise Accelerates Over Time",
            "description": "Music: Contemporary Art Daily by Laurent Dury [SACEM]Complete transcript available. || Screen_Shot_2018-02-09_at_2.43.17_PM.png (1670x937) [935.6 KB] || Screen_Shot_2018-02-09_at_2.43.17_PM_print.jpg (1024x574) [63.9 KB] || Screen_Shot_2018-02-09_at_2.43.17_PM_searchweb.png (320x180) [45.9 KB] || Screen_Shot_2018-02-09_at_2.43.17_PM_thm.png (80x40) [4.1 KB] || 12849_SLR_Final.webm (960x540) [27.5 MB] || 12849_SLR_Final_appletv.m4v (1280x720) [37.4 MB] || YOUTUBE_1080_12849_SLR_Final_youtube_1080.mp4 (1920x1080) [107.4 MB] || 12849_SLR_Final_large.mp4 (1920x1080) [69.8 MB] || 12849_SLR_Final_appletv_subtitles.m4v (1280x720) [37.4 MB] || SLR_NoText.mp4 (1918x1080) [68.1 MB] || SLR_Acceleration.en_US.srt [958 bytes] || SLR_Acceleration.en_US.vtt [971 bytes] || ",
            "hits": 297
        },
        {
            "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": 187
        },
        {
            "id": 11761,
            "url": "https://svs.gsfc.nasa.gov/11761/",
            "result_type": "Produced Video",
            "release_date": "2017-07-21T13:00:00-04:00",
            "title": "Land Changes in Atchafalaya Bay",
            "description": "Since 1972, Landsat satellites have orbited our home planet, collecting data about the land surface we rely on. This video shows footage of the launch of the first Landsat satellite, on July 23, 1972, and a timelapse of the changing coastal wetlands in Atchafalaya Bay, Louisiana.Music credit: Step By Step, by Gresby Race Nash [PRS] || 11761_Atchafalaya_Delta_Landsat45th_large.00385_print.jpg (1024x576) [74.5 KB] || 11761_Atchafalaya_Delta_Landsat45th_large.00385_searchweb.png (320x180) [63.5 KB] || 11761_Atchafalaya_Delta_Landsat45th_large.00385_thm.png (80x40) [5.0 KB] || 11761_Atchafalaya_Delta_Landsat45th_prores.mov (1280x720) [1.5 GB] || 11761_Atchafalaya_Delta_Landsat45th_large.mp4 (1920x1080) [111.8 MB] || 11761_Atchafalaya_Delta_Landsat45th_youtube_1080.mp4 (1920x1080) [162.4 MB] || 11761_Atchafalaya_Delta_Landsat45th_facebook_720.mp4 (1280x720) [118.5 MB] || 11761_Atchafalaya_Delta_Landsat45th.webm (960x540) [45.1 MB] || GSFC_20170721_Landsat_m11761_Atchafalaya.en_US.vtt [42 bytes] || ",
            "hits": 73
        },
        {
            "id": 12509,
            "url": "https://svs.gsfc.nasa.gov/12509/",
            "result_type": "Produced Video",
            "release_date": "2017-02-15T11:00:00-05:00",
            "title": "Water in Helheim Glacier Makes Its Way to the Ocean",
            "description": "New NASA research found that large crevasses provide aquifer water upstream of Greenland's Helheim Glacier with a clear escape to the ocean. This discovery helps confirm that the water, which is held in a layer of crunchy, granular snow called firn, contributes to sea level rise. || ",
            "hits": 25
        },
        {
            "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": 371
        },
        {
            "id": 30794,
            "url": "https://svs.gsfc.nasa.gov/30794/",
            "result_type": "Hyperwall Visual",
            "release_date": "2016-07-26T00:00:00-04:00",
            "title": "Ocean Acidification: Surface pH",
            "description": "The imagery here shows the output of a computer model that makes predictions of how the pH will change over time based on best estimates of likely CO2 emissions (RCP 8.5) used in the United Nations Intergovernmental Panel on Climate Change's AR5 assessment. The dataset starts in 1861 and runs through 2100.This visualization, originally developed by NOAA Environmental Visualization Laboratory for display on NOAA's Science On a Sphere, is adapted here for use on the NASA hyperwall. || ",
            "hits": 610
        },
        {
            "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": 64
        },
        {
            "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": 61
        },
        {
            "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": 77
        },
        {
            "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": 269
        },
        {
            "id": 30629,
            "url": "https://svs.gsfc.nasa.gov/30629/",
            "result_type": "Hyperwall Visual",
            "release_date": "2015-12-27T16:00:00-05:00",
            "title": "El Niño Watch 2015",
            "description": "Animation of Sea Surface Height Anomaly for 2015 compared to 1997 || ssha_1997vs2015_print.jpg (1024x574) [142.6 KB] || ssha_1997vs2015_searchweb.png (180x320) [71.4 KB] || ssha_1997vs2015_thm.png (80x40) [7.0 KB] || ssha_1997vs2015_720p.webm (1280x720) [2.4 MB] || ssha_1997vs2015_720p.mp4 (1280x720) [4.0 MB] || ssha_1997vs2015_1080p.mp4 (1920x1080) [5.1 MB] || ssha_1997vs2015_2304p.mp4 (4096x2304) [15.3 MB] || ssha_1997vs2015_360p.mp4 (640x360) [1.7 MB] || ssha_1997vs2015.tif (4104x2304) [4.3 MB] || ssha_1997vs2015_30629.key [7.5 MB] || ssha_1997vs2015_30629.pptx [4.9 MB] || el_nino_1997vs2015_recent_still.hwshow [230 bytes] || ",
            "hits": 56
        },
        {
            "id": 30728,
            "url": "https://svs.gsfc.nasa.gov/30728/",
            "result_type": "Hyperwall Visual",
            "release_date": "2015-11-27T00:00:00-05:00",
            "title": "NOAA Coral Reef Watch 2015",
            "description": "The NOAA Coral Reef Watch program's satellite data provide current reef environmental conditions to quickly identify areas at risk for coral bleaching, where corals lose the symbiotic algae that give them their distinctive colors. If a coral is severely bleached, disease and partial mortality become likely, and the entire colony may die.The satellite data used to create these products includes the polar orbiters Suomi-NPP/VIIRS and MetOp-B/AVHRR, and the geostationary satellites MSG-3, MTSAT-2, GOES-East, and GOES-West. || ",
            "hits": 159
        },
        {
            "id": 11994,
            "url": "https://svs.gsfc.nasa.gov/11994/",
            "result_type": "Produced Video",
            "release_date": "2015-09-15T09:00:00-04:00",
            "title": "Rising Seas: NASA on the Greenland Ice Sheet",
            "description": "Greenland_SLR_Final_Condensed_appletv_print.jpg (1024x576) [88.1 KB] || Greenland_SLR_Final_Condensed_youtube_hq_searchweb.png (180x320) [74.6 KB] || Greenland_SLR_Final_Condensed_youtube_hq_thm.png (80x40) [6.1 KB] || Greenland_SLR_Final_Condensed_appletv.m4v (1280x720) [1.6 GB] || Greenland_SLR_Live_Final_Condensed.mov (1280x720) [42.4 GB] || Greenland_SLR_Final_Condensed_HD.wmv (1280x720) [580.1 MB] || Greenland_SLR_Final_Condensed_youtube_hq.mov (1280x720) [4.8 GB] || Greenland_SLR_Final_Condensed_HD.webm (1280x720) [346.3 MB] || Greenland_SLR_Final_Condensed_youtube_hq.webm (1280x720) [349.8 MB] || Greenland_SLR_Final_Condensed_appletv_subtitles.m4v (1280x720) [1.6 GB] || Greenland_SLR_Final_Condensed.en_US.srt [85.1 KB] || Greenland_SLR_Final_Condensed.en_US.vtt [84.9 KB] || Greenland_SLR_Final_Condensed_ipod_sm.mp4 (320x240) [590.0 MB] || ",
            "hits": 45
        },
        {
            "id": 11990,
            "url": "https://svs.gsfc.nasa.gov/11990/",
            "result_type": "Produced Video",
            "release_date": "2015-08-28T14:00:00-04:00",
            "title": "NASA On Air: NASA Sea Level Rise Team Zeros In On Greenland (8/28/2015)",
            "description": "LEAD: Detailed measurements from NASA satellites are yielding new perspectives on sea level rise.1. This visualization shows the sea level change between 1992 and 2014. Since 1992, seas around the world have risen an average of nearly 3 inches. Regional differences in sea levels are caused by ocean currents and natural long-term ocean cycles.2. Scientists estimate one-third of the ocean rise is caused by the melting of the Greenland and Antarctic ice shelves. The big concern now is that the ice sheets are ‘waking up’ to the warming climate and will contribute more and more to sea level rise in the coming decades.3. An intense research effort by NASA and others is now underway to measure and analyze how Greenland and Antarctica will respond to Earth's warmer air temperatures and the changing ocean currents along the edges of the ice shelves.TAG: Faster melting of the polar ice caps could mean sea rise of 3 feet or more by the end of the century. || NASAONAIR_Sea_Level_Rise-10-iPad3_print.jpg (1024x576) [92.3 KB] || NASAONAIR_Sea_Level_Rise-10-iPad3_searchweb.png (320x180) [67.4 KB] || NASAONAIR_Sea_Level_Rise-10-iPad3_thm.png (80x40) [5.9 KB] || NASAONAIR_Sea_Level_Rise-1_Weather_Channel_30_fps.mov (1920x1080) [493.1 MB] || NASAONAIR_Sea_Level_Rise-2_Weather_Channel_60_fps.mov (1280x720) [592.5 MB] || NASAONAIR_Sea_Level_Rise-3_NBC_Today.mov (1920x1080) [232.3 MB] || NASAONAIR_Sea_Level_Rise-4-WeatherChannel.wmv (1280x720) [8.8 MB] || NASAONAIR_Sea_Level_Rise-5-Accuweather.avi (1280x720) [6.7 MB] || NASAONAIR_Sea_Level_Rise-6_Baron_Services_MP4.mp4 (1920x1080) [23.8 MB] || NASAONAIR_Sea_Level_Rise-7_APR_422_1920_30.mov (1920x1080) [464.0 MB] || NASAONAIR_Sea_Level_Rise-8-iPad1.m4v (960x540) [13.7 MB] || NASAONAIR_Sea_Level_Rise-9-iPad2.m4v (1280x720) [7.2 MB] || NASAONAIR_Sea_Level_Rise-10-iPad3.m4v (1920x1080) [7.2 MB] || NASAONAIR_Sea_Level_Rise-10-iPad3.webm (1920x1080) [3.4 MB] || ",
            "hits": 72
        },
        {
            "id": 11976,
            "url": "https://svs.gsfc.nasa.gov/11976/",
            "result_type": "Produced Video",
            "release_date": "2015-08-26T17:00:00-04:00",
            "title": "Sea Level Rise Live Shots",
            "description": "Sea Level Rising Inteview with Tom Wagner || YOUTUBE_HQ_Tom_Wagner_-_Sea_Levels_youtube_hq_print.jpg (1024x576) [128.8 KB] || WEBM_Tom_Wagner_-_Sea_Levels_1.webm (960x540) [82.0 MB] || WMV_Tom_Wagner_-_Sea_Levels_1_HD.wmv (1280x720) [39.7 MB] || APPLE_TV_Tom_Wagner_-_Sea_Levels_1_appletv.m4v (1280x720) [112.3 MB] || APPLE_TV_Tom_Wagner_-_Sea_Levels_1_appletv_subtitles.m4v (1280x720) [112.4 MB] || YOUTUBE_HQ_Tom_Wagner_-_Sea_Levels_1_youtube_hq.mov (1280x720) [369.3 MB] || NASA_TV_Tom_Wagner_-_Sea_Levels_1.mpeg (1280x720) [687.0 MB] || WEBM_Tom_Wagner_-_Sea_Levels.en_US.vtt [4.5 KB] || WEBM_Tom_Wagner_-_Sea_Levels_1.en_US.srt [4.6 KB] || WEBM_Tom_Wagner_-_Sea_Levels_1.en_US.vtt [4.5 KB] || NASA_PODCAST_Tom_Wagner_-_Sea_Levels_1_ipod_sm.mp4 (320x240) [36.7 MB] || Tom_Wagner_-_Sea_Levels_1.mov (1280x720) [2.6 GB] || ",
            "hits": 50
        },
        {
            "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": 176
        },
        {
            "id": 4254,
            "url": "https://svs.gsfc.nasa.gov/4254/",
            "result_type": "Visualization",
            "release_date": "2015-01-16T00:00:00-05:00",
            "title": "Global Temperature Anomalies from November 2014",
            "description": "This visualization of global surface temperatures from November 2014 starts with a local view of the United States and then zooms out to see the global color-coded map. Blue represents colder then normal temperatures and red represents warmer. || Nov2014_Robinson_zoomout_composite_0001_print.jpg (1024x576) [98.1 KB] || Nov2014_Robinson_zoomout_composite_0001_searchweb.png (320x180) [74.4 KB] || Nov2014_Robinson_zoomout_composite_0001_thm.png (80x40) [6.0 KB] || robinson_composite (1920x1080) [0 Item(s)] || Nov2014monthly_robinsonzoomout.mp4 (1920x1080) [10.9 MB] || Nov2014monthly_robinsonzoomout.webm (1920x1080) [1.3 MB] || ",
            "hits": 31
        },
        {
            "id": 4255,
            "url": "https://svs.gsfc.nasa.gov/4255/",
            "result_type": "Visualization",
            "release_date": "2015-01-16T00:00:00-05:00",
            "title": "2014 Global Temperature Anomalies: United States to Global view",
            "description": "This visualization of annual global temperature anomalies from 2014 starts with a local view of the United States and then zooms out to the global color-coded map.  Blue represents colder then normal temperatures and red represents warmer then normal temperatures. || US_Global_pullout_2014GISTEMP_0001_print.jpg (1024x576) [105.0 KB] || US_Global_pullout_2014GISTEMP_0001_searchweb.png (320x180) [75.7 KB] || US_Global_pullout_2014GISTEMP_0001_thm.png (80x40) [6.1 KB] || composite (1920x1080) [0 Item(s)] || Annual2014GISSTEMP_US2Global.mp4 (1920x1080) [11.2 MB] || Annual2014GISSTEMP_US2Global.webm (1920x1080) [1.3 MB] || ",
            "hits": 74
        },
        {
            "id": 4152,
            "url": "https://svs.gsfc.nasa.gov/4152/",
            "result_type": "Visualization",
            "release_date": "2014-03-19T14:40:00-04:00",
            "title": "Global Temperature Anomalies from January 2014",
            "description": "Residents of the eastern United States know that the temperature was colder then the average temperature. This visual of the GISTEMP anomalies for January of 2014 show the United States and then zooms out to show the global picture. Temperature anomalies indicate how much warmer or colder it is than normal for a particular place and time. For the GISS analysis, normal always means the average over the 30-year period 1951-1980 for that place and time of year. For more information on the GISTEMP, see the GISTEMP analysis website located at: http://data.giss.nasa.gov/gistemp/ || ",
            "hits": 43
        },
        {
            "id": 30491,
            "url": "https://svs.gsfc.nasa.gov/30491/",
            "result_type": "Hyperwall Visual",
            "release_date": "2014-02-11T12:00:00-05:00",
            "title": "Thermal Stress off Florida's Coast",
            "description": "To assess the influence of thermal anomalies on coral communities, the NOAA Coral Reef Watch program in partnership with the University of South Florida, NASA Ames Research Center, UNEP World Conservation Monitoring Center, and the University of Colorado has developed a suite of products that help monitor and forecast global coral bleaching at high spatial resolutions. Thermal anomaly products at 1 km spatial resolution have been developed for the West Florida Shelf using both Advanced Very High Resolution Radiometer (AVHRR) and MODIS Aqua satellite imagery. These products were derived as follows. AVHRR Pathfinder (version 5.0) nighttime-only sea surface temperature (SST) data were used to create a gap-filled climatology from 1985 – 2006 and from it a maximum monthly mean climatology was derived. AVHRR HotSpots are the difference between the AVHRR nighttime-only SST and the AVHRR climatology, while MODIS HotSpots are the difference between the MODIS Aqua 11 µm nighttime-only SST and the AVHRR climatology. Both Degree Heating Weeks (DHWs) products count positive HotSpots equal or higher to 1°C in a 12-week window. When DHW values are between 4 - 8, significant coral bleaching is likely, and the potential for coral disease increases. DHWs values higher than 8 indicates where mass coral bleaching and significant mortality are likely. Maria Vega-Rodriguez of USF || ",
            "hits": 173
        },
        {
            "id": 4135,
            "url": "https://svs.gsfc.nasa.gov/4135/",
            "result_type": "Visualization",
            "release_date": "2014-01-21T00:00:00-05:00",
            "title": "Five-Year Global Temperature Anomalies from 1880 to 2013",
            "description": "NASA scientists say 2013 tied with 2009 and 2006 for the seventh warmest year since 1880, continuing a long-term trend of rising global temperatures. With the exception of 1998, the 10 warmest years in the 134-year record all have occurred since 2000, with 2010 and 2005 ranking as the warmest years on record.NASA's Goddard Institute for Space Studies (GISS) in New York, which analyzes global surface temperatures on an ongoing basis, released an updated report Tuesday on temperatures around the globe in 2013. The comparison shows how Earth continues to experience temperatures warmer than those measured several decades ago.  The average temperature in 2013 was 58.3 degrees Fahrenheit (14.6 degrees Celsius), which is 1.1 °F (0.6 °C) warmer than the mid-20th century baseline. The average global temperature has risen about 1.4 °F (0.8 °C) since 1880, according to the new analysis. Exact rankings for individual years are sensitive to data inputs and analysis methods.\"Long-term trends in surface temperatures are unusual and 2013 adds to the evidence for ongoing climate change,\" GISS climatologist Gavin Schmidt said. \"While one year or one season can be affected by random weather events, this analysis shows the necessity for continued, long-term monitoring.\"Scientists emphasize that weather patterns always will cause fluctuations in average temperatures from year to year, but the continued increases in greenhouse gas levels in Earth's atmosphere are driving a long-term rise in global temperatures. Each successive year will not necessarily be warmer than the year before, but with the current level of greenhouse gas emissions, scientists expect each successive decade to be warmer than the previous.Carbon dioxide is a greenhouse gas that traps heat and plays a major role in controlling changes to Earth's climate. It occurs naturally and also is emitted by the burning of fossil fuels for energy. Driven by increasing man-made emissions, the level of carbon dioxide in Earth's atmosphere presently is higher than at any time in the last 800,000 years. The carbon dioxide level in the atmosphere was about 285 parts per million in 1880, the first year in the GISS temperature record. By 1960, the atmospheric carbon dioxide concentration, measured at the National Oceanic and Atmospheric Administration's (NOAA) Mauna Loa Observatory in Hawaii, was about 315 parts per million. This measurement peaked last year at more than 400 parts per million.While the world experienced relatively warm temperatures in 2013, the continental United States experienced the 42nd warmest year on record, according to GISS analysis. For some other countries, such as Australia, 2013 was the hottest year on record.The temperature analysis produced at GISS is compiled from weather data from more than 1,000 meteorological stations around the world, satellite observations of sea-surface temperature, and Antarctic research station measurements, taking into account station history and urban heat island effects. Software is used to calculate the difference between surface temperature in a given month and the average temperature for the same place from 1951 to 1980. This three-decade period functions as a baseline for the analysis. It has been 38 years since the recording of a year of cooler than average temperatures.The GISS temperature record is one of several global temperature analyses, along with those produced by the Met Office Hadley Centre in the United Kingdom and NOAA's National Climatic Data Center in Asheville, N.C. These three primary records use slightly different methods, but overall, their trends show close agreement.Additional commentary on the 2013 temperature anomaly is provided by Dr. James Hansen of Columbia University at: http://www.columbia.edu/~jeh1/mailings/2014/20140121_Temperature2013.pdfThe GISTEMP analysis website is located at: http://data.giss.nasa.gov/gistemp/ || ",
            "hits": 104
        },
        {
            "id": 11426,
            "url": "https://svs.gsfc.nasa.gov/11426/",
            "result_type": "Produced Video",
            "release_date": "2013-12-03T09:00:00-05:00",
            "title": "Ask A Climate Scientist - Climate Change and Humans",
            "description": "How does climate change affect humans? That's the question we asked Tom Wagner, Program Scientist for Cryospheric Research at NASA.In four different ways, he says, from rainfall patterns and sea levels rising to food production and ocean acidification. First, \"as the planet warms up, we're going to redistribute rainfall, which is going to affect our water resources and parts of North America may get a lot drier.\"Second, \"as the polar ice melts, sea levels are going to rise.\" The world's major cities, and a lot of people, are right on the coasts and rising sea levels are going to impact them. Third, thinking about food, the \"distributions where we can grow food are going to change as the planet warms up.\"  So the range over which you can grow corn and other crops will change. Fourth, says Tom Wagner, \"the oceans are going to get more acidic as more CO2 dissolves in them.\" There are untold ramifications from that, including the possibility of radically altering the food web in the ocean, \"which can affect everything from the composition of the atmosphere to the ability of the oceans to provide food for us.\"See more of NASA's answers to your questions on climate science. || ",
            "hits": 25
        },
        {
            "id": 30178,
            "url": "https://svs.gsfc.nasa.gov/30178/",
            "result_type": "Hyperwall Visual",
            "release_date": "2013-10-17T12:00:00-04:00",
            "title": "A Changed Coastline in New Jersey",
            "description": "On October 29, 2012, Superstorm Sandy changed the lives of many living along the U.S. East Coast—especially along the shorelines of New Jersey, New York, and Connecticut. At landfall, heavy rains pelted states as far inland as Wisconsin and surging seawater washed away beaches and flooded streets, businesses, and homes. These two images show a portion of the New Jersey coastal town of Mantolokig, just north of where the storm made landfall, before (March 18, 2007) and after (October 31, 2012) the storm. On the barrier island, entire blocks of houses along Route 35 (also called Ocean Boulevard) were damaged or completely washed away by the storm surge and wind. Fires raged in the town from natural gas lines that had ruptured and ignited. A new inlet was cut across the island, connected the Atlantic Ocean and the Jones Tide Pond. || ",
            "hits": 30
        },
        {
            "id": 4030,
            "url": "https://svs.gsfc.nasa.gov/4030/",
            "result_type": "Visualization",
            "release_date": "2013-01-15T13:00:00-05:00",
            "title": "Five-Year Global Temperature Anomalies from 1880 to 2012",
            "description": "This color-coded map displays a progression of changing global surface temperatures anomalies from 1880 through 2012. Higher than normal temperatures are shown in red and lower then normal temperatures are shown in blue. Global surface temperature in 2012 was +0.55 || ",
            "hits": 413
        },
        {
            "id": 11042,
            "url": "https://svs.gsfc.nasa.gov/11042/",
            "result_type": "Produced Video",
            "release_date": "2012-07-23T00:00:00-04:00",
            "title": "Vermilion Parish, LA",
            "description": "Timelapse of six years in southern Vermilion Parish, Louisiana (1973, 1980, 1986, 1992, 2003, 2010) land being overtaken by water. In these images from Landsat data, red indicates healthy vegetation and shades of blue indicate water. || Pecan_Island_2011.jpg (1280x720) [349.5 KB] || Pecan_Island_2003.jpg (1280x720) [369.1 KB] || Pecan_Island_1992.jpg (1280x720) [335.4 KB] || Pecan_Island_1986.jpg (1280x720) [350.0 KB] || 7-Loveland-1-Pecan_series.00002_print.jpg (1024x576) [148.9 KB] || Pecan_Island_1980.jpg (1280x720) [464.4 KB] || Pecan_Island_1973.jpg (1280x720) [290.8 KB] || 7-Loveland-1-Pecan_series_web.png (320x180) [288.7 KB] || 7-Loveland-1-Pecan_series_thm.png (80x40) [17.6 KB] || 7-Loveland-1-Pecan_series_youtube_hq.mov (1280x720) [18.7 MB] || 7-Loveland-1-Pecan_series_appletv.m4v (960x540) [13.4 MB] || 7-Loveland-1-Pecan_series_1280x720.wmv (1280x720) [13.6 MB] || 7-Loveland-1-Pecan_series_720x480.webmhd.webm (960x540) [4.2 MB] || 7-Loveland-1-Pecan_series.mov (640x360) [9.9 MB] || 7-Loveland-1-Pecan_series_720x480.wmv (720x480) [7.7 MB] || 7-Loveland-1-Pecan_series_ipod_lg.m4v (640x360) [5.5 MB] || GSFC_20120723_Landsat_m11042_Vermilion.en_US.vtt [64 bytes] || 7-Loveland-1-Pecan_series_ipod_sm.mp4 (320x240) [2.1 MB] || 7-Loveland-1-Pecan_series_prores.mov (1280x720) [602.1 MB] || landsat_vermillion_parish_bigmovie.hwshow [57 bytes] || ",
            "hits": 60
        },
        {
            "id": 11028,
            "url": "https://svs.gsfc.nasa.gov/11028/",
            "result_type": "Produced Video",
            "release_date": "2012-06-28T16:00:00-04:00",
            "title": "Rebuilding Poplar Island",
            "description": "Poplar Island is being rebuilt by the U.S. Army Corps of Engineers using dredged mud from the Baltimore Harbor which lies about 30 miles (about 48 kilometers) north of the island. Reconstruction of the island began in 1998 with the erection of dikes to contain the mud.The growing island is a wildlife sanctuary, a hatchery for hundreds of diamondback terrapins and home to about 170 different species of birds including terns and bald eagles. NASA and the U.S. Department of the Interior through the U.S. Geological Survey (USGS) jointly manage Landsat. The USGS preserves the archive of Landsat images and distributes all of the 40-years of Landsat data free over the Internet. || ",
            "hits": 44
        },
        {
            "id": 3901,
            "url": "https://svs.gsfc.nasa.gov/3901/",
            "result_type": "Visualization",
            "release_date": "2012-01-20T00:00:00-05:00",
            "title": "Five-Year Average Global Temperature Anomalies from 1880 to 2011",
            "description": "The global average surface temperature in 2011 was the ninth warmest since 1880.The finding sustains a trend that has seen the 21st century experience nine of the 10 warmest years in the modern meteorological record. NASA's Goddard Institute for Space Studies (GISS) in New York released an analysis of how temperatures around the globe in 2011 compared to the average global temperature from the mid-20th century. The comparison shows how Earth continues to experience higher temperatures than several decades ago. The average temperature around the globe in 2011 was 0.92 degrees F (0.51 C) higher than the mid-20th century baseline.\"We know the planet is absorbing more energy than it is emitting,\" said GISS director James E. Hansen. \"So we are continuing to see a trend toward higher temperatures. Even with the cooling effects of a strong La Ni?a influence and low solar activity for the past several years, 2011 was one of the 10 warmest years on record.\"The difference between 2011 and the warmest year in the GISS record (2010) is 0.22 degrees F (0.12 C). This underscores the emphasis scientists put on the long-term trend of global temperature rise as opposed to year-to-year variations. Because of the large natural variability of climate, scientists do not expect annual temperatures to rise consistently each year. However, they do expect a continuing temperature rise over decades. The first 11 years of the 21st century experienced notably higher temperatures compared to the middle and late 20th century, Hansen said.For more information on the GISS temperature analysis, visit http://data.giss.nasa.gov/gistemp. || ",
            "hits": 211
        },
        {
            "id": 10774,
            "url": "https://svs.gsfc.nasa.gov/10774/",
            "result_type": "Produced Video",
            "release_date": "2011-05-26T00:00:00-04:00",
            "title": "Landsat Observes Barrier Islands",
            "description": "A survey of barrier islands published in 2011 in the Journal of Coastal Research offers the most thorough assessment to date of the thousands of small islands that hug the coasts of the world's landmasses. The study, led by Matthew Stutz of Meredith College and Orrin Pilkey of Duke University, raises new questions about how the unique islands form and evolve over time - and how they may fare as the climate changes and sea level rises. It was based on a global collection of satellite images as well as information from topographic and navigational charts. Landsat 7 acquired the images around 2000, but a private company mosaicked them as part of an effort funded by NASA and the United States Geological Survey. || Barrier_Islands_Survey_ipod_sm.00552_print.jpg (1024x768) [85.4 KB] || Barrier_Islands_Survey_ipod_sm_web.png (320x240) [113.1 KB] || Barrier_Islands_Survey_ipod_sm_thm.png (80x40) [16.3 KB] || Barrier_Islands_Survey_ipod_sm_searchweb.png (320x180) [86.4 KB] || Barrier_Islands_Survey_youtube_hq.mov (1280x720) [78.3 MB] || Barrier_Islands_Survey_appletv.m4v (960x540) [62.8 MB] || Barrier_Islands_Survey.wmv (1280x720) [70.7 MB] || Barrier_Islands_Survey_prores.mov (1280x720) [2.2 GB] || Barrier_Islands_Survey_appletv.webmhd.webm (960x540) [28.9 MB] || Barrier_Islands_Survey.mov (640x360) [59.1 MB] || Barrier_Islands_Survey_ipod_lg.m4v (640x360) [24.9 MB] || GSFC_20110526_Barrier_m10774_Islands.en_US.vtt [42 bytes] || Barrier_Islands_Survey_ipod_sm.mp4 (320x240) [13.2 MB] || ",
            "hits": 26
        },
        {
            "id": 3817,
            "url": "https://svs.gsfc.nasa.gov/3817/",
            "result_type": "Visualization",
            "release_date": "2011-01-14T00:00:00-05:00",
            "title": "Five-Year Average Global Temperature Anomalies from 1880 to 2010",
            "description": "Groups of scientists from several major institutions - NASA's Goddard Institute for Space Studies (GISS), NOAA's National Climatic Data Center (NCDC), the Japanese Meteorological Agency and the Met Office Hadley Centre in the United Kingdom - tally data collected by temperature monitoring stations spread around the world and make an announcement about whether the previous year was a comparatively warm or cool year. This analysis concerns only temperature anomalies, not absolute temperature. Temperature anomalies are computed relative to the base period 1951-1980. The reason to work with anomalies, rather than absolute temperature is that absolute temperature varies markedly in short distances, while monthly or annual temperature anomalies are representative of a much larger region. Indeed, we have shown (Hansen and Lebedeff, 1987) that temperature anomalies are strongly correlated out to distances of the order of 1000 km. For more information about this dataset, see http://data.giss.nasa.gov/gistemp NASA's announcement this year - that 2010 ties 2005 as the warmest year in the 131-year instrumental record - made headlines. But, how much does the ranking of a single year matter?Not all that much, emphasizes James Hansen, the director of NASA's Goddard Institute for Space Studies (GISS) in New York City. In the GISS analysis, for example, 2010 differed from 2005 by less than 0.01°C (0.018°F), a difference so small that the temperatures of these two years are indistinguishable, given the uncertainty of the calculation.Meanwhile, the third warmest year - 2009 - is so close to 1998, 2002, 2003, 2006, and 2007, with the maximum difference between the years being a mere 0.03°C, that all six years are virtually tied.Even for a near record-breaking year like 2010 the broader context is more important than a single year. \"Certainly, it is interesting that 2010 was so warm despite the presence of a La Niña and a remarkably inactive sun, two factors that have a cooling influence on the planet, but far more important than any particular year's ranking are the decadal trends,\" Hansen said. || ",
            "hits": 100
        },
        {
            "id": 3784,
            "url": "https://svs.gsfc.nasa.gov/3784/",
            "result_type": "Visualization",
            "release_date": "2010-10-12T00:00:00-04:00",
            "title": "2009 El Niño & 2010 La Niña (3D-Stereoscopic Version)",
            "description": "Sea Surface Height Anomalies (SSHA) are differences above and below normally observed sea surface heights. Large sustained above average areas (shown in orange and red) off the western coast of South America are an indicator of an El Niño event. In contrast, large sustained below average areas (shown in blue and violet) off the western South American coast are indicators of a La Niña event. This visualization shows the formation of an El Niño event towards the end of 2009 followed by a 2010 La Niña event. || ",
            "hits": 36
        },
        {
            "id": 3780,
            "url": "https://svs.gsfc.nasa.gov/3780/",
            "result_type": "Visualization",
            "release_date": "2010-10-06T00:00:00-04:00",
            "title": "2009 El Niño & 2010 La Niña (Science On a Sphere Version)",
            "description": "Sea Surface Height Anomalies (SSHA) are differences above and below normally observed sea surface heights. Large sustained above average areas (shown in orange and red) off the western coast of South America are an indicator of an El Niño event. In contrast, large sustained below average areas (shown in blue and violet) off the western South American coast are indicators of a La Niña event. This visualization shows the formation of an El Niño event towards the end of 2009 followed by a 2010 La Niña event. || ",
            "hits": 40
        },
        {
            "id": 3684,
            "url": "https://svs.gsfc.nasa.gov/3684/",
            "result_type": "Visualization",
            "release_date": "2010-03-03T00:00:00-05:00",
            "title": "Five-Year Average Global Temperature Anomalies from 1881 to 2009 for Science On a Sphere",
            "description": "Each year, scientists at NASA Goddard Institute for Space Studies analyze global temperature data. The past year, 2009, tied as the second warmest year in the 130 years of global instrumental temperature records, in the surface temperature analysis of the NASA Goddard Institute for Space Studies (GISS). The Southern Hemisphere set a record as the warmest year for that half of the world. Global mean temperature, was 0.57°C (1.0°F) warmer than climatology (the 1951-1980 base period). Southern Hemisphere mean temperature was 0.49°C (0.88°F) warmer than in the period of climatology. The global record warm year, in the period of near-global instrumental measurements (since the late 1800s), was 2005. This color-coded map displays a long term progression of changing global surface temperatures, from 1881 to 2009. Dark red indicates the greatest warming and dark blue indicates the greatest cooling. For more information on the data used to generate these images, please see http://data.giss.nasa.gov/gistemp. || ",
            "hits": 46
        },
        {
            "id": 3681,
            "url": "https://svs.gsfc.nasa.gov/3681/",
            "result_type": "Visualization",
            "release_date": "2010-02-11T00:00:00-05:00",
            "title": "2009 El Niño & 2010 La Niña",
            "description": "Sea Surface Height Anomalies (SSHA) are differences above and below normally observed sea surface heights. Large sustained above average areas (shown in orange and red) off the western coast of South America are an indicator of an El Niño event. In contrast, large sustained below average areas (shown in blue and violet) off the western South American coast are indicators of a La Niña event. This visualization shows the formation of an El Niño event towards the end of 2009 followed by a 2010 La Niña event. || ",
            "hits": 37
        },
        {
            "id": 3674,
            "url": "https://svs.gsfc.nasa.gov/3674/",
            "result_type": "Visualization",
            "release_date": "2010-01-27T13:00:00-05:00",
            "title": "Five-Year Average Global Temperature Anomalies from 1881 to 2009",
            "description": "Each year, scientists at NASA Goddard Institute for Space Studies analyze global temperature data. The past year, 2009, tied as the second warmest year in the 130 years of global instrumental temperature records, in the surface temperature analysis of the NASA Goddard Institute for Space Studies (GISS). The Southern Hemisphere set a record as the warmest year for that half of the world. Global mean temperature, was 0.57°C (1.0°F) warmer than climatology (the 1951-1980 base period). Southern Hemisphere mean temperature was 0.49°C (0.88°F) warmer than in the period of climatology. The global record warm year, in the period of near-global instrumental measurements (since the late 1800s), was 2005. This color-coded map displays a long term progression of changing global surface temperatures, from 1881 to 2009. Dark red indicates the greatest warming and dark blue indicates the greatest cooling. For more information on the data used to generate these images, please see http://giss.nasa.gov/gistemp/ || ",
            "hits": 41
        },
        {
            "id": 3675,
            "url": "https://svs.gsfc.nasa.gov/3675/",
            "result_type": "Visualization",
            "release_date": "2010-01-26T14:00:00-05:00",
            "title": "Ten-Year Average Global Temperature Anomaly Image from 2000 to 2009",
            "description": "There is a high degree of interannual (year-to-year) and decadal variability in both global and hemispheric temperatures. Underlying this variability, however, is a long-term warming trend that has become strong and persistent over the past three decades. The long-term trends are more apparent when temperature is averaged over several years. This image represents the 10 year average temperatures anomaly data from 2000 through 2009. || ",
            "hits": 106
        },
        {
            "id": 3656,
            "url": "https://svs.gsfc.nasa.gov/3656/",
            "result_type": "Visualization",
            "release_date": "2009-10-17T00:00:00-04:00",
            "title": "Sea Level Rise \"What Ifs\" in the Southeastern United States",
            "description": "This visualization shows the Southeastern United States with population data over the land. Darker areas over land indicate higher population densities. Sea level scenarios are shown starting with 0 meters of sea level rise (current sea level) and proceeding through 9 meters of rise. Blue areas moving inland indicate where the coastline would be at various levels.We will likely see some sea level rise in our lifetimes, but the middle-to-higher levels in this visualization are unlikely in the next 100 years.This visualization is based on Shuttle Radar Topography Mission (SRTM) data. This data primarily measured canopy heights. So, this visualization is showing where water might reach the tops of the trees in various areas. || ",
            "hits": 38
        },
        {
            "id": 10503,
            "url": "https://svs.gsfc.nasa.gov/10503/",
            "result_type": "Produced Video",
            "release_date": "2009-10-12T00:00:00-04:00",
            "title": "Melting Ice, Rising Seas",
            "description": "Sea level rise is an indicator that our planet is warming. Much of the world's population lives on or near the coast, and rising seas are something worth watching. Sea level can rise for two reasons, both linked to a warming planet. When ice on land, such as mountain glaciers or the ice sheets of Greenland or Antarctica, melt, that water contributes to sea level rise. And when our oceans get warmer - another indicator of climate change - the water expands, also making sea level higher. Using satellites, lasers, and radar in space, and dedicated researchers on the ground, NASA is studying the Earth's ice and water to better understand how sea level rise might affect us all.For complete transcript, click here. || Melting_Seas_ipod_640x480.03027_print.jpg (1024x576) [80.7 KB] || Melting_Seas_ipod_640x480_web.png (320x180) [156.6 KB] || Melting_Seas_ipod_640x480_thm.png (80x40) [16.6 KB] || Melting_Seas_appletv_1280x720.webmhd.webm (960x540) [67.9 MB] || Melting_Seas_H264_1280x720_30fps.mov (1280x720) [128.9 MB] || Melting_Seas_1280x720.mp4 (1280x720) [125.1 MB] || Melting_Seas_broll_prores.mov (1280x720) [4.4 GB] || Melting_Seas_youtube_1280x720.mov (1280x720) [69.1 MB] || Melting_Seas_appletv_1280x720.m4v (960x540) [160.0 MB] || Melting_Seas_ipod_640x480.m4v (640x360) [49.7 MB] || Melting_Seas_ipod_320x240.m4v (320x180) [21.1 MB] || Rising_Seas.wmv (346x260) [38.5 MB] || ",
            "hits": 36
        },
        {
            "id": 3653,
            "url": "https://svs.gsfc.nasa.gov/3653/",
            "result_type": "Visualization",
            "release_date": "2009-10-08T00:00:00-04:00",
            "title": "Five-Year Average Global Temperature Anomalies for 1888,1918,1948,1978, 2008",
            "description": "Each year, scientists at NASA Goddard Institute for Space Studies analyze global temperature data. A rapid warming trend has occurred over the past 30 years. Calendar year 2008 was the coolest year since 2000, according to the Goddard Institute for Space Studies analysis of surface air temperature measurements. In this analysis, 2008 is the ninth warmest year in the period of instrumental measurements, which extends back to 1881. 2005 is the hottest year on record, and 2007 is tied with 1998 for second place. The Earth is experiencing the warmest level of the current interglacial period, or interval between ice ages, which has lasted nearly 12,000 years. This color-coded map displays a long term progression of changing global surface temperatures, from 1881 to 2008. Dark red indicates the greatest warming and dark blue indicates the greatest cooling. || ",
            "hits": 38
        },
        {
            "id": 3596,
            "url": "https://svs.gsfc.nasa.gov/3596/",
            "result_type": "Visualization",
            "release_date": "2009-04-21T00:00:00-04:00",
            "title": "Five-Year Average Global Temperature Anomalies from 1881 to 2008 for Science On a Sphere",
            "description": "Each year, scientists at NASA Goddard Institute for Space Studies analyze global temperature data. A rapid warming trend has occurred over the past 30 years. Calendar year 2008 was the coolest year since 2000, according to the Goddard Institute for Space Studies analysis of surface air temperature measurements. In this analysis, 2008 is the ninth warmest year in the period of instrumental measurements, which extends back to 1881. 2005 is the hottest year on record, and 2007 is tied with 1998 for second place. The Earth is experiencing the warmest level of the current interglacial period, or interval between ice ages, which has lasted nearly 12,000 years. This color-coded map displays a long term progression of changing global surface temperatures, from 1881 to 2008. Dark red indicates the greatest warming and dark blue indicates the greatest cooling. || ",
            "hits": 58
        },
        {
            "id": 3490,
            "url": "https://svs.gsfc.nasa.gov/3490/",
            "result_type": "Visualization",
            "release_date": "2008-01-16T00:00:00-05:00",
            "title": "Five-Year Average Global Temperature Anomalies from 1881 to 2007",
            "description": "Each year, scientists at NASA Goddard Institute for Space Studies analyze global temperature data. A rapid warming trend has occurred over the past 30 years, and the eight hottest years on the GISS record have occurred in the past decade. 2005 is the hottest year on record, and 2007 is tied with 1998 for second place. The Earth is experiencing the warmest level of the current interglacial period, or interval between ice ages, which has lasted nearly 12,000 years. This color-coded map displays a long term progression of changing global surface temperatures, from 1881 to 2007. Dark red indicates the greatest warming and dark blue indicates the greatest cooling. || ",
            "hits": 90
        },
        {
            "id": 3630,
            "url": "https://svs.gsfc.nasa.gov/3630/",
            "result_type": "Visualization",
            "release_date": "2007-01-05T00:00:00-05:00",
            "title": "Jakobshavn Glacier Calving Front Recession from 1851 to 2009",
            "description": "Jakobshavn Isbrae is located on the west coast of Greenland at Latitude 69 N. The ice front, where the glacier calves into the sea, receded more than 40 km between 1850 and 2006. Between 1850 and 1964 the ice front retreated at a steady rate of about 0.3 km/yr, after which it occupied approximately the same location until 2001, when the ice front began to recede again, but far more rapidly at about 3 km/yr. As more ice moves from glaciers on land into the ocean, it causes a rise in sea level. Jakobshavn Isbrae is Greenland's largest outlet glacier, draining 6.5 percent of Greenland's ice sheet area. The ice stream's speed-up and near-doubling of the ice flow from land into the ocean has increased the rate of sea level rise by about .06 millimeters (about .002 inches) per year, or roughly 4 percent of the 20th century rate of sea level increase. || ",
            "hits": 72
        },
        {
            "id": 3375,
            "url": "https://svs.gsfc.nasa.gov/3375/",
            "result_type": "Visualization",
            "release_date": "2006-09-25T00:00:00-04:00",
            "title": "Five-Year Average Global Temperature Anomalies from 1881 to 2006",
            "description": "Because of a rapid warming trend over the past 30 years, the Earth is now reaching and passing through the warmest levels seen in the last 12,000 years. This color-coded map shows a progression of changing global surface temperatures from 1881 to 2006, the warmest ranked year on record. || ",
            "hits": 55
        }
    ]
}