{ "count": 31, "next": null, "previous": null, "results": [ { "id": 31325, "url": "https://svs.gsfc.nasa.gov/31325/", "result_type": "Hyperwall Visual", "release_date": "2024-11-18T00:00:00-05:00", "title": "GMAO vs GOES Radar Reflectivity", "description": "GMAO vs GOES Radar Reflectivity || 3840x2160_16x9_30p [0 Item(s)] || GMAO vs GOES Radar Reflectivity ||", "hits": 30 }, { "id": 31328, "url": "https://svs.gsfc.nasa.gov/31328/", "result_type": "Hyperwall Visual", "release_date": "2024-11-18T00:00:00-05:00", "title": "GMAO – US tornadoes", "description": "GMAO US Tornadoes || 3840x2160_16x9_30p [0 Item(s)] || US tornadoes || gmao-us-tornadoes_print.jpg (1024x576) [308.3 KB] || gmao-us-tornadoes.png (3840x2160) [14.1 MB] || gmao-us-tornadoes_searchweb.png (320x180) [111.9 KB] || gmao-us-tornadoes_thm.png (80x40) [7.0 KB] || gmao-us-tornadoes_1080p30.mp4 (1920x1080) [72.8 MB] || gmao-us-tornadoes_1080p30.webm (1920x1080) [4.3 MB] || gmao-us-tornadoes_2160p30.mp4 (3840x2160) [249.5 MB] ||", "hits": 23 }, { "id": 31309, "url": "https://svs.gsfc.nasa.gov/31309/", "result_type": "Hyperwall Visual", "release_date": "2024-09-23T00:00:00-04:00", "title": "GEOS-FP May 2024 US Tornado Outbreak", "description": "Visualization of model output for severe weather in May 2024 in the US || us_tornadoes_sw-2024-003.nasa.gmao.geos-fp.conus_2km_replay.max_uphelicity.2160p_print.jpg (1024x576) [347.0 KB] || us_tornadoes_sw-2024-003.nasa.gmao.geos-fp.conus_2km_replay.max_uphelicity.2160p.png (3840x2160) [12.0 MB] || us_tornadoes_sw-2024-003.nasa.gmao.geos-fp.conus_2km_replay.max_uphelicity.2160p_searchweb.png (320x180) [121.1 KB] || us_tornadoes_sw-2024-003.nasa.gmao.geos-fp.conus_2km_replay.max_uphelicity.2160p_thm.png (80x40) [8.1 KB] || us_tornadoes_sw-2024-003.nasa.gmao.geos-fp.conus_2km_replay.max_uphelicity.1080p.webm (1080x1080) [10.9 MB] || us_tornadoes_sw-2024-003.nasa.gmao.geos-fp.conus_2km_replay.max_uphelicity.1080p.mp4 (1080x1080) [110.9 MB] || us_tornadoes_sw-2024-003.nasa.gmao.geos-fp.conus_2km_replay.max_uphelicity.2160p.mp4 (3840x2160) [350.6 MB] || ", "hits": 42 }, { "id": 5174, "url": "https://svs.gsfc.nasa.gov/5174/", "result_type": "Visualization", "release_date": "2023-10-12T15:00:00-04:00", "title": "GPM Views Typhoon Bolaven", "description": "Typhoon Bolaven on October 10, 2023 at 13:11Z. || Bolaven_001.4300_print.jpg (1024x576) [291.1 KB] || Bolaven_001.4300_searchweb.png (320x180) [120.9 KB] || Bolaven_001.4300_thm.png (80x40) [8.7 KB] || Bolaven_001_1080p30.mp4 (1920x1080) [73.7 MB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || Bolaven_001_1080p30.webm (1920x1080) [5.9 MB] || Bolaven_001_1080p30.mp4.hwshow [185 bytes] || ", "hits": 33 }, { "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": 272 }, { "id": 14013, "url": "https://svs.gsfc.nasa.gov/14013/", "result_type": "Produced Video", "release_date": "2022-01-19T00:00:00-05:00", "title": "Elements of Webb: Super Black Ep11", "description": "Elements of Webb EP11: Super Black || SuperBlack_-_Dark.jpg (1920x1080) [1015.6 KB] || SuperBlack_-_Dark_print.jpg (1024x576) [430.6 KB] || SuperBlack_-_Dark_searchweb.png (320x180) [97.2 KB] || SuperBlack_-_Dark_web.png (320x180) [97.2 KB] || SuperBlack_-_Dark_thm.png (80x40) [7.7 KB] || 11-Elements_-_SuperBlack_draft_2.mp4 (1920x1080) [224.9 MB] || 11-Elements_-_SuperBlack_ProRes.mov (1920x1080) [3.1 GB] || 11-Elements_-_SuperBlack_draft_2.webm (1920x1080) [24.2 MB] || 11-Elements_-_SuperBlack.en_US.srt [3.9 KB] || 11-Elements_-_SuperBlack.en_US.vtt [3.9 KB] || ", "hits": 26 }, { "id": 13162, "url": "https://svs.gsfc.nasa.gov/13162/", "result_type": "Produced Video", "release_date": "2019-03-29T13:00:00-04:00", "title": "Flying Alaskan Glaciers", "description": "Flying low over some of the most dramatic landscapes on the planet, a cadre of scientists and pilots have been measuring changes in Alaskan glaciers as part of NASA’s Operation IceBridge for almost a decade. The team has seen significant change in ice extent and thickness over that time. Data from the mission was used in a 2015 study that put numbers on the loss of Alaskan glaciers: 75 billion tons of ice every year from 1994 to 2013. Last summer, Chris Larsen and Martin Truffer, both of the University of Alaska Fairbanks, flew with University of Arizona's Jack Holt and University of Texas student Michael Christoffersen. || OIB_Alaska_Final.00010_print.jpg (1024x576) [109.9 KB] || OIB_Alaska_Final.00010_searchweb.png (320x180) [96.3 KB] || OIB_Alaska_Final.00010_thm.png (80x40) [6.8 KB] || OIB_Alaska_Final.mp4 (1920x1080) [939.1 MB] || YOUTUBE_1080_OIB_Alaska_Final_youtube_1080.mp4 (1920x1080) [977.3 MB] || OIB_Alaska_Final.webm (1920x1080) [76.9 MB] || OIB_Alaska_Final.en_US.srt [12.6 KB] || OIB_Alaska_Final.en_US.vtt [12.6 KB] || ", "hits": 23 }, { "id": 13124, "url": "https://svs.gsfc.nasa.gov/13124/", "result_type": "Produced Video", "release_date": "2019-03-04T12:00:00-05:00", "title": "A Slice of Ice", "description": "Explore the first data results from the ICESat-2 satellite. || icesat2_orbit26.2100_1024x576.jpg (1024x576) [81.3 KB] || icesat2_orbit26.2100_print.jpg (1024x576) [89.7 KB] || icesat2_orbit26.2100_searchweb.png (320x180) [77.7 KB] || icesat2_orbit26.2100_thm.png (80x40) [5.2 KB] || icesat2_orbit26.2100.tif (1920x1080) [2.6 MB] || ", "hits": 51 }, { "id": 20285, "url": "https://svs.gsfc.nasa.gov/20285/", "result_type": "Animation", "release_date": "2018-10-24T00:00:00-04:00", "title": "Laser Communications Relay Demonstration (LCRD) Overview Video and Resources", "description": "Laser Communications Relay Demonstration Overview VideoMusic Credit: Universal Production MusicTrack 1: Time Shift EqualibriumTrack 2: Frames of MotionTrack 3: Inducing Waves || 20285_LCRD_Logo_2021.png (1674x939) [1.2 MB] || 20285_LCRD_Overview_2021_lowres.mp4 (1280x720) [35.5 MB] || 20285_LCRD_Overview_2021.mp4 (1920x1080) [202.4 MB] || 20285_LCRD_Overview_2021.mov (1920x1080) [3.5 GB] || 20285_LCRD_Overview_2021.webm (1920x1080) [18.2 MB] || 20285_LCRD_Overview_2021.en_US.srt [3.1 KB] || 20285_LCRD_Overview_2021.en_US.vtt [3.0 KB] || ", "hits": 134 }, { "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": 33 }, { "id": 12312, "url": "https://svs.gsfc.nasa.gov/12312/", "result_type": "Produced Video", "release_date": "2016-07-20T10:30:00-04:00", "title": "One Year In The Life of Earth", "description": "On July 20, 2015, NASA released to the world the first image of the sunlit side of Earth captured by the space agency's EPIC camera on NOAA's DSCOVR satellite. The camera has now recorded a full year of life on Earth from its orbit at Lagrange point 1, approximately 1 million miles from Earth, where it is balanced between the gravity of our home planet and the sun. EPIC takes a new picture every two hours, revealing how the planet would look to human eyes, capturing the ever-changing motion of clouds and weather systems and the fixed features of Earth such as deserts, forests and the distinct blues of different seas. EPIC will allow scientists to monitor ozone and aerosol levels in Earth’s atmosphere, cloud height, vegetation properties and the ultraviolet reflectivity of Earth.The primary objective of DSCOVR, a partnership between NASA, the National Oceanic and Atmospheric Administration (NOAA) and the U.S. Air Force, is to maintain the nation’s real-time solar wind monitoring capabilities, which are critical to the accuracy and lead time of space weather alerts and forecasts from NOAA.For more information about DSCOVR, visit: http://www.nesdis.noaa.gov/DSCOVR/. To view all the pictures EPIC has taken, visit https://epic.gsfc.nasa.gov. || ", "hits": 453 }, { "id": 4354, "url": "https://svs.gsfc.nasa.gov/4354/", "result_type": "Visualization", "release_date": "2015-09-04T10:00:00-04:00", "title": "Tropical Storm Fred", "description": "Animation of Tropical Storm Fred via GPM on August 30, 2015 at 0236 UTC. || fred.0280_print.jpg (1024x576) [162.5 KB] || fred_1080p30.mp4 (1920x1080) [16.5 MB] || 1920x1080_16x9_30p (1920x1080) [32.0 KB] || fred_1080p30.webm (1920x1080) [3.1 MB] || ", "hits": 28 }, { "id": 30610, "url": "https://svs.gsfc.nasa.gov/30610/", "result_type": "Hyperwall Visual", "release_date": "2015-07-20T00:00:00-04:00", "title": "EPIC View of Earth", "description": "Images from DSCOVR have been prepared for use on the Hyperwall. On July 6, 2015, a NASA camera onboard the Deep Space Climate Observatory (DSCOVR) satellite returned its first view of the entire sunlit side of Earth from its orbit at the first Lagrange point (L1), about one million miles from Earth. This initial image, taken by DSCOVR’s Earth Polychromatic Imaging Camera (EPIC), shows the effects of sunlight scattered by air molecules, giving the image a characteristic bluish tint. Once the instrument begins regular data acquisition, images will be available every day, 12 to 36 hours after they are acquired by EPIC. Data from EPIC will be used to measure ozone and aerosol levels in Earth’s atmosphere, cloud height, vegetation properties, and the ultraviolet reflectivity of Earth. NASA will use these data for a number of Earth science applications, including dust and volcanic ash maps of the entire planet.A second image, taken on July 6, 2015, is centred on central Europe and northern Africa. The primary objective of DSCOVR, a partnership between NASA, the National Oceanic and Atmospheric Administration (NOAA), and the U.S. Air Force, is to maintain the nation’s real-time solar wind monitoring capabilities, which are critical to the accuracy and lead time of space weather alerts and forecasts from NOAA. || ", "hits": 707 }, { "id": 4320, "url": "https://svs.gsfc.nasa.gov/4320/", "result_type": "Visualization", "release_date": "2015-06-29T00:00:00-04:00", "title": "Sudd Wetlands Water Cycle", "description": "Sudd Wetlands Water Cycle || nile_revisited.2574_print.jpg (1024x576) [211.9 KB] || nile_revisited.2574_searchweb.png (320x180) [109.2 KB] || nile_revisited.2574_thm.png (80x40) [7.3 KB] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || nile_revisited_1080p30.webm (1920x1080) [12.1 MB] || nile_revisited_1080p30.mp4 (1920x1080) [99.5 MB] || nile_revisited_1080p30.mp4.hwshow [188 bytes] || ", "hits": 28 }, { "id": 4245, "url": "https://svs.gsfc.nasa.gov/4245/", "result_type": "Visualization", "release_date": "2014-12-17T13:00:00-05:00", "title": "Link between Sea-Ice Fraction and Absorbed Solar Radiation over the Arctic Ocean", "description": "NASA satellite instruments have observed a marked increase in solar radiation absorbed in the Arctic since the year 2000 – a trend that aligns with the drastic decrease in Arctic sea ice during the same period. This visual shows the Arctic Sea Ice Change and the corresponding Absorbed Solar Radiation Change during June, July, and August from 2000 through 2014.This video is also available on our YouTube channel. || seaice_solarAbsorption_0344_print.jpg (1024x576) [117.1 KB] || SeaIceSolarAbsorptionChange.webm (1920x1080) [1.2 MB] || 1920x1080_16x9_60p (1920x1080) [0 Item(s)] || SeaIceSolarAbsorptionChange.mp4 (1920x1080) [12.1 MB] || composite (1920x1080) [0 Item(s)] || source (1920x1080) [0 Item(s)] || SeaIceSolarAbsorptionChange.m4v (640x360) [2.1 MB] || ", "hits": 63 }, { "id": 10278, "url": "https://svs.gsfc.nasa.gov/10278/", "result_type": "Produced Video", "release_date": "2014-12-15T13:29:00-05:00", "title": "NASA's Fermi Helps Scientists Study Gamma-ray Thunderstorms", "description": "New research merging Fermi data with information from ground-based radar and lightning networks shows that terrestrial gamma-ray flashes arise from an unexpected diversity of storms and may be more common than currently thought. Watch this video on the NASA Goddard YouTube channel. For complete transcript, click here. || Florida_TGF_still_print.jpg (1024x576) [115.1 KB] || Florida_TGF_still.jpg (1280x720) [169.4 KB] || Florida_TGF_still_thm.png (80x40) [8.7 KB] || Florida_TGF_still_searchweb.png (320x180) [75.0 KB] || Florida_TGF_still_web.jpg (320x180) [20.8 KB] || G2014-107_Fermi_TGF_Radar_FINAL_appletv_subtitles.m4v (960x540) [66.4 MB] || 10278_Fermi_TGF_Radar_ProRes_1280x720_5994.mov (1280x720) [2.7 GB] || G2014-107_Fermi_TGF_Radar_FINAL_appletv.webm (960x540) [21.7 MB] || G2014-107_Fermi_TGF_Radar_FINAL_appletv.m4v (960x540) [66.5 MB] || 10278_Fermi_TGF_Radar_MPEG4_1280X720_2997.mp4 (1280x720) [36.8 MB] || G2014-107_Fermi_TGF_Radar_FINAL_1280x720.wmv (1280x720) [62.5 MB] || 10278_Fermi_TGF_Radar_H264_Good_1280x720_2997.mov (1280x720) [65.2 MB] || 10278_Fermi_TGF_Radar_H264_Best_1280x720_5994.mov (1280x720) [801.8 MB] || G2014-107_Fermi_TGF_Radar_FINAL_ipod_lg.m4v (640x360) [28.5 MB] || 10278_Fermi_TGF_Radar_SRT_Captions.en_US.vtt [3.7 KB] || 10278_Fermi_TGF_Radar_SRT_Captions.en_US.srt [3.7 KB] || G2014-107_Fermi_TGF_Radar_FINAL_ipod_sm.mp4 (320x240) [13.0 MB] || ", "hits": 76 }, { "id": 11509, "url": "https://svs.gsfc.nasa.gov/11509/", "result_type": "Produced Video", "release_date": "2014-03-25T01:00:00-04:00", "title": "GPM DPR First Light", "description": "Images and animation from the GPM DPR first light. || ", "hits": 35 }, { "id": 4035, "url": "https://svs.gsfc.nasa.gov/4035/", "result_type": "Visualization", "release_date": "2013-08-01T00:00:00-04:00", "title": "High Altitude Imaging Wind and Rain Profiler(HIWRAP) onboard the Genesis and Rapid Intensification Processes(GRIP) Experiment monitors Eye Wall Development", "description": "Wind measurements are crucial for understanding and forecasting tropical storms since they are closely tied to the overall dynamics of the storm. The dual-wavelength (Ku and Ka band) High-Altitude Imaging Wind and Rain Airborne Profiler (HIWRAP) flew for the first time on the Global Hawk Unmanned Aerial Vehicle (UAV) during the 2010 Genesis and Rapid Intensification Processes (GRIP).The HIWRAP is able to measure line-of-sight and ocean surface winds for a longer period of time than obtained by current satellites and lower-altitude instrumented aircraft. HIWRAP is conical scanning, and winds and reflectivity can be mapped within the swath below the Global Hawk. HIWRAP utilizes solid state transmitters along with a novel pulse compression scheme. This results in a system that is considerably more compact in size, requires less power, and ultimately costs significantly less than typical radars currently in use for clouds and precipitation observation. HIWRAP is able to image the winds through volume backscattering from clouds and precipitation, enabling it to measure the tropospheric winds above heavy rain at high levels. The first interesting case from the HIWRAP flights were the rapid intensification of Hurricane Karl on September 16 and 17, 2010. This visual will highlight the precipitation structure of this storms during their intensification as derived from the HIWRAP KU observations. Please note, the dimensions of the Global Hawk were exaggerated by a factor of 10 so the viewer could see the UAV. The Global Hawk actual dimensions are 44.4 ft (13.5 m) length by 116.2 ft. (35.4 m) wingspan by 15.2 ft (4.6 m) height. The movie starts as the Global Hawk flies over Hurricane Karl to reveal a Hot Tower. Hot towers are important to understanding hurricane intensification because they can carry hot moist air through the high layer of cirrus clouds above a hurricane. Hot towers are hard to study because they go so high and they do not last very long. In this movie, several of the paths have been placed in storm-centered coordinates and laid together to reveal the storm's hot towers and eyewall development. The structure of this storm is seen through reflectivity data where dbz is between 25 and 40.The HIWRAP data is colored based on the height. Red is 12 km, orange is 10 km, yellow is 7.5 km, green is 6 km, and blue is under 6 km.More information on GRIP and other elements of NASA's Hurricane and Severe Storm Sentinel project visit http://www.nasa.gov/HS3. || ", "hits": 26 }, { "id": 4036, "url": "https://svs.gsfc.nasa.gov/4036/", "result_type": "Visualization", "release_date": "2013-08-01T00:00:00-04:00", "title": "Global Hawk Takes High Altitude Imaging Wind and Rain Airborne Profiler (HIWRAP) Data", "description": "The dual-wavelength (Ku- and Ka-band) High Altitude Imaging Wind and Rain Airborne Profiler (HIWRAP) flew for the first time on the Global Hawk Unmanned Aerial Vehicle (UAV) during the 2010 Genesis and Rapid Intensification Processes (GRIP). The HIWRAP is able to measure line-of-sight and ocean surface winds for a longer period of time than obtained by current satellites and lower-altitude instrumented aircraft. HIWRAP is conical scanning, and winds and reflectivity can be mapped within the swath below the Global Hawk. This visual will highlight the UAV measuring Hurricane Karl's HIWRAP Ku-band observations on September 16 from 18:53:10 through 19:19:18. The dimensions of the Global Hawk were exaggerated by a factor of 10 so the viewer could see the UAV. The Global Hawk actual dimensions are 44.4 ft (13.5 m) length by 116.2 ft. (35.4 m) wingspan by 15.2 ft (4.6 m) height. The movie starts as the Global Hawk flies over Hurricane Karl to reveal a hot tower. Hot towers are important to understanding hurricane intensification because they can carry hot moist air through the high layer of cirrus clouds above a hurricane. Hot towers are hard to study because they go so high and they do not last very long. The structure of this storm is seen through reflectivity data where dbz is between 25 and 40. The HIWRAP data is colored based on the height from the surface. Red shows 12 km above sea level, orange is 10 km, yellow is 7.5 km, green is 6 km, and blue is under 6 km.For more information on GRIP and other elements of NASA's Hurricane and Severe Storm Sentinel project, visit http://www.nasa.gov/HS3. || ", "hits": 62 }, { "id": 4043, "url": "https://svs.gsfc.nasa.gov/4043/", "result_type": "Visualization", "release_date": "2013-03-06T11:00:00-05:00", "title": "LRO Peers into Permanent Shadows", "description": "The Moon's permanently shadowed regions, or PSRs, are places on the Moon that haven't seen the Sun in millions, or even billions, of years. The Earth's tilted axis allows sunlight to fall everywhere on its surface, even at the poles, for at least part of the year. But the Moon's tilt relative to the Sun is only 1.6°, not enough to get sunlight into some deep craters near the lunar north and south poles. PSRs are therefore some of the coldest, darkest places in the solar system.Because of that, PSRs are expected to be excellent traps for volatiles, chemicals that would normally vaporize and escape into space, and this includes water. Lunar Reconnaissance Orbiter (LRO) includes several instruments designed to peer into the PSR darkness and measure temperature, reflectivity, and neutron absorption, all of which are clues to what chemicals might be hiding there. This animation shows where the PSRs are and in what ways LRO can see inside them. || ", "hits": 547 }, { "id": 10850, "url": "https://svs.gsfc.nasa.gov/10850/", "result_type": "Produced Video", "release_date": "2011-12-27T00:00:00-05:00", "title": "Let It Snow", "description": "Seasonal snow cover, the cold mantle that wraps up to 40 percent of the land surface in the Northern Hemisphere during winter, does more than cause rejoicing for those who dream of a White Christmas. Snow plays a key role in the Earth's energy balance, reflecting most of the sunlight that reaches its surface back to space, preventing warming of the ground beneath. Snow also absorbs energy from the atmosphere during spring melt, keeping temperatures moderate. Satellite measurements of snow extent began in the 1960s, and this lengthy record shows a 10 percent decline in annual snow cover since 1966, mainly due to earlier spring melting. Darker, snow-free ground absorbs more solar radiation and emits more warmth to the atmosphere. The snow cover loss is also a concern for those who depend on snowmelt for drinking water. Watch the visualizations below, based on data from NASA's MODIS instrument, to see the dramatic variation in a year of Earth's snow cover. In the Northern Hemisphere, the first flakes fall in mid-September over Siberia and Alaska. By the end of February, snow cover starts its retreat northward. Antarctica is home to most of the Southern Hemisphere's snow, except for some white-capped peaks and seasonal mountain snowfall in South America and Africa. || ", "hits": 67 }, { "id": 10389, "url": "https://svs.gsfc.nasa.gov/10389/", "result_type": "Produced Video", "release_date": "2009-02-19T00:00:00-05:00", "title": "Aerosols Absorb; Aerosols Reflect", "description": "Some aerosol particles primarily reflect solar radiation and cool the atmosphere, and others can also absorb radiation and warm the surrounding air. When aerosols heat the atmosphere, they create an unstable environment where clouds can't thrive. The suppression of clouds leads to further warming of the atmosphere by solar radiation. Aerosols are a complex but critical piece of the climate puzzle, and researchers are still working to understand the role of these curious particles. || ", "hits": 181 }, { "id": 3179, "url": "https://svs.gsfc.nasa.gov/3179/", "result_type": "Visualization", "release_date": "2005-06-21T00:00:00-04:00", "title": "Scene Identification Compared to Clouds (WMS)", "description": "The Earth's climate is determined by energy transfer from the sun to the Earth's land, oceans, and atmosphere. As the Earth rotates, the sun lights up only part of the Earth at a time, and some of that incoming solar energy is reflected and some is absorbed, depending on type of area it lights. The amount of reflection and absorption is critical to the climate. An instrument named CERES orbits the Earth every 99 minutes and measures the reflected solar energy. This animation shows the scene identification as measured by CERES during 29 orbits on June 20 and 21 of 2003. By comparing the incoming solar radiation with the outgoing reflected and thermal radiation, it is possible to identify the type of area being viewed, whether it be land, clouds, ocean, or ice. This scene identification is used together with the radiation flux measurements to build up a complete picture of the Earth's energy budget over time. || ", "hits": 10 }, { "id": 3104, "url": "https://svs.gsfc.nasa.gov/3104/", "result_type": "Visualization", "release_date": "2005-02-01T12:00:00-05:00", "title": "Instantaneous Scene Identification (WMS)", "description": "The Earth's climate is determined by energy transfer from the sun to the Earth's land, oceans, and atmosphere. As the Earth rotates, the sun lights up only part of the Earth at a time, and some of that incoming solar energy is reflected and some is absorbed, depending on type of area it lights. The amount of reflection and absorption is critical to th e climate. An instrument named CERES orbits the Earth every 99 minutes and measures the reflected solar energy. This animation shows the scene identification as measured by CERES during 29 orbits on June 20 and 21 of 2003. By comparing the incoming solar radiation with the outgoing reflected and thermal radiation, it is possible to identify the type of area being viewed, whether it be land, clouds, ocean, or ice. This scene identification is used together with the radiation flux measurements to build up a complete picture of the Earth's energy budget over time. || ", "hits": 18 }, { "id": 20023, "url": "https://svs.gsfc.nasa.gov/20023/", "result_type": "Animation", "release_date": "2004-02-09T12:00:00-05:00", "title": "Ice Albedo: Black Soot and Snow", "description": "Black soot may contribute to melting glaciers and other ice on the planet and eventually a warmer Earth. Traveling potentially thousands of miles from its sources on air currents, this pollution eventually settles out of the air, onto land and into the oceans. On ice and snow, it darkens normally bright surfaces. Just as a white shirt keeps a person cooler in the summer than a black shirt, the vast stretches of polar ice covering much of the planet's top and bottom reflect large amounts of solar radiation falling on the planet's surface, helping regulate Earth's temperature. Soot lowers this albedo, or reflectivity, and the ice retains more heat, leading to increased melting.Soot-darkened ice retains more light, contributing to the process. As light is absorbed, the environment is heated, thus intensifying a feedback loop: a warmer planet yields more ice melting and thus an even warmer planet. || ", "hits": 214 }, { "id": 20022, "url": "https://svs.gsfc.nasa.gov/20022/", "result_type": "Animation", "release_date": "2004-02-05T12:00:00-05:00", "title": "Ice Albedo: Bright White Reflects Light", "description": "This animation provides a close perspective of the relationship between ice and solar reflectivity. As glaciers, the polar caps, and icebergs (shown here) melt, less sunlight gets reflected into space. Instead, the oceans and land absorb the light, thus raising the overall temperature and adding energy to a vicious circle. || ", "hits": 477 }, { "id": 20020, "url": "https://svs.gsfc.nasa.gov/20020/", "result_type": "Animation", "release_date": "2003-12-12T12:00:00-05:00", "title": "Ice Albedo-Close Up", "description": "This is a conceptual animation showing how melting ice on land and at sea, can affect the surrounding ocean water, changing both the chemistry and relative sea level. || ", "hits": 24 }, { "id": 20021, "url": "https://svs.gsfc.nasa.gov/20021/", "result_type": "Animation", "release_date": "2003-12-12T12:00:00-05:00", "title": "Ice Albedo - Global View", "description": "This is a conceptual animation showing how polar ice reflects light from the sun. As this ice begins to melt, less sunlight gets reflected into space. It is instead absorbed into the oceans and land, raising the overall temperature, and fueling further melting. || ", "hits": 100 }, { "id": 2477, "url": "https://svs.gsfc.nasa.gov/2477/", "result_type": "Visualization", "release_date": "2002-07-01T12:00:00-04:00", "title": "True Color MODIS Albedo Image Improves Climate Modeling", "description": "The MODIS instrument, flying aboard NASA's Terra and Aqua satellites, measures how much solar radiation is reflected by the Earth's surface almost every day over the entire planet. Zooming in on Africa's Sahara Desert and the Arabian Peninsula, MODIS observed considerable variability in reflectance across the region-from the darkest volcanic terrains to the brightest sand. This matches specific soil groups and rock types to MODIS-derived albedo measurements. This correlation is important because most current weather forecast models treat this region as if the surface is uniform and therefore reflects the same amount of light all across its wide expanse. However, the terrain across the Sahara Desert and Arabian Peninsula is actually quite varied. Darker surface features (like rocks and plant canopies) absorb more light than lighter surfaces (like sand) and therefore get hotter in the afternoon. Over the course of a day, these heating differences can set up atmospheric motions that influence global clouds and rain. || ", "hits": 31 }, { "id": 2214, "url": "https://svs.gsfc.nasa.gov/2214/", "result_type": "Visualization", "release_date": "2001-08-13T12:00:00-04:00", "title": "The Impact of Aerosols on Atmospheric Warming - Version 1", "description": "Bright and dark aerosols, combined with solar heating, create different effects in heating the atmosphere and heating the surface of the Earth. This animation zooms into the INDOEX region showing aerosol and solar reflectance (albedo) data from the Terra satellite, then displays how these inputs generate warming of the atmosphere (Atmospheric Forcing - red regions) and cooling of the surface (Surface Forcing - dark regions). Areas of missing data (due to clouds, etc.) are either black or transparent. || ", "hits": 9 }, { "id": 2230, "url": "https://svs.gsfc.nasa.gov/2230/", "result_type": "Visualization", "release_date": "2001-08-13T12:00:00-04:00", "title": "The Impact of Aerosols on Atmospheric Warming - Version 2", "description": "Bright and dark aerosols, combined with solar heating, create different effects in heating the atmosphere and heating the surface of the Earth. This animation zooms into the INDOEX region showing aerosol and solar reflectance (albedo) data from the Terra satellite, then displays how these inputs generate warming of the atmosphere (Atmospheric Forcing - red regions) and cooling of the surface (Surface Forcing - dark regions). Areas of missing data (due to clouds, etc.) are either black or transparent. || ", "hits": 7 } ] }