{ "count": 230, "next": "https://svs.gsfc.nasa.gov/api/search/?limit=100&offset=100&search=Drought", "previous": null, "results": [ { "id": 31380, "url": "https://svs.gsfc.nasa.gov/31380/", "result_type": "Hyperwall Visual", "release_date": "2026-03-30T12:00:00-04:00", "title": "APEX-12 (Advanced Plant EXperiment-12) on the ISS", "description": "The findings of the APEX series of experiments offer insight into the effects of spaceflight on plant chromosomes, and how these findings could impact human health.", "hits": 406 }, { "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": 343 }, { "id": 5565, "url": "https://svs.gsfc.nasa.gov/5565/", "result_type": "Visualization", "release_date": "2025-06-26T00:00:00-04:00", "title": "Water Cycle Extremes 2002-2024: Droughts and Pluvials", "description": "In a study of 20 years of data from the NASA/German GRACE and GRACE-FO satellites, NASA scientists confirmed that major droughts and pluvials — periods of excessive precipitation and water storage on the landscape — have been occurring more often. They also found that the worldwide intensity of these extreme wet and dry events – a metric that combines extent, duration, and severity — is closely linked to global warming.", "hits": 398 }, { "id": 31176, "url": "https://svs.gsfc.nasa.gov/31176/", "result_type": "Hyperwall Visual", "release_date": "2025-02-10T00:00:00-05:00", "title": "Two Decades of Soil Moisture from Space", "description": "GRACE soil moisture over the continental United States", "hits": 85 }, { "id": 31178, "url": "https://svs.gsfc.nasa.gov/31178/", "result_type": "Hyperwall Visual", "release_date": "2025-02-10T00:00:00-05:00", "title": "Monitoring Global Groundwater from Space", "description": "Global GRACE Soil Moisture from 2003 to 2025.", "hits": 151 }, { "id": 5442, "url": "https://svs.gsfc.nasa.gov/5442/", "result_type": "Visualization", "release_date": "2025-01-29T12:00:00-05:00", "title": "Water Cycle Nonstationarity", "description": "The global water cycle is undergoing unprecedented shifts from climate change, intensified by human water and land management practices. These changes are evident in phenomena such as depleted groundwater, earlier snowmelt, and erratic fluctuations in floods and drought occurrences. To better understand these changes in terrestrial water storage, scientists have integrated multiple remote sensing datasets with NASA’s advanced land surface model through data assimilation, creating a global water storage reanalysis dataset. The results capture the complex patterns of global water cycle shifts in response to both climate and human activities. Using this new integrated dataset, scientists use statistical methods (time series analysis) to identify trends (TR), seasonal shifts (SS), and changes in extreme events (EFR), ultimately developing an index, the “Nonstationarity Index,” (NSI) that quantifies the degree of nonstationarity within the global water system. || ", "hits": 32 }, { "id": 5409, "url": "https://svs.gsfc.nasa.gov/5409/", "result_type": "Visualization", "release_date": "2024-10-17T00:00:00-04:00", "title": "Slow Reveal Graphs: Water Cycle Extremes", "description": "In a study of 20 years of data from the NASA/German GRACE and GRACE-FO satellites, NASA scientists confirmed that major droughts and pluvials — periods of excessive precipitation and water storage on the landscape — have been occurring more often. They also found that the worldwide intensity of these extreme wet and dry events – a metric that combines extent, duration, and severity — is closely linked to global warming.", "hits": 57 }, { "id": 5392, "url": "https://svs.gsfc.nasa.gov/5392/", "result_type": "Visualization", "release_date": "2024-10-01T00:00:00-04:00", "title": "Water Cycle Extremes 2002-2023: Droughts and Pluvials", "description": "This visualization shows extremes of the water cycle — droughts and pluvials — over a twenty-year period (2002-2023) based on observations from the GRACE and GRACE-FO satellites. D. A total of 1,138 extreme wet and dry events are shown the visualization. The plots at the bottom of the figure show that the total intensity of extreme events increased as global temperatures increased. |", "hits": 210 }, { "id": 5213, "url": "https://svs.gsfc.nasa.gov/5213/", "result_type": "Visualization", "release_date": "2024-08-14T15:00:00-04:00", "title": "Changes in the Atmosphere and Ocean During a Transition From La Niña to El Niño", "description": "This is the final version of the ENSO visualization with narration. There are HD and 4k versions available as mp4s. There is also a high quality 4k version which is very large (3.8 Gbytes). Other non-narrated formats including individual frames are available below this entry.This movie is also available on youtube here:https://youtu.be/jK20dl3g9R8?si=38LHf1e0iIzrfhRQlink || ENSO_99_final_4k.01200_print.jpg (1024x576) [82.0 KB] || ENSO_Locked_Final_1080.mp4 (1920x1080) [155.7 MB] || ENSO_Final_Audio.en_US.srt [8.6 KB] || ENSO_Final_Audio.en_US.vtt [8.7 KB] || ENSO_Locked_Final_2160.mp4 (3840x2160) [184.8 MB] || ENSO_Locked_Final_2160_HIGH_QUAL.mp4 (3840x2160) [3.7 GB] || ENSO_Locked_Final_2160.mp4.hwshow [188 bytes] || ", "hits": 306 }, { "id": 14646, "url": "https://svs.gsfc.nasa.gov/14646/", "result_type": "Produced Video", "release_date": "2024-08-12T00:00:00-04:00", "title": "Changes in the Atmosphere and Ocean During a Transition From La Niña to El Niño, Explained", "description": "Complete transcript available. || ENSO_Thumbnail_print.png (1920x1080) [680.2 KB] || ENSO_Thumbnail.jpg (3840x2160) [791.2 KB] || ENSO_Thumbnail_searchweb.png (320x180) [32.9 KB] || ENSO_Thumbnail_web.png (320x180) [32.9 KB] || ENSO_Thumbnail_thm.png (80x40) [3.3 KB] || ENSO_Locked_Final.webm (3840x2160) [229.2 MB] || ENSO_Locked_Final.mp4 (3840x2160) [3.7 GB] || ", "hits": 363 }, { "id": 31280, "url": "https://svs.gsfc.nasa.gov/31280/", "result_type": "Hyperwall Visual", "release_date": "2024-04-24T00:00:00-04:00", "title": "A Rough Harvest for Kansas Wheat", "description": "This is a hyperwall-ready version of the image published at: https://earthobservatory.nasa.gov/images/151487 || ", "hits": 12 }, { "id": 14496, "url": "https://svs.gsfc.nasa.gov/14496/", "result_type": "Produced Video", "release_date": "2024-01-09T06:00:00-05:00", "title": "Soaring Records in NASA & NOAA’s 2023 Global Global Temperature Report", "description": "Soaring Records in NASA & NOAA’s 2023 Global Temperature ReportOn Friday, Jan. 12 at 11 a.m. EST, NASA and NOAA will release the 2023 assessment of global temperatures.", "hits": 94 }, { "id": 14403, "url": "https://svs.gsfc.nasa.gov/14403/", "result_type": "Produced Video", "release_date": "2023-09-18T10:00:00-04:00", "title": "Above the Earth, Below the Surface: Landsat's Role in Monitoring Water Quality", "description": "Above the Earth, Below the Surface - Landsat's Role in Monitoring Water Quality || AboveBelow_Thumb.png (1920x1080) [3.4 MB] || AboveBelow_Thumb_print.jpg (1024x576) [195.6 KB] || AboveBelow_Thumb_searchweb.png (320x180) [105.7 KB] || AboveBelow_Thumb_thm.png (80x40) [7.6 KB] || NASA_AboveBelow.mp4 (1920x1080) [1.1 GB] || NASA_AboveBelow.webm (1920x1080) [60.2 MB] || NASA_AboveBelow_en.en_US.srt [11.8 KB] || NASA_AboveBelow_en.en_US.vtt [11.2 KB] || ", "hits": 48 }, { "id": 40503, "url": "https://svs.gsfc.nasa.gov/gallery/hyperwall-power-playlist-earth-science/", "result_type": "Gallery", "release_date": "2023-08-28T00:00:00-04:00", "title": "Hyperwall Power Playlist - Earth Science Focus", "description": "This is a collection of our most powerful, newsworthy, and frequently used Hyperwall-ready visualizations, along with several that haven't gotten the attention they deserve. They're especially great for more general or top-level science talks, or to \"set the scene\" before a deep dive into a more focused subject or dataset. We've tried to cover the subject areas our speakers focus on most. \n\nIf you're not seeing what you're looking for, there is a huge library of visualizations more localized or specialized in subject - please use the Search function above, and filter \"Result type\" for \"Hyperwall Visual.\"\n\n If you'd like to use one of these visualizations in your Hyperwall presentation, we'll need to know which element on which page. On the visualization's web page, below the visual you'd like to use, you'll see a Link icon next to the Download button. All we need is for you to click on that icon and include that link in your presentation Powerpoint/Keynote or visualization list. Additionally, please check our Hyperwall How-To Guide for tips on designing your Hyperwall presentation, file specifications, and Powerpoint/Keynote templates.", "hits": 267 }, { "id": 40484, "url": "https://svs.gsfc.nasa.gov/gallery/nasaand-agriculture/", "result_type": "Gallery", "release_date": "2023-06-08T00:00:00-04:00", "title": "NASA and Agriculture Video", "description": "The farmers responsible for the food that reaches your plate need a lot of a very precious and limited resource, water. NASA works with farmers like Dwane Roth of Kansas to help them track their water use. Roth says that farmers like him are seeing more frequent, hotter days with less rain. “We need to grow more with less and get as much out of each drop of water we can,” he says. NASA helps to promote the use of Earth observations to strengthen food security. One solution is OpenET, a system that puts near-real-time water data into the hands of farmers in the United States.", "hits": 120 }, { "id": 31231, "url": "https://svs.gsfc.nasa.gov/31231/", "result_type": "Hyperwall Visual", "release_date": "2023-06-07T00:00:00-04:00", "title": "Monitoring California Groundwater", "description": "GRACE California Terrestrial Water Storage from 2002-04 to 2023-03. || grace_ca_water_black_v3_20230316_1200_print.jpg (1024x574) [149.5 KB] || grace_ca_water_black_v3_20230316_1200_searchweb.png (320x180) [66.6 KB] || grace_ca_water_black_v3_20230316_1200_thm.png (80x40) [12.5 KB] || grace_ca_water_2002-2023_seasonal_1080p.mp4 (1920x1080) [7.0 MB] || grace_ca_water_2002-2023_seasonal_1080p.webm (1920x1080) [4.2 MB] || grace_ca_water_2002-2023_seasonal_2160p.mp4 (3840x2160) [23.1 MB] || grace_ca_water_black_v3_20230316_1200.tif (4104x2304) [4.7 MB] || grace_ca_water_2002-2023 (4104x2304) [0 Item(s)] || grace_ca_water_2002-2023_seasonal_1080p.hwshow [112 bytes] || ", "hits": 48 }, { "id": 5098, "url": "https://svs.gsfc.nasa.gov/5098/", "result_type": "Visualization", "release_date": "2023-04-24T09:00:00-04:00", "title": "Relative Wetness Root Zone Versus Groundwater Comparison", "description": "Sample composite showing the comparison between the root zone relative wetness data to groundwater wetness data. The root zone is approximately 1 meter below the surface as opposed to groundwater which is deeper. Seeing these side-by-side allows the viewer to see that the root zone data changes much more rapidly than the deeper stored groundwater data. || root_n_grnd.4k.2676_print.jpg (1024x576) [173.0 KB] || root_n_grnd.4k.2676_searchweb.png (320x180) [73.6 KB] || root_n_grnd.4k.2676_web.png (320x180) [73.6 KB] || root_n_grnd.1080p30.mp4 (1920x1080) [50.5 MB] || root_n_grnd.1080p30.webm (1920x1080) [10.7 MB] || Sample_Composite (3840x2160) [0 Item(s)] || root_n_grnd.2160p30.mp4 (3840x2160) [118.5 MB] || ", "hits": 20 }, { "id": 5087, "url": "https://svs.gsfc.nasa.gov/5087/", "result_type": "Visualization", "release_date": "2023-03-13T12:00:00-04:00", "title": "Water Cycle Extremes: Droughts and Pluvials", "description": "This visualization shows extremes of the water cycle — droughts and pluvials — over a twenty-year period (2002-2021) based on observations from the GRACE and GRACE-FO satellites. Dry events are shown as red spheres and wet events as blue spheres, with earlier years being shown as lighter shades and later years as darker shades. The volume of the sphere is proportional to the intensity of the event, a quantity measured in cubic kilometer months.", "hits": 215 }, { "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": 42 }, { "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": 14223, "url": "https://svs.gsfc.nasa.gov/14223/", "result_type": "Produced Video", "release_date": "2022-10-20T06:00:00-04:00", "title": "NOAA and NASA Continue Mission to Monitor Extreme Weather and EnhanceForecasts with JPSS-2 Launching Nov. 1 Live Shots", "description": "Associated cut b-roll and pre-recorded interview will be added on Friday, Oct 28th by 4:00 p.m. ET || Screen_Shot_2022-10-19_at_5.13.17_PM.png (3250x1072) [3.1 MB] || Screen_Shot_2022-10-19_at_5.13.17_PM_print.jpg (1024x337) [80.1 KB] || Screen_Shot_2022-10-19_at_5.13.17_PM_searchweb.png (320x180) [93.3 KB] || Screen_Shot_2022-10-19_at_5.13.17_PM_thm.png (80x40) [10.5 KB] || ", "hits": 20 }, { "id": 5014, "url": "https://svs.gsfc.nasa.gov/5014/", "result_type": "Visualization", "release_date": "2022-08-17T00:00:00-04:00", "title": "Drought in the Horn of Africa", "description": "According to a July 29 2022 report from the International Food Security and Nutrition Working Group, the worst drought conditions in 70 years across the Horn of Africa have more than 16 million people coping with a shortage of drinking water. Yields of key crops are down for the third year in a row, milk production is in decline, and more than 9 million livestock animals have been lost due to a lack of water and suitable forage land. At the same time, regional conflicts, COVID-19, locusts, and the Ukraine War have caused price spikes and shortages of basic commodities. An estimated 18 to 21 million people now \"face high levels of acute food insecurity\" in Ethiopia, Kenya, and Somalia.These animations depict root zone and surface soil moisture observations and forecasts from the NASA Hydrological Forecast and Analysis System (NHyFAS). Reds depict areas with soil moisture percentages below the average, while blues reflect areas that are above average (often due to passing storms). The first 27 seconds of the animation show soil moisture from August 2020 through June 2022. The final 10 seconds show forecasts for July through December 2022, including the next rainy season. Root zone moisture is critical for long term crop growth. New seedlings are mostly dependent on surface water, but then as plants grow and sink deeper roots, they are sustained by moisture in the top layer of the soil. || ", "hits": 164 }, { "id": 40447, "url": "https://svs.gsfc.nasa.gov/gallery/visualizationsfor-educators/", "result_type": "Gallery", "release_date": "2022-08-17T00:00:00-04:00", "title": "Visualizations for Educators", "description": "Phenomena are observable events that occur in nature. Data visualizations can offer new ways for students to experience and explore Earth and space phenomena that happen over large scales of time and at great distances. This gallery includes visualizations of phenomena that support topics that are taught in middle and high school and are aligned with select Next Generation Science Standards.\n\n\nThis gallery was curated by Anne Arundle County Science Teachers Margaret Graham and Jeremy Milligan with support from Dr. Rachel Connolly during the summer of 2022. A video showing how Jeremy Milligan uses SVS resources to develop a phenomena-based lesson is also available.", "hits": 291 }, { "id": 4971, "url": "https://svs.gsfc.nasa.gov/4971/", "result_type": "Visualization", "release_date": "2022-06-07T10:00:00-04:00", "title": "Monitoring Changing Waters using the Gulf of Maine Atlantic Time Series (GNATS)", "description": "Visualization of 20 years of data from the Gulf of Maine North Atlantic Time Series (GNATS). The data shown are temperatures at the water's surface and below the surface. Satellite based sea surface temperatures are also shown. This version does not include date or color bar overlays. || ship_tracks.00341_FINAL_RfH24.3_H19_2022-02-23_1458.02970_print.jpg (1024x576) [149.8 KB] || ship_tracks.00341_FINAL_RfH24.3_H19_2022-02-23_1458.02970_thm.png (80x40) [6.1 KB] || ship_tracks.00341_FINAL_RfH24.3_H19_2022-02-23_1458.02970_searchweb.png (320x180) [73.4 KB] || ship_tracks.00341_FINAL_RfH24.3_H19_2022-02-23_1458.02970_web.png (320x180) [73.4 KB] || ship_tracks.00341_FINAL_RfH24.3_H19_2022-02-23_1458_1080p29.97.mp4 (1920x1080) [76.4 MB] || ship_tracks.00341_FINAL_RfH24.3_H19_2022-02-23_1458_1080p29.97.webm (1920x1080) [12.0 MB] || 3840x2160_16x9_60p (3840x2160) [1.0 MB] || 9600x3240_16x9_30p (9600x3240) [1.0 MB] || ship_tracks.00341_FINAL_RfH24.3_H19_2022-02-23_1458_2160p59.94.mp4 (3840x2160) [249.3 MB] || preview_5x3_hyperwall_gulf_of_maine.mp4 (2400x810) [129.1 MB] || ", "hits": 79 }, { "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": 200 }, { "id": 4968, "url": "https://svs.gsfc.nasa.gov/4968/", "result_type": "Visualization", "release_date": "2022-03-09T09:00:00-05:00", "title": "Iowa Cropland 2001-2020", "description": "Modeled Iowa corn (yellow) and soybean (green) yields from 2001-2020. || IowaCrops_2022-02-17_1606.01240_print.jpg (1024x576) [479.4 KB] || IowaCrops_2022-02-17_1606.01240_searchweb.png (320x180) [124.0 KB] || IowaCrops_2022-02-17_1606.01240_web.png (320x180) [124.0 KB] || IowaCrops_2022-02-17_1606.01240_thm.png (80x40) [7.7 KB] || IowaCrops_2022-02-17_1606_1080p30.webm (1920x1080) [12.7 MB] || IowaCrops_2022-02-17_1606_1080p30.mp4 (1920x1080) [267.3 MB] || main (3840x2160) [0 Item(s)] || IowaCrops_2022-02-17_1606.mp4 (3840x2160) [491.4 MB] || IowaCrops_2022-02-17_1606_1080p30.mp4.hwshow [199 bytes] || ", "hits": 43 }, { "id": 31177, "url": "https://svs.gsfc.nasa.gov/31177/", "result_type": "Hyperwall Visual", "release_date": "2022-02-15T00:00:00-05:00", "title": "Monitoring California Groundwater 2002-2022", "description": "California land water storage, 2002-2022 || grace_ca_water_title1_202202_print.jpg (1024x576) [139.6 KB] || grace_ca_water_title1_202202_searchweb.png (320x180) [64.0 KB] || grace_ca_water_title1_202202_thm.png (80x40) [12.3 KB] || grace_ca_water_200205-202202_title1_1080p6.mp4 (1920x1080) [4.4 MB] || grace_ca_water_200205-202202_title1_1080p6.webm (1920x1080) [3.9 MB] || grace_ca_water_200205-202202_title1_2160p6.mp4 (3840x2160) [14.4 MB] || grace_ca_water_title1_202202.tif (3840x2160) [4.3 MB] || grace_ca_water_200205-202202_title1_2160.hwshow [125 bytes] || ", "hits": 44 }, { "id": 14066, "url": "https://svs.gsfc.nasa.gov/14066/", "result_type": "Produced Video", "release_date": "2022-01-13T11:00:00-05:00", "title": "Temperature Record 101: How We Know What We Know", "description": "2021 was tied for the sixth warmest year on NASA’s record, stretching more than a century. But, what is a temperature record?GISTEMP, NASA’s global temperature analysis, takes in millions of observations from instruments on weather stations, ships and ocean buoys, and Antarctic research stations, to determine how much warmer or cooler Earth is on average from year to year.Stretching back to 1880, NASA’s record shows a clear warming trend. However, individual weather events and La Niña — a pattern of cooler waters in the Pacific that was responsible for slightly cooling 2021’s average temperature — can affect individual years.Because the record is global, not every place on Earth experienced the sixth warmest year on record. Some places had record-high temperatures, and we saw record droughts, floods and fires around the globe. || ", "hits": 104 }, { "id": 31172, "url": "https://svs.gsfc.nasa.gov/31172/", "result_type": "Hyperwall Visual", "release_date": "2022-01-13T00:00:00-05:00", "title": "First Light from Landsat 9", "description": "The first image collected by Landsat 9, on Oct. 31, 2021, shows remote coastal islands and inlets of the Kimberly region of Western Australia. In the top middle section of the image, the Mitchell River carves through sandstone, while to the left Bigge Island and the Coronation Islands stand out in the Indian Ocean. Australia is a major international partner of the Landsat 9 program, and operates one of the Landsat Ground Network stations in Alice Springs. || l9_australia_hyperwall_rgb_nolabels.jpg (5760x3240) [10.7 MB] || l9_australia_hyperwall_rgb_nolabels_thm.png (80x40) [7.7 KB] || l9_australia_hyperwall_rgb_nolabels_searchweb.png (320x180) [124.3 KB] || first-light-from-landsat-9-western-australia.hwshow [338 bytes] || ", "hits": 54 }, { "id": 31168, "url": "https://svs.gsfc.nasa.gov/31168/", "result_type": "Hyperwall Visual", "release_date": "2021-12-13T00:00:00-05:00", "title": "What NASA Knows from Decades of Earth System Observations", "description": "Karen St. Germain, NASA's Director of Earth Science, gave this presentation to the 2021 United Nations Climate Change ConferenceWatch this video on the NASA Goddard YouTube channel. || KarenStGermain_4k_COP26_Presentation_Final_103850_print.jpg (1024x576) [143.2 KB] || KarenStGermain_4k_COP26_Presentation_Final_103850_searchweb.png (320x180) [87.7 KB] || KarenStGermain_4k_COP26_Presentation_Final_103850_thm.png (80x40) [6.7 KB] || KarenStGermain_HD_COP26_Presentation_Final.webm (1920x1080) [106.3 MB] || KarenStGermain_HD_COP26_Presentation_Final.mp4 (1920x1080) [1008.1 MB] || KarenStGFinal (3840x2160) [0 Item(s)] || transcript_StGermain.en_US.srt [13.6 KB] || transcript_StGermain.en_US.vtt [13.2 KB] || KarenStGermain_4k_COP26_Presentation_Final.mp4 (3840x2160) [7.6 GB] || ", "hits": 46 }, { "id": 13987, "url": "https://svs.gsfc.nasa.gov/13987/", "result_type": "Produced Video", "release_date": "2021-11-05T17:00:00-04:00", "title": "Landsat 9 First Light Images", "description": "The first data from Landsat 9, of Australia's Kimberley Coast in Western Australia, shows off the capabilities of the two instruments on the spacecraft. This image, from the Operational Land Imager 2, or OLI-2, was acquired on Oct. 31, 2021. Although similar in design to its predecessor Landsat 8, the improvements to Landsat 9 allow it to detect more subtle differences, especially over darker areas like water or the dense mangrove forests along the coast. || L9_Australia_20211031_p109r070-lrg.jpg (7621x7811) [24.2 MB] || L9_Australia_20211031_p109r070-lrg_searchweb.png (320x180) [106.1 KB] || L9_Australia_20211031_p109r070-lrg_thm.png (80x40) [7.1 KB] || L9_Australia_20211031_p109r070-lrg.tif (7621x7811) [340.6 MB] || ", "hits": 73 }, { "id": 13910, "url": "https://svs.gsfc.nasa.gov/13910/", "result_type": "Produced Video", "release_date": "2021-08-18T14:00:00-04:00", "title": "Snack Time with NASA", "description": "Snack Time with NASA digs into the science behind what’s on your plate from a tasty cheese board, to seafood, to fresh produce, to chips and dip.Food can bring us a sense of home, and it connects people all around the world. With observations from space and aircraft, combined with high-end computer modeling, NASA scientists work together with partner agencies, organizations, farmers, ranchers, fishermen, and decision makers to understand the relationship between the Earth system and the environments that provide us food. || ", "hits": 32 }, { "id": 4915, "url": "https://svs.gsfc.nasa.gov/4915/", "result_type": "Visualization", "release_date": "2021-08-09T00:00:00-04:00", "title": "A Global view of Normalized Difference Vegetation Index (NDVI) Anomaly in crop-growing regions from 2000 to 2021", "description": "This visualization shows the NDVI anomaly from the year 2000 to 2021 in areas where maize, rice, soybeans, spring wheat or winter wheat are grown. Green colors indicate more than average vegetatation while orange colors indicate less productive areas.Coming soon to our YouTube channel. || NDVI_anomaly_2000-2021.11770.png (1920x1080) [897.2 KB] || NDVI_anomaly_2000-2021.11770_print.jpg (1024x576) [79.6 KB] || NDVI_anomaly_2000-2021.11770_searchweb.png (320x180) [39.8 KB] || NDVI_anomaly_2000-2021.11770_thm.png (80x40) [4.5 KB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || NDVI_anomaly_2000-2021_1080p30.webm (1920x1080) [60.4 MB] || NDVI_anomaly_2000-2021_1080p30.mp4 (1920x1080) [146.7 MB] || 3840x2160_16x9_30p (3840x2160) [0 Item(s)] || captions_silent.31356.en_US.srt [43 bytes] || NDVI_Anomaly_2000_2021_4k_2160p30.mp4 (3840x2160) [608.3 MB] || NDVI_anomaly_2000-2021_1080p30.mp4.hwshow [196 bytes] || ", "hits": 266 }, { "id": 4916, "url": "https://svs.gsfc.nasa.gov/4916/", "result_type": "Visualization", "release_date": "2021-08-09T00:00:00-04:00", "title": "Normalized Difference Vegetation Index (NDVI) Anomaly in crop-growing regions for selected years", "description": "This visualization shows the NDVI anomaly in areas where maize, rice, soybeans, spring wheat or winter wheat are grown over the United States, Australia, Russia, Europe and southern Africa during certain years. Green colors indicate more than average vegetatation while orange colors indicate less productive areas.Coming soon to our YouTube channel. || NDVI_anomaly_regions.1020_print.jpg (1024x576) [140.2 KB] || NDVI_anomaly_regions.1020_searchweb.png (320x180) [72.6 KB] || NDVI_anomaly_regions.1020_thm.png (80x40) [5.9 KB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || NDVI_anomaly_regions_1080p30.mp4 (1920x1080) [110.9 MB] || captions_silent.31363.en_US.srt [43 bytes] || NDVI_anomaly_regions_1080p30.mp4.hwshow [194 bytes] || ", "hits": 112 }, { "id": 4920, "url": "https://svs.gsfc.nasa.gov/4920/", "result_type": "Visualization", "release_date": "2021-08-04T17:00:00-04:00", "title": "Earth System Observatory", "description": "An animated graphic showing the areas of focus for NASA's Earth System Observatory. || EarthSystemObservatory_9.00001_print.jpg (1024x576) [158.4 KB] || EarthSystemObservatory_9.00001_searchweb.png (320x180) [72.0 KB] || EarthSystemObservatory_9.00001_web.png (320x180) [72.0 KB] || EarthSystemObservatory_9.00001_thm.png (80x40) [6.4 KB] || EarthSystemObservatory_9.mp4 (1920x1080) [44.9 MB] || EarthSystemObservatory_9.webm (1920x1080) [4.6 MB] || EarthSystemObservatory_4K_9.mp4 (3840x2160) [47.6 MB] || 3840x2160_16x9_30p (3840x2160) [0 Item(s)] || EarthSystemObservatory_9.mp4.hwshow [220 bytes] || earth-system-observatory-4k-movie.hwshow [329 bytes] || ", "hits": 117 }, { "id": 13571, "url": "https://svs.gsfc.nasa.gov/13571/", "result_type": "Produced Video", "release_date": "2020-10-29T00:00:00-04:00", "title": "GLOBE Observer Why Observe?: Tree Height", "description": "Music: “Enchanted Woodland” by Brice Davoli [SACEM] & Valeria Deniz [SACEM]; Koka Media & Universal Publishing Production Music France; Universal Production Music“Tales of Everlasting Winter” by Brice Davoli [SACEM]; Koka Media & Universla Publishing Production Music France; Universal Production Music“Puzzled,\" \"Intrigues and Plots,\" & \"Pulsing Mallets\" by Laurent Dury [SACEM]; Koka Media & Universal Publishing Production Music France; Universal Production Music“Foreign Land” by Hannes Gottwald [GEMA] & Sinan Hosgel [GEMA]; Ed. Berlin Production Music/Universal Production Music GmbH; Universal Production Music || WhyObserve_TreeHeight.png (1920x1080) [3.5 MB] || WhyObserve_TreeHeight_print.jpg (1024x576) [205.4 KB] || WhyObserve_TreeHeight_searchweb.png (320x180) [99.7 KB] || WhyObserve_TreeHeight_thm.png (80x40) [7.1 KB] || 13571_WhyObserveTreeHeight_FINAL.mov (1920x1080) [14.8 GB] || FACEBOOK_720_13571_WhyObserveTreeHeight_FINAL_VX-314630_facebook_720.mp4 (1280x720) [744.0 MB] || YOUTUBE_1080_13571_WhyObserveTreeHeight_FINAL_VX-314630_youtube_1080.mp4 (1920x1080) [1018.9 MB] || 13571_WhyObserveTreeHeight_FINAL_VX-314630_lowres.mp4 (1280x720) [200.3 MB] || 13571_WhyObserveTreeHeight_FINAL_VX-314630.webm (960x540) [296.3 MB] || 13571_WhyObserveTreeHeight_FINAL.en_US.srt [15.4 KB] || 13571_WhyObserveTreeHeight_FINAL.en_US.vtt [14.8 KB] || ", "hits": 26 }, { "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": 17 }, { "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": 23 }, { "id": 40413, "url": "https://svs.gsfc.nasa.gov/gallery/earth-science-playlist/", "result_type": "Gallery", "release_date": "2020-04-01T00:00:00-04:00", "title": "Earth Science Playlist", "description": "No description available.", "hits": 5 }, { "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": 29 }, { "id": 4806, "url": "https://svs.gsfc.nasa.gov/4806/", "result_type": "Visualization", "release_date": "2020-03-31T00:00:00-04:00", "title": "GRACE Data Assimilation and GEOS-5 Forecasts", "description": "GRACE Surface Water, Root Zone, and Groundwater Storage, Okovango Delta Region || okovango_1080p30.00500_print.jpg (1024x576) [74.4 KB] || okovango_1080p30.00500_searchweb.png (320x180) [56.1 KB] || okovango_1080p30.00500_thm.png (80x40) [5.8 KB] || okovango_1080p30.mp4 (1920x1080) [27.9 MB] || okovango_1080p30.webm (1920x1080) [7.1 MB] || okovango_1080p30.mp4.hwshow [388 bytes] || ", "hits": 62 }, { "id": 4745, "url": "https://svs.gsfc.nasa.gov/4745/", "result_type": "Visualization", "release_date": "2020-03-03T11:00:00-05:00", "title": "Landsat with Sentinel - Global Coverage", "description": "This visualization depicts the orbits and data swaths of the Landsat 8, Landsat 9, Sentinel 2a, and Sentinel 2b satellites. The satellites appear one at a time with their respective data swaths. As time progresses throughout the visualization, the satellites ‘paint’ the globe with imagery to show how the four spacecraft work together to build a complete picture of the Earth. || landsat_w_sentinel_v2_ls8ls9sAsB_fade_08_60fps_4k_3240_print.jpg (1024x576) [55.5 KB] || landsat_w_sentinel_v2_ls8ls9sAsB_fade_08_60fps_4k_3240_searchweb.png (320x180) [62.5 KB] || landsat_w_sentinel_v2_ls8ls9sAsB_fade_08_60fps_4k_3240_thm.png (80x40) [4.5 KB] || landsat_w_sentinel_ls8ls9sAsB_fade_1080p60.mp4 (1920x1080) [29.1 MB] || landsat_w_sentinel_ls8ls9sAsB_fade_1080p60.webm (1920x1080) [8.1 MB] || landsat_w_sentinel_v2_ls8ls9sAsB_fade_08_60fps_4k (3840x2160) [512.0 KB] || landsat_w_sentinel_ls8ls9sAsB_fade_2160p30.mp4 (3840x2160) [82.6 MB] || ", "hits": 186 }, { "id": 4783, "url": "https://svs.gsfc.nasa.gov/4783/", "result_type": "Visualization", "release_date": "2020-02-27T00:00:00-05:00", "title": "Precipitation Anomaly and Rift Valley fever (RVF) outbreaks in South Africa: 2008-2011", "description": "This visualization with corresponding data dashboard shows the relationship between precipitation anomalies and outbreaks of Rift Valley fever (RVF) during 2008 and 2011 in the South Africa region. The sequence starts in 2007 looking at the entire continent of Africa and zooms in the region of South Africa to take a closer look at the patterns between ENSO events (El Niño and La Niña), above normal precipitation over land (blue) and RVF outbreak locations (orange pins). || PrecipRVF_SAfrica_Composite_3840x2160_3422_print.jpg (1024x576) [97.8 KB] || PrecipRVF_SAfrica_Composite_3840x2160_3422_searchweb.png (320x180) [57.6 KB] || PrecipRVF_SAfrica_Composite_3840x2160_3422_thm.png (80x40) [5.2 KB] || PrecipRVF_SAfrica_Composite_1920x1080p30.mp4 (1920x1080) [31.5 MB] || Composite (3840x2160) [0 Item(s)] || Composite (3840x2160) [0 Item(s)] || PrecipRVF_SAfrica_Composite_3840x2160_p30.mp4 (3840x2160) [68.2 MB] || PrecipRVF_SAfrica_Composite_3840x2160_3422.tif (3840x2160) [4.0 MB] || PrecipRVF_SAfrica_Composite_3840x2160_p30.webm (3840x2160) [14.1 MB] || ", "hits": 27 }, { "id": 4724, "url": "https://svs.gsfc.nasa.gov/4724/", "result_type": "Visualization", "release_date": "2020-02-21T00:00:00-05:00", "title": "Vegetation index anomalies and Rift Valley fever (RVF) outbreaks in Africa and Middle East during 2000-2018", "description": "Data visualization featuring vegetation index anomalies over Africa and Middle East and locations of Rift Valley Fever (RVF) outbreaks (orange pins) during the period of 2000-2018. Frames are provided in 4K resolution. || Africa_NDVIRVF_2000_2018_3840x2160_2430_print.jpg (1024x576) [78.8 KB] || Africa_NDVIRVF_2000_2018_3840x2160_2430_searchweb.png (320x180) [48.8 KB] || Africa_NDVIRVF_2000_2018_3840x2160_2430_thm.png (80x40) [4.4 KB] || Africa_NDVIRVFComposite_2000_2018_3840x2160_1080p30.mp4 (1920x1080) [88.7 MB] || Africa_NDVIRVFComposite_2000_2018_3840x2160_1080p30.webm (1920x1080) [25.5 MB] || Africa_NDVIRVF_2000_2018_Composite (3840x2160) [0 Item(s)] || Africa_NDVIRVF_2000_2018_3840x2160_2430.tif (3840x2160) [6.0 MB] || Africa_NDVIRVFComposite_2000_2018_3840x2160_p30.mp4 (3840x2160) [283.2 MB] || ", "hits": 35 }, { "id": 4747, "url": "https://svs.gsfc.nasa.gov/4747/", "result_type": "Visualization", "release_date": "2020-02-21T00:00:00-05:00", "title": "Vegetation index anomalies and Rift Valley fever (RVF) outbreaks in South Africa during 2009-2011", "description": "This visualization shows the relationship between vegetation index anomalies (Normalized Difference Vegetation Index - NDVI) data and outbreak locations of Rift Valley fever (RVf) during 2008 and 2011. The sequence starts in 2007 looking at the entire continent of Africa and zooms in the region of South Africa slowly to take a closer look at the above normal vegetation (green) and RVF outbreak locations (orange pins). Frames are provided in 4K resolution. || SAfrica_NDVIRVFwDates_3840x2160_1263_print.jpg (1024x576) [86.2 KB] || SAfrica_NDVIRVFwDates_3840x2160_1263_searchweb.png (320x180) [56.0 KB] || SAfrica_NDVIRVFwDates_3840x2160_1263_thm.png (80x40) [4.5 KB] || SAfrica_NDVIRVFComposite_1080p30.mp4 (1920x1080) [31.6 MB] || SAfrica_NDVIRVFComposite_1080p30.webm (1920x1080) [7.0 MB] || Composite (3840x2160) [0 Item(s)] || SAfrica_NDVIRVFwDates_3840x2160_1263.tif (3840x2160) [7.6 MB] || SAfrica_NDVIRVFComposite_3840x2160_p30.mp4 (3840x2160) [96.4 MB] || ", "hits": 32 }, { "id": 4784, "url": "https://svs.gsfc.nasa.gov/4784/", "result_type": "Visualization", "release_date": "2020-02-21T00:00:00-05:00", "title": "ENSO Teleconnections and Rift Valley fever (RVF) Outbreaks", "description": "During the 2008-2011 period, ENSO events brought changes to weather conditions across the globe that triggered infectious disease outbreaks, such as mosquito-borne Rift Valley fever (RVF) in South Africa. This visualization with corresponding data dashboard shows how Sea Surface Temperature (SST) anomalies in the equatorial Pacific Ocean (left) gave rise to Precipitation (center) and Vegetation (right) Index Anomalies in South Africa. During La Niña events, Southern Africa receives persistent and above normal rainfall, which floods habitats of RVF mosquito vectors triggering hatching of RVF virus infected eggs. The above-normal rainfall is followed by an increase in vegetation creating appropriate habitats for the mosquito vectors setting the stage for RVF outbreak activity, which in simple terms means an uptick in mosquito populations that cause infections of domestic livestock and human populations with the RVF virus. However, in rare cases there is a departure from this canonical response, as we can observe in 2009-2010, when a mild El Niño event resulted in above normal vegetaton and a large RVF outbreak in South Africa. || ENSO_TeleconnectionsRVF_2008_2011_3840x2160_2960_print.jpg (1024x576) [107.8 KB] || ENSO_TeleconnectionsRVF_2008_2011_3840x2160_3525_searchweb.png (320x180) [63.0 KB] || ENSO_TeleconnectionsRVF_2008_2011_3840x2160_3525_thm.png (80x40) [6.5 KB] || ENSO_Teleconnections (1920x1080) [0 Item(s)] || SST_Precip_NDVI_Dashboard_2008_2011_1920x1080_p30.mp4 (1920x1080) [22.7 MB] || ENSO_Teleconnections (3840x2160) [0 Item(s)] || ENSO_Teleconnections (3840x2160) [0 Item(s)] || ENSO_TeleconnectionsRVF_2008_2011_3840x2160_p30.mp4 (3840x2160) [56.0 MB] || ENSO_TeleconnectionsRVF_2008_2011_3840x2160_p30.webm (3840x2160) [10.2 MB] || ENSO_TeleconnectionsRVF_2008_2011_3840x2160_2960.tif (3840x2160) [3.4 MB] || ENSO_TeleconnectionsRVF_2008_2011_3840x2160_3525.tif (3840x2160) [3.4 MB] || ", "hits": 33 }, { "id": 4785, "url": "https://svs.gsfc.nasa.gov/4785/", "result_type": "Visualization", "release_date": "2020-01-09T00:00:00-05:00", "title": "Sea Surface Temperature Anomalies and Patterns of Global Disease Outbreaks: 2009-2018 (4K version)", "description": "This webpage provides the 4K version of: Sea Surface Temperature anomalies and patterns of Global Disease Outbreaks: 2009-2018 (updated), released on January 6, 2020.Content has been created for 4K display systems that can handle finer resolution and details. It is recommended to use content from this version for HD (1920x1080) and lower resolutions. || ", "hits": 78 }, { "id": 4781, "url": "https://svs.gsfc.nasa.gov/4781/", "result_type": "Visualization", "release_date": "2020-01-06T00:00:00-05:00", "title": "Sea Surface Temperature anomalies and patterns of Global Disease Outbreaks: 2009-2018 (updated)", "description": "This visualization shows the variability in global sea surface temperature anomalies, the associated ENSO index timeline and locations of infectious disease outbreaks over the global land surface. || CompositeWLabel_2009_2018_1920x108060fps_1705_print.jpg (1024x576) [135.9 KB] || CompositeWLabel_2009_2018_1920x108060fps_1705_searchweb.png (320x180) [82.6 KB] || CompositeWLabel_2009_2018_1920x108060fps_1705_thm.png (80x40) [7.1 KB] || Composite_StrongElNino (1920x1080) [0 Item(s)] || Composite_StrongElNino (1920x1080) [0 Item(s)] || CompositeWLabel_2009_2018_1920x1080_p30.mp4 (1920x1080) [22.1 MB] || CompositeWLabel_2009_2018_1920x108060fps_1705.tif (1920x1080) [1.3 MB] || CompositeWLabel_2009_2018_1920x1080_p30.webm (1920x1080) [4.6 MB] || CompositeWLabel_2009_2018_1920x1080_p30.mp4.hwshow [205 bytes] || ", "hits": 91 }, { "id": 4765, "url": "https://svs.gsfc.nasa.gov/4765/", "result_type": "Visualization", "release_date": "2019-12-10T00:00:00-05:00", "title": "Sea Surface Temperature anomalies and patterns of Global Disease Outbreaks: 2009-2018", "description": "El Niño is an irregularly recurring climate pattern characterized by warmer than usual ocean temperatures in the equatorial Pacific, which creates a ripple effect of anticipated weather changes in far-spread regions. This visualization captures monthly Sea Surface Temperature (SST) anomalies around the world from 2009-2018, along with locations of global disease outbreaks and a corresponding timeline showcasing the Niño 3.4 Index. The Niño 3.4 Index represents average equatorial sea surface temperatures in the Pacific Ocean from about the International Date Line to the coast of South America. Highlighted in the timeline are the above average El Niño years, in which sea surface temperature anomalies peaked during 2015-2016. || SSTENSO_Diseases_Comp_2009_2018_1920x1080_0769_print.jpg (1024x576) [130.6 KB] || SSTENSO_Diseases_Comp_2009_2018_1920x1080_0769_searchweb.png (320x180) [79.7 KB] || SSTENSO_Diseases_Comp_2009_2018_1920x1080_0769_thm.png (80x40) [7.0 KB] || Composite (1920x1080) [0 Item(s)] || Composite (1920x1080) [0 Item(s)] || SSTENSO_Diseases_Comp_2009_2018_1920x1080_p30.mp4 (1920x1080) [23.0 MB] || SSTENSO_Diseases_Comp_2009_2018_1920x1080_0769.tif (1920x1080) [1.3 MB] || SSTENSO_Diseases_Comp_2009_2018_1920x1080_p30.webm (1920x1080) [4.7 MB] || SSTENSO_Diseases_Comp_2009_2018_1920x1080_p30.mp4.hwshow [211 bytes] || ", "hits": 108 }, { "id": 40388, "url": "https://svs.gsfc.nasa.gov/gallery/nasaearth-science/", "result_type": "Gallery", "release_date": "2019-09-13T10:53:37-04:00", "title": "NASA Earth Science", "description": "NASA’s Earth Science Division (ESD) missions help us to understand our planet’s interconnected systems, from a global scale down to minute processes. Working in concert with a satellite network of international partners, ESD can measure precipitation around the world, and it can employ its own constellation of small satellites to look into the eye of a hurricane. ESD technology can track dust storms across continents and mosquito habitats across cities.\n\nFor more information:\nhttps://science.nasa.gov/earth-science", "hits": 209 }, { "id": 31046, "url": "https://svs.gsfc.nasa.gov/31046/", "result_type": "Hyperwall Visual", "release_date": "2019-07-15T00:00:00-04:00", "title": "Soil Moisture, Salinity and Precipitation", "description": "Global maps shown the relationship between precipitation, soil moisture, and salinity. || salinity_soilm_precip_squashed_2019-03-24_print.jpg (1024x576) [168.4 KB] || salinity_soilm_precip_squashed_2019-03-24_searchweb.png (320x180) [81.6 KB] || salinity_soilm_precip_squashed_2019-03-24_thm.png (80x40) [6.5 KB] || salinity_soilm_precip_squashed_1080p.webm (1920x1080) [9.3 MB] || salinity_soilm_precip_squashed_1080p.mp4 (1920x1080) [127.5 MB] || salinity_soilm_precip_squashed_2019-03-24.tif (3840x2160) [7.7 MB] || salinity_soilm_precip (3840x2160) [0 Item(s)] || salinity_soilm_precip_squashed_2160p.mp4 (3840x2160) [388.4 MB] || salinity_soilm_precip_squashed_2160p.hwshow [106 bytes] || salinity_soilm_precip_squashed_1080p.hwshow [106 bytes] || ", "hits": 50 }, { "id": 13254, "url": "https://svs.gsfc.nasa.gov/13254/", "result_type": "Produced Video", "release_date": "2019-07-09T15:00:00-04:00", "title": "Connect the Drops with NASA Data", "description": "Complete transcript available.Wathc this video on the NASA Goddard YouTube channel. || Modeling_freshwater_updated_Final.00010_print.jpg (1024x576) [153.0 KB] || Modeling_freshwater_updated_Final.00010_searchweb.png (320x180) [114.2 KB] || Modeling_freshwater_updated_Final.00010_web.png (320x180) [114.2 KB] || Modeling_freshwater_updated_Final.00010_thm.png (80x40) [7.6 KB] || Modeling_freshwater_updated_Final.mov (1920x1280) [7.9 GB] || Modeling_freshwater_updated_Final.mp4 (1920x1080) [371.0 MB] || Modeling_freshwater_updated_Final.webm (1920x1280) [45.5 MB] || Modeling_freshwater_updated_Final.en_US.srt [4.6 KB] || Modeling_freshwater_updated_Final.en_US.vtt [4.6 KB] || ", "hits": 18 }, { "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": 49 }, { "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": 25 }, { "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": 81 }, { "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": 62 }, { "id": 31033, "url": "https://svs.gsfc.nasa.gov/31033/", "result_type": "Hyperwall Visual", "release_date": "2019-04-22T00:00:00-04:00", "title": "Australia's Disappearing Lakes", "description": "Landsat imagery from 2017, 2018, and 2019 shows water level changes in Lake Menindee || lake_menindee_2019_print.jpg (1024x576) [195.6 KB] || lake_menindee_2019_searchweb.png (320x180) [114.1 KB] || lake_menindee_2019_thm.png (80x40) [7.1 KB] || lake_menindee_1080p.mp4 (1920x1080) [4.4 MB] || lake_menindee_720p.mp4 (1280x720) [2.0 MB] || lake_menindee_720p.webm (1280x720) [564.9 KB] || lake_menindee_2160p.mp4 (3840x2160) [17.4 MB] || lake_menindee_2019.tif (3840x2160) [23.7 MB] || lake_menindee.hwshow [81 bytes] || lake_menindee_1080p.hwshow [81 bytes] || ", "hits": 50 }, { "id": 4693, "url": "https://svs.gsfc.nasa.gov/4693/", "result_type": "Visualization", "release_date": "2019-02-28T09:00:00-05:00", "title": "Precipitation Anomaly and Dengue Outbreaks in South East Asia: 2015-2016", "description": "The 2015-2016 El Niño event brought changes to weather conditions across the globe that triggered regional disease outbreaks, including mosquito-borne dengue fever in Southeast Asia. This visualization with corresponding timeplot graph reveals the relationship between precipitation anomaly in Southeast Asia and dengue outbreaks. Drier than normal habitats drew mosquitoes into populated, urban areas containing the open water needed for laying eggs. As the air warmed, mosquitoes also grew hungrier and reached sexual maturity more quickly, resulting in an increase in mosquito bites. || SEAsia_PrecipDengueComposite_1920x1080_1211_print.jpg (1024x576) [75.8 KB] || SEAsia_PrecipDengueComposite_1920x1080_1211_searchweb.png (320x180) [52.9 KB] || SEAsia_PrecipDengueComposite_1920x1080_1211_thm.png (80x40) [5.4 KB] || SEAsia_PrecipDengueComposite_1920x1080_p30.webm (1920x1080) [6.4 MB] || SEAsia_PrecipDengue_Composite (1920x1080) [0 Item(s)] || SEAsia_PrecipDengueComposite_1920x1080_p30.mp4 (1920x1080) [14.8 MB] || SEAsia_PrecipDengueComposite_1920x1080_1211.tif (1920x1080) [1.5 MB] || SEAsia_PrecipDengueComposite (3840x2160) [0 Item(s)] || ", "hits": 30 }, { "id": 4695, "url": "https://svs.gsfc.nasa.gov/4695/", "result_type": "Visualization", "release_date": "2019-02-28T09:00:00-05:00", "title": "Niño 3.4 Index and Sea Surface Temperature Anomaly Timeline: 1982-2017", "description": "This visualization captures Sea Surface Temperature (SST) anomalies around the world from 1982 to 2017, along with a corresponding timeplot graph focusing on the Niño 3.4 SST Index region (5N-5S, 120W-170W), which represents average equatorial sea surface temperatures in the Pacific Ocean from about the International Date Line to the coast of South America. Highlighted in the timeline are the El Niño years, in which sea surface temperature anomalies peaked: 1982-1983, 1997-1998, and 2015-2016. || NINO3.4SST_FlatMapComposite_1920x1080_00932_print.jpg (1024x576) [104.9 KB] || NINO3.4SST_FlatMapComposite_1920x1080_00932_searchweb.png (320x180) [72.1 KB] || NINO3.4SST_FlatMapComposite_1920x1080_00932_thm.png (80x40) [6.8 KB] || SST_Nino3.4Index_1982_2017_Composite (1920x1080) [0 Item(s)] || NINO3.4SST_FlatMapComposite_1920x1080_p30.mp4 (1920x1080) [57.2 MB] || NINO3.4SST_FlatMapComposite_1920x1080_00932.tif (1920x1080) [1.4 MB] || NINO3.4SST_FlatMapComposite_1920x1080_p30.webm (1920x1080) [9.3 MB] || SSTNino3.4Index_1982_2017_Composite (3840x2160) [0 Item(s)] || ", "hits": 353 }, { "id": 4696, "url": "https://svs.gsfc.nasa.gov/4696/", "result_type": "Visualization", "release_date": "2019-02-28T09:00:00-05:00", "title": "Land Surface Temperature Anomaly and Dengue Outbreaks in South East Asia Region: 2015-2016", "description": "The 2015-2016 El Niño event brought changes to weather conditions across the globe that triggered regional disease outbreaks, including mosquito-borne dengue fever in Southeast Asia. This visualization with corresponding timeplot graph reveals the relationship between land surface temperature anomaly in Southeast Asia and dengue outbreaks. Higher than normal land surface temperatures results in an increase of dengue reported locations. || SEAsia_LSTDiseases_1920x1080_1730_print.jpg (1024x576) [85.1 KB] || SEAsia_LSTDiseases_1920x1080_1730_searchweb.png (320x180) [54.4 KB] || SEAsia_LSTDiseases_1920x1080_1730_thm.png (80x40) [5.3 KB] || SEAsia_LSTDengue_Composite (1920x1080) [0 Item(s)] || SEAsia_LSTDiseases_1920x1080_p30.mp4 (1920x1080) [33.8 MB] || SEAsia_LSTDiseases_1920x1080_1730.tif (1920x1080) [1.7 MB] || SEAsia_LSTDiseases_1920x1080_p30.webm (1920x1080) [6.2 MB] || SEAsia_LSTDengue_Composite (3840x2160) [0 Item(s)] || ", "hits": 26 }, { "id": 4697, "url": "https://svs.gsfc.nasa.gov/4697/", "result_type": "Visualization", "release_date": "2019-02-28T09:00:00-05:00", "title": "ENSO teleconnections in South East Asia for the period of 2015-2016", "description": "The 2015-2016 strong El Niño event brought changes to weather conditions across the globe that triggered regional infectious disease outbreaks, including mosquito-borne dengue fever in South East Asia. This visualization with corresponding multi-plot graph shows how Sea Surface Temperature anomalies in the equatorial Pacific Ocean (left), resulted in anomalous drought conditions (center) and increase in land surface temperatures (right) in South East Asia. During the 2015-2016 El Niño event, the South East Asia region received below than normal precipitation resulting in drier and warner than normal conditions, which increased the populations of mosquito vectors in urban areas, where there are open water storage containers providing ideal habitats for mosquito production. In addition, the higher than normal temperature on land shortens the maturation time of larvae to adult mosquitos and induces frequent blood feeding/biting of humans by mosquito vectors resulting in the amplification of dengue disease outbreaks over the South East Asia region. || SST_LST_Precip_2014_2016_Comp_print.jpg (1024x576) [82.9 KB] || SST_LST_Precip_2014_2016_Comp_searchweb.png (320x180) [51.5 KB] || SST_LST_Precip_2014_2016_Comp_thm.png (80x40) [6.0 KB] || SST_Precip_LST_Plot_Composite (1920x1080) [0 Item(s)] || SST_LST_Precip_2014_2016_Comp_1080p30.mp4 (1920x1080) [9.7 MB] || SST_LST_Precip_2014_2016_Comp.tif (1920x1080) [1.1 MB] || SST_LST_Precip_2014_2016_Comp_1080p30.webm (1920x1080) [4.2 MB] || TeleconnectionsSEAsia (3840x2160) [0 Item(s)] || SST_LST_Precip_2014_2016_Comp_1080p30.mp4.hwshow [203 bytes] || ", "hits": 79 }, { "id": 12398, "url": "https://svs.gsfc.nasa.gov/12398/", "result_type": "Produced Video", "release_date": "2019-02-21T05:00:00-05:00", "title": "A 3D Forest Map", "description": "Lasers, droughts, and a 3D view: NASA maps the Amazon to examine tree mortality. || logged_v84_still.0561_1024x576.jpg (1024x576) [196.1 KB] || logged_v84_still.0561_print.jpg (1024x576) [215.8 KB] || logged_v84_still.0561_searchweb.png (320x180) [87.1 KB] || logged_v84_still.0561_thm.png (80x40) [5.6 KB] || logged_v84_still.0561.tif (3840x2160) [12.9 MB] || ", "hits": 221 }, { "id": 4464, "url": "https://svs.gsfc.nasa.gov/4464/", "result_type": "Visualization", "release_date": "2018-12-14T00:00:00-05:00", "title": "Using Tree Rings to Study Human Influence on Hydroclimate", "description": "This visualization displays a global drought atlas dating back to 1400, created using data from tree rings. The data is displayed on a flat rectangular map projection with a simple overlay depicting the differences in tree ring sizes for dry and wet years. In the second half of the visualization, a ‘fingerprint’ thumbnail is introduced, which is an indicator for human influences on climate change. A signal-to-noise ratio graph is depicted comparing the fingerprint to both tree ring drought atlas data and observational meteorological data (CRU and Dai) || hydroclimate_comp5_4k_1210_print.jpg (1024x576) [62.1 KB] || hydroclimate_comp5_4k_1210_searchweb.png (320x180) [41.3 KB] || hydroclimate_comp5_4k_1210_thm.png (80x40) [4.9 KB] || hydroclimate_comp5_1080p30.mp4 (1920x1080) [9.4 MB] || TreeRing_hydroclimate_comp (3840x2160) [0 Item(s)] || hydroclimate_comp5_4k_2160p30.mp4 (3840x2160) [25.6 MB] || hydroclimate_comp5_4k_2160p30.webm (3840x2160) [7.6 MB] || hydroclimate_comp5_1080p30.mp4.hwshow [192 bytes] || ", "hits": 48 }, { "id": 12950, "url": "https://svs.gsfc.nasa.gov/12950/", "result_type": "Produced Video", "release_date": "2018-08-13T12:00:00-04:00", "title": "A Map of Freshwater", "description": "Fifteen years of satellite data show changes in freshwater around the world. || whole_earth.1400_1024x576.jpg (1024x576) [104.4 KB] || whole_earth.1400.jpg (5760x3240) [2.2 MB] || whole_earth.1400_1024x576_thm.png (80x40) [5.8 KB] || whole_earth.1400_1024x576_searchweb.png (320x180) [61.0 KB] || ", "hits": 705 }, { "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. || ", "hits": 88 }, { "id": 12982, "url": "https://svs.gsfc.nasa.gov/12982/", "result_type": "Produced Video", "release_date": "2018-06-12T11:00:00-04:00", "title": "Amazon Canopy Comes to Life through Laser Data", "description": "Flying over the Brazilian Amazon with an instrument firing 300,000 laser pulses per second, NASA scientists have made the first 3D measurements of forest canopies in the region. With this research they hope to shed light on the effects of prolonged drought on forest ecosystems and to provide a potential preview of stresses on rainforests in a warming world.Complete transcript available. || Amazon_lidar_2018_final.00150_print.jpg (1024x576) [36.8 KB] || Amazon_lidar_2018_final.00150_searchweb.png (180x320) [21.4 KB] || Amazon_lidar_2018_final.00150_web.png (320x180) [21.4 KB] || Amazon_lidar_2018_final.00150_thm.png (80x40) [2.0 KB] || Amazon_lidar_2018_prores.mov (1920x1280) [4.5 GB] || Amazon_lidar_2018_final.mp4 (1920x1080) [705.9 MB] || Amazon_lidar_2018_final.webm (1920x1080) [17.2 MB] || 12982.AmazonLidar2018.cc.en_US.vtt [2.5 KB] || 12982.AmazonLidar2018.cc.en_US.srt [2.4 KB] || ", "hits": 68 }, { "id": 12876, "url": "https://svs.gsfc.nasa.gov/12876/", "result_type": "Produced Video", "release_date": "2018-05-16T13:00:00-04:00", "title": "For 15 Years, GRACE Tracked Freshwater Movements Around the World", "description": "NASA scientists used GRACE data to identify regional trends of freshwater movement, and combined that information with data from other satellites, climate models and precipitation measurements to determine the causes of major regional trends in freshwater storage. || ", "hits": 53 }, { "id": 40348, "url": "https://svs.gsfc.nasa.gov/gallery/esddatafor-societal-benefits/", "result_type": "Gallery", "release_date": "2018-04-24T00:00:00-04:00", "title": "ESD data for Societal Benefit", "description": "No description available.", "hits": 233 }, { "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": 15 }, { "id": 30916, "url": "https://svs.gsfc.nasa.gov/30916/", "result_type": "Hyperwall Visual", "release_date": "2017-12-01T00:00:00-05:00", "title": "Intraseasonal Variability in Earth’s Atmosphere and Ocean: The MISO and MJO", "description": "The Monsoon Intraseasonal Oscillation (MISO) is a process that occurs several times each year from May-October in the atmosphere over the tropical Indian Ocean, the western tropical Pacific Ocean, and the surrounding land areas. MISO events alternate between periods of wetter-than-average and drier-than-average conditions, a cycle that lasts longer than typical weather systems do (1-2 weeks), but shorter than a season (90 days). The way that the MISO affects rainfall and drought patterns is important to the economies and livelihoods of the people that live in South and Southeast Asia.This animation shows the behavior of the MISO based on the average of many MISO events that occurred over a multi-year time period. The MISO events were visible with NASA and NOAA satellite sensors that measure outgoing longwave radiation (OLR), which is closely related to convection and its associated rainfall, as well as surface winds. Green colors show regions of higher-than-average rainfall, while brown colors show regions of lower-than-average rainfall. The day and phase counters show the progression of consecutive days and phases (positions) in the average 48-day cycle of the MISO. || West_1_MISO_OLR_Wind.00001_print.jpg (1024x576) [106.1 KB] || West_1_MISO_OLR_Wind.00001_searchweb.png (320x180) [46.3 KB] || West_1_MISO_OLR_Wind.00001_thm.png (80x40) [4.4 KB] || West_1_MISO_OLR_Wind.mov (1280x720) [87.0 MB] || West_1_MISO_OLR_Wind.webm (1280x720) [2.1 MB] || West_1_MISO_OLR_Wind_1080.mov (1440x1080) [117.5 MB] || West_1_MISO_OLR_Wind_4k.mov (3840x2160) [568.6 MB] || ", "hits": 125 }, { "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": 25 }, { "id": 4588, "url": "https://svs.gsfc.nasa.gov/4588/", "result_type": "Visualization", "release_date": "2017-10-06T00:00:00-04:00", "title": "Improvements in Groundwater and Soil Moisture Measurements Derived from the GRACE Mission", "description": "From space, we track water in the ground – whether it is a centimeter, a meter, or a kilometer below the surface. Around the world, NASA's GRACE satellites have provided unprecedented views of water storage in natural aquifers. These underground reserves are so massive that they affect Earth's gravity field. When their mass changes, the satellites detect the change in gravity. Droughts can affect deep groundwater stores when water users pump hundreds of billions of gallons out of their aquifers to compensate for the lack of rainfall – and GRACE can detect this change.This view from space has revolutionized our understanding of water stores beneath the surface. But scientists at NASA Goddard can combine GRACE data with sophisticated computer models to give decision makers in the continental US an otherwise unseen view, helping to trigger critical water conservation measures.These computer models help us decompose the GRACE signal to identify changes in both the shallow groundwater and the root zone where crops are actually drawing moisture to survive. Stations on the ground provide a connect-the-dots picture. The vantage point from space – combined with modeling – provides a comprehensive view of how the drought evolved over time and ultimately ended.This constantly changing snapshot of shallow groundwater conditions is now used every week in the US Drought Monitor, the benchmark relied upon by decision makers at the local, state, and federal level.This visualization shows the global Terrestrial Water Storage Anomaly from GRACE data, and then highlights the contiguous United States to show groundwater anomaly. This more detailed view is made by assimilating GRACEwater storage data into a supercomputer model of the land surface. The visualization dives into California, showing further detail by separating out the surface soil moisture (top 2 centimeters) and the root zone soil mositure (top 100 centimeters). || ", "hits": 48 }, { "id": 30073, "url": "https://svs.gsfc.nasa.gov/30073/", "result_type": "Hyperwall Visual", "release_date": "2017-09-01T12:00:00-04:00", "title": "Water Level in Lake Powell", "description": "Among the dams on the Colorado River is the Glen Canyon Dam, which creates Lake Powell. This series of natural-color Landsat images shows the dramatic drop in Lake Powell’s water level between 1999 and 2025 caused by prolonged drought and water withdrawals.", "hits": 105 }, { "id": 40323, "url": "https://svs.gsfc.nasa.gov/gallery/applied-science/", "result_type": "Gallery", "release_date": "2017-03-30T00:00:00-04:00", "title": "Applied Science", "description": "Discovering innovative and practical uses of Earth observations\n\nappliedsciences.nasa.gov", "hits": 73 }, { "id": 30862, "url": "https://svs.gsfc.nasa.gov/30862/", "result_type": "Hyperwall Visual", "release_date": "2017-03-07T00:00:00-05:00", "title": "GRACE measures California water", "description": "Water storage from 2002-2017 as measured by gravity anomalies. || grace_ca_water_black_201701_print.jpg (1024x574) [119.7 KB] || grace_ca_water_black_201701_searchweb.png (320x180) [59.5 KB] || grace_ca_water_black_201701_thm.png (80x40) [4.9 KB] || grace_ca_water_black_1080p.mp4 (1920x1080) [7.3 MB] || grace_ca_water_black_720p.mp4 (1280x720) [3.6 MB] || grace_ca_water_black_720p.webm (1280x720) [5.9 MB] || grace_ca_water_black_201701.tif (4104x2304) [4.5 MB] || grace_ca_water_black_2304p.mp4 (4096x2304) [25.9 MB] || grace_ca_water_black_360p.mp4 (640x360) [1.1 MB] || ", "hits": 78 }, { "id": 12471, "url": "https://svs.gsfc.nasa.gov/12471/", "result_type": "Produced Video", "release_date": "2017-02-27T12:00:00-05:00", "title": "Torrential Atmospheric Rivers", "description": "After four years of drought, atmospheric rivers deliver rain to California. || atriver_pacific.00780.png (1920x1080) [2.0 MB] || atriver_pacific.00780_1024x576.jpg (1024x576) [110.0 KB] || atriver_pacific.00780_print.jpg (1024x576) [117.5 KB] || atriver_pacific.00780_thm.png (80x40) [6.6 KB] || atriver_pacific.00780_print_searchweb.png (320x180) [84.9 KB] || ", "hits": 30 }, { "id": 4555, "url": "https://svs.gsfc.nasa.gov/4555/", "result_type": "Visualization", "release_date": "2017-02-23T00:00:00-05:00", "title": "California Gets Slammed Again", "description": "California has been experiencing a drought since 2012, but the first months of 2017 have brought some relief in the form of torrential rains. These rains have been brought to California in a series of atmospheric rivers, long narrow channels of water vapor in the atmosphere that reach from tropical latitudes to the coast of California. These channels bring rainfall to the state when they are disrupted by atmospheric conditions over California's eastern mountains. This visualization of atmospheric water vapor and precipitation during the first three weeks of February clearly show the successive atmospheric rivers and the resulting rainfall. || ", "hits": 23 }, { "id": 12497, "url": "https://svs.gsfc.nasa.gov/12497/", "result_type": "Produced Video", "release_date": "2017-02-08T00:00:00-05:00", "title": "Snow Live Shots (Feb. 17, 2017)", "description": "B-roll for NASA interviews on Friday, February 17, 2017. || B-Roll.00001_print.jpg (1024x576) [182.9 KB] || B-Roll.00001_searchweb.png (320x180) [86.4 KB] || B-Roll.00001_web.png (320x180) [86.4 KB] || B-Roll.00001_thm.png (80x40) [6.6 KB] || B-Roll.webm (1280x720) [47.7 MB] || B-Roll.mov (1280x720) [6.2 GB] || ", "hits": 28 }, { "id": 4547, "url": "https://svs.gsfc.nasa.gov/4547/", "result_type": "Visualization", "release_date": "2017-01-23T13:00:00-05:00", "title": "Atmospheric River Slams California", "description": "This visualization combines precipitation data from the Global Precipitation Measurement (GPM) mission's Integrated Multi-satellitE Retrievals (IMERG) and water vapor data from Goddard Earth Observing System Model (GEOS) . Together, they allow scientists to study atmospheric rivers and the heavy precipitation they bring to California.This video is also available on our YouTube channel. || atriver_00380_print.jpg (1024x576) [143.5 KB] || atriver_00380_searchweb.png (320x180) [90.6 KB] || atriver_00380_thm.png (80x40) [6.9 KB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || atriver_1080p30.mp4 (1920x1080) [20.6 MB] || atriver_1080p30.webm (1920x1080) [2.4 MB] || atriver_4547.key [22.8 MB] || atriver_4547.pptx [22.5 MB] || ", "hits": 310 }, { "id": 4476, "url": "https://svs.gsfc.nasa.gov/4476/", "result_type": "Visualization", "release_date": "2016-07-28T18:00:00-04:00", "title": "Global Terrestrial Water Storage Anomaly (March 2015 - March 2016)", "description": "Animation showing Terrestrial Water Storage Anomaly (TWSA) data from March 2015 to March 2016. Shades of orange indicate areas with less ground water than normal and shades of blue are areas with more ground water than normal, which correlates to droughts and floods in these various regions. || globgrace2016.0365_print.jpg (1024x576) [154.1 KB] || globgrace2016.0365_searchweb.png (320x180) [67.2 KB] || globgrace2016.0365_thm.png (80x40) [6.2 KB] || globgrace2016_1080p30.mp4 (1920x1080) [5.8 MB] || globgrace2016_720p30.mp4 (1280x720) [3.2 MB] || dates (1920x1080) [0 Item(s)] || globgrace2016_1080p30.webm (1920x1080) [1.2 MB] || globgrace2016_2160p30.mp4 (3840x2160) [17.0 MB] || globgrace2016_360p30.mp4 (640x360) [1.1 MB] || example_composite (3840x2160) [0 Item(s)] || robinson_projection (3840x2160) [0 Item(s)] || globgrace2016_1080p30.mp4.hwshow [187 bytes] || ", "hits": 21 }, { "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": 23 }, { "id": 40302, "url": "https://svs.gsfc.nasa.gov/gallery/svsyoutube-candidates/", "result_type": "Gallery", "release_date": "2016-06-03T00:00:00-04:00", "title": "SVS YouTube Candidates", "description": "These are the proposed visualization candidates to be included in the SVS YouTube Channel.", "hits": 185 }, { "id": 12251, "url": "https://svs.gsfc.nasa.gov/12251/", "result_type": "Produced Video", "release_date": "2016-05-27T12:00:00-04:00", "title": "Ten-Year Gap in Major Hurricanes Continues", "description": "Could the first tropical storm of the Atlantic hurricane season break the 10-year “hurricane drought” record?It has been a decade since the last major hurricane, Category 3 or higher, has made landfall in the United States. This is the longest period of time for the United States to avoid a major hurricane since reliable records began in 1850. According to a NASA study, a 10-year gap comes along only every 270 years. The National Hurricane Center calls any Category 3 or more intense hurricane a “major” storm. It should be noted that hurricanes making landfall as less than Category 3 can still cause extreme damage, with heavy rains and coastal storm surges. Such was the case with Hurricane Sandy in 2012.Timothy Hall, a research scientist who studies hurricanes at NASA’s Goddard Institute for Space Studies, New York and colleague Kelly Hereid, who works for ACE Tempest Re, a reinsurance firm based in Connecticut, ran a statistical hurricane model based on a record of Atlantic tropical cyclones from 1950 to 2012 and sea surface temperature data. The researchers ran 1,000 computer simulations of the period from 1950-2012 – in effect simulating 63,000 separate Atlantic hurricane seasons. They also found that there is approximately a 40% chance that a major hurricane will make landfall in the United States every year. These visualizations show hurricane tracks from 1980 through 2015. Green tracks are storms that did not make landfall in the U.S.; yellow tracks are storms that made landfall but were not Category 3 or higher; and red tracks are Category 3 or higher hurricanes that did make landfall.Research: The frequency and duration of U.S. hurricane droughtsJournal: Geophysical Research Letters, May 5, 2015 || ", "hits": 78 }, { "id": 4443, "url": "https://svs.gsfc.nasa.gov/4443/", "result_type": "Visualization", "release_date": "2016-03-30T00:00:00-04:00", "title": "NASA-USDA-FAS Soil Moisture / IMERG", "description": "Soil Moisture / Precipitation in Australia, Absolute || australia_abs.0001_print.jpg (1024x576) [100.7 KB] || australia_abs.0001_searchweb.png (320x180) [64.4 KB] || australia_abs.0001_thm.png (80x40) [5.8 KB] || australia_abs (1920x1080) [0 Item(s)] || australia_abs_1080p30.webm (1920x1080) [14.4 MB] || australia_abs_1080p30.mp4 (1920x1080) [117.6 MB] || ", "hits": 40 }, { "id": 4428, "url": "https://svs.gsfc.nasa.gov/4428/", "result_type": "Visualization", "release_date": "2016-02-19T00:00:00-05:00", "title": "2012 Mediterranean Drought", "description": "Print resolution image showing less than normal ground water saturation throughout the Mediteranean region on January 15, 2012. This image includes the date and colorbar overlay. || grace_med_comp.3666_print.jpg (1024x576) [172.1 KB] || grace_med_comp.3666_searchweb.png (320x180) [88.0 KB] || grace_med_comp.3666_thm.png (80x40) [13.9 KB] || grace_med_comp.3666.tif (3840x2160) [74.7 MB] || ", "hits": 17 }, { "id": 4415, "url": "https://svs.gsfc.nasa.gov/4415/", "result_type": "Visualization", "release_date": "2016-01-06T00:00:00-05:00", "title": "Terrestrial Water Storage Anomaly 2002 - 2015", "description": "Animation showing Terrestrial Water Storage Anomaly (TWSA) data from 2002 to 2015. Browns indicate areas with less ground water than normal and greens are areas with more ground water than normal, which correlates to droughts and floods in these various regions.This video is also available on our YouTube channel. || grace_anom_comp_v2.4991_print.jpg (1024x576) [124.4 KB] || grace_anom_comp_v2.4991_searchweb.png (320x180) [70.7 KB] || grace_anom_comp_v2.4991_thm.png (80x40) [6.3 KB] || grace_anom_comp_v2_2x_1080p30.mp4 (1920x1080) [25.8 MB] || grace_anom_comp_v2_2x_1080p30.webm (1920x1080) [8.7 MB] || composite (1920x1080) [0 Item(s)] || robinson_projection (1920x1080) [0 Item(s)] || dates (1920x1080) [0 Item(s)] || grace_anom_comp_v2_2x_1080p30.mp4.hwshow [195 bytes] || ", "hits": 50 }, { "id": 12114, "url": "https://svs.gsfc.nasa.gov/12114/", "result_type": "Produced Video", "release_date": "2016-01-05T11:00:00-05:00", "title": "Observing El Niño", "description": "Explore how NASA will see this year’s El Niño from the vantage of space. || cf-1024.jpg (1024x576) [105.8 KB] || cf-1024_print.jpg (1024x576) [108.0 KB] || cf-1024_searchweb.png (320x180) [56.5 KB] || cf-1024_web.png (320x180) [56.5 KB] || cf-1024_thm.png (80x40) [17.9 KB] || ", "hits": 39 }, { "id": 30629, "url": "https://svs.gsfc.nasa.gov/30629/", "result_type": "Hyperwall Visual", "release_date": "2015-12-27T16:00:00-05:00", "title": "El Niño Watch 2015", "description": "Animation of Sea Surface Height Anomaly for 2015 compared to 1997 || ssha_1997vs2015_print.jpg (1024x574) [142.6 KB] || ssha_1997vs2015_searchweb.png (180x320) [71.4 KB] || ssha_1997vs2015_thm.png (80x40) [7.0 KB] || ssha_1997vs2015_720p.webm (1280x720) [2.4 MB] || ssha_1997vs2015_720p.mp4 (1280x720) [4.0 MB] || ssha_1997vs2015_1080p.mp4 (1920x1080) [5.1 MB] || ssha_1997vs2015_2304p.mp4 (4096x2304) [15.3 MB] || ssha_1997vs2015_360p.mp4 (640x360) [1.7 MB] || ssha_1997vs2015.tif (4104x2304) [4.3 MB] || ssha_1997vs2015_30629.key [7.5 MB] || ssha_1997vs2015_30629.pptx [4.9 MB] || el_nino_1997vs2015_recent_still.hwshow [230 bytes] || ", "hits": 49 }, { "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": 33 }, { "id": 30730, "url": "https://svs.gsfc.nasa.gov/30730/", "result_type": "Hyperwall Visual", "release_date": "2015-12-16T12:00:00-05:00", "title": "High-Resolution Soil Moisture Maps", "description": "These maps combine data from the twin satellites of the Gravity Recovery and Climate Experiment (GRACE) with other satellite and ground-based measurements to model the relative amount of water stored at two different levels: at plant root level and underground. The wetness, or water content, of each layer is compared to the average between 1948 and 2009. The darkest red regions represent dry conditions that should occur only 2 percent of the time (about once every 50 years). All of the maps are experimental products funded by NASA’s Applied Sciences Program and developed by scientists at NASA’s Goddard Space Flight Center and the National Drought Mitigation Center. The maps do not attempt to represent human consumption of water; but rather, they show changes in water storage related to weather, climate, and seasonal patterns. || ", "hits": 72 }, { "id": 12103, "url": "https://svs.gsfc.nasa.gov/12103/", "result_type": "Produced Video", "release_date": "2015-12-16T11:00:00-05:00", "title": "NASA On Air: NASA Tracks Atmospheric Rivers (12/16/2015)", "description": "LEAD: NASA is ready to track atmospheric rivers during this winter's El Niño.1. Atmospheric rivers are short-lived, narrow streams of wind that carry water vapor from the tropical oceans to mid-latitude land areas.2. Shown here is an atmospheric river traveling across the Pacific between October 25 and November 2, 2014. (White colors are clouds, light blues water vapor, and green to red precipitation.)TAG: Atmospheric rivers tend to intensify during El Niño events, and this year's strong El Niño is likely to bring more precipitation to California and some relief for the drought. || IPAD_DELIVERABLES_NASA_on_Air-Atmospheric_rivers-MASTER_iPad_1920x1080_print.jpg (1024x576) [65.3 KB] || IPAD_DELIVERABLES_NASA_on_Air-Atmospheric_rivers-MASTER_iPad_1920x1080_searchweb.png (320x180) [40.3 KB] || IPAD_DELIVERABLES_NASA_on_Air-Atmospheric_rivers-MASTER_iPad_1920x1080_thm.png (80x40) [3.5 KB] || WSI_WEATHER_CHANNEL_NASA_on_Air-Atmospheric_rivers-MASTER_1920x1080.mov (1920x1080) [374.3 MB] || WSI_WEATHER_CHANNEL_NASA_on_Air-Atmospheric_rivers-MASTER_1280x720.mov (1280x720) [457.9 MB] || NBC_TODAY_NASA_on_Air-Atmospheric_rivers-MASTER_NBC_Today.mov (1920x1080) [52.3 MB] || NASA_on_Air-Atmospheric_rivers-Weather_Channel.wmv (1280x720) [6.5 MB] || NASA_on_Air-Atmospheric_rivers-Accuweather.avi (1280x720) [5.5 MB] || BARON_SERVICE_NASA_on_Air-Atmospheric_rivers-MASTER_baron.mp4 (1920x1080) [21.3 MB] || WC_PRORES_422_NASA_on_Air-Atmospheric_rivers-MASTER_prores.mov (1920x1080) [361.0 MB] || IPAD_DELIVERABLES_NASA_on_Air-Atmospheric_rivers-MASTER_iPad_960x540.m4v (960x540) [25.4 MB] || IPAD_DELIVERABLES_NASA_on_Air-Atmospheric_rivers-MASTER_iPad_1280x720.m4v (1280x720) [47.0 MB] || IPAD_DELIVERABLES_NASA_on_Air-Atmospheric_rivers-MASTER_iPad_1920x1080.m4v (1920x1080) [75.1 MB] || IPAD_DELIVERABLES_NASA_on_Air-Atmospheric_rivers-MASTER_iPad_1920x1080.webm (1920x1080) [2.9 MB] || ", "hits": 17 }, { "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": 15 }, { "id": 12039, "url": "https://svs.gsfc.nasa.gov/12039/", "result_type": "Produced Video", "release_date": "2015-11-03T11:00:00-05:00", "title": "The Long Dry Spell", "description": "NASA satellites provide a new view from space of Brazil's ongoing drought. || c-1920.jpg (1920x1080) [251.6 KB] || c-1280.jpg (1280x720) [163.6 KB] || c-1024.jpg (1024x576) [115.0 KB] || c-1024_print.jpg (1024x576) [125.0 KB] || c-1024_searchweb.png (320x180) [72.7 KB] || c-1024_web.png (320x180) [72.7 KB] || c-1024_thm.png (80x40) [13.7 KB] || ", "hits": 24 }, { "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": 30 }, { "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": 45 }, { "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": 18 }, { "id": 30698, "url": "https://svs.gsfc.nasa.gov/30698/", "result_type": "Hyperwall Visual", "release_date": "2015-10-27T00:00:00-04:00", "title": "Soil Moisture and Rainfall", "description": "Soil Moisture and Ocean Salinity are compared to Rainfall || smap_and_imerg_print.jpg (1024x574) [184.6 KB] || smap_and_imerg_searchweb.png (180x320) [87.4 KB] || smap_and_imerg_thm.png (80x40) [6.9 KB] || smap_and_imerg_720p.webm (1280x720) [2.1 MB] || smap_and_imerg_1080p.mp4 (1920x1080) [20.4 MB] || smap_and_imerg_720p.mp4 (1280x720) [10.0 MB] || smap_and_imerg_2304p.mp4 (4096x2304) [62.8 MB] || smap_and_imerg.tif (4104x2304) [10.6 MB] || smap_and_imerg_30698.key [25.6 MB] || smap_and_imerg_30698.pptx [23.1 MB] || ", "hits": 32 }, { "id": 4387, "url": "https://svs.gsfc.nasa.gov/4387/", "result_type": "Visualization", "release_date": "2015-10-13T17:00:00-04:00", "title": "El Niño: Disrupting the Marine Food Web", "description": "This gallery was created for Earth Science Week 2015 and beyond. It includes a quick start guide for educators and first-hand stories (blogs) for learners of all ages by NASA visualizers, scientists and educators. We hope that your understanding and use of NASA's visualizations will only increase as your appreciation grows for the beauty of the science they portray, and the communicative power they hold. Read all the blogs and find educational resources for all ages at: the Earth Science Week 2015 page.In case you haven’t heard, El Niño is starting to make headlines this year. Often nicknamed \"the bad boy of weather,\" who is this guy?A long time ago, fishermen off the west coast of South America — one of the world's most productive fisheries — noticed that some years the fish disappeared. This was especially noticeable around Christmas time — giving it the name El Niño, which means Christ child in Spanish. Today we know why El Niño happens — but knowing when it will happen is still a challenge. Normally, winds blow from east to west along the equator, pushing surface water westward. As the water moves away from the east, nutrient-rich deeper ocean water rises to fill the void (called upwelling.) When nutrients rise into sunlight, they cause blooms of tiny plants called phytoplankton. These plants feed the entire marine food web from small fish such as sardines to bigger fish, sea birds, and marine mammals. When an El Niño develops, the normal east-to-west winds die and warm surface water from the west Pacific moves eastward. This stops the upwelling in the east. Without the supply of deeper, nutrient-rich water, less phytoplankton bloom and the fisheries collapse. From satellites in space we see how these changes impact the ocean’s color. Normally, the ocean looks more green along the equator (image below, left.) During El Niño, the ocean looks more blue and less green because there is less plant life (images below, right.) While this color change is subtle to our eyes, it means life or death for the species that depend upon plankton for food. Some animals starve (e.g. sea lions, marine iguanas, Galapagos penguins) while others move away to look for food elsewhere. || ", "hits": 41 }, { "id": 4385, "url": "https://svs.gsfc.nasa.gov/4385/", "result_type": "Visualization", "release_date": "2015-10-09T17:00:00-04:00", "title": "Zooming In: Remote Sensing the Earth", "description": "This gallery was created for Earth Science Week 2015 and beyond. It includes a quick start guide for educators and first-hand stories (blogs) for learners of all ages by NASA visualizers, scientists and educators. We hope that your understanding and use of NASA's visualizations will only increase as your appreciation grows for the beauty of the science they portray, and the communicative power they hold. Read all the blogs and find educational resources for all ages at: the Earth Science Week 2015 page.Observing something without coming in contact with it is called remote sensing. Think about that. Every living animal uses remote sensing. A spider keeps its eight eyes fixed on a fly, watches its movements. A dolphin sends out sounds to locate a school of fish. A tiger uses its Jacobson's organ to smell a mate. Humans listen to cicadas' loud noises coming from the trees. These are all examples of remote sensing. And, more than likely, all of these animals are analyzing the data they are receiving. I used these particular examples to show that there are different methods of receiving this data. The spider uses sight. The dolphin uses echolocation. The tiger uses smell. The human uses sound. I remember the first time I flew in an airplane. I was about 12 years old and was lucky enough to get a window seat. It was amazing to look down and try to identify things on the ground. I didn't realize it at the time but I was remotely sensing Earth! I could almost imagine how a bird must see the land when it's flying high in the sky. Since I cannot fly all the time like birds do, I can use another tool — Google Earth — to get the same experience. I can look at my computer screen, and identify the differences between urban and natural areas and between fields and forests. NASA creates the most amazing remotely-sensed images of space and the planets. I have always been fascinated by space and space exploration. In 1969, as I listened on my radio to the broadcast of the moon landing, I wondered what it would be like to walk on the moon and to look further out into space. Now, space telescopes, such as Hubble, provide scientists with hundreds of thousands of images for understanding our universe. Images of outer space are fascinating, but I am most excited about images of Earth. NASA and the U.S. Geological Survey have created an amazing collection of satellite images, called Earth as Art. Sometimes these almost look like art from a museum. These images are not only pleasing to look at; they can also tell us valuable information. || ", "hits": 67 }, { "id": 11919, "url": "https://svs.gsfc.nasa.gov/11919/", "result_type": "Produced Video", "release_date": "2015-10-06T11:00:00-04:00", "title": "The Changing Shape Of Farming", "description": "Satellite images taken over the last half-century tell the story of America's evolving agricultural landscape. || c-1920.jpg (1920x1080) [1.4 MB] || c-1280.jpg (1280x720) [863.3 KB] || c-1024.jpg (1024x576) [615.4 KB] || c-1024_print.jpg (1024x576) [642.1 KB] || c-1024_searchweb.png (320x180) [187.4 KB] || c-1024_web.png (320x180) [187.4 KB] || c-1024_thm.png (80x40) [38.6 KB] || ", "hits": 56 } ] }