{ "count": 97, "next": null, "previous": null, "results": [ { "id": 31367, "url": "https://svs.gsfc.nasa.gov/31367/", "result_type": "Hyperwall Visual", "release_date": "2026-02-27T12:00:00-05:00", "title": "NISAR Satellite and Science", "description": "Animation showing NISAR satellite insruments and scientific research.", "hits": 125 }, { "id": 5569, "url": "https://svs.gsfc.nasa.gov/5569/", "result_type": "Visualization", "release_date": "2025-07-11T09:30:59-04:00", "title": "Texas Hill Country Hit by Powerful Floods", "description": "GPM passed over the Texas storm on July 4th, 11am CT.", "hits": 88 }, { "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": 550 }, { "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": 36 }, { "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": 421 }, { "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": 61 }, { "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": 160 }, { "id": 14273, "url": "https://svs.gsfc.nasa.gov/14273/", "result_type": "Produced Video", "release_date": "2023-01-12T11:00:00-05:00", "title": "A Look Back: 2022's Temperature Record", "description": "Complete transcript available. 2022 effectively tied for Earth’s 5th warmest year since 1880, and the last 9 consecutive years have been the warmest 9 on record. NASA looks back at how heat was expressed in different ways around the world in 2022.Music credit: “Ad Infinitum,” “Arctic Blue,” and “Recovery” from Universal Production Music || Thambnail_final2.jpg (2085x1176) [2.2 MB] || 2022_Temp_Update_FINAL.00001_web.png (320x180) [2.8 KB] || 2022_Temp_Update_FINAL.00001_thm.png (80x40) [594 bytes] || New_Thumbnail_final2.jpg (320x180) [44.2 KB] || 2022_Temp_Update_FINAL.webm (1920x1080) [36.9 MB] || 2022_Temp_Update_FINAL.mp4 (1920x1080) [667.1 MB] || Transcript_otter_ai.en_US.srt [4.7 KB] || Transcript_otter_ai.en_US.vtt [4.7 KB] || ", "hits": 114 }, { "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": 312 }, { "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": 92 }, { "id": 13842, "url": "https://svs.gsfc.nasa.gov/13842/", "result_type": "Produced Video", "release_date": "2021-04-21T13:00:00-04:00", "title": "NASA Explores Earth’s Connections", "description": "Complete transcript available. || EarthDay2021Connectionsv1080.00750_print.jpg (1024x576) [126.5 KB] || EarthDay2021Connectionsv1080.00750_searchweb.png (320x180) [61.3 KB] || EarthDay2021Connectionsv1080.00750_web.png (320x180) [61.3 KB] || EarthDay2021Connectionsv1080.00750_thm.png (80x40) [5.9 KB] || EarthDay2021Connectionsv1080.mp4 (1920x1080) [426.0 MB] || EarthDay2021Connectionsv1080.webm (1920x1080) [34.3 MB] || EarthDay2021ConnectionsFinal.mp4 (3840x2160) [426.2 MB] || EarthDay2021ConnectionsFinal.en_US.srt [5.0 KB] || EarthDay2021ConnectionsFinal.en_US.vtt [5.0 KB] || ", "hits": 236 }, { "id": 13765, "url": "https://svs.gsfc.nasa.gov/13765/", "result_type": "Produced Video", "release_date": "2020-11-05T12:00:00-05:00", "title": "High Tide Flooding", "description": "Complete transcript available. || SLR_2020_High_Tide_Flooding_Final_1080.02397_print.jpg (1024x576) [140.1 KB] || SLR_2020_High_Tide_Flooding_Final_1080.02397_web.png (320x180) [86.8 KB] || SLR_2020_High_Tide_Flooding_Final_1080.02397_thm.png (80x40) [6.1 KB] || SLR_2020_High_Tide_Flooding_Final_1080.02397_searchweb.png (320x180) [86.8 KB] || SLR_2020_High_Tide_Flooding_Final_1080.mp4 (1920x1080) [670.8 MB] || SLR_2020_High_Tide_Flooding_Final_1080.webm (1920x1080) [57.4 MB] || SLR_2020_High_Tide_Flooding_Final.mp4 (3840x2160) [2.0 GB] || high_tide_flooding_12.en_US.srt [10.0 KB] || high_tide_flooding_12.en_US.vtt [10.0 KB] || ", "hits": 44 }, { "id": 4834, "url": "https://svs.gsfc.nasa.gov/4834/", "result_type": "Visualization", "release_date": "2020-08-31T11:00:00-04:00", "title": "First Global Survey of Glacial Lakes Shows 30-Years of Dramatic Growth", "description": "Data visualization featuring the glacier rich region of the Himalayas, along with many of Earth’s highest peaks. The visualization sequence starts with a wide view of the Tibetan plateau and moves along a hiking path highlighting Mt. Everest, Mt. Lhotse, Mt Nuptse, the Everest Base Camp, the Khumbhu glacier, all the way to Imja Lake. Moving to a top-down view of Imja Lake, a time series of Landsat data unveils its dramatic growth for the period 1989-2019.This video is also available on our YouTube channel. || imja_final_4k.4600_print.jpg (1024x576) [114.8 KB] || imja_final_4k.4600_searchweb.png (320x180) [101.5 KB] || imja_final_4k.4600_web.png (320x180) [101.5 KB] || imja_final_4k.4600_thm.png (80x40) [7.5 KB] || imja_final_HD_1080p60.mp4 (1920x1080) [72.9 MB] || 1920x1080_16x9_60p (1920x1080) [0 Item(s)] || imja_final_HD_1080p60.webm (1920x1080) [19.7 MB] || with_cities (3840x2160) [0 Item(s)] || captions_silent.30013.en_US.srt [43 bytes] || imja_final_4k_2160p60.mp4 (3840x2160) [215.1 MB] || imja_final_2160p60_prores.mov (3840x2160) [16.9 GB] || ", "hits": 115 }, { "id": 4855, "url": "https://svs.gsfc.nasa.gov/4855/", "result_type": "Visualization", "release_date": "2020-08-27T15:00:00-04:00", "title": "NASA's GPM captures powerful Hurricane Laura over Louisiana", "description": "This visualization shows Hurricane Laura over the Gulf Coast states approximately 7 hours after making landfall on the morning of August 27, 2020. || cam_laura1240ZShape.2340_print.jpg (1024x576) [195.0 KB] || cam_laura1240ZShape.2340_searchweb.png (320x180) [99.6 KB] || cam_laura1240ZShape.2340_thm.png (80x40) [7.4 KB] || laura1240Z_1080p30.mp4 (1920x1080) [41.9 MB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || laura1240Z_1080p30.webm (1920x1080) [4.1 MB] || laura1240Z_1080p30.mp4.hwshow [184 bytes] || ", "hits": 28 }, { "id": 4847, "url": "https://svs.gsfc.nasa.gov/4847/", "result_type": "Visualization", "release_date": "2020-08-04T12:00:00-04:00", "title": "NASA captures Isaias over the U.S. East Coast", "description": "This data visualization shows Tropical Storm Isaias stretching across the United States East Coast on the morning of August 4th, 2020. This storm system caused major flooding and damage up and down the entire eastern seaboard.This video is also available on our YouTube channel. || isaias0804.2450_print.jpg (1024x576) [279.5 KB] || isaias0804.2450_searchweb.png (320x180) [110.3 KB] || isaias0804.2450_thm.png (80x40) [7.9 KB] || isaias0804_1080p30.mp4 (1920x1080) [78.6 MB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || isaias0804_1080p30.webm (1920x1080) [5.9 MB] || captions_silent.30042.en_US.srt [43 bytes] || isaias0804_1080p30.mp4.hwshow [184 bytes] || ", "hits": 57 }, { "id": 4846, "url": "https://svs.gsfc.nasa.gov/4846/", "result_type": "Visualization", "release_date": "2020-08-04T00:00:00-04:00", "title": "NASA captures Isaias bringing heavy rains to the Northern Bahamas", "description": "GPM captured Tropical Storm Isaias off the coast of Florida as it pounded the Northern Bahama Islands on August 2nd, 2020.This video is also available on our YouTube channel. || isaias0802.3899_print.jpg (1024x576) [217.5 KB] || isaias0802.3899_searchweb.png (320x180) [108.0 KB] || isaias0802.3899_thm.png (80x40) [8.2 KB] || isaias0802_1080p30.mp4 (1920x1080) [63.1 MB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || isaias0802_1080p30.webm (1920x1080) [5.8 MB] || captions_silent.30039.en_US.srt [43 bytes] || isaias0802_1080p30.mp4.hwshow [184 bytes] || ", "hits": 39 }, { "id": 4844, "url": "https://svs.gsfc.nasa.gov/4844/", "result_type": "Visualization", "release_date": "2020-07-29T13:00:00-04:00", "title": "NASA follows Hanna to the South Texas Coast", "description": "This data visualization shows Hurricane Hanna on July 25, 2020 as it makes landfall on the southern Texas coast. || cam_hannaShape.2400_print.jpg (1024x576) [237.9 KB] || cam_hannaShape.2400_searchweb.png (320x180) [122.2 KB] || cam_hannaShape.2400_thm.png (80x40) [8.8 KB] || hanna_1080p30.mp4 (1920x1080) [73.1 MB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || hanna_1080p30.webm (1920x1080) [11.1 MB] || hanna_1080p30.mp4.hwshow [179 bytes] || ", "hits": 26 }, { "id": 4842, "url": "https://svs.gsfc.nasa.gov/4842/", "result_type": "Visualization", "release_date": "2020-07-28T00:00:00-04:00", "title": "GPM observes Tropical Storm Cristobal drenching Louisiana and Mississippi", "description": "This data visualization shows Tropical Storm Cristobal on June 8th, 2020 after it had already made landfall and began moving northward up Louisiana and Alabama into Arkansas. GPM's GMI and DPR then sweep in to reveal the detailed surface precipitation and storm structure. || cam_cristobal_finalShape.4300_print.jpg (1024x576) [221.9 KB] || cam_cristobal_finalShape.4300_searchweb.png (320x180) [107.7 KB] || cam_cristobal_finalShape.4300_thm.png (80x40) [8.1 KB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || cam_cristobal_finalShape.webm (1920x1080) [10.5 MB] || cam_cristobal_finalShape.mp4 (1920x1080) [106.6 MB] || cam_cristobal_finalShape.mp4.hwshow [190 bytes] || ", "hits": 17 }, { "id": 4812, "url": "https://svs.gsfc.nasa.gov/4812/", "result_type": "Visualization", "release_date": "2020-04-09T00:00:00-04:00", "title": "GPM observes Cyclone Harold in the South Pacific", "description": "View of 3D precipitation from DPR and surface rain rates (mm/hr) from GMI of Cyclone Harold in the South Pacific on April 6 2020. The camera pushes in as a cutting plan reveals the inner precipitation rates of the storm. This video is also available on our YouTube channel. || harold_05.2400_print.jpg (1024x576) [159.2 KB] || harold_05.2400_searchweb.png (320x180) [121.3 KB] || harold_05.2400_thm.png (80x40) [8.9 KB] || harold (1920x1080) [0 Item(s)] || harold_05_1080p30.mp4 (1920x1080) [59.7 MB] || harold_05_1080p30.webm (1920x1080) [5.9 MB] || captions_silent.29226.en_US.srt [43 bytes] || harold_05_1080p30.mp4.hwshow [183 bytes] || ", "hits": 32 }, { "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": 4753, "url": "https://svs.gsfc.nasa.gov/4753/", "result_type": "Visualization", "release_date": "2019-09-06T09:00:00-04:00", "title": "GPM observes Hurricane Dorian lashing Florida", "description": "Snapshot view of 3D precipitation from DPR and surface rain rates (mm/hr) from GMI at 10:41 UTC (6:41 am EDT) 4 September 2019 when the center of Dorian was near the coast of central Florida about 90 miles due east of Daytona Beach.This video is also available on our YouTube channel. || dorian2__cam_dorianShape2_beauty.4300_print.jpg (1024x576) [187.7 KB] || dorian2__cam_dorianShape2_beauty.4300_searchweb.png (320x180) [116.1 KB] || dorian2__cam_dorianShape2_beauty.4300_thm.png (80x40) [8.3 KB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || dorian2__cam_dorianShape2_beauty.webm (1920x1080) [6.8 MB] || dorian2__cam_dorianShape2_beauty.mp4 (1920x1080) [123.3 MB] || captions_silent.27948.en_US.srt [43 bytes] || dorian2__cam_dorianShape2_beauty.mp4.hwshow [276 bytes] || ", "hits": 47 }, { "id": 4751, "url": "https://svs.gsfc.nasa.gov/4751/", "result_type": "Visualization", "release_date": "2019-09-03T00:00:00-04:00", "title": "GPM observes Hurricane Dorian over the Bahamas", "description": "Hurricane Dorian on September 1, 2019 (21:22 UTC) over Abaco Island in The BahamasThis video is also available on our YouTube channel. || dorian_08.2400_print.jpg (1024x576) [144.6 KB] || dorian_08.2400_searchweb.png (320x180) [121.2 KB] || dorian_08.2400_thm.png (80x40) [8.7 KB] || dorian (1920x1080) [0 Item(s)] || dorian_1080p30.mp4 (1920x1080) [72.2 MB] || dorian_1080p30.webm (1920x1080) [5.2 MB] || captions_silent.27911.en_US.srt [43 bytes] || dorian_1080p30.mp4.hwshow [180 bytes] || ", "hits": 35 }, { "id": 4740, "url": "https://svs.gsfc.nasa.gov/4740/", "result_type": "Visualization", "release_date": "2019-07-25T10:00:00-04:00", "title": "GPM observes Washington DC flooding", "description": "Animation that begins by showing IMERG precipitation across the eastern United States. GPM's DPR and GPROF data then wipe in. The camera then zooms into the Washington DC region to take a closer look at the precipitation centered over the DC area as the interior structure of the event is revealed. || dc_storm_HD.3600_print.jpg (1024x576) [140.6 KB] || dc_storm_HD.3600_searchweb.png (320x180) [99.3 KB] || dc_storm_HD.3600_thm.png (80x40) [7.1 KB] || dc_storm_HD_1080p30.mp4 (1920x1080) [67.8 MB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || dc_storm_HD_1080p30.webm (1920x1080) [5.4 MB] || 5760x3240_16x9_30p (5760x3240) [0 Item(s)] || dc_storm_HD_1080p30.mp4.hwshow [185 bytes] || ", "hits": 16 }, { "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": 65 }, { "id": 13243, "url": "https://svs.gsfc.nasa.gov/13243/", "result_type": "Produced Video", "release_date": "2019-06-26T11:00:00-04:00", "title": "NASA Tracks the Future of Asia's Glaciers", "description": "Asia’s high mountains are a crucial freshwater source to one-seventh of the world’s population. Snow and glaciers in these mountains contain the largest volume of freshwater outside of Earth's polar ice sheets, leading hydrologists to nickname this region the Third Pole. Rapid changes in the region's climate are affecting glacier flows and snowmelt. Local people are already modifying their land-use practices in response to the changing supply, and the region's ecology is transforming. Scientists estimate that by 2100, these glaciers could be up to 75% smaller in volume. NASA's satellites observe and measure snow and ice cover remotely with multiple types of sensors. This allows scientists to create an authoritative estimate of the water budget of this region and a set of products local policy makers can use in responding to hazards and planning for a changing water supply. || ", "hits": 45 }, { "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": 66 }, { "id": 13216, "url": "https://svs.gsfc.nasa.gov/13216/", "result_type": "Produced Video", "release_date": "2019-06-03T12:00:00-04:00", "title": "NASA Has Eyes On The Atlantic Hurricane Season", "description": "NASA has a unique and important view of hurricanes around the planet. Satellites and aircraft watch as storms form, travel across the ocean and sometimes, make landfall. After the hurricanes have passed, the satellites and aircraft see the aftermath of hurricanes, from downed forests to mass power loss. || ", "hits": 60 }, { "id": 31032, "url": "https://svs.gsfc.nasa.gov/31032/", "result_type": "Hyperwall Visual", "release_date": "2019-04-08T00:00:00-04:00", "title": "Historic Floods Inundate Nebraska", "description": "Comparison of imagery of Omaha in March 2018 and 2019 shows flooding in 2019 || omaha_oli_flooding_2019_print.jpg (1024x576) [246.2 KB] || omaha_oli_flooding_2019.png (3840x2160) [12.9 MB] || omaha_oli_flooding_2019_searchweb.png (320x180) [124.7 KB] || omaha_oli_flooding_2019_thm.png (80x40) [6.8 KB] || omaha_oli_flooding_2019_1080p.mp4 (1920x1080) [3.0 MB] || omaha_oli_flooding_2019_720p.mp4 (1280x720) [1.6 MB] || omaha_oli_flooding_2019_720p.webm (1280x720) [635.5 KB] || omaha_oli_flooding_2019_3840p.mp4 (3840x2160) [8.5 MB] || ", "hits": 81 }, { "id": 4692, "url": "https://svs.gsfc.nasa.gov/4692/", "result_type": "Visualization", "release_date": "2018-10-11T00:00:00-04:00", "title": "Tropical Storm Michael Drenches the Carolinas", "description": "This data visualization shows Tropical Storm Michael over the Carolinas on October 11, 2018. Shades of green, yellow, and red are ground precipitation rates. Blue and purple indicate frozen precipitation. || michael3.4300_print.jpg (1024x576) [173.7 KB] || michael3.4300_searchweb.png (320x180) [123.0 KB] || michael3.4300_thm.png (80x40) [9.1 KB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || michael3.webm (1920x1080) [11.6 MB] || michael3.mp4 (1920x1080) [142.5 MB] || michael3.mp4.hwshow [174 bytes] || ", "hits": 31 }, { "id": 4687, "url": "https://svs.gsfc.nasa.gov/4687/", "result_type": "Visualization", "release_date": "2018-09-28T00:00:00-04:00", "title": "El Nino Fueled Rains Swamp South America", "description": "Since the middle of 2015, meteorologists have warned that El Niño could bring unusually wet weather to Paraguay, Uruguay, Argentina, and southern Brazil. The first image shows a view of this region before the flood and the second is after the December/January El Nino rains swamped this part of South America. || OneBeforeAfterFLoodSA-ArgentinaParaguay02.00001_print.jpg (1024x576) [252.4 KB] || OneBeforeAfterFLoodSA-ArgentinaParaguay02.00001_searchweb.png (320x180) [131.8 KB] || OneBeforeAfterFLoodSA-ArgentinaParaguay02.00001_thm.png (80x40) [7.7 KB] || OneBeforeAfterFLoodSA-ArgentinaParaguay02.mp4 (3840x2160) [71.7 MB] || ElNinoFlood (3240x3240) [0 Item(s)] || OneBeforeAfterFLoodSA-ArgentinaParaguay02.webm (3840x2160) [8.8 MB] || rioparaguay02.hwshow [207 bytes] || ", "hits": 218 }, { "id": 4587, "url": "https://svs.gsfc.nasa.gov/4587/", "result_type": "Visualization", "release_date": "2017-10-05T00:00:00-04:00", "title": "The Brown Ocean Effect", "description": "Before Tropical Storm Bill made landfall over Texas, eastern Texas experienced several days of rain that began flooding areas to the south east and northern parts of the state. As Tropical Storm Bill moved northward through Texas it is hypothesized that it fed off the highly saturated ground (as if it were still over the ocean) and can be seen slightly intensifying (via winds) as it moved into Oklahoma and progressed to the northeast. || brown_ocean_v3.1016_print.jpg (1024x576) [267.9 KB] || brown_ocean_v3.1016_searchweb.png (320x180) [127.0 KB] || brown_ocean_v3.1016_thm.png (80x40) [7.8 KB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || brown_ocean_v3.webm (1920x1080) [17.0 MB] || brown_ocean_v3.mp4 (1920x1080) [245.0 MB] || brown_ocean_v3.mp4.hwshow [180 bytes] || ", "hits": 111 }, { "id": 4585, "url": "https://svs.gsfc.nasa.gov/4585/", "result_type": "Visualization", "release_date": "2017-09-19T00:00:00-04:00", "title": "Hurricane Jose lingers in the Atlantic as Hurricane Maria approaches Puerto Rico", "description": "GPM passed over both Hurricane Maria and Hurricane Jose on September 18th, 2017. As the camera moves in on the Maria, DPR's volumetric view of the storm is revealed. A slicing plane moves across the volume to display precipitation rates throughout the storm. Shades of green to red represent liquid precipitation extending down to the ground. || JoseMaria_03.6000_print.jpg (576x1024) [192.4 KB] || JoseMaria_03.6000_searchweb.png (320x180) [112.5 KB] || JoseMaria_03.6000_thm.png (80x40) [7.7 KB] || JoseMaria_09-18 (1920x1080) [0 Item(s)] || JoseMaria_03_1080p30.webm (1920x1080) [4.8 MB] || JoseMaria_03_1080p30.mp4 (1920x1080) [81.8 MB] || JoseMaria_09-18 (3840x2160) [0 Item(s)] || JoseMaria_03_2160p30.mp4 (3840x2160) [232.0 MB] || JoseMaria_03_1080p30.mp4.hwshow [186 bytes] || ", "hits": 48 }, { "id": 4584, "url": "https://svs.gsfc.nasa.gov/4584/", "result_type": "Visualization", "release_date": "2017-09-10T12:00:00-04:00", "title": "GPM Examines Hurricane Irma", "description": "GPM scans Hurricane Irma on September 5th and again on September 7th as the storm approaches Puerto Rico, the Dominican Republic, and Haiti as a category 5 hurricane. This video is also available on our YouTube channel. || Irma_4k_with_dates.2670_print.jpg (1024x576) [158.4 KB] || Irma_4k_with_dates.2670_searchweb.png (320x180) [96.8 KB] || Irma_4k_with_dates.2670_thm.png (80x40) [7.6 KB] || irma_with_dates (1920x1080) [128.0 KB] || Irma_with_dates_1080p30.mp4 (1920x1080) [86.9 MB] || Irma_with_dates_1080p30.webm (1920x1080) [6.3 MB] || irma_with_dates (3840x2160) [128.0 KB] || Irma_4k_with_dates_2160p30.mp4 (3840x2160) [233.2 MB] || ", "hits": 40 }, { "id": 30895, "url": "https://svs.gsfc.nasa.gov/30895/", "result_type": "Hyperwall Visual", "release_date": "2017-09-08T00:00:00-04:00", "title": "Surface Flooding from Hurricane Harvey", "description": "Flooding around Houston, Tx after Hurricane Harvey || SMAP_Harvey_PIA21930_print.jpg (1024x574) [84.0 KB] || SMAP_Harvey_PIA21930.png (4104x2304) [1.9 MB] || SMAP_Harvey_PIA21930_searchweb.png (320x180) [59.1 KB] || SMAP_Harvey_PIA21930_thm.png (80x40) [6.0 KB] || SMAP_Harvey_PIA21930.hwshow [208 bytes] || ", "hits": 40 }, { "id": 4458, "url": "https://svs.gsfc.nasa.gov/4458/", "result_type": "Visualization", "release_date": "2017-08-31T17:00:00-04:00", "title": "Harvey Floods Texas and Threatens Louisiana (Final Tropical Storm Update)", "description": "GPM caught Tropical Storm Harvey twice on August 30th, 2017. This time the storm made landfall in Louisiana and moved up east of the Texas/Louisiana border pounding already drenched eastern Texas and western Louisiana with more rain. || harvey_v2.3400_print.jpg (1024x576) [163.6 KB] || harvey_v3.mp4 (1920x1080) [91.1 MB] || harvey_through_aug_30 (1920x1080) [128.0 KB] || harvey_v3.webm (1920x1080) [11.4 MB] || GSFC_20170830_GPM_m4458_Harvey.en_US.vtt [64 bytes] || harvey.mp4.hwshow [187 bytes] || ", "hits": 71 }, { "id": 12697, "url": "https://svs.gsfc.nasa.gov/12697/", "result_type": "Produced Video", "release_date": "2017-08-30T12:00:00-04:00", "title": "NASA Captures Hurricane Harvey's Rainfall", "description": "Music: \"Whirlpool,\" Michael Jan Levine, Killer Tracks || 4458_Hurricane_Harvey_final_large.00656_print.jpg (1024x576) [189.0 KB] || 4458_Hurricane_Harvey_final_large.00656_searchweb.png (320x180) [107.2 KB] || 4458_Hurricane_Harvey_final_large.00656_thm.png (80x40) [7.8 KB] || 12697_Hurricane_Harvey_MASTER.webm (960x540) [36.1 MB] || 12697_Hurricane_Harvey_MASTER_facebook_720.mp4 (1280x720) [95.2 MB] || 12697_Hurricane_Harvey_MASTER_youtube_1080.mp4 (1920x1080) [128.4 MB] || 12697_Hurricane_Harvey_prores.mov (1920x1080) [1.2 GB] || 12697_Harvey.en_US.srt [1.4 KB] || 12697_Harvey.en_US.vtt [1.4 KB] || ", "hits": 54 }, { "id": 12583, "url": "https://svs.gsfc.nasa.gov/12583/", "result_type": "Produced Video", "release_date": "2017-08-03T12:00:00-04:00", "title": "North American Monsoon", "description": "Music: \"Mesmerized Housewives,\" Donn WIlkersonComplete transcript available. || NAM_still_print.jpg (1024x578) [142.4 KB] || NAM_still_searchweb.png (320x180) [98.6 KB] || NAM_still_thm.png (80x40) [7.1 KB] || 12069_NAM_final_prores.mov (1920x1080) [2.7 GB] || 12069_NAM_final_1.mp4 (1920x1080) [160.4 MB] || 12069_NAM_final_large.mp4 (1920x1080) [108.5 MB] || 12069_NAM_final_appletv.m4v (1280x720) [68.8 MB] || 12069_NAM_final_prores.webm (1920x1080) [11.2 MB] || 12069_NAM_final_appletv_subtitles.m4v (1280x720) [68.8 MB] || 12069_NAM.en_US.srt [1.8 KB] || 12069_NAM.en_US.vtt [1.9 KB] || ", "hits": 17 }, { "id": 4575, "url": "https://svs.gsfc.nasa.gov/4575/", "result_type": "Visualization", "release_date": "2017-07-31T00:00:00-04:00", "title": "NASA Studies Hurricane Matthew", "description": "This data visualization follows Hurricane Matthew throughout its destructive run in the Caribbean and Southeast U.S. coast. By utilizing different data sets from NOAA's GOES satellite, NASA/JAXA's GPM, MERRA-2 model runs, IMERG, Goddard's soil moisture product, and sea surface temperatures, scientists are able to put together a clearer picture of how this hurricane quickly intensified and eventually weakened. || matthew_narrated_v106.5800_print.jpg (1024x576) [189.6 KB] || matthew_narrated_v106.5800_searchweb.png (320x180) [114.8 KB] || matthew_narrated_v106.5800_thm.png (80x40) [7.8 KB] || matthew (1920x1080) [0 Item(s)] || matthew_narrated_v106.webm (1920x1080) [22.0 MB] || matthew_narrated_v106.mp4 (1920x1080) [140.5 MB] || 3840x2160_16x9_30p (3840x2160) [0 Item(s)] || matthew_narrated_v106_4k.mp4 (3840x2160) [443.1 MB] || matthew_narrated_nosound.hwshow || ", "hits": 93 }, { "id": 12195, "url": "https://svs.gsfc.nasa.gov/12195/", "result_type": "Produced Video", "release_date": "2017-07-25T09:30:00-04:00", "title": "Flying Over Hurricanes For New NASA Mission", "description": "NASA scientists are investigating key questions about hurricanes in a new mission from the skies. This August, the East Pacific Origins and Characteristics of Hurricanes, or EPOCH, mission will fly over East Pacific storms to better understand how they form and intensify. EPOCH will conduct up to six 24-hour science flights using the Global Hawk unmanned aircraft. Three of the flights are being supported through a partnership with the NOAA UAS Program. Data will be collected using three instruments (EXRAD, HAMSR, and AVAPS) aboard the aircraft that will map out the 3-D patterns of temperature, pressure, humidity, precipitation, and wind speed - key factors that influence hurricane behavior. NASA scientists use a combination of ground, modeled, and satellite data to re-create multi-dimensional pictures of hurricanes and other major storms in order to study complex atmospheric interactions. || ", "hits": 21 }, { "id": 12635, "url": "https://svs.gsfc.nasa.gov/12635/", "result_type": "Produced Video", "release_date": "2017-07-25T00:00:00-04:00", "title": "A New Multi-dimensional View of a Hurricane", "description": "Music: \"Buoys,\" Donn Wilkerson, Killer Tracks; \"Late Night Drive,\" Donn Wilkerson, Killer Tracks.Complete transcript available. || Matthew_screengrab_print.jpg (1024x574) [158.4 KB] || Matthew_screengrab_searchweb.png (320x180) [114.3 KB] || Matthew_screengrab_thm.png (80x40) [8.1 KB] || 12635_Hurricane_Matthew_prores.webm (1920x1080) [25.4 MB] || 12635_Hurricane_Matthew_twitter_720.mp4 (1280x720) [49.8 MB] || 12635_Hurricane_Matthew.mp4 (1920x1080) [236.9 MB] || 12635_Hurricane_Matthew_facebook_720.mp4 (1280x720) [271.2 MB] || 12635_Hurricane_Matthew_prores_youtube_720.mp4 (1280x720) [362.8 MB] || 12635_Hurricane_Matthew_youtube_1080.mp4 (1920x1080) [362.9 MB] || 12635_Hurricane_Matthew.en_US.srt [4.1 KB] || 12635_Hurricane_Matthew.en_US.vtt [4.1 KB] || 12635_Hurricane_Matthew_prores.mov (1920x1080) [3.0 GB] || ", "hits": 55 }, { "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": 84 }, { "id": 4543, "url": "https://svs.gsfc.nasa.gov/4543/", "result_type": "Visualization", "release_date": "2017-01-23T00:00:00-05:00", "title": "Monitoring Hurricane Matthew", "description": "This example visualization shows how all of the below data visualizations could be arranged on NASA's 3x3 hyperwall display. || MatthewHyperwall9.01110_print.jpg (1024x576) [227.7 KB] || MatthewHyperwall9.01110_searchweb.png (320x180) [116.5 KB] || MatthewHyperwall9.01110_thm.png (80x40) [8.0 KB] || MatthewHyperwall9.mp4 (1920x1080) [61.9 MB] || MatthewHyperwall9.webm (1920x1080) [4.8 MB] || MatthewHyperwall9_4543.key [64.9 MB] || MatthewHyperwall9_4543.pptx [64.4 MB] || MatthewHyperwall9.mp4.hwshow [206 bytes] || ", "hits": 26 }, { "id": 4512, "url": "https://svs.gsfc.nasa.gov/4512/", "result_type": "Visualization", "release_date": "2016-10-11T17:00:00-04:00", "title": "GPM Monitors Hurricane Matthew Flooding the Carolinas", "description": "This data visualization resumes where the visualization \"GPM Captures Hurricane Matthew Nearing Florida\" leaves off. In this animation Hurricane Matthew travels up the east coast from Florida to the Carolinas. On October 8, 2016 Matthew (still a category 2 hurricane) dumps massive amounts of rain throughout the southeast dousing North and South Carolina. GPM then flies over the area revealing precipitation rates on the ground. As we zoom in closer, GPM's DPR sensor reveals a curtain of 3D rain rates within the massive weather system. || matthew_v4_annotated.4999_print.jpg (1024x576) [143.7 KB] || matthew_v4_annotated.4999_searchweb.png (320x180) [86.4 KB] || matthew_v4_annotated.4999_thm.png (80x40) [6.7 KB] || Matthew_with_annotations (1920x1080) [0 Item(s)] || matthew_v4_annotated_1080p30.mp4 (1920x1080) [20.0 MB] || matthew_v4_annotated_1080p30.webm (1920x1080) [4.0 MB] || matthew_v4_annotated_1080p30.mp4.hwshow [194 bytes] || ", "hits": 22 }, { "id": 4497, "url": "https://svs.gsfc.nasa.gov/4497/", "result_type": "Visualization", "release_date": "2016-09-27T13:00:00-04:00", "title": "GPM sees Louisiana Floods", "description": "This visualization begins with an overview of the United States showing the clouds and rainfall accumulation of the massive rain event over Louisiana beginning on August 11th, 2016 through August 13th, 2016. The camera then begins to zoom in as time resets to August 11th. Time then slows way down on August 12th to show the first of GPM's passes. In this close up of GPM's volumetric DPR data over Louisiana, a cutting plane materializes into view to show the inner structure of this giant storm system. From this view, one can clearly see the heavy amounts of rain in the center of the storm (depicted in yellow, orange, and red). The GPM data then dissolves away as time speeds up before slowing down again later on that same day. This time GPM captures a much larger swath of the storm. Dissolving in the cutting plane again reveals huge amounts of rainfall at this later time. As the GPM data dissolves away again, time speeds back up to show the rest of the rainfall accumulation partway through August 13. At this time, a large portion of Louisiana can be seen completely saturated with rainfall accumulations (depicted in shades of orange to red). || la_flood_rainaccum_w_dates.1190_print.jpg (1024x576) [106.8 KB] || la_flood_rainaccum_w_dates.1190_searchweb.png (320x180) [83.6 KB] || la_flood_rainaccum_w_dates.1190_thm.png (80x40) [6.6 KB] || la_flood_rainaccum_w_dates_1080p30_2.mp4 (1920x1080) [33.4 MB] || example_composite (1920x1080) [128.0 KB] || dates (1920x1080) [64.0 KB] || state_outlines (1920x1080) [128.0 KB] || dpr_clipped_1221Z (1920x1080) [64.0 KB] || dpr_1221Z (1920x1080) [64.0 KB] || dpr_clipped_0220Z (1920x1080) [64.0 KB] || dpr_0220Z (1920x1080) [64.0 KB] || rain_accumulation (1920x1080) [64.0 KB] || gpm_gprof (1920x1080) [128.0 KB] || cloudy_earth (1920x1080) [128.0 KB] || la_flood_rainaccum_w_dates_1080p30_2.webm (1920x1080) [5.7 MB] || la_flood_rainaccum_w_dates_1080p30_2.mp4.hwshow [244 bytes] || ", "hits": 18 }, { "id": 12378, "url": "https://svs.gsfc.nasa.gov/12378/", "result_type": "Produced Video", "release_date": "2016-09-27T12:00:00-04:00", "title": "GPM Provides a Closer Look at the Louisiana Floods", "description": "Music: Chris White, \"Afterglow\"Complete transcript available. || 12378_LAFlooding.00183_print.jpg (1024x576) [150.9 KB] || 12378_LAFlooding.00183_thm.png (80x40) [7.2 KB] || 12378_LAFlooding.00183_searchweb.png (320x180) [97.5 KB] || 12378_LAFlooding.mp4 (1920x1080) [78.8 MB] || 12378_LAFlooding_prores.mov (1920x1080) [998.2 MB] || 12378_LAFlooding_prores.webm (1920x1080) [7.5 MB] || 12378_LAFlooding.en_US.srt [1.4 KB] || 12378_LAFlooding.en_US.vtt [1.4 KB] || ", "hits": 19 }, { "id": 12255, "url": "https://svs.gsfc.nasa.gov/12255/", "result_type": "Produced Video", "release_date": "2016-06-23T11:00:00-04:00", "title": "Monsoons: Wet, Dry, Repeat...", "description": "Complete transcript available.Music: Letting Go by Mario Lauer, 24 Dimensions by Christian Telford, David Travis Edwards, Matthew St. Laurent, and Robert Anthony Navarro || Monsoon_narrated_1080_30fps_youtube.00749_print.jpg (1024x576) [184.2 KB] || Monsoon_narrated_1080_30fps_youtube.00749_searchweb.png (180x320) [92.7 KB] || Monsoon_narrated_1080_30fps_youtube.00749_thm.png (80x40) [6.3 KB] || monsoonnarrfull.en_US.srt [4.9 KB] || monsoonnarrfull.en_US.vtt [4.9 KB] || 12255_Monsoons_1080_30fps.mp4 (1920x1080) [406.7 MB] || 12255_Monsoons_1080_60fps.mp4 (1920x1080) [409.0 MB] || 12255_Monsoons_4k_60fps_prores.mov (3840x2160) [27.8 GB] || 12255_Monsoons_4k30fps_youtube.mp4 (3840x2160) [1008.7 MB] || 12255_Monsoons_4k_60fps.webm (3840x2160) [131.9 MB] || ", "hits": 129 }, { "id": 12287, "url": "https://svs.gsfc.nasa.gov/12287/", "result_type": "Produced Video", "release_date": "2016-06-22T00:00:00-04:00", "title": "Extreme Precipitation Facebook Live Event", "description": "Ever wonder where in the world we get the most extreme rainfall (and how we know)? Or if climate change is going to cause more frequent and intense hurricanes?NASA scientists and engineers, Dalia Kirschbaum, Scott Braun, and Jamie Pawloski had a live discussion on Facebook about how they study extreme weather from space. Viewers got a behind-the-scenes tour of the Global Precipitation Measurement Mission Operations Center and were also able to ask the scientists questions. The Facebook Live event was held on June 23, 2016 at 1.00pm ET. Click here to see the original Facebook post.To see more posts from NASA's precipitation measurement missions visit their Facebook page. || ", "hits": 15 }, { "id": 4473, "url": "https://svs.gsfc.nasa.gov/4473/", "result_type": "Visualization", "release_date": "2016-06-17T15:00:00-04:00", "title": "IMERG Rainfall Accumulation over the United States for 5/27/2016-6/9/2016", "description": "A week-long series of heavy rain storms across Texas in late May to early June of 2016 led to flash floods from Houston to Dallas. This rain is captured in a rain accumulation visualization derived from the IMERG precipitation dataset. || ", "hits": 22 }, { "id": 12196, "url": "https://svs.gsfc.nasa.gov/12196/", "result_type": "Produced Video", "release_date": "2016-04-05T13:00:00-04:00", "title": "Southeast India Flooding, Dec. 2015", "description": "False-color image, acquired on December 8, 2015, by the Operational Land Imager (OLI) on Landsat 8, showing the extent of flooding in southeastern India after a deluge of rain a week earlier. The Somasila Reservoir and other water bodies in the region are significantly expanded compared to the image from October 21, 2015. || india_oli_2015342_after_print.jpg (1024x576) [243.7 KB] || india_oli_2015342_after.png (4096x2304) [18.0 MB] || india_oli_2015342_after_searchweb.png (320x180) [125.5 KB] || india_oli_2015342_after_thm.png (80x40) [7.1 KB] || southeast-india-flooding-dec-2015-after.hwshow [268 bytes] || ", "hits": 57 }, { "id": 12113, "url": "https://svs.gsfc.nasa.gov/12113/", "result_type": "Produced Video", "release_date": "2016-01-04T09:00:00-05:00", "title": "GPM 2015: One Year of Storms", "description": "A look back at the storms captured by GPM for 2015. || GPM_2015_Year_print.jpg (1024x576) [63.5 KB] || GPM_2015_Year_searchweb.png (320x180) [55.1 KB] || GPM_2015_Year_thm.png (80x40) [4.6 KB] || 12113_GPMYear2015_MASTER.mov (1280x720) [1.1 GB] || GPM_2015_Year.mp4 (1280x720) [163.0 MB] || 12113_GPMYear2015_MASTER.webm (1280x720) [17.2 MB] || 12113_GPMYear2015_MASTER.mpeg (1280x720) [539.6 MB] || 12113_GPMYear2015_MASTER_appletv.m4v (1280x720) [78.9 MB] || 12113_GPMYear2015_MASTER_large.mp4 (1280x720) [164.5 MB] || 12113_GPMYear2015_MASTER_appletv_subtitles.m4v (1280x720) [78.9 MB] || GPM_2015_Year.en_US.srt [1.3 KB] || GPM_2015_Year.en_US.vtt [1.4 KB] || ", "hits": 19 }, { "id": 11966, "url": "https://svs.gsfc.nasa.gov/11966/", "result_type": "Produced Video", "release_date": "2015-07-31T00:00:00-04:00", "title": "A Tale Of Two Extremes Live Shots", "description": "The accumulated precipitation product visualized here begins on January 1, 2015 and runs through July 16, 2015. This visualization shows the heavy rainfall throughout Northern Texas and across Oklahoma as well as the drought in Southern California.This video is also available on our YouTube channel. || usa_drought_accum.6400_print.jpg (1024x576) [143.8 KB] || usa_drought_accum.6400_searchweb.png (320x180) [91.0 KB] || usa_drought_accum.6400_thm.png (80x40) [7.0 KB] || usa_drought_accum.6.mp4 (1920x1080) [6.5 MB] || rainfall_only_on_land (1920x1080) [32.0 KB] || usa_drought_accum_w_cbar_comp_1080p30.mp4 (1920x1080) [7.0 MB] || rainfall_only_on_land_with_colorbar (1920x1080) [32.0 KB] || usa_drought_accum.6.webm (1920x1080) [1.5 MB] || ", "hits": 24 }, { "id": 4316, "url": "https://svs.gsfc.nasa.gov/4316/", "result_type": "Visualization", "release_date": "2015-06-17T17:00:00-04:00", "title": "Tropical Storm Bill Over Texas", "description": "Visualization of rainfall over Texas as Tropical Storm Bill further drenched the state with rain on June 17, 2015 at 6:11:27Z. Shades of blue indicate frozen precipitation in the atmosphere and shades of green to red show liquid precipitation. || bill1080.1220_print.jpg (1024x576) [105.2 KB] || bill1080.1220_searchweb.png (320x180) [72.0 KB] || bill1080.1220_thm.png (80x40) [6.0 KB] || bill1080.mp4 (1920x1080) [24.5 MB] || bill_720p.mp4 (1280x720) [12.7 MB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || 1280x720_16x9_30p (1280x720) [0 Item(s)] || bill_720p.webm (1280x720) [5.1 MB] || bill_4316.key [29.1 MB] || bill_4316.pptx [26.5 MB] || bill1080.mp4.hwshow [184 bytes] || ", "hits": 22 }, { "id": 30599, "url": "https://svs.gsfc.nasa.gov/30599/", "result_type": "Hyperwall Visual", "release_date": "2015-05-17T00:00:00-04:00", "title": "Soil Moisture Maps and Australian Rainfall", "description": "A series of images shows soil moisture and flooding in Australia. || smap_rainfall_australia_april_2015_print.jpg (1024x574) [129.9 KB] || smap_rainfall_australia_april_2015.png (4104x2304) [1.6 MB] || smap_rainfall_australia_april_2015_searchweb.png (180x320) [62.4 KB] || smap_rainfall_australia_april_2015_thm.png (80x40) [6.9 KB] || smap_rainfall_australia_april_2015_30599.key [4.6 MB] || smap_rainfall_australia_april_2015_30599.pptx [2.0 MB] || smap_rainfall_australia_april_2015.hwshow [236 bytes] || ", "hits": 22 }, { "id": 11506, "url": "https://svs.gsfc.nasa.gov/11506/", "result_type": "Produced Video", "release_date": "2014-03-20T00:00:00-04:00", "title": "Tracking Urban Change With Landsat", "description": "For helping communities across the United States stay up-to-date on their flood risk, the NASA/USGS Landsat satellites can take a bow. The Federal Emergency Management Agency uses Landsat images, which can illustrate urban changes, as a key indicator of sites where the agency should further investigate the flooding potential. With its archive of images capturing sprawling cities and new developments, Landsat can help FEMA track how building and construction is impacting an area’s landscapeEarth-observing Landsat satellites have been capturing images of the planet’s surface since 1972. Landsat 8 is the newest satellite in the program, a joint effort between NASA and the U.S. Geological Survey. It launched Feb. 11, 2013, and collects more than 400 images per day. New and archived Landsat data are available free to the public over the internet – and researchers have put the data to a multitude of uses. One is called the National Urban Change Indicator, or NUCI, created by MacDonald, Dettwiler, and Associates, LTD. It’s the results from a process that mines Landsat images over a 27-year period to identify areas of “permanent change,” where soil has been paved over for parking lots or other concrete structures.NUCI results act as a red flag for FEMA, helping the agency focus its mapping efforts and budget. But if maps identify a high risk of floods for a certain community, residents can take action, including elevating houses, building flood barricades, and more. || ", "hits": 54 }, { "id": 30657, "url": "https://svs.gsfc.nasa.gov/30657/", "result_type": "Hyperwall Visual", "release_date": "2013-09-23T00:00:00-04:00", "title": "ISERV Captures Flooding in Calgary, Canada", "description": "ISERV Captures Flooding in Calgary, Canada || ISERV_Flooding_Calgary.00001_print.jpg (1024x576) [237.0 KB] || ISERV_Flooding_Calgary.00001_searchweb.png (320x180) [127.1 KB] || ISERV_Flooding_Calgary.00001_thm.png (80x40) [7.2 KB] || ISERV_Flooding_Calgary.mov (1280x720) [25.3 MB] || ISERV_Flooding_Calgary.webm (1280x720) [1.5 MB] || ", "hits": 16 }, { "id": 11221, "url": "https://svs.gsfc.nasa.gov/11221/", "result_type": "Produced Video", "release_date": "2013-04-12T00:00:00-04:00", "title": "GPM: Our Wet Wide World", "description": "The Global Precipitation Measurement (GPM) is an international satellite mission to provide next-generation observations of rain and snow worldwide every three hours. NASA and the Japan Aerospace Exploration Agency (JAXA) will launch a \"Core\" satellite carrying advanced instruments that will set a new standard for precipitation measurements from space. The data they provide will be used to unify precipitation measurements made by an international network of partner satellites to quantify when, where, and how much it rains or snows around the world.The GPM mission will help advance our understanding of Earth's water and energy cycles, improve the forecasting of extreme events that cause natural disasters, and extend current capabilities of using satellite precipitation information to directly benefit society. || ", "hits": 21 }, { "id": 30039, "url": "https://svs.gsfc.nasa.gov/30039/", "result_type": "Hyperwall Visual", "release_date": "2013-03-28T00:00:00-04:00", "title": "2010 Indus Floods", "description": "Some blamed La Niña, while others faulted inadequate flood-prevention plans for the devastation left behind by the 2010 Pakistan Floods. In either case, the coming together of international partners allowed rapid humanitarian response efforts to take place. The importance of international partnership lies within the craftsmanship of the middle map, a mosaic of shared satellite data pieced together by UNITAR’s Operational Satellite Application Programme (UNOSAT). The map provides flood analysis based on a time series of satellite data recorded between July 28-September 16, 2010. With the support from several other partners, UNOSAT was able to provide emergency response maps to humanitarian communities during the floods. Often times, those assessing flood extent on land are unable to map an entire area before water levels change again. Satellites, however, offer a unique perspective from space and provide data across large geographic areas nearly every day. || ", "hits": 43 }, { "id": 11091, "url": "https://svs.gsfc.nasa.gov/11091/", "result_type": "Produced Video", "release_date": "2012-08-27T13:00:00-04:00", "title": "GPM Applications", "description": "Water is fundamental to life on Earth. Knowing where and how much rain and snow falls globally is vital to understanding how weather and climate impact both our environment and Earth's water and energy cycles, including effects on agriculture, fresh water availability, and responses to natural disasters. Since rainfall and snowfall vary greatly from place to place and over time, satellites can provide more uniform observations of rain and snow around the globe than ground instruments, especially in areas where surface measurements are difficult. GPM's next-generation global precipitation data will lead to scientific advances and societal benefits in the following areas: Improved knowledge of the Earth's water cycle and its link to climate change New insights into precipitation microphysics, storm structures and large-scale atmospheric processes Better understanding of climate sensitivity and feedback processes Extended capabilities in monitoring and predicting hurricanes and other extreme weather events Improved forecasting capabilities for natural hazards, including floods, droughts and landslides. Enhanced numerical prediction skills for weather and climate Better agricultural crop forecasting and monitoring of freshwater resources.For more information and resources please visit the Precipitation Measurement Missions web site. || ", "hits": 29 }, { "id": 11054, "url": "https://svs.gsfc.nasa.gov/11054/", "result_type": "Produced Video", "release_date": "2012-08-02T12:00:00-04:00", "title": "Earth's Water Cycle", "description": "Water is the fundamental ingredient for life on Earth. Looking at our Earth from space, with its vast and deep ocean, it appears as though there is an abundance of water for our use. However, only a small portion of Earth's water is accessible for our needs. How much fresh water exists and where it is stored affects us all. This animation uses Earth science data from a variety of sensors on NASA Earth observing satellites as well as cartoons to describe Earth's water cycle and the continuous movement of water on, above and below the surface of the Earth. Sensors on a suite of NASA satellites observe and measure water on land, in the ocean and in the atmosphere. These measurements are important to understanding the availability and distribution of Earth's water — vital to life and vulnerable to the impacts of climate change on a growing world population.NASA Earth Observing System Data and Information Systems (EOSDIS) EOSDIS is a distributed system of twelve data centers and science investigator processing systems. EOSDIS processes, archives, and distributes data from Earth observing satellites, field campaigns, airborne sensors, and related Earth science programs. These data enable the study of Earth from space to advance scientific understanding.For questions, please contact eosdis-outreach@lists.nasa.gov || ", "hits": 217 }, { "id": 3850, "url": "https://svs.gsfc.nasa.gov/3850/", "result_type": "Visualization", "release_date": "2011-08-30T00:00:00-04:00", "title": "Extreme Russian Fires and Pakistan Floods Linked Meteorologically", "description": "In the summer of 2010, months of record-breaking drought and temperatures culminated with a rash of fires that ravaged western Russia for weeks. Temperatures in Moscow soared to an average of 104 °F (40 °C) during late July and early August — more than 18 °F (10 °C) above normal. Hundreds of fires broke out producing some $15 million in damages. The heat and smoke killed about 56,000 people, making the Russian wildfires fires one of the most lethal natural disasters of the year.Meanwhile, some 930 kilometers (1,500 miles) away, relentless rainfall was simultaneously pounding Pakistan and generating intense flooding. The Pakistan Meteorological Department reported nationwide rain totals 70 percent above normal in July and 102 percent above normal in August.New research conducted by William Lau, an atmospheric scientist at NASA's Goddard Space Flight Center in Greenbelt, Md., suggests the two seemingly disconnected events were actually closely linked.Under normal circumstances, the jet stream pushes weather fronts through Eurasia in four or five days, but something unusual happened in July of 2010. A large-scale, stagnant weather pattern — known as an Omega blocking event — slowed the Rossby wave over Russia and prevented the normal progression of weather systems from west to east.As a result, a large region of high-pressure formed over Russia trapping a hot, dry air mass over the area. As the high lingered, the land surface dried and the normal transfer of moisture from the soil to the atmosphere slowed. Precipitation ceased, vegetation dried out, and the region became a taiga tinderbox.Meanwhile, the blocking pattern created unusual downstream wind patterns over Pakistan. Areas of low pressure on the leading edge of the Rossby wave formed in response to the high, pulling cold, dry Siberian air into lower latitudes.This cold air from Siberia clashed with warm, moist air arriving over Pakistan from the Bay of Bengal as part of the monsoon. There's nothing unusual about moisture moving north over India toward the Himalayas. It's a normal part of the monsoon. However, in this case, the unusual wind patterns associated with the blocking high brought upper level air disturbances farther south than typical, which in effect helped shifted the entire monsoon system north and west.This brought heavy monsoon rains — centered over parts of India — squarely over the northern part of Pakistan, a region ill-prepared to handle large amounts of rain. || ", "hits": 39 }, { "id": 10773, "url": "https://svs.gsfc.nasa.gov/10773/", "result_type": "Produced Video", "release_date": "2011-05-19T11:00:00-04:00", "title": "Mississippi Flooding 2011", "description": "Heavy spring rains and snowmelt led to devastating floods along the Mississippi River in May 2011. Landsat 5 flew over the Mississippi River on May 10, 2011, giving a distinct view of the extraordinary extent of the flooding. This was only eight days after the Army Corps of Engineers began blasting holes in earthen levees near Cairo, Illinois, when the river reached a depth of 61 feet. The extent of the 2011 flooding is compared with the same locations in April 2010. || ", "hits": 165 }, { "id": 3719, "url": "https://svs.gsfc.nasa.gov/3719/", "result_type": "Visualization", "release_date": "2010-06-24T00:00:00-04:00", "title": "MERRA Specific Humidity", "description": "Retrospective-analyses (or reanalyses) have been a critical tool in studying weather and climate variability for the last 15 years. Reanalyses blend the continuity and breadth of output data of a numerical model with the constraint of vast quantities of observational data. The result is a long-term continuous data record. The Modern Era Retrospective-analysis for Research and Applications was developed to support NASA's Earth science objectives, by applying the state-of-the-art GMAO data assimilation system that includes many modern observing systems (such as EOS) in a climate framework.The MERRA time period covers the modern era of remotely sensed data, from 1979 through the present, and the special focus of the atmospheric assimilation is the hydrological cycle.The time period covered by the visualization is the months of May, June, and July of 1988 and 1993, two years with contrasting extreme weather events during the summer: a drought through the midwestern states of the US in 1988, and heavy rains and flooding through the same region in 1993.This visualization shows the specific humidity dataset produced by MERRA, up to a geopotential height of 20 km. The height coordinate is greatly exaggerated. Both opacity and color are driven by the data value.This animation was created as part of a presentation for the Nasa Center for Climate Simulation (NCCS) hyperwall display. This is a set of tiled high definition displays consisting of 5 displays across by 3 displays down. The full resolution of all combined displays is 6840 pixels accross by 2304 pixels down. For the full presentation, see the link below. || ", "hits": 33 }, { "id": 3732, "url": "https://svs.gsfc.nasa.gov/3732/", "result_type": "Visualization", "release_date": "2010-06-24T00:00:00-04:00", "title": "MERRA Relative Humidity", "description": "Retrospective-analyses (or reanalyses) have been a critical tool in studying weather and climate variability for the last 15 years. Reanalyses blend the continuity and breadth of output data of a numerical model with the constraint of vast quantities of observational data. The result is a long-term continuous data record. The Modern Era Retrospective-analysis for Research and Applications was developed to support NASA's Earth science objectives, by applying the state-of-the-art GMAO data assimilation system that includes many modern observing systems (such as EOS) in a climate framework.The MERRA time period covers the modern era of remotely sensed data, from 1979 through the present, and the special focus of the atmospheric assimilation is the hydrological cycle.The time period covered by the visualization is the months of May, June, and July of 1988 and 1993, two years with contrasting extreme weather events during the summer: a drought through the midwestern states of the US in 1988, and heavy rains and flooding through the same region in 1993.This visualization shows the relative humidity dataset produced by MERRA, up to a geopotential height of 20 km. The height coordinate is greatly exaggerated. Both opacity and color are driven by the data value.This animation was created as part of a presentation for the Nasa Center for Climate Simulation (NCCS) hyperwall display. This is a set of tiled high definition displays consisting of 5 displays across by 3 displays down. The full resolution of all combined displays is 6840 pixels accross by 2304 pixels down. For the full presentation, see the link below. || ", "hits": 57 }, { "id": 3733, "url": "https://svs.gsfc.nasa.gov/3733/", "result_type": "Visualization", "release_date": "2010-06-24T00:00:00-04:00", "title": "MERRA Wind", "description": "Retrospective-analyses (or reanalyses) have been a critical tool in studying weather and climate variability for the last 15 years. Reanalyses blend the continuity and breadth of output data of a numerical model with the constraint of vast quantities of observational data. The result is a long-term continuous data record. The Modern Era Retrospective-analysis for Research and Applications was developed to support NASA's Earth science objectives, by applying the state-of-the-art GMAO data assimilation system that includes many modern observing systems (such as EOS) in a climate framework.The MERRA time period covers the modern era of remotely sensed data, from 1979 through the present, and the special focus of the atmospheric assimilation is the hydrological cycle.The time period covered by the visualization is the months of May, June, and July of 1988 and 1993, two years with contrasting extreme weather events during the summer: a drought through the midwestern states of the US in 1988, and heavy rains and flooding through the same region in 1993.This visualization shows the combined U and V components of wind at three different pressure levels: 850 mb, 500 mb, and 300 mb. The pressure coordinate is greatly exaggerated.This animation was created as part of a presentation for the Nasa Center for Climate Simulation (NCCS) hyperwall display. This is a set of tiled high definition displays consisting of 5 displays across by 3 displays down. The full resolution of all combined displays is 6840 pixels accross by 2304 pixels down. For the full presentation, see the link below. || ", "hits": 36 }, { "id": 3734, "url": "https://svs.gsfc.nasa.gov/3734/", "result_type": "Visualization", "release_date": "2010-06-24T00:00:00-04:00", "title": "MERRA Combined Liquid Water and Ice Mixing Ratios", "description": "Retrospective-analyses (or reanalyses) have been a critical tool in studying weather and climate variability for the last 15 years. Reanalyses blend the continuity and breadth of output data of a numerical model with the constraint of vast quantities of observational data. The result is a long-term continuous data record. The Modern Era Retrospective-analysis for Research and Applications was developed to support NASA's Earth science objectives, by applying the state-of-the-art GMAO data assimilation system that includes many modern observing systems (such as EOS) in a climate framework.The MERRA time period covers the modern era of remotely sensed data, from 1979 through the present, and the special focus of the atmospheric assimilation is the hydrological cycle.The time period covered by the visualization is the months of May, June, and July of 1988 and 1993, two years with contrasting extreme weather events during the summer: a drought through the midwestern states of the US in 1988, and heavy rains and flooding through the same region in 1993.This visualization shows the combined liquid water and ice mixing ratio dataset produced by MERRA, roughly corresponding to cloud cover, up to an geopotential height of 20 km. The height coordinate is greatly exaggerated. Both opacity and color are driven by the data value.This animation was created as part of a presentation for the NASA Center for Climate Simulation (NCCS) hyperwall display. This is a set of tiled high definition displays consisting of 5 displays across by 3 displays down. The full resolution of all combined displays is 6840 pixels accross by 2304 pixels down. For the full presentation, see the link below. || ", "hits": 24 }, { "id": 3735, "url": "https://svs.gsfc.nasa.gov/3735/", "result_type": "Visualization", "release_date": "2010-06-24T00:00:00-04:00", "title": "MERRA Rate of Total Precipitation, 1988, 1993", "description": "Retrospective-analyses (or reanalyses) have been a critical tool in studying weather and climate variability for the last 15 years. Reanalyses blend the continuity and breadth of output data of a numerical model with the constraint of vast quantities of observational data. The result is a long-term continuous data record. The Modern Era Retrospective-analysis for Research and Applications was developed to support NASA's Earth science objectives, by applying the state-of-the-art GMAO data assimilation system that includes many modern observing systems (such as EOS) in a climate framework.The MERRA time period covers the modern era of remotely sensed data, from 1979 through the present, and the special focus of the atmospheric assimilation is the hydrological cycle.The time period covered by the visualization is the months of May, June, and July of 1988 and 1993, two years with contrasting extreme weather events during the summer: a drought through the midwestern states of the US in 1988, and heavy rains and flooding through the same region in 1993.This visualization shows the total precipitation rate dataset produced by MERRA.This animation was created as part of a presentation for the NASA Center for Climate Simulation (NCCS) hyperwall display. This is a set of tiled high definition displays consisting of 5 displays across by 3 displays down. The full resolution of all combined displays is 6840 pixels accross by 2304 pixels down. For the full presentation, see the link below. || ", "hits": 17 }, { "id": 3433, "url": "https://svs.gsfc.nasa.gov/3433/", "result_type": "Visualization", "release_date": "2007-06-11T00:00:00-04:00", "title": "Rise of the Three Gorges Dam", "description": "Some call it the eighth wonder of world; others say it's the next Great Wall of China. Upon completion in 2009, the Three Gorges Dam will be the world's largest hydroelectric power generator. One of the few man-made structures so enormous that it's actually visible to the naked eye from space, NASA's Landsat satellite has had a closer look, providing detailed, vivid views of the dam since its inception in 1994. The dam is built along the Yangtze River, the third largest in the world, stretching more than 3,900 miles across China before reaching its mouth near Shanghai. Historically, the river has been prone to massive flooding, overflowing its banks about once every ten years. During the 20th century alone, Chinese authorities estimate that some 300,000 people were killed from Yangtze River floods. The dam is designed to greatly improve flood control on the river and protect the 15 million people and 3.7 million acres of farmland in the lower Yangtze flood plains. Observations from the NASA-built Landsat satellites provide an overview of the dam's construction. The earliest data set, from 1987, shows the region prior to start of construction. By 2000, construction along each riverbank was underway, but sediment-filled water still flowed through a narrow channel near the river's south bank. The 2004 data shows development of the main wall and the partial filling of the reservoir, including numerous side canyons. By mid-2006, construction of the main wall was completed and a reservoir more than 2 miles (3 kilometers) across had filled just upstream of the dam. To read more about the Three Gorges Dam, please click here. This animation was designed in three parts: Part 1: The first part of this animation zooms in to the Three Gorges Dam and travels backward and forward through time emphasizing the dam construction and filling of the reservoir. This animation then continues seemlessly into Part 2. Part 2: Starting where Part 1 leaves off, the camera flies up the 2006 data showing the high water levels that have already filled the multiple gorges upstream. Part 3: Identical to Part 2, except showing the 1987 data prior to the dam construction. || ", "hits": 1705 }, { "id": 3352, "url": "https://svs.gsfc.nasa.gov/3352/", "result_type": "Visualization", "release_date": "2006-04-04T00:00:00-04:00", "title": "Before and During the Great Mississippi Flood of 1993", "description": "During the first half of 1993, heavy rains in the Midwest United States caused the greatest flood ever recorded on the Upper Mississippi. The Mississippi River remained above flood stage from April through September of that year, and many of the dykes and water control systems along the rivers in this region were overwhelmed. These images from the Landsat-5 Thematic Mapper clearly show the flooded regions near St. Louis. The pink areas near the flooded regions show the scoured land from which the flood waters have receded. A comparison of the image during the flood with an image from a year before clearly shows the preponderance of cultivated fields in the lowland flooded region, evidence that floods and river meanderings have deposited rich soil in these regions in the past. || ", "hits": 90 }, { "id": 3022, "url": "https://svs.gsfc.nasa.gov/3022/", "result_type": "Visualization", "release_date": "2004-09-29T12:00:00-04:00", "title": "Hurricanes Frances, Ivan, and Jeanne Bring Record Rainfall", "description": "This animation shows the daily rain accumulation between September 2 and 28, 2004. Areas of red show where at least 3 inches of accumulated rain were recorded. Areas of yellow show 1 inch of accumulated rain. The green path represents the track of Hurricane Frances from August 25, 2004 to September 9, 2004. The red line represents the track of Hurricane Ivan from September 2, 2004 to September 23, 2004. Purple is Hurricane Jeanne from September 13, 2004 to September 28, 2004. || triplePusha.1100.jpg (720x486) [69.9 KB] || rain_accumulation_640x480_pre.jpg (320x240) [11.1 KB] || rain_accumulation_320x240_pre.jpg (320x240) [11.4 KB] || rain_accumulation_640x480.webmhd.webm (960x540) [998.6 KB] || 720x486_4x3_29.97p (720x486) [16.0 KB] || rain_accumulation_640x480.mpg (640x480) [3.8 MB] || rain_accumulation_320x240.mpg (320x240) [1010.3 KB] || ", "hits": 41 }, { "id": 2571, "url": "https://svs.gsfc.nasa.gov/2571/", "result_type": "Visualization", "release_date": "2002-10-07T12:00:00-04:00", "title": "Southeastern Texas Floods: 24 June 2002 (before)", "description": "Rivers near San Antonio, Texas are difficult to distinguish before the flooding of July 2002. After the floods, the swollen rivers are easy to discern. || Southeastern Texas before flood: 24 June 2002 || Texas.flood.beforeWide.jpg (1600x1080) [527.3 KB] || Texas.flood.beforeWide_web.jpg (320x216) [19.5 KB] || Texas.flood.beforeWide_thm.png (80x40) [6.6 KB] || Texas.flood.beforeWide_web_searchweb.jpg (320x180) [113.8 KB] || Texas.flood.beforeWide.tif (1600x1080) [3.5 MB] || ", "hits": 17 }, { "id": 2572, "url": "https://svs.gsfc.nasa.gov/2572/", "result_type": "Visualization", "release_date": "2002-10-07T12:00:00-04:00", "title": "Southeastern Texas Floods: 8 July 2002 (after)", "description": "Rivers near San Antonio, Texas are difficult to distinguish before the flooding of July 2002. After the floods, the swollen rivers are easy to discern. || Southeastern Texas after flood: 8 July 2002 || Texas.flood.afterWide.jpg (1600x1080) [695.8 KB] || Texas.flood.afterWide_web.jpg (320x216) [22.2 KB] || Texas.flood.afterWide_thm.png (80x40) [6.8 KB] || Texas.flood.afterWide_web_searchweb.jpg (320x180) [128.0 KB] || Texas.flood.afterWide.tif (1600x1080) [4.4 MB] || ", "hits": 16 }, { "id": 2560, "url": "https://svs.gsfc.nasa.gov/2560/", "result_type": "Visualization", "release_date": "2002-09-26T12:00:00-04:00", "title": "Flooding in China (Before and After)", "description": "Flooding in China which may be related to the weather effects of black carbon aerosols in the region. || Simple dissolve from pre-flood to post-flood view. || a002560.00100_print.png (720x480) [556.8 KB] || flood60_pre.jpg (320x240) [11.3 KB] || a002560.webmhd.webm (960x540) [1.5 MB] || a002560.dv (720x480) [27.2 MB] || flood60.mpg (320x240) [284.7 KB] || ", "hits": 24 }, { "id": 2499, "url": "https://svs.gsfc.nasa.gov/2499/", "result_type": "Visualization", "release_date": "2002-08-15T12:00:00-04:00", "title": "The First Day In The Life of Aqua/MODIS", "description": "In its first day of operations, June 24, 2002, Aqua/MODIS observed significant Earth events occurring all over the globe. As Super Typhoon Chataan was rapidly approaching Japan, there was severe flooding in southeast Texas and a vast, thick pall of smoke from Canadian wildfires blanketed almost the entire U.S. East Coast. MODIS collected and beamed to Earth these images in very near real-time. || ", "hits": 14 }, { "id": 2500, "url": "https://svs.gsfc.nasa.gov/2500/", "result_type": "Visualization", "release_date": "2002-08-15T12:00:00-04:00", "title": "Flooding in Southeast Texas", "description": "Southeast of San Antonio, Texas, rivers that were barely discernible in satellite imagery acquired in late June 2002 by Terra MODIS stand out clearly this Aqua MODIS image from July 24, 2002. Heavy rains during the first week of July brought as much as 2 feet of rain to some places in southeastern Texas, resulting in massive flooding of three major river systems along the Gulf of Mexico. Please note that this story is in relation to the 'Before the Flooding in Southeast Texas' story and is match-framed for dissolves in post production. || ", "hits": 12 }, { "id": 2501, "url": "https://svs.gsfc.nasa.gov/2501/", "result_type": "Visualization", "release_date": "2002-08-15T12:00:00-04:00", "title": "Before the Flooding in Southeast Texas", "description": "Southeast of San Antonio, Texas, rivers that were barely discernible in satellite imagery acquired in this late June 2002 by Terra MODIS stand out clearly in the congruent Aqua MODIS image from July 24, 2002. Heavy rains during the first week of July brought as much as 2 feet of rain to some places in southeastern Texas, resulting in massive flooding of three major river systems along the Gulf of Mexico. Please note that this story is in relation to the 'Flooding in Southeast Texas' story and is match-framed for dissolves in post production. || ", "hits": 15 }, { "id": 2030, "url": "https://svs.gsfc.nasa.gov/2030/", "result_type": "Visualization", "release_date": "2000-12-18T12:00:00-05:00", "title": "TRMM: Covering Mozambique Flooding Using Daily Rainfall Measurements.", "description": "Red indicates areas of high rainfall. Blue indicates areas of low rainfall. Mozambique underwent major flooding during this time period. || ", "hits": 10 }, { "id": 2026, "url": "https://svs.gsfc.nasa.gov/2026/", "result_type": "Visualization", "release_date": "2000-12-11T12:00:00-05:00", "title": "TRMM: Covers Hurricane Floyd over North Carolina Using Daily Rainfall Measurements", "description": "TRMM daily rainfall measurements over the east coast (i.e., North Carolina) during Hurricane Floyd from 2/19/99 through 9/17/99. Red indicates areas of high rainfall. Blue indicates areas of low rainfall. North Carolina experienced major flooding during this time period. || ", "hits": 30 }, { "id": 2027, "url": "https://svs.gsfc.nasa.gov/2027/", "result_type": "Visualization", "release_date": "2000-12-11T12:00:00-05:00", "title": "TRMM: Covering Hurricane Floyd over North Carolina Using Monthly Average Rainfall Measurements", "description": "Monthly average rainfall measurements covering the East Coast (especially North Carolina) during Hurricane Floyd, from October 1998 through September 1999. || ", "hits": 26 }, { "id": 2028, "url": "https://svs.gsfc.nasa.gov/2028/", "result_type": "Visualization", "release_date": "2000-12-11T12:00:00-05:00", "title": "TRMM: Covers Hurricane Mitch over Honduras Using Daily Rainfall Measurements", "description": "TRMM daily rainfall measurements covering Honduras during Hurricane Mitch, from 4/7/98 through 11/5/98. Red indicates areas of high rainfall. Blue indicates areas of low rainfall. Honduras experienced major flooding during this time period. || ", "hits": 23 }, { "id": 2029, "url": "https://svs.gsfc.nasa.gov/2029/", "result_type": "Visualization", "release_date": "2000-12-11T12:00:00-05:00", "title": "TRMM: Covers Hurricane Mitch over Honduras Using Monthly Average Rainfall Measurements", "description": "Monthly average rainfall measurements over Honduras during Hurricane Mitch, from January 1998 through October 1998. || ", "hits": 16 }, { "id": 2031, "url": "https://svs.gsfc.nasa.gov/2031/", "result_type": "Visualization", "release_date": "2000-12-11T12:00:00-05:00", "title": "TRMM: Covers Mozambique Flooding Using Monthly Moving Average Rainfall Measurements", "description": "Monthly average rainfall measurements covering the Mozambique floods, from March 1999 through February 2000. || ", "hits": 23 }, { "id": 2002, "url": "https://svs.gsfc.nasa.gov/2002/", "result_type": "Visualization", "release_date": "2000-10-10T12:00:00-04:00", "title": "Terra/MODIS Views Flooding in Vietnam", "description": "View from the Terra/MODIS instrument of the flooding in Vietnam, Summer 2000. Ground coloration in the image was altered to enhance visibility of flooding. || Movie showing the change in water coverage in Vietnam from June to September of 2000. || a002002.00005_print.png (720x480) [484.5 KB] || a002002_pre.jpg (320x242) [9.2 KB] || a002002.webmhd.webm (960x540) [1.1 MB] || a002002.dv (720x480) [27.4 MB] || a002002.mp4 (640x480) [1.4 MB] || a002002.mpg (352x240) [6.6 MB] || ", "hits": 12 }, { "id": 615, "url": "https://svs.gsfc.nasa.gov/615/", "result_type": "Visualization", "release_date": "1999-11-17T12:00:00-05:00", "title": "SeaWiFS - North Carolina Flooding after Hurricane Floyd\n(Sept. 23, 1999)", "description": "SeaWiFS - North Carolina Flooding after Hurricane Floyd(Sept. 23, 1999) || a000615.00005_print.png (720x480) [709.2 KB] || a000615_thm.png (80x40) [6.2 KB] || a000615_pre.jpg (320x242) [15.3 KB] || a000615_pre_searchweb.jpg (320x180) [92.5 KB] || a000615.webmhd.webm (960x540) [3.8 MB] || a000615.dv (720x480) [61.8 MB] || a000615.mp4 (640x480) [3.4 MB] || a000615.mpg (352x240) [2.4 MB] || ", "hits": 41 }, { "id": 597, "url": "https://svs.gsfc.nasa.gov/597/", "result_type": "Visualization", "release_date": "1999-04-22T12:00:00-04:00", "title": "North Carolina Floods from Landsat: September 23, 1999", "description": "North Carolina Floods September 23, 1999 || a000597.00005_print.png (720x480) [532.5 KB] || a000597_thm.png (80x40) [5.7 KB] || a000597_pre.jpg (320x242) [10.0 KB] || a000597_pre_searchweb.jpg (320x180) [68.2 KB] || a000597.webmhd.webm (960x540) [11.7 MB] || a000597.dv (720x480) [164.8 MB] || a000597.mp4 (640x480) [9.0 MB] || a000597.mpg (352x240) [6.2 MB] || ", "hits": 52 }, { "id": 664, "url": "https://svs.gsfc.nasa.gov/664/", "result_type": "Visualization", "release_date": "1999-04-09T12:00:00-04:00", "title": "Mississippi River During the Flood of September 1993", "description": "A flyby of the Mississippi River during the floods of September, 1993, from Landsat data || a000664.00005_print.png (720x480) [751.6 KB] || a000664_thm.png (80x40) [5.9 KB] || a000664_pre.jpg (320x238) [12.8 KB] || a000664_pre_searchweb.jpg (320x180) [86.5 KB] || a000664.webmhd.webm (960x540) [13.3 MB] || a000664.dv (720x480) [197.1 MB] || a000664.mp4 (640x480) [10.6 MB] || a000664.mpg (352x240) [7.3 MB] || ", "hits": 62 }, { "id": 929, "url": "https://svs.gsfc.nasa.gov/929/", "result_type": "Visualization", "release_date": "1999-04-09T12:00:00-04:00", "title": "Flooding of the Missouri River. Before (Sept 1992) and during/after (Sept 1993)", "description": "The three river scenes shown here are from central Missouri near Gasconade, Rocheport, and the confluence of the Grand River. The first in each pair was in September, 1992, the second in September of 1993. Notice the farmland in the river flood plain. The data uses Landsat TM bands 5, 4, and 2 mapped to red, green, and blue respectively. Bare soil and plowed land appears red, vegetation (which reflects very strongly in the near infrared) appears green, and water is dark blue. The perspective in each of these images is looking approximately westward, which is upstream. || ", "hits": 72 }, { "id": 949, "url": "https://svs.gsfc.nasa.gov/949/", "result_type": "Visualization", "release_date": "1999-04-09T12:00:00-04:00", "title": "Missouri River in Central Missouri, Wide Angle View From Above, September 1992 (Version A)", "description": "A wide angle view of the Missouri River in central Missouri, in September 1992, before the floods. || A Landsat image of the Missouri River from September, 1992 || a000949_still.jpg (720x528) [79.2 KB] || a000949_pre.jpg (320x238) [6.0 KB] || a000949_thm.png (80x40) [4.3 KB] || a000949_pre_searchweb.jpg (320x180) [52.2 KB] || ", "hits": 35 }, { "id": 952, "url": "https://svs.gsfc.nasa.gov/952/", "result_type": "Visualization", "release_date": "1999-04-09T12:00:00-04:00", "title": "Gasconade, Missouri, on the Missouri River, Flooded (Version A)", "description": "A Landsat image of the flooded Missouri River around Gasconade, Missouri, from September, 1993 || a000952_still.jpg (720x528) [74.7 KB] || a000952_pre.jpg (320x238) [6.2 KB] || a000952_thm.png (80x40) [4.5 KB] || a000952_pre_searchweb.jpg (320x180) [51.3 KB] || ", "hits": 39 }, { "id": 954, "url": "https://svs.gsfc.nasa.gov/954/", "result_type": "Visualization", "release_date": "1999-04-09T12:00:00-04:00", "title": "Jefferson City, Missouri, on the Missouri River, Flooded (Version A)", "description": "A Landsat image of the flooded Missouri River around Jefferson City, Missouri, from September, 1993 || a000954_still.jpg (720x528) [76.9 KB] || a000954_pre.jpg (320x238) [6.1 KB] || a000954_thm.png (80x40) [4.4 KB] || a000954_pre_searchweb.jpg (320x180) [49.8 KB] || ", "hits": 42 }, { "id": 956, "url": "https://svs.gsfc.nasa.gov/956/", "result_type": "Visualization", "release_date": "1999-04-09T12:00:00-04:00", "title": "Rocheport, Missouri, on the Missouri River, Flooded (Version A)", "description": "A Landsat image of the flooded Missouri River around Rocheport, Missouri, from September, 1993 || a000956_still.jpg (720x528) [80.5 KB] || a000956_pre.jpg (320x238) [6.5 KB] || a000956_thm.png (80x40) [4.5 KB] || a000956_pre_searchweb.jpg (320x180) [54.2 KB] || ", "hits": 44 }, { "id": 958, "url": "https://svs.gsfc.nasa.gov/958/", "result_type": "Visualization", "release_date": "1999-04-09T12:00:00-04:00", "title": "Grand River Junction on the Missouri River, Flooded (Version A)", "description": "A Landsat image of the flooded Missouri River around Grand River Junction, Missouri, from September, 1993 || a000958_still.jpg (720x528) [80.7 KB] || a000958_pre.jpg (320x238) [6.5 KB] || a000958_thm.png (80x40) [4.5 KB] || a000958_pre_searchweb.jpg (320x180) [55.0 KB] || ", "hits": 54 }, { "id": 960, "url": "https://svs.gsfc.nasa.gov/960/", "result_type": "Visualization", "release_date": "1999-04-09T12:00:00-04:00", "title": "Mississippi River near St. Louis, November, 1993", "description": "Mississippi River near St. Louis, November, 1993 (several months after the peak of the floods), Thematic Mapper bands 5, 4, and 2 were used. || ", "hits": 42 }, { "id": 961, "url": "https://svs.gsfc.nasa.gov/961/", "result_type": "Visualization", "release_date": "1999-04-09T12:00:00-04:00", "title": "Full Screen Version of Missouri River during Flood", "description": "A flyby of the Missouri River during the floods of August, 1993 || a000961.00005_print.png (720x480) [474.0 KB] || a000961_thm.png (80x40) [4.5 KB] || a000961_pre.jpg (320x238) [6.9 KB] || a000961_pre_searchweb.jpg (320x180) [52.1 KB] || a000961.webmhd.webm (960x540) [9.1 MB] || a000961.dv (720x480) [142.7 MB] || a000961.mp4 (640x480) [7.6 MB] || a000961.mpg (352x240) [4.9 MB] || ", "hits": 87 }, { "id": 962, "url": "https://svs.gsfc.nasa.gov/962/", "result_type": "Visualization", "release_date": "1999-04-09T12:00:00-04:00", "title": "Full Screen Version of Missouri River before Flood", "description": "A flyby of the Missouri River in August 1991, two years before the floods || a000962.00005_print.png (720x480) [451.7 KB] || a000962_thm.png (80x40) [4.2 KB] || a000962_pre.jpg (320x238) [6.1 KB] || a000962_pre_searchweb.jpg (320x180) [47.8 KB] || a000962.webmhd.webm (960x540) [8.5 MB] || a000962.dv (720x480) [142.1 MB] || a000962.mp4 (640x480) [7.8 MB] || a000962.mpg (352x240) [4.9 MB] || ", "hits": 52 }, { "id": 963, "url": "https://svs.gsfc.nasa.gov/963/", "result_type": "Visualization", "release_date": "1999-04-09T12:00:00-04:00", "title": "Mississippi River before the flood, in August, 1991", "description": "To create this visualization Thematic Mapper bands 5, 4, and 2 were used. || A flyby of the Mississippi River in August, 1991, before the floods || a000963.00005_print.png (720x480) [543.7 KB] || a000963_thm.png (80x40) [4.7 KB] || a000963_pre.jpg (320x238) [8.1 KB] || a000963_pre_searchweb.jpg (320x180) [60.8 KB] || a000963.webmhd.webm (960x540) [13.7 MB] || a000963.dv (720x480) [193.6 MB] || a000963.mp4 (640x480) [10.5 MB] || a000963.mpg (352x240) [6.8 MB] || ", "hits": 48 }, { "id": 249, "url": "https://svs.gsfc.nasa.gov/249/", "result_type": "Visualization", "release_date": "1998-08-20T12:00:00-04:00", "title": "Flyover and Zoom to Yangtze Floods: August 4, 1998", "description": "Fly-over the Yangtze River in flood (4 Aug 1998). || preview_made_from_dv.00870_print.png (640x480) [433.0 KB] || yangtze_flyover_pre.jpg (320x240) [11.5 KB] || a000249_pre.jpg (320x238) [12.8 KB] || a000249_flyover.webmhd.webm (960x540) [4.8 MB] || a000249_flyover.mp4 (640x480) [5.8 MB] || a000249_flyover.dv (720x480) [101.5 MB] || yangtze_flyover.mov (320x240) [2.4 MB] || a000249.mpg (352x240) [6.4 MB] || ", "hits": 51 }, { "id": 250, "url": "https://svs.gsfc.nasa.gov/250/", "result_type": "Visualization", "release_date": "1998-08-20T12:00:00-04:00", "title": "Flyover of Songhua Floods: August 20, 1998", "description": "Zoom down to the Songhua River in Northern China in flood, taken by SeaWiFS on August 20, 1998 || a000250.00010_print.png (720x480) [715.3 KB] || songhua_flood_pre.jpg (320x240) [15.2 KB] || a000250_pre.jpg (320x238) [16.6 KB] || a000250.webmhd.webm (960x540) [5.3 MB] || a000250.dv (720x480) [72.7 MB] || a000250.mp4 (640x480) [4.2 MB] || songhua_flood.mov (320x240) [1.6 MB] || a000250.mpg (352x240) [2.0 MB] || ", "hits": 18 } ] }