{ "count": 108, "next": "https://svs.gsfc.nasa.gov/api/search/?limit=100&offset=100&people=Joycelyn+Thomson", "previous": null, "results": [ { "id": 4867, "url": "https://svs.gsfc.nasa.gov/4867/", "result_type": "Visualization", "release_date": "2020-10-16T00:00:00-04:00", "title": "Annual Arctic Sea Ice Minimum 1979-2020 with Area Graph", "description": "Arctic Sea Ice Minimum 1979-2020, With Graph || sea_ice_minimum.1299_print.jpg (1024x576) [173.8 KB] || sea_ice_minimum.1299_print_searchweb.png (320x180) [81.5 KB] || sea_ice_minimum.1299_print_thm.png (80x40) [6.8 KB] || sea_ice_w_graph_2020 (1920x1080) [0 Item(s)] || sea_ice_minimum_1080p30.mp4 (1920x1080) [26.4 MB] || sea_ice_minimum_1080p30.webm (1920x1080) [5.2 MB] || sea_ice_minimum_1080p30.mp4.hwshow [206 bytes] || ", "hits": 190 }, { "id": 4786, "url": "https://svs.gsfc.nasa.gov/4786/", "result_type": "Visualization", "release_date": "2020-01-10T00:00:00-05:00", "title": "Annual Arctic Sea Ice Minimum 1979-2019 with Area Graph", "description": "Arctic Sea Ice Minimum 1979-2019, With Graph || sea_ice_minimum.1200_print.jpg (1024x576) [138.6 KB] || sea_ice_minimum.1200_searchweb.png (320x180) [98.2 KB] || sea_ice_minimum.1200_thm.png (80x40) [7.7 KB] || minimum_with_graph (1920x1080) [0 Item(s)] || sea_ice_minimum_1080p30.mp4 (1920x1080) [26.2 MB] || sea_ice_minimum_1080p30.webm (1920x1080) [4.7 MB] || sea_ice_minimum_1080p30.mp4.hwshow [218 bytes] || ", "hits": 58 }, { "id": 4706, "url": "https://svs.gsfc.nasa.gov/4706/", "result_type": "Visualization", "release_date": "2019-07-28T00:00:00-04:00", "title": "Greenland's Hiawatha Crater", "description": "This visualization shows the location of the Hiawatha Glacier near Inglefield Land in northwest Greenland. The surface of the ice sheet fades away to show the impact crater discovered beneath the ice sheet. A red cylinder shows the best-fit rim of the impact crater and a measuring stick shows that the diameter of the crater is more than 31 kilometers across. The size of the crater is compared to the cities of Washington, DC and Paris, France.The visualization also shows how the scientists from Germany's Alfred Wegener Institute (AWI) flew the Polar 6 aircraft (a DC-3T) to collect radar data over the Hiawatha impact crater. The radar data is shown in detail as curtains of the radar data are dissolved away to display the layers of the ice sheet in the interior of the crater. || Hiawatha.0590_print.jpg (1024x576) [150.4 KB] || Hiawatha.0590_searchweb.png (320x180) [88.4 KB] || Hiawatha.0590_thm.png (80x40) [6.2 KB] || 4706_Hiawatha_Crater.webmhd.webm (1080x606) [23.5 MB] || 4706_Hiawatha_Crater.mp4 (1920x1080) [228.6 MB] || 3840x2160_16x9_30p (3840x2160) [0 Item(s)] || 4706_Hiawatha_Crater.en_US.vtt [2.1 KB] || 4706_Hiawatha_Crater.en_US.srt [2.0 KB] || Hiawatha_Prores_4k.mp4 (3840x2160) [566.2 MB] || 4706_Hiawatha_Crater.mov (1920x1080) [1.9 GB] || Hiawatha_Prores_4k.mov (3840x2160) [7.6 GB] || ", "hits": 73 }, { "id": 4726, "url": "https://svs.gsfc.nasa.gov/4726/", "result_type": "Visualization", "release_date": "2019-03-27T00:00:00-04:00", "title": "New Island forms in Tonga (Updated)", "description": "This visualization shows the evolution Tonga's new island between January 2015 and March 2018. || Tonga_evolutn.1300_print.jpg (1024x576) [129.1 KB] || Tonga_evolutn.1300_searchweb.png (320x180) [84.2 KB] || Tonga_evolutn.1300_web.png (320x180) [84.2 KB] || Tonga_evolutn_Wcredits_1080p30.mp4 (1920x1080) [43.0 MB] || Tonga_evolutn_Wcredits_1080p30_h265.mp4 (1920x1080) [17.9 MB] || Tonga_evolutn_Wcredits_1080p30.webm (1920x1080) [5.8 MB] || Tonga_evolutn_Wcredits_2160p30_h265.mp4 (3840x2160) [50.9 MB] || 3840x2160_16x9_30p (3840x2160) [0 Item(s)] || Tonga_evolutn_Wcredits_2160p30.mp4 (3840x2160) [140.4 MB] || Tonga_evolutn_Wcredits_1080p30_h265.mp4.hwshow || ", "hits": 209 }, { "id": 4688, "url": "https://svs.gsfc.nasa.gov/4688/", "result_type": "Visualization", "release_date": "2019-03-25T12:00:00-04:00", "title": "Jakobshavn's Interrupted Thinning Explained", "description": "This visualization shows a variety of data from the oceans and ice to help explain why the Jakobshavn glacier grew thicker and advanced between 2016 and 2017.This video is also available on our YouTube channel. || Jakob_comp_final.3462_print.jpg (1024x576) [311.2 KB] || Jakob_comp_final_1080p30.webmhd.webm (1080x606) [30.5 MB] || Jakobshavn_1080p30.webm (1920x1080) [15.9 MB] || final_composite (1920x1080) [0 Item(s)] || Jakobshavn_720p30.mp4 (1280x720) [110.0 MB] || Jakobshavn_1080p30.mp4 (1920x1080) [201.3 MB] || Jakobshavn_youtube_1080p.mp4 (1920x1080) [241.5 MB] || captions_silent.26988.en_US.srt [43 bytes] || captions_silent.26988.en_US.vtt [56 bytes] || Jakobshavn_1080p30.mp4.hwshow [184 bytes] || ", "hits": 64 }, { "id": 4693, "url": "https://svs.gsfc.nasa.gov/4693/", "result_type": "Visualization", "release_date": "2019-02-28T09:00:00-05:00", "title": "Precipitation Anomaly and Dengue Outbreaks in South East Asia: 2015-2016", "description": "The 2015-2016 El Niño event brought changes to weather conditions across the globe that triggered regional disease outbreaks, including mosquito-borne dengue fever in Southeast Asia. This visualization with corresponding timeplot graph reveals the relationship between precipitation anomaly in Southeast Asia and dengue outbreaks. Drier than normal habitats drew mosquitoes into populated, urban areas containing the open water needed for laying eggs. As the air warmed, mosquitoes also grew hungrier and reached sexual maturity more quickly, resulting in an increase in mosquito bites. || SEAsia_PrecipDengueComposite_1920x1080_1211_print.jpg (1024x576) [75.8 KB] || SEAsia_PrecipDengueComposite_1920x1080_1211_searchweb.png (320x180) [52.9 KB] || SEAsia_PrecipDengueComposite_1920x1080_1211_thm.png (80x40) [5.4 KB] || SEAsia_PrecipDengueComposite_1920x1080_p30.webm (1920x1080) [6.4 MB] || SEAsia_PrecipDengue_Composite (1920x1080) [0 Item(s)] || SEAsia_PrecipDengueComposite_1920x1080_p30.mp4 (1920x1080) [14.8 MB] || SEAsia_PrecipDengueComposite_1920x1080_1211.tif (1920x1080) [1.5 MB] || SEAsia_PrecipDengueComposite (3840x2160) [0 Item(s)] || ", "hits": 53 }, { "id": 4695, "url": "https://svs.gsfc.nasa.gov/4695/", "result_type": "Visualization", "release_date": "2019-02-28T09:00:00-05:00", "title": "Niño 3.4 Index and Sea Surface Temperature Anomaly Timeline: 1982-2017", "description": "This visualization captures Sea Surface Temperature (SST) anomalies around the world from 1982 to 2017, along with a corresponding timeplot graph focusing on the Niño 3.4 SST Index region (5N-5S, 120W-170W), which represents average equatorial sea surface temperatures in the Pacific Ocean from about the International Date Line to the coast of South America. Highlighted in the timeline are the El Niño years, in which sea surface temperature anomalies peaked: 1982-1983, 1997-1998, and 2015-2016. || NINO3.4SST_FlatMapComposite_1920x1080_00932_print.jpg (1024x576) [104.9 KB] || NINO3.4SST_FlatMapComposite_1920x1080_00932_searchweb.png (320x180) [72.1 KB] || NINO3.4SST_FlatMapComposite_1920x1080_00932_thm.png (80x40) [6.8 KB] || SST_Nino3.4Index_1982_2017_Composite (1920x1080) [0 Item(s)] || NINO3.4SST_FlatMapComposite_1920x1080_p30.mp4 (1920x1080) [57.2 MB] || NINO3.4SST_FlatMapComposite_1920x1080_00932.tif (1920x1080) [1.4 MB] || NINO3.4SST_FlatMapComposite_1920x1080_p30.webm (1920x1080) [9.3 MB] || SSTNino3.4Index_1982_2017_Composite (3840x2160) [0 Item(s)] || ", "hits": 410 }, { "id": 4696, "url": "https://svs.gsfc.nasa.gov/4696/", "result_type": "Visualization", "release_date": "2019-02-28T09:00:00-05:00", "title": "Land Surface Temperature Anomaly and Dengue Outbreaks in South East Asia Region: 2015-2016", "description": "The 2015-2016 El Niño event brought changes to weather conditions across the globe that triggered regional disease outbreaks, including mosquito-borne dengue fever in Southeast Asia. This visualization with corresponding timeplot graph reveals the relationship between land surface temperature anomaly in Southeast Asia and dengue outbreaks. Higher than normal land surface temperatures results in an increase of dengue reported locations. || SEAsia_LSTDiseases_1920x1080_1730_print.jpg (1024x576) [85.1 KB] || SEAsia_LSTDiseases_1920x1080_1730_searchweb.png (320x180) [54.4 KB] || SEAsia_LSTDiseases_1920x1080_1730_thm.png (80x40) [5.3 KB] || SEAsia_LSTDengue_Composite (1920x1080) [0 Item(s)] || SEAsia_LSTDiseases_1920x1080_p30.mp4 (1920x1080) [33.8 MB] || SEAsia_LSTDiseases_1920x1080_1730.tif (1920x1080) [1.7 MB] || SEAsia_LSTDiseases_1920x1080_p30.webm (1920x1080) [6.2 MB] || SEAsia_LSTDengue_Composite (3840x2160) [0 Item(s)] || ", "hits": 37 }, { "id": 4697, "url": "https://svs.gsfc.nasa.gov/4697/", "result_type": "Visualization", "release_date": "2019-02-28T09:00:00-05:00", "title": "ENSO teleconnections in South East Asia for the period of 2015-2016", "description": "The 2015-2016 strong El Niño event brought changes to weather conditions across the globe that triggered regional infectious disease outbreaks, including mosquito-borne dengue fever in South East Asia. This visualization with corresponding multi-plot graph shows how Sea Surface Temperature anomalies in the equatorial Pacific Ocean (left), resulted in anomalous drought conditions (center) and increase in land surface temperatures (right) in South East Asia. During the 2015-2016 El Niño event, the South East Asia region received below than normal precipitation resulting in drier and warner than normal conditions, which increased the populations of mosquito vectors in urban areas, where there are open water storage containers providing ideal habitats for mosquito production. In addition, the higher than normal temperature on land shortens the maturation time of larvae to adult mosquitos and induces frequent blood feeding/biting of humans by mosquito vectors resulting in the amplification of dengue disease outbreaks over the South East Asia region. || SST_LST_Precip_2014_2016_Comp_print.jpg (1024x576) [82.9 KB] || SST_LST_Precip_2014_2016_Comp_searchweb.png (320x180) [51.5 KB] || SST_LST_Precip_2014_2016_Comp_thm.png (80x40) [6.0 KB] || SST_Precip_LST_Plot_Composite (1920x1080) [0 Item(s)] || SST_LST_Precip_2014_2016_Comp_1080p30.mp4 (1920x1080) [9.7 MB] || SST_LST_Precip_2014_2016_Comp.tif (1920x1080) [1.1 MB] || SST_LST_Precip_2014_2016_Comp_1080p30.webm (1920x1080) [4.2 MB] || TeleconnectionsSEAsia (3840x2160) [0 Item(s)] || SST_LST_Precip_2014_2016_Comp_1080p30.mp4.hwshow [203 bytes] || ", "hits": 112 }, { "id": 4691, "url": "https://svs.gsfc.nasa.gov/4691/", "result_type": "Visualization", "release_date": "2019-02-11T11:00:00-05:00", "title": "A possible second large subglacial impact crater in northwest Greenland", "description": "As this visualization draws near to the northwest coast of Greenland where the Hiawatha Glacier is located, the ice sheet is cut away to show the topography of Greenland's bedrock lying beneath the ice sheet at 20x vertical exaggeration. The Hiawatha crater is clearly visible in the topography. Farther inland another, subtler circular depression can be seen. The edge picks of this depression are shown as vertical bars, while potential central peaks are marked by orange pyramids. As we rotate around the depression, the location of the best-fit circle to the edge picks appears and that circle's center is marked with an \"X\". This circle matches well with both the edge of the bedrock depression and also the residual slope of the ice surface as it flows over this depression (not shown), strongly supporting the inference that this depression is another large impact crater.This video is also available on our YouTube channel. || C2_Crater_4k.1524_print.jpg (1024x576) [111.8 KB] || C2_Crater_4k.1524_searchweb.png (320x180) [88.0 KB] || C2_Crater_4k.1524_thm.png (80x40) [7.2 KB] || C2_Crater_4k_1080p30_low.mp4 (1920x1080) [23.1 MB] || C2_Crater_4k_1080p30.mp4 (1920x1080) [47.8 MB] || C2_Crater_4k_1080p30.webmhd.webm (1080x606) [11.6 MB] || C2_Crater_4k_2160p30_low.mp4 (3840x2160) [48.2 MB] || C2_Crater_4k_2160p30.mp4 (3840x2160) [85.9 MB] || 3840x2160_16x9_30p (3840x2160) [0 Item(s)] || captions_silent.24907.en_US.srt [43 bytes] || captions_silent.24907.en_US.vtt [56 bytes] || C2_Crater_4K_YouTube.mp4 (3840x2160) [245.6 MB] || C2_Crater_4K_ProRes.mov (3840x2160) [3.4 GB] || C2_Crater_4k_1080p30_low.mp4.hwshow [190 bytes] || ", "hits": 58 }, { "id": 4572, "url": "https://svs.gsfc.nasa.gov/4572/", "result_type": "Visualization", "release_date": "2018-11-14T14:00:00-05:00", "title": "The Hiawatha Impact Crater", "description": "The series of visualizations below are derived from satellite imagery and radar sounding. They portray both the location and size of the 31-kilometer-wide impact crater beneath Hiawatha Glacier. They also portray the structure of the glacier ice that flows into and fills the crater.The Hiawatha impact crater was first suspected to exist in the summer of 2015, from examination of a compilation of Greenland's sub-ice topography radar measurements made by NASA over two decades. The visualizations of the subsurface shown below are derived from a spring 2016 airborne survey by Germany's Alfred Wegener Institute, using a new ultrawideband radar sounder developed by the Center for Remote Sensing of Ice Sheets at The University of Kansas. Subsequent helicopter visits to the deglaciated terrain in front of Hiawatha Glacier by scientists from the Natural History Museum in Denmark recovered sediment samples from the main river that discharges water from beneath Hiawatha Glacier, through the northwestern rim breach. Laboratory examination revealed that these sediment samples contained shocked quartz and elevated platinum-group-element concentrations, both signs that the sediment records evidence of the impact of an iron asteroid more than one kilometer wide. The Hiawatha impact crater is potentially one of the youngest large impact craters on Earth.In the visualizations below, the elevation of the topography of the bed, the ice surface and the radar curtains have been exaggerated ten times in order to better illustrate their structure. || ", "hits": 212 }, { "id": 4685, "url": "https://svs.gsfc.nasa.gov/4685/", "result_type": "Visualization", "release_date": "2018-10-04T09:55:00-04:00", "title": "Inside Hurricane Maria in 360°", "description": "Tour Hurricane Maria in a whole new way! Late on September 17, 2017 (10:08 p.m. EDT) Category 1 Hurricane Maria was strengthening in the Atlantic Ocean when the Global Precipitation Measurement (GPM) mission's Core Observatory flew over it. The Dual Frequency Precipitation Radar, measuring in a narrow band over the storm center, shows 3-D estimates of rain, with snow at higher altitudes. The tall \"hot towers\" characteristic of deepening hurricanes are actually topped by snow! Surface rainfall rates estimated by the GPM Microwave Imager paint the surface over a wider swath. During the tour, you'll see the radar-observed rain intensities displayed three different ways in various parts of the storm. Then, for the first time you'll see estimates of the precipitation particle sizes, which the GPM DPR is uniquely capable of showing, and which provide important insights into storm processes.GPM is a joint mission between NASA and the Japanese space agency JAXA. || ", "hits": 75 }, { "id": 13079, "url": "https://svs.gsfc.nasa.gov/13079/", "result_type": "Produced Video", "release_date": "2018-10-04T09:00:00-04:00", "title": "Inside Hurricane Maria in 360°", "description": "Two days before Hurricane Maria devastated Puerto Rico, the NASA-Japan Global Precipitation Measurement Core Observatory satellite captured a 3-D view of the storm. At the time Maria was a Category 1 hurricane. The 3-D view reveals the processes inside the hurricane that would fuel the storm’s intensification to a category 5 within 24 hours.For the first time in 360-degrees, this data visualization takes you inside the hurricane. The precipitation satellite has an advanced radar that measures both liquid and frozen water. The brightly colored dots show areas of rainfall, where green and yellow show low rates and red and purple show high rates. At the top of the hurricane, where temperatures are colder, blue and purple dots show light and heavy frozen precipitation. The colored areas below the dots show how much rain is falling at the surface. Created by: NASA's Scientific Visualization Studio and NASA's Goddard Space Flight CenterData Sources:• NASA/GPM Dual Precipitation Radar (DPR) precipitation rate and drop size distribution data• NASA/GPM GPM Microwave Imager (GMI) ground precipitation data• NASA/Bluemarble land imagery• NOAA/GOES16 cloud data• Hipparcos/Telescope/Tycho 2 Catalogue || ", "hits": 116 }, { "id": 13056, "url": "https://svs.gsfc.nasa.gov/13056/", "result_type": "Produced Video", "release_date": "2018-09-27T11:00:00-04:00", "title": "EPIC New Science from 1 Million Miles Away", "description": "NASA's Earth Polychromatic Imaging Camera (EPIC) sits onboard NOAA's Deep Space Climate Observatory (DSCOVR) satellite at the Lagrange point 1, a million miles away from Earth. EPIC has been imaging the sunlit side of Earth between 13 and 22 times a day since 2015. Now, scientists have developed ways to use these images to study specific elements of our home planet's atmosphere and plant life, like ozone in the stratosphere, the makeup of clouds and the health of vegetation on land. || ", "hits": 93 }, { "id": 4686, "url": "https://svs.gsfc.nasa.gov/4686/", "result_type": "Visualization", "release_date": "2018-09-27T00:00:00-04:00", "title": "Annual Arctic Sea Ice Minimum 1979-2018 with Area Graph", "description": "Annual Arctic Sea Ice Minimum Area, With Graph || sea_ice_minimum.1200_print.jpg (1024x576) [145.7 KB] || sea_ice_minimum.1200_searchweb.png (320x180) [98.0 KB] || sea_ice_minimum.1200_web.png (320x180) [98.0 KB] || min_w_graph (1920x1080) [0 Item(s)] || sea_ice_minimum_1080p30.mp4 (1920x1080) [26.0 MB] || sea_ice_minimum_1080p30.webm (1920x1080) [4.7 MB] || ", "hits": 112 }, { "id": 4635, "url": "https://svs.gsfc.nasa.gov/4635/", "result_type": "Visualization", "release_date": "2018-06-15T11:00:00-04:00", "title": "Visualizations of Hunga Tonga Hunga Ha'apai and the Martian Landscape", "description": "In early 2015, a volcanic eruption in the Kingdom of Tonga created a new island informally known as Hunga Tonga Hunga Ha'apai (HTHH). The subsequent evolution of the new island was previously described in \"The Birth of a New Island\" available here. Below are additional visualizations, including an updated view of the island's appearance in March 2018 as well as some visualizations of the martian surface. Results of this study can enhance our understanding of numerous small volcanic landforms on Mars whose formation may have been in shallow-water environments during epochs when persistent surface water was present.The complete visualization of \"Using Earth to understand how water may have affected volcanoes on Mars\" is available here.Learn more about the evolution of Earth's newest island and how it could reveal new information about the presence of water on Mars: https://agupubs.onlinelibrary.wiley.com/doi/full/10.1002/2017GL076621 || ", "hits": 75 }, { "id": 4631, "url": "https://svs.gsfc.nasa.gov/4631/", "result_type": "Visualization", "release_date": "2018-04-26T10:00:00-04:00", "title": "Global Landslide Hazard Assessment Model (LHASA) with Global Landslide Catalog (GLC) data", "description": "Landslides occur when an environmental trigger like an extreme rain event, often a severe storm or hurricane, and gravity's downward pull sets soil and rock in motion. Conditions beneath the surface are often unstable already, so the heavy rains act as the last straw that causes mud, rocks, or debris- or all combined- to move rapidly down mountains and hillsides. Unfortunately, people and property are often swept up in these unexpected mass movements. Landslides can also be caused by earthquakes, surface freezing and thawing, ice melt, the collapse of groundwater reservoirs, volcanic eruptions, and erosion at the base of a slope from the flow of river or ocean water. But torrential rains most commonly activate landslides. A new model has been developed to look at how potential landslide activity is changing around the world. A global Landslide Hazard Assessment model for Situational Awareness (LHASA) has been developed to provide an indication of where and when landslides may be likely around the world every 30min. This model uses surface susceptibility (including slope, vegetation, road networks, geology, and forest cover loss) and satellite rainfall data from the Global Precipitation Measurement (GPM) mission to provide moderate to high “nowcasts.” This visualization shows the landslide nowcast results leveraging nearly two decades of Tropical Rainfall Measurement Mission (TRMM) rainfall over 2001-2016 to identify a landslide climatology by month at a 1 km grid cell. The average nowcast values by month highlight the key landslide hotspots, such as the Southeast Asia during the monsoon season in June through August and the U.S. Pacific Northwest in December and January. Overlaid with these nowcasts values are a Global Landslide Catalog (GLC) was developed with the goal of identifying rainfall-triggered landslide events around the world, regardless of size, impact, or location. The GLC considers all types of mass movements triggered by rainfall, which have been reported in the media, disaster databases, scientific reports, or other sources. The visualization shows the distribution of landslides each month based on the estimated number of fatalities the event caused. The GLC has been compiled since 2007 at NASA Goddard Space Flight Center and contains over 11,000 reports and growing. A new project called the Community the Cooperative Open Online Landslide Repository, or COOLR, provides the opportunity for the community to view landslide reports and contribute their own. The goal of the COOLR project is to create the largest global public online landslide catalog available and open to for anyone everyone to share, download, and analyze landslide information. More information on this system is available at: https://landslides.nasa.govThe Global Landslide Catalog is currently available here: https://catalog.data.gov/dataset/global-landslide-catalog-export || ", "hits": 197 }, { "id": 4640, "url": "https://svs.gsfc.nasa.gov/4640/", "result_type": "Visualization", "release_date": "2018-04-25T12:00:00-04:00", "title": "Close-up Views of the Global Landslide Hazard Assessment Model (LHASA) overlaid with Global Landslide Catalog (GLC) data", "description": "A close-up view of the potential landslide activity during July in Southeast Asia as evaluated by NASA's Landslide Hazard Assessment model for Situational Awareness. In the Download tab to the right, a set of 12 still images provides high-resolution (9,600x5,400) global maps to allow for close-up views in any location around the world. The images showcase the landslide climatology by month overload with the distribution of reported landslide fatalities for the period 2007-2017. || 07_ClimatologyMonthlyFatalities_032818_Asia_CloseUp_print.jpg (1024x576) [188.1 KB] || 07_ClimatologyMonthlyFatalities_032818_Asia_CloseUp_searchweb.png (320x180) [84.5 KB] || 07_ClimatologyMonthlyFatalities_032818_Asia_CloseUp_thm.png (80x40) [7.7 KB] || 07_ClimatologyMonthlyFatalities_032818_Asia_CloseUp.tif (1920x1080) [7.9 MB] || MonthlyClimatologyFatalities (9600x5400) [0 Item(s)] || ", "hits": 69 }, { "id": 4632, "url": "https://svs.gsfc.nasa.gov/4632/", "result_type": "Visualization", "release_date": "2018-04-23T15:00:00-04:00", "title": "Global Landslide Catalog (Update 2017)", "description": "This entry contains updated maps generated for Glocal Landslide Catalog Aids View From Space, released on April 16, 2015Landslides are among the most common and dramatic natural hazards, reshaping landscapes -- and anything in their path. Tracking when and where landslides occur worldwide has historically been difficult, because of the lack of a centralized database across all nations. But NASA researchers have updated the first publicly available Global Landslide Catalog (GLC), based on media reports and online databases that bring together many sources of information on landslides that have occurred. The GLC has been compiled since 2007 at NASA's Goddard Space Flight Center and was originally released in 2010. Around 10,804 landslides are noted in the catalog for the period 2007-2017. This wealth of data gives scientists a starting point to analyze where, how and why landslides are likely to occur. The catalog is currently available here: https://catalog.data.gov/dataset/global-landslide-catalog-exportRecently, a new model was developed to look at how potential landslide activity is changing around the world. A global Landslide Hazard Assessment model for Situational Awareness (LHASA) has been developed to provide an indication of where and when landslides may be likely around the world every 30 minutes. This model uses surface susceptibility (including slope, vegetation, road networks, geology, and forest cover loss) and satellite rainfall data from the Global Precipitation Measurement (GPM) mission to provide moderate to high “nowcasts.” For more information about this new model, please visit: New NASA Model Finds Landslide Threats in Near Real-Time During Heavy Rains\" || ", "hits": 98 }, { "id": 4628, "url": "https://svs.gsfc.nasa.gov/4628/", "result_type": "Visualization", "release_date": "2018-03-23T13:00:00-04:00", "title": "Sea Ice Maximum extent 2018", "description": "This visualization shows the Arctic sea ice as it expands from October 1, 2017 to its annual maximum extent that occurred on March 17th, 2018.This video is also available on our YouTube channel. || SeaIceMax_2018.1071_print.jpg (1024x576) [195.9 KB] || SeaIceMax_2018_1080p30.mp4 (1920x1080) [41.1 MB] || SeaIceMax_2018_2160p30.webm (3840x2160) [7.6 MB] || Sea_Ice_with_dates (3840x2160) [0 Item(s)] || SeaIceMax_2018_2160p30.mp4 (3840x2160) [134.9 MB] || ArcticSeaIceMax_2018_YouTube_2160p30.mp4 (3840x2160) [171.5 MB] || SeaIceMax_2018_1080p30.mp4.hwshow [216 bytes] || ", "hits": 35 }, { "id": 4633, "url": "https://svs.gsfc.nasa.gov/4633/", "result_type": "Visualization", "release_date": "2018-03-22T10:00:00-04:00", "title": "Landslide Activity in the Americas for the Cover of Earth's Future", "description": "A view of the potential landslide activity during January in the Americas, as evaluated by NASA's Landslide Hazard Assessment model for Situational Awareness (LHASA). This still image is provided in 300dpi (print resolution) and in separate layers (water, data, land, outlines). || ClimatologyJanuary_Cover_Light_Layers_Preview_print.jpg (1024x1024) [125.1 KB] || ClimatologyJanuary_Cover_Light_Layers_Preview.png (2550x2550) [2.5 MB] || ClimatologyJanuary_Cover_Light_Layers_Preview_searchweb.png (320x180) [34.2 KB] || ClimatologyJanuary_Cover_Light_Layers_Preview_thm.png (80x40) [3.4 KB] || ClimatologyJanuary_Cover_Light_Layers_300dpi.tif (2550x2550) [16.4 MB] || ", "hits": 61 }, { "id": 4602, "url": "https://svs.gsfc.nasa.gov/4602/", "result_type": "Visualization", "release_date": "2017-12-11T10:00:00-05:00", "title": "New island forms in Tonga", "description": "This visualization shows the change in the island of Hunga Tonga Hunga Ha'apa between January 2015 and September 2017.This video is also available on our YouTube channel. || Tonga_v60_vis.0780_print.jpg (1024x576) [123.5 KB] || Tonga_v60_vis.0780_searchweb.png (320x180) [76.8 KB] || Tonga_v60_vis.0780_thm.png (80x40) [6.0 KB] || new_island_vis (1920x1080) [0 Item(s)] || Tonga_v60_vis_1080p30.mp4 (1920x1080) [33.3 MB] || Tonga_v60_vis_1080p30.webm (1920x1080) [5.1 MB] || Tonga_4k_final2_1080p30.mp4 (1920x1080) [34.3 MB] || new_island_vis (3840x2160) [0 Item(s)] || Tonga_4k_final2_2160p30.mp4 (3840x2160) [52.0 MB] || Tonga_v60_vis_1080p30.mp4.hwshow [187 bytes] || ", "hits": 114 }, { "id": 4592, "url": "https://svs.gsfc.nasa.gov/4592/", "result_type": "Visualization", "release_date": "2017-10-16T00:00:00-04:00", "title": "Annual Arctic Sea Ice Minimum 1979-2017 (SSMI data)", "description": "The annual minimum Arctic sea ice from 1979-2017. || seaIce_framePerYear_HD.2017_print.jpg (1024x576) [141.0 KB] || seaIce_framePerYear_HD.2017_searchweb.png (320x180) [88.9 KB] || seaIce_framePerYear_HD.2017_thm.png (80x40) [6.3 KB] || nodates (1920x1080) [0 Item(s)] || no_dates_20fps (1920x1080) [0 Item(s)] || nodates_seaIce_20framesPerYear_HD_1080p30.mp4 (1920x1080) [14.3 MB] || nodates_seaIce_20framesPerYear_HD_1080p30.webm (1920x1080) [1.5 MB] || ", "hits": 66 }, { "id": 12690, "url": "https://svs.gsfc.nasa.gov/12690/", "result_type": "Produced Video", "release_date": "2017-08-22T09:00:00-04:00", "title": "An EPIC View of the 2017 Total Solar Eclipse", "description": "NASA's Earth Polychromatic Imaging Camera (EPIC) tracked the path of the total solar eclipse across North America on Aug. 21, 2017. On board NOAA's Deep Space Climate Observatory (DSCOVR), EPIC collected these natural color images. Scientists set the instrument to gather images more frequently than usual to study this eclipse.Learn more about how EPIC contributed to research conducted during the 2017 total solar eclipse. || ", "hits": 73 }, { "id": 4577, "url": "https://svs.gsfc.nasa.gov/4577/", "result_type": "Visualization", "release_date": "2017-07-08T00:00:00-04:00", "title": "Antarctic Sea Ice on August 28, 2016", "description": "This is an image of the Antarctic sea ice on August 28, 2016, the date on which the sea ice reached its maximum annual extent. The opacity of the sea ice is determined by the AMSR2 sea ice concentration. The blueish white color of the sea ice is a false color derived from the AMSR2 89 GHz brightness temperature. Over the Antarctic continent, the Landsat Image Mosaic of Antarctica data shown here has a resolution of 240 meters per pixel. || Antarctic_seaIce_max_2016_09_28_1080p_flat.11698_print.jpg (1024x576) [105.7 KB] || Antarctic_seaIce_max_2016_09_28_1080p_flat.11698_searchweb.png (320x180) [66.1 KB] || Antarctic_seaIce_max_2016_09_28_1080p_flat.11698_thm.png (80x40) [5.8 KB] || Antarctic_seaIce_max_2016_09_28_1080p_flat.11698.tif (1920x1080) [14.5 MB] || Antarctic_seaIce_max_2016_09_28_1080p_layers.11698.tif (1920x1080) [42.3 MB] || Antarctic_seaIce_max_2016_09_28_4k_flat.11698.tif (3840x2160) [55.8 MB] || Antarctic_seaIce_max_2016_09_28_4k_layers11698.tif (3840x2160) [167.0 MB] || ", "hits": 41 }, { "id": 4578, "url": "https://svs.gsfc.nasa.gov/4578/", "result_type": "Visualization", "release_date": "2017-07-08T00:00:00-04:00", "title": "Arctic Sea Ice Minimum Image: September 10, 2016", "description": "This image shows the Arctic sea ice on September 10, 2016 when the ice reached its minimum extent. The opacity of the sea ice is derived from the sea ice concentration where it is greater than 15%. The blueish white color of the sea ice is derived the AMSR2 89 GHz brightness temperature.The Japan Aerospace Exploration Agency (JAXA) provides many water-related products derived from data acquired by the Advanced Microwave Scanning Radiometer 2 (AMSR2) instrument aboard the Global Change Observation Mission 1st-Water \"SHIZUKU\" (GCOM-W1) satellite. Two JAXA datasets used in this animation are the 10-km daily sea ice concentration and the 10 km daily 89 GHz Brightness Temperature. || Arctic_Sea_Ice_Sep_10_2016.6398_print.jpg (1024x1024) [194.1 KB] || Arctic_Sea_Ice_Sep_10_2016.6398_searchweb.png (320x180) [81.8 KB] || Arctic_Sea_Ice_Sep_10_2016.6398_thm.png (80x40) [6.3 KB] || Arctic_Sea_Ice_Sep_10_2016.6398.tif (3200x3200) [52.2 MB] || ", "hits": 39 }, { "id": 4573, "url": "https://svs.gsfc.nasa.gov/4573/", "result_type": "Visualization", "release_date": "2017-05-31T10:00:00-04:00", "title": "Annual Arctic Sea Ice Minimum 1979-2016 with Area Graph", "description": "A visualization of the annual minimum Arctic sea ice from 1979 to 2016 with a graph overlay. (fast playback)This video is also available on our YouTube channel. || seaIceWgraph_2016_p30.0568_print.jpg (1024x576) [168.2 KB] || seaIceWgraph_2016_fast_1080p30.mp4 (1920x1080) [2.6 MB] || seaIceWgraph_2016_fast_1080p30.webmhd.webm (1080x606) [1.8 MB] || seaIceWgraph_2016_fast_2160p30.mp4 (3840x2160) [7.1 MB] || seaIce_withGraph (3840x2160) [0 Item(s)] || seaIceWgraph_2016_fast_1080p30.mp4.hwshow [196 bytes] || ", "hits": 61 }, { "id": 4521, "url": "https://svs.gsfc.nasa.gov/4521/", "result_type": "Visualization", "release_date": "2017-05-30T00:00:00-04:00", "title": "Image of the Arctic Sea ice - September 10, 2016", "description": "An image of the Arctic sea ice on September 6, 2016 with the 30-year average minimum extent indicated by a yellow line. || Arctic_Sea_Ice_Sept_10_2016_flat_small_print.jpg (1024x1024) [192.2 KB] || Arctic_Sea_Ice_Sept_10_2016_flat_small_searchweb.png (320x180) [92.0 KB] || Arctic_Sea_Ice_Sept_10_2016_flat_small_thm.png (80x40) [8.0 KB] || Arctic_Sea_Ice_Sept_10_2016_flat_medium.tif (1800x1800) [16.9 MB] || Arctic_Sea_Ice_Sept_10_2016_flat_small.tif (1200x1200) [7.7 MB] || Arctic_Sea_Ice_Sept_10_2016_layered3.psd (3600x3600) [163.0 MB] || Arctic_Sea_Ice_Sept_10_2016_layered_large.tif (3600x3600) [495.9 MB] || Arctic_Sea_Ice_Sept_10_2016_flat.tif (3600x3600) [60.0 MB] || ", "hits": 39 }, { "id": 4562, "url": "https://svs.gsfc.nasa.gov/4562/", "result_type": "Visualization", "release_date": "2017-03-22T12:00:00-04:00", "title": "Minimum Antarctic Sea Ice 2017", "description": "This movie begins at the 2016 Antarctic maximum on August 31, 2016 and shows daily sea ice concentration until the Antarctic minimum on March 3, 2017. The 2017 minimum had only 2.1 million square kilometers of sea ice extent below the previous lowest minimum extext in the satellite record that occurred in 1997. || SouthPoleSeaIce_max_min.3591_print.jpg (1024x576) [44.1 KB] || SouthPoleSeaIce_max_min.3591_searchweb.png (320x180) [39.9 KB] || SouthPoleSeaIce_max_min.3591_thm.png (80x40) [4.1 KB] || SouthPoleSeaIce_max_min.3591.tif (1920x1080) [1.5 MB] || SouthPole_Max_Min_1080p30.mp4 (1920x1080) [19.9 MB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || SouthPole_Max_Min_1080p30.webm (1920x1080) [4.7 MB] || SouthPole_Max_Min_1080p30.mp4.hwshow [191 bytes] || ", "hits": 60 }, { "id": 12476, "url": "https://svs.gsfc.nasa.gov/12476/", "result_type": "Produced Video", "release_date": "2017-03-13T12:00:00-04:00", "title": "At Glacial Speed", "description": "A NASA satellite tracks glaciers' slow but steady journey to the sea. || Seasonal_IceFlows_with_hold_BG.1299_1024x576.jpg (1024x576) [210.2 KB] || Seasonal_IceFlows_with_hold_BG.1299_1024x576_print.jpg (1024x576) [209.7 KB] || Seasonal_IceFlows_with_hold_BG.1299_1024x576_thm.png (80x40) [8.9 KB] || Seasonal_IceFlows_with_hold_BG.1299.tif (3840x2160) [10.8 MB] || ", "hits": 89 }, { "id": 4483, "url": "https://svs.gsfc.nasa.gov/4483/", "result_type": "Visualization", "release_date": "2017-01-25T00:00:00-05:00", "title": "Monitoring Chimpanzee Habitats in western Tanzania", "description": "This visualization shows one location of the area in western Tanzania where the Jane Goodall Institute is working. After focusing on the region to the southeast of the Gombe National Park, this visualization shows the change in forest cover between 1972 and 1999. Forested areas are shown in shades of green; non-forested regions are shown in shades of brown. || zoomin_swipe_72_99.0325_print.jpg (1024x576) [243.0 KB] || zoomin_swipe_72_99_1080p30.mp4 (1920x1080) [17.0 MB] || yrs_1972_vs_1999 (1920x1080) [0 Item(s)] || zoomin_swipe_72_99_1080p30.webm (1920x1080) [1.8 MB] || zoomin_swipe_72_99_4483.key [19.4 MB] || zoomin_swipe_72_99_4483.pptx [19.0 MB] || zoomin_swipe_72_99_1080p30.mp4.hwshow [224 bytes] || ", "hits": 45 }, { "id": 4535, "url": "https://svs.gsfc.nasa.gov/4535/", "result_type": "Visualization", "release_date": "2017-01-22T00:00:00-05:00", "title": "Arctic Sea Ice from January 1, 2013 to September 10, 2016", "description": "A visualization of the Arctic sea ice from January 1, 2013 through September 10, 2016, the date when the sea ice reached its annual minumum extent. The date is shown in the lower left corner.This video is also available on our YouTube channel. || ArcticSeaIce_withDate_4k.5399_print.jpg (1024x576) [118.6 KB] || ArcticSeaIce_withDate_4k.5399_searchweb.png (320x180) [78.3 KB] || ArcticSeaIce_withDate_4k.5399_thm.png (80x40) [5.8 KB] || ArcticSeaIce_withDate_HD_1080p30.mp4 (1920x1080) [56.5 MB] || WeeklySeaIceAge_with2Graphs_p30_1080p30.webmhd.webm (1080x606) [19.6 MB] || earthWithDate (1920x1080) [0 Item(s)] || earthWithDate (3840x2160) [0 Item(s)] || ArcticSeaIce_withDate_HD.key [59.0 MB] || ArcticSeaIce_withDate_HD.pptx [58.6 MB] || ArcticSeaIce_withDate_4k_2160p30.mp4 (3840x2160) [220.2 MB] || ArcticSeaIce_withDate_HD_1080p30.mp4.hwshow [198 bytes] || ", "hits": 32 }, { "id": 4528, "url": "https://svs.gsfc.nasa.gov/4528/", "result_type": "Visualization", "release_date": "2016-12-12T14:30:00-05:00", "title": "Seasonal Speed Variation on Heimdal Glacier", "description": "The NASA/USGS Landsat 8 mission has allowed new views of the Earth’s glaciers. By tracking displacement of local surface features through the seasons on outlet glaciers from the large ice sheets, researchers from the University of Alaska, the University of Bristol, and the University of Colorado have been able to show that each glacier around Greenland has a unique pattern of flow variation through the seasons. Seasonal variations, seen in this animation on the lower 25 kilometers of Heimdal Glacier in southeast Greenland, are caused by a combination of processes. For Heimdal, the largest forcing for flow variation is likely the input of increasing amounts of surface melt water through the Spring and Summer, but there is also an interplay between calving of ice from the end of the glacier, flow acceleration as shown in the animation, and thinning of the ice due to the extra stretching from the faster flow. By measuring these changes in flow on seasonal timescales, scientists can develop a better understanding of what controls the flow of these glaciers where they meet the ocean. This understanding will improve our ability to anticipate flow responses of these systems in a warming climate. || ", "hits": 63 }, { "id": 4529, "url": "https://svs.gsfc.nasa.gov/4529/", "result_type": "Visualization", "release_date": "2016-12-12T14:30:00-05:00", "title": "Seasonal Glacier Velocity on the Heimdal Glacier with a pause", "description": "This visualization shows the seasonal ice velocity on the Heimdal Glacier in Greenland between October 2013 and October 2016. The color of the flow vectors represent the speed of the flow, with purple representing the slow moving ice and red showing the faster moving ice. This visualization includes a pause highlighting when the velocity is at a seasonal low and again when it reaches a seasonal high. The color scale is displayed in the lower left corner. || Seasonal_IceFlows_with_hold.1299_print.jpg (1024x576) [233.1 KB] || Seasonal_IceFlows_with_hold.1299_searchweb.png (320x180) [132.3 KB] || Seasonal_IceFlows_with_hold.1299_thm.png (80x40) [8.3 KB] || SeasonalIceVel_withHold_1080p_p30.mp4 (1920x1080) [30.7 MB] || SeasonalIceVel_withHold_720p30.mp4 (1280x720) [16.3 MB] || Seasonal_IceFlows_with_hold_1080p30.webm (1920x1080) [2.8 MB] || IceVel_withPause_comp (1920x1080) [0 Item(s)] || Seasonal_IceFlows_with_hold_2160p30_2.mp4 (3840x2160) [77.3 MB] || IceVel_withPause_comp (3840x2160) [0 Item(s)] || SeasonalIceVel_withHold_1080p_p30.mp4.hwshow [199 bytes] || ", "hits": 33 }, { "id": 4522, "url": "https://svs.gsfc.nasa.gov/4522/", "result_type": "Visualization", "release_date": "2016-11-10T00:00:00-05:00", "title": "Weekly Animation of Arctic Sea Ice Age with Two Graphs: 1984 - 2016", "description": "This visualization shows the age of the sea ice between 1984 and 2016. Younger sea ice, or first-year ice, is shown in a dark shade of blue while the ice that is four years old or older is shown as white. Two bar graphs, described below, are shown in the lower left and right corners. This video is also available on our YouTube channel. || WeeklySeaIceAge_with2Graphs.4944_print.jpg (1024x576) [125.2 KB] || WeeklySeaIceAge_with2Graphs.4944_searchweb.png (320x180) [75.7 KB] || WeeklySeaIceAge_with2Graphs.4944_thm.png (80x40) [5.8 KB] || WeeklySeaIceAge_with2Graphs_p30_1080p30.mp4 (1920x1080) [75.8 MB] || WeeklySeaIceAge_with2Graphs_p30_1080p30.webmhd.webm (1080x606) [19.6 MB] || WeeklyIceAge_with2Graphs (3840x2160) [0 Item(s)] || WeeklyIceAge_with2Graphs (3840x2160) [0 Item(s)] || WeeklySeaIceAge_with2Graphs_4522.key [81.7 MB] || WeeklySeaIceAge_with2Graphs_4522.pptx [81.3 MB] || WeeklySeaIceAge_with2Graphs_p30_2160p30.mp4 (3840x2160) [127.0 MB] || the-earth-observing-fleet-by-theme-sea-ice-cover.hwshow || ", "hits": 44 }, { "id": 4489, "url": "https://svs.gsfc.nasa.gov/4489/", "result_type": "Visualization", "release_date": "2016-10-28T11:00:00-04:00", "title": "Yearly Arctic Sea Ice Age with Graph of Ice Age by Area: 1984 - 2016", "description": "One significant change in the Arctic region in recent years has been the rapid decline in perennial sea ice. Perennial sea ice, also known as multi-year ice, is the portion of the sea ice that survives the summer melt season. Perennial ice may have a life-span of nine years or more and represents the thickest component of the sea ice; perennial ice can grow up to four meters thick. By contrast, first year ice that grows during a single winter is generally at most two meters thick.This animation shows the Arctic sea ice age for the week of the minimum ice extent for each year, depicting the age in different colors. Younger sea ice, or first-year ice, is shown in a dark shade of blue while the ice that is four years old or older is shown as white. A color scale identifies the age of the intermediary years.Correction: The original release on 10/28/2016 incorrectly labeled the oldest category on the graph as \"5+\". This was corrected to read \"4+\" on 10/30/2016. || ", "hits": 58 }, { "id": 4509, "url": "https://svs.gsfc.nasa.gov/4509/", "result_type": "Visualization", "release_date": "2016-10-28T11:00:00-04:00", "title": "Weekly Animation of Arctic Sea Ice Age with Graph of Ice Age by Percent of Total: 1984 - 2016", "description": "One significant change in the Arctic region in recent years has been the rapid decline in perennial sea ice. Perennial sea ice, also known as multi-year ice, is the portion of the sea ice that survives the summer melt season. Perennial ice may have a life-span of nine years or more and represents the thickest component of the sea ice; perennial ice can grow up to four meters thick. By contrast, first year ice that grows during a single winter is generally at most two meters thick.Below is an animation of the weekly sea ice age between 1984 and 2016. The animation shows the seasonal variability of the ice, growing in the Arctic winter and melting in the summer. In addition, this also shows the changes from year to year, depicting the age of the sea ice in different colors. Younger sea ice, or first-year ice, is shown in a dark shade of blue while the ice that is four years old or older is shown as white. A color scale identifies the age of the intermediary years.A graph in the lower, right corner the quantifies the change over time by showing each age category of sea ice as a percent of total ice cover in the Arctic Ocean. The lavender outline on the map indicates the spatial region covered by the Arctic Ocean and thus included in the graph.Correction: The original release on 10/28/2016 incorrectly labeled the oldest category on the graph as \"5+\". This was corrected to read \"4+\" on 10/30/2016. || ", "hits": 50 }, { "id": 4510, "url": "https://svs.gsfc.nasa.gov/4510/", "result_type": "Visualization", "release_date": "2016-10-28T11:00:00-04:00", "title": "Weekly Animation of Arctic Sea Ice Age with Graph of Ice Age By Area: 1984 - 2016", "description": "One significant change in the Arctic region in recent years has been the rapid decline in perennial sea ice. Perennial sea ice, also known as multi-year ice, is the portion of the sea ice that survives the summer melt season. Perennial ice may have a life-span of nine years or more and represents the thickest component of the sea ice; perennial ice can grow up to four meters thick. By contrast, first year ice that grows during a single winter is generally at most two meters thick.Below is an animation of the weekly sea ice age between 1984 and 2016. The animation shows the seasonal variability of the ice, growing in the Arctic winter and melting in the summer. In addition, this also shows the changes from year to year, depicting the age of the sea ice in different colors. Younger sea ice, or first-year ice, is shown in a dark shade of blue while the ice that is four years old or older is shown as white. A color scale identifies the age of the intermediary years.A graph in the lower, right corner the quantifies the change over time by showing the area in millions of square kilometers covered by each age category of perennial sea ice. This graph also includes a memory bar - the green line that here represents the current maximum value seen thus far in the animation for the particular week displayed. For example, when showing the first week in September, the memory bar will show the maximum value seen for all prior years' first week of September since the beginning of the animation (January 1, 1984).Correction: The original release on 10/28/2016 incorrectly labeled the oldest category on the graph as \"5+\". This was corrected to read \"4+\" on 10/30/2016. || ", "hits": 104 }, { "id": 4494, "url": "https://svs.gsfc.nasa.gov/4494/", "result_type": "Visualization", "release_date": "2016-09-15T13:00:00-04:00", "title": "Arctic Sea Ice from March to September 2016", "description": "In this animation, the Earth rotates slowly as the Arctic sea ice advances over time from March 24, 2016 to September 10, 2016, when the sea ice reached its annual minimum extent. The 2016 Arctic minimum sea ice extent is the second lowest minimum extent on the satellite record. || seaIceMin_2016_p30.0680_print.jpg (1024x576) [139.6 KB] || seaIceMin_2016_p30.0680_searchweb.png (320x180) [90.7 KB] || seaIceMin_2016_p30.0680_thm.png (80x40) [6.6 KB] || seaIceMin_2016_p30_1080p30.mp4 (1920x1080) [13.4 MB] || seaIce_withDates (1920x1080) [0 Item(s)] || seaIce_withDates (1920x1080) [0 Item(s)] || seaIceMin_2016_p30_1080p30.webm (1920x1080) [2.6 MB] || seaIceMin_2016.key [16.0 MB] || seaIceMin_2016.pptx [15.7 MB] || seaIceMin_2016_p30_1080p30.mp4.hwshow [224 bytes] || ", "hits": 68 }, { "id": 4486, "url": "https://svs.gsfc.nasa.gov/4486/", "result_type": "Visualization", "release_date": "2016-08-19T00:00:00-04:00", "title": "Study Domain for the Arctic-Boreal Vulnerability Experiment", "description": "This image shows the core region (red outline) and extended region (purple outline) of the Arctic-Boreal Vulnerability Experiment over a background of the NDVI trend from 1983-2012. || ArcticGreeningImage_flat_print.jpg (1024x696) [278.1 KB] || ArcticGreeningImage_flat_searchweb.png (320x180) [152.1 KB] || ArcticGreeningImage_flat_thm.png (80x40) [21.3 KB] || ArcticGreeningImage_flat.tif (1000x680) [1.9 MB] || ", "hits": 31 }, { "id": 12321, "url": "https://svs.gsfc.nasa.gov/12321/", "result_type": "Produced Video", "release_date": "2016-07-28T11:00:00-04:00", "title": "One Year On Earth", "description": "A NASA camera records a year in the life of our planet. || c30-1024.jpg (1024x576) [120.0 KB] || c30-1280.jpg (1280x720) [169.0 KB] || c30-1920.jpg (1920x1080) [279.3 KB] || c30-1024_print.jpg (1024x576) [117.8 KB] || c30-1024_searchweb.png (320x180) [38.7 KB] || c30-1024_web.png (320x180) [38.7 KB] || c30-1024_thm.png (80x40) [3.4 KB] || ", "hits": 96 }, { "id": 12312, "url": "https://svs.gsfc.nasa.gov/12312/", "result_type": "Produced Video", "release_date": "2016-07-20T10:30:00-04:00", "title": "One Year In The Life of Earth", "description": "On July 20, 2015, NASA released to the world the first image of the sunlit side of Earth captured by the space agency's EPIC camera on NOAA's DSCOVR satellite. The camera has now recorded a full year of life on Earth from its orbit at Lagrange point 1, approximately 1 million miles from Earth, where it is balanced between the gravity of our home planet and the sun. EPIC takes a new picture every two hours, revealing how the planet would look to human eyes, capturing the ever-changing motion of clouds and weather systems and the fixed features of Earth such as deserts, forests and the distinct blues of different seas. EPIC will allow scientists to monitor ozone and aerosol levels in Earth’s atmosphere, cloud height, vegetation properties and the ultraviolet reflectivity of Earth.The primary objective of DSCOVR, a partnership between NASA, the National Oceanic and Atmospheric Administration (NOAA) and the U.S. Air Force, is to maintain the nation’s real-time solar wind monitoring capabilities, which are critical to the accuracy and lead time of space weather alerts and forecasts from NOAA.For more information about DSCOVR, visit: http://www.nesdis.noaa.gov/DSCOVR/. To view all the pictures EPIC has taken, visit https://epic.gsfc.nasa.gov. || ", "hits": 350 }, { "id": 4452, "url": "https://svs.gsfc.nasa.gov/4452/", "result_type": "Visualization", "release_date": "2016-06-02T09:50:00-04:00", "title": "Vegetation Greening Trend in Canada and Alaska: 1984-2012", "description": "This animation examines the change in the vegetation trend over Canada and Alaska between 1984 and 2012. || AG_v0020_Final.3975_print.jpg (1024x576) [213.8 KB] || AG_v0020_Final.3975_searchweb.png (180x320) [103.3 KB] || AG_v0020_Final.3975_thm.png (80x40) [6.9 KB] || AG_Final_mb150_slow_1080p30.mp4 (1920x1080) [38.0 MB] || AG_Final_mb150_slow_1080p60.mp4 (1920x1080) [38.0 MB] || 1920x1080_16x9_60p (1920x1080) [0 Item(s)] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || AG_Final_mb150_slow_1080p30.webm (1920x1080) [5.7 MB] || AG_Final_mb150_slow_1080p30.mp4.hwshow [226 bytes] || ", "hits": 82 }, { "id": 4435, "url": "https://svs.gsfc.nasa.gov/4435/", "result_type": "Visualization", "release_date": "2016-03-10T10:00:00-05:00", "title": "Annual Arctic Sea Ice Minimum 1979-2015 with Area Graph", "description": "An animation of the annual Arctic sea ice minimum with a graph overlay showing the area of the minimum sea ice in millions of square kilometers.This video is also available on our YouTube channel. || seaIceWgraph_HD.1079_print.jpg (1024x576) [160.4 KB] || seaIceWgraph_HD.1079_searchweb.png (320x180) [91.5 KB] || seaIceWgraph_HD.1079_thm.png (80x40) [6.8 KB] || seaIceWgraph_HD_1080p30.mp4 (1920x1080) [15.5 MB] || seaIceMin_withGraph (1920x1080) [0 Item(s)] || seaIceWgraph_HD_1080p30.webm (1920x1080) [2.9 MB] || seaIceMin_withGraph (3840x2160) [0 Item(s)] || seaIceWgraph_4k_2160p30.mp4 (3840x2160) [66.3 MB] || seaIceWgraph_HD_1080p30.mp4.hwshow [218 bytes] || ", "hits": 398 }, { "id": 4431, "url": "https://svs.gsfc.nasa.gov/4431/", "result_type": "Visualization", "release_date": "2016-02-24T16:00:00-05:00", "title": "Ozone Transport in the Tropical Western Pacific", "description": "An animation showing flight 13 from the CONTRAST campaign and the backflow trajectories. The trajectories are coloured by observed aircraft ozone level where blue values represent low concentrations of ozone and red represents high values. This includes a date and colorbar. || ozoneTransport_wColorBar2.1999_print.jpg (1024x576) [176.0 KB] || ozoneTransport_wColorBar2.1999_web.png (320x180) [93.8 KB] || ozoneTransport_wColorBar2.1999_thm.png (80x40) [7.2 KB] || ozoneTransport.1999_searchweb.png (320x180) [98.3 KB] || ozoneTransport_wColorBar2_1080p30.mp4 (1920x1080) [28.4 MB] || ozoneTransport_wColorBar2_1080p30.webm (1920x1080) [7.8 MB] || OzoneTransport_wColorBar (3840x2160) [0 Item(s)] || ozoneTransport_wColorBar2_2160p30.mp4 (3840x2160) [67.6 MB] || ozoneTransport_wColorBar2_1080p30.mp4.hwshow [238 bytes] || ", "hits": 60 }, { "id": 12118, "url": "https://svs.gsfc.nasa.gov/12118/", "result_type": "Produced Video", "release_date": "2016-01-07T11:00:00-05:00", "title": "Earth Time-lapse", "description": "See 62 days on our planet go by in 60 seconds. || c-1280.jpg (1280x720) [237.4 KB] || c-1024.jpg (1024x576) [167.5 KB] || c-1024_print.jpg (1024x576) [168.6 KB] || c-1024_searchweb.png (320x180) [71.9 KB] || c-1024_web.png (320x180) [71.9 KB] || c-1024_thm.png (80x40) [20.0 KB] || ", "hits": 392 }, { "id": 4407, "url": "https://svs.gsfc.nasa.gov/4407/", "result_type": "Visualization", "release_date": "2015-12-15T11:00:00-05:00", "title": "Monthly burned area from the Global Fire Emissions Database (GFED)", "description": "The final animation of the monthly burned area percent shown in the Robinson projection with a colorbar and date overlay || comp_burned_area_pct.2234_print.jpg (1024x576) [128.4 KB] || comp_burned_area_pct.2234_searchweb.png (320x180) [78.4 KB] || comp_burned_area_pct.2234_thm.png (80x40) [6.4 KB] || comp_burned_area_pct.2234_web.png (320x180) [78.4 KB] || comp_burned_area_pct_1080p30.mp4 (1920x1080) [44.1 MB] || comp_burned_area_pct_1080p30.webm (1920x1080) [8.4 MB] || robinson_final (1920x1080) [0 Item(s)] || Comp_burned_area_pct_720p30.mp4 (1280x720) [26.2 MB] || robinson_final (3840x2160) [0 Item(s)] || comp_burned_area_4407.key [29.7 MB] || comp_burned_area_4407.pptx [27.1 MB] || comp_burned_area_pct_4k_2160p30.mp4 (3840x2160) [142.3 MB] || comp_burned_area_pct_1080p30.mp4.hwshow [228 bytes] || ", "hits": 181 }, { "id": 4398, "url": "https://svs.gsfc.nasa.gov/4398/", "result_type": "Visualization", "release_date": "2015-11-18T00:00:00-05:00", "title": "Ocean Surface CO2 Flux with Wind Stress", "description": "This animation shows the ocean surface CO2 flux between 1/1/2009 and 12/31/2010. Blue colors indicate uptake and orange-red colors indicate outgassing of ocean carbon. The pathlines indicate surface wind stress. || CO2flux_windStress.00480_print.jpg (1024x576) [213.6 KB] || CO2flux_windStress.00480_searchweb.png (180x320) [97.8 KB] || CO2flux_windStress.00480_thm.png (80x40) [7.2 KB] || CO2flux_windStress_1080p30.webm (1920x1080) [23.4 MB] || 3840x2160_16x9_30p (3840x2160) [512.0 KB] || 5760x3240_16x9_30p (5760x3240) [512.0 KB] || CO2flux_windStress_1080p30.mp4 (1920x1080) [673.7 MB] || CO2flux_windStress_2160p30.mp4 (3840x2160) [1.7 GB] || CO2flux_windStress_4398.key [679.6 MB] || CO2flux_windStress_4398.pptx [677.0 MB] || CO2flux_windStress_1080p30.mp4.hwshow [201 bytes] || ", "hits": 33 }, { "id": 12034, "url": "https://svs.gsfc.nasa.gov/12034/", "result_type": "Produced Video", "release_date": "2015-11-01T08:00:00-05:00", "title": "NASA Enters World of 4K Video", "description": "The solar system? Big. The galaxy? Bigger. What's bigger than that? Before you smugly suggest \"The universe?\", check this out: 4K Videos from NASA!A little more than a decade ago, television transformed from the boxy, standard definition dimensions of 20th century engineers to the wider and sharper images of high definition TV. Well into the 21st century now, rapid growth in the next generation of video images promises to deliver spectacular pictures with profoundly greater fidelity and resolution than even the best HDTV. Officially known as Ultra-High Definition Television, it has rapidly come to be known as \"4K\", a moniker derived from the approximate width of images measured in pixels horizontally across a screen.NASA has a long legacy pushing the boundaries of advanced media technologies, befitting its unique role in presenting important, state-of-the-art science and engineering stories to the American public. On this web page you'll find the first major release of 4K video content, presented in the public domain. The release of these media are concurrent with the launch of a new, non-commercial Ultra-High Definition channel in partnership with Harmonic. For each of the following items on this website you may preview the program in your browser or you may select one of several different resolutions from the \"download\" button in the lower right hand corner of each. Be advised that the 4K videos will require fast internet connections and substantial storage space.SYNTHESIS: NASA DATA VISUALIZATIONS IN ULTRA-HD (4K) || ", "hits": 929 }, { "id": 12032, "url": "https://svs.gsfc.nasa.gov/12032/", "result_type": "Produced Video", "release_date": "2015-10-27T11:00:00-04:00", "title": "Antarctic Sea Ice Update", "description": "This year’s Antarctic sea ice maximum extent is the lowest since 2008. || c-1920.jpg (1920x1080) [234.6 KB] || c-1280.jpg (1280x720) [161.1 KB] || c-1024.jpg (1024x576) [118.4 KB] || c-1024_print.jpg (1024x576) [124.0 KB] || c-1024_searchweb.png (320x180) [73.7 KB] || c-1024_web.png (320x180) [73.7 KB] || c-1024_thm.png (80x40) [17.0 KB] || ", "hits": 36 }, { "id": 4376, "url": "https://svs.gsfc.nasa.gov/4376/", "result_type": "Visualization", "release_date": "2015-10-27T00:00:00-04:00", "title": "Antarctic Mass Change from GRACE derived Gravity Observations: Jan 2004 - Jun 2014", "description": "GRACE, NASA's Gravity Recovery and Climate Experiment, consists of twin co-orbiting satellites that fly in a near polar orbit separated by a distance of 220 km. GRACE precisely measures the distance between the two spacecraft in order to make detailed measurements of the Earth's gravitational field. Since its launch in 2002, GRACE has provided a continuous record of changes in the mass of the Earth's ice sheets.These animations show the change in the mass of the Antarctic Ice Sheet between January 2004 and June 2014 as measured by the pair of GRACE satellites. The 1-arc-deg NASA GSFC mascon solution data was resampled to a 5130 x 5130 data array using Kriging interpolation. A color scale was applied where blue values indicate an increase in the ice sheet mass while red shades indicate a decrease. In addition, a graph overlay shows the running total of the accumulated mass change in gigatons.Four separate animations are shown here: one of the full Antarctic Ice Sheet (above) and three of individual regional views (below) showing the regions of West Antarctica, the Antarctic Peninsula and East Antarctica. The time-series of each region is shown with a graph depicting the ice loss for the region alone. Note that the range on the color scale is different for each regional view in order to portray the most detail possible. Areas outside the region being shown are colored in a pale green to indicate that it is not included in the view. The floating ice shelves, shown in a lighter shade of green, are also not included.Technical Note: The glacial isostatic adjustment signal (Earth mass redistribution in response to historical ice loading) has been removed using the ICE-6G model (Peltier et al. 2015). || ", "hits": 37 }, { "id": 4368, "url": "https://svs.gsfc.nasa.gov/4368/", "result_type": "Visualization", "release_date": "2015-10-20T00:00:00-04:00", "title": "Maximum Antarctic Sea Ice 2015", "description": "Above is an image of the Antarctic sea ice on October 6, 2015, the day on which it reached its annual maximum extent. The date is also displayed. || Antarctic_seaIce_max_2015_Date_noAve.7768_print.jpg (1024x576) [78.1 KB] || Antarctic_seaIce_max_2015_Date_noAve.7768_searchweb.png (320x180) [69.9 KB] || Antarctic_seaIce_max_2015_Date_noAve.7768_thm.png (80x40) [5.4 KB] || Antarctic_seaIce_max_2015_1080p_wDate_noAve.7768.tif (1920x1080) [2.0 MB] || Antarctic_seaIce_max_2015_Print_wDate_noAve.7768.tif (5760x3240) [15.1 MB] || ", "hits": 49 }, { "id": 4236, "url": "https://svs.gsfc.nasa.gov/4236/", "result_type": "Visualization", "release_date": "2014-12-09T06:00:00-05:00", "title": "Moon Phase and Libration, 2015", "description": " || New: Click on the image to download a high-resolution version with labels for craters near the terminator. The data in the table for the entire year can be downloaded as a JSON file or as a text file. || moon.0001.jpg (730x730) [92.5 KB] || comp.0001.tif (1920x1080) [2.5 MB] || ", "hits": 246 }, { "id": 4237, "url": "https://svs.gsfc.nasa.gov/4237/", "result_type": "Visualization", "release_date": "2014-12-09T06:00:00-05:00", "title": "Moon Phase and Libration, 2015 South Up", "description": " || New: Click on the image to download a high-resolution version with labels for craters near the terminator. The data in the table for the entire year can be downloaded as a JSON file or as a text file. || moon.0001.jpg (730x730) [92.6 KB] || comp.0001.tif (1920x1080) [2.5 MB] || ", "hits": 97 }, { "id": 11540, "url": "https://svs.gsfc.nasa.gov/11540/", "result_type": "Produced Video", "release_date": "2014-06-03T00:00:00-04:00", "title": "Unstoppable", "description": "Most glaciers in West Antarctica sit on a bed that is below sea level. The massive ice sheet’s exposure to ocean water makes it inherently unstable, a fact that scientists have warned about for decades. In recent years, scientists have observed the glaciers that flow into West Antarctica's Amundsen Sea are shedding ice at a faster rate. Now, new research shows there is nothing to stop these glaciers from being lost to the ocean—an event that will likely take centuries to unfold, but raise global sea level by four feet. Watch the video to learn more. || ", "hits": 42 }, { "id": 4168, "url": "https://svs.gsfc.nasa.gov/4168/", "result_type": "Visualization", "release_date": "2014-05-29T12:00:00-04:00", "title": "West Antarctic Collapse", "description": "A new study by researchers at NASA and the University of California, Irvine, finds a rapidly melting section of the West Antarctic Ice Sheet appears to be in an irreversible state of decline, with nothing to stop the glaciers in this area from melting into the sea according to glaciologist and lead author Eric Rignot, of UC Irvine and NASA's Jet Propulsion Laboratory in Pasadena, California.Three major lines of evidence point to the glaciers' eventual demise: the changes in their flow speeds, how much of each glacier floats on seawater, and the slope and depth of the terrain they are flowing over. In a paper in April, Rignot's research group discussed the steadily increasing flow speeds of these glaciers over the past 40 years. This new study examines the other two lines of evidence.As glaciers flow out from land to the ocean, large expanses of ice behind their leading edges float on the seawater. The point on a glacier where it first loses contact with land is called the grounding line. Nearly all glacier melt occurs on the underside of the glacier beyond the grounding line, on the section floating on seawater. The Antarctic glaciers studied have thinned so much they are now floating above places where they used to sit solidly on land, which means their grounding lines are retreating inland.—>