{ "count": 74, "next": null, "previous": null, "results": [ { "id": 31365, "url": "https://svs.gsfc.nasa.gov/31365/", "result_type": "Visualization", "release_date": "2026-03-01T18:59:59-05:00", "title": "The Earth System Science Spheres", "description": "A rotating sphere shows data from recent satellites representing four of the five science spheres: Atmosphere, Biosphere, Geosphere, and Hydrosphere.", "hits": 1372 }, { "id": 40539, "url": "https://svs.gsfc.nasa.gov/gallery/artemis-iiscience/", "result_type": "Gallery", "release_date": "2025-08-15T00:00:00-04:00", "title": "Moon Visualizations, Animations, Videos - Artemis II Lunar Science", "description": "While the Artemis II crew will be the first humans to test NASA’s Orion spacecraft in space, they will also conduct science investigations that will inform future deep space missions. During the 10-day past the Moon and back, the Orion capsule will fly by the far side of the Moon — the side that always faces away from Earth. During this three-hour period, astronauts will analyze and photograph geologic features, such as impact craters and ancient lava flows. They will rely on the extensive geology training they received in the classroom and in Moon-like places on Earth to describe nuances in shapes, textures, and colors — the type of information that reveals the geologic history of an area. These skills will be critical to exploring the Moon’s South Pole region through future missions.\n\nLearn more about Artemis II lunar science.\nLearn more about all Artemis II science experiments\nLearn more about the Moon at science.nasa.gov/moon.\n\n**Note: This page will be continually updated through the Artemis II mission. **\n\nMedia Contact: Lonnie Shekhtman NASA’s Goddard Space Flight Center in Greenbelt, Md.", "hits": 11913 }, { "id": 31267, "url": "https://svs.gsfc.nasa.gov/31267/", "result_type": "Hyperwall Visual", "release_date": "2023-11-28T00:00:00-05:00", "title": "Landsat and Sentinel NDVI, 2022", "description": "The Harmonized Landsat and Sentinel-2 (HLS) project is a NASA initiative aiming to produce a seamless surface reflectance record from the Operational Land Imager (OLI) and Multi-Spectral Instrument (MSI) aboard Landsat-8/9 and Sentinel-2A/B remote sensing satellites, respectively. These animations show a year's worth of HLS data near Columbus, Nebraska from 2022. One animation includes the cloudy scenes and the other has cloud-free or mostly cloud-free scenes. ||", "hits": 181 }, { "id": 31223, "url": "https://svs.gsfc.nasa.gov/31223/", "result_type": "Hyperwall Visual", "release_date": "2023-04-03T00:00:00-04:00", "title": "A Daily View of Earth", "description": "A year-long true color global animation of MODIS corrected reflectance. || MODIS_combined_CorrRefl_TrueColor_2023-02-20_print.jpg (1024x576) [276.9 KB] || MODIS_combined_CorrRefl_TrueColor_2023-02-20_searchweb.png (320x180) [127.8 KB] || MODIS_combined_CorrRefl_TrueColor_2023-02-20_thm.png (80x40) [19.9 KB] || modis_truecolor_labeled_2022-2023_1080p10.webm (1920x1080) [8.7 MB] || MODIS_combined_CorrRefl_TrueColor_2023-02-20.tif (3840x2160) [14.0 MB] || modis_truecolor_labeled (3840x2160) [32.0 KB] || modis_truecolor_labeled_2022-2023_1080p10.mp4 (1920x1080) [176.9 MB] || modis_truecolor_labeled_2022-2023_2160p10.mp4 (3840x2160) [799.1 MB] || modis_truecolor_labeled_2022-2023_1080p10.hwshow [123 bytes] || modis_truecolor_labeled_2022-2023_2160p10.hwshow [123 bytes] || ", "hits": 203 }, { "id": 14228, "url": "https://svs.gsfc.nasa.gov/14228/", "result_type": "Produced Video", "release_date": "2022-10-31T11:00:00-04:00", "title": "Clouds 101", "description": "Complete transcript available. || Screen_Shot_2022-10-19_at_1.52.39_PM_print.jpg (1024x578) [66.1 KB] || Screen_Shot_2022-10-19_at_1.52.39_PM.png (2844x1607) [3.9 MB] || Clouds_101_Lock.00001_searchweb.png (320x180) [34.8 KB] || Screen_Shot_2022-10-19_at_1.52.39_PM_searchweb.png (320x180) [66.0 KB] || Screen_Shot_2022-10-19_at_1.52.39_PM_web.png (320x180) [66.4 KB] || Screen_Shot_2022-10-19_at_1.52.39_PM_thm.png (80x40) [8.7 KB] || Clouds_101_audio_otter_ai.en_US.srt [9.6 KB] || Clouds_101_audio_otter_ai.en_US.vtt [9.6 KB] || Clouds_101_Lock.mp4 (1920x1080) [974.5 MB] || ", "hits": 34 }, { "id": 4849, "url": "https://svs.gsfc.nasa.gov/4849/", "result_type": "Visualization", "release_date": "2021-04-19T09:30:00-04:00", "title": "Godzilla Dust Storm", "description": "Visualization of the Godzilla Dust Storm during June 2020. || GodzillaShot1_1920x1080_60fps_2222_print.jpg (1024x576) [259.0 KB] || GodzillaShot1_1920x1080_60fps_2222_searchweb.png (320x180) [117.7 KB] || GodzillaShot1_1920x1080_60fps_2222_thm.png (80x40) [8.7 KB] || GlobalView (1920x1080) [0 Item(s)] || GlobalView (1920x1080) [0 Item(s)] || GodzillaShot1_1920x1080_60fps_2222.tif (1920x1080) [10.2 MB] || GodzillaShot1_1920x1080p30.webm (1920x1080) [8.7 MB] || GodzillaShot1_1920x1080p30.mp4 (1920x1080) [115.7 MB] || GlobalView (3840x2160) [0 Item(s)] || GodzillaShot1_3840x2160_60fps_2222.tif (3840x2160) [38.1 MB] || GlobalView (3840x2160) [0 Item(s)] || GodzillaShot1_3840x2160p30.mp4 (3840x2160) [377.9 MB] || GodzillaShot1_3840x2160p60.mp4 (3840x2160) [425.4 MB] || GodzillaShot1_1920x1080p30.mp4.hwshow [192 bytes] || ", "hits": 220 }, { "id": 20340, "url": "https://svs.gsfc.nasa.gov/20340/", "result_type": "Animation", "release_date": "2021-03-22T11:00:00-04:00", "title": "Landsat 9 Atmospheric Correction", "description": "Landsat collects light in visible and infrared wavelengths. Sunlight reflects off Earth’s surface, and scientists identify the land cover based on which wavelengths are reflected strongly or weakly.But sunlight is also reflected by particles in the atmosphere, which distorts the data and can lead to what looks like a haze in the imagery. Using basic principles of physics, and knowing the meteorological conditions, scientists can determine the effects of the scattering and absorption as light passes through the atmosphere. This atmospheric correction is essential to determining exactly how much of each wavelength reflected of the features of the surface, and having quantifiable data.The videos below show different examples of atmospheric scattering which need to be accounted for when doing atmospheric correction of satellite data. In these cases, it is for observations over water. The resulting atmospheric corrections are part of the process for the new Landsat Aquatic Reflectance data product. Landsat’s highly calibrated data products, free to download and use, are making detailed Earth-observation data more accessible to users and bringing a greater benefit to society. || ", "hits": 63 }, { "id": 40372, "url": "https://svs.gsfc.nasa.gov/gallery/moonpole/", "result_type": "Gallery", "release_date": "2019-05-10T00:00:00-04:00", "title": "The Moon's South Pole", "description": "This is a collection of the media resources available on the Scientific Visualization Studio website related to the south pole of the Moon, an area of special interest for future exploration. It has been studied intensively by every instrument aboard Lunar Reconnaissance Orbiter (LRO). It includes cold, permanently shadowed craters that have collected water and other volatiles and shielded them from the Sun. Its rugged terrain also offers temperate high spots with persistent sunshine ideal for continuous solar power generation. More information and media are available at\nLRO Camera Images (search for south pole)\nLRO Diviner temperature measurements\nLyman-Alpha Map\n", "hits": 1670 }, { "id": 40348, "url": "https://svs.gsfc.nasa.gov/gallery/esddatafor-societal-benefits/", "result_type": "Gallery", "release_date": "2018-04-24T00:00:00-04:00", "title": "ESD data for Societal Benefit", "description": "No description available.", "hits": 228 }, { "id": 12770, "url": "https://svs.gsfc.nasa.gov/12770/", "result_type": "Produced Video", "release_date": "2018-03-19T18:00:00-04:00", "title": "Harmonized Landsat 8 and Sentinel-2 Data", "description": "Landsat 8 and Sentinel-2 satellites have spectral and spatial similarities that make using their data together possible. When the data are used together observations can be more timely and accurate. The HLS project is an effort to \"harmonize\" the data of the two satellite programs so that they can be more easily used in unison. The ultimate goal is to obtain seamless 2-3 day global surface reflectance coverage at 30 meters that removes residual differences between the sensors due to spectral bandpass and view geometry. Currently the v1.3 HLS data set encompasses 82 global test sites that cover about 7% of the global land area.Using the processing power of the NASA Earth Exchange (NEX) computer cluster at NASA Ames, the HLS workflow atmospherically corrects data from the satellites, geographically tiles the Landsat data in a manor matching the Sentinel-2 tiling, and then corrects for different sensor view angles (Bidirectional Reflectance Distribution Function, or BRDF) and does a slight band pass adjustment for the Sentinel-2 data to create the harmonized 30-meter product.The HLS team includes researchers from NASA Goddard Space Flight Center, the University of Maryland, and NASA Ames Research Center. || ", "hits": 94 }, { "id": 40337, "url": "https://svs.gsfc.nasa.gov/gallery/lrosolar-eclipse/", "result_type": "Gallery", "release_date": "2017-07-17T00:00:00-04:00", "title": "LRO and Solar Eclipse Events", "description": "This page features videos for the 2017 Solar Eclipse Events being coordinated with the LRO Mission production team.", "hits": 150 }, { "id": 4574, "url": "https://svs.gsfc.nasa.gov/4574/", "result_type": "Visualization", "release_date": "2017-05-31T10:00:00-04:00", "title": "Temperature, Reflectance Point to Frost near the Moon's Poles", "description": "A view of the south pole of the Moon showing where reflectance and temperature data indicate the possible presence of surface water ice. Includes music and narration. Music by Killer Tracks: Full Charge - Zubin Thakkar. || 4574_LROMoonFrost_YouTube.00780_print.jpg (1024x576) [236.8 KB] || 4574_LROMoonFrost_YouTube.mp4 (1920x1080) [75.8 MB] || 4574_LROMoonFrost_Facebook.mp4 (1280x720) [65.4 MB] || 4574_LROMoonFrost_Twitter.mp4 (1280x720) [11.8 MB] || 4574_LROMoonFrost_Facebook.webm (1280x720) [5.2 MB] || 4574_LROMoonFrost_MASTER.mov (1920x1080) [639.4 MB] || 4574_LroMoonFrost_Captions.en_US.srt [761 bytes] || 4574_LroMoonFrost_Captions.en_US.vtt [774 bytes] || 4574_LROMoonFrost_YouTube.mp4.hwshow [191 bytes] || ", "hits": 650 }, { "id": 4486, "url": "https://svs.gsfc.nasa.gov/4486/", "result_type": "Visualization", "release_date": "2016-08-19T00:00:00-04:00", "title": "Study Domain for the Arctic-Boreal Vulnerability Experiment", "description": "This image shows the core region (red outline) and extended region (purple outline) of the Arctic-Boreal Vulnerability Experiment over a background of the NDVI trend from 1983-2012. || ArcticGreeningImage_flat_print.jpg (1024x696) [278.1 KB] || ArcticGreeningImage_flat_searchweb.png (320x180) [152.1 KB] || ArcticGreeningImage_flat_thm.png (80x40) [21.3 KB] || ArcticGreeningImage_flat.tif (1000x680) [1.9 MB] || ", "hits": 15 }, { "id": 30783, "url": "https://svs.gsfc.nasa.gov/30783/", "result_type": "Hyperwall Visual", "release_date": "2016-06-13T00:00:00-04:00", "title": "Ocean Color Imagery", "description": "Gulf of MexicoThis image of the northern Gulf of Mexico was created from remote-sensing reflectance and chlorophyll measurements taken from newly reprocessed VIIRS data collected on October 15, 2014. For more information, visit: oceancolor.gsfc.nasa.gov/cgi/image_archive.cgi?c=ALL || V20142881857.NorthernGulfOfMexico.jpg (3404x1638) [3.0 MB] || ocean-color-imagery.hwshow [309 bytes] || ", "hits": 210 }, { "id": 4452, "url": "https://svs.gsfc.nasa.gov/4452/", "result_type": "Visualization", "release_date": "2016-06-02T09:50:00-04:00", "title": "Vegetation Greening Trend in Canada and Alaska: 1984-2012", "description": "This animation examines the change in the vegetation trend over Canada and Alaska between 1984 and 2012. || AG_v0020_Final.3975_print.jpg (1024x576) [213.8 KB] || AG_v0020_Final.3975_searchweb.png (180x320) [103.3 KB] || AG_v0020_Final.3975_thm.png (80x40) [6.9 KB] || AG_Final_mb150_slow_1080p30.mp4 (1920x1080) [38.0 MB] || AG_Final_mb150_slow_1080p60.mp4 (1920x1080) [38.0 MB] || 1920x1080_16x9_60p (1920x1080) [0 Item(s)] || 1920x1080_16x9_30p (1920x1080) [0 Item(s)] || AG_Final_mb150_slow_1080p30.webm (1920x1080) [5.7 MB] || AG_Final_mb150_slow_1080p30.mp4.hwshow [226 bytes] || ", "hits": 56 }, { "id": 12100, "url": "https://svs.gsfc.nasa.gov/12100/", "result_type": "Produced Video", "release_date": "2015-12-15T14:00:00-05:00", "title": "NASA On Air: NASA's New Million-Mile View of Earth Yields New Insights (12/15/2015)", "description": "LEAD: A new NASA camera keeping a steady eye on the sunlit side of Earth is yielding new insights about our changing planet. 1. The camera is onboard a satellite a million miles out in space. 2. A second instrument measures the total amount of solar energy that reflects off Earth, as well as the heat emitted from our planet, filling in missing pieces of energy information not observed by other satellites. TAG: These reflectance measurements will help scientists study Earth's changing climate. || IPAD_DELIVERABLES_DSCOVR_AGU_iPad_1920x1080_print.jpg (1024x576) [92.6 KB] || IPAD_DELIVERABLES_DSCOVR_AGU_iPad_1920x1080_ipad_poster_frame.jpg (1024x576) [92.6 KB] || IPAD_DELIVERABLES_DSCOVR_AGU_iPad_1920x1080_searchweb.png (320x180) [51.5 KB] || IPAD_DELIVERABLES_DSCOVR_AGU_iPad_1920x1080_thm.png (80x40) [4.0 KB] || IPAD_DELIVERABLES_DSCOVR_AGU_iPad_1920x1080_web.png (320x180) [51.5 KB] || DSCOVR_AGU-1_Weather_Channel_30_fps.mov (1920x1080) [302.3 MB] || DSCOVR_AGU-2_Weather_Channel_60_fps.mov (1280x720) [330.6 MB] || DSCOVR_AGU-3_NBC_Today.mov (1920x1080) [173.6 MB] || DSCOVR_AGU-5_Accuweather.avi (1280x720) [3.1 MB] || DSCOVR_AGU-6_Baron_Services_MP4.mp4 (1920x1080) [13.1 MB] || DSCOVR_AGU-7_APR_422_1920_30.mov (1920x1080) [241.2 MB] || IPAD_DELIVERABLES_DSCOVR_AGU_iPad_960x540.m4v (960x540) [9.9 MB] || IPAD_DELIVERABLES_DSCOVR_AGU_iPad_1280x720.m4v (1280x720) [18.7 MB] || IPAD_DELIVERABLES_DSCOVR_AGU_iPad_1920x1080.m4v (1920x1080) [30.3 MB] || IPAD_DELIVERABLES_DSCOVR_AGU_iPad_1920x1080.webm (1920x1080) [1.5 MB] || DSCOVR_AGU-4_Weather_Central.wmv (1280x720) [3.6 MB] || ", "hits": 147 }, { "id": 4407, "url": "https://svs.gsfc.nasa.gov/4407/", "result_type": "Visualization", "release_date": "2015-12-15T11:00:00-05:00", "title": "Monthly burned area from the Global Fire Emissions Database (GFED)", "description": "The final animation of the monthly burned area percent shown in the Robinson projection with a colorbar and date overlay || comp_burned_area_pct.2234_print.jpg (1024x576) [128.4 KB] || comp_burned_area_pct.2234_searchweb.png (320x180) [78.4 KB] || comp_burned_area_pct.2234_thm.png (80x40) [6.4 KB] || comp_burned_area_pct.2234_web.png (320x180) [78.4 KB] || comp_burned_area_pct_1080p30.mp4 (1920x1080) [44.1 MB] || comp_burned_area_pct_1080p30.webm (1920x1080) [8.4 MB] || robinson_final (1920x1080) [0 Item(s)] || Comp_burned_area_pct_720p30.mp4 (1280x720) [26.2 MB] || robinson_final (3840x2160) [0 Item(s)] || comp_burned_area_4407.key [29.7 MB] || comp_burned_area_4407.pptx [27.1 MB] || comp_burned_area_pct_4k_2160p30.mp4 (3840x2160) [142.3 MB] || comp_burned_area_pct_1080p30.mp4.hwshow [228 bytes] || ", "hits": 116 }, { "id": 12095, "url": "https://svs.gsfc.nasa.gov/12095/", "result_type": "Produced Video", "release_date": "2015-12-15T10:30:00-05:00", "title": "AGU El Nino Press Conference Release Materials", "description": "Forty percent of California's annual water supply comes in the form of atmospheric rivers, tendrils of moisture that travel from the Pacific Ocean and rain out when they move over the coast. New research on how El Niño affects atmospheric rivers headed for the California coast suggest that while the number of atmospheric rivers California receives (typically ten per year) will not change during an El Niño, they will be stronger, warmer, and thus wetter. || ", "hits": 15 }, { "id": 4328, "url": "https://svs.gsfc.nasa.gov/4328/", "result_type": "Visualization", "release_date": "2015-08-25T00:00:00-04:00", "title": "Greenland's Glaciers as seen by RadarSat", "description": "An animation up the Greenland's Sermilik Fjord to the calving front of the Helheim Glacier, showing the glacier front's change between 2000 to 2013This video is also available on our YouTube channel. || Helheim_radarsat_4k.0800_print.jpg (1024x576) [242.6 KB] || Helheim_radarsat_4k.0800_searchweb.png (180x320) [121.8 KB] || Helheim_radarsat_4k.0800_web.png (320x180) [121.8 KB] || Helheim_radarsat_4k.0800_thm.png (80x40) [7.6 KB] || Helheim_radarsat_4k_1080p30.mp4 (1920x1080) [84.5 MB] || Helheim_radarsat_4k_720p30.mp4 (1280x720) [43.3 MB] || Helheim_radarsat_4k_2160p30.webm (3840x2160) [16.2 MB] || Helheim (3840x2160) [256.0 KB] || Helheim_radarsat_4k_2160p30.mp4 (3840x2160) [225.6 MB] || ", "hits": 32 }, { "id": 30512, "url": "https://svs.gsfc.nasa.gov/30512/", "result_type": "Hyperwall Visual", "release_date": "2014-06-02T00:00:00-04:00", "title": "Bright Waters of the Southern Ocean", "description": "Phytoplankton are microscopic organisms that live in watery environments, forming the foundation of the aquatic and marine food webs. Phytoplankton populations can grow explosively creating bright green and blue marble swirls, or blooms, near the surface. This visualization shows global daily averages of suspended particulate inorganic carbon (PIC, known as calcium carbonate or limestone) from July 4, 2002 to May 26, 2014, made with data from Aqua/MODIS. One can see shades of bright turquoise circling the Southern Ocean, a unique and consistent feature characterized by the presence of elevated PIC concentrations near the Sub-Tropical, Sub-Antarctic, and Polar Fronts. Referred to as the \"Great Calcite Belt,\" high PIC concentrations result from large numbers of highly reflective microscopic PIC plates called “coccoliths,” released from calcifying coccolithophores. Such regions of elevated reflectance have been observed each year during austral summer with minor variations from year to year. Many sectors of the Southern Ocean are generally characterized by low concentrations of potentially growth limiting iron (Fe) concentrations. Studies suggest, however, that coccolithophores are well adapted to growth under low ambient iron conditions. || ", "hits": 110 }, { "id": 30371, "url": "https://svs.gsfc.nasa.gov/30371/", "result_type": "Hyperwall Visual", "release_date": "2013-10-24T12:00:00-04:00", "title": "Monthly Albedo", "description": "When sunlight reaches the Earth’s surface, some of it is absorbed and some is reflected. The relative amount, or ratio, of light that a surface reflects compared to the total incoming sunlight is called albedo. Surfaces with high albedos include sand, snow and ice, and some urban surfaces, such as concrete. Surfaces with low albedos include forests, the ocean, and some urban surfaces, such as asphalt. These maps show monthly albedo from February 2000 to the present, on a scale from 0 (no incoming sunlight being reflected) to 0.9 (nearly all incoming light being reflected). Darker blue colors indicate that the surface is not reflecting much light, while paler blues indicate higher proportions of incoming light are being reflected. Black areas indicate “no data,” either over ocean or because persistent cloudiness prevented enough views of the surface. The observations are based on atmospherically corrected, cloud-cleared reflectance observations from the MODIS sensors on NASA’s Aqua and Terra satellites. || ", "hits": 108 }, { "id": 30383, "url": "https://svs.gsfc.nasa.gov/30383/", "result_type": "Hyperwall Visual", "release_date": "2013-10-24T12:00:00-04:00", "title": "Monthly Cirrus Reflectance (Terra/MODIS)", "description": "Cirrus clouds are thin, wispy clouds high in the sky that can be hard to see with the unaided eye. They typically form at an altitude of 6000 meters (20,000 feet) or higher, where the air temperature is below freezing. Cirrus clouds are composed mostly of tiny ice crystals. They are scientifically interesting because they allow most incoming sunlight to pass through them, but they help to contain heat emitted from the surface. Thus, cirrus clouds exert a warming influence on Earth's surface. These maps show monthly average cirrus cloud fraction over the Earth from January 2005 to the present, produced using data collected by the Moderate Resolution Imaging Spectroradiometer (MODIS) instrument onboard NASA's Terra satellite. The MODIS sensor has a unique band for measuring infrared light at a wavelength of 1.38 micrometers—a wavelength that NASA scientists recently found is highly sensitive to cirrus. Bright white pixels indicate regions completely covered by cirrus clouds. Greyish-white pixels show partial cirrus cover and dark pixels indicate little or no cirrus. || ", "hits": 94 }, { "id": 30396, "url": "https://svs.gsfc.nasa.gov/30396/", "result_type": "Hyperwall Visual", "release_date": "2013-10-24T12:00:00-04:00", "title": "Monthly Cirrus Reflectance (Aqua/MODIS)", "description": "Cirrus clouds are thin, wispy clouds high in the sky that can be hard to see with the unaided eye. They typically form at an altitude of 6000 meters (20,000 feet) or higher, where the air temperature is below freezing. Cirrus clouds are composed mostly of tiny ice crystals. They are scientifically interesting because they allow most incoming sunlight to pass through them, but they help to contain heat emitted from the surface. Thus, cirrus clouds exert a warming influence on Earth's surface. These maps show monthly average cirrus cloud fraction over the Earth from July 2002 to the present, produced using data collected by the Moderate Resolution Imaging Spectroradiometer (MODIS) instrument onboard NASA's Aqua satellite. The MODIS sensor has a unique band for measuring infrared light at a wavelength of 1.38 micrometers—a wavelength that NASA scientists recently found is highly sensitive to cirrus. Bright white pixels indicate regions completely covered by cirrus clouds. Greyish-white pixels show partial cirrus cover and dark pixels indicate little or no cirrus. || ", "hits": 87 }, { "id": 11114, "url": "https://svs.gsfc.nasa.gov/11114/", "result_type": "Produced Video", "release_date": "2012-10-18T14:00:00-04:00", "title": "Petermann Ice Island 2012", "description": "In the spring and summer of 2012, land- and sea ice thinned in some regions within the Arctic Circle and completely disappeared in others. Satellites watched as a hurricane-force storm hovered over the North Pole, the Northwest Passage was full of open water, and Greenland's Petermann Glacier dropped another city-sized ice cube into the sea. The Arctic Ocean witnessed its lowest area of sea ice since satellite records began in 1979, and nearly the entire surface of Greenland was melting simultaneously for a weekend in July. Some of the phenomena were familiar and natural, if a bit more extreme. Other events lined up with scientists' ideas about how Arctic weather and climate are changing because of warmer ocean and air temperatures and lower albedo (sunlight reflectance). || ", "hits": 81 }, { "id": 3905, "url": "https://svs.gsfc.nasa.gov/3905/", "result_type": "Visualization", "release_date": "2012-04-13T09:00:00-04:00", "title": "Mapping Diseases", "description": "The print-resolution still images were created for the February 2012 issue of The Scientist (print and online). In an article in the same issue, NASA scientist Assaf Anyamba explains how he can predict diseases with remote-sensing data.The data used are: 1. NDVI is an index that quantifies the photosynthetic capacity of vegetation. It is derived from visible and near-infrared reflectance measurements made by Advanced Very High Resolution Radiometer (AVHRR) sensors onboard NOAA's polar orbiting satellites (in this case NOAA-17). Taken as time series measurements, NDVI indicates the response of vegetation to seasonal and interannual variations in climate.2. SST data are a blend of direct observations from ships, buoys, satellite imagery also from National Oceanic and Atmospheric Administration (NOAA) Advanced Very High Resolution Radiometer (AVHRR) instruments, and SSTs simulated by sea-ice cover. The monthly optimum interpolated fields were derived by a linear interpolation of the weekly fields to daily fields, and then averaging daily values over a month.All anomaly fields (as shown here) are derived by subtracting the monthly values from the respective long-term monthly means. || ", "hits": 29 }, { "id": 10732, "url": "https://svs.gsfc.nasa.gov/10732/", "result_type": "Produced Video", "release_date": "2011-08-04T00:00:00-04:00", "title": "Coldest Map In The World", "description": "We've grown used to seeing landscapes from above. The terrain that early explorers once took years to cross we now conquer during a routine business flight on a weekday morning. Yet there remain places too remote and too rugged for most to reach. This is Antarctica, where ice sheets stretch across the eastern part of the continent like a frozen Great Plains, and mountains that would be at home in the Rockies crop up in nearly snow-free, dry regions. Otherwise experienced by only a small group of scientists and polar travelers, NASA, in partnership with the National Science Foundation, the U.S. Geological Survey, and the British Antarctic Survey, has made Antarctica accessible to all by piecing together Landsat 7 satellite images to create a mosaic that represents the first true-color, high-resolution map of the continent. Even without crampons and an ice ax, you can now explore one of the world's most brutal environments in this flyover view of Antarctica. || ", "hits": 61 }, { "id": 10696, "url": "https://svs.gsfc.nasa.gov/10696/", "result_type": "Produced Video", "release_date": "2010-12-02T12:00:00-05:00", "title": "Carbon Nanotubes: Blacker Than Black", "description": "The NASA Goddard Space Flight Center has a team of scientists testing micro and nano technology to use on spacecraft. The goal is to reduce the reflection off the surface of the instruments so that the data does not get polluted by the scattered light. The carbon nanotubes that the team grows have proven to be 10 times better than the NASA Z306 paint, currently used on spacecraft instruments. The nanotubes are also very robust and can be grown on different materials. The team is really close to getting the carbon nanotubes approved for spaceflight. || ", "hits": 107 }, { "id": 20025, "url": "https://svs.gsfc.nasa.gov/20025/", "result_type": "Animation", "release_date": "2010-05-14T12:00:00-04:00", "title": "Cloud Albedo", "description": "Clouds greatly effect the earth's solar energy balance. Albedo, or reflectance, deflects a portion of the influx of solar energy from reaching our planet's surface. At the same time, a blanket of clouds insulates, preventing total loss of allthermal surface heat radiance out into space. This very important balance of energy is essential to our planet's ability to support life. || ", "hits": 85 }, { "id": 40063, "url": "https://svs.gsfc.nasa.gov/gallery/lunar-reconnaissance-orbiter/", "result_type": "Gallery", "release_date": "2010-03-04T00:00:00-05:00", "title": "Lunar Reconnaissance Orbiter", "description": "The Lunar Reconnaissance Orbiter, or LRO, is a multipurpose NASA spacecraft launched in 2009 to make a comprehensive atlas of the Moon’s features and resources. Since launch, LRO has measured the coldest temperatures in the solar system inside the Moon’s permanently shadowed craters, detected evidence of water ice at the Moon’s south pole, seen hints of recent geologic activity on the Moon, found newly-formed craters from present-day meteorite impacts, tested spaceborne laser communication technology, and much more.", "hits": 6869 }, { "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": 169 }, { "id": 10371, "url": "https://svs.gsfc.nasa.gov/10371/", "result_type": "Produced Video", "release_date": "2009-01-17T00:00:00-05:00", "title": "Climate Change and Polar Ice: Are We Waking Sleeping Giants w/ Dr. Waleed Abdalati", "description": "Water covers more than 70% of our planet's surface and largely governs so many things from climate change to the sustenance of life on earth. What you may not realize is the vital importance played by the solid part of our planet's water inventory. || ", "hits": 23 }, { "id": 3436, "url": "https://svs.gsfc.nasa.gov/3436/", "result_type": "Visualization", "release_date": "2007-07-05T00:00:00-04:00", "title": "CloudSat, Calipso and MODIS over Central America", "description": "Associated with tropical thunderstorms are broad fields of cirrus clouds that flow out of the tops of the vigorous storm systems that form over warm tropical oceans. These clouds play a role in how much infrared energy is trapped in Earth's atmosphere. NASA's Tropical Composition, Cloud and Climate Coupling (TC4) mission, which runs from July 16, 2007 through August 8, 2007, aims to document the full lifecycle of these clouds. Observations from four A-Train satellites flying in formation will complement the aircraft measurements with large-scale views of many different features of the atmosphere. Observations from this mission along with previous studies will improve our understanding of what effect a warming climate with rising ocean temperatures will have on these cloud systems. These images over Central America, produced in support of the TC4 mission, show a tropical storm system over Central and South America on August 2, 2006 as measured from multiple satellite sensors, including Aqua MODIS, CloudSat and CALIPSO. In this view from the Pacific Ocean, Panama is on the left and South America is shown on the right. In the following series of still images, each satellite's measurement is shown individually and in combination with the others from the same camera viewpoint. The profile showing CloudSat and CALIPSO data is truncated at a height of twenty kilometers and exaggerated ten times. The land topography is also exaggerated by a factor of ten. || ", "hits": 41 }, { "id": 3429, "url": "https://svs.gsfc.nasa.gov/3429/", "result_type": "Visualization", "release_date": "2007-05-28T00:00:00-04:00", "title": "Ayles Ice Shelf Breakup Viewed from Overhead", "description": "On August 13, 2005, almost the entire Ayles Ice Shelf calved from the northern edge of Ellesmere Island. This continues the trend of dramatic loss of these ice shelves over the past century, reducing the remaining ice shelves there from six to five. Since 1900, approximately 90% of the Ellesmere Island ice shelves have calved and floated away. There is insufficient new ice formation to replace the ice that has been lost. The Ayles calving event was the largest in at least the last 25 years; a total of 87.1 sq km (33.6 sq miles) of ice was lost in this event, of which the largest piece was 66.4 sq km (25.6 sq. miles) in area. This piece is equivalent in size to approximately 11,000 football fields or a little larger than the island of Manhattan. || ", "hits": 19 }, { "id": 3430, "url": "https://svs.gsfc.nasa.gov/3430/", "result_type": "Visualization", "release_date": "2007-05-28T00:00:00-04:00", "title": "Ayles Ice Shelf Breakup Viewed from Northwest Coastline", "description": "On August 13, 2005, almost the entire Ayles Ice Shelf calved from the northern edge of Ellesmere Island. This continues the trend of dramatic loss of these ice shelves over the past century, reducing the remaining ice shelves there from six to five. Since 1900, approximately 90% of the Ellesmere Island ice shelves have calved and floated away. There is insufficient new ice formation to replace the ice that has been lost. The Ayles calving event was the largest in at least the last 25 years; a total of 87.1 sq km (33.6 sq miles) of ice was lost in this event, of which the largest piece was 66.4 sq km (25.6 sq. miles) in area. This piece is equivalent in size to approximately 11,000 football fields or a little larger than the island of Manhattan. || ", "hits": 16 }, { "id": 3414, "url": "https://svs.gsfc.nasa.gov/3414/", "result_type": "Visualization", "release_date": "2007-03-08T00:00:00-05:00", "title": "Sample LIMA Data versus MOA Data of Ferrar Glacier", "description": "The Landsat Image Mosaic of Antarctica (LIMA) is a data product funded by the National Science Foundation (NSF) and jointly produced by the U.S. Geological Survey (USGS), the British Antarctic Survey (BAS), and the National Aeronautics and Space Administration (NASA). The images shown here are compared to what is currently the best mosaic of Antarctica called the MODIS Mosaic of Antarctica (MOA). MOA is a composite of 260 swaths comprised of both Terra and Aqua MODIS images acquired between November 20, 2003 and February 29, 2004. MOA's data resolution is approximately 150 meters per pixel. From large continental views of Antarctica, MOA is more than adequate. However, as we get closer in to the surface, the resolution of the MOA data begins to show, thus highlighting the value of the LIMA product once it is complete. The LIMA data shown here uses the pan-chromatic band which translates to a resolution of 15 meters per pixel (opposed to MOA's 150 meters per pixel resolution). The 13 swaths used to generate this sample mosaic where acquired between December 25, 1999 and December 31, 2001. The elevation shown is actual (1x). Comparing this sample LIMA data set alongside MOA data over the same region shows the value of having a higher resolution view of Antarctica. || ", "hits": 21 }, { "id": 3415, "url": "https://svs.gsfc.nasa.gov/3415/", "result_type": "Visualization", "release_date": "2007-03-08T00:00:00-05:00", "title": "Sample LIMA Data versus MOA Data of Koettlitz Glacier", "description": "The Landsat Image Mosaic of Antarctica (LIMA) is a data product funded by the National Science Foundation (NSF) and jointly produced by the U.S. Geological Survey (USGS), the British Antarctic Survey (BAS), and the National Aeronautics and Space Administration (NASA). The images shown here are compared to what is currently the best mosaic of Antarctica called the MODIS Mosaic of Antarctica (MOA). MOA is a composite of 260 swaths comprised of both Terra and Aqua MODIS images acquired between November 20, 2003 and February 29, 2004. MOA's data resolution is approximately 150 meters per pixel. From large continental views of Antarctica, MOA is more than adequate. However, as we get closer in to the surface, the resolution of the MOA data begins to show, thus highlighting the value of the LIMA product once it is complete. The LIMA data shown here uses the pan-chromatic band which translates to a resolution of 15 meters per pixel (opposed to MOA's 150 meters per pixel resolution). The 13 swaths used to generate this sample mosaic where acquired between December 25, 1999 and December 31, 2001. The elevation shown is actual (1x). Comparing this sample LIMA data set alongside MOA data over the same region shows the value of having a higher resolution view of Antarctica. || ", "hits": 15 }, { "id": 3416, "url": "https://svs.gsfc.nasa.gov/3416/", "result_type": "Visualization", "release_date": "2007-03-08T00:00:00-05:00", "title": "Sample LIMA Data versus MOA Data of the Area Surrounding McMurdo Station", "description": "The Landsat Image Mosaic of Antarctica (LIMA) is a data product funded by the National Science Foundation (NSF) and jointly produced by the U.S. Geological Survey (USGS), the British Antarctic Survey (BAS), and the National Aeronautics and Space Administration (NASA). The images shown here are compared to what is currently the best mosaic of Antarctica called the MODIS Mosaic of Antarctica (MOA). MOA is a composite of 260 swaths comprised of both Terra and Aqua MODIS images acquired between November 20, 2003 and February 29, 2004. MOA's data resolution is approximately 150 meters per pixel. From large continental views of Antarctica, MOA is more than adequate. However, as we get closer in to the surface, the resolution of the MOA data begins to show, thus highlighting the value of the LIMA product once it is complete. The LIMA data shown here uses the pan-chromatic band which translates to a resolution of 15 meters per pixel (opposed to MOA's 150 meters per pixel resolution). The 13 swaths used to generate this sample mosaic where acquired between December 25, 1999 and December 31, 2001. The elevation shown is actual (1x). Comparing this sample LIMA data set alongside MOA data over the same region shows the value of having a higher resolution view of Antarctica. || ", "hits": 19 }, { "id": 3417, "url": "https://svs.gsfc.nasa.gov/3417/", "result_type": "Visualization", "release_date": "2007-03-08T00:00:00-05:00", "title": "Sample LIMA Data versus MOA Data of McMurdo Station", "description": "The Landsat Image Mosaic of Antarctica (LIMA) is a data product funded by the National Science Foundation (NSF) and jointly produced by the U.S. Geological Survey (USGS), the British Antarctic Survey (BAS), and the National Aeronautics and Space Administration (NASA). The images shown here are compared to what is currently the best mosaic of Antarctica called the MODIS Mosaic of Antarctica (MOA). MOA is a composite of 260 swaths comprised of both Terra and Aqua MODIS images acquired between November 20, 2003 and February 29, 2004. MOA's data resolution is approximately 150 meters per pixel. From large continental views of Antarctica, MOA is more than adequate. However, as we get closer in to the surface, the resolution of the MOA data begins to show, thus highlighting the value of the LIMA product once it is complete. The LIMA data shown here uses the pan-chromatic band which translates to a resolution of 15 meters per pixel (opposed to MOA's 150 meters per pixel resolution). The 13 swaths used to generate this sample mosaic where acquired between December 25, 1999 and December 31, 2001. The elevation shown is actual (1x). Comparing this sample LIMA data set alongside MOA data over the same region shows the value of having a higher resolution view of Antarctica. || ", "hits": 17 }, { "id": 3418, "url": "https://svs.gsfc.nasa.gov/3418/", "result_type": "Visualization", "release_date": "2007-03-08T00:00:00-05:00", "title": "Sample LIMA Data versus MOA Data of Ross Island", "description": "The Landsat Image Mosaic of Antarctica (LIMA) is a data product funded by the National Science Foundation (NSF) and jointly produced by the U.S. Geological Survey (USGS), the British Antarctic Survey (BAS), and the National Aeronautics and Space Administration (NASA). The images shown here are compared to what is currently the best mosaic of Antarctica called the MODIS Mosaic of Antarctica (MOA). MOA is a composite of 260 swaths comprised of both Terra and Aqua MODIS images acquired between November 20, 2003 and February 29, 2004. MOA's data resolution is approximately 150 meters per pixel. From large continental views of Antarctica, MOA is more than adequate. However, as we get closer in to the surface, the resolution of the MOA data begins to show, thus highlighting the value of the LIMA product once it is complete. The LIMA data shown here uses the pan-chromatic band which translates to a resolution of 15 meters per pixel (opposed to MOA's 150 meters per pixel resolution). The 13 swaths used to generate this sample mosaic where acquired between December 25, 1999 and December 31, 2001. The elevation shown is actual (1x). Comparing this sample LIMA data set alongside MOA data over the same region shows the value of having a higher resolution view of Antarctica. || ", "hits": 26 }, { "id": 3401, "url": "https://svs.gsfc.nasa.gov/3401/", "result_type": "Visualization", "release_date": "2007-02-01T00:00:00-05:00", "title": "Ayles Ice Shelf Breakup in Arctic", "description": "On August 13, 2005, almost the entire Ayles Ice Shelf calved from the northern edge of Ellesmere Island. This reduced the remaining ice shelves there from 6 to 5, and continues a trend of dramatic loss of these ice shelves over the past century. Since 1900, approximately 90% of the Ellesmere Island ice shelves have calved and floated away. This is a one-way process as there is insufficient new ice formation to replace the ice that has been lost. The Ayles calving event was the largest in at least the last 25 years; a total of 87.1 sq km (33.6 sq miles) of ice was lost in this event, of which the largest piece was 66.4 sq km (25.6 sq. miles) in area. This piece is equivalent in size to approximately 11,000 football fields or a little larger than the island of Manhattan. || ", "hits": 16 }, { "id": 20094, "url": "https://svs.gsfc.nasa.gov/20094/", "result_type": "Animation", "release_date": "2006-10-05T00:00:00-04:00", "title": "Earth's Energy Budget: Land", "description": "Reigning on Earth's Climate - Only about 70% of the solar energy that reaches Earth is absorbed, while the other 30% is reflected back into space by atmosphere and aerosols, ocean/land and clouds. A closer view reveals a delicate balance between absorption and reflection as well as a release of energy by rocks, air and sea warming and emitting increasing amounts of thermal radiation (heat) in the form of long-wave infrared light. This radiation allows Earth to lose heat at the same rate it gains from the Sun. Evidence is in the land/ocean interaction, the absorption of energy by clouds, water vapor and the greenhouse gas ozone, as well as the 20-24% absorbed and emitted back by clouds. || ", "hits": 30 }, { "id": 3355, "url": "https://svs.gsfc.nasa.gov/3355/", "result_type": "Visualization", "release_date": "2006-05-20T23:55:00-04:00", "title": "A Short Tour of the Cryosphere", "description": "A newer version of this animation is available here.This narrated, 5-minute animation shows a wealth of data collected from satellite observations of the cryosphere and the impact that recent cryospheric changes are making on our planet. This is a shorter version of a narrated, 7 1/2 minute animation entitled 'A Tour of the Cryosphere'.See the above link for a detailed description of the full animation.Two sections have been removed from the original animation: one showing a flyby of the South Pole station and glaciers feeding the Ross Ice Shelf and one showing solar data related to the Earth's energy balance.For more information on the data sets used in this visualization, visit NASA's EOS DAAC website. || ", "hits": 25 }, { "id": 3181, "url": "https://svs.gsfc.nasa.gov/3181/", "result_type": "Visualization", "release_date": "2005-12-04T23:55:00-05:00", "title": "A Tour of the Cryosphere", "description": "A new HD version of this animation is available here.Click here to go to the media download section.The cryosphere consists of those parts of the Earth's surface where water is found in solid form, including areas of snow, sea ice, glaciers, permafrost, ice sheets, and icebergs. In these regions, surface temperatures remain below freezing for a portion of each year. Since ice and snow exist relatively close to their melting point, they frequently change from solid to liquid and back again due to fluctuations in surface temperature. Although direct measurements of the cryosphere can be difficult to obtain due to the remote locations of many of these areas, using satellite observations scientists monitor changes in the global and regional climate by observing how regions of the Earth's cryosphere shrink and expand.This animation portrays fluctuations in the cryosphere through observations collected from a variety of satellite-based sensors. The animation begins in Antarctica, showing ice thickness ranging from 2.7 to 4.8 kilometers thick along with swaths of polar stratospheric clouds. In a tour of this frozen continent, the animation shows some unique features of the Antarctic landscape found nowhere else on earth. Ice shelves, ice streams, glaciers, and the formation of massive icebergs can be seen. A time series shows the movement of iceberg B15A, an iceberg 295 kilometers in length which broke off of the Ross Ice Shelf in 2000. Moving farther along the coastline, a time series of the Larsen ice shelf shows the collapse of over 3,200 square kilometers ice since January 2002. As we depart from the Antarctic, we see the seasonal change of sea ice and how it nearly doubles the size of the continent during the winter.From Antarctica, the animation travels over South America showing areas of permafrost over this mostly tropical continent. We then move further north to observe daily changes in snow cover over the North American continent. The clouds show winter storms moving across the United States and Canada, leaving trails of snow cover behind. In a close-up view of the western US, we compare the difference in land cover between two years: 2003 when the region received a normal amount of snow and 2002 when little snow was accumulated. The difference in the surrounding vegetation due to the lack of spring melt water from the mountain snow pack is evident.As the animation moves from the western US to the Arctic region, the areas effected by permafrost are visible. In December, we see how the incoming solar radiation primarily heats the Southern Hemisphere. As time marches forward from December to June, the daily snow and sea ice recede as the incoming solar radiation moves northward to warm the Northern Hemisphere.Using satellite swaths that wrap the globe, the animation shows three types of instantaneous measurements of solar radiation observed on June 20, 2003: shortwave (reflected) radiation, longwave (thermal) radiation and net flux (showing areas of heating and cooling). Correlation between reflected radiation and clouds are evident. When the animation fades to show the monthly global average net flux, we see that the polar regions serve to cool the global climate by radiating solar energy back into space throughout the year.The animation shows a one-year cycle of the monthly average Arctic sea ice concentration followed by the mean September minimum sea ice for each year from 1979 through 2004. A red outline indicates the mean sea ice extent for September over 22 years, from 1979 to 2002. The minimum Arctic sea ice animation clearly shows how over the last 5 years the quantity of polar ice has decreased by 10 - 14% from the 22 year average.While moving from the Arctic to Greenland, the animation shows the constant motion of the Arctic polar ice using daily measures of sea ice activity. Sea ice flows from the Arctic into Baffin Bay as the seasonal ice expands southward. As we draw close to the Greenland coast, the animation shows the recent changes in the Jakobshavn glacier. Although Jakobshavn receded only slightly from 1042 to 2001, the animation shows significant recession over the past three years, from 2002 through 2004.This animation shows a wealth of data collected from satellite observations of the cryosphere and the impact that recent cryospheric changes are making on our planet.For more information on the data sets used in this visualization, visit NASA's EOS DAAC website. || ", "hits": 104 }, { "id": 3180, "url": "https://svs.gsfc.nasa.gov/3180/", "result_type": "Visualization", "release_date": "2005-07-31T00:00:00-04:00", "title": "MODIS Daily Global Snow Cover and Sea Ice Surface Temperature as seen in the SIGGRAPH 2005 Electronic Theater", "description": "This animation showing snow cover and sea ice surface temperature in the Northern Hemisphere portrays data collected from daily MODIS satellite images acquired during the winter of 2002-2003. Darkness increases with the onset of autumn, reaching a maximum at the Winter Solstice on December 21st. Thereafter, the circle of darkness shrinks as the period of daylight increases. Daily changes in sea ice are shown as ice surface temperature, which is related to the air temperature and the concentration of the sea ice. Sea ice surface temperatures range from about -40 to -2 degrees Celsius. Here, ice surface temperatures are depicted by colors, described by a color bar shown below. The snow tracks of several winter storms across the United States can be clearly seen. With an albedo of up to 80 percent or more, snow-covered terrain reflects most of the incoming solar radiation back into space, cooling the lower atmosphere. When snow cover melts, the albedo drops suddenly to less than about 30 percent, allowing the ground to absorb more solar radiation, heating the Earth's surface and lower atmosphere. Rapid changes in albedo, resultingfrom snowfall and snow melt, cause significant changes in the regional energy balance. This animation was accepted into the prestigious 2005 SIGGRAPH Electronic Theater, where it was shown during the annual conference from July 31 through August 4, 2005 in Los Angeles, CA. For more information on the data sets used in this visualization, visit NASA's EOS DAAC website. || ", "hits": 21 }, { "id": 3175, "url": "https://svs.gsfc.nasa.gov/3175/", "result_type": "Visualization", "release_date": "2005-06-21T00:00:00-04:00", "title": "Outgoing Shortwave Flux 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 reflected solar radiation measured by CERES during 29 orbits on June 20 and 21 of 2003 over infrared cloud images for the same period. Reflected solar radiation is shortwave radiation, and the most intense reflection comes from clouds. || ", "hits": 24 }, { "id": 3178, "url": "https://svs.gsfc.nasa.gov/3178/", "result_type": "Visualization", "release_date": "2005-06-21T00:00:00-04:00", "title": "Incoming Solar Flux 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 incoming solar radiation within view of CERES during 29 orbits on June 20 and 21 of 2003. Because this is incoming solar flux, its magnitude only depends on the position of the sun, and, because the orbit is synchronized with the sun, the orbit crosses the equator in the daylight at about 1:30 PM local time on every orbit. This data is not actually measured from CERES, but is calculated to compare with the outgoing radiation that CERES does measure. Note that the infrared cloud image shown under the solar data shows high infrared as dark (land) and low infrared as light (clouds). || ", "hits": 35 }, { "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": 16 }, { "id": 2981, "url": "https://svs.gsfc.nasa.gov/2981/", "result_type": "Visualization", "release_date": "2004-09-25T12:00:00-04:00", "title": "Global Daily Snow and Sea Ice Surface Temperature", "description": "This animation shows the global advance and retreat of daily snow cover along with daily sea ice surface temperature over the Northern Hemisphere from September 2002 through May 2003. The snow cover was measured by the MODIS instrument on the Terra satellite, while the sea ice surface temperature was measured by the MODIS instrument on the Aqua satellite. Since these instruments cannot take measurements through clouds, in cloud-covered regions or areas with suspect data quality, the prior day's value is retained until a valid data reading is obtained. This visualization designates an area as covered by snow when the instrument takes a valid measurement showing greater than ~50% snow coverage in that area. This area is assumed to be snow covered until the instrument takes a valid measurement showing less than 40% snow coverage in that same area. A color bar indicates the sea ice surface temperature values. The satellite instruments are unable to collect data through darkness. The region in polar darkness is shown as a gray cap over the pole that grows and shrinks seasonally. A date slider indicates the progression of time. SeaWiFS Land Reflectance shows the seasonal changes in land cover. || ", "hits": 9 }, { "id": 2982, "url": "https://svs.gsfc.nasa.gov/2982/", "result_type": "Visualization", "release_date": "2004-09-25T12:00:00-04:00", "title": "Daily Snow and Sea Ice Temperature over the North Pole", "description": "This animation shows the global advance and retreat of daily snow cover along with daily sea ice surface temperature over the Northern Hemisphere from September 2002 through May 2003. The snow cover was measured by the MODIS instrument on the Terra satellite, while the sea ice surface temperature was measured by the MODIS instrument on the Aqua satellite. Since these instruments cannot take measurements through clouds, in cloud-covered regions or areas with suspect data quality, the prior day's value is retained until a valid data reading is obtained. This visualization designates an area as covered by snow when the instrument takes a valid measurement showing greater than ~50% snow coverage in that area. This area is assumed to be snow covered until the instrument takes a valid measurement showing less than 40% snow coverage in that same area. A color bar indicates the sea ice surface temperature values. The satellite instruments are unable to collect data through darkness. The region in polar darkness is shown as a gray cap over the pole that grows and shrinks seasonally. A date slider indicates the progression of time. SeaWiFS Land Reflectance shows the seasonal changes in land cover. || ", "hits": 26 }, { "id": 2983, "url": "https://svs.gsfc.nasa.gov/2983/", "result_type": "Visualization", "release_date": "2004-09-25T12:00:00-04:00", "title": "Daily Snow and Sea Ice Temperature over North America", "description": "This animation shows the global advance and retreat of daily snow cover along with daily sea ice surface temperature over North America from September 2002 through May 2003. The snow cover was measured by the MODIS instrument on the Terra satellite, while the sea ice surface temperature was measured by the MODIS instrument on the Aqua satellite. Since these instruments cannot take measurements through clouds, in cloud-covered regions or areas with suspect data quality, the prior day's value is retained until a valid data reading is obtained. This visualization designates an area as covered by snow when the instrument takes a valid measurement showing greater than ~50% snow coverage in that area. This area is assumed to be snow covered until the instrument takes a valid measurement showing less than 40% snow coverage in that same area. A color bar indicates the sea ice surface temperature values. The satellite instruments are unable to collect data through darkness. The region in polar darkness is shown as a gray cap over the pole that grows and shrinks seasonally. A date slider indicates the progression of time. SeaWiFS Land Reflectance shows the seasonal changes in land cover. || ", "hits": 63 }, { "id": 2984, "url": "https://svs.gsfc.nasa.gov/2984/", "result_type": "Visualization", "release_date": "2004-09-25T12:00:00-04:00", "title": "Daily Snow and Sea Ice Temperature over Europe", "description": "This animation shows the global advance and retreat of daily snow cover along with daily sea ice surface temperature over Europe from September 2002 through May 2003. The snow cover was measured by the MODIS instrument on the Terra satellite, while the sea ice surface temperature was measured by the MODIS instrument on the Aqua satellite. Since these instruments cannot take measurements through clouds, in cloud-covered regions or areas with suspect data quality, the prior day's value is retained until a valid data reading is obtained. This visualization designates an area as covered by snow when the instrument takes a valid measurement showing greater than ~50% snow coverage in that area. This area is assumed to be snow covered until the instrument takes a valid measurement showing less than 40% snow coverage in that same area. A color bar indicates the sea ice surface temperature values. The satellite instruments are unable to collect data through darkness. The region in polar darkness is shown as a gray cap over the pole that grows and shrinks seasonally. A date slider indicates the progression of time. SeaWiFS Land Reflectance shows the seasonal changes in land cover. || ", "hits": 48 }, { "id": 2985, "url": "https://svs.gsfc.nasa.gov/2985/", "result_type": "Visualization", "release_date": "2004-09-25T12:00:00-04:00", "title": "Daily Snow and Sea Ice Temperature over Asia", "description": "This animation shows the global advance and retreat of daily snow cover along with daily sea ice surface temperature over Asia from September 2002 through May 2003. The snow cover was measured by the MODIS instrument on the Terra satellite, while the sea ice surface temperature was measured by the MODIS instrument on the Aqua satellite. Since these instruments cannot take measurements through clouds, in cloud-covered regions or areas with suspect data quality, the prior day's value is retained until a valid data reading is obtained. This visualization designates an area as covered by snow when the instrument takes a valid measurement showing greater than ~50% snow coverage in that area. This area is assumed to be snow covered until the instrument takes a valid measurement showing less than 40% snow coverage in that same area. A color bar indicates the sea ice surface temperature values. The satellite instruments are unable to collect data through darkness. The region in polar darkness is shown as a gray cap over the pole that grows and shrinks seasonally. A date slider indicates the progression of time. SeaWiFS Land Reflectance shows the seasonal changes in land cover. || ", "hits": 28 }, { "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": 229 }, { "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": 462 }, { "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": 37 }, { "id": 2479, "url": "https://svs.gsfc.nasa.gov/2479/", "result_type": "Visualization", "release_date": "2002-07-01T12:00:00-04:00", "title": "MODIS Albedo Globe Unwraps to MODIS Albedo True Color Flat Map", "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": 40 }, { "id": 2483, "url": "https://svs.gsfc.nasa.gov/2483/", "result_type": "Visualization", "release_date": "2002-07-01T12:00:00-04:00", "title": "Spinning MODIS Albedo", "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": 84 }, { "id": 2411, "url": "https://svs.gsfc.nasa.gov/2411/", "result_type": "Visualization", "release_date": "2002-04-18T12:00:00-04:00", "title": "AIRS Volumetric Temperature Data (Fly In)", "description": "This visualization shows Aqua/AIRS simulated volumetric temperature data for September 13, 1999. The data was created using the Finite Volume Community Climate Model (FVCCM). Temperature and cloud data sets were match rendered for cross dissolves in post production. This visualization was created as a part of the Aqua prelaunch package. || ", "hits": 18 }, { "id": 2412, "url": "https://svs.gsfc.nasa.gov/2412/", "result_type": "Visualization", "release_date": "2002-04-18T12:00:00-04:00", "title": "AIRS Volumetric Temperature Data (Fly Out)", "description": "This visualization shows Aqua/Airs simulated volumetric temperature data for September 13, 1999. The data was created using the Finite Volume Community Climate Model (FVCCM). Temperature and cloud data sets were match rendered for cross dissolves in post production. This visualization was created as a part of the Aqua prelaunch package. || ", "hits": 14 }, { "id": 2413, "url": "https://svs.gsfc.nasa.gov/2413/", "result_type": "Visualization", "release_date": "2002-04-18T12:00:00-04:00", "title": "AIRS Volumetric Cloud Data (Fly In)", "description": "This visualization shows Aqua/AIRS simulated volumetric cloud data for September 13, 1999. The data was created using the Finite Volume Community Climate Model (FVCCM). Temperature and cloud data sets were match rendered for cross dissolves in post production. This visualization was created as a part of the Aqua prelaunch package. || ", "hits": 10 }, { "id": 2414, "url": "https://svs.gsfc.nasa.gov/2414/", "result_type": "Visualization", "release_date": "2002-04-18T12:00:00-04:00", "title": "AIRS Volumetric Cloud Data (Fly Out)", "description": "This visualization shows Aqua/AIRS simulated volumetric cloud data for September 13, 1999. The data was created using the Finite Volume Community Climate Model (FVCCM). Temperature and cloud data sets were match rendered for cross dissolves in post production. This visualization was created as a part of the Aqua prelaunch package. || ", "hits": 10 }, { "id": 2415, "url": "https://svs.gsfc.nasa.gov/2415/", "result_type": "Visualization", "release_date": "2002-04-18T12:00:00-04:00", "title": "AIRS Volumetric Temperature Data with Gradient Background (Fly In)", "description": "This visualization shows Aqua/Airs simulated volumetric temperature data for September 13, 1999. The data was created using the Finite Volume Community Climate Model (FVCCM). Temperature and cloud data sets were match rendered for cross dissolves in post production. This visualization was created as a part of the Aqua prelaunch package. || ", "hits": 7 }, { "id": 2416, "url": "https://svs.gsfc.nasa.gov/2416/", "result_type": "Visualization", "release_date": "2002-04-18T12:00:00-04:00", "title": "AIRS Volumetric Temperature Data with Gradient Background (Fly Out)", "description": "This visualization shows Aqua/AIRS simulated volumetric temperature data for September 13, 1999. The data was created using the Finite Volume Community Climate Model (FVCCM). Temperature and cloud data sets were match rendered for cross dissolves in post production. This visualization was created as a part of the Aqua prelaunch package. || ", "hits": 9 }, { "id": 2417, "url": "https://svs.gsfc.nasa.gov/2417/", "result_type": "Visualization", "release_date": "2002-04-18T12:00:00-04:00", "title": "AIRS Volumetric Cloud Data with Gradient Background (Fly In)", "description": "This visualization shows Aqua/AIRS simulated volumetric cloud data for September 13, 1999. The data was created using the Finite Volume Community Climate Model (FVCCM). Temperature and cloud data sets were match rendered for cross dissolves in post production. This visualization was created as a part of the Aqua prelaunch package. || ", "hits": 7 }, { "id": 2418, "url": "https://svs.gsfc.nasa.gov/2418/", "result_type": "Visualization", "release_date": "2002-04-18T12:00:00-04:00", "title": "AIRS Volumetric Cloud Data with Gradient Background (Fly Out)", "description": "This visualization shows Aqua/AIRS simulated volumetric cloud data for September 13, 1999. The data was created using the Finite Volume Community Climate Model (FVCCM). Temperature and cloud data sets were match rendered for cross dissolves in post production. This visualization was created as a part of the Aqua prelaunch package. || ", "hits": 15 }, { "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": 2215, "url": "https://svs.gsfc.nasa.gov/2215/", "result_type": "Visualization", "release_date": "2001-08-13T12:00:00-04:00", "title": "Aerosols and Warming Change with Time - Version 1", "description": "As the aerosol content and solar heating change with time, the atmosphere and the Earth's surface experience different warming and cooling. This animation displays a time series of the INDOEX region with 8-day averages showing aerosol and solar reflectance (albedo) data from the Terra satellite From these, we see 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 }, { "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 }, { "id": 2231, "url": "https://svs.gsfc.nasa.gov/2231/", "result_type": "Visualization", "release_date": "2001-08-13T12:00:00-04:00", "title": "Aerosols and Warming Change with Time - Version 2", "description": "As the aerosol content and solar heating change with time, the atmosphere and the Earth's surface experience different warming and cooling. This animation displays a time series of the INDOEX region with 8-day averages showing aerosol and solar reflectance (albedo) data from the Terra satellite. From these, we see 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": 6 }, { "id": 1121, "url": "https://svs.gsfc.nasa.gov/1121/", "result_type": "Visualization", "release_date": "2000-04-19T12:00:00-04:00", "title": "Global Surface Reflectance (MODIS)", "description": "Global Surface Reflectance (MODIS), the first composite of the MODIS data set. || Global Surface Reflectance (MODIS) || a001121.00005_print.png (720x480) [503.3 KB] || a001121_thm.png (80x40) [5.3 KB] || a001121_pre.jpg (320x242) [9.8 KB] || a001121_pre_searchweb.jpg (320x180) [63.9 KB] || a001121.webmhd.webm (960x540) [7.9 MB] || a001121.dv (720x480) [109.7 MB] || a001121.mp4 (640x480) [5.9 MB] || a001121.mpg (352x240) [4.1 MB] || ", "hits": 48 }, { "id": 1138, "url": "https://svs.gsfc.nasa.gov/1138/", "result_type": "Visualization", "release_date": "2000-04-19T12:00:00-04:00", "title": "CERES to MISR Sequence", "description": "CERES stands for Clouds and the Earth's Radiant Energy System. More information about CERES can be found at (http://terra.nasa.gov/Brochure/Sect_4-3.html) and (http://ceres.larc.nasa.gov/ceres_brochure.php). || ", "hits": 8 }, { "id": 1130, "url": "https://svs.gsfc.nasa.gov/1130/", "result_type": "Visualization", "release_date": "2000-04-15T12:00:00-04:00", "title": "Terra: Focus on INDOEX (Second Version)", "description": "Showing various registered data sets of the INDOEX region (second version). For more information on INDOEX, please visit http://www-indoex.ucsd.edu. || Animation of various Indoex datasets || a001130.00005_print.png (720x480) [502.8 KB] || a001130_pre.jpg (320x238) [10.9 KB] || a001130.webmhd.webm (960x540) [5.0 MB] || a001130.dv (720x480) [155.8 MB] || a001130.mp4 (640x480) [8.4 MB] || a001130.mpg (352x240) [6.2 MB] || ", "hits": 4 }, { "id": 1129, "url": "https://svs.gsfc.nasa.gov/1129/", "result_type": "Visualization", "release_date": "2000-04-13T12:00:00-04:00", "title": "Focus on INDOEX (First Version)", "description": "Showing various registered data sets of the INDOEX region (first version). For more information on INDOEX, please visit http://www-indoex.ucsd.edu. || INDOEX Synergy movie || a001129.00005_print.png (720x480) [455.6 KB] || a001129_pre.jpg (320x238) [7.8 KB] || a001129.webmhd.webm (960x540) [3.3 MB] || a001129.m2v (720x480) [21.1 MB] || a001129.dv (720x480) [99.4 MB] || a001129.mp4 (640x480) [5.3 MB] || IndoExSynergy.mov (320x240) [2.6 MB] || a001129.mpg (352x240) [3.8 MB] || ", "hits": 3 } ] }