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{
"id": 4634,
"url": "https://svs.gsfc.nasa.gov/4634/",
"result_type": "Visualization",
"release_date": "2018-06-28T09:00:00-04:00",
"title": "Global Fire Weather Database",
"description": "The Global Fire WEather Database (GFWED) integrates different weather factors influencing the likelihood of a vegetation fire starting and spreading. It is based on the Fire Weather Index (FWI) System, which tracks the dryness of three general fuel classes, and the potential behavior of a fire if it were to start. Each day, FWI values are calculated from global weather data, including satellite rainfall data from the Global Precipitation Measurement (GPM) mission.The FWI System is the most widely used fire danger rating system in the world, and has been adopted for different boreal, temperate and tropical fire environments. GFWED provides a globally consistent fire weather dataset for fire researchers and managers to apply locally. The Fire Weather Index component is suitable as a general index of fire danger. Globally, shifts in continental-scale fire activity follow seasonal changes in the FWI. Over South America and Africa, regions of high FWI and active agricultural burning shift with the tropical rain belts, seen in the GPM precipitation overlay. Over North America and Eurasia, the FWI will ‘activate’ in the spring, and shows how week-to-week surges in fire activity can be driven by high FWI values. || ",
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{
"id": 12667,
"url": "https://svs.gsfc.nasa.gov/12667/",
"result_type": "Produced Video",
"release_date": "2018-06-28T00:00:00-04:00",
"title": "NASA Rainfall Data and Global Fire Weather",
"description": "Additional footage courtesy of Greenpeace.Music: \"Vulnerable Moment,\" John Ashton Thomas, Atmosphere Music Ltd.; \"Inducing Waves,\" Ben Niblett and Jon Cotton, Atmosphere Music Ltd.Complete transcript available. || fires_thumb_print.jpg (1024x578) [88.2 KB] || fires_thumb_searchweb.png (320x180) [93.8 KB] || fires_thumb_thm.png (80x40) [7.0 KB] || Fires_GPM_prores.mov (1920x1080) [3.7 GB] || Fires_GPM_facebook_720.mp4 (1280x720) [385.5 MB] || Fires_GPM_large.mp4 (1920x1080) [271.4 MB] || Fires_GPM_twitter_720.mp4 (1280x720) [60.4 MB] || Fires_GPM_youtube_720.mp4 (1280x720) [513.6 MB] || Fires_GPM_youtube_1080.mp4 (1920x1080) [526.2 MB] || Fires_GPM_prores.webm (1920x1080) [30.3 MB] || 12667_Fires.en_US.srt [5.2 KB] || 12667_Fires.en_US.vtt [5.2 KB] || ",
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{
"id": 4636,
"url": "https://svs.gsfc.nasa.gov/4636/",
"result_type": "Visualization",
"release_date": "2018-04-24T00:00:00-04:00",
"title": "Ice Cube Cubesat Measures High Altitude Atmospheric Ice",
"description": "Mean Cloud Ice data as measured from Ice Cube from July through August 2017. || ice_cube_data.1000_print.jpg (1024x576) [53.1 KB] || ice_cube_data.1000_searchweb.png (320x180) [38.5 KB] || ice_cube_data.1000_thm.png (80x40) [4.1 KB] || ice_cube_data (1920x1080) [0 Item(s)] || ice_cube_data.webm (1920x1080) [8.1 MB] || ice_cube_data.mp4 (1920x1080) [136.5 MB] || ice_cube_data.mp4.hwshow [179 bytes] || ",
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{
"id": 12811,
"url": "https://svs.gsfc.nasa.gov/12811/",
"result_type": "Produced Video",
"release_date": "2017-12-20T16:00:00-05:00",
"title": "Our Home Planet (NASM 2017)",
"description": "NASA explores. From the far reaches of the cosmos, to right here at home, NASA scientists are uncovering new insights that provide economic and societal benefits to the U.S. and the world.Since NASA was created nearly six decades ago, we have essentially \"discovered\" how Earth works as a system. It continues to be a fascinating exercise in fundamental science. And we are still discovering.Complete transcript available. || NASM_2017_Our_Home_Planet.00001_print.jpg (1024x576) [141.9 KB] || NASM_2017_Our_Home_Planet.00001_searchweb.png (320x180) [92.1 KB] || NASM_2017_Our_Home_Planet.00001_thm.png (80x40) [6.8 KB] || NASM_2017_Our_Home_Planet_prores.mov (1280x720) [35.3 GB] || NASM_2017_Our_Home_Planet_large.mp4 (1280x720) [2.5 GB] || NASM_2017_Our_Home_Planet.mp4 (1280x720) [4.9 GB] || NASM_2017_Our_Home_Planet_youtube_1080.mp4 (1920x1080) [4.1 GB] || NASM_2017_Our_Home_Planet_appletv.m4v (1280x720) [1.3 GB] || NASM_2017_Our_Home_Planet.webm (1280x720) [275.6 MB] || NASM-2017-captions-20180830.en_US.srt [47.1 KB] || NASM-2017-captions-20180830.en_US.vtt [47.1 KB] || ",
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{
"id": 4590,
"url": "https://svs.gsfc.nasa.gov/4590/",
"result_type": "Visualization",
"release_date": "2017-10-27T00:00:00-04:00",
"title": "Southern Africa Drought",
"description": "When a giant swell of warm water, known as El Niño emerged in the Pacific Ocean in 2015, scientists knew to look for impacts. As El Niño changed global weather patterns Southern Africa went into severe drought. On top of already dry conditions, the region experienced its lowest rainfall in 35 years.With the Soil Moisture Active Passive (SMAP) mission, launched in 2015, NASA has dedicated soil moisture measurements for the first time – and could see this severe drought emerging. SMAP's highly sensitive microwave radiometer detects the energy emitted by soil depending on how wet or how dry it is. The old gardener's trick is to squeeze a handful of dirt in your hand and see whether it clumps or falls apart. Think of SMAP doing the same thing – with a lot more precision, all around the world, every 3 days.SMAP allowed us to see a connection between Pacific Ocean water temperatures and the moisture of the soil in Southern Africa. These measurements are now being put to operational use more than ever. SMAP's data was fed into the USDA's global crop yield forecasts – the Foreign Agriculture Service reports that help drive multi-billion dollar commodity markets around the world. In fact, the Foreign Ag Service scientist for this region said that with SMAP they now have the first reliable soil moisture data in 30 years.As crops failed and soils were left bare, we used the Terra and Aqua satellites to assess these effects on the vegetation from a local to regional scale. The Normalized Differential Vegetation Index (NDVI) reflects the health of vegetation on the land surface.As this drought spread across Southern Africa, nearly 30 million people were at risk of drastic food shortages. Four out of 10 people did not have access to clean drinking water.The analyses and data provided by NASA scientists are also critical to a USAID program called the Famine Early Warning Systems Network. As food crises arise, the global view provided by NASA scientists informs decisions about where governments and relief agencies should send help.In Southern Africa in 2015 and 2016, nearly 350 million dollars of emergency water and food aid were delivered, in part based on NASA data, to aid millions of people.As the peak of the drought hits in January 2016, the animations show the low soil moisture conditions in Zambia, Zimbabwe, and Botswana. Correspondingly the low vegetation appears in that region as well. || ",
"hits": 55
},
{
"id": 12603,
"url": "https://svs.gsfc.nasa.gov/12603/",
"result_type": "Produced Video",
"release_date": "2017-09-13T11:00:00-04:00",
"title": "Predicting Malaria Outbreaks With NASA Satellites",
"description": "In the Amazon Rainforest, few animals are as dangerous to humans as mosquitos that transmit malaria. The tropical disease can bring on severe fever, headaches and chills and is particularly severe for children and the elderly and can cause complications for pregnant women. In rainforest-covered Peru the number of malaria cases has spiked such that, in the past five years, it has had on average the second highest rate in the South American continent. In 2014 and 2015 there were 65,000 reported cases in the country.Containing malaria outbreaks is challenging because it is difficult to figure out where people are contracting the disease. As a result, resources such as insecticide-treated bed nets and indoor sprays are often deployed to areas where few people are getting infected, allowing the outbreak to grow.To tackle this problem, university researchers have turned to data from NASA’s fleet of Earth-observing satellites, which are able to track the types of human and environmental events that typically precede an outbreak. With funding from NASA’s Applied Sciences Program, they are working in partnership with the Peruvian government to develop a system that uses satellite and other data to help forecast outbreaks at the household level months in advance and prevent outbreaks.Additional imagery from: Christopher B. Plunkett FortJames GathanyFábio Medeiros da Costa || ",
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{
"id": 4581,
"url": "https://svs.gsfc.nasa.gov/4581/",
"result_type": "Visualization",
"release_date": "2017-07-24T00:00:00-04:00",
"title": "Using Satellite and Ground-based Data to Develop Malaria Risk Maps",
"description": "Malaria is a major problem in the Amazon where malaria mosquitoes tend to prefer wet, hot areas with more standing water. Seasonal occupational movement along rivers and in forested areas increases transmission and concentrates malaria in specific regions. The objective of Malaria Project, an ongoing study led by William Pan and Ben Zaitchik, is to develop a detection and early warning system for malaria risk in the Amazon. Using data from NASA satellites and a Land Data Assimilation System (LDAS), the scientists hope that their research can help health officials pinpoint where to deploy resources and what resources to deploy during a disease outbreak. By incorporating NASA data such as precipitation, soil moisture, air temperature, and humidity into their new system, scientists are better able to predict where malaria-spreading mosquitoes are breeding. These climate factors in conjunction with a population density and human movement model will help scientists better understand where and when people are at high risk for malaria. The malaria warning system will predict outbreaks and simulate response to help a country's health care system to more strategically determine where to deploy their resources. Visualizations focus on Peru, one of the central areas of malaria transmission in the Amazon. Four LDAS data sets -- precipitation, soil moisture, air temperature, and humidity are illustrated below. Combined with public health data, the animations show how these factors may affect the outbreak and evolvement of the disease. || ",
"hits": 52
},
{
"id": 12477,
"url": "https://svs.gsfc.nasa.gov/12477/",
"result_type": "Produced Video",
"release_date": "2017-05-15T12:00:00-04:00",
"title": "Marine Magnetism",
"description": "A new method uses Earth's magnetic field to detect changes in the heat stored in the ocean. || TidalMagFL_frames_30fps.0272.png (1920x1080) [4.1 MB] || TidalMagFL_frames_30fps.0272_1024x576.jpg (1024x576) [183.8 KB] || TidalMagFL_frames_30fps.0272_1280x720.jpg (1280x720) [291.4 KB] || TidalMagFL_frames_30fps.0272_1024x576_print.jpg (1024x576) [183.2 KB] || TidalMagFL_frames_30fps.0272_thm.png (80x40) [5.8 KB] || TidalMagFL_frames_30fps.0272_1024x576_searchweb.png (320x180) [103.7 KB] || ",
"hits": 48
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{
"id": 4550,
"url": "https://svs.gsfc.nasa.gov/4550/",
"result_type": "Visualization",
"release_date": "2017-01-31T00:00:00-05:00",
"title": "NPP Blue Marble",
"description": "Suomi NPP is the first of a new generation of NASA satellites that observe many facets of our changing Earth. Suomi NPP is carrying five instruments on board. One of the significant instruments is the Visible/Infrared Imager Radiometer Suite or VIIRS.This visualization features a composite image captured by Suomi NPP’s VIIRS and portrays how our planet looked from space on October 14, 2015. || ",
"hits": 82
},
{
"id": 4541,
"url": "https://svs.gsfc.nasa.gov/4541/",
"result_type": "Visualization",
"release_date": "2016-12-30T00:00:00-05:00",
"title": "Ocean Tides and Magnetic Fields",
"description": "Earth’s magnetic field is built up from many contributing sources ranging from the planet’s core to the magnetosphere in space. Untangling and identifying the different sources allows geomagnetic scientists to gather information about the individual processes that combine to create the full field.One contributor is the ocean. But how do the tides affect Earth’s magnetic field? Seawater is an electrical conductor, and therefore interacts with the magnetic field. As the tides cycle around the ocean basins, the ocean water essentially tries to pull the geomagnetic field lines along. Because the salty water is a good, but not great, conductor, the interaction is relatively weak. The strongest component is from the regular lunar tide that happens about twice per day (actually 12.42 hours). Other contributions come from ocean swell, eddies, and even tsunamis.The strength of the interaction also depends on the temperature of the ocean water. Scientists are now able to determine how much heat is being stored in the entire ocean, from wave top to sea floor by observations of the Earth's magnetic field. || ",
"hits": 667
},
{
"id": 4533,
"url": "https://svs.gsfc.nasa.gov/4533/",
"result_type": "Visualization",
"release_date": "2016-12-15T00:00:00-05:00",
"title": "Atmospheric CO2 from AIRS 2002-2016",
"description": "This visualization is an update of the global distribution and variation of the concentration of mid-tropospheric carbon dioxide observed by the Atmospheric Infrared Sounder (AIRS) on the NASA Aqua spacecraft. For comparison, it is overlain by a graph of the seasonal variation and interannual increase of carbon dioxide observed at the Mauna Loa, Hawaii observatory.The two most notable features of this visualization are the seasonal variation of CO2 and the trend of increase in its concentration from year to year. The global map clearly shows that the CO2 in the northern hemisphere peaks in April-May and then drops to a minimum in September-October. Although the seasonal cycle is less pronounced in the southern hemisphere it is opposite to that in the northern hemisphere. This seasonal cycle is governed by the growth cycle of plants. The northern hemisphere has the majority of the land masses, and so the amplitude of the cycle is greater in that hemisphere. The overall color of the map shifts toward the red with advancing time due to the annual increase of CO2. || ",
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{
"id": 12456,
"url": "https://svs.gsfc.nasa.gov/12456/",
"result_type": "Produced Video",
"release_date": "2016-12-12T18:45:00-05:00",
"title": "Tracking Ocean Heat With Magnetic Fields",
"description": "As Earth warms, much of the extra heat is stored in the planet’s ocean – but monitoring the magnitude of that heat content is a difficult task. A surprising feature of the tides could help, however. Scientists at NASA’s Goddard Space Flight Center in Greenbelt, Maryland, are developing a new way to use satellite observations of magnetic fields to measure heat stored in the ocean.Music: War Torn by Brad Smith [BMI] Complete transcript available.Watch this video on the NASA Goddard YouTube channel. || 12456-ocean-heat-AGU-web.jpg (1920x1080) [354.1 KB] || 12456-ocean-heat-AGU-web_searchweb.png (320x180) [122.0 KB] || 12456-ocean-heat-AGU-web_thm.png (80x40) [7.7 KB] || 12456-ocean-heat-APR_VX-680579_large.mp4 (1920x1080) [59.1 MB] || 12456-ocean-heat-APR_VX-680579_appletv.m4v (1280x720) [30.6 MB] || 12456-ocean-heat-AGU-720p.mp4 (1280x720) [59.5 MB] || 12456-ocean-heat-AGU.mp4 (1920x1080) [59.9 MB] || 12456-ocean-heat-APR_VX-680579.webm (960x540) [23.6 MB] || 12456-ocean-heat-APR_VX-680579_appletv_subtitles.m4v (1280x720) [30.7 MB] || 12456-ocean-heat-captions.en_US.srt [891 bytes] || 12456-ocean-heat-captions.en_US.vtt [904 bytes] || 12456-ocean-heat-APR_VX-680579_ipod_sm.mp4 (320x240) [10.9 MB] || 12456-ocean-heat-APR_VX-680579_prores.mov (1280x720) [791.2 MB] || 12456-ocean-heat-APR_VX-680579_youtube_hq.mov (1920x1080) [212.0 MB] || 12456-ocean-heat-APR_VX-680579.mpeg (1280x720) [196.6 MB] || ",
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},
{
"id": 4429,
"url": "https://svs.gsfc.nasa.gov/4429/",
"result_type": "Visualization",
"release_date": "2016-11-22T17:00:00-05:00",
"title": "Massive Lightning Storm Lights up Northern Alabama",
"description": "Animation showing a massive lightning storm form over Northern Alabama on September 2, 2012. Although the data shown here is based on real observations, the cloud cover data was only available for a very limited window of time as an experiment using the GOES-14 satellite. The cloud data comes from ground-based sensors. This animation is a proof-of-concept showing the kind of data that will be gathered by GOES-R on a regular basis. || lightning_comp.0499_print.jpg (1024x576) [148.4 KB] || background.4k.png (3840x2160) [7.7 MB] || lightning_comp.0499_searchweb.png (320x180) [103.2 KB] || lightning_comp.0499_thm.png (80x40) [6.9 KB] || lightning_comp_1080p30.mp4 (1920x1080) [14.7 MB] || sample_composite (1920x1080) [0 Item(s)] || lightning_comp_1080p30.webm (1920x1080) [1.8 MB] || date_layer (3840x2160) [0 Item(s)] || cloud_layer (3840x2160) [0 Item(s)] || lightning_layer (3840x2160) [0 Item(s)] || lightning_comp_1080p30.mp4.hwshow [188 bytes] || ",
"hits": 33
},
{
"id": 4485,
"url": "https://svs.gsfc.nasa.gov/4485/",
"result_type": "Visualization",
"release_date": "2016-08-16T00:00:00-04:00",
"title": "Hurricanes and Climate Modes",
"description": "Hurricanes and climate modes -- 8-wave simulation with 3 members in 2005. || HCM_2005_8w_sim_1080p30.00732_print.jpg (1024x576) [156.2 KB] || HCM_2005_8w_sim_1080p30.00732_ipad_poster_frame.jpg (1024x576) [156.2 KB] || HCM_2005_8w_sim_1080p30.00732_searchweb.png (320x180) [88.8 KB] || HCM_2005_8w_sim_1080p30.00732_web.png (320x180) [88.8 KB] || HCM_2005_8w_sim_1080p30.00732_thm.png (80x40) [6.3 KB] || HCM_2005_8w_sim (1920x1080) [0 Item(s)] || HCM_2005_8w_sim_1080p30.mp4 (1920x1080) [20.4 MB] || HCM_2005_8w_sim_1080p30.webm (1920x1080) [2.2 MB] || HCM_2005_8w_sim_m1_1080p30.avi (1920x1080) [20.1 MB] || HCM_2005_8w_sim_m1_1080p30.wmv (1920x1080) [24.6 MB] || HCM_2005_8w_sim_1080p30.mp4.hwshow [189 bytes] || ",
"hits": 17
},
{
"id": 4448,
"url": "https://svs.gsfc.nasa.gov/4448/",
"result_type": "Visualization",
"release_date": "2016-05-09T00:00:00-04:00",
"title": "KORUS_AQ: CH2O Levels over the Korean Peninsula in June 2013",
"description": "These visuals were created in anticipation of the 2016 Korean United States Air Quality study (KORUS-AQ) field campaign which will combine observations from aircraft, satellties, ships and ground stations with air quality models to assess and monitor air quality acorss urban, rural and coastal areas.These visuals are showing the formaldehyde levels over the Korean peninsula in June 2013 according to the GEOS-5 Nature Run chemistry model data. || ",
"hits": 14
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{
"id": 4449,
"url": "https://svs.gsfc.nasa.gov/4449/",
"result_type": "Visualization",
"release_date": "2016-05-09T00:00:00-04:00",
"title": "KORUN_AQ: NO2 levels over the Korean Peninsula in June 2013",
"description": "These visuals were created in anticipation of the 2016 Korean United States Air Quality study (KORUS-AQ) field campaign which will combine observations from aircraft, satellties, ships and ground stations with air quality models to assess and monitor air quality acorss urban, rural and coastal areas.These visuals are showing the nitrogen dioxide levels over the Korean peninsula in June 2013 according to the GEOS-5 Nature Run chemistry model data. || ",
"hits": 11
},
{
"id": 4450,
"url": "https://svs.gsfc.nasa.gov/4450/",
"result_type": "Visualization",
"release_date": "2016-05-09T00:00:00-04:00",
"title": "KORUS_AQ: Total Tropospheric Ozone levels over the Korean Peninsula in June 2013",
"description": "These visuals were created in anticipation of the 2016 Korean United States Air Quality study (KORUS-AQ) field campaign which will combine observations from aircraft, satellties, ships and ground stations with air quality models to assess and monitor air quality acorss urban, rural and coastal areas.These visuals are showing the total tropospheric ozone levels over the Korean peninsula in June 2013 according to the GEOS-5 Nature Run chemistry model data. || ",
"hits": 16
},
{
"id": 4447,
"url": "https://svs.gsfc.nasa.gov/4447/",
"result_type": "Visualization",
"release_date": "2016-05-06T00:00:00-04:00",
"title": "KORUS-AQ: Surface Ozone Levels Over the Korean Peninsula in June 2013",
"description": "These visuals were created in anticipation of the 2016 Korean United States Air Quality study (KORUS-AQ) field campaign which will combine observations from aircraft, satellties, ships and ground stations with air quality models to assess and monitor air quality acorss urban, rural and coastal areas.Ozone gas and particle pollution are two of the main factors that contribute to poor air quality around the world. While ozone gas located high in the stratosphere protects us from the sun’s harmful UV rays, pollution from cars and other human emissions near ground level can cause chemical reactions that lead to ozone formation near the surface. Breathing in high levels of ozone is also bad for human health, causing lung diseases and health impacts on sensitive populations such as children, the elderly and people with asthma. These visuals are showing the ozone that formed near the surface, or 'surface ozone', over the Korean peninsula in June 2013 according to the GEOS-5 Nature Run chemistry model data. Peak ozone in Korea occurs between April and June.Since Seoul is located on a peninsula, the metropolitan area and the pollution produced here are separated from other sources of emissions. In addition, Seoul’s human-produced emissions are concentrated in its urban areas but are surrounded by more rural agricultural areas. The contrast between urban and rural zones on the peninsula allow scientists to study and differentiate human and naturally-produced emissions and better understand how they interact chemically. Understanding the chemical reactions between urban and agricultural emissions is extremely important for improving models that forecast air quality. || ",
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},
{
"id": 4445,
"url": "https://svs.gsfc.nasa.gov/4445/",
"result_type": "Visualization",
"release_date": "2016-04-18T00:00:00-04:00",
"title": "El Niño - Atmospheric River in January 2016",
"description": "The atmospheric river in Jan 2016. || ElNinoAtmosphericRiver_1080p30.00405_print.jpg (1024x576) [91.9 KB] || ElNinoAtmosphericRiver_1080p30.00405_ipad_poster_frame.jpg (1024x576) [91.9 KB] || ElNinoAtmosphericRiver_1080p30.00405_searchweb.png (320x180) [52.7 KB] || ElNinoAtmosphericRiver_1080p30.00405_web.png (320x180) [52.7 KB] || ElNinoAtmosphericRiver_1080p30.00405_thm.png (80x40) [4.2 KB] || ElNinoAtmosphericRiver_1080p30.mp4 (1920x1080) [50.9 MB] || 1920x1080_16x9_30p (1920x1080) [64.0 KB] || ElNinoAtmosphericRiver_1080p30.webm (1920x1080) [2.4 MB] || ElNinoAtmosphericRiver_1080p30.mp4.hwshow [232 bytes] || ",
"hits": 14
},
{
"id": 4416,
"url": "https://svs.gsfc.nasa.gov/4416/",
"result_type": "Visualization",
"release_date": "2016-01-11T00:00:00-05:00",
"title": "1997-1998 El Nino Atmospheric River",
"description": "1997 - 1998 El Nino -- Atmospheric River || ElNino_1997_98_f4_1080p30_print.jpg (1024x576) [74.0 KB] || ElNino_1997_98_f4_1080p30_searchweb.png (320x180) [45.6 KB] || ElNino_1997_98_f4_1080p30_web.png (320x180) [45.6 KB] || ElNino_1997_98_f4_1080p30_thm.png (80x40) [3.8 KB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || ElNino_1997_98_f4_1080p30.webm (1920x1080) [14.5 MB] || ElNino_1997_98_f4_1080p30.mp4 (1920x1080) [153.1 MB] || ElNino_1997_98_f4_1080p30.mp4.hwshow [191 bytes] || ",
"hits": 162
},
{
"id": 4417,
"url": "https://svs.gsfc.nasa.gov/4417/",
"result_type": "Visualization",
"release_date": "2016-01-11T00:00:00-05:00",
"title": "2014 - 2015 Atmospheric River",
"description": "The close-up view of the atmopheric river in Oct. 2014 - Mar. 2015. || atmosphericRiver_Oct2014_Mar2015_zoomIn_whole_1080p30_print.jpg (1024x576) [134.6 KB] || atmosphericRiver_Oct2014_Mar2015_zoomIn_whole_1080p30_searchweb.png (320x180) [83.4 KB] || atmosphericRiver_Oct2014_Mar2015_zoomIn_whole_1080p30_web.png (320x180) [83.4 KB] || atmosphericRiver_Oct2014_Mar2015_zoomIn_whole_1080p30_thm.png (80x40) [6.1 KB] || zoomIn (1920x1080) [0 Item(s)] || atmosphericRiver_Oct2014_Mar2015_zoomIn_whole_1080p30.webm (1920x1080) [22.7 MB] || atmosphericRiver_Oct2014_Mar2015_zoomIn_whole_1080p30.mp4 (1920x1080) [601.3 MB] || atmosphericRiver_Oct2014_Mar2015_zoomIn_whole_1080p30.mp4.hwshow [219 bytes] || ",
"hits": 17
},
{
"id": 12075,
"url": "https://svs.gsfc.nasa.gov/12075/",
"result_type": "Produced Video",
"release_date": "2015-12-17T11:00:00-05:00",
"title": "Atmospheric Rivers",
"description": "Can jets of moisture in Earth's atmosphere help cure California's drought? || c60-1280.jpg (1280x720) [128.3 KB] || c60-1024.jpg (1024x576) [94.2 KB] || c60-1920.jpg (1920x1080) [207.3 KB] || c60-1024_print.jpg (1024x576) [96.1 KB] || c60-1024_searchweb.png (320x180) [48.0 KB] || c60-1024_web.png (320x180) [48.0 KB] || c60-1024_thm.png (80x40) [15.6 KB] || ",
"hits": 31
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{
"id": 12095,
"url": "https://svs.gsfc.nasa.gov/12095/",
"result_type": "Produced Video",
"release_date": "2015-12-15T10:30:00-05:00",
"title": "AGU El Nino Press Conference Release Materials",
"description": "Forty percent of California's annual water supply comes in the form of atmospheric rivers, tendrils of moisture that travel from the Pacific Ocean and rain out when they move over the coast. New research on how El Niño affects atmospheric rivers headed for the California coast suggest that while the number of atmospheric rivers California receives (typically ten per year) will not change during an El Niño, they will be stronger, warmer, and thus wetter. || ",
"hits": 23
},
{
"id": 4401,
"url": "https://svs.gsfc.nasa.gov/4401/",
"result_type": "Visualization",
"release_date": "2015-11-20T00:00:00-05:00",
"title": "Aquarius Soil Moisture 2011 -2015",
"description": "This visualization shows soil moisture measurements taken by NASA’s Aquarius instrument from August 2011 to May 2015. Soil moisture, the water contained within soil particles, is an important player in Earth's water cycle. It is essential for plant life and influences weather and climate. Satellite readings of soil moisture will help scientists better understand the climate system and have potential for a wide range of applications, from advancing climate models, weather forecasts, drought monitoring and flood prediction to informing water management decisions and aiding in predictions of agricultural productivity. || ",
"hits": 13
},
{
"id": 4332,
"url": "https://svs.gsfc.nasa.gov/4332/",
"result_type": "Visualization",
"release_date": "2015-09-23T00:00:00-04:00",
"title": "Aquarius Sea Surface Temperature 2011 - 2015",
"description": "Aquarius is an international effort to measure sea surface salinity and learn about the interaction between ocean circulation, the water cycle and climate. Besides salinity, Aquarius also measures sea surface temperature because salinity and temperature determines seawater density and buoyancy. Sea-surface density drives formation of ocean water masses and three-dimensional ocean circulation. Thus better understanding of ocean salinity and temperature improves understanding of the ocean's capacity to store and transport heat. The animation shows the changes of sea surface temporature from September 7, 2011 to May 20, 2015. || ",
"hits": 34
},
{
"id": 4357,
"url": "https://svs.gsfc.nasa.gov/4357/",
"result_type": "Visualization",
"release_date": "2015-09-23T00:00:00-04:00",
"title": "Aquarius Sea Surface Density",
"description": "Sea surrface density is derived from Aquarius science products and generated by the NASA Goddard Space Flight Center's Aquarius Data Processing System. It is very important because sea surface density drives formation of ocean water masses and three-dimensional ocean circulation. As water parcels sink and move through the ocean, their densities will be modified by mixing with other parcels of seawater. However, if the density signatures of all the end member water masses are known, this mixing can be \"unraveled\" to determine the proportions of their various source waters. This animation shows the changes of sea surface density from September 7, 2011 to May 20, 2015. || ",
"hits": 171
},
{
"id": 4353,
"url": "https://svs.gsfc.nasa.gov/4353/",
"result_type": "Visualization",
"release_date": "2015-09-10T00:00:00-04:00",
"title": "Aquarius Sea Surface Salinity 2011-2015",
"description": "Rectangular flat map projection shows Sea Surface Salinity measurements taken by Aquarius in its whole life span (September 2011 - May 2015). || aquarius_sss_timeCbar_flatmap_1080p30_print.jpg (1024x576) [137.4 KB] || aquarius_sss_timeCbar_flatmap_1080p30_searchweb.png (320x180) [80.4 KB] || aquarius_sss_timeCbar_flatmap_1080p30_web.png (320x180) [80.4 KB] || aquarius_sss_timeCbar_flatmap_1080p30_thm.png (80x40) [7.2 KB] || aquarius_sss_timeCbar_flatmap_1080p30.mp4 (1920x1080) [83.1 MB] || aquarius_sss_timeCbar_flatmap_1080p30.webm (1920x1080) [12.0 MB] || flatmap_4k (3840x2160) [0 Item(s)] || flatmap_no_timeCbar_4k (3840x2160) [0 Item(s)] || aquarius_sss_timeCbar_flatmap_4353.key [88.0 MB] || aquarius_sss_timeCbar_flatmap_4353.pptx [85.4 MB] || aquarius_sss_timeCbar_flatmap_4k_2160p30.mp4 (3840x2160) [259.0 MB] || aquarius-sea-surface-salinity-2011-2015.hwshow [203 bytes] || ",
"hits": 30
},
{
"id": 4334,
"url": "https://svs.gsfc.nasa.gov/4334/",
"result_type": "Visualization",
"release_date": "2015-07-30T10:00:00-04:00",
"title": "Atmospheric River Reaching California",
"description": "An atmospheric river occured between 9th and 12th of Dec. 2014 over the Pacific Ocean and Southwest US. || tm_atmosphericRiver_waterVapor_Imerg_4xSlow_0_print.jpg (1024x576) [112.1 KB] || tm_atmosphericRiver_waterVapor_Imerg_4xSlow_0_searchweb.png (320x180) [73.4 KB] || tm_atmosphericRiver_waterVapor_Imerg_4xSlow_0_thm.png (80x40) [6.1 KB] || tm_atmosphericRiver_waterVapor_Imerg_4xSlow_0_web.png (320x180) [73.4 KB] || tm_atmosphericRiver_waterVapor_Imerg_4xSlow_0.mp4 (1920x1080) [5.5 MB] || atmosphericRiverOnly (1920x1080) [32.0 KB] || tm_atmosphericRiver_waterVapor_Imerg_4xSlow_0.webm (1920x1080) [1.0 MB] || tm_atmosphericRiver_waterVapor_Imerg_4xSlow_0001_720p30.mp4 (1280x720) [3.1 MB] || tm_atomsphericRiver_waterWapor_Imerg_4xSlow_f24453.tif (5760x3240) [19.1 MB] || tm_atmosphericRiver_waterVapor_Imerg_4xSlow_0001_360p30.mp4 (640x360) [1.2 MB] || ",
"hits": 49
},
{
"id": 4327,
"url": "https://svs.gsfc.nasa.gov/4327/",
"result_type": "Visualization",
"release_date": "2015-07-22T00:00:00-04:00",
"title": "TRMM and MERRA Precipitation Anomalies in California (MERRA part)",
"description": "Accumulated precipitation deficit map for California drought between 2012 and 2014 based on MERRA data. || tm_merraScene.0001_0_480p_print.jpg (1024x576) [110.5 KB] || tm_merraScene_f275.jpg (5760x3240) [7.9 MB] || tm_merraScene.0001_0_480p_searchweb.png (320x180) [91.1 KB] || tm_merraScene.0001_0_480p_web.png (320x180) [91.1 KB] || tm_merraScene.0001_0_480p_thm.png (80x40) [6.3 KB] || tm_merraScene.0001_0_720p.mov (1280x720) [7.9 MB] || tm_merraScene.0001_0.mp4 (1920x1080) [5.8 MB] || 1920x1080_16x9_30p (1920x1080) [32.0 KB] || tm_merraScene.0001_0.webm (1920x1080) [1.0 MB] || tm_merraScene_f275.tif (5760x3240) [22.6 MB] || tm_merraScene.0001_0_480p.mov (640x360) [3.1 MB] || ",
"hits": 8
},
{
"id": 4326,
"url": "https://svs.gsfc.nasa.gov/4326/",
"result_type": "Visualization",
"release_date": "2015-07-21T00:00:00-04:00",
"title": "TRMM and MERRA Precipitation Anomalies in California (TRMM part)",
"description": "Accumulated precipitation deficit map for California drought between 2012 and 2014 based on TRMM data. || tm_trmmScene.0001_0_print.jpg (1024x576) [179.6 KB] || tm_trmmScene_f275.jpg (5760x3240) [8.9 MB] || tm_trmmScene.0001_0_searchweb.png (320x180) [112.0 KB] || tm_trmmScene.0001_0_web.png (320x180) [112.0 KB] || tm_trmmScene.0001_0_thm.png (80x40) [7.1 KB] || tm_trmmScene_f275_searchweb.png (320x180) [114.3 KB] || tm_trmmScene_f275_thm.png (80x40) [7.9 KB] || tm_trmmScene.0001_0.webm (1920x1080) [1.0 MB] || tm_trmmScene.0001_0_720p.mov (1280x720) [8.0 MB] || tm_trmmScene.0001_0.mp4 (1920x1080) [6.8 MB] || 1920x1080_16x9_30p (1920x1080) [32.0 KB] || tm_trmmScene.0001_0_480p.mov (640x360) [3.2 MB] || tm_trmmScene_f275.tif (5760x3240) [24.4 MB] || tm_trmmScene.0001_0.hwshow [46 bytes] || ",
"hits": 25
},
{
"id": 4315,
"url": "https://svs.gsfc.nasa.gov/4315/",
"result_type": "Visualization",
"release_date": "2015-06-17T17:00:00-04:00",
"title": "Lightning Over South Dakota",
"description": "The South Dakota Lightning Mapping Array (LMA) consists of 10 sensor stations that monitor very high frequency radio waves emitted by lightning. This dataset provides detailed information about a lightning event that occurred in western South Dakota around 2:50 PM on July 19th, 2014. The lightning flash contour data were generated by the scientists based on the raw LMA data. The lightning showed in this work lasts about 1.5 seconds. The animation repeats the lightning event 14 times played at the actual speed of the event to illustrate detailed 3D lightning observations and the lightning's dynamic progression providing a unique perspective on extreme weather. || ",
"hits": 28
},
{
"id": 11753,
"url": "https://svs.gsfc.nasa.gov/11753/",
"result_type": "Produced Video",
"release_date": "2015-03-05T11:00:00-05:00",
"title": "Megadrought",
"description": "Climate models predict longer and more severe droughts by the end of the century. || c-1920.jpg (1920x1080) [258.1 KB] || c-1280.jpg (1280x720) [169.5 KB] || c-1024.jpg (1024x576) [126.1 KB] || c-1024_print.jpg (1024x576) [122.9 KB] || c-1024_searchweb.png (320x180) [63.6 KB] || c-1024_print_thm.png (80x40) [13.5 KB] || ",
"hits": 39
},
{
"id": 11772,
"url": "https://svs.gsfc.nasa.gov/11772/",
"result_type": "Produced Video",
"release_date": "2015-02-12T14:00:00-05:00",
"title": "Instagram: Megadroughts Projected For American Southwest",
"description": "Droughts in the U.S. Southwest and Central Plains at the end of this century could be drier and longer compared to drought conditions seen in those regions in the last 1,000 years, according to a new NASA study.The study, published Feb 12 in the journal Science Advances, is based on projections from several climate models, including one sponsored by NASA. The research found the risk of severe droughts in those regions would increase if human-produced greenhouse gas emissions continue to increase.\"Natural droughts like the 1930s Dust Bowl and the current drought in the Southwest have historically lasted maybe a decade or a little less,\" said Ben Cook, climate scientist at NASA's Goddard Institute for Space Studies and the Lamont-Doherty Earth Observatory at Columbia University in New York City, and lead author of the study. \"What these results are saying is we're going to get a drought similar to those events, but it is probably going to last at least 30 to 35 years.\" || ",
"hits": 39
},
{
"id": 11773,
"url": "https://svs.gsfc.nasa.gov/11773/",
"result_type": "Produced Video",
"release_date": "2015-02-12T14:00:00-05:00",
"title": "NASA On Air: NASA Study Finds Carbon Emissions Could Dramatically Increase Risk Of U.S. Megadroughts (2/12/2015)",
"description": "LEAD: NASA study finds carbon emissions could dramatically increase risk of U.S. megadroughts.1. Analysis of current greenhouse gas emission trends indicate that the Southwest and Central Plains have an 80% likelihood of megadroughts between the years 2050 and 2099.2. This is the first study to compare future drought projections directly to drought records from the last 1000 years.TAG: The 1930’s Dust Bowl only lasted a decade. These new results indicate future droughts may last at least 30 to 35 years. || WC_Drought-1920-MASTER_iPad_1920x0180_print.jpg (1024x576) [75.1 KB] || WC_Drought-1920-MASTER_iPad_1920x018000449_print.jpg (1024x576) [69.5 KB] || WC_Drought-1920-MASTER_iPad_1920x0180_searchweb.png (320x180) [49.3 KB] || WC_Drought-1920-MASTER_iPad_1920x0180_web.png (320x180) [49.3 KB] || WC_Drought-1920-MASTER_iPad_1920x0180_thm.png (80x40) [4.3 KB] || WC_Drought-1920-MASTER_NBC_Today.mov (1920x1080) [40.0 MB] || WC_Drought-1920-MASTER_WEA_CEN.wmv (1280x720) [4.3 MB] || Drought_WC.avi (1280x720) [5.5 MB] || WC_Drought-1920-MASTER_baron.mp4 (1920x1080) [12.1 MB] || WC_Drought-1920-MASTER_iPad_960x540.m4v (960x540) [12.6 MB] || WC_Drought-1920-MASTER_iPad_1280x720.m4v (1280x720) [20.2 MB] || WC_Drought-1920-MASTER_iPad_1920x0180.m4v (1920x1080) [40.0 MB] || WC_Drought-1920-MASTER_iPad_1920x0180.webm (1920x1080) [1.7 MB] || WC_Drought-1920-MASTER_1920x1080.mov (1920x1080) [255.6 MB] || WC_Drought-1920-MASTER_1280x720.mov (1280x720) [313.7 MB] || WC_Drought-1920-MASTER_prores.mov (1920x1080) [257.3 MB] || ",
"hits": 83
},
{
"id": 4270,
"url": "https://svs.gsfc.nasa.gov/4270/",
"result_type": "Visualization",
"release_date": "2015-02-12T13:30:00-05:00",
"title": "Megadroughts in U.S. West Projected to be Worst of the Millennium",
"description": "Soil moisture (surface down to 30cm) from 1950 to 2095 based on a 10 year moving average of 17 CMIP5 models using a high future emissions scenario (RCP 8.5). The year shown is the middle of the 10-year moving average.This video is also available on our YouTube channel. || print10yr_-3to3_rcp85_1700_print.jpg (1024x576) [75.8 KB] || print10yr_-3to3_rcp85_1700.png (5760x3240) [10.6 MB] || 10yr_-3to3_rcp85_1700_searchweb.png (320x180) [48.3 KB] || 10yr_-3to3_rcp85_1700_thm.png (80x40) [4.8 KB] || 10yr_-3to3_rcp85.webm (1920x1080) [1.7 MB] || 10yr_-3to3_rcp85.mp4 (1920x1080) [3.3 MB] || 10yr_-3to3_rcp85 (1920x1080) [32.0 KB] || 10yr_-3to3_rcp85_comp_1080p30.mp4 (1920x1080) [3.6 MB] || comp_rcp85 (1920x1080) [32.0 KB] || 10yr_-3to3_rcp85.m4v (640x360) [2.0 MB] || 10yr_-3to3_rcp85.hwshow [195 bytes] || print10yr_-3to3_rcp85_1700.hwshow [205 bytes] || ",
"hits": 505
},
{
"id": 11776,
"url": "https://svs.gsfc.nasa.gov/11776/",
"result_type": "Produced Video",
"release_date": "2015-02-12T13:30:00-05:00",
"title": "Megadroughts Projected for American West",
"description": "For complete transcript, click here. || 21st_Century_Drought_final-H264_Good_1280x720_29.97_print.jpg (1024x576) [149.5 KB] || 21st_Century_Drought_final-H264_Good_1280x720_29.9700052_print.jpg (1024x576) [144.5 KB] || 21st_Century_Drought_final-H264_Good_1280x720_29.97_searchweb.png (320x180) [109.6 KB] || 21st_Century_Drought_final-H264_Good_1280x720_29.97_web.png (320x180) [109.6 KB] || 21st_Century_Drought_final-H264_Good_1280x720_29.97_thm.png (80x40) [7.7 KB] || 21st_Century_Drought_final_appletv_subtitles.m4v (960x540) [75.4 MB] || 21st_Century_Drought_final-H264_Good_1280x720_29.97.webm (1280x720) [20.6 MB] || 21st_Century_Drought_final_1280x720.wmv (1280x720) [84.1 MB] || 21st_Century_Drought_final_appletv.m4v (960x540) [75.4 MB] || 21st_Century_Drought_final_ipod_lg.m4v (640x360) [30.5 MB] || 21st_Century_Drought_final_720x480.wmv (720x480) [74.9 MB] || 21st_Century_Drought_final_nasaportal.mov (640x360) [68.5 MB] || 21st_Century_Drought_final_ipod_sm.mp4 (320x240) [15.2 MB] || 21st_Century_Drought.en_US.srt [3.9 KB] || 21st_Century_Drought.en_US.vtt [3.9 KB] || 21st_Century_Drought_final_youtube_hq.mov (1280x720) [183.1 MB] || 21st_Century_Drought_final-H264_Best_1280x720_59.94.mov (1280x720) [1.6 GB] || 21st_Century_Drought_final_prores.mov (1280x720) [2.6 GB] || 21st_Century_Drought_final-H264_Good_1280x720_29.97.mov (1280x720) [183.0 MB] || ",
"hits": 114
}
]
}