{ "count": 56, "next": null, "previous": null, "results": [ { "id": 5574, "url": "https://svs.gsfc.nasa.gov/5574/", "result_type": "Visualization", "release_date": "2026-03-02T00:00:00-05:00", "title": "GRACE FO Soil Moisture Within Continental United States: Monitoring Drought", "description": "The Gravity Recovery and Climate Experiment Follow-On (GRACE-FO) mission is a joint Earth-science project launched in 2018 by NASA and the German Research Centre for Geosciences to continue the work of the earlier GRACE mission. It consists of two satellites flying about 137 mi (220 km) apart in the same orbit around Earth, constantly measuring tiny changes in the distance between them. These variations occur because changes in Earth’s gravity, caused by shifting masses such as melting ice sheets, groundwater depletion, and ocean circulation, slightly alter the satellites’ speeds and separation. By precisely tracking these changes, GRACE FO allows scientists to map how water moves across the planet, improving our understanding of climate change, sea-level rise, and global water resources.This visualization uses data from GRACE FO to create an index based on percentile dryness, categorizing the dregree of wetness or dryness within three domains: groundwater storage, root zone soil moisture, and surface moisture. It updates weekly, and extends back over a period of a year from the current week.This visualization is created for use within the Earth Information Center (EIC). || ", "hits": 372 }, { "id": 5051, "url": "https://svs.gsfc.nasa.gov/5051/", "result_type": "Visualization", "release_date": "2022-12-12T00:00:00-05:00", "title": "Drought conditions set the stage for an intense fire season in California in 2021", "description": "NASA’s Earth Information System (EIS) analysis captures the onset of drought and heightened fire conditions in mid-August 2021, with seasonal deficits of rainfall, exceptionally dry soils, onset of acute vegetation stress, and reduced plant growth. || fire_hyro_VIZ01_final_HD.02350_print.jpg (1024x576) [135.1 KB] || fire_hyro_VIZ01_final_HD.02350_searchweb.png (320x180) [73.4 KB] || fire_hyro_VIZ01_final_HD.02350_thm.png (80x40) [5.1 KB] || fire_hyro_VIZ01_final_HD_1080p59.94.mp4 (1920x1080) [20.6 MB] || 1920x1080_16x9_60p (1920x1080) [256.0 KB] || fire_hyro_VIZ01_final_HD_1080p59.94.webm (1920x1080) [6.7 MB] || fire_hyro_VIZ01_final_4k_2160p59.94.mp4 (3840x2160) [66.2 MB] || 3840x2160_16x9_60p (3840x2160) [256.0 KB] || 9600x3240_16x9_30p (9600x3240) [256.0 KB] || ", "hits": 41 }, { "id": 5052, "url": "https://svs.gsfc.nasa.gov/5052/", "result_type": "Visualization", "release_date": "2022-12-12T00:00:00-05:00", "title": "Post-Fire: Assessing Downstream Effects on Hydrology and Water Quality (Thomas Fire)", "description": "Tracing Hydrological impacts of wildfires to understand downstream landslide risks; an example of the 2017 Thomas Fire, Southern California. || thomas_fire_FINAL_035_HD.04500_print.jpg (1024x576) [211.6 KB] || thomas_fire_FINAL_035_HD.04500_searchweb.png (320x180) [81.0 KB] || thomas_fire_FINAL_035_HD.04500_thm.png (80x40) [6.0 KB] || thomas_fire_FINAL_035_HD_1080p59.94.mp4 (1920x1080) [28.5 MB] || 1920x1080_16x9_60p (1920x1080) [256.0 KB] || thomas_fire_FINAL_035_HD_1080p59.94.webm (1920x1080) [6.9 MB] || thomas_fire_FINAL_035_4k_2160p59.94.mp4 (3840x2160) [90.0 MB] || 9600x3240_16x9_30p (9600x3240) [128.0 KB] || 3840x2160_16x9_60p (3840x2160) [256.0 KB] || ", "hits": 37 }, { "id": 31180, "url": "https://svs.gsfc.nasa.gov/31180/", "result_type": "Hyperwall Visual", "release_date": "2022-03-10T10:00:00-05:00", "title": "NASA and Agriculture: From Seeds to Satellites", "description": "Complete transcript available. || ComClas_Final_Cut.00148_print.jpg (1024x576) [55.5 KB] || Screen_Shot_2022-03-03_at_1.29.01_PM.png (2478x1382) [1.5 MB] || ComClas_Final_Cut.00148_searchweb.png (320x180) [45.5 KB] || ComClas_Final_Cut.00148_web.png (320x180) [45.5 KB] || ComClas_Final_Cut.00148_thm.png (80x40) [4.1 KB] || ComClas_Final_Cut.webm (1920x1080) [8.0 MB] || ComClas_Final_Cut.mp4 (1920x1080) [126.1 MB] || ComClas_Final_Cut_otter_ai.en_US.srt [1009 bytes] || ComClas_Final_Cut_otter_ai.en_US.vtt [1022 bytes] || ", "hits": 181 }, { "id": 13702, "url": "https://svs.gsfc.nasa.gov/13702/", "result_type": "Produced Video", "release_date": "2020-08-27T11:00:00-04:00", "title": "Satellites See Fires Burning Across California", "description": "In August 2020, California is facing several major fires, including the LNU Lightning Complex Fire which grew into the second-largest wildfire in California history. The state's heat waves, droughts, and lightning all played a role in the devastating fire season. || ", "hits": 21 }, { "id": 13646, "url": "https://svs.gsfc.nasa.gov/13646/", "result_type": "Produced Video", "release_date": "2020-06-19T00:00:00-04:00", "title": "NASA Satellites Help Farmers in Central America's Dry Corridor", "description": "Music: \"Beautiful Serenity,\" Samuel Karl Bohn & Anthony Phillips, Universal Production Music.Complete transcript available. || Elsalvador_thumb_print.jpg (1024x570) [271.1 KB] || Elsalvador_thumb_searchweb.png (320x180) [151.0 KB] || Elsalvador_thumb_thm.png (80x40) [11.9 KB] || ElSalvador_Twitter.mp4 (1920x1080) [43.5 MB] || ElSalvador_prores.mov (1920x1080) [2.7 GB] || ElSalvador_YouTube.mp4 (1920x1080) [325.4 MB] || ElSalvador_prores.webm (1920x1080) [27.3 MB] || elsalvador.en_US.srt [3.6 KB] || elsalvador.en_US.vtt [3.6 KB] || ", "hits": 34 }, { "id": 13574, "url": "https://svs.gsfc.nasa.gov/13574/", "result_type": "Produced Video", "release_date": "2020-03-31T11:00:00-04:00", "title": "Global Maps of Dryness Help Prepare for Water Use around the Globe", "description": "Music: Lines of Enquiry by Theo Golding [PRS]Complete transcript available. || Still.png (1673x941) [936.4 KB] || Still_print.jpg (1024x575) [73.9 KB] || Still_searchweb.png (320x180) [44.5 KB] || Still_thm.png (80x40) [4.8 KB] || YOUTUBE_1080_13574_GRACEDryness_VX-1020457_youtube_1080.webm (1920x1080) [24.5 MB] || YOUTUBE_1080_13574_GRACEDryness_VX-1020457_youtube_1080.mp4 (1920x1080) [287.7 MB] || GRACEDryness.en_US.srt [4.4 KB] || GRACEDryness.en_US.vtt [4.4 KB] || ", "hits": 30 }, { "id": 13253, "url": "https://svs.gsfc.nasa.gov/13253/", "result_type": "Produced Video", "release_date": "2019-07-09T10:50:00-04:00", "title": "A Drier Future Sets the Stage for More Wildfires", "description": "Music: Motion Blur by Sam Dodson, Spring Into Life by Oliver Worth, and Critical Pathway by Rik Carter. Complete transcript available. || Camp_Fire_oli_2018312_Landsat.jpg (3017x2011) [1.3 MB] || Camp_Fire_oli_2018312_Landsat_searchweb.png (320x180) [119.1 KB] || Camp_Fire_oli_2018312_Landsat_thm.png (80x40) [7.6 KB] || DroughtsFires_V2.webm (1920x1080) [17.2 MB] || DroughtsFires_V2.mp4 (1920x1080) [158.2 MB] || DroughtsFires_V2.en_US.srt [2.7 KB] || DroughtsFires_V2.en_US.vtt [2.7 KB] || DroughtsFires_V2.mov (1920x1080) [3.2 GB] || ", "hits": 50 }, { "id": 13242, "url": "https://svs.gsfc.nasa.gov/13242/", "result_type": "Produced Video", "release_date": "2019-07-01T11:00:00-04:00", "title": "Using NASA Data to Monitor Drought and Food Insecurity", "description": "NASA’s satellite imagery and model forecasts play an important role in monitoring the performance of crops worldwide and preparing for food shortages. NASA's view from space helps government agencies forecast food insecurity, like during the drought in Southern Africa in 2018. || ", "hits": 39 }, { "id": 13227, "url": "https://svs.gsfc.nasa.gov/13227/", "result_type": "Produced Video", "release_date": "2019-06-12T11:00:00-04:00", "title": "NASA Follows Changing Freshwater from Space", "description": "When we look into the vastness of space, our home planet stands out in many ways. One of the most crucial is the presence of abundant, accessible freshwater -- as a liquid, solid and gas. Water helps make our planet habitable. The first question NASA researchers studying freshwater on Earth ask is: Where is the water? As it constantly cycles between water vapor, rain and snow, and reservoirs above and below ground, water is tracked by a fleet of NASA satellites. Heat travels with that water, as energy from the Sun drives freshwater’s transformations between vapor, liquid water, and ice. As our planet warms due to greenhouse gases, scientists have a second pressing question: How is climate change affecting the distribution of water? || ", "hits": 67 }, { "id": 13198, "url": "https://svs.gsfc.nasa.gov/13198/", "result_type": "Produced Video", "release_date": "2019-05-01T13:00:00-04:00", "title": "Human Influence on Global Droughts Goes Back 100 Years", "description": "Music: In Light of Things by Matthew Charles Gilbert DavidsonComplete transcript available. || Hydroclimate_Thumbnail.png (1920x1080) [3.1 MB] || Hydroclimate_Thumbnail_print.jpg (1024x576) [166.5 KB] || Hydroclimate_Thumbnail_searchweb.png (320x180) [114.8 KB] || Hydroclimate_Thumbnail_thm.png (80x40) [7.6 KB] || Hydroclimate_highres.mp4 (1920x1080) [330.6 MB] || Hydroclimate_V4.en_US.srt [1.8 KB] || Hydroclimate_V4.en_US.vtt [1.8 KB] || Hydroclimate.webm [0 bytes] || Hydroclimate.mov (1920x1080) [2.5 GB] || ", "hits": 48 }, { "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] || ", "hits": 16 }, { "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": 22 }, { "id": 4477, "url": "https://svs.gsfc.nasa.gov/4477/", "result_type": "Visualization", "release_date": "2016-07-28T18:00:00-04:00", "title": "GRACE over Brazil (March 2015 - March 2016)", "description": "Example animation showing significant ground water storage loss in the northern half of Brazil. This animation starts with a global view of the Americas, then zooms into the country of Brazil. Finally, monthly GRACE water storage anomaly data from March 2015 to March 2016 are shown. || grace2016.0598_print.jpg (1024x576) [81.8 KB] || grace2016.0598_thm.png (80x40) [5.9 KB] || grace2016.0598_searchweb.png (320x180) [63.1 KB] || grace2016_720p30.mp4 (1280x720) [2.8 MB] || Earth (1920x1080) [0 Item(s)] || Brazil_TWSA_data (1920x1080) [0 Item(s)] || Brazil_label (1920x1080) [0 Item(s)] || Brazil_outlines (1920x1080) [0 Item(s)] || Country_names (1920x1080) [0 Item(s)] || Brazil_mask (1920x1080) [0 Item(s)] || Country_borders (1920x1080) [0 Item(s)] || Example_edit (1920x1080) [0 Item(s)] || grace2016_1080p30.webm (1920x1080) [1.6 MB] || 4477_GRACE_Brazil_2016_youtube_hq.mov (1920x1080) [35.7 MB] || 4477_GRACE_Brazil_2016_appletv.m4v (1280x720) [11.0 MB] || grace2016_1080p30.mp4 (1920x1080) [5.1 MB] || 4477_GRACE_Brazil_2016.mpeg (1280x720) [100.5 MB] || 4477_GRACE_Brazil_2016_prores.mov (1280x720) [413.9 MB] || grace2016_360p30.mp4 (640x360) [1.0 MB] || 4477_GRACE_Brazil_2016_ipod_sm.mp4 (320x240) [3.0 MB] || grace2016_1080p30.mp4.hwshow [183 bytes] || ", "hits": 27 }, { "id": 4339, "url": "https://svs.gsfc.nasa.gov/4339/", "result_type": "Visualization", "release_date": "2015-10-30T09:00:00-04:00", "title": "GRACE Detects Brazil Drought", "description": "Example animation showing significant ground water storage loss around Brazil's most populated areas. This animation starts with a global view of the Americas, then zooms into the country of Brazil. The location of major reservoirs are revealed, followed by population data. Lastly, GRACE water storage anomaly data for the months of April, May, June is shown beginning in 2002 and going up to 2014. Finally, the region around São Paulo and Rio de Janeiro is highlighted to show the significant water storage loss in this highly populated region.This video is also available on our YouTube channel. || brazil_comp2.0760_print.jpg (1024x576) [101.6 KB] || brazil_comp2.0760_thm.png (80x40) [6.4 KB] || brazil_comp2.0760_searchweb.png (320x180) [72.9 KB] || brazil_comp2_1080p30.mp4 (1920x1080) [9.2 MB] || Population_Overlay (1920x1080) [0 Item(s)] || Country_boundaries (1920x1080) [0 Item(s)] || Brazil_boundary_mask (1920x1080) [0 Item(s)] || Reservoirs_solid_circle (1920x1080) [0 Item(s)] || Country_names (1920x1080) [0 Item(s)] || Year_Annotation (1920x1080) [0 Item(s)] || Brazil_mask (1920x1080) [0 Item(s)] || Background_Earth (1920x1080) [0 Item(s)] || Brazil_country_label (1920x1080) [0 Item(s)] || Brazil_state_boundaries (1920x1080) [0 Item(s)] || Reservoirs_hollow_circle (1920x1080) [0 Item(s)] || GRACE_Data_Overlay (1920x1080) [0 Item(s)] || Example_Composite (1920x1080) [0 Item(s)] || brazil_comp2_1080p30.webm (1920x1080) [3.1 MB] || brazil_comp2_1080p30.mp4.hwshow [186 bytes] || ", "hits": 28 }, { "id": 12035, "url": "https://svs.gsfc.nasa.gov/12035/", "result_type": "Produced Video", "release_date": "2015-10-28T11:00:00-04:00", "title": "Brazil’s Extreme Drought Seen From Space", "description": "Empty water reservoirs, severe water rationing, and electrical blackouts are the new status quo in major cities across southeastern Brazil where the worst drought in 35 years has desiccated the region. A new NASA study estimates that the region has lost an average of 15 trillion gallons of water per year from 2012 to 2015. Eastern Brazil as a whole has lost on average 28 trillion gallons of water per year over the same time period.Augusto Getirana, a hydrologist at NASA's Goddard Space Flight Center, in Greenbelt, Maryland, analyzed the amount of water stored in aquifers and rivers across Brazil from 2002 to 2015, interested in understanding the depth of the current drought.A new data visualization of 13 years of GRACE data shows the distribution of water across Brazil. Blues indicate increases in water, mostly occurring in the western regions of Brazil in the rainforest. Meanwhile red and orange shows where water stores have declined, occurring mainly in the north and southeast. At the beginning of the data collection, in 2002, Brazil was just coming out of a drought that began in 2000. A wet period followed until 2012 when dry conditions set in again due to a lack of precipitation and higher than usual temperatures, according to supplemental data.Southeastern Brazil was hardest hit by drought conditions, said Getirana. To make matters worse, Brazil relies on rivers that feed into reservoirs and dams that generate about 75 percent of the electrical power for the country. By September 2014, for example, the Cantareira reservoir system that provides water for 8.8 million people in São Paulo's metro region reported that it was filled to 10.7 percent of its total capacity, a situation that has led to major water rationing.Research: Extreme water deficit in Brazil detected from space.Journal: Hydrometeorology, October 27, 2015.Link to paper: http://journals.ametsoc.org/doi/abs/10.1175/JHM-D-15-0096.1Here is the YouTube video.Additional footage from: Itaipu Binacional Files. || ", "hits": 49 }, { "id": 12036, "url": "https://svs.gsfc.nasa.gov/12036/", "result_type": "Produced Video", "release_date": "2015-10-28T11:00:00-04:00", "title": "Instagram: Brazil's Extreme Drought Seen From Space", "description": "Empty water reservoirs, severe water rationing, and electrical blackouts are the new status quo in major cities across southeastern Brazil where the worst drought in 35 years has desiccated the region. A new NASA study estimates that the region has lost an average of 15 trillion gallons of water per year from 2012 to 2015. Eastern Brazil as a whole has lost on average 28 trillion gallons of water per year over the same time period.Augusto Getirana, a hydrologist at NASA's Goddard Space Flight Center, in Greenbelt, Maryland, analyzed the amount of water stored in aquifers and rivers across Brazil from 2002 to 2015, interested in understanding the depth of the current drought.A new data visualization of 13 years of GRACE data shows the distribution of water across Brazil. Blues indicate increases in water, mostly occurring in the western regions of Brazil in the rainforest. Meanwhile red and orange shows where water stores have declined, occurring mainly in the north and southeast. At the beginning of the data collection, in 2002, Brazil was just coming out of a drought that began in 2000. A wet period followed until 2012 when dry conditions set in again due to a lack of precipitation and higher than usual temperatures, according to supplemental data.Southeastern Brazil was hardest hit by drought conditions, said Getirana. To make matters worse, Brazil relies on rivers that feed into reservoirs and dams that generate about 75 percent of the electrical power for the country. By September 2014, for example, the Cantareira reservoir system that provides water for 8.8 million people in São Paulo's metro region reported that it was filled to 10.7 percent of its total capacity, a situation that has led to major water rationing.Research: Extreme water deficit in Brazil detected from space.Journal: Hydrometeorology, October 27, 2015.Link to paper: http://journals.ametsoc.org/doi/abs/10.1175/JHM-D-15-0096.1Here is the YouTube video.Additional footage from: Itaipu Binacional Files. || ", "hits": 26 }, { "id": 11966, "url": "https://svs.gsfc.nasa.gov/11966/", "result_type": "Produced Video", "release_date": "2015-07-31T00:00:00-04:00", "title": "A Tale Of Two Extremes Live Shots", "description": "The accumulated precipitation product visualized here begins on January 1, 2015 and runs through July 16, 2015. This visualization shows the heavy rainfall throughout Northern Texas and across Oklahoma as well as the drought in Southern California.This video is also available on our YouTube channel. || usa_drought_accum.6400_print.jpg (1024x576) [143.8 KB] || usa_drought_accum.6400_searchweb.png (320x180) [91.0 KB] || usa_drought_accum.6400_thm.png (80x40) [7.0 KB] || usa_drought_accum.6.mp4 (1920x1080) [6.5 MB] || rainfall_only_on_land (1920x1080) [32.0 KB] || usa_drought_accum_w_cbar_comp_1080p30.mp4 (1920x1080) [7.0 MB] || rainfall_only_on_land_with_colorbar (1920x1080) [32.0 KB] || usa_drought_accum.6.webm (1920x1080) [1.5 MB] || ", "hits": 25 }, { "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": 22 }, { "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": 75 }, { "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": 213 }, { "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": 64 }, { "id": 30521, "url": "https://svs.gsfc.nasa.gov/30521/", "result_type": "Hyperwall Visual", "release_date": "2014-10-01T23:00:00-04:00", "title": "California Drought", "description": "The NASA Gravity Recovery and Climate Experiment (GRACE) mission, launched in 2002, maps changes in Earth's gravity field resulting from the movement of water over the planet. As water moves around the globe — for example, due to flooding in some regions and drought in others — GRACE acts like a 'scale in the sky,' mapping the regions of Earth that are gaining or losing water each month. The GRACE mission has been particularly successful in monitoring the melting of the Greenland and Antartic ice sheets, and in mapping changing freshwater storage on land. This animation shows how the total amount of water (all of the snow, surface water, soil moisture and groundwater) varies in space and time, with the passage of dry seasons and wet seasons as well as with flooding, drought and transport due to water management Blue colors represent wetter than average conditions (relative to the 2002-2013 time period) and the red colors represent drier than average conditions. The graph at the left shows the monthly changes for the average of map region outlined in yellow. The yellow line in the graph at the left shows interannual variations.The Sacramento and San Joaquiin River basins are outlined in yellow and the rivers and their tributaries are shown by the blue lines. The basins include California's Central Valley, the most productive agricultural region in the United States. Ongoing drought in California has drained the state of nearly 15 cubic kilometers (12 miillion acre feet; 4 trillion gallons) of water in each of the last 3 years. Much of the loss is a result of groundwater depletion. Limited rainfall and snowmelt throughout the state has forced agriculture and cities to rely more heavily on groundwater reserves, resulting in rapid depletion of the aquifer beneath the Central Valley. At least 50% of the annual water loss is due to the removal of groundwater. || ", "hits": 44 }, { "id": 30158, "url": "https://svs.gsfc.nasa.gov/30158/", "result_type": "Hyperwall Visual", "release_date": "2013-10-17T12:00:00-04:00", "title": "Drought Cycles in Australia", "description": "Drought is a frequent visitor in Australia. The Australian Bureau of Meteorology describes the typical rainfall over much of the continent as “not only low, but highly erratic.” These satellite-based vegetation images document what farmers and ranchers have had to contend with over the past decade. The images are centered on the agricultural areas near the Murray River—Australia’s largest river—between Hume Reservoir and Lake Tyrrell. The series shows vegetation growing conditions for a 16-day period in the middle of September each year from 2000 through 2010 compared to the average mid-September conditions over the decade. Places where the amount and/or health of vegetation was above the decadal average are green, average areas are off-white, and places where vegetation growth was below average are brown. || ", "hits": 12 }, { "id": 11221, "url": "https://svs.gsfc.nasa.gov/11221/", "result_type": "Produced Video", "release_date": "2013-04-12T00:00:00-04:00", "title": "GPM: Our Wet Wide World", "description": "The Global Precipitation Measurement (GPM) is an international satellite mission to provide next-generation observations of rain and snow worldwide every three hours. NASA and the Japan Aerospace Exploration Agency (JAXA) will launch a \"Core\" satellite carrying advanced instruments that will set a new standard for precipitation measurements from space. The data they provide will be used to unify precipitation measurements made by an international network of partner satellites to quantify when, where, and how much it rains or snows around the world.The GPM mission will help advance our understanding of Earth's water and energy cycles, improve the forecasting of extreme events that cause natural disasters, and extend current capabilities of using satellite precipitation information to directly benefit society. || ", "hits": 30 }, { "id": 4015, "url": "https://svs.gsfc.nasa.gov/4015/", "result_type": "Visualization", "release_date": "2012-12-05T00:00:00-05:00", "title": "Drought 2010-2012", "description": "The Evaporative Stress Index (ESI) provides objective, high-resolution information about the evaporation of water from land surface. The ESI model combines satellite data with other meteorological factors to determine how much water is used by crops and vegetation. The resulting data helps to detect drought.This visualization shows ESI data for 2010, 2011, and 2012. 2010 was a relatively wet year despite occasional drought. In 2011, the ESI shows extremely dry conditions across all of Texas, Louisiana, and Oklahoma, tracking one of the country's most devastating droughts. In 2012, the ESI shows plant stress in the Corn Belt region as early as May. These warning signs later developed into a full drought that impacted the world's corn and soy been supply.The kind of early-warning detection system ESI provides will enhance the US arsenal of drought monitoring tools and help farmers adapt to drought before it evolves. || ", "hits": 32 }, { "id": 11159, "url": "https://svs.gsfc.nasa.gov/11159/", "result_type": "Produced Video", "release_date": "2012-12-04T10:00:00-05:00", "title": "2012 and the Future of Fire", "description": "The U.S. fire season in 2012 was by some measures a record-breaking season. NASA scientist Doug Morton and University of Maryland scientist Louis Giglio discuss the links between climate and wildfires and the likelihood of seeing more extreme fire events in the future. This page includes a short video discussing these topics, extended interview clips from Giglio and Morton, and visualizations of the 2012 fire season in North America. || ", "hits": 20 }, { "id": 11091, "url": "https://svs.gsfc.nasa.gov/11091/", "result_type": "Produced Video", "release_date": "2012-08-27T13:00:00-04:00", "title": "GPM Applications", "description": "Water is fundamental to life on Earth. Knowing where and how much rain and snow falls globally is vital to understanding how weather and climate impact both our environment and Earth's water and energy cycles, including effects on agriculture, fresh water availability, and responses to natural disasters. Since rainfall and snowfall vary greatly from place to place and over time, satellites can provide more uniform observations of rain and snow around the globe than ground instruments, especially in areas where surface measurements are difficult. GPM's next-generation global precipitation data will lead to scientific advances and societal benefits in the following areas: Improved knowledge of the Earth's water cycle and its link to climate change New insights into precipitation microphysics, storm structures and large-scale atmospheric processes Better understanding of climate sensitivity and feedback processes Extended capabilities in monitoring and predicting hurricanes and other extreme weather events Improved forecasting capabilities for natural hazards, including floods, droughts and landslides. Enhanced numerical prediction skills for weather and climate Better agricultural crop forecasting and monitoring of freshwater resources.For more information and resources please visit the Precipitation Measurement Missions web site. || ", "hits": 34 }, { "id": 10989, "url": "https://svs.gsfc.nasa.gov/10989/", "result_type": "Produced Video", "release_date": "2012-05-15T00:00:00-04:00", "title": "GPM: The Fresh(water) Connection", "description": "The Global Precipitation Measurement (GPM) is an international satellite mission to provide next-generation observations of rain and snow worldwide every three hours. NASA and the Japan Aerospace Exploration Agency (JAXA) will launch a \"Core\" satellite carrying advanced instruments that will set a new standard for precipitation measurements from space. The data they provide will be used to unify precipitation measurements made by an international network of partner satellites to quantify when, where, and how much it rains or snows around the world. The GPM mission will help advance our understanding of Earth's water and energy cycles, improve the forecasting of extreme events that cause natural disasters, and extend current capabilities of using satellite precipitation information to directly benefit society. || ", "hits": 37 }, { "id": 10879, "url": "https://svs.gsfc.nasa.gov/10879/", "result_type": "Produced Video", "release_date": "2011-12-05T14:00:00-05:00", "title": "Ancient Dry Spells Offer Clues About the Future of Drought", "description": "New climate modeling shows that widespread deforestation in pre-Columbian Central America corresponded with decreased levels of precipitation. || ", "hits": 30 }, { "id": 3850, "url": "https://svs.gsfc.nasa.gov/3850/", "result_type": "Visualization", "release_date": "2011-08-30T00:00:00-04:00", "title": "Extreme Russian Fires and Pakistan Floods Linked Meteorologically", "description": "In the summer of 2010, months of record-breaking drought and temperatures culminated with a rash of fires that ravaged western Russia for weeks. Temperatures in Moscow soared to an average of 104 °F (40 °C) during late July and early August — more than 18 °F (10 °C) above normal. Hundreds of fires broke out producing some $15 million in damages. The heat and smoke killed about 56,000 people, making the Russian wildfires fires one of the most lethal natural disasters of the year.Meanwhile, some 930 kilometers (1,500 miles) away, relentless rainfall was simultaneously pounding Pakistan and generating intense flooding. The Pakistan Meteorological Department reported nationwide rain totals 70 percent above normal in July and 102 percent above normal in August.New research conducted by William Lau, an atmospheric scientist at NASA's Goddard Space Flight Center in Greenbelt, Md., suggests the two seemingly disconnected events were actually closely linked.Under normal circumstances, the jet stream pushes weather fronts through Eurasia in four or five days, but something unusual happened in July of 2010. A large-scale, stagnant weather pattern — known as an Omega blocking event — slowed the Rossby wave over Russia and prevented the normal progression of weather systems from west to east.As a result, a large region of high-pressure formed over Russia trapping a hot, dry air mass over the area. As the high lingered, the land surface dried and the normal transfer of moisture from the soil to the atmosphere slowed. Precipitation ceased, vegetation dried out, and the region became a taiga tinderbox.Meanwhile, the blocking pattern created unusual downstream wind patterns over Pakistan. Areas of low pressure on the leading edge of the Rossby wave formed in response to the high, pulling cold, dry Siberian air into lower latitudes.This cold air from Siberia clashed with warm, moist air arriving over Pakistan from the Bay of Bengal as part of the monsoon. There's nothing unusual about moisture moving north over India toward the Himalayas. It's a normal part of the monsoon. However, in this case, the unusual wind patterns associated with the blocking high brought upper level air disturbances farther south than typical, which in effect helped shifted the entire monsoon system north and west.This brought heavy monsoon rains — centered over parts of India — squarely over the northern part of Pakistan, a region ill-prepared to handle large amounts of rain. || ", "hits": 28 }, { "id": 3719, "url": "https://svs.gsfc.nasa.gov/3719/", "result_type": "Visualization", "release_date": "2010-06-24T00:00:00-04:00", "title": "MERRA Specific Humidity", "description": "Retrospective-analyses (or reanalyses) have been a critical tool in studying weather and climate variability for the last 15 years. Reanalyses blend the continuity and breadth of output data of a numerical model with the constraint of vast quantities of observational data. The result is a long-term continuous data record. The Modern Era Retrospective-analysis for Research and Applications was developed to support NASA's Earth science objectives, by applying the state-of-the-art GMAO data assimilation system that includes many modern observing systems (such as EOS) in a climate framework.The MERRA time period covers the modern era of remotely sensed data, from 1979 through the present, and the special focus of the atmospheric assimilation is the hydrological cycle.The time period covered by the visualization is the months of May, June, and July of 1988 and 1993, two years with contrasting extreme weather events during the summer: a drought through the midwestern states of the US in 1988, and heavy rains and flooding through the same region in 1993.This visualization shows the specific humidity dataset produced by MERRA, up to a geopotential height of 20 km. The height coordinate is greatly exaggerated. Both opacity and color are driven by the data value.This animation was created as part of a presentation for the Nasa Center for Climate Simulation (NCCS) hyperwall display. This is a set of tiled high definition displays consisting of 5 displays across by 3 displays down. The full resolution of all combined displays is 6840 pixels accross by 2304 pixels down. For the full presentation, see the link below. || ", "hits": 22 }, { "id": 3732, "url": "https://svs.gsfc.nasa.gov/3732/", "result_type": "Visualization", "release_date": "2010-06-24T00:00:00-04:00", "title": "MERRA Relative Humidity", "description": "Retrospective-analyses (or reanalyses) have been a critical tool in studying weather and climate variability for the last 15 years. Reanalyses blend the continuity and breadth of output data of a numerical model with the constraint of vast quantities of observational data. The result is a long-term continuous data record. The Modern Era Retrospective-analysis for Research and Applications was developed to support NASA's Earth science objectives, by applying the state-of-the-art GMAO data assimilation system that includes many modern observing systems (such as EOS) in a climate framework.The MERRA time period covers the modern era of remotely sensed data, from 1979 through the present, and the special focus of the atmospheric assimilation is the hydrological cycle.The time period covered by the visualization is the months of May, June, and July of 1988 and 1993, two years with contrasting extreme weather events during the summer: a drought through the midwestern states of the US in 1988, and heavy rains and flooding through the same region in 1993.This visualization shows the relative humidity dataset produced by MERRA, up to a geopotential height of 20 km. The height coordinate is greatly exaggerated. Both opacity and color are driven by the data value.This animation was created as part of a presentation for the Nasa Center for Climate Simulation (NCCS) hyperwall display. This is a set of tiled high definition displays consisting of 5 displays across by 3 displays down. The full resolution of all combined displays is 6840 pixels accross by 2304 pixels down. For the full presentation, see the link below. || ", "hits": 42 }, { "id": 3733, "url": "https://svs.gsfc.nasa.gov/3733/", "result_type": "Visualization", "release_date": "2010-06-24T00:00:00-04:00", "title": "MERRA Wind", "description": "Retrospective-analyses (or reanalyses) have been a critical tool in studying weather and climate variability for the last 15 years. Reanalyses blend the continuity and breadth of output data of a numerical model with the constraint of vast quantities of observational data. The result is a long-term continuous data record. The Modern Era Retrospective-analysis for Research and Applications was developed to support NASA's Earth science objectives, by applying the state-of-the-art GMAO data assimilation system that includes many modern observing systems (such as EOS) in a climate framework.The MERRA time period covers the modern era of remotely sensed data, from 1979 through the present, and the special focus of the atmospheric assimilation is the hydrological cycle.The time period covered by the visualization is the months of May, June, and July of 1988 and 1993, two years with contrasting extreme weather events during the summer: a drought through the midwestern states of the US in 1988, and heavy rains and flooding through the same region in 1993.This visualization shows the combined U and V components of wind at three different pressure levels: 850 mb, 500 mb, and 300 mb. The pressure coordinate is greatly exaggerated.This animation was created as part of a presentation for the Nasa Center for Climate Simulation (NCCS) hyperwall display. This is a set of tiled high definition displays consisting of 5 displays across by 3 displays down. The full resolution of all combined displays is 6840 pixels accross by 2304 pixels down. For the full presentation, see the link below. || ", "hits": 42 }, { "id": 3734, "url": "https://svs.gsfc.nasa.gov/3734/", "result_type": "Visualization", "release_date": "2010-06-24T00:00:00-04:00", "title": "MERRA Combined Liquid Water and Ice Mixing Ratios", "description": "Retrospective-analyses (or reanalyses) have been a critical tool in studying weather and climate variability for the last 15 years. Reanalyses blend the continuity and breadth of output data of a numerical model with the constraint of vast quantities of observational data. The result is a long-term continuous data record. The Modern Era Retrospective-analysis for Research and Applications was developed to support NASA's Earth science objectives, by applying the state-of-the-art GMAO data assimilation system that includes many modern observing systems (such as EOS) in a climate framework.The MERRA time period covers the modern era of remotely sensed data, from 1979 through the present, and the special focus of the atmospheric assimilation is the hydrological cycle.The time period covered by the visualization is the months of May, June, and July of 1988 and 1993, two years with contrasting extreme weather events during the summer: a drought through the midwestern states of the US in 1988, and heavy rains and flooding through the same region in 1993.This visualization shows the combined liquid water and ice mixing ratio dataset produced by MERRA, roughly corresponding to cloud cover, up to an geopotential height of 20 km. The height coordinate is greatly exaggerated. Both opacity and color are driven by the data value.This animation was created as part of a presentation for the NASA Center for Climate Simulation (NCCS) hyperwall display. This is a set of tiled high definition displays consisting of 5 displays across by 3 displays down. The full resolution of all combined displays is 6840 pixels accross by 2304 pixels down. For the full presentation, see the link below. || ", "hits": 17 }, { "id": 3735, "url": "https://svs.gsfc.nasa.gov/3735/", "result_type": "Visualization", "release_date": "2010-06-24T00:00:00-04:00", "title": "MERRA Rate of Total Precipitation, 1988, 1993", "description": "Retrospective-analyses (or reanalyses) have been a critical tool in studying weather and climate variability for the last 15 years. Reanalyses blend the continuity and breadth of output data of a numerical model with the constraint of vast quantities of observational data. The result is a long-term continuous data record. The Modern Era Retrospective-analysis for Research and Applications was developed to support NASA's Earth science objectives, by applying the state-of-the-art GMAO data assimilation system that includes many modern observing systems (such as EOS) in a climate framework.The MERRA time period covers the modern era of remotely sensed data, from 1979 through the present, and the special focus of the atmospheric assimilation is the hydrological cycle.The time period covered by the visualization is the months of May, June, and July of 1988 and 1993, two years with contrasting extreme weather events during the summer: a drought through the midwestern states of the US in 1988, and heavy rains and flooding through the same region in 1993.This visualization shows the total precipitation rate dataset produced by MERRA.This animation was created as part of a presentation for the NASA Center for Climate Simulation (NCCS) hyperwall display. This is a set of tiled high definition displays consisting of 5 displays across by 3 displays down. The full resolution of all combined displays is 6840 pixels accross by 2304 pixels down. For the full presentation, see the link below. || ", "hits": 17 }, { "id": 3651, "url": "https://svs.gsfc.nasa.gov/3651/", "result_type": "Visualization", "release_date": "2009-10-07T12:00:00-04:00", "title": "World Droughts From 2005 to 2009 Versus Where Crops are Grown", "description": "The Global Inventory Monitoring and Modeling Studies (GIMMS) group at NASA Goddard Space Flight Center (NASA/GSFC) provides United States Department of Agriculture/Foreign Agricultural Service (USDA/FAS) with global data stream of NDVI that spans over two decades (1981-present). The GIMMS NDVI is derived from measurements made by the Advanced Very High Resolution Radiometer (AVHRR), Global Area Coverage (GAC) data from the National Atmospheric Oceanic Administration (NOAA) polar orbiting series of satellites. GIMMS has inter-calibrated the data from the NOAA-AVHRR satellite series and performed atmospheric correction to minimize the effects of volcanic aerosols to produce and maintain a consistent NDVI archive. The NDVI archive from GIMMS provides the historic database for monitoring the response of vegetation to climatic conditions.Linking the MODIS data to the long-term GIMMS AVHRR/NDVI, archive and SPOT Vegetation sensor data is a critical component of this project providing a consistent multi-source long-term data record for agricultural monitoring. This allows FAS analysts to compare current data with the spatial extent and severity of NDVI anomalies associated with heat stress, droughts and floods associated with crop failures. || ", "hits": 15 }, { "id": 10402, "url": "https://svs.gsfc.nasa.gov/10402/", "result_type": "Produced Video", "release_date": "2009-03-11T00:00:00-04:00", "title": "Rain, Drought, Urbanization Contributing Factors for Storms", "description": "On March 14, 2008, a tornado swept through downtown Atlanta, its 130 mile-per-hour winds ripping holes in the roof of the Georgia Dome, blowing out office windows and trashing parts of Centennial Olympic Park. It was an event so rare in an urban landscape that researchers immediately began to examine NASA satellite data and historical archives to see what weather and climatological ingredients may have combined to brew such a storm. Read more at http://www.nasa.gov/topics/earth/features/atlanta_tornado.html. || ", "hits": 13 }, { "id": 3523, "url": "https://svs.gsfc.nasa.gov/3523/", "result_type": "Visualization", "release_date": "2008-01-07T00:00:00-05:00", "title": "Seasonal Landcover for Science On a Sphere", "description": "The Blue Marble Next Generation (BMNG) data set provides a monthly global cloud-free true-color picture of the Earth's land cover at a 500-meter spatial resolution. This series of images fades from month to month showing seasonal variations such as snowfall, spring greening and droughts in a seamless fashion. The data set,derived from monthly data collected in 2004, is shown on a flat cartesian grid. The ocean color is derived from applying a depth shading to the bathymetry data. Where available, the Antarctica coverage shown is the Landsat Image Mosaic of Antarctica (LIMA). || ", "hits": 41 }, { "id": 3110, "url": "https://svs.gsfc.nasa.gov/3110/", "result_type": "Visualization", "release_date": "2005-02-16T12:00:00-05:00", "title": "Vegetation Images Show Drought in Western US (WMS)", "description": "Satellite data can gauge the health of plants, which is a good indicator of drought. The Normalized Difference Vegetation Index (NDVI) measures how dense and green plant leaves are. NDVI images are useful as a measure of drought when compared to 'normal' plant health. Scientists calculate average NDVI values for an area to find out what is normal at a particular time of year. This animation uses satellite imagery to show changes in vegetation between 1999 and 2003. In 2002, drought had settled across the Midwest. Large dark brown sections of eastern Colorado show where vegetation was less lush and healthy than normal. This version of the visualization is a wide view showing the western United States. The data were measured by the vegetation instrument on Europe's SPOT-4 satellite, and were provided by DigitalGlobe/SPOT under agreement with the U.S. Department of Agriculture Foreign Agricultural Service (USDA/FAS). || ", "hits": 10 }, { "id": 20030, "url": "https://svs.gsfc.nasa.gov/20030/", "result_type": "Animation", "release_date": "2004-06-24T12:00:00-04:00", "title": "NASA Explains 'Dust Bowl' Drought", "description": "Abnormal sea surface temperatures (SST) in the Pacific and the Atlantic Ocean played a strong role in the 1930s dust bowl drought. Scientists used SST data acquired from old ship records to create starting conditions for the computer models. They let the model run on its own, driven only by the observed monthly global sea surface temperatures. The model was able to reconstruct the Dust Bowl drought quite closely, providing strong evidence that the Great Plains dry spell originated with abnormal sea surface temperatures. This sequence shows the warmer than normal SST (red-orange) in that the Atlantic Ocean and colder than normal SST (blues) in the Pacific Ocean, followed by a low level jet stream that shifted and weakened reducing the normal supply of moisture to the Great Plains. || ", "hits": 57 }, { "id": 20031, "url": "https://svs.gsfc.nasa.gov/20031/", "result_type": "Animation", "release_date": "2004-06-24T12:00:00-04:00", "title": "NASA Explains 'Dust Bowl' Drought", "description": "This illustration shows how cooler than normal tropical Pacific Ocean temperatures (blues) and warmer than normal tropical Atlantic Ocean temperatures (red and orange) contributed to a weakened low level jet stream and changed its course. The jet stream normally flows westward over the Gulf of Mexico and then turns northward pulling up moisture and dumping rain onto the Great Plains. During the 1930s, this low level jet stream weakened, carrying less moisture, and shifted further south. The Great Plains land dried up and dust storms blew across the U.S. || ", "hits": 64 }, { "id": 20032, "url": "https://svs.gsfc.nasa.gov/20032/", "result_type": "Animation", "release_date": "2004-06-24T12:00:00-04:00", "title": "NASA Explains 'Dust Bowl' Drought", "description": "This animation illustrates the dust storm caused by the drought in the 1930's. || ", "hits": 24 }, { "id": 2937, "url": "https://svs.gsfc.nasa.gov/2937/", "result_type": "Visualization", "release_date": "2004-05-13T12:00:00-04:00", "title": "NDVI Anomalies Show Areas of Likely Drought in the Western US (wide view)", "description": "Satellite data can gauge the health of plants, which is a good indicator of drought. Satellite imagery shows changes in vegetation between 1999 and 2003. The Normalized Difference Vegetation Index (NDVI) measures how dense and green plant leaves are, which suggests overall vegetative health. The NDVI images are also useful as a measure of drought when compared to 'normal' plant health. NASA scientists calculate average NDVI values for an area to find out what is normal at a particular time of year. This data was measured by the vegetation instrument on Europe's SPOT satellite provided by DigitalGlobe/SPOT, under agreement with the U.S. Department of Agriculture Foreign Agricultural Service (USDA/FAS). In 2002, drought had settled across the Midwest. Large dark brown sections of eastern Colorado show where vegetation was less lush and healthy than normal. This version of the visualization is a wide view showing the western United States. || ", "hits": 20 }, { "id": 2938, "url": "https://svs.gsfc.nasa.gov/2938/", "result_type": "Visualization", "release_date": "2004-05-13T12:00:00-04:00", "title": "NDVI Anomalies Show Areas of Likely Drought in the Western US (Southwest view)", "description": "Satellite data can gauge the health of plants, which is a good indicator of drought. Satellite imagery shows changes in vegetation between 1999 and 2003. The Normalized Difference Vegetation Index (NDVI) measures how dense and green plant leaves are, which suggests overall vegetative health. The NDVI images are also useful as a measure of drought when compared to 'normal' plant health. NASA scientists calculate average NDVI values for an area to find out what is normal at a particular time of year. This data was measured by the vegetation instrument on Europe's SPOT satellite provided by DigitalGlobe/SPOT, under agreement with the U.S. Department of Agriculture Foreign Agricultural Service (USDA/FAS).In 2002, drought had settled across the Midwest. Large dark brown sections of eastern Colorado show where vegetation was less lush and healthy than normal.This version of the visualization focuses on the southwestern United States. || ", "hits": 19 }, { "id": 2939, "url": "https://svs.gsfc.nasa.gov/2939/", "result_type": "Visualization", "release_date": "2004-05-13T12:00:00-04:00", "title": "NDVI Anomalies Show Areas of Likely Drought in the Western US (Colorado view)", "description": "Satellite data can gauge the health of plants, which is a good indicator of drought.Satellite imagery shows changes in vegetation between 1999 and 2003.The Normalized Difference Vegetation Index (NDVI) measures how dense and green plant leaves are, which suggests overall vegetative health.The NDVI images are also useful as a measure of drought when compared to 'normal' plant health. NASA scientists calculate average NDVI values for an area to find out what is normal at a particular time of year. This data was measured by the vegetation instrument on Europe's SPOT satellite provided by DigitalGlobe/SPOT, under agreement with the U.S. Department of Agriculture Foreign Agricultural Service (USDA/FAS).In 2002, drought had settled across the Midwest. Large dark brown sections of eastern Colorado show where vegetation was less lush and healthy than normal.This version of the visualization focuses on Colorado. || ", "hits": 25 }, { "id": 20008, "url": "https://svs.gsfc.nasa.gov/20008/", "result_type": "Animation", "release_date": "2003-11-05T12:00:00-05:00", "title": "Microbes Hitch Ride on African Dust", "description": "Traveling Dust Animation - The dust comes every year during northern Africa's dry season, when storm activity in the Sahara Desert and Sahel generate clouds of dust. The dust originating from fine particles in the arid topsoil is transported into the atmosphere by winds and may be carried in excess of 10,000 feet high into the atmosphere by easterly trade winds. Typically, it takes one to two weeks for the dust clouds to cross the Atlantic Ocean and reach the continental United States..This animation illustrates microbes hitching rides across the Atlantic in the highly irregular nooks and crannies found in the surfaces of dust particles and how they are transported across the Atlantic Ocean. || dustparts_pre.00002_print.jpg (1024x768) [143.4 KB] || dustparts_thm.png (80x40) [18.1 KB] || dustparts_pre.jpg (320x240) [20.5 KB] || dustparts_pre_searchweb.jpg (320x180) [118.0 KB] || a010008_seq001.webmhd.webm (960x540) [2.9 MB] || 720x486_4x3_29.97p (720x486) [32.0 KB] || a010008_seq001.mpg (720x480) [13.2 MB] || a010008_H264_640x480.mp4 (640x480) [7.4 MB] || dustparts.mpg (320x240) [2.7 MB] || ", "hits": 25 }, { "id": 2777, "url": "https://svs.gsfc.nasa.gov/2777/", "result_type": "Visualization", "release_date": "2003-07-22T12:00:00-04:00", "title": "Lake Mead Shrinks!", "description": "Lake Mead reservoir is nestled between Arizona and Nevada and runs up to the Hoover Dam. The reservoir stores Colorado River water and supplies it to farms, homes and business in Southern Nevada, Arizona, southern California and northern Mexico. Scientists at NASA are releasing dramatic pictures of the dwindling water supplies in the drought-stricken western United States. According to the Bureau of Reclamation, the Colorado Basin is in its fourth year of drought and computer models project water levels will go down another 15 to 20 feet (4.6 to 6.1 m) by next year. Despite low water levels, The National Park Service says there is still plenty of water for recreation. The Landsat 7 satellite captured images of Lake Mead May 2000, and May 2003. The 2003 image clearly shows a shrinking lake. || ", "hits": 12 }, { "id": 2493, "url": "https://svs.gsfc.nasa.gov/2493/", "result_type": "Visualization", "release_date": "2002-07-15T12:00:00-04:00", "title": "Drought over Western United States (Stills)", "description": "The product that generated these images is the Normalized Difference Vegetation Index (NDVI), which measures the health of plant life based on their levels of photosynthesis. The NDVI was developed by Compton Tucker, a senior scientist at NASA/Goddard. || NDVI measurments for Arizona during May, 2002. || az_whole.0001.jpg (2560x1920) [804.6 KB] || az_whole.0001_web.jpg (320x240) [16.3 KB] || az_whole.0001.tif (2560x1920) [5.8 MB] || ", "hits": 8 }, { "id": 2489, "url": "https://svs.gsfc.nasa.gov/2489/", "result_type": "Visualization", "release_date": "2002-07-03T12:00:00-04:00", "title": "NDVI for the United States as of May, 2002", "description": "New satellite-derived images of vegetation confirm extremely dry conditions exist that are ripe for fires in the western United States, according to a data collaboration between NASA and the USDA Foreign Agricultural Service. || ", "hits": 23 }, { "id": 758, "url": "https://svs.gsfc.nasa.gov/758/", "result_type": "Visualization", "release_date": "1999-09-15T12:00:00-04:00", "title": "Maryland Drought: Side by Side Comparison of Loch Raven in May and August, 1999", "description": "Side-by-side comparison of Loch Raven, Maryland in May and August, 1999, from Landsat imagery || comparison.jpg (720x486) [38.1 KB] || comparison_thm.png (80x40) [5.8 KB] || comparison_web.jpg (320x216) [10.6 KB] || comparison_web_searchweb.jpg (320x180) [82.3 KB] || ", "hits": 28 }, { "id": 759, "url": "https://svs.gsfc.nasa.gov/759/", "result_type": "Visualization", "release_date": "1999-09-15T12:00:00-04:00", "title": "Maryland Drought: Loch Raven Dissolve Between May and August 1999", "description": "Dissolve between Landsat imagery of Loch Raven, Maryland in May and August of 1999, showing the effects of the drought || a000759.00005_print.png (720x480) [480.1 KB] || a000759_thm.png (80x40) [5.7 KB] || a000759_pre.jpg (320x194) [7.2 KB] || a000759_pre_searchweb.jpg (320x180) [54.6 KB] || a000759.webmhd.webm (960x540) [1.2 MB] || a000759.dv (720x480) [41.0 MB] || a000759.mp4 (640x480) [2.2 MB] || a000759.mpg (352x240) [1.3 MB] || ", "hits": 32 }, { "id": 760, "url": "https://svs.gsfc.nasa.gov/760/", "result_type": "Visualization", "release_date": "1999-09-15T12:00:00-04:00", "title": "Maryland Drought: Zoom down to Liberty Reservoir Comparing July 1997 with July 1999 (with dates)", "description": "Zoom down to Liberty Reservoir comparing July, 1997 and July, 1999. This animation shows Landsat's view of Maryland's Liberty Reservoir from its normal levels in July of 1997 to its extreme low levels during the drought of 1999. || ", "hits": 25 }, { "id": 761, "url": "https://svs.gsfc.nasa.gov/761/", "result_type": "Visualization", "release_date": "1999-09-15T12:00:00-04:00", "title": "Maryland Drought: Zoom down to Liberty Reservoir comparing July 1997 and July 1999 (without dates)", "description": "Zoom down to Liberty Reservoir comparing July, 1997 and July, 1999. This animation shows Landsat's view of Maryland's Liberty Reservoir from its normal levels in July of 1997 to its extreme low levels during the drought of 1999. || ", "hits": 28 }, { "id": 762, "url": "https://svs.gsfc.nasa.gov/762/", "result_type": "Visualization", "release_date": "1999-09-15T12:00:00-04:00", "title": "Maryland Drought: Side-by-side Comparison of Liberty Reservoir in 1997 and 1999 (Without Dates)", "description": "A side-by-side image of Marylands Liberty Reservoir comparing July, 1997 and July, 1999, from Landsat imagery || a000762_still.jpg (720x528) [172.1 KB] || a000762_pre.jpg (320x238) [13.9 KB] || a000762_thm.png (80x40) [6.6 KB] || a000762_pre_searchweb.jpg (320x180) [89.5 KB] || ", "hits": 29 }, { "id": 763, "url": "https://svs.gsfc.nasa.gov/763/", "result_type": "Visualization", "release_date": "1999-09-15T12:00:00-04:00", "title": "Maryland Drought: Side-by-side Comparison of Liberty Reservoir in 1997 and 1999 (With Dates)", "description": "This is a side-by-side image of Maryland's Liberty Reservoir. The image on the left is a Landsat image from July 1997. The image on the right is also a Landsat image, but it was taken in July of 1999 after two consecutive years of drought. || ", "hits": 32 } ] }