{
"id": 40238,
"url": "http://svs.gsfc.nasa.gov/gallery/hyperwall-themes/",
"page_type": "Gallery",
"title": "Hyperwall Stories for specific event",
"description": "The hyperwall gallery features visualizations that have been selected for use at NASA's hyperwall at event\nReturn to Main Hyperwall Gallery.",
"release_date": "2005-09-15T12:00:00-04:00",
"update_date": "2015-08-05T00:00:00-04:00",
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"id": 431624,
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"filename": "biosphere_cryo_280_searchweb.png",
"media_type": "Image",
"alt_text": "A different color scheme to differentiate ocean and land.",
"width": 180,
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"media_groups": [
{
"id": 370890,
"url": "http://svs.gsfc.nasa.gov/gallery/hyperwall-themes/#media_group_370890",
"widget": "Basic text (large)",
"title": "Overview",
"caption": "",
"description": "The hyperwall gallery features visualizations that have been selected for use at NASA's hyperwall at event\n
Return to Main Hyperwall Gallery.",
"items": [],
"extra_data": {}
},
{
"id": 370891,
"url": "http://svs.gsfc.nasa.gov/gallery/hyperwall-themes/#media_group_370891",
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"items": [
{
"id": 407293,
"type": "link",
"extra_data": null,
"title": "In Katrina's Wake",
"caption": "Hurricane Katrina took the world by storm when it ravaged Louisiana and surrounding states in late August of 2005. Katrina's effects were far reaching, and researchers continue to uncover new areas of devastation left in her wake. Using data from NASA's Landsat and Terra satellites, along with ecological field investigations and statistical analyses, a group of researchers has quantified losses to Gulf Coast forests inflicted by Hurricane Katrina. The results, published in the 2007 November 16th issue of Science, estimate that Katrina killed or damaged 320 million large trees and affected more than 5 millions acres of forest. In this climate of warming temperatures and frequent, intensified storms, some scientists debate whether this is just the first taste of what's to come.",
"instance": {
"id": 490049,
"url": "http://svs.gsfc.nasa.gov/vis/a010000/a010600/a010655/G2010-094_NASAsHurricaneHunters_appletv_searchweb.png",
"filename": "G2010-094_NASAsHurricaneHunters_appletv_searchweb.png",
"media_type": "Image",
"alt_text": "Hurricane Katrina took the world by storm when it ravaged Louisiana and surrounding states in late August of 2005. Katrina's effects were far reaching, and researchers continue to uncover new areas of devastation left in her wake. Using data from NASA's Landsat and Terra satellites, along with ecological field investigations and statistical analyses, a group of researchers has quantified losses to Gulf Coast forests inflicted by Hurricane Katrina. The results, published in the 2007 November 16th issue of Science, estimate that Katrina killed or damaged 320 million large trees and affected more than 5 millions acres of forest. In this climate of warming temperatures and frequent, intensified storms, some scientists debate whether this is just the first taste of what's to come.",
"width": 180,
"height": 320,
"pixels": 57600
}
},
{
"id": 407294,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 4266,
"url": "http://svs.gsfc.nasa.gov/4266/",
"page_type": "Visualization",
"title": "GPM Sees 2015 Nor'easter Dump Snow on New England",
"description": "Animation of the Nor'easter as it develops and moves east of the New England coast and then stops on January 26 at 5:06pm EST while GPM takes a snapshot of the storm. Slicing through the volumetric precipitation data shows the low lying nature of this storm as well as the intense precipitation amounts at it's center. The massive potentional for precipitation can be seen in the underlying GMI ground precipitation data. Had the center of the storm parked over New England, it could have generated massive amounts of snowfall. Luckily, it quickly moved out over the warmer ocean water and only the outer bands affected New England, still generating considerable snowfall, but not the historical totals that had been anticipated. || juno1080p.0300_print.jpg (1024x576) [166.7 KB] || juno720p.webm (1280x720) [5.1 MB] || juno1080p.mp4 (1920x1080) [21.3 MB] || juno720p.mp4 (1280x720) [11.2 MB] || 1920x1080_16x9_30p (1920x1080) [64.0 KB] || juno1080p_4266.pptx [23.0 MB] || juno1080p_4266.key [25.6 MB] || juno1080p.mp4.hwshow [190 bytes] || ",
"release_date": "2015-01-28T00:00:00-05:00",
"update_date": "2024-10-09T00:04:50.698646-04:00",
"main_image": {
"id": 447054,
"url": "http://svs.gsfc.nasa.gov/vis/a000000/a004200/a004266/juno_still.1300_print.jpg",
"filename": "juno_still.1300_print.jpg",
"media_type": "Image",
"alt_text": "Print resolution image of GPM/GMI precipitation rates. Notice the heavy snowfall amounts falling across Massachusetts, Connecticut, Rhode Island, and New York in the upper left corner.",
"width": 1024,
"height": 576,
"pixels": 589824
}
}
},
{
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"extra_data": null,
"instance": {
"id": 4256,
"url": "http://svs.gsfc.nasa.gov/4256/",
"page_type": "Visualization",
"title": "The Winter of 2013 – 2014: A Cold, Snowy and Icy Winter in North America",
"description": "This animation shows the snow cover over North America during the 2013-2014 winter as well as the ice concentration over the Great Lakes. The date and a graph showing the percent of ice cover over the Great Lakes and Lake Superior is shown on this version. || GreatLakes_ice_2014-15_30p.02845_print.jpg (1024x576) [134.0 KB] || GreatLakes_ice_2014-15_30p.02845_searchweb.png (320x180) [90.3 KB] || GreatLakes_ice_2014-15_30p.02845_thm.png (80x40) [6.6 KB] || GreatLakes_Ice_2013-2014_720.mp4 (1280x720) [42.1 MB] || GreatLakes_Ice_2013-2014_1080.mp4 (1920x1080) [74.5 MB] || GreatLakes_ice_withOlay (1920x1080) [0 Item(s)] || GreatLakes_ice_withOlay (1920x1080) [0 Item(s)] || GreatLakes_Ice_2013-2014_720.webm (1280x720) [27.5 MB] || GreatLakes_Ice_2013-2014_4256.key [45.7 MB] || GreatLakes_Ice_2013-2014_4256.pptx [43.1 MB] || ",
"release_date": "2015-03-16T10:00:00-04:00",
"update_date": "2025-02-02T22:19:57.509972-05:00",
"main_image": {
"id": 444850,
"url": "http://svs.gsfc.nasa.gov/vis/a000000/a004200/a004256/GreatLakes_ice_2014-15_30p.02845_print.jpg",
"filename": "GreatLakes_ice_2014-15_30p.02845_print.jpg",
"media_type": "Image",
"alt_text": "This animation shows the snow cover over North America during the 2013-2014 winter as well as the ice concentration over the Great Lakes. The date and a graph showing the percent of ice cover over the Great Lakes and Lake Superior is shown on this version.",
"width": 1024,
"height": 576,
"pixels": 589824
}
}
},
{
"id": 407296,
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"extra_data": null,
"instance": {
"id": 4240,
"url": "http://svs.gsfc.nasa.gov/4240/",
"page_type": "Visualization",
"title": "CCMP Winds from June through October 2011",
"description": "North Atlantic surface wind vector flow lines over sea surface temperature from June 1, 2011 to October 31, 2011. || ccmp_atlantic_sstHD36.4800_print.jpg (1024x576) [249.9 KB] || ccmp_atlantic_sstHD36.webm (1920x1080) [37.2 MB] || ccmp_atlantic_sstHD36 (1920x1080) [0 Item(s)] || ccmp_atlantic_sstHD36.mp4 (1920x1080) [593.5 MB] || ccmp_atlantic_sstHD36.m4v (640x360) [44.2 MB] || ccmp_atlantic_sst35 (5760x3240) [0 Item(s)] || CCMP_atlantic_sstHD36.key [150.9 MB] || CCMP_atlantic_sstHD36.pptx [149.1 MB] || ",
"release_date": "2015-02-09T14:00:00-05:00",
"update_date": "2025-02-02T22:19:33.300128-05:00",
"main_image": {
"id": 448680,
"url": "http://svs.gsfc.nasa.gov/vis/a000000/a004200/a004240/ccmp_global_sstHD35.4800_print.jpg",
"filename": "ccmp_global_sstHD35.4800_print.jpg",
"media_type": "Image",
"alt_text": "Global surface wind vector flow lines over sea surface temperature from June 1, 2011 to October 31, 2011.",
"width": 1024,
"height": 576,
"pixels": 589824
}
}
}
],
"extra_data": {}
},
{
"id": 370892,
"url": "http://svs.gsfc.nasa.gov/gallery/hyperwall-themes/#media_group_370892",
"widget": "Tile gallery",
"title": "Observing Earth from Space",
"caption": "",
"description": "",
"items": [
{
"id": 407297,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 30496,
"url": "http://svs.gsfc.nasa.gov/30496/",
"page_type": "Hyperwall Visual",
"title": "Earth Observing Fleet",
"description": "Like orbiting sentinels, NASA’s Earth-observing satellites vigilantly monitor our planet’s ever-changing pulse from their unique vantage points in orbit. This animation shows the orbits of all of the current satellite missions. The flight paths are based on actual orbital elements. These missions—many joint with other nations and/or agencies—are able to collect global measurements of rainfall, solar irradiance, clouds, sea surface height, ocean salinity, and other aspects of the environment. Together, these measurements help scientists better diagnose the “health” of the Earth system.This animation will be regularly updated to show the orbits of the current earth observing fleet. This most recent version, published in March 2017, includes the CYGNSS constellation and DSCOVR at L1. Visit the original page here.Previous versions from recent years include:entry 4274 a February 2015 version including SMAPentry 3996 a spring 2014 version including GPM entry 4070 a May 2013 version which added Landsat-8entry 3892 a Dec 2011 version which added Suomi NPP and Aquariusentry 3725 a version from June 2010 || ",
"release_date": "2015-03-17T00:00:00-04:00",
"update_date": "2025-03-02T23:56:45.408182-05:00",
"main_image": {
"id": 388787,
"url": "http://svs.gsfc.nasa.gov/vis/a030000/a030400/a030496/current_earth_observing_fleet_print.jpg",
"filename": "current_earth_observing_fleet_print.jpg",
"media_type": "Image",
"alt_text": "HD resolution movies of NASA's Earth Observing fleet.",
"width": 1024,
"height": 576,
"pixels": 589824
}
}
},
{
"id": 407298,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 30065,
"url": "http://svs.gsfc.nasa.gov/30065/",
"page_type": "Hyperwall Visual",
"title": "NASA Earth Science Division Missions",
"description": "In order to study the Earth as a whole system and understand how it is changing, NASA develops and supports a large number of Earth observing missions. These missions provide Earth science researchers the necessary data to address key questions about global climate change.",
"release_date": "2013-07-22T14:00:00-04:00",
"update_date": "2026-06-03T16:27:43.662978-04:00",
"main_image": {
"id": 1156396,
"url": "http://svs.gsfc.nasa.gov/vis/a030000/a030000/a030065/Earth-Fleet-Chart-06102025.png",
"filename": "Earth-Fleet-Chart-06102025.png",
"media_type": "Image",
"alt_text": "Earth Science Current Missions",
"width": 3840,
"height": 2160,
"pixels": 8294400
}
}
},
{
"id": 414220,
"type": "link",
"extra_data": null,
"title": "Future Earth Science Satellite Missions",
"caption": "To study the Earth as a whole system and understand how it is changing, NASA develops and supports a large number of Earth-observing missions. These missions provide Earth science researchers the necessary data to address key questions about global climate change.\rThis graphic shows NASA’s Earth-observing missions planned to launch in the future. Missions begin with a study phase during which the key science objectives of the mission are identified, and designs for spacecraft and instruments are analyzed. Following a successful study phase, missions enter a development phase whereby all aspects of the mission are developed and tested to insure it meets the mission objectives.",
"instance": {
"id": 1,
"url": "http://svs.gsfc.nasa.gov/images/no_preview_web_black.png",
"filename": "no_preview_web_black.png",
"media_type": "Image",
"alt_text": "Current Airborne Fleet",
"width": 320,
"height": 180,
"pixels": 57600
}
},
{
"id": 407300,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 3891,
"url": "http://svs.gsfc.nasa.gov/3891/",
"page_type": "Visualization",
"title": "Global Precipitation Measurement (GPM) Orbital Fleet",
"description": "GPM will be an international fleet of satellites that provide global observations of rain and snow. Based on the Tropical Rainfall Measuring Mission (TRMM), GPM will consist of a core spacecraft that includes radar and radiometers that will provide reference standards to unify the other observations made by the rest of the fleet. More information on GPMis available.This visualization is the first of three designed to illustrate some aspects of the GPM mission. This one shows the GPM spacecraft fleet orbiting the Earth. This version is capable of being shown on a hyperwall that is a set of tiled displays. || ",
"release_date": "2011-12-05T00:00:00-05:00",
"update_date": "2024-10-13T00:02:46.387831-04:00",
"main_image": {
"id": 480688,
"url": "http://svs.gsfc.nasa.gov/vis/a000000/a003800/a003891/HW_GPM_Core_tiles_b2.1000_print.jpg",
"filename": "HW_GPM_Core_tiles_b2.1000_print.jpg",
"media_type": "Image",
"alt_text": "Hyperwall tile b2",
"width": 1368,
"height": 768,
"pixels": 1050624
}
}
},
{
"id": 407301,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 30280,
"url": "http://svs.gsfc.nasa.gov/30280/",
"page_type": "Hyperwall Visual",
"title": "NASA Science Facilities on the International Space Station",
"description": "NASA Earth Science missions on the International Space Station",
"release_date": "2013-10-21T12:00:00-04:00",
"update_date": "2026-05-13T17:27:10.195128-04:00",
"main_image": {
"id": 1203858,
"url": "http://svs.gsfc.nasa.gov/vis/a030000/a030200/a030280/ISS-Chart-05052026a-1080p.png",
"filename": "ISS-Chart-05052026a-1080p.png",
"media_type": "Image",
"alt_text": "NASA Earth Science instruments on the International Space Station.",
"width": 1920,
"height": 1080,
"pixels": 2073600
}
}
},
{
"id": 407302,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 3253,
"url": "http://svs.gsfc.nasa.gov/3253/",
"page_type": "Visualization",
"title": "Hurricane Katrina Hot Towers",
"description": "NASA's TRMM spacecraft allows us to look under Hurricane Katrina's clouds to see the rain structure on August 28, 2005 at 0324Z. Spikes in the rain structure known as 'hot towers' indicate storm intensity. 'Hot Towers' refers to tall cumulonimbus clouds and has been seen as one of the mechanisms by which the intensity of a tropical cyclone is maintained. Because of the size (1-20 km) and short duration (30 minute to 2 hours) of these hot towers, studies of these events have been limited to descriptive studies from aircraft observations, although a few have attempted to use the presence of hot towers in a predictive capacity. Before TRMM, no data set existed that could show globally and definitively the presence of these hot towers in cyclone systems. Aircraft radar studies of individual storms lack global coverage. Global microwave or Infrared sensor observations do not provide the needed spatial resolution. With a ground resolution of 5 km, the TRMM Precipitation Radar provided the needed data set for examining the predictive value of hot towers in cyclone intensification. || ",
"release_date": "2005-09-15T12:00:00-04:00",
"update_date": "2024-10-09T00:00:31.680013-04:00",
"main_image": {
"id": 513268,
"url": "http://svs.gsfc.nasa.gov/vis/a000000/a003200/a003253/katowers_print.0150_web.jpg",
"filename": "katowers_print.0150_web.jpg",
"media_type": "Image",
"alt_text": "Energy-releasing deep convective clouds (to 16 km) in the eyewall of Hurricane Katrina on August 28 occurred while the storm was intensifying to a category 5 classification. ",
"width": 320,
"height": 240,
"pixels": 76800
}
}
},
{
"id": 407303,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 3852,
"url": "http://svs.gsfc.nasa.gov/3852/",
"page_type": "Visualization",
"title": "Hurricane Irene",
"description": "This visualization follows the development of Hurricane Irene as it moves up the East Coast of the United States in August of 2011. There are three versions of this visualization. Two of the versions follow the eye of the storm until it dissipates, then pulls back to reveal the rain fall accumulation track as measured by the Tropcical Rainfall Measuring Mission (TRMM) using two different color tables. The first version only includes rainfall along the storm track. The second and third versions include all rainfall. The third version shows the rainfall accumulating as the storm moves.These visualizations were created to support presenstations at the National Air and Space Museum (NASM) 2011. || ",
"release_date": "2011-09-15T00:00:00-04:00",
"update_date": "2025-02-02T22:02:54.826171-05:00",
"main_image": {
"id": 483337,
"url": "http://svs.gsfc.nasa.gov/vis/a000000/a003800/a003852/nasm_irene07.2200.jpg",
"filename": "nasm_irene07.2200.jpg",
"media_type": "Image",
"alt_text": "Hurricane Irene visualization of clouds followed by rain accumulation using TRMM color bar",
"width": 1920,
"height": 1080,
"pixels": 2073600
}
}
},
{
"id": 407304,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 30477,
"url": "http://svs.gsfc.nasa.gov/30477/",
"page_type": "Hyperwall Visual",
"title": "Long-term Global Warming Trend Continues",
"description": "The world is getting warmer. This map shows global, annual temperature anomalies from 1880 to 2014 based on analysis conducted by NASA’s Goddard Institute for Space Studies (GISS). Red and blue shades show how much warmer or cooler a given area was compared to an averaged base period from 1951 to 1980. The graph shows yearly, global GISS temperature anomaly data from 1880 to 2014. Though there are minor variations from year to year, the general trend shows rapid warming in the past few decades, with the last decade being the warmest. To conduct its analysis, GISS uses publicly available data from approximately 6300 meteorological stations around the world; ship-based and satellite observations of sea surface temperature; and Antarctic research station measurements. These three datasets are loaded into a computer analysis program that calculates trends in temperature anomalies relative to the annual average temperature from 1951 to 1980. Generally, warming is greater over land than over the oceans because water is slower to absorb and release heat. Warming may also differ substantially within specific landmasses and ocean basins. || ",
"release_date": "2013-11-01T11:00:00-04:00",
"update_date": "2024-12-15T23:36:00.125390-05:00",
"main_image": {
"id": 430116,
"url": "http://svs.gsfc.nasa.gov/vis/a030000/a030400/a030477/gisstemp_yearly_anomaly_1880-2012_web.png",
"filename": "gisstemp_yearly_anomaly_1880-2012_web.png",
"media_type": "Image",
"alt_text": "Global surface temperature anomalies from GISS, 1880-2012.",
"width": 320,
"height": 180,
"pixels": 57600
}
}
},
{
"id": 407305,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 30178,
"url": "http://svs.gsfc.nasa.gov/30178/",
"page_type": "Hyperwall Visual",
"title": "A Changed Coastline in New Jersey",
"description": "On October 29, 2012, Superstorm Sandy changed the lives of many living along the U.S. East Coast—especially along the shorelines of New Jersey, New York, and Connecticut. At landfall, heavy rains pelted states as far inland as Wisconsin and surging seawater washed away beaches and flooded streets, businesses, and homes. These two images show a portion of the New Jersey coastal town of Mantolokig, just north of where the storm made landfall, before (March 18, 2007) and after (October 31, 2012) the storm. On the barrier island, entire blocks of houses along Route 35 (also called Ocean Boulevard) were damaged or completely washed away by the storm surge and wind. Fires raged in the town from natural gas lines that had ruptured and ignited. A new inlet was cut across the island, connected the Atlantic Ocean and the Jones Tide Pond. || ",
"release_date": "2013-10-17T12:00:00-04:00",
"update_date": "2024-12-15T00:18:12.624903-05:00",
"main_image": {
"id": 429025,
"url": "http://svs.gsfc.nasa.gov/vis/a030000/a030100/a030178/hurricane_sandy_mantoloking_print.jpg",
"filename": "hurricane_sandy_mantoloking_print.jpg",
"media_type": "Image",
"alt_text": "Aerial photo shows Mantolokig, NJ before and after Hurricane Sandy.",
"width": 1024,
"height": 576,
"pixels": 589824
}
}
},
{
"id": 407306,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 30220,
"url": "http://svs.gsfc.nasa.gov/30220/",
"page_type": "Hyperwall Visual",
"title": "Hurricane Sandy Causes Blackouts in New Jersey and New York",
"description": "In the days following landfall of Hurricane Sandy, millions remained without power. This pair of images shows the difference in city lighting across New Jersey and New York before (August 31, 2012), when conditions were normal, and after (November 1, 2012) the storm. Both images were captured by the Visible Infrared Imaging Radiometer Suite (VIIRS) “day-night band” onboard the Suomi National Polar-orbiting Partnership satellite, which detects light in a range of wavelengths and uses filtering techniques to observe signals such as gas flares, city lights, and reflected moonlight.In Manhattan, the lower third of the island is dark on November 1, while Rockaway Beach, much of Long Island, and nearly all of central New Jersey are significantly dimmer. The barrier islands along the New Jersey coast, which are heavily developed with tourist businesses and year-round residents, are just barely visible in moonlight after the blackout. || ",
"release_date": "2013-10-21T12:00:00-04:00",
"update_date": "2024-10-10T00:19:59.394901-04:00",
"main_image": {
"id": 429198,
"url": "http://svs.gsfc.nasa.gov/vis/a030000/a030200/a030220/useastcoast_vir_2012306_web.png",
"filename": "useastcoast_vir_2012306_web.png",
"media_type": "Image",
"alt_text": "Suomi NPP images before and after the blackout cause by Hurricane Sandy.",
"width": 320,
"height": 180,
"pixels": 57600
}
}
},
{
"id": 407307,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 30595,
"url": "http://svs.gsfc.nasa.gov/30595/",
"page_type": "Hyperwall Visual",
"title": "Global Biosphere, Yearly Cycle",
"description": "A different color scheme to differentiate ocean and land. || biosphere_cryo_280_print.jpg (1024x576) [145.4 KB] || biosphere_cryo_280_searchweb.png (180x320) [77.2 KB] || biosphere_cryo_280_thm.png (80x40) [7.2 KB] || biosphere_cryo_1080p.mp4 (1920x1080) [10.5 MB] || biosphere_cryo_720p.mp4 (1280x720) [5.0 MB] || biosphere_cryo_720p.webm (1280x720) [1.4 MB] || biosphere_cryo_2160p.mp4 (3840x2160) [37.2 MB] || biosphere_cryo_280.tif (5760x3240) [14.7 MB] || biosphere_cryo_3240p.mp4 (5760x3240) [43.6 MB] || biosphere_cryo_30595.key [14.6 MB] || biosphere_cryo_30595.pptx [12.0 MB] || ",
"release_date": "2015-04-12T15:00:00-04:00",
"update_date": "2025-02-02T23:37:16.959335-05:00",
"main_image": {
"id": 431623,
"url": "http://svs.gsfc.nasa.gov/vis/a030000/a030500/a030595/biosphere_cryo_280_print.jpg",
"filename": "biosphere_cryo_280_print.jpg",
"media_type": "Image",
"alt_text": "A different color scheme to differentiate ocean and land.",
"width": 1024,
"height": 576,
"pixels": 589824
}
}
},
{
"id": 407308,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 30614,
"url": "http://svs.gsfc.nasa.gov/30614/",
"page_type": "Hyperwall Visual",
"title": "Blue Marble 2002",
"description": "Blue Marble 2002 || blue_marble_modis_north_america_print.jpg (1024x574) [120.8 KB] || blue_marble_modis_north_america_searchweb.png (180x320) [51.1 KB] || blue_marble_modis_north_america_thm.png (80x40) [7.5 KB] || blue_marble_modis_north_america.tif (4104x2304) [7.2 MB] || blue_marble_modis_north_america_30614.key [8.8 MB] || blue_marble_modis_north_america_30614.pptx [6.2 MB] || ",
"release_date": "2015-07-21T00:00:00-04:00",
"update_date": "2024-10-10T00:23:07.610936-04:00",
"main_image": {
"id": 432172,
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"filename": "blue_marble_modis_north_america_print.jpg",
"media_type": "Image",
"alt_text": "Blue Marble 2002",
"width": 1024,
"height": 574,
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"instance": {
"id": 30610,
"url": "http://svs.gsfc.nasa.gov/30610/",
"page_type": "Hyperwall Visual",
"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. || ",
"release_date": "2015-07-20T00:00:00-04:00",
"update_date": "2024-10-10T00:23:06.878781-04:00",
"main_image": {
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"url": "http://svs.gsfc.nasa.gov/vis/a030000/a030600/a030610/dscovr_epic_africa_dxm_crop_print.jpg",
"filename": "dscovr_epic_africa_dxm_crop_print.jpg",
"media_type": "Image",
"alt_text": "View of Africa and Europe",
"width": 1024,
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"instance": {
"id": 11858,
"url": "http://svs.gsfc.nasa.gov/11858/",
"page_type": "Produced Video",
"title": "Earth from Orbit 2014",
"description": "Earth from Orbit 2014. || Earth_from_Orbit_2014_youtube_hq_print.jpg (1024x576) [133.6 KB] || Earth_from_Orbit_2014_youtube_hq_searchweb.png (320x180) [57.2 KB] || Earth_from_Orbit_2014_1280x720.wmv (1280x720) [86.2 MB] || Earth_from_Orbit_2014_prores.webm (1280x720) [24.2 MB] || Earth_from_Orbit_2014_ipod_lg.m4v (640x360) [34.8 MB] || Earth_from_Orbit_2014_ipod_sm.mp4 (320x240) [17.4 MB] || Earth_from_Orbit_2014.en_US.srt [1.7 KB] || Earth_from_Orbit_2014.en_US.vtt [1.7 KB] || Earth_from_Orbit_2014_youtube_hq.mov (1920x1080) [327.2 MB] || Earth_from_Orbit_2014_prores.mov (1280x720) [2.8 GB] || Earth_from_Orbit_2014.mov (1920x1080) [5.5 GB] || Earth_from_Orbit_2014_11858.pptx [176.6 MB] || Earth_from_Orbit_2014_11858.key [179.2 MB] || ",
"release_date": "2015-04-20T13:00:00-04:00",
"update_date": "2024-10-10T00:16:19.719636-04:00",
"main_image": {
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"media_type": "Image",
"alt_text": "Earth from Orbit 2014.",
"width": 1024,
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"extra_data": null,
"instance": {
"id": 30590,
"url": "http://svs.gsfc.nasa.gov/30590/",
"page_type": "Hyperwall Visual",
"title": "From Observations to Models",
"description": "NASA’s Global Modeling and Assimilation Office (GMAO) uses the Goddard Earth Observing System Model, Version 5 Data Assimilation System (GEOS-5 DAS) to produce global numerical weather forecasts on a routine basis. GMAO forecasts play important roles in managing NASA’s fleet of science satellites and in researching the impact of new satellite observations. In order to provide timely information about the state of the atmosphere for NASA instrument teams and researchers, the GMAO runs the GEOS-5 DAS four times each day in real time. For each forecast, it is necessary to provide accurate initial conditions that drive the GEOS-5 forecasts. To do this, the best estimate of the full, three-dimensional atmospheric state is determined by combining the latest observations and a short-term, 6-hour forecast—a process known as data assimilation. The GEOS-5 DAS assimilates more than 5 million observations during each 6-hour assimilation period.These observations are assembled from a number of sources from around the globe, including NASA, NOAA, EUMETSAT (European Organization for the Exploitation of Meteorological Satellites), commercial airlines, the US Department of Defense, and many others. Similarly, each observation type has its own sampling characteristics. It can be seen in the animation how different observation types have different strategies. One of the main challenges of data assimilation is to understand how all these observations are alike, how they differ, and how they interact with each other.Funding for the development of the GEOS-5 model and data assimilation system development comes from NASA's Modeling, Analysis, and Prediction Program and the NASA Weather Focus Area's contribution to the Joint Center for Satellite Data Assimilation.The GEOS-5 DAS runs at the NASA Center for Climate Simulation, which is funded by NASA’s High-End Computing Program.For More Information:http://gmao.gsfc.nasa.gov/http://www.nccs.nasa.gov/images/data_assim_story_072815.pdf || ",
"release_date": "2015-05-07T10:00:00-04:00",
"update_date": "2025-03-03T00:03:01.288967-05:00",
"main_image": {
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"url": "http://svs.gsfc.nasa.gov/vis/a030000/a030500/a030590/fig-wleg-wm-00720_print.jpg",
"filename": "fig-wleg-wm-00720_print.jpg",
"media_type": "Image",
"alt_text": "This animation shows the global observations assimilated into the GEOS-5 data assimilation system over 6 hours. Data assimilation occurs four times per day.",
"width": 1024,
"height": 576,
"pixels": 589824
}
}
},
{
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"extra_data": null,
"instance": {
"id": 4135,
"url": "http://svs.gsfc.nasa.gov/4135/",
"page_type": "Visualization",
"title": "Five-Year Global Temperature Anomalies from 1880 to 2013",
"description": "NASA scientists say 2013 tied with 2009 and 2006 for the seventh warmest year since 1880, continuing a long-term trend of rising global temperatures. With the exception of 1998, the 10 warmest years in the 134-year record all have occurred since 2000, with 2010 and 2005 ranking as the warmest years on record.NASA's Goddard Institute for Space Studies (GISS) in New York, which analyzes global surface temperatures on an ongoing basis, released an updated report Tuesday on temperatures around the globe in 2013. The comparison shows how Earth continues to experience temperatures warmer than those measured several decades ago. The average temperature in 2013 was 58.3 degrees Fahrenheit (14.6 degrees Celsius), which is 1.1 °F (0.6 °C) warmer than the mid-20th century baseline. The average global temperature has risen about 1.4 °F (0.8 °C) since 1880, according to the new analysis. Exact rankings for individual years are sensitive to data inputs and analysis methods.\"Long-term trends in surface temperatures are unusual and 2013 adds to the evidence for ongoing climate change,\" GISS climatologist Gavin Schmidt said. \"While one year or one season can be affected by random weather events, this analysis shows the necessity for continued, long-term monitoring.\"Scientists emphasize that weather patterns always will cause fluctuations in average temperatures from year to year, but the continued increases in greenhouse gas levels in Earth's atmosphere are driving a long-term rise in global temperatures. Each successive year will not necessarily be warmer than the year before, but with the current level of greenhouse gas emissions, scientists expect each successive decade to be warmer than the previous.Carbon dioxide is a greenhouse gas that traps heat and plays a major role in controlling changes to Earth's climate. It occurs naturally and also is emitted by the burning of fossil fuels for energy. Driven by increasing man-made emissions, the level of carbon dioxide in Earth's atmosphere presently is higher than at any time in the last 800,000 years. The carbon dioxide level in the atmosphere was about 285 parts per million in 1880, the first year in the GISS temperature record. By 1960, the atmospheric carbon dioxide concentration, measured at the National Oceanic and Atmospheric Administration's (NOAA) Mauna Loa Observatory in Hawaii, was about 315 parts per million. This measurement peaked last year at more than 400 parts per million.While the world experienced relatively warm temperatures in 2013, the continental United States experienced the 42nd warmest year on record, according to GISS analysis. For some other countries, such as Australia, 2013 was the hottest year on record.The temperature analysis produced at GISS is compiled from weather data from more than 1,000 meteorological stations around the world, satellite observations of sea-surface temperature, and Antarctic research station measurements, taking into account station history and urban heat island effects. Software is used to calculate the difference between surface temperature in a given month and the average temperature for the same place from 1951 to 1980. This three-decade period functions as a baseline for the analysis. It has been 38 years since the recording of a year of cooler than average temperatures.The GISS temperature record is one of several global temperature analyses, along with those produced by the Met Office Hadley Centre in the United Kingdom and NOAA's National Climatic Data Center in Asheville, N.C. These three primary records use slightly different methods, but overall, their trends show close agreement.Additional commentary on the 2013 temperature anomaly is provided by Dr. James Hansen of Columbia University at: http://www.columbia.edu/~jeh1/mailings/2014/20140121_Temperature2013.pdfThe GISTEMP analysis website is located at: http://data.giss.nasa.gov/gistemp/ || ",
"release_date": "2014-01-21T00:00:00-05:00",
"update_date": "2025-02-02T22:13:21.205434-05:00",
"main_image": {
"id": 459440,
"url": "http://svs.gsfc.nasa.gov/vis/a000000/a004100/a004135/GCM2013update_robinson_composite.0790.jpg",
"filename": "GCM2013update_robinson_composite.0790.jpg",
"media_type": "Image",
"alt_text": "This color-coded map in Robinson projection displays a progression of changing global surface temperatures anomalies from 1880 through 2013. Higher than normal temperatures are shown in red and lower then normal temperatures are shown in blue.The final frame represents global temperature anomalies averaged from 2009 through 2013. ",
"width": 1920,
"height": 1080,
"pixels": 2073600
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}
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{
"id": 407313,
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"extra_data": null,
"instance": {
"id": 30028,
"url": "http://svs.gsfc.nasa.gov/30028/",
"page_type": "Hyperwall Visual",
"title": "Earth at Night 2012",
"description": "This new space-based view of Earth's city lights is a composite assembled from data acquired by the Suomi National Polar-orbiting Partnership (Suomi NPP) satellite. The data was acquired over nine days in April 2012 and thirteen days in October 2012. It took the satellite 312 orbits and 2.5 terabytes of data to get a clear shot of every parcel of Earth's land surface and islands. This new data was then mapped over existing MODIS Blue Marble imagery to provide a realistic view of the planet.The view was made possible by the \"day-night band\" of Suomi NPP's Visible Infrared Imaging Radiometer Suite. VIIRS detects light in a range of wavelengths from green to near-infrared and uses \"smart\" light sensors to observe dim signals such as city lights, auroras, wildfires, and reflected moonlight. This low-light sensor can distinguish night lights tens to hundreds of times better than previous satellites. || ",
"release_date": "2013-04-05T00:00:00-04:00",
"update_date": "2025-02-02T00:24:29.642234-05:00",
"main_image": {
"id": 428129,
"url": "http://svs.gsfc.nasa.gov/vis/a030000/a030000/a030028/earthatnight2012_web_searchweb.jpg",
"filename": "earthatnight2012_web_searchweb.jpg",
"media_type": "Image",
"alt_text": "Flat map of the whole Earth",
"width": 320,
"height": 180,
"pixels": 57600
}
}
}
],
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{
"id": 370893,
"url": "http://svs.gsfc.nasa.gov/gallery/hyperwall-themes/#media_group_370893",
"widget": "Card gallery",
"title": "Changes at Earth's Poles",
"caption": "",
"description": "",
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{
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"instance": {
"id": 4301,
"url": "http://svs.gsfc.nasa.gov/4301/",
"page_type": "Visualization",
"title": "Annual Arctic Sea Ice Minimum 1979-2014 with Area Graph",
"description": "This animation shows the annual Arctic sea ice minimum with a graph overlay that depicts the area of the sea ice in millions of square kilometers. || seaIce_1979-2014_min_wGraph.2499_print.jpg (1024x576) [129.9 KB] || seaIce_1979-2014_min_wGraph.2499_searchweb.png (180x320) [83.9 KB] || seaIce_1979-2014_min_wGraph.2499_web.png (320x180) [83.9 KB] || seaIce_1979-2014_min_wGraph.2499_thm.png (80x40) [9.0 KB] || seaIce_1979-2014_min_wGraph_720p30.mp4 (1280x720) [7.5 MB] || seaIce_1979-2014_min_wGraph_1080p30.mp4 (1920x1080) [14.4 MB] || composite (1920x1080) [256.0 KB] || seaIce_1979-2014_min_wGraph_720p30.webm (1280x720) [5.0 MB] || composite (1920x1080) [128.0 KB] || seaIce_1979-2014_min_wGraph_4301.key [22.3 MB] || seaIce_1979-2014_min_wGraph_4301.pptx [19.7 MB] || seaIce_1979-2014_min_wGraph_1080p30.mp4.hwshow [242 bytes] || ",
"release_date": "2015-04-08T14:00:00-04:00",
"update_date": "2024-10-09T00:05:19.966872-04:00",
"main_image": {
"id": 444033,
"url": "http://svs.gsfc.nasa.gov/vis/a000000/a004300/a004301/seaIce_1979-2014_min_wGraph.2499_print.jpg",
"filename": "seaIce_1979-2014_min_wGraph.2499_print.jpg",
"media_type": "Image",
"alt_text": "This animation shows the annual Arctic sea ice minimum with a graph overlay that depicts the area of the sea ice in millions of square kilometers.",
"width": 1024,
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}
}
},
{
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"instance": {
"id": 30478,
"url": "http://svs.gsfc.nasa.gov/30478/",
"page_type": "Hyperwall Visual",
"title": "Greenland Ice Loss 2003-2013",
"description": "The mass of the Greenland ice sheet has rapidly been declining over the last several years due to surface melting and iceberg calving. Research based on observations from NASA’s twin Gravity Recovery and Climate Experiment (GRACE) satellites indicates that between 2003 and 2013, Greenland shed approximately 280 gigatons of ice per year, causing global sea level to rise by 0.8 millimeters per year. These images, created with GRACE data, show changes in Greenland ice mass since 2003. Orange and red shades indicate areas that lost ice mass, while light blue shades indicate areas that gained ice mass. White indicates areas where there has been very little or no change in ice mass since 2003. In general, higher-elevation areas near the center of Greenland experienced little to no change, while lower-elevation and coastal areas experienced up to 3 meters of ice mass loss (dark red) over a ten-year period. The largest mass decreases of up to 30 centimeters per year occurred over southeastern Greenland. || ",
"release_date": "2013-10-08T00:00:00-04:00",
"update_date": "2024-12-15T23:36:01.443953-05:00",
"main_image": {
"id": 430060,
"url": "http://svs.gsfc.nasa.gov/vis/a030000/a030400/a030478/grace_greenland_2004_2012_print.jpg",
"filename": "grace_greenland_2004_2012_print.jpg",
"media_type": "Image",
"alt_text": "GRACE image show changes in Greenland ice mass, 2003-2013.",
"width": 1024,
"height": 576,
"pixels": 589824
}
}
},
{
"id": 407316,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 30492,
"url": "http://svs.gsfc.nasa.gov/30492/",
"page_type": "Hyperwall Visual",
"title": "Antarctic Ice Loss 2003-2013",
"description": "The mass of the Antarctic ice sheet has changed over the last several years. Research based on observations from NASA’s twin Gravity Recovery and Climate Experiment (GRACE) satellites indicates that between 2003 and 2013, Antarctica shed approximately 90 gigatons of ice per year, causing global sea level to rise by 0.25 millimeters per year.These images, created with GRACE data, show changes in Antarctic ice mass since 2003. Orange and red shades indicate areas that lost ice mass, while light blue shades indicate areas that gained ice mass. White indicates areas where there has been very little or no change in ice mass since 2003. In general, areas near the center of Antarctica experienced small amounts of positive or negative change, while the West Antarctic Ice Sheet experienced a significant ice mass loss (dark red) over the ten-year period. || ",
"release_date": "2014-02-11T00:00:00-05:00",
"update_date": "2025-02-02T23:32:28.016499-05:00",
"main_image": {
"id": 430315,
"url": "http://svs.gsfc.nasa.gov/vis/a030000/a030400/a030492/grace_antarctica_2004_2013_print.jpg",
"filename": "grace_antarctica_2004_2013_print.jpg",
"media_type": "Image",
"alt_text": "GRACE images show changes in Antarctic ice mass 2003-2013.",
"width": 1024,
"height": 576,
"pixels": 589824
}
}
},
{
"id": 407317,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 3848,
"url": "http://svs.gsfc.nasa.gov/3848/",
"page_type": "Visualization",
"title": "NASA Research Leads to First Complete Map of Antarctic Ice Flow",
"description": "This animation shows the motion of ice in Antarctica as measured by satellite data from CSA, JAXA and ESA processed by a NASA Research Team at UC Irvine. The background image from Landsat (visible imagery) is progressively replaced by a map of ice velocity color coded on a logarithmic scale, with values varying from 1 m/yr (brown to green) to 3,000 m/yr (green to blue and red). The animation does not show where ice is melting but how ice is naturally transported from the interior regions where it accumulates from snowfall to the coastal regions where it is discharged into the ocean as tabular icebergs and ice-shelf melt water. For the purpose of the animation, we are representing hundreds to thousands of years of motion. In the first animation, the dynamic range of the flow has been compressed, with slower flows scaled up in velocity to make visible how the flows feed from the interior of the continent. In the second, the flows speeds are in scale to each other.The result illustrates that zones of enhanced motion take their source far into the interior regions of Antarctica, at the foothills of the ridges formed by the ice tops of the continent. This pattern of motion has never been observed on that scale before. These observations have vast implications on our understanding of the flow of ice sheets and how they might respond to climate change in the future and contribute to sea level change. || ",
"release_date": "2011-08-18T12:00:00-04:00",
"update_date": "2024-10-09T00:01:15.204458-04:00",
"main_image": {
"id": 484047,
"url": "http://svs.gsfc.nasa.gov/vis/a000000/a003800/a003848/antarctica_flows_1_00200.jpg",
"filename": "antarctica_flows_1_00200.jpg",
"media_type": "Image",
"alt_text": "Differentially-scaled ice velocity ",
"width": 1920,
"height": 1080,
"pixels": 2073600
}
}
},
{
"id": 407318,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 4004,
"url": "http://svs.gsfc.nasa.gov/4004/",
"page_type": "Visualization",
"title": "National Climate Assessment Annual Arctic Minimum Sea Ice Extents (1979-2012)",
"description": "The National Climate Assessment (NCA) is a central component of the U.S. Global Change Research Program (USGCRP). Every four years, the NCA is required to produce a report for Congress that integrates, evaluates, and interprets the findings of the USGCRP; analyzes the effects of global change on the natural environment, agriculture, energy production and use, land and water resources, transportation, human health and welfare, human social systems, and biological diversity; and analyzes current trends in global change, both human-induced and natural, and projects major trends for the subsequent 25 to 100 years. A draft of the Third National Climate Assessment report is available on the Federal Advisory Committee website. The final report is slated to be released in 2014. This scientific visualization of annual minimum sea ice area over the Arctic from 1979-2012 is one element of the NCA that highlights findings conveyed in the \"Our Changing Climate\", the \"Alaska and the Arctic\" and the \"Impacts of Climate Change on Tribal, Indigenous, and Native Lands and Resources\" chapters of the draft Third NCA report. This record shows a persistent decline in the minimum extent of Arctic sea ice cover. The satellite observations are from passive microwave sensors and processed using the NASA Team algorithm developed by scientists at NASA Goddard Space Flight Center. The sensors that collected the data are the Scanning Multichannel Microwave Radiometer (SMMR) on the NASA Nimbus-7 satellite and a series of Special Sensor Microwave Imagers (SSM/I) and Special Sensor Microwave Imager and Sounders (SSMIS) on U.S. Department of Defense Meteorological Satellite Program (DMSP) satellites. The data from the different sensors are carefully assembled to assure consistency throughout the 34 year record.This visualization is similar to another developed by NASA, but is based on a slightly different algorithm to process the same sensor data. Both show similar downward trends in minimum sea ice area coverage over this time period. || ",
"release_date": "2013-02-20T00:00:00-05:00",
"update_date": "2024-10-09T00:03:00.169226-04:00",
"main_image": {
"id": 471307,
"url": "http://svs.gsfc.nasa.gov/vis/a000000/a004000/a004004/annminseaice.0899.jpg",
"filename": "annminseaice.0899.jpg",
"media_type": "Image",
"alt_text": "Animation of Annual Minimum Sea Ice Extent over the Arctic from 1979 to 2012. (Final Composite.)This video is also available on our YouTube channel.",
"width": 1920,
"height": 1080,
"pixels": 2073600
}
}
},
{
"id": 407319,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 3889,
"url": "http://svs.gsfc.nasa.gov/3889/",
"page_type": "Visualization",
"title": "Pine Island Glacier Ice Flows and Elevation Change",
"description": "This animation shows glacier changes detected by ATM, ICESat and ice bridge data in the highly dynamic Pine Island Glacier. We know that ice speeds in this area have increased dramatically from the late 1990s to the present as the ice shelves in this area have thinned and the bottom of the ice has lost contact with the bed beneath. As the ice has accelerated, ice upstream of the coast must be stretched more vigorously, causing it to thin. NASA-sponsored aircraft missions first measured the ice surface height in this region in 2002, followed by ICESat data between 2002 and 2009. Ice Bridge aircraft have measured further surface heights in 2009 and 2010, and these measurements continue today. Integrating these altimetry sources allows us to estimate surface height changes throughout the drainage regions of the most important glaciers in the region. We see large and accelerating elevation changes extending inland from the coast on Pine Island glacier shown centered here. The changes on Pine Island mark these as potential continuing sources of ice to the sea, and has been surveyed in 2011 by Ice Bridge aircraft and targeted for repeat measurements in coming years. || ",
"release_date": "2011-11-28T00:00:00-05:00",
"update_date": "2024-10-09T00:01:26.250300-04:00",
"main_image": {
"id": 481488,
"url": "http://svs.gsfc.nasa.gov/vis/a000000/a003800/a003889/PineIsland.2579.jpg",
"filename": "PineIsland.2579.jpg",
"media_type": "Image",
"alt_text": "Animation showing ice velocity and elevation change with dates, labels and colorbars. ",
"width": 1920,
"height": 1080,
"pixels": 2073600
}
}
},
{
"id": 407320,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 10923,
"url": "http://svs.gsfc.nasa.gov/10923/",
"page_type": "Produced Video",
"title": "Flying through the Rift: An update on the crack in the P.I.G.",
"description": "NASA's DC-8 flew over the Pine Island Glacier Ice Shelf on Oct. 14, 2011, as part of Operation IceBridge. A large, long-running crack was plainly visible across the ice shelf. The DC-8 took off on Oct. 26, 2011, to collect more data on the ice shelf and the crack. The area beyond the crack that could calve in the coming months covers about 310 square miles (800 sq. km). || ",
"release_date": "2012-03-06T12:00:00-05:00",
"update_date": "2025-01-06T01:15:52.956020-05:00",
"main_image": {
"id": 478567,
"url": "http://svs.gsfc.nasa.gov/vis/a010000/a010900/a010923/PIG_Crack_update_youtube_hq.00352_print.jpg",
"filename": "PIG_Crack_update_youtube_hq.00352_print.jpg",
"media_type": "Image",
"alt_text": "For complete transcript, click here.",
"width": 1024,
"height": 576,
"pixels": 589824
}
}
},
{
"id": 407321,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 30160,
"url": "http://svs.gsfc.nasa.gov/30160/",
"page_type": "Hyperwall Visual",
"title": "Collapse of the Larsen B Ice Shelf",
"description": "In the Southern Hemisphere summer of 2002, scientists monitoring daily satellite images of the Antarctic Peninsula watched almost the entire Larsen-B Ice Shelf splinter and collapse in just over one month. They had never witnessed such a large area—1250 square miles (~3237 square kilometers)—disintegrate so rapidly. The collapse of the Larsen-B Ice Shelf was captured in this series of images between January 31 and April 13, 2002. At the start of the series, the ice shelf (left) is tattooed with pools of meltwater (blue). By February 17, the leading edge of the C-shaped shelf had retreated about 6 miles (~10 kilometers). By March 7, the shelf had disintegrated into a blue-tinged mixture, or mélange, of slush and icebergs. The collapse appears to have been due to a series of warm summers on the Antarctic Peninsula, which culminated with an exceptionally warm summer in 2002. Warm ocean temperatures in the Weddell Sea that occurred during the same period might have caused thinning and melting on the underside of the ice shelf. || ",
"release_date": "2013-10-17T12:00:00-04:00",
"update_date": "2024-10-10T00:19:31.641337-04:00",
"main_image": {
"id": 428830,
"url": "http://svs.gsfc.nasa.gov/vis/a030000/a030100/a030160/larsen-b_iceshelf_animation_woc_web.png",
"filename": "larsen-b_iceshelf_animation_woc_web.png",
"media_type": "Image",
"alt_text": "MODIS images show Larsen-B collapse between January 31 and April 13, 2002.",
"width": 320,
"height": 180,
"pixels": 57600
}
}
},
{
"id": 407322,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 30055,
"url": "http://svs.gsfc.nasa.gov/30055/",
"page_type": "Hyperwall Visual",
"title": "Columbia Glacier, Alaska",
"description": "The Columbia Glacier in Alaska is one of the most rapidly changing glaciers in the world. These false-color images show how the glacier and the surrounding landscape has changed since 1986. Snow and ice appears bright cyan, vegetation is green, clouds are white or light orange, and the open ocean is dark blue. Exposed bedrock is brown, while rocky debris on the glacier’s surface is gray. By 2011, the terminus had retreated more than 20 kilometers (12 miles) to the north. Since the 1980s, the glacier has lost about half of its total thickness and volume. The retreat of the Columbia contributes to global sea-level rise, mostly through iceberg calving. This one glacier accounts for nearly half of the ice loss in the Chugach Mountains. However, the ice losses are not exclusively tied to increasing air and water temperatures. Climate change may have given the Columbia an initial nudge, but it has more to do with mechanical processes. In fact, when the Columbia reaches the shoreline, its retreat will likely slow down. The more stable surface will cause the rate of calving to decline, making it possible for the glacier to start rebuilding a moraine and advancing once again. || ",
"release_date": "2013-06-27T14:00:00-04:00",
"update_date": "2024-07-15T00:14:09.194852-04:00",
"main_image": {
"id": 428363,
"url": "http://svs.gsfc.nasa.gov/vis/a030000/a030000/a030055/columbia_tm5_2011120_lrg.jpg",
"filename": "columbia_tm5_2011120_lrg.jpg",
"media_type": "Image",
"alt_text": "These false-color images show how the glacier and the surrounding landscape has changed since 1986.",
"width": 1920,
"height": 1080,
"pixels": 2073600
}
}
},
{
"id": 407323,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 30598,
"url": "http://svs.gsfc.nasa.gov/30598/",
"page_type": "Hyperwall Visual",
"title": "SMAP Radar Shows Spring Thaw",
"description": "Feeze/Thaw state for two days in April 2015 || smap_freeze_thaw_2015_pia11399_print.jpg (1024x574) [171.9 KB] || smap_freeze_thaw_2015_pia11399.png (4104x2304) [1022.1 KB] || smap_freeze_thaw_2015_pia11399_searchweb.png (320x180) [72.3 KB] || smap_freeze_thaw_2015_pia11399_thm.png (80x40) [6.8 KB] || smap_freeze_thaw_2015_30598.key [3.9 MB] || smap_freeze_thaw_2015_30598.pptx [1.3 MB] || smap_freeze_thaw_2015_pia11399.hwshow || ",
"release_date": "2015-05-17T00:00:00-04:00",
"update_date": "2025-06-23T00:23:49.381701-04:00",
"main_image": {
"id": 431649,
"url": "http://svs.gsfc.nasa.gov/vis/a030000/a030500/a030598/smap_freeze_thaw_2015_pia11399_print.jpg",
"filename": "smap_freeze_thaw_2015_pia11399_print.jpg",
"media_type": "Image",
"alt_text": "Feeze/Thaw state for two days in April 2015",
"width": 1024,
"height": 574,
"pixels": 587776
}
}
}
],
"extra_data": {}
},
{
"id": 370894,
"url": "http://svs.gsfc.nasa.gov/gallery/hyperwall-themes/#media_group_370894",
"widget": "Tile gallery",
"title": "Earth's Ocean and Water Resources",
"caption": "",
"description": "",
"items": [
{
"id": 407325,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 30008,
"url": "http://svs.gsfc.nasa.gov/30008/",
"page_type": "Hyperwall Visual",
"title": "Multi-scale Ultra-high Resolution Sea Surface Temperature (MUR)",
"description": "These maps are made mostly from the satellite measurements of Sea Surface Temperature (SST), with help from surface observations that come from ships and bouys. Since the 1980's, there are a lot more SST data from satellites than surface observations. SST is invaluable for weather forecasting. But SST is also important for management of fishery, ocean acoustic communication, and the science including studies of climate and marine life. To \"blend\" the SST data from many different satellite is a tricky business. Satellite-based environmental data are usually irregularly sampled and always noisy. Every satellite has a unique sensor that measures SST. The infra-red (IR) type sensor can offer a very high resolution (down to 1 km in horizontal distance) but suffer from contamination by clouds and aerosols that block the signal. The micro-wave (MW) measurements are more reliable because of cloud-penetrating coverage but are coarser (25 km) in resolution and are not useful along the coasts due to contamination from land.So we are interested in making use of the best characteristics of each sensor data — be it resolution or coverage — and finding an optimal and objective ways to fill the data-voids under the clouds and near the coasts. || ",
"release_date": "2013-03-14T00:00:00-04:00",
"update_date": "2025-02-02T23:24:25.663322-05:00",
"main_image": {
"id": 427641,
"url": "http://svs.gsfc.nasa.gov/vis/a030000/a030000/a030008/large_cenlon180_rotate_multi_bm_frame00001_searchweb.png",
"filename": "large_cenlon180_rotate_multi_bm_frame00001_searchweb.png",
"media_type": "Image",
"alt_text": "Multiscale Ultra Resolution Sea Surface Temperature on a rotating globe.",
"width": 320,
"height": 180,
"pixels": 57600
}
}
},
{
"id": 407326,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 3912,
"url": "http://svs.gsfc.nasa.gov/3912/",
"page_type": "Visualization",
"title": "Global Sea Surface Currents and Temperature",
"description": "This visualization shows sea surface current flows. The flows are colored by corresponding sea surface temperature data. This visualization is rendered for display on very high resolution devices like hyperwalls or for print media.This visualization was produced using model output from the joint MIT/JPL project entitled Estimating the Circulation and Climate of the Ocean, Phase II (ECCO2). ECCO2 uses the MIT general circulation model (MITgcm) to synthesize satellite and in-situ data of the global ocean and sea-ice at resolutions that begin to resolve ocean eddies and other narrow current systems, which transport heat and carbon in the oceans. The ECCO2 model simulates ocean flows at all depths, but only surface flows are used in this visualization. || ",
"release_date": "2012-03-16T10:00:00-04:00",
"update_date": "2025-02-18T00:01:26.447913-05:00",
"main_image": {
"id": 479018,
"url": "http://svs.gsfc.nasa.gov/vis/a000000/a003900/a003912/flat_global_ecco2_2028x1024.25000.jpg",
"filename": "flat_global_ecco2_2028x1024.25000.jpg",
"media_type": "Image",
"alt_text": "Global sea surface currents colored by temperature. These are the assembled (contiguous) versions of the animation. There are several resolutions to choose from, some are cropped for various purposes. The 6840x3420 version is the complete, full resolution visualization at the appropriate 2x1 aspect ratio and has not been cropped or resized. The time range for these visualizations is from 2007-03-25T12:00Z to 2008-03-03T12:00Z.",
"width": 2048,
"height": 1024,
"pixels": 2097152
}
}
},
{
"id": 407327,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 4045,
"url": "http://svs.gsfc.nasa.gov/4045/",
"page_type": "Visualization",
"title": "Aquarius Sea Surface Salinity Tour 2012",
"description": "The Aquarius spacecraft is designed to measure global sea surface salinity. It is important to understand salinity, the amount of dissolved salts in water, because it will lead us to better understanding of the water cycle and can lead to improved climate models. Aquarius is a collaboration between NASA and the Space Agency of ArgentinaThis visualization celebrates over a year of successful Aquarius observations. Sea surface salinity is shown at various locations around the globe highlighting the following:the Atlantic Ocean is generally much more salty than the Pacificlow salinity waters in the Eastern Equatorial Pacific are transported westwardhigh influxes of fresh water from the Amazon River basin can be clearly seenlow salinity waters are transported by the Labrador current to the southhigh influxes of fresh water from the Ganges River basin can be seen keeping the Eastern Indian Ocean lower salinity than the Western Indian OceanThe range of time shown is December 2011 through Decemeber 2012. The data continuously loops through this range every 6 seconds. This visualization was generated based on version 2.0 of the Aquarius data products with all 3 scanning beams. || ",
"release_date": "2013-02-27T12:00:00-05:00",
"update_date": "2025-02-02T22:10:40.775151-05:00",
"main_image": {
"id": 467972,
"url": "http://svs.gsfc.nasa.gov/vis/a000000/a004000/a004045/aquarius_final01.03800.jpg",
"filename": "aquarius_final01.03800.jpg",
"media_type": "Image",
"alt_text": "A tour of Aquarius sea surface salinity data highlighting interesting features including: the North Atlantic, Eastern Pacific, Amazon outflow, Labrador current, and Indian Ocean.",
"width": 1920,
"height": 1080,
"pixels": 2073600
}
}
},
{
"id": 407324,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 3884,
"url": "http://svs.gsfc.nasa.gov/3884/",
"page_type": "Visualization",
"title": "Thermohaline Circulation using Improved Flow Field",
"description": "The oceans are mostly composed of warm salty water near the surface over cold, less salty water in the ocean depths. These two regions don't mix except in certain special areas. The ocean currents, the movement of the ocean in the surface layer, are driven primarily by the wind. In certain areas near the polar oceans, the colder surface water also gets saltier due to evaporation or sea ice formation. In these regions, the surface water becomes dense enough to sink to the ocean depths. This pumping of surface water into the deep ocean forces the deep water to move horizontally until it can find an area on the world where it can rise back to the surface and close the current loop. This usually occurs in the equatorial ocean, mostly in the Pacific and Indian Oceans. This very large, slow current is called the thermohaline circulation because it is caused by temperature and salinity (haline) variations.This animation shows one of the major regions where this pumping occurs, the North Atlantic Ocean around Greenland, Iceland, and the North Sea. The surface ocean current brings new water to this region from the South Atlantic via the Gulf Stream and the water returns to the South Atlantic via the North Atlantic Deep Water current. The continual influx of warm water into the North Atlantic polar ocean keeps the regions around Iceland and southern Greenland generally free of sea ice year round.The animation also shows another feature of the global ocean circulation: the Antarctic Circumpolar Current. The region around latitude 60 south is the only part of the Earth where the ocean can flow all the way around the world with no obstruction by land. As a result, both the surface and deep waters flow from west to east around Antarctica. This circumpolar motion links the world's oceans and allows the deep water circulation from the Atlantic to rise in the Indian and Pacific Oceans, thereby closing the surface circulation with the northward flow in the Atlantic.The color on the world's ocean's at the beginning of this animation represents surface water density, with dark regions being most dense and light regions being least dense (see the animation Sea Surface Temperature, Salinity and Density). The depths of the oceans are highly exaggerated (100x in oceans, 20x on land) to better illustrate the differences between the surface flows and deep water flows. The actual flows in this model are based on current theories of the thermohaline circulation rather than actual data. The thermohaline circulation is a very slow moving current that can be difficult to distinguish from general ocean circulation. Therefore, it is difficult to measure or simulate.This version of the visualization combines the Earth look of the original thermohaline visualization with the new thermohaline flow field generated for the Science On a Sphere production, \"Loop\".This version is also designed so it can be played on 3x3 or 5x3 hyperwalls. When playing on a 3x3 hyperwall, use b1 -> d3 tiles. Each individual image tile is 1368x768. || ",
"release_date": "2011-12-05T15:00:00-05:00",
"update_date": "2024-10-13T00:02:38.204644-04:00",
"main_image": {
"id": 481187,
"url": "http://svs.gsfc.nasa.gov/vis/a000000/a003800/a003884/thermohaline_assembled.1920x1080.2000.jpg",
"filename": "thermohaline_assembled.1920x1080.2000.jpg",
"media_type": "Image",
"alt_text": "The center 3x3 hyperwall tiles assembled and reduced to play on laptops and destops.",
"width": 1920,
"height": 1080,
"pixels": 2073600
}
}
},
{
"id": 407328,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 3913,
"url": "http://svs.gsfc.nasa.gov/3913/",
"page_type": "Visualization",
"title": "Gulf Stream Sea Surface Currents and Temperatures",
"description": "This visualization shows the Gulf Stream stretching from the Gulf of Mexico all the way over towards Western Europe. This visualization was designed for a very wide, high resolution display (e.g., a 5x3 hyperwall display).This visualization was produced using model output from the joint MIT/JPL project entitled Estimating the Circulation and Climate of the Ocean, Phase II (ECCO2). ECCO2 uses the MIT general circulation model (MITgcm) to synthesize satellite and in-situ data of the global ocean and sea-ice at resolutions that begin to resolve ocean eddies and other narrow current systems, which transport heat and carbon in the oceans. The ECCO2 model simulates ocean flows at all depths, but only surface flows are used in this visualization. There are 2 versions provided: one with the flows colored with gray, the other with flows colored using sea surface temperature data. The sea surface temperature data is also from the ECCO2 model. The dark patterns under the ocean represent the undersea bathymetry. Topographic land exaggeration is 20x and bathymetric exaggeration is 40x. || ",
"release_date": "2012-02-15T00:00:00-05:00",
"update_date": "2024-10-13T22:08:25.244827-04:00",
"main_image": {
"id": 478966,
"url": "http://svs.gsfc.nasa.gov/vis/a000000/a003900/a003913/gulf_comp_1368x768.c1.27000_print.jpg",
"filename": "gulf_comp_1368x768.c1.27000_print.jpg",
"media_type": "Image",
"alt_text": "Composited flows and starfield hyperwall tile c1",
"width": 1368,
"height": 768,
"pixels": 1050624
}
}
},
{
"id": 407329,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 3958,
"url": "http://svs.gsfc.nasa.gov/3958/",
"page_type": "Visualization",
"title": "OSCAR Ocean Currents with Velocity",
"description": "This visualization shows OSCAR (Ocean Surface Current Analysis Real-time) ocean currents colored by current velocities. OSCAR data (produced by Earth & Space Research and distributed through NOAA and PO.DAAC) is derived from observed satellite altimetry and wind vector data. The visualization runs from January 1, 2008 through July 27, 2012. Blues are slow currents, greens currents are about 0.5 meters per second, and red currents are about 1 meter per second. This visualization was rendered in a variety of sizes from standard 1080p HD to 4k to 6840x3420. The higher resolution versions were rendered for very high resolution display technologies such as hyperwalls and cinema projectors.For more information about the NOAA/NASA OSCAR projects, click here.These visualizations were developed, in part, for display at the \"20 Years of Progress in Radar Altimetry\" Symposium in Venice, Italy in September 2012 and for the Fall 2012 American Geophysical Union conference in December 2012. || ",
"release_date": "2012-09-24T00:00:00-04:00",
"update_date": "2024-10-13T22:10:48.978211-04:00",
"main_image": {
"id": 473286,
"url": "http://svs.gsfc.nasa.gov/vis/a000000/a003900/a003958/oscar_and_grid_cropped.png",
"filename": "oscar_and_grid_cropped.png",
"media_type": "Image",
"alt_text": "A cropped region in the Pacific illustrating the distribution of the actual flow vector data points relative to the flow curves. The white dots represent locations where the OSCAR model defines the ocean current directions. Locations in between are interpolated.",
"width": 320,
"height": 180,
"pixels": 57600
}
}
},
{
"id": 407330,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 30494,
"url": "http://svs.gsfc.nasa.gov/30494/",
"page_type": "Hyperwall Visual",
"title": "Simulated Sea Surface Speeds",
"description": "This simulation shows sea surface speed in ultra-high resolution. Several oceanic characteristics are included in the simulation and are visible in its output; including tides, atmospheric pressure forcing, diurnal cycles, and dynamic/thermodynamic sea ice . The model has a .75 to 2.2 km horizontal grid spacing and 90 vertical levels, with 1-m vertical levels near the surface. The full 3D grid is output at hourly intervals.Yellow shades represent relatively fast sea surface speeds, while red shades represent slower speeds. The simulation was carried out using the Massachusetts Institute of Technology general circulation model (mitgcm.org) by the Estimating the Circulation and Climate of the Ocean (ECCO) group. Credits: C. Hill, G. Forget (MIT)C. Henze, B. Nelson, B. Ciotti (Ames)D. Menemenlis (JPL)A. Chaudhuri (AER)MITgcm/ECCO developers and usersSGI and NAS computer scientists and engineers || ",
"release_date": "2014-03-01T00:00:00-05:00",
"update_date": "2025-02-03T00:38:04.454391-05:00",
"main_image": {
"id": 430402,
"url": "http://svs.gsfc.nasa.gov/vis/a030000/a030400/a030494/llc4320_speed_global_20110913_print.jpg",
"filename": "llc4320_speed_global_20110913_print.jpg",
"media_type": "Image",
"alt_text": "Sea Surface Speeds are simulated in very high resolution.",
"width": 1024,
"height": 576,
"pixels": 589824
}
}
},
{
"id": 407331,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 30504,
"url": "http://svs.gsfc.nasa.gov/30504/",
"page_type": "Hyperwall Visual",
"title": "Wind-Blown Marine Debris from Japanese Tsunami",
"description": "On Friday, March 11, 2011, a magnitude 9.0 undersea megathrust earthquake struck off the Pacific coast of Japan that generated tsunami waves that reached 40.5 meters (~133 feet) high, traveling up to 10 kilometers (6 miles) inland in some areas (e.g., Sendai). The earthquake and resulting tsunami generated an estimated 24-25 million tons of rubble and debris in Japan. This simulation shows how winds near the ocean surface impacted the movement of marine debris as they moved across the Pacific from March 2011 to July 2012. The colors show the percentage of windage, or the amount of force (i.e., wind) created on an object by friction. Objects that float mostly above water are more impacted by the speed of the wind than the speed of the water; therefore, they have high windage values (orange and red shades). These objects move more quickly than objects that float mostly below water that are impacted more by the speed of the water and thus have low windage values (purple and blue shades). The results were used to assess the location of the tsunami debris in the ocean and the timeline of its arrival on the west coast of the United States. The International Pacific Research Center, Surface Currents Diagnostic model was used to run the simulation. || ",
"release_date": "2014-05-13T00:00:00-04:00",
"update_date": "2015-12-03T08:53:26-05:00",
"main_image": {
"id": 430479,
"url": "http://svs.gsfc.nasa.gov/vis/a030000/a030500/a030504/tsunami_debris_jul_2012_web.png",
"filename": "tsunami_debris_jul_2012_web.png",
"media_type": "Image",
"alt_text": "Simulation shows how wind impacted the movement of marine debris.",
"width": 320,
"height": 180,
"pixels": 57600
}
}
},
{
"id": 407332,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 30550,
"url": "http://svs.gsfc.nasa.gov/30550/",
"page_type": "Hyperwall Visual",
"title": "ENSO Sea Surface Temperature Anomalies: 2009-2010",
"description": "Animation of SSTA shows the evolution of the 2009-2010 ENSO. || enso_2009-2010_still_print.jpg (1024x574) [173.4 KB] || enso_2009-2010_still_thm.png (80x40) [7.8 KB] || enso_2009-2010_still_web.jpg (319x179) [27.4 KB] || enso_2009-2010_still_searchweb.png (320x180) [103.4 KB] || enso_2009-2010_720p.mp4 (1280x720) [71.7 MB] || enso_2009-2010_720p.webmhd.webm (960x540) [21.7 MB] || enso_2009-2010_540p.webm (960x540) [15.0 MB] || enso_2009-2010_1080p.mp4 (1920x1080) [111.6 MB] || enso_2009-2010_360p.mp4 (640x360) [30.4 MB] || enso_2009-2010.pptx [71.9 MB] || enso_2009-2010.key [74.4 MB] || enso_2009-2010_2304p.mp4 (4096x2304) [348.1 MB] || ",
"release_date": "2014-11-19T22:00:00-05:00",
"update_date": "2025-02-02T23:35:08.446922-05:00",
"main_image": {
"id": 430811,
"url": "http://svs.gsfc.nasa.gov/vis/a030000/a030500/a030550/enso_2009-2010_still_print.jpg",
"filename": "enso_2009-2010_still_print.jpg",
"media_type": "Image",
"alt_text": "Animation of SSTA shows the evolution of the 2009-2010 ENSO.",
"width": 1024,
"height": 574,
"pixels": 587776
}
}
},
{
"id": 407333,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 30509,
"url": "http://svs.gsfc.nasa.gov/30509/",
"page_type": "Hyperwall Visual",
"title": "Is El Niño Developing?",
"description": "Ten-day average of sea surface height in May 2014 show possible El Niño. || ssha_19970502_20140503_eob83653_print.jpg (1024x575) [131.0 KB] || ssha_19970502_20140503_eob83653.png (2944x1654) [3.0 MB] || ssha_19970502_20140503_eob83653_med.png (640x360) [267.1 KB] || ssha_19970502_20140503_eob83653_web.png (320x180) [82.7 KB] || ssha_19970502_20140503_eob83653_thm.png (80x40) [9.6 KB] || is_el_nino_developing.key [5.8 MB] || is_el_nino_developing.pptx [2.7 MB] || ssha_19970502_20140503_eob83653.hwshow [111 bytes] || ",
"release_date": "2014-05-11T00:00:00-04:00",
"update_date": "2024-10-10T00:21:46.000096-04:00",
"main_image": {
"id": 430499,
"url": "http://svs.gsfc.nasa.gov/vis/a030000/a030500/a030509/ssha_19970502_20140503_eob83653_print.jpg",
"filename": "ssha_19970502_20140503_eob83653_print.jpg",
"media_type": "Image",
"alt_text": "Ten-day average of sea surface height in May 2014 show possible El Niño.",
"width": 1024,
"height": 575,
"pixels": 588800
}
}
},
{
"id": 407334,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 30500,
"url": "http://svs.gsfc.nasa.gov/30500/",
"page_type": "Hyperwall Visual",
"title": "Altimetry: Past, Present and Future",
"description": "Launched in 1978, Seasat was the first NASA Earth-orbiting satellite mission designed to observe the world’s ocean. Seasat carried five major instruments, including a radar altimeter that measured the distance between the satellite and sea surface, indicating global sea surface height and the topography of the ocean surface. This visualization shows the progression of improved data resolution from satellite altimeters in the past, present, and future, beginning with 1.5-degree resolution data in 1978 from Seasat and ending with 0.05-degree resolution data from NASA’s Surface Water and Ocean Topography (SWOT) mission, planned to launch in 2020. A single satellite (Geosat) provided 0.5-degree resolution data from 1986 to 1990, while numerous international satellite missions (ERS-1, TOPEX/Poseidon, ERS-2, Jason-1, Envisat, and Jason-2) have provided 0.25-degree resolution data from 1992 until now. These measurements and their continuity are important for monitoring large-scale features such as Rossby and Kelvin waves, the evolution of El Niño and La Niña events, and variation of global sea level in relation to climate change. SWOT (with 0.05-degree-resolution) will offer an unprecedented combination of spatial and temporal resolution while continuing and extending the ocean altimeter data record for years to come. || ",
"release_date": "2014-05-13T00:00:00-04:00",
"update_date": "2024-10-06T23:56:01.441352-04:00",
"main_image": {
"id": 430425,
"url": "http://svs.gsfc.nasa.gov/vis/a030000/a030500/a030500/altimetry_PODAAC_1978_2022_1700_print.jpg",
"filename": "altimetry_PODAAC_1978_2022_1700_print.jpg",
"media_type": "Image",
"alt_text": "Visualization shows improved altimeter data resolution from 1978 to 2022.",
"width": 1024,
"height": 576,
"pixels": 589824
}
}
},
{
"id": 407335,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 30502,
"url": "http://svs.gsfc.nasa.gov/30502/",
"page_type": "Hyperwall Visual",
"title": "Sea Surface Height Anomalies, 1992-2011",
"description": "Using data from several satellite radar altimeters, a finer picture of the ever-changing height of the ocean is revealed. In this visualization, sea surface height anomalies derived from satellite altimeter data show differences above and below normally observed sea surface heights from 1992 to 2011. Blue shades indicate areas where sea surface height is lower than normal, while red shades indicate areas where sea surface height is higher than normal. Swirling currents called eddies pepper the scene and can be found in every major ocean basin. Near the Equator, ocean eddies give way to fast moving features called Kelvin waves. When they build up in the Pacific, these waves can usher in a phenomenon known as El Niño, which happens when warm water and high sea levels move into the Eastern Pacific along the Equator. Occurring roughly every 3-4 years, El Niño events can have a big impact on weather across the globe, bringing extra rainfall to the American Southwest and even affecting hurricanes in the Atlantic Oceans. Sea surface height data also have many other applications, such as in fisheries management, navigation, and offshore operations. || ",
"release_date": "2014-05-13T00:00:00-04:00",
"update_date": "2024-12-15T23:38:02.241918-05:00",
"main_image": {
"id": 430457,
"url": "http://svs.gsfc.nasa.gov/vis/a030000/a030500/a030502/radar_ssha_jul_2011_web.png",
"filename": "radar_ssha_jul_2011_web.png",
"media_type": "Image",
"alt_text": "Sea surface height anomalies derived from satellite altimeter data.",
"width": 320,
"height": 180,
"pixels": 57600
}
}
},
{
"id": 407336,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 3887,
"url": "http://svs.gsfc.nasa.gov/3887/",
"page_type": "Visualization",
"title": "GEOS-5 Nature Run",
"description": "This visualization shows a Goddard Earth Observing System Model, Version 5 (GEOS-5) run of the 2005 Hurricane Season driven by Sea Surface Temperatures (SST). The simulation was seeded at the beginning of the run and then ran on its own to create the 6 months of output visualized here. What's interesting is that even though the model did not perfectly duplicate all 27 storms from that very active 2005 hurricane season, it does show 23 storms during that same period. Considering this was an anomalous year, the model did a good job of simulating the large number of storms for that season. An innovative aspect of this global model is the ability to represent realistic hurricane intensities, including 6 hurricanes in the Atlantic for 2005 reaching major strength (category 3 or higher on the Saffir-Simpson scale). This finding could help shape future climate models in predicting hurricane season intensities.Ocean colors ranging from blue to orange depict air temperatures 2 meters (T2M) above sea level. Since SSTs are typically measured at sea level and below, the T2M model output behaves somewhat differently. Nonetheless, it is a reasonable proxy to SST. Landcover information is taken from the Next Generation Blue Marble dataset. Sea Ice is depicted as solid white and clouds are shades of white. || ",
"release_date": "2011-12-06T09:00:00-05:00",
"update_date": "2024-12-15T00:01:21.745955-05:00",
"main_image": {
"id": 480843,
"url": "http://svs.gsfc.nasa.gov/vis/a000000/a003800/a003887/nr_v12c_comp.05500.jpg",
"filename": "nr_v12c_comp.05500.jpg",
"media_type": "Image",
"alt_text": "1080p version of the Nature Run hyperwall show. Since hyperwall resolutions are usually much higher than HDTV, hurricane labels and tracks have been enlarged for better viewing on HDTV screens.",
"width": 1920,
"height": 1080,
"pixels": 2073600
}
}
},
{
"id": 407337,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 30019,
"url": "http://svs.gsfc.nasa.gov/30019/",
"page_type": "Hyperwall Visual",
"title": "Hurricane Sandy",
"description": "Surface and near-surface (850 hPa) wind speeds from the NASA Goddard Earth Observing System Model (GEOS-5) operational assimilation system (consisting of a 50-kilometer analysis coupled with a 25-kilometer model) beginning September 1, 2012 preceding a 7-kilometer global simulation with the GEOS-5 atmospheric model initialized at 09Z on October 26, 2012 reveal the massive size of Hurricane Sandy versus the other storms for this period, including the persistent Hurricane Nadine, as well as hurricanes Michael and Rafael. The 7-kilometer simulation depicts the strong onshore winds in New York and New Jersey even after landfall and the dramatic influence of the land surface slowing down Sandy's inland surface winds. || ",
"release_date": "2013-03-08T00:00:00-05:00",
"update_date": "2025-01-06T01:51:20.647550-05:00",
"main_image": {
"id": 427892,
"url": "http://svs.gsfc.nasa.gov/vis/a030000/a030000/a030019/Sandy1_print.jpg",
"filename": "Sandy1_print.jpg",
"media_type": "Image",
"alt_text": "Sea level pressure, wind speeds, and accumulated rainfall from a GEOS-5 28-km simulation versus National Hurricane Center (NHC) observations.",
"width": 1024,
"height": 576,
"pixels": 589824
}
}
},
{
"id": 407338,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 30503,
"url": "http://svs.gsfc.nasa.gov/30503/",
"page_type": "Hyperwall Visual",
"title": "Ocean Bottom Pressure from GRACE",
"description": "The twin Gravity Recovery and Climate Experiment (GRACE) satellites, launched on March 17, 2002, have been making detailed measurements of Earth’s gravity field from space and revolutionizing investigations about Earth's ocean, water reservoirs, large-scale solid Earth changes, and ice cover.To aid in the interpretation of gravity change over the oceans, the GRACE Tellus project provides ocean bottom pressure maps derived from the GRACE satellite data. Ocean bottom pressure is the sum of the mass of the atmosphere and ocean in a \"cylinder\" above the seafloor. This visualization shows monthly changes in ocean bottom pressure data obtained by the GRACE satellites from November 2002 to January 2012. Purple and blue shades indicate regions with relatively low ocean bottom pressure, while red and white shades indicate regions with relatively high ocean bottom pressure. Scientists use these data to observe and monitor changes in deep ocean currents, which transport water and energy around the globe. || ",
"release_date": "2014-05-13T00:00:00-04:00",
"update_date": "2024-12-15T23:38:06.084316-05:00",
"main_image": {
"id": 430444,
"url": "http://svs.gsfc.nasa.gov/vis/a030000/a030500/a030503/grace_ocean_pressure_jan_2012_web.png",
"filename": "grace_ocean_pressure_jan_2012_web.png",
"media_type": "Image",
"alt_text": "Monthly changes in ocean bottom pressure observed by the GRACE satellites.",
"width": 320,
"height": 180,
"pixels": 57600
}
}
},
{
"id": 407339,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 30287,
"url": "http://svs.gsfc.nasa.gov/30287/",
"page_type": "Hyperwall Visual",
"title": "Sediment in the Gulf of Mexico",
"description": "Clouds of sediment colored the Gulf of Mexico on November 10, 2009. Much of the color likely comes from resuspended sediment dredged up from the sea floor in shallow waters. The sediment-colored water transitions to clearer dark blue near the edge of the continental shelf, where the water becomes deeper. The ocean turbulence that brought the sediment to the surface is readily evident in the textured waves and eddies within the tan and green waters. Tropical Storm Ida had come ashore over Alabama and Florida, immediately east of the area shown here, a few hours before the image was acquired. The storm’s wind and waves may have churned up waters farther west. A second source of sediment is visible along the shore. Many rivers, including the Mississippi River, drain into the Gulf of Mexico in this region. The river plumes are dark brown that fade to tan and green as the sediment dissipates. || ",
"release_date": "2013-10-21T12:00:00-04:00",
"update_date": "2024-10-10T00:20:07.128249-04:00",
"main_image": {
"id": 429292,
"url": "http://svs.gsfc.nasa.gov/vis/a030000/a030200/a030287/phytoplankton_gulf_of_mexico_2009314_print.jpg",
"filename": "phytoplankton_gulf_of_mexico_2009314_print.jpg",
"media_type": "Image",
"alt_text": "Clouds of sediment colored the Gulf of Mexico on November 10, 2009.",
"width": 1024,
"height": 576,
"pixels": 589824
}
}
},
{
"id": 407340,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 30289,
"url": "http://svs.gsfc.nasa.gov/30289/",
"page_type": "Hyperwall Visual",
"title": "A Decade of Ocean Color",
"description": "A decade of observations from the SeaWiFS satellite are represented in this image, which shows average chlorophyll concentrations in Earth’s oceans from mid-September 1997 through the end of August 2007. Areas where plants thrive are light blue and yellow, while less productive regions are dark blue. The satellite records the amount of light that chlorophyll is soaking up as the plant converts light, water, and carbon dioxide into glucose and oxygen through photosynthesis. In general, high chlorophyll corresponds with a high number of healthy plants. The global relationship between temperature and productivity was one that scientists first observed in SeaWiFS data. The places with the lowest chlorophyll concentrations are in the tropics, while the cold waters in the Arctic and Antarctic have high chlorophyll concentrations. What the image does not show is that the growth at the poles is seasonal. The plants only flourish during the spring and summer when there is sufficient light to fuel photosynthesis. || ",
"release_date": "2013-10-21T12:00:00-04:00",
"update_date": "2024-10-10T00:20:07.377499-04:00",
"main_image": {
"id": 429311,
"url": "http://svs.gsfc.nasa.gov/vis/a030000/a030200/a030289/phytoplankton_decade_of_seawifs_97-07_print.jpg",
"filename": "phytoplankton_decade_of_seawifs_97-07_print.jpg",
"media_type": "Image",
"alt_text": "A decade of observations from the SeaWiFS satellite.",
"width": 1024,
"height": 576,
"pixels": 589824
}
}
},
{
"id": 407341,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 30073,
"url": "http://svs.gsfc.nasa.gov/30073/",
"page_type": "Hyperwall Visual",
"title": "Water Level in Lake Powell",
"description": "Among the dams on the Colorado River is the Glen Canyon Dam, which creates Lake Powell. This series of natural-color Landsat images shows the dramatic drop in Lake Powell’s water level between 1999 and 2025 caused by prolonged drought and water withdrawals.",
"release_date": "2017-09-01T12:00:00-04:00",
"update_date": "2025-06-12T13:14:06.314411-04:00",
"main_image": {
"id": 428465,
"url": "http://svs.gsfc.nasa.gov/vis/a030000/a030000/a030073/lake_powell_1280x720_print.jpg",
"filename": "lake_powell_1280x720_print.jpg",
"media_type": "Image",
"alt_text": "Landsat images show Lake Powell's water levels drop between 1999 and 2025.",
"width": 1024,
"height": 576,
"pixels": 589824
}
}
},
{
"id": 407342,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 30158,
"url": "http://svs.gsfc.nasa.gov/30158/",
"page_type": "Hyperwall Visual",
"title": "Drought Cycles in Australia",
"description": "Drought is a frequent visitor in Australia. The Australian Bureau of Meteorology describes the typical rainfall over much of the continent as “not only low, but highly erratic.” These satellite-based vegetation images document what farmers and ranchers have had to contend with over the past decade. The images are centered on the agricultural areas near the Murray River—Australia’s largest river—between Hume Reservoir and Lake Tyrrell. The series shows vegetation growing conditions for a 16-day period in the middle of September each year from 2000 through 2010 compared to the average mid-September conditions over the decade. Places where the amount and/or health of vegetation was above the decadal average are green, average areas are off-white, and places where vegetation growth was below average are brown. || ",
"release_date": "2013-10-17T12:00:00-04:00",
"update_date": "2024-10-10T00:19:31.126377-04:00",
"main_image": {
"id": 428822,
"url": "http://svs.gsfc.nasa.gov/vis/a030000/a030100/a030158/woc_DroughtCycles_Australia_web.png",
"filename": "woc_DroughtCycles_Australia_web.png",
"media_type": "Image",
"alt_text": "Vegetation conditions for a 16-day period in September, 2000 to 2010.",
"width": 320,
"height": 180,
"pixels": 57600
}
}
},
{
"id": 407343,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 3623,
"url": "http://svs.gsfc.nasa.gov/3623/",
"page_type": "Visualization",
"title": "Groundwater Depletion in India Revealed by GRACE",
"description": "Scientists using data from NASA's Gravity Recovery and Climate Experiment (GRACE) have found that the groundwater beneath Northern India has been receding by as much as one foot per year over the past decade. After examining many environmental and climate factors, the team of hydrologists led by Matt Rodell of NASA's Goddard Space Flight Center, Greenbelt, Md. concluded that the loss is almost entirely due to human consumption.Groundwater comes from the natural percolation of precipitation and other surface waters down through Earth's soil and rock, accumulating in aquifers - cavities and layers of porous rock, gravel, sand, or clay. In some subterranean reservoirs, the water may be thousands to millions of years old; in others, water levels decline and rise again naturally each year. Groundwater levels do not respond to changes in weather as rapidly as lakes, streams, and rivers do. So when groundwater is pumped for irrigation or other uses, recharge to the original levels can take months or years. More than 109 cubic km (26 cubic miles) of groundwater disappeared from the region's aquifers between 2002 and 2008 — double the capacity of India's largest surface water reservoir, the Upper Wainganga, and triple that of Lake Mead, the largest manmade reservoir in the U.S. The animation shown here depicts the change in groundwater levels as measured each November between 2002 to 2008. || ",
"release_date": "2009-08-12T00:00:00-04:00",
"update_date": "2024-10-09T15:45:12.759437-04:00",
"main_image": {
"id": 496796,
"url": "http://svs.gsfc.nasa.gov/vis/a000000/a003600/a003623/grace_smooth_idl33.0350.jpg",
"filename": "grace_smooth_idl33.0350.jpg",
"media_type": "Image",
"alt_text": "Groundwater depletion, without color bar",
"width": 1280,
"height": 720,
"pixels": 921600
}
}
},
{
"id": 407344,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 30489,
"url": "http://svs.gsfc.nasa.gov/30489/",
"page_type": "Hyperwall Visual",
"title": "La Niña: Sea Surface Temperature and Height Anomalies",
"description": "The animation illustrates the evolution of sea surface temperature (SST) and sea surface height (SSH) anomalies (relative to the respective normal state) associated with the 2010-11 La Niña in the Pacific Ocean. SST and SSH anomalies reflect the heat content in the mixed layer (approximately upper 50 m) and the upper ocean (approximately upper 150 m) respectively. Warm/cold SST anomalies often are associated with high/low SSH anomalies. They provide complimentary views of the oceanic signature of climate variability such as El Niño and La Niña . La Niña is the cooling phase of an interannual mode of climate variability called El Niño-Southern Oscillation. Initial cooling appeared in the eastern to central equatorial Pacific around June 2010 and grew into a relatively strong La Niña event in late 2010. The event persists beyond February 2011. || ",
"release_date": "2014-02-07T00:00:00-05:00",
"update_date": "2024-12-15T23:36:17.748001-05:00",
"main_image": {
"id": 430293,
"url": "http://svs.gsfc.nasa.gov/vis/a030000/a030400/a030489/ssta_ssha_201006-201201_web.png",
"filename": "ssta_ssha_201006-201201_web.png",
"media_type": "Image",
"alt_text": "La Niña reveals itself in Sea Surface Temperature and Height.",
"width": 320,
"height": 180,
"pixels": 57600
}
}
},
{
"id": 407345,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 30054,
"url": "http://svs.gsfc.nasa.gov/30054/",
"page_type": "Hyperwall Visual",
"title": "Thirst for Water: Crop Circles in the Desert",
"description": "Over the past three decades, Saudi Arabia has been drilling for a resource more precious than oil. Engineers and farmers have tapped ancient reserves of water, dating back to the last Ice Age, to grow crops in the desert. This series of false-color satellite images show the evolution of agricultural operations in the Wadi As-Sirhan Basin. New vegetation appears bright green while dry vegetation or fallow fields appear rust colored. Dry, barren surfaces (mostly desert) are pink and yellow. Saudi Arabians have reached this underground water source by drilling wells through sedimentary rock, as much as a kilometer beneath the desert sands. Rainfall averages just 100 to 200 millimeters per year and usually does not recharge the underground aquifers, making the groundwater a non-renewable source. Although no one knows how much water lies beneath the desert—estimates range from 252 to 870 cubic kilometers—hydrologists believe it will only be economical to pump it for about 50 years. || ",
"release_date": "2013-06-26T13:00:00-04:00",
"update_date": "2015-12-02T14:56:48.410001-05:00",
"main_image": {
"id": 428340,
"url": "http://svs.gsfc.nasa.gov/vis/a030000/a030000/a030054/thirst_for_water_1280x720_print.jpg",
"filename": "thirst_for_water_1280x720_print.jpg",
"media_type": "Image",
"alt_text": "This series of false-color satellite images show the evolution of agricultural operations in the Wadi As-Sirhan Basin.",
"width": 1024,
"height": 576,
"pixels": 589824
}
}
},
{
"id": 407346,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 30045,
"url": "http://svs.gsfc.nasa.gov/30045/",
"page_type": "Hyperwall Visual",
"title": "Looking for Water Amidst the Heat",
"description": "In Southern California irrigated farmland stretches north- and southward from the Salton Sea—an artificial inland sea in the desert. Blocks of square farmland appear in shades of green and tan in the natural-color image acquired on March 24, 2013 by the Operational Land Imager onboard the Landsat Data Continuity Mission—now renamed Landsat-8. On that same day, thermal measurements from the Thermal Infrared Sensor (grayscale image) show that the crops had different temperatures—specifically, cooler areas appear as dark shades, while warmer areas appear as bright shades. Dark pixels—representing cooler areas—in thermal images from TIRS help water managers determine where water is being used for irrigation. Plants cool down when they transpire, so the combination of water evaporating from the plants and the ground (i.e., evapotranspiration) lowers the temperature of the irrigated land. Scientists use these thermal measurements to calculate how much water agricultural fields are using. || ",
"release_date": "2013-06-18T00:00:00-04:00",
"update_date": "2024-12-15T23:32:32.739504-05:00",
"main_image": {
"id": 428284,
"url": "http://svs.gsfc.nasa.gov/vis/a030000/a030000/a030045/salton_sea_00349_print.jpg",
"filename": "salton_sea_00349_print.jpg",
"media_type": "Image",
"alt_text": "Animation of Southern California irrigated farmland by the Salton Sea—an artificial inland sea in the desert. the anaimation of the thermal measurements from the Thermal Infrared Sensor. ",
"width": 1024,
"height": 574,
"pixels": 587776
}
}
},
{
"id": 407347,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 30521,
"url": "http://svs.gsfc.nasa.gov/30521/",
"page_type": "Hyperwall Visual",
"title": "California Drought",
"description": "The NASA Gravity Recovery and Climate Experiment (GRACE) mission, launched in 2002, maps changes in Earth's gravity field resulting from the movement of water over the planet. As water moves around the globe — for example, due to flooding in some regions and drought in others — GRACE acts like a 'scale in the sky,' mapping the regions of Earth that are gaining or losing water each month. The GRACE mission has been particularly successful in monitoring the melting of the Greenland and Antartic ice sheets, and in mapping changing freshwater storage on land. This animation shows how the total amount of water (all of the snow, surface water, soil moisture and groundwater) varies in space and time, with the passage of dry seasons and wet seasons as well as with flooding, drought and transport due to water management Blue colors represent wetter than average conditions (relative to the 2002-2013 time period) and the red colors represent drier than average conditions. The graph at the left shows the monthly changes for the average of map region outlined in yellow. The yellow line in the graph at the left shows interannual variations.The Sacramento and San Joaquiin River basins are outlined in yellow and the rivers and their tributaries are shown by the blue lines. The basins include California's Central Valley, the most productive agricultural region in the United States. Ongoing drought in California has drained the state of nearly 15 cubic kilometers (12 miillion acre feet; 4 trillion gallons) of water in each of the last 3 years. Much of the loss is a result of groundwater depletion. Limited rainfall and snowmelt throughout the state has forced agriculture and cities to rely more heavily on groundwater reserves, resulting in rapid depletion of the aquifer beneath the Central Valley. At least 50% of the annual water loss is due to the removal of groundwater. || ",
"release_date": "2014-10-01T23:00:00-04:00",
"update_date": "2024-10-13T23:38:45.811659-04:00",
"main_image": {
"id": 430603,
"url": "http://svs.gsfc.nasa.gov/vis/a030000/a030500/a030521/grace_ca_drought_v4_0128_print.jpg",
"filename": "grace_ca_drought_v4_0128_print.jpg",
"media_type": "Image",
"alt_text": "GRACE gravity data reveals water deficit in California.",
"width": 1024,
"height": 574,
"pixels": 587776
}
}
},
{
"id": 407348,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 30512,
"url": "http://svs.gsfc.nasa.gov/30512/",
"page_type": "Hyperwall Visual",
"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. || ",
"release_date": "2014-06-02T00:00:00-04:00",
"update_date": "2024-12-15T23:38:09.748155-05:00",
"main_image": {
"id": 430519,
"url": "http://svs.gsfc.nasa.gov/vis/a030000/a030500/a030512/average_PIC_2022-2014_aqua_modis_1280.png",
"filename": "average_PIC_2022-2014_aqua_modis_1280.png",
"media_type": "Image",
"alt_text": "The Great Calcite Belt is a region of high producitvity encircling the Southern Ocean. This image of average PIC between 2002 and 2014 shows the belt as a light teal stripe in the Southern Ocean.",
"width": 1280,
"height": 640,
"pixels": 819200
}
}
},
{
"id": 407349,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 4233,
"url": "http://svs.gsfc.nasa.gov/4233/",
"page_type": "Visualization",
"title": "Aquarius Sea Surface Salinity 2011-2014 - Flat Maps",
"description": "Rectangular flat map projection (Atlantic-centered) with grid lines showing Sea Surface Salinity measurements taken by Aquarius between September 2011 and September 2014. || aquarius_sss_3yrs_atlantic_rect_grid0000_print.jpg (1024x576) [136.5 KB] || aquarius_sss_3yrs_atlantic_rect_grid0000_searchweb.png (320x180) [88.6 KB] || aquarius_sss_3yrs_atlantic_rect_grid0000_thm.png (80x40) [7.8 KB] || aquarius_sss_3yrs_atlantic_rect_grid0000_web.png (320x180) [88.6 KB] || aquarius_sss_3yrs_atlantic_rect_grid_1080.mp4 (1920x1080) [24.6 MB] || aquarius_sss_3yrs_atlantic_rect_grid_1080.webmhd.webm (960x540) [8.5 MB] || aquarius_sss_3yrs_atlantic_rect_grid (1920x1080) [0 Item(s)] || ",
"release_date": "2014-11-06T00:00:00-05:00",
"update_date": "2025-02-02T22:16:01.146246-05:00",
"main_image": {
"id": 449511,
"url": "http://svs.gsfc.nasa.gov/vis/a000000/a004200/a004233/aquarius_sss_3yrs_atlantic_rect_grid0000_print.jpg",
"filename": "aquarius_sss_3yrs_atlantic_rect_grid0000_print.jpg",
"media_type": "Image",
"alt_text": "Rectangular flat map projection (Atlantic-centered) with grid lines showing Sea Surface Salinity measurements taken by Aquarius between September 2011 and September 2014. ",
"width": 1024,
"height": 576,
"pixels": 589824
}
}
},
{
"id": 407350,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 30583,
"url": "http://svs.gsfc.nasa.gov/30583/",
"page_type": "Hyperwall Visual",
"title": "AXIOM-1 Sea Surface Salinity, Sea Ice Thickness and Atmospheric Precipitable Water",
"description": "This animation shows sea surface sailinity, sea ice thickness, and atmospheric precipitable water. || 0001_print.jpg (1024x576) [234.1 KB] || 0001_searchweb.png (180x320) [120.0 KB] || 0001_web.png (320x180) [120.0 KB] || 0001_thm.png (80x40) [8.0 KB] || sss-1920x1080.webm (1920x1080) [16.1 MB] || axiom_salinity_h265_720p.mp4 (1280x720) [109.1 MB] || axiom_salinity_720p.mp4 (1280x720) [166.0 MB] || sss-1920x1080.mp4 (1920x1080) [976.2 MB] || sss (5760x3240) [128.0 KB] || axiom_salinity_h265_2304p.mp4 (4096x2304) [1.0 GB] || ocean+salinity_ice_thickness_precip_water_30583.key [983.1 MB] || ocean+salinity_ice_thickness_precip_water_30583.pptx [979.9 MB] || axiom_salinity_2304p.mp4 (4096x2304) [1.5 GB] || ",
"release_date": "2015-02-13T00:00:00-05:00",
"update_date": "2024-12-15T23:40:26.546017-05:00",
"main_image": {
"id": 431512,
"url": "http://svs.gsfc.nasa.gov/vis/a030000/a030500/a030583/0001_print.jpg",
"filename": "0001_print.jpg",
"media_type": "Image",
"alt_text": "This animation shows sea surface sailinity, sea ice thickness, and atmospheric precipitable water.",
"width": 1024,
"height": 576,
"pixels": 589824
}
}
},
{
"id": 407351,
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"extra_data": null,
"instance": {
"id": 30582,
"url": "http://svs.gsfc.nasa.gov/30582/",
"page_type": "Infographic",
"title": "SMAP applications infographic",
"description": "SMAP applications infographic || smap_inforgraphic_title_slide_print.jpg (1024x576) [234.1 KB] || smap_inforgraphic_title_slide_web.jpg (320x180) [70.5 KB] || smap_inforgraphic_title_slide_searchweb.png (320x180) [115.9 KB] || smap_inforgraphic_title_slide_thm.png (80x40) [24.6 KB] || smap_inforgraphic_title_slide.tif (5760x3240) [11.0 MB] || smap_inforgraphic_title_slide.hwshow [163 bytes] || ",
"release_date": "2015-02-05T16:00:00-05:00",
"update_date": "2024-10-10T00:22:42.206349-04:00",
"main_image": {
"id": 431416,
"url": "http://svs.gsfc.nasa.gov/vis/a030000/a030500/a030582/smap_inforgraphic_title_slide_print.jpg",
"filename": "smap_inforgraphic_title_slide_print.jpg",
"media_type": "Image",
"alt_text": "SMAP applications infographic",
"width": 1024,
"height": 576,
"pixels": 589824
}
}
},
{
"id": 407352,
"type": "details_page",
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"instance": {
"id": 30601,
"url": "http://svs.gsfc.nasa.gov/30601/",
"page_type": "Hyperwall Visual",
"title": "SMAP's First High-Resolution Global Soil Moisture Map",
"description": "A global map of soil moisture || smap_global_moisture_20150504-20150511_PIA19337_print.jpg (1024x576) [113.1 KB] || smap_global_moisture_20150504-20150511_PIA19337.png (5760x3240) [5.3 MB] || smap_global_moisture_20150504-20150511_PIA19337_searchweb.png (320x180) [43.4 KB] || smap_global_moisture_20150504-20150511_PIA19337_thm.png (80x40) [4.7 KB] || smap_global_moisture_30601.pptx [5.8 MB] || smap_global_moisture_30601.key [8.5 MB] || smap_global_moisture_20150504-20150511_PIA19337.hwshow [262 bytes] || ",
"release_date": "2015-05-20T00:00:00-04:00",
"update_date": "2024-10-10T00:22:53.807376-04:00",
"main_image": {
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"filename": "smap_global_moisture_20150504-20150511_PIA19337_print.jpg",
"media_type": "Image",
"alt_text": "A global map of soil moisture",
"width": 1024,
"height": 576,
"pixels": 589824
}
}
},
{
"id": 407353,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 30599,
"url": "http://svs.gsfc.nasa.gov/30599/",
"page_type": "Hyperwall Visual",
"title": "Soil Moisture Maps and Australian Rainfall",
"description": "A series of images shows soil moisture and flooding in Australia. || smap_rainfall_australia_april_2015_print.jpg (1024x574) [129.9 KB] || smap_rainfall_australia_april_2015.png (4104x2304) [1.6 MB] || smap_rainfall_australia_april_2015_searchweb.png (180x320) [62.4 KB] || smap_rainfall_australia_april_2015_thm.png (80x40) [6.9 KB] || smap_rainfall_australia_april_2015_30599.key [4.6 MB] || smap_rainfall_australia_april_2015_30599.pptx [2.0 MB] || smap_rainfall_australia_april_2015.hwshow [236 bytes] || ",
"release_date": "2015-05-17T00:00:00-04:00",
"update_date": "2024-10-10T00:22:53.631062-04:00",
"main_image": {
"id": 431655,
"url": "http://svs.gsfc.nasa.gov/vis/a030000/a030500/a030599/smap_rainfall_australia_april_2015_print.jpg",
"filename": "smap_rainfall_australia_april_2015_print.jpg",
"media_type": "Image",
"alt_text": "A series of images shows soil moisture and flooding in Australia.",
"width": 1024,
"height": 574,
"pixels": 587776
}
}
},
{
"id": 407355,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 4283,
"url": "http://svs.gsfc.nasa.gov/4283/",
"page_type": "Visualization",
"title": "Painting the World with Water",
"description": "An animation depicting the build-up of precipitation data on the globe from the Global Precipitation Measurement constellation of satellites, resulting in the IMERG global precipitation data set. || GPM_Fleet_IMERG_globe.00556_print.jpg (1024x576) [66.4 KB] || GPM_Fleet_IMERG_globe.00556_searchweb.png (180x320) [41.1 KB] || GPM_Fleet_IMERG_globe.00556_web.png (320x180) [41.1 KB] || GPM_Fleet_IMERG_globe.00556_thm.png (80x40) [3.7 KB] || GPM_Fleet_IMERG_globe.webm (1920x1080) [5.8 MB] || GPM_Fleet_IMERG_globe.mp4 (1920x1080) [55.2 MB] || globecomposite (1920x1080) [128.0 KB] || GPM_Fleet_IMERG_globe_4283.pptx [55.9 MB] || GPM_Fleet_IMERG_globe_4283.key [58.4 MB] || GPM_Fleet_IMERG_globe.mp4.hwshow [214 bytes] || ",
"release_date": "2015-03-31T12:00:00-04:00",
"update_date": "2024-10-09T00:05:17.530204-04:00",
"main_image": {
"id": 444552,
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"filename": "GPM_Fleet_IMERG_globe.00556_print.jpg",
"media_type": "Image",
"alt_text": "An animation depicting the build-up of precipitation data on the globe from the Global Precipitation Measurement constellation of satellites, resulting in the IMERG global precipitation data set.",
"width": 1024,
"height": 576,
"pixels": 589824
}
}
},
{
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"type": "details_page",
"extra_data": null,
"instance": {
"id": 4284,
"url": "http://svs.gsfc.nasa.gov/4284/",
"page_type": "Visualization",
"title": "Accumulated Precipitation from the IMERG Global Precipitation Data",
"description": "An animation showing global precipitation accumulating from 8/4/2014 through 8/10/2014. The very large accumulation near Japan is Typhoon Halong. This accumulation is calculated from the IMERG precipitation dataset.This video is also available on our YouTube channel. || GPM_accumulation_1080p.00336_print.jpg (1024x576) [293.6 KB] || GPM_accumulation_1080p.00336_searchweb.png (320x180) [122.4 KB] || GPM_accumulation_1080p.00336_web.png (320x180) [122.4 KB] || GPM_accumulation_1080p.00336_thm.png (80x40) [8.6 KB] || flatcomposite (1920x1080) [32.0 KB] || GPM_accumulation_1080p.mp4 (1920x1080) [13.7 MB] || GPM_accumulation_1080p.webm (1920x1080) [1.4 MB] || flatcomposite (3600x1800) [32.0 KB] || flatalpha (3600x1800) [32.0 KB] || GPM_accumulation_1080p_4284.key [17.8 MB] || GPM_accumulation_1080p_4284.pptx [15.1 MB] || ",
"release_date": "2015-03-31T00:00:00-04:00",
"update_date": "2024-12-15T22:20:13.201613-05:00",
"main_image": {
"id": 444520,
"url": "http://svs.gsfc.nasa.gov/vis/a000000/a004200/a004284/GPM_accumulation_1080p.00336_print.jpg",
"filename": "GPM_accumulation_1080p.00336_print.jpg",
"media_type": "Image",
"alt_text": "An animation showing global precipitation accumulating from 8/4/2014 through 8/10/2014. The very large accumulation near Japan is Typhoon Halong. This accumulation is calculated from the IMERG precipitation dataset.This video is also available on our YouTube channel.",
"width": 1024,
"height": 576,
"pixels": 589824
}
}
},
{
"id": 407356,
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"extra_data": null,
"instance": {
"id": 30584,
"url": "http://svs.gsfc.nasa.gov/30584/",
"page_type": "Hyperwall Visual",
"title": "AXIOM-1 Ocean chlorophyll, Sea Ice Thickness and Atmospheric Precipitable Water",
"description": "This animation shows ocean surface chlorophyll concentration, sea ice thickness, and atmospheric precipitable water. || 0001_print.jpg (1024x576) [236.0 KB] || 0001_searchweb.png (320x180) [121.0 KB] || 0001_web.png (320x180) [121.0 KB] || 0001_thm.png (80x40) [8.0 KB] || chl-1920x1080.webm (1920x1080) [15.9 MB] || axiom_chl_720p.mp4 (1280x720) [161.2 MB] || axiom_chl_h265_720p.mp4 (1280x720) [105.5 MB] || chl-1920x1080.mp4 (1920x1080) [889.5 MB] || chl (5760x3240) [128.0 KB] || axiom_chl_h265_2304p.mp4 (4096x2304) [913.8 MB] || chlorophyll_ice_thickness_precip_water_30584.key [896.4 MB] || chlorophyll_ice_thickness_precip_water_30584.pptx [893.1 MB] || axiom_chl_2304p.mp4 (4096x2304) [1.4 GB] || ",
"release_date": "2015-02-13T00:00:00-05:00",
"update_date": "2024-12-15T23:40:35.468046-05:00",
"main_image": {
"id": 431544,
"url": "http://svs.gsfc.nasa.gov/vis/a030000/a030500/a030584/0001_print.jpg",
"filename": "0001_print.jpg",
"media_type": "Image",
"alt_text": "This animation shows ocean surface chlorophyll concentration, sea ice thickness, and atmospheric precipitable water.",
"width": 1024,
"height": 576,
"pixels": 589824
}
}
},
{
"id": 407357,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 4270,
"url": "http://svs.gsfc.nasa.gov/4270/",
"page_type": "Visualization",
"title": "Megadroughts in U.S. West Projected to be Worst of the Millennium",
"description": "Soil moisture (surface down to 30cm) from 1950 to 2095 based on a 10 year moving average of 17 CMIP5 models using a high future emissions scenario (RCP 8.5). The year shown is the middle of the 10-year moving average.This video is also available on our YouTube channel. || print10yr_-3to3_rcp85_1700_print.jpg (1024x576) [75.8 KB] || print10yr_-3to3_rcp85_1700.png (5760x3240) [10.6 MB] || 10yr_-3to3_rcp85_1700_searchweb.png (320x180) [48.3 KB] || 10yr_-3to3_rcp85_1700_thm.png (80x40) [4.8 KB] || 10yr_-3to3_rcp85.webm (1920x1080) [1.7 MB] || 10yr_-3to3_rcp85.mp4 (1920x1080) [3.3 MB] || 10yr_-3to3_rcp85 (1920x1080) [32.0 KB] || 10yr_-3to3_rcp85_comp_1080p30.mp4 (1920x1080) [3.6 MB] || comp_rcp85 (1920x1080) [32.0 KB] || 10yr_-3to3_rcp85.m4v (640x360) [2.0 MB] || 10yr_-3to3_rcp85.hwshow [195 bytes] || print10yr_-3to3_rcp85_1700.hwshow [205 bytes] || ",
"release_date": "2015-02-12T13:30:00-05:00",
"update_date": "2024-10-09T00:04:52.127377-04:00",
"main_image": {
"id": 446614,
"url": "http://svs.gsfc.nasa.gov/vis/a000000/a004200/a004270/print10yr_-3to3_rcp85_1700_print.jpg",
"filename": "print10yr_-3to3_rcp85_1700_print.jpg",
"media_type": "Image",
"alt_text": "Print resolution still of 2090->2099 average with the RCP8.5 scenario",
"width": 1024,
"height": 576,
"pixels": 589824
}
}
},
{
"id": 407358,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 4240,
"url": "http://svs.gsfc.nasa.gov/4240/",
"page_type": "Visualization",
"title": "CCMP Winds from June through October 2011",
"description": "North Atlantic surface wind vector flow lines over sea surface temperature from June 1, 2011 to October 31, 2011. || ccmp_atlantic_sstHD36.4800_print.jpg (1024x576) [249.9 KB] || ccmp_atlantic_sstHD36.webm (1920x1080) [37.2 MB] || ccmp_atlantic_sstHD36 (1920x1080) [0 Item(s)] || ccmp_atlantic_sstHD36.mp4 (1920x1080) [593.5 MB] || ccmp_atlantic_sstHD36.m4v (640x360) [44.2 MB] || ccmp_atlantic_sst35 (5760x3240) [0 Item(s)] || CCMP_atlantic_sstHD36.key [150.9 MB] || CCMP_atlantic_sstHD36.pptx [149.1 MB] || ",
"release_date": "2015-02-09T14:00:00-05:00",
"update_date": "2025-02-02T22:19:33.300128-05:00",
"main_image": {
"id": 448680,
"url": "http://svs.gsfc.nasa.gov/vis/a000000/a004200/a004240/ccmp_global_sstHD35.4800_print.jpg",
"filename": "ccmp_global_sstHD35.4800_print.jpg",
"media_type": "Image",
"alt_text": "Global surface wind vector flow lines over sea surface temperature from June 1, 2011 to October 31, 2011.",
"width": 1024,
"height": 576,
"pixels": 589824
}
}
},
{
"id": 407359,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 30552,
"url": "http://svs.gsfc.nasa.gov/30552/",
"page_type": "Hyperwall Visual",
"title": "Updated ECCO (2014)",
"description": "Global view of Sea Surface Temperature || Globe-00000001_print.jpg (1024x579) [92.5 KB] || Globe-00000001.png (5760x3240) [9.7 MB] || Globe-00000001_web.jpg (318x180) [9.6 KB] || Globe-00000001_searchweb.png (180x320) [40.9 KB] || Globe-00000001_web.png (320x180) [40.9 KB] || ecco_sea_surface_speed_globe_720p.mp4 (1280x720) [82.3 MB] || ecco_sea_surface_speed_globe_720p.webm (1280x720) [13.1 MB] || ecco_sea_surface_speed_globe_1080p.mp4 (1920x1080) [199.3 MB] || ecco_sea_surface_speed_globe_2160p.mp4 (3240x2160) [621.1 MB] || ",
"release_date": "2014-11-26T00:00:00-05:00",
"update_date": "2025-02-02T23:35:43.122030-05:00",
"main_image": {
"id": 431244,
"url": "http://svs.gsfc.nasa.gov/vis/a030000/a030500/a030552/Globe-00000001_print.jpg",
"filename": "Globe-00000001_print.jpg",
"media_type": "Image",
"alt_text": "Global view of Sea Surface Temperature",
"width": 1024,
"height": 579,
"pixels": 592896
}
}
}
],
"extra_data": {}
},
{
"id": 370895,
"url": "http://svs.gsfc.nasa.gov/gallery/hyperwall-themes/#media_group_370895",
"widget": "Tile gallery",
"title": "Atmospheric Composition and Aerosols",
"caption": "",
"description": "",
"items": [
{
"id": 407360,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 30515,
"url": "http://svs.gsfc.nasa.gov/30515/",
"page_type": "Hyperwall Visual",
"title": "Simulated Atmospheric Carbon Concentrations",
"description": "Carbon exists in many forms—e.g., carbon dioxide (CO2), carbon monoxide (CO)—and continually cycles through Earth’s atmosphere, ocean, and terrestrial ecosystems. This visualization, created using data from the 7-km GEOS-5 Nature Run model, shows average column concentrations of atmospheric CO2 (colored shades) and CO (white shades underneath) from January 1, 2006 to December 31, 2006.CO2 variations are largely controlled by fossil fuel emissions and seasonal fluxes of carbon between the atmosphere and land biosphere. For example, dark red and pink shades represent regions where CO2 concentrations are enhanced by carbon sources, mainly from human activities. During Northern Hemisphere spring and summer months, plants absorb a substantial amount of CO2 through photosynthesis, thus removing CO2 from the atmosphere. Atmospheric CO, a pollutant harmful to human health, is produced mainly from fossil fuel combustion and biomass burning. Here, high concentrations of CO (white) are mainly from fire activity in Africa, South America, and Australia. Scientists use model output data such as these to help answer important questions about Earth’s climate and to help design future satellite missions.These model simulations use fossil fuel emissions estimates provided by the Emissions Database for Global Atmospheric Research (EDGAR). NASA’s Quick Fire Emissions Dataset (QFED) estimates fire emissions using MODIS fire radiative power observations. Additional, observationally constrained estimates of CO2 flux between the atmosphere and land and ocean carbon reservoirs were produced as part of NASA’s Carbon Monitoring System Flux Pilot Project (http://carbon.nasa.gov/cgi-bin/cms/inv_pgp.pl?pgid=581). Land biosphere fluxes come from the Carnegie-Ames-Stanford Approach Global Fire Emissions Database (CASA-GFED) model which incorporates MODIS vegetation classification and AVHRR Normalized Difference Vegetation Index (NDVI) data. Ocean fluxes are produced by the NASA Ocean Biogeochemical Model (NOBM) which incorporates MODIS chlorophyll observations. || ",
"release_date": "2014-06-30T13:00:00-04:00",
"update_date": "2025-02-02T23:34:45.107188-05:00",
"main_image": {
"id": 430588,
"url": "http://svs.gsfc.nasa.gov/vis/a030000/a030500/a030515/simulated_atmo_carbon_con_1280x720_print.jpg",
"filename": "simulated_atmo_carbon_con_1280x720_print.jpg",
"media_type": "Image",
"alt_text": "GEOS-5 simulated average column concentrations of CO2 and CO for one year.",
"width": 1024,
"height": 576,
"pixels": 589824
}
}
},
{
"id": 407361,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 11579,
"url": "http://svs.gsfc.nasa.gov/11579/",
"page_type": "Produced Video",
"title": "NASA Images Highlight U.S. Air Quality Improvement – Release Materials",
"description": "Anyone living in the U.S. for the past decade may have noticed a change in the air. The change is apparent in NASA satellite images that demonstrate the country's reduction of air pollution, or more specifically, nitrogen dioxide.Nitrogen dioxide can impact the respiratory system, and it also contributes to the formation of other pollutants including ground-level ozone and particulates. The gas is produced primarily during the combustion of gasoline in vehicle engines and coal in power plants. Air pollution has decreased even though population and the number of cars on the roads have increased. The shift is the result of regulations, technology improvements and economic changes, scientists say.This following visualizations show tropospheric column concentrations of nitrogen dioxide as detected by the Ozone Monitoring Instrument on NASA's Aura satellite. Blue and green denote lower concentrations and orange and red areas denote higher concentrations, ranging from 1e+15 to 5e+15 molecules per square centimeter, respectively. || ",
"release_date": "2014-06-26T06:00:00-04:00",
"update_date": "2024-10-10T00:16:15.283221-04:00",
"main_image": {
"id": 453811,
"url": "http://svs.gsfc.nasa.gov/vis/a010000/a011500/a011579/11579-US_youtube_hq_web.png",
"filename": "11579-US_youtube_hq_web.png",
"media_type": "Image",
"alt_text": "United States\rThis visualization shows tropospheric column concentrations of nitrogen dioxide across the U.S. as detected by the Ozone Monitoring Instrument on NASA's Aura satellite, averaged yearly from 2005-2011. \r",
"width": 320,
"height": 180,
"pixels": 57600
}
}
},
{
"id": 407362,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 3586,
"url": "http://svs.gsfc.nasa.gov/3586/",
"page_type": "Visualization",
"title": "What Would have Happened to the Ozone Layer if Chlorofluorocarbons (CFCs) had not been Regulated?",
"description": "Led by NASA Goddard scientist Paul Newman, a team of atmospheric chemists simulated 'what might have been' if chlorofluorocarbons (CFCs) and similar ozone-depleting chemicals were not banned through the Montreal Protocol. The comprehensive model — including atmospheric chemical effects, wind changes, and solar radiation changes — simulated what would happen to global concentrations of stratospheric ozone if CFCs were continually added to the atmosphere.The visualizations below present two cases, from several different viewing positions: the 'world avoided' case, where the rate of CFC emission into the atmosphere is assumed to be that of the period before regulation, and the 'projected' case, which assumes the current rate of emission, post-regulation. Both cases extrapolate to the year 2065. || ",
"release_date": "2009-03-17T00:00:00-04:00",
"update_date": "2025-01-05T22:01:59.106242-05:00",
"main_image": {
"id": 483597,
"url": "http://svs.gsfc.nasa.gov/vis/a000000/a003500/a003586/ozone_side_by_side_720p_web.png",
"filename": "ozone_side_by_side_720p_web.png",
"media_type": "Image",
"alt_text": "Comparison between projected and world-avoided cases.",
"width": 320,
"height": 180,
"pixels": 57600
}
}
},
{
"id": 407364,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 3685,
"url": "http://svs.gsfc.nasa.gov/3685/",
"page_type": "Visualization",
"title": "Aqua/AIRS Carbon Dioxide, 2002-2009, With Mauna Loa Carbon Dioxide Graph",
"description": "This visualization is a time-series of the global distribution and variation of the concentration of mid-tropospheric carbon dioxide observed by the Atmospheric Infrared Sounder (AIRS) on the NASA Aqua spacecraft. For comparison, it is overlain by a graph of the seasonal variation and interannual increase of carbon dioxide observed at the Mauna Loa, Hawaii observatory. The AIRS data show the average concentration (parts per million) over an altitude range of 3 km to 13 km, whereas the Mauna Loa data show the concentration at an altitude of 3.4 km and its annual increase at a rate of approximately 2 parts per million (ppm) per year. The two most notable features of this visualization are the seasonal variation of CO2 and the trend of increase in its concentration from year to year. The global map clearly shows that the CO2 in the northern hemisphere peaks in April-May and then drops to a minimum in September-October. Although the seasonal cycle is less pronounced in the southern hemisphere it is opposite to that in the northern hemisphere. This seasonal cycle is governed by the growth cycle of plants. The northern hemisphere has the majority of the land masses, and so the amplitude of the cycle is greater in that hemisphere. The overall color of the map shifts toward the red with advancing time due to the annual increase of CO2. Although the mid-latitude jet streams are not visible in the map, we can see their influence upon the distribution of CO2 around the globe. These rivers of air occur at an altitude of about 5 km and rapidly transport CO2 around the globe at that altitude. In the northern hemisphere, the mid-latitude jet stream squirms like a released garden hose over the period of a few days due to the continental landmasses. In the southern hemisphere the jet stream flow is more directly West to East, and during the period from July to October the CO2 concentration is enhanced in a belt delineated by the jet stream and lofting of CO2 into the free troposphere by the high Andes is visible in this period. The zonal flow of CO2 around the globe at the latitude of South Africa, southern Australia and southern South America is readily apparent. Eastward flow of CO2 from Indonesia and the Celebes sea can be seen in the November to February time frame. || ",
"release_date": "2010-03-15T23:00:00-04:00",
"update_date": "2025-02-02T22:01:35.248582-05:00",
"main_image": {
"id": 491561,
"url": "http://svs.gsfc.nasa.gov/vis/a000000/a003600/a003685/runup.2800.jpg",
"filename": "runup.2800.jpg",
"media_type": "Image",
"alt_text": "A 48 second long movie showing a graph of carbon dioxide taken from Mauna Loa, Hawaii and global mid-tropospheric carbon dioxide measured by NASA's AIRS intrument from September 2002 through December 2009.",
"width": 1280,
"height": 720,
"pixels": 921600
}
}
},
{
"id": 407365,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 30017,
"url": "http://svs.gsfc.nasa.gov/30017/",
"page_type": "Hyperwall Visual",
"title": "GEOS-5 Nature Run Collection",
"description": "Through numerical experiments that simulate the dynamical and physical processes governing weather and climate variability of Earth's atmosphere, models create a dynamic portrait of our planet. This 10-kilometer global mesoscale simulation (Nature Run) using the NASA Goddard Earth Observing System Model (GEOS-5) explores the evolution of surface temperatures as the sun heats the Earth and fuels cloud formation in the tropics and along baroclinic zones; the presence of water vapor and precipitation within these global weather patterns; the dispersion of global aerosols from dust, biomass burning, fossil fuel emissions, and volcanoes; and the winds that transport these aerosols from the surface to upper-levels.The full GEOS-5 simulation covered 2 years—from May 2005 to May 2007. It ran on 3,750 processors of the Discover supercomputer at the NASA Center for Climate Simulation, consuming 3 million processor hours and producing over 400 terabytes of data. GEOS-5 development is funded by NASA's Modeling, Analysis, and Prediction Program. || ",
"release_date": "2013-03-07T00:00:00-05:00",
"update_date": "2025-02-02T00:23:53.579676-05:00",
"main_image": {
"id": 428701,
"url": "http://svs.gsfc.nasa.gov/vis/a030000/a030000/a030017/geos5_fires_tour_zoom_svs030017_print.jpg",
"filename": "geos5_fires_tour_zoom_svs030017_print.jpg",
"media_type": "Image",
"alt_text": "A zoomed in version of aerosols and fires on a rotating globe.",
"width": 1024,
"height": 574,
"pixels": 587776
}
}
},
{
"id": 407366,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 3947,
"url": "http://svs.gsfc.nasa.gov/3947/",
"page_type": "Visualization",
"title": "Watching the Earth Breathe:
An Animation of Seasonal Vegetation and its effect on Earth's Global Atmospheric Carbon Dioxide",
"description": "In this animation, NASA instruments show the seasonal cycle of vegetation and the concentration of carbon dioxide in the atmosphere. The animation begins on January 1, when the northern hemisphere is in winter and the southern hemisphere is in summer. At this time of year, the bulk of living vegetation, shown in green, hovers around the equator and below it, in the southern hemisphere.As the animation plays forward through mid-April, the concentration of carbon dioxide, shown in orange-yellow, in the middle part of Earth's lowest atmospheric layer, the troposphere, increases and spreads throughout the northern hemisphere, reaching a maximum around May. This blooming effect of carbon dioxide follows the seasonal changes that occur in northern latitude ecosystems, in which deciduous trees lose their leaves, resulting in a net release of carbon dioxide through a process called respiration. Carbon dioxide is also released in early spring as soils begin to warm. Almost 10 percent of atmospheric carbon dioxide passes through soils each year.After April, the northern hemisphere moves into late spring and summer and plants begin to grow, reaching a peak in the late summer. The process of plant photosynthesis removes carbon dioxide from the air. The animation shows how carbon dioxide is scrubbed out of the atmosphere by the large volume of new and growing vegetation. Following the peak in vegetation, the drawdown of atmospheric carbon dioxide due to photosynthesis becomes apparent, particularly over the boreal forests.Note that there is roughly a three-month lag between the state of vegetation at Earth's surface and its effect on carbon dioxide in the middle troposphere.Data like these give scientists a new opportunity to better understand the relationships between carbon dioxide in Earth's middle troposphere and the seasonal cycle of vegetation near the surface.Creating the AnimationThis animation was created with data taken from two NASA spaceborne instruments. The concentration of carbon dioxide data from the Atmospheric Infrared Sounder (AIRS), a weather and climate instrument that flies aboard NASA's Aqua spacecraft, is overlain on measurements of vegetation index from the Moderate Resolution Imaging Spectroradiometer (MODIS) instrument, also on NASA's Aqua spacecraft, to better understand how photosynthesis and respiration influences the atmospheric carbon dioxide cycle over the globe. The animation runs from January through December and repeats. The AIRS tropospheric carbon dioxide seasonal cycle values were made by averaging AIRS data collected between 2003 and 2010, from which the annual carbon dioxide growth trend of 2 parts per million per year has been removed. For example, the data used for January 1 is actually an average of eight years of AIRS carbon dioxide data taken each year on January 1. The vegetation values were made using data averaged over a four-year period, from 2003 to 2006.Further DetailAIRS uses infrared technology to determine the concentration of atmospheric water vapor and several important trace gases as well as information about temperature and clouds. AIRS orbits Earth from pole-to-pole at an altitude of 438 miles (705 kilometers), measuring Earth's infrared spectrum in 3,278 channels spanning a wavelength range from 3.74 microns to 15.4 microns. Originally designed to improve weather forecasts, AIRS has improved operational five-day weather forecasts more than any other single instrument over the past decade. AIRS has also been found to be sensitive to atmospheric carbon dioxide in the middle troposphere, at an altitude of 5 to 10 kilometers or 3 to 6 miles. AIRS is managed by NASA's Jet Propulsion Laboratory, Pasadena, Calif., under contract to NASA. JPL is a division of the California Institute of Technology in Pasadena. For further information, access the AIRS projectThe MODIS instrument is managed by NASA's Goddard Space Flight Center, Greenbelt, Md. For further information, access the MODIS project. || ",
"release_date": "2012-07-08T00:00:00-04:00",
"update_date": "2024-10-09T00:02:20.883006-04:00",
"main_image": {
"id": 474848,
"url": "http://svs.gsfc.nasa.gov/vis/a000000/a003900/a003947/airsc02_land_connectionV070244.jpg",
"filename": "airsc02_land_connectionV070244.jpg",
"media_type": "Image",
"alt_text": "The concentration of CO2 measured by AIRS is overlain on measurements of vegetation index from the Moderate Resolution Imaging Spectroradiaometer (MODIS), also on the Aqua spacecraft, in an effort to understand the influence of photosynthesis and respiration on the atmospheric CO2 cycle over the globe. The AIRS tropospheric CO2 seasonal cycle displayed is an average over 8 years of AIRS data, from which the annual growth trend of 2 ppm/year has been removed. The animation shows the buildup of tropospheric CO2 in the Northern Hemisphere with a maximum around May. The maximum in the vegetation cycle follows, occurring in the late summer. Following the peak in vegetation, the drawdown of atmospheric CO2 due to photosynthesis is apparent, particularly over the Boreal Forests.This video is also available on our YouTube channel.",
"width": 1278,
"height": 719,
"pixels": 918882
}
}
},
{
"id": 407367,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 3882,
"url": "http://svs.gsfc.nasa.gov/3882/",
"page_type": "Visualization",
"title": "Carbon Monoxide",
"description": "AIRS' global carbon monoxide measurements are important because scientists can monitor the transport of fire emissions around the globe on a daily basis. Previously, carbon monoxide measurements came from satellite instruments that saw only part of the Earth each day or from weather balloons. Prior to AIRS, scientists had to integrate those observations with computer models to infer the day-to-day impact of fire emissions on the atmosphere. AIRS provides daily, global coverage. AIRS also measures some of the key atmospheric gases that affect climate, including ozone, methane, and dust and other aerosols.Tropospheric CO abundances are retrieved from the 4.67 m region of AIRS spectra as one of the last steps of the AIRS team algorithm. AIRS' 1600 km cross-track swath and cloud-clearing retrieval capabilities provide daily global CO maps over approximately 70% of the Earth. The streak of red, orange, and yellow across South America, Africa, and the Atlantic Ocean in this animation points to high levels of carbon monoxide, as measured by the Atmospheric Infrared Sounder (AIRS) instrument flying on NASA's Aqua satellite. The carbon monoxide primarily comes from fires burning in the Amazon basin, with some additional contribution from fires in southern Africa. The animation shows carbon monoxide transport sweeping east throughout August, September, and October 2005. || ",
"release_date": "2011-11-08T12:00:00-05:00",
"update_date": "2025-02-02T22:04:00.127215-05:00",
"main_image": {
"id": 482200,
"url": "http://svs.gsfc.nasa.gov/vis/a000000/a003800/a003882/airsdatecarbonmono_searchweb.png",
"filename": "airsdatecarbonmono_searchweb.png",
"media_type": "Image",
"alt_text": "The streak of red, orange, and yellow across South America, Africa, and the Atlantic Ocean in this image points to high levels of carbon monoxide on September 30, 2005.This product is available through our Web Map Service.",
"width": 180,
"height": 320,
"pixels": 57600
}
}
},
{
"id": 407368,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 30014,
"url": "http://svs.gsfc.nasa.gov/30014/",
"page_type": "Hyperwall Visual",
"title": "Nitrogen Dioxide from Aura/OMI, 2013-2014",
"description": "Major sources of tropospheric NO2 include industrial emissions, automobile traffic, forest and brush fires, microbiological soil emissions, lightning, and aircraft. More than half of the total NO2 emissions are estimated to be anthropogenic, mainly from the burning of fossil fuels for energy production, transportation, and industrial activities. NO2 has a relatively short lifetime (about a day) and is therefore concentrated near its sources. || ",
"release_date": "2013-03-18T00:00:00-04:00",
"update_date": "2024-10-13T23:25:36.885094-04:00",
"main_image": {
"id": 427753,
"url": "http://svs.gsfc.nasa.gov/vis/a030000/a030000/a030014/omi_trop_no2_2048_00001_searchweb.png",
"filename": "omi_trop_no2_2048_00001_searchweb.png",
"media_type": "Image",
"alt_text": "An older sequence of daily images from September 1, 2009 - August 31, 2010, shows the global perspective of tropospheric nitrogen dioxide (NO2) as measured by the Ozone Measuring Instrument (OMI) flying aboard NASA's Aura spacecraft. ",
"width": 320,
"height": 180,
"pixels": 57600
}
}
},
{
"id": 407369,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 3783,
"url": "http://svs.gsfc.nasa.gov/3783/",
"page_type": "Visualization",
"title": "Iceland's Eyjafjallajökull Volcanic Ash Plume May 6-8, 2010 - Stereoscopic Version",
"description": "During April and May, 2010, the Eyjafjallajökull volcano on Iceland's southern coast erupted, creating an expansive ash cloud that disrupted air traffic throughout Europe and across the Atlantic. This animation shows the flow of this ash cloud for three days in early May on an hourly basis as sensed from a geostationary satellite. The ash cloud heights were determined using an approach developed by NOAA/NESDIS/STAR for the next generation of Geostationary Operational Environmental Satellite (GOES-R). Data from EUMETSAT's Spinning Enhanced Visible and Infrared Imager (SEVIRI) was used as a proxy for GOES-R Advanced Baseline Imager (ABI) data. This data is shown intersecting with the CALIPSO Parallel Attenuated Backscatter curtain on May 6th. In this page the visualization content is offered in two different modes to accommodate stereoscopic systems as: Left and Right Eye separate and Left and Right Eye side-by-side combined on the same frame. || ",
"release_date": "2010-10-21T00:00:00-04:00",
"update_date": "2024-10-09T16:01:22.308073-04:00",
"main_image": {
"id": 489466,
"url": "http://svs.gsfc.nasa.gov/vis/a000000/a003700/a003783/volcanicAsh_comp_L.0413_web.png",
"filename": "volcanicAsh_comp_L.0413_web.png",
"media_type": "Image",
"alt_text": "This set provides stereoscopic visualization content (Left and Right Eye separate) of the composite animation including the foreground, star background and date overlay.",
"width": 320,
"height": 180,
"pixels": 57600
}
}
},
{
"id": 407370,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 3722,
"url": "http://svs.gsfc.nasa.gov/3722/",
"page_type": "Visualization",
"title": "NCCS Hyperwall Show: Push in with GEOS-5 Modeled Clouds at 3.5-km Global Resolution and 10 Minute Interval",
"description": "This visualization shows clouds from a simulation using the Goddard Earth Observing System Model, Verison 5 (GEOS-5). The global atmospheric simulation ran at 3.5 km per grid cell and covered a single day: January 2, 2009. The results of the simulation were written out at 10 minute intervals. Since there is only one day of simulation data, the sequence of clouds repeats several times. The white flash indicates the sequence is about to repeat.This version of the visualization was created for display on the NASA Center for Climate Science (NCCS.) hyperwall. This hyperwall is a set of 15 tiled high definition displays constisting of 5 displays across by 3 displays down. The full resolution of all combined displays is 6840 pixels accross by 2304 pixels down. This movie was rendered at full resolution, then diced up into images for display on each screen.This visualization is similar to a visualization shown at the Supercomputing 2009 conference available in entry #3659. The differences between that one and this one are: resolution, aspect ratio, and camera path (due to the aspect). || ",
"release_date": "2010-06-01T00:00:00-04:00",
"update_date": "2024-10-13T22:01:46.550399-04:00",
"main_image": {
"id": 491808,
"url": "http://svs.gsfc.nasa.gov/vis/a000000/a003700/a003722/nccs_hyperwall_template.jpg",
"filename": "nccs_hyperwall_template.jpg",
"media_type": "Image",
"alt_text": "The large animation above is diced-up into smaller pieces that can be played on the hyperwall. Each piece is named according to a standard spreadsheet convention with a1 at the upper left and e3 at the lower right. This image illustrates this naming convention used in the diced-up frame sets below.",
"width": 1418,
"height": 567,
"pixels": 804006
}
}
},
{
"id": 407371,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 3723,
"url": "http://svs.gsfc.nasa.gov/3723/",
"page_type": "Visualization",
"title": "NCCS Hyperwall Show: GEOS-5 Modeled Clouds at 5-km Resolution (Flat Map)",
"description": "This visualization shows clouds from a simulation using the Goddard Earth Observing System Model, Verison 5 (GEOS5). The global atmospheric simulation ran at a resolution of 5-km per grid cell and covered a period from Feb 2, 2010 through Feb 22, 2010. The results of the simulation were written out at 30 minute intervals. This is a high-resolution non-hydrostatic global model.This visualization was created for display on the NASA Center for Climate Simulation (NCCS) hyperwall. This is a set of tiled high definition displays consisting of 5 displays across by 3 displays down. The full resolution of all combined displays is 6840 pixels accross by 2304 pixels down. This movie was rendered at this high resolution, then diced up into images to be displayed on each screen.A similar, lower resolution visualization is available in entry #3724. The lower resolution version is for comparison to current operational model resolution output. When displaying these visualizations on the hyperwall, we sometimes show them in a checkerboard pattern with alternating 5-km and quarter-degree tiles for easy comparison. We chose to stretch the image to fit the hyperwall aspect rather than cropping or adding black bars. || ",
"release_date": "2010-06-18T00:00:00-04:00",
"update_date": "2024-10-13T22:01:53.505828-04:00",
"main_image": {
"id": 491955,
"url": "http://svs.gsfc.nasa.gov/vis/a000000/a003700/a003723/geos5_snow_storm2010_1920x1080.0100.jpg",
"filename": "geos5_snow_storm2010_1920x1080.0100.jpg",
"media_type": "Image",
"alt_text": "Full image of GEOS-5 Modeled Clouds",
"width": 1920,
"height": 1080,
"pixels": 2073600
}
}
},
{
"id": 407372,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 30603,
"url": "http://svs.gsfc.nasa.gov/30603/",
"page_type": "Hyperwall Visual",
"title": "CERES Cloud Radiative Effect",
"description": "CERES Net Cloud Radiative Effect || ceres_net_cre_average_2000-2015_print.jpg (1024x574) [102.2 KB] || ceres_net_cre_average_2000-2015.png (4104x2304) [2.1 MB] || ceres_net_cre_average_2000-2015_searchweb.png (320x180) [69.4 KB] || ceres_net_cre_average_2000-2015_thm.png (80x40) [6.5 KB] || ceres_net_cre_average_2000-2015_30603.pptx [3.0 MB] || ceres_net_cre_average_2000-2015_30603.key [5.6 MB] || ",
"release_date": "2015-06-25T00:00:00-04:00",
"update_date": "2025-02-02T00:30:20.448805-05:00",
"main_image": {
"id": 431792,
"url": "http://svs.gsfc.nasa.gov/vis/a030000/a030600/a030603/ceres_net_cre_average_2000-2015_print.jpg",
"filename": "ceres_net_cre_average_2000-2015_print.jpg",
"media_type": "Image",
"alt_text": "CERES Net Cloud Radiative Effect",
"width": 1024,
"height": 574,
"pixels": 587776
}
}
},
{
"id": 407373,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 30476,
"url": "http://svs.gsfc.nasa.gov/30476/",
"page_type": "Hyperwall Visual",
"title": "Mount Etna",
"description": "Twin volcanic plumes—one of ash, one of gas—rose from Sicily’s Mount Etna on the morning of October 26, 2013. L’Istituto Nazionale di Geofisica e Vulcanologia (INGV) Osservatorio Etneo (National Institute of Geophysics and Volcanology Etna Observatory) reported that Etna was experiencing its first paroxysm in six months. Multiple eruption columns are common at Etna, a result of complex plumbing within the volcano. The Northeast Crater, one of several on Etna’s summit, was emitting the ash column, while the New Southeast Crater was simultaneously venting mostly gas.This natural-color image collected by Landsat 8 shows the view from space at 11:38 a.m. local time. The towering, gas-rich plume cast a dark shadow over the lower, ash-rich plume and Etna’s northwestern flank. Relatively fresh lava flows (less than a century or so old) are dark gray; vegetation is green; and the tile-roofed buildings of Bronte and Biancavilla lend the towns an ochre hue. || ",
"release_date": "2013-11-01T15:00:00-04:00",
"update_date": "2024-10-10T00:21:06.234097-04:00",
"main_image": {
"id": 430040,
"url": "http://svs.gsfc.nasa.gov/vis/a030000/a030400/a030476/etna_oli_2013299_eob82287_web.png",
"filename": "etna_oli_2013299_eob82287_web.png",
"media_type": "Image",
"alt_text": "Landsat 8 observes twin volcanic plumes from Mount Etna, October 26, 2013.",
"width": 320,
"height": 180,
"pixels": 57600
}
}
},
{
"id": 407374,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 11775,
"url": "http://svs.gsfc.nasa.gov/11775/",
"page_type": "Produced Video",
"title": "Satellite Tracks Saharan Dust To Amazon In 3-D",
"description": "For the first time, a NASA satellite has quantified in three dimensions how much dust makes the trans-Atlantic journey from the Sahara Desert to the Amazon rainforest. Among this dust is phosphorus, an essential nutrient that acts like a fertilizer, which the Amazon depends on in order to flourish.The new dust transport estimates were derived from data collected by a lidar instrument on NASA's Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation, or CALIPSO, satellite from 2007 though 2013.An average of 27.7 million tons of dust per year – enough to fill 104,908 semi trucks – fall to the surface over the Amazon basin. The phosphorus portion, an estimated 22,000 tons per year, is about the same amount as that lost from rain and flooding. The finding is part of a bigger research effort to understand the role of dust and aerosols in the environment and on local and global climate.Research: The fertilizing role of African dust in the Amazon rainforest: A first multiyear assessment based on data from Cloud-Aerosol Lidar and Infrared Pathfinder Satellite ObservationsJournal: Geophysical Research LettersLink to paper: http://onlinelibrary.wiley.com/doi/10.1002/2015GL063040/fullHere is the YouTube video. || ",
"release_date": "2015-02-24T10:00:00-05:00",
"update_date": "2024-10-10T00:16:18.735026-04:00",
"main_image": {
"id": 446468,
"url": "http://svs.gsfc.nasa.gov/vis/a010000/a011700/a011775/G2015-021-Saharan_Dust_Travels_To_Amazon-1920-Master_youtube_hq_print.jpg",
"filename": "G2015-021-Saharan_Dust_Travels_To_Amazon-1920-Master_youtube_hq_print.jpg",
"media_type": "Image",
"alt_text": "This is a video explaining the findings from the first multi-year study measuring the 3-D distribution of dust travelling from the Sahara Desert to the Amazon basin. This video features Hongbin Yu, lead author of the study. For complete transcript, click here.",
"width": 1024,
"height": 576,
"pixels": 589824
}
}
},
{
"id": 407363,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 4184,
"url": "http://svs.gsfc.nasa.gov/4184/",
"page_type": "Visualization",
"title": "2014 Update Aqua/AIRS Carbon Dioxide with Mauna Loa Carbon Dioxide",
"description": "This visualization is a time-series of the global distribution and variation of the concentration of mid-tropospheric carbon dioxide observed by the Atmospheric Infrared Sounder (AIRS) on the NASA Aqua spacecraft. For comparison, it is overlain by a graph of the seasonal variation and interannual increase of carbon dioxide observed at the Mauna Loa, Hawaii observatory.The graph shows data, commonly called the Keeling Curve, from the Scripps measurements of monthly carbon dioxide concentration at Mauna Loa Observatory. The collection of this data was started by C. David Keeling of the Scripps Institution of Oceanography in March of 1958 at a facility of the National Oceanic and Atmospheric Administration [Keeling, 1976]. The two most notable features of this visualization are the seasonal variation of carbon dioxide and the trend of increase in its concentration from year to year. The global map clearly shows that the carbon dioxide in the Northern Hemisphere peaks in April-May and then drops to a minimum in September-October. Although the seasonal cycle is less pronounced in the Southern Hemisphere it is opposite to that in the Northern Hemisphere. This seasonal cycle is governed by the growth cycle of plants. The Northern Hemisphere has the majority of the land masses, and so the amplitude of the cycle is greater in that hemisphere. The overall color of the map shifts toward the red with advancing time due to the annual increase of carbon dioxide.The concentration of carbon dioxide in the mid-troposphere lags the concentration found at the surface as mixing from the lower to upper altitudes usually takes days to weeks.More information about AIRS can be found at http://airs.jpl.nasa.gov. More information about the carbon dioxide concentration at Mauna Loa Observatory can be found at http://scrippsco2.ucsd.edu/ || ",
"release_date": "2014-06-30T00:00:00-04:00",
"update_date": "2024-10-06T00:06:57.733712-04:00",
"main_image": {
"id": 453655,
"url": "http://svs.gsfc.nasa.gov/vis/a000000/a004100/a004184/AIRSCO2_keeling_2779_print_print.jpg",
"filename": "AIRSCO2_keeling_2779_print_print.jpg",
"media_type": "Image",
"alt_text": "This visualization is a time-series of the global distribution and variation of the concentration of mid-tropospheric carbon dioxide observed by the Atmospheric Infrared Sounder (AIRS) on the NASA Aqua spacecraft. For comparison, it is overlain by a graph of the seasonal variation and interannual increase of carbon dioxide observed at the Mauna Loa, Hawaii observatory. Please note, Mid-Tropospheric carbon dioxide shows a steady increase in atmospheric carbon dioxide concentrations over time.This video is also available on our YouTube channel.",
"width": 1024,
"height": 576,
"pixels": 589824
}
}
},
{
"id": 407375,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 30602,
"url": "http://svs.gsfc.nasa.gov/30602/",
"page_type": "Hyperwall Visual",
"title": "The Antarctic Ozone Hole Will Recover",
"description": "October average minimum ozone over Antarctica || ozone_recovery_update_2017_print.jpg (1024x643) [96.8 KB] || ozone_recovery_update_2017.png (3800x2389) [34.7 MB] || ozone_recovery_update_2017_searchweb.png (320x180) [45.8 KB] || ozone_recovery_update_2017_thm.png (80x40) [4.8 KB] || ozone_hole_recover_30602.key [4.9 MB] || ozone_hole_recover_30602.pptx [2.4 MB] || the-antarctic-ozone-hole-will-recover-in-the-latter-half-of-the-21st-century.hwshow [205 bytes] || ",
"release_date": "2015-06-04T00:00:00-04:00",
"update_date": "2024-10-13T00:26:17.855478-04:00",
"main_image": {
"id": 431682,
"url": "http://svs.gsfc.nasa.gov/vis/a030000/a030600/a030602/ozone_recovery_update_2017_print.jpg",
"filename": "ozone_recovery_update_2017_print.jpg",
"media_type": "Image",
"alt_text": "October average minimum ozone over Antarctica",
"width": 1024,
"height": 643,
"pixels": 658432
}
}
}
],
"extra_data": {}
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{
"id": 370896,
"url": "http://svs.gsfc.nasa.gov/gallery/hyperwall-themes/#media_group_370896",
"widget": "Card gallery",
"title": "Forests and Biodiversity",
"caption": "",
"description": "",
"items": [
{
"id": 407376,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 30595,
"url": "http://svs.gsfc.nasa.gov/30595/",
"page_type": "Hyperwall Visual",
"title": "Global Biosphere, Yearly Cycle",
"description": "A different color scheme to differentiate ocean and land. || biosphere_cryo_280_print.jpg (1024x576) [145.4 KB] || biosphere_cryo_280_searchweb.png (180x320) [77.2 KB] || biosphere_cryo_280_thm.png (80x40) [7.2 KB] || biosphere_cryo_1080p.mp4 (1920x1080) [10.5 MB] || biosphere_cryo_720p.mp4 (1280x720) [5.0 MB] || biosphere_cryo_720p.webm (1280x720) [1.4 MB] || biosphere_cryo_2160p.mp4 (3840x2160) [37.2 MB] || biosphere_cryo_280.tif (5760x3240) [14.7 MB] || biosphere_cryo_3240p.mp4 (5760x3240) [43.6 MB] || biosphere_cryo_30595.key [14.6 MB] || biosphere_cryo_30595.pptx [12.0 MB] || ",
"release_date": "2015-04-12T15:00:00-04:00",
"update_date": "2025-02-02T23:37:16.959335-05:00",
"main_image": {
"id": 431623,
"url": "http://svs.gsfc.nasa.gov/vis/a030000/a030500/a030595/biosphere_cryo_280_print.jpg",
"filename": "biosphere_cryo_280_print.jpg",
"media_type": "Image",
"alt_text": "A different color scheme to differentiate ocean and land.",
"width": 1024,
"height": 576,
"pixels": 589824
}
}
},
{
"id": 407377,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 3868,
"url": "http://svs.gsfc.nasa.gov/3868/",
"page_type": "Visualization",
"title": "Global Fire Observations and MODIS NDVI",
"description": "This visualization leads viewers on a narrated global tour of fire detections beginning in July 2002 and ending July 2011. The visualization also includes vegetation and snow cover data to show how fires respond to seasonal changes. The tour begins in Australia in 2002 by showing a network of massive grassland fires spreading across interior Australia as well as the greener Eucalyptus forests in the northern and eastern part of the continent. The tour then shifts to Asia where large numbers of agricultural fires are visible first in China in June 2004, then across a huge swath of Europe and western Russia in August, and then across India and Southeast Asia through the early part of 2005. It moves next to Africa, the continent that has more abundant burning than any other. MODIS observations have shown that some 70 percent of the world's fires occur in Africa alone. In what's a fairly average burning season, the visualization shows a huge outbreak of savanna fires during the dry season in Central Africa in July, August, and September of 2006, driven mainly by agricultural activities but also by the fact that the region experiences more lightning than anywhere else in the world. The tour shifts next to South America where a steady flickering of fire is visible across much of the Amazon rainforest with peaks of activity in September and November of 2009. Almost all of the fires in the Amazon are the direct result of human activity, including slash-and-burn agriculture, because the high moisture levels in the region prevent inhibit natural fires from occurring. It concludes in North America, a region where fires are comparatively rare. North American fires make up just 2 percent of the world's burned area each year. The fires that receive the most attention in the United States, the uncontrolled forest fires in the West, are less visible than the wave of agricultural fires prominent in the Southeast and along the Mississippi River Valley, but some of the large wildfires that struck Texas earlier this spring are visible. More information on the Fire Information for Resource Management System (FIRMS) is available at http://maps.geog.umd.edu/firms/. || ",
"release_date": "2011-10-18T01:00:00-04:00",
"update_date": "2025-02-02T00:01:39.789904-05:00",
"main_image": {
"id": 481530,
"url": "http://svs.gsfc.nasa.gov/vis/a000000/a003800/a003868/africaNDVIPrintRes.1996_web.png",
"filename": "africaNDVIPrintRes.1996_web.png",
"media_type": "Image",
"alt_text": "A 10 year sequence of global fires as seen by NASA's MODIS instruments.",
"width": 180,
"height": 320,
"pixels": 57600
}
}
},
{
"id": 407378,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 30194,
"url": "http://svs.gsfc.nasa.gov/30194/",
"page_type": "Hyperwall Visual",
"title": "Burn Recovery in Yellowstone",
"description": "In the summer of 1988, lightning- and human-ignited fires consumed vast stretches of Yellowstone National Park. By the time the first snowfall extinguished the last flames in September, 793,000 of the park’s 2,221,800 acres had burned.This series of images shows the scars left in the wake of the western Yellowstone fires and the slow recovery in the twenty years that followed. Taken by Landsat-5, the images were made with a combination of visible and infrared light (green, short-wave infrared, and near infrared) to highlight the burned area and changes in vegetation. In the years that follow, the burn scar fades progressively. On the ground, grasses and wildflowers sprung up from the ashes and tiny pine trees took root and began to grow. Though changes did occur between 1988 and 2010, recovery has been slow. In 2010, the burned area is still clearly discernible.Images acquired by Landsat satellites Reference: NASA’s Earth Observatory || ",
"release_date": "2013-10-17T12:00:00-04:00",
"update_date": "2024-10-10T00:19:52.359226-04:00",
"main_image": {
"id": 429111,
"url": "http://svs.gsfc.nasa.gov/vis/a030000/a030100/a030194/woc_BurnRecovery_Yellowstone_web.png",
"filename": "woc_BurnRecovery_Yellowstone_web.png",
"media_type": "Image",
"alt_text": "Landsat images show recovery after 1988 Yellowstone fires, 1987 to 2011.",
"width": 320,
"height": 180,
"pixels": 57600
}
}
},
{
"id": 407379,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 30162,
"url": "http://svs.gsfc.nasa.gov/30162/",
"page_type": "Hyperwall Visual",
"title": "Devastation and Recovery of Mt. St. Helens",
"description": "In the nearly four decades since the eruption (1980), Mt. St. Helens has given scientists an unprecedented opportunity to witness the steps through which life reclaims a devastated landscape. The scale of the eruption and the beginning of reclamation in the Mt. St. Helens blast zone are documented in this series of images between 1979 and 2017. The older images are false-color (vegetation is red). Not surprisingly, the first noticeable recovery (late 1980s) takes place in the northwestern quadrant of the blast zone, farthest from the volcano. It is another decade (late 1990s) before the terrain east of Spirit Lake is considerably greener. By the end of the series, the only area (beyond the slopes of the mountain itself) that remains conspicuously bare at the scale of these images is the Pumice Plain. || ",
"release_date": "2017-09-01T12:00:00-04:00",
"update_date": "2024-10-10T00:19:33.191756-04:00",
"main_image": {
"id": 428900,
"url": "http://svs.gsfc.nasa.gov/vis/a030000/a030100/a030162/sthelens4ktest_20150331_4k_searchweb.png",
"filename": "sthelens4ktest_20150331_4k_searchweb.png",
"media_type": "Image",
"alt_text": "Landsat images show recovery Mt. St. Helens blast zone, 1979 to 2017.",
"width": 320,
"height": 180,
"pixels": 57600
}
}
},
{
"id": 407380,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 30166,
"url": "http://svs.gsfc.nasa.gov/30166/",
"page_type": "Hyperwall Visual",
"title": "Amazon Deforestation",
"description": "The state of Rondônia in western Brazil has become one of the most deforested parts of the Amazon. This image series, created with data from the Moderate Resolution Imaging Spectroradiometer (MODIS) onboard NASA’s Terra satellite, shows the region from 2000 to 2010. By the year 2000, the frontier had reached the remote northwest corner of Rondônia. Intact forest is deep green, while cleared areas are tan (bare ground) or light green (crops, pastures). Deforestation follows a predictable pattern in these images. The first clearings appear in a fishbone pattern, arrayed along the edges of roads. Over time, the fishbones collapse into a mixture of forest remnants, cleared areas, and settlements. This pattern is common in the Amazon. Legal and illegal roads penetrate a remote part of the forest, and small farmers migrate to the area. They claim land along the road and clear some of it for crops. Within a few years, heavy rains and erosion deplete the soil, and crop yields fall. Farmers then convert the degraded land to cattle pasture, and clear more forest for crops. || ",
"release_date": "2013-10-17T12:00:00-04:00",
"update_date": "2024-11-17T23:35:44.733584-05:00",
"main_image": {
"id": 428896,
"url": "http://svs.gsfc.nasa.gov/vis/a030000/a030100/a030166/woc_AmazonDeforestation.0.png",
"filename": "woc_AmazonDeforestation.0.png",
"media_type": "Image",
"alt_text": "MODIS images of Amazon deforestation in Rondônia from 2000 to 2010.",
"width": 1280,
"height": 720,
"pixels": 921600
}
}
},
{
"id": 407381,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 30059,
"url": "http://svs.gsfc.nasa.gov/30059/",
"page_type": "Hyperwall Visual",
"title": "Mountaintop Mining, West Virginia",
"description": "These images illustrate the growth of the Hobet mine in Boone County, WV as it moves from ridge to ridge between 1984 and 2015. The natural forested landscape appears dark green, creased by steams and indented by hollows. Active mining areas, however, appear off-white and areas being reclaimed with vegetation appear light green. The law requires coal operators to restore the land to its approximate original shape, but the rock debris generally can’t be securely piled as high or graded as steeply as the original mountaintop. There is always too much rock left over, and coal companies dispose of it by building valley fills in hollows, gullies, and streams. While the image from 2015 shows apparent green-up of restored lands, it also shows expanded operations in the west. The resulting impacts to stream biodiversity, forest health, and ground-water quality are high, and may be irreversible. || ",
"release_date": "2013-07-10T09:00:00-04:00",
"update_date": "2025-02-02T23:28:26.439530-05:00",
"main_image": {
"id": 428410,
"url": "http://svs.gsfc.nasa.gov/vis/a030000/a030000/a030059/mountaintop_mining_1984-2012_720p_web.png",
"filename": "mountaintop_mining_1984-2012_720p_web.png",
"media_type": "Image",
"alt_text": "This time-series illustrates the growth of the Hobet mine in Boone County, WV as it moves from ridge to ridge between 1984 and 2015.",
"width": 180,
"height": 320,
"pixels": 57600
}
}
},
{
"id": 407382,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 30555,
"url": "http://svs.gsfc.nasa.gov/30555/",
"page_type": "Hyperwall Visual",
"title": "Projected Suitable Habitats for Whitebark Pine",
"description": "Projected changes in suitable habitats for whitebark pine from 2010-2099. || proj_suitable_habitats_whitebark_pine_print.jpg (1024x576) [127.0 KB] || proj_suitable_habitats_whitebark_pine_searchweb.png (320x180) [91.3 KB] || proj_suitable_habitats_whitebark_pine_web.png (320x180) [91.3 KB] || proj_suitable_habitats_whitebark_pine_thm.png (80x40) [6.2 KB] || proj_suitable_habitats_whitebark_pine.webm (1280x720) [8.1 MB] || 4104x2304_16x9_30p (4104x2304) [256.0 KB] || proj_suitable_habitats_whitebark_pine.mp4 (1280x720) [201.0 MB] || Projected_Hab_Whitebark_pine_4096x2304.mp4 (4104x2304) [284.3 MB] || proj_suitable_habitats_whitebark_pine.pptx [202.2 MB] || proj_suitable_habitats_whitebark_pine.key [205.0 MB] || projected-suitable-habitats-for-whitebark-pine.hwshow [243 bytes] || ",
"release_date": "2014-12-05T11:00:00-05:00",
"update_date": "2024-10-10T00:22:02.559770-04:00",
"main_image": {
"id": 430845,
"url": "http://svs.gsfc.nasa.gov/vis/a030000/a030500/a030555/proj_suitable_habitats_whitebark_pine_print.jpg",
"filename": "proj_suitable_habitats_whitebark_pine_print.jpg",
"media_type": "Image",
"alt_text": "Projected changes in suitable habitats for whitebark pine from 2010-2099.",
"width": 1024,
"height": 576,
"pixels": 589824
}
}
},
{
"id": 407383,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 4100,
"url": "http://svs.gsfc.nasa.gov/4100/",
"page_type": "Visualization",
"title": "Fluorescence Visualizations in High-Resolution (Comparison to NDVI)",
"description": "During photosynthesis, plants fluoresce. This faint glow is in the infrared part of the spectrum, not visible to the naked eye but detectable by satellites orbiting hundreds of miles above Earth. NASA scientists established a method to turn this satellite data into global maps of the subtle phenomenon in more detail than ever before.The new maps, released in 2013, provide a 16-fold increase in spatial resolution and a 3-fold increase in temporal resolution over the first proof-of-concept maps released in 2011. This lets scientists use fluorescence to observe, for example, variation in the length of the growing season.These visualizations of the phenomenon shows global land plant fluorescence data collected from 2007 to 2011, combined to depict a single average year. Darker greens indicates regions with little or no fluorescence; lighter greens and white indicate regions of high fluorescence.Fluorescence and Normalized Difference Vegetation Index (NDVI) are compared. A visualization is provided comparing the northern hemisphere of both data sets. Individual visualizations are also provided in a standard cylindrical equidistant projection for wrapping to a globe. The same color bars are used for both data sets for easier comparison. || ",
"release_date": "2013-11-08T11:00:00-05:00",
"update_date": "2024-10-09T00:03:35.270058-04:00",
"main_image": {
"id": 464168,
"url": "http://svs.gsfc.nasa.gov/vis/a000000/a004100/a004100/comparison2.8196.jpg",
"filename": "comparison2.8196.jpg",
"media_type": "Image",
"alt_text": "Comparison of fluorescence data (top) to NDVI data (bottom)",
"width": 1920,
"height": 1080,
"pixels": 2073600
}
}
},
{
"id": 407384,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 11393,
"url": "http://svs.gsfc.nasa.gov/11393/",
"page_type": "Produced Video",
"title": "Global Forest Cover, Loss, and Gain 2000-2012",
"description": "Twelve years of global deforestation, wildfires, windstorms, insect infestations, and more are captured in a new set of forest disturbance maps created from billions of pixels acquired by the imager on the NASA-USGS Landsat 7 satellite. The maps are the first to measure forest loss and gain using a consistent method around the globe at high spatial resolution, allowing scientists to compare forest changes in different countries and to monitor annual deforestation. Since each pixel in a Landsat image represents a piece of land about the size of a baseball diamond, researchers can see enough detail to tell local, regional and global stories. Hansen and colleagues analyzed 143 billion pixels in 654,000 Landsat images to compile maps of forest loss and gain between 2000 and 2012. During that period, 888,000 square miles (2.3 million square kilometers) of forest was lost, and 308,900 square miles (0.8 million square kilometers) regrew. The researchers, including scientists from the University of Maryland, Google, the State University of New York, Woods Hole Research Center, the U.S. Geological Survey and South Dakota State University, published their work in the Nov. 15, 2013, issue of the journal Science.Key to the project was collaboration with team members from Google Earth Engine, who reproduced in the Google Cloud the models developed at the University of Maryland for processing and characterizing the Landsat data; Google Earth Engine contains a complete copy of the Landsat record. The computing required to generate these maps would have taken 15 years on a single desktop computer, but with cloud computing was performed in a few days. Since 1972, the Landsat program has played a critical role in monitoring, understanding and managing the resources needed to sustain human life such as food, water and forests. Landsat 8 launched Feb. 11, 2013, and is jointly managed by NASA and USGS to continue the 40-plus years of Earth observations. To view the forest cover maps in Google Earth Engine, visit: http://earthenginepartners.appspot.com/google.com/science-2013-global-forest || ",
"release_date": "2013-11-14T14:00:00-05:00",
"update_date": "2025-01-06T01:27:10.735383-05:00",
"main_image": {
"id": 461265,
"url": "http://svs.gsfc.nasa.gov/vis/a010000/a011300/a011393/G2013-092_Forest_Cover00215_print.jpg",
"filename": "G2013-092_Forest_Cover00215_print.jpg",
"media_type": "Image",
"alt_text": "Twelve years of global deforestation, wildfires, windstorms, insect infestations, and more are captured in a new set of forest disturbance maps created from billions of pixels acquired by the imager on the NASA-USGS Landsat 7 satellite. To view the forest cover maps in Google Earth Engine, visit: http://earthenginepartners.appspot.com/google.com/science-2013-global-forestFor complete transcript, click here.",
"width": 1024,
"height": 576,
"pixels": 589824
}
}
}
],
"extra_data": {}
},
{
"id": 370897,
"url": "http://svs.gsfc.nasa.gov/gallery/hyperwall-themes/#media_group_370897",
"widget": "Card gallery",
"title": "Human Footprints",
"caption": "",
"description": "",
"items": [
{
"id": 407385,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 30028,
"url": "http://svs.gsfc.nasa.gov/30028/",
"page_type": "Hyperwall Visual",
"title": "Earth at Night 2012",
"description": "This new space-based view of Earth's city lights is a composite assembled from data acquired by the Suomi National Polar-orbiting Partnership (Suomi NPP) satellite. The data was acquired over nine days in April 2012 and thirteen days in October 2012. It took the satellite 312 orbits and 2.5 terabytes of data to get a clear shot of every parcel of Earth's land surface and islands. This new data was then mapped over existing MODIS Blue Marble imagery to provide a realistic view of the planet.The view was made possible by the \"day-night band\" of Suomi NPP's Visible Infrared Imaging Radiometer Suite. VIIRS detects light in a range of wavelengths from green to near-infrared and uses \"smart\" light sensors to observe dim signals such as city lights, auroras, wildfires, and reflected moonlight. This low-light sensor can distinguish night lights tens to hundreds of times better than previous satellites. || ",
"release_date": "2013-04-05T00:00:00-04:00",
"update_date": "2025-02-02T00:24:29.642234-05:00",
"main_image": {
"id": 428129,
"url": "http://svs.gsfc.nasa.gov/vis/a030000/a030000/a030028/earthatnight2012_web_searchweb.jpg",
"filename": "earthatnight2012_web_searchweb.jpg",
"media_type": "Image",
"alt_text": "Flat map of the whole Earth",
"width": 320,
"height": 180,
"pixels": 57600
}
}
},
{
"id": 407386,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 30165,
"url": "http://svs.gsfc.nasa.gov/30165/",
"page_type": "Hyperwall Visual",
"title": "Shrinking Aral Sea",
"description": "In the 1960s, the Soviet Union undertook a major water diversion project on the arid plains of Kazakhstan, Uzbekistan, and Turkmenistan. The lake they made, the Aral Sea, was once the fourth largest lake in the world. Although irrigation made the desert bloom, it devastated the Aral Sea. At the start of the series in 2000, the lake was already a fraction of its 1960 extent (black line). The Northern Aral Sea (small) had separated from the Southern (large) Aral Sea. The Southern Aral Sea had split into an eastern and a western lobe that remained tenuously connected at both ends. By 2001, the southern connection had been severed, and the shallower eastern part retreated rapidly over the next several years. After Kazakhstan built a dam between the northern and southern parts of the Aral Sea, all of the water flowing into the desert basin from the Syr Darya stayed in the Northern Aral Sea. The differences in water color are due to changes in sediment.Images acquired from the Moderate Resolution Imaging Spectroradiometer (MODIS) on NASA’s Terra satelliteReference: NASA’s Earth Observatory || ",
"release_date": "2013-10-17T12:00:00-04:00",
"update_date": "2025-02-02T23:29:27.359831-05:00",
"main_image": {
"id": 428879,
"url": "http://svs.gsfc.nasa.gov/vis/a030000/a030100/a030165/aral_sea_animation_woc_preview_print.jpg",
"filename": "aral_sea_animation_woc_preview_print.jpg",
"media_type": "Image",
"alt_text": "Animation of MODIS images show extent of Aral Sea from 2000 to 2013.",
"width": 1024,
"height": 576,
"pixels": 589824
}
}
},
{
"id": 407387,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 30212,
"url": "http://svs.gsfc.nasa.gov/30212/",
"page_type": "Hyperwall Visual",
"title": "Urbanization of Dubai",
"description": "To expand the possibilities for beachfront tourist development, Dubai, undertook a massive engineering project to create hundreds of artificial islands along its Persian Gulf coastline. This image series shows the progress of the Palm Jumeirah Island from 2000 to 2011. In these false-color images, bare ground appears brown, vegetation appears red, water appears dark blue, and buildings and paved surfaces appear light blue or gray. The first image shows the area prior to the island’s construction. The final image, acquired in February 2011, shows vegetation on most of the palm fronds, and numerous buildings on the tree trunk. As the years pass, urbanization spreads, and the final image shows the area almost entirely filled by roads, buildings, and irrigated land. || ",
"release_date": "2013-10-21T12:00:00-04:00",
"update_date": "2024-10-10T00:19:56.081799-04:00",
"main_image": {
"id": 429184,
"url": "http://svs.gsfc.nasa.gov/vis/a030000/a030200/a030212/urbanization_of_Dubai_print.jpg",
"filename": "urbanization_of_Dubai_print.jpg",
"media_type": "Image",
"alt_text": "ASTER images show progress of the Palm Jumeirah Island from 2000 to 2011.",
"width": 1024,
"height": 576,
"pixels": 589824
}
}
},
{
"id": 407388,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 30207,
"url": "http://svs.gsfc.nasa.gov/30207/",
"page_type": "Hyperwall Visual",
"title": "Yellow River Delta",
"description": "China’s Yellow River is the most sediment-filled river on Earth. The river crosses a plateau blanketed with up to 300 meters (980 feet) of fine, wind-blown soil. The soil is easily eroded, and millions of tons of it are carried away by the river every year. Some of it reaches the river’s mouth, where it builds and rebuilds the delta. The Yellow River Delta has wandered up and down several hundred kilometers of coastline over the past two thousand years. Since the mid-nineteenth century, however, the lower reaches of the river and the delta have been extensively engineered to control flooding and to protect coastal development. This sequence of natural-color images shows the delta near the present river mouth at five-year intervals from 1989 to 2009. In 1996, engineers blocked the main channel and forced the river to veer northeast. By 1999, a new peninsula had formed to the north. The new peninsula thickened in the next five-years, and what appears to be aquaculture (dark-colored rectangles) expanded significantly in areas south of the river as of 2004. By 2009, the shoreline northwest of the new river mouth had filled in considerably. The land northwest of the newly fortified shoreline is home to an extensive field of oil and gas wells. || ",
"release_date": "2013-10-21T12:00:00-04:00",
"update_date": "2024-10-10T00:19:55.086593-04:00",
"main_image": {
"id": 429171,
"url": "http://svs.gsfc.nasa.gov/vis/a030000/a030200/a030207/woc_YellowRiverDelta_web.png",
"filename": "woc_YellowRiverDelta_web.png",
"media_type": "Image",
"alt_text": "Landsat images show impacts of engineering on Yellow River, 1989 to 2009.",
"width": 320,
"height": 180,
"pixels": 57600
}
}
},
{
"id": 407389,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 30056,
"url": "http://svs.gsfc.nasa.gov/30056/",
"page_type": "Hyperwall Visual",
"title": "Athabasca Oil Sands",
"description": "Buried under Canada’s boreal forest is one of the world’s largest reserves of oil. Bitumen—a very thick and heavy form of oil (also called asphalt)—coats grains of sand and other minerals in a deposit that covers about 142,200 square kilometers of northwest Alberta.Only 20 percent of the oil sands lie near the surface where they can easily be mined. The rest of the oil sands are buried more than 75 meters below ground and are extracted by injecting hot water into a well that liquefies the oil for pumping. This series of images from the Landsat satellite shows the growth of surface mines over the Athabasca oil sands between 1984 and 2015.These images show slow growth between 1984 and 2000, followed by a decade of more rapid development. The first mine (from 1967, now part of the Millennium Mine) is visible near the Athabasca River in the 1984 image. The only new development visible between 1984 and 2000 is the Mildred Lake Mine (west of the river), which began production in 1996. By 2015 operations have expanded to the north and east. || ",
"release_date": "2013-07-01T10:00:00-04:00",
"update_date": "2025-02-02T23:28:18.320528-05:00",
"main_image": {
"id": 428382,
"url": "http://svs.gsfc.nasa.gov/vis/a030000/a030000/a030056/Athabasca_Oil_Sands_web.png",
"filename": "Athabasca_Oil_Sands_web.png",
"media_type": "Image",
"alt_text": "Landsat animation shows growth of Athabasca surface mines, 1984 to 2015.",
"width": 320,
"height": 180,
"pixels": 57600
}
}
},
{
"id": 407390,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 30053,
"url": "http://svs.gsfc.nasa.gov/30053/",
"page_type": "Hyperwall Visual",
"title": "Dead Sea Salt Farming",
"description": "The Dead Sea is so named because its high salinity discourages the growth of fish, plants, and other wildlife. It is the lowest surface feature on Earth, sitting roughly 1,300 feet below sea level. On a hot, dry summer day, the water level can drop as much as one inch because of evaporation. These three false-color images were captured in 1972, 1989, and 2011 by Landsat satellites. Deep waters are blue or dark blue, while brighter blues indicate shallow waters or salt ponds. Green indicates sparsely vegetated lands. Denser vegetation appears bright red. The ancient Egyptians used salts from the Dead Sea for mummification, fertilizers, and potash (a potassium-based salt). In the modern age, sodium chloride and potassium salts culled from the sea are used for water conditioning, road de-icing, and the manufacturing of polyvinyl chloride (PVC) plastics. The expansions of massive salt evaporation projects are clearly visible over the span of 39 years. || ",
"release_date": "2013-06-25T13:00:00-04:00",
"update_date": "2024-10-10T00:18:57.315060-04:00",
"main_image": {
"id": 428333,
"url": "http://svs.gsfc.nasa.gov/vis/a030000/a030000/a030053/landsat_dead_sea_salt_eob77592_print.jpg",
"filename": "landsat_dead_sea_salt_eob77592_print.jpg",
"media_type": "Image",
"alt_text": "These three false-color images were captured in 1972, 1989, and 2011 by Landsat satellites. Deep waters are blue or dark blue, while brighter blues indicate shallow waters or salt ponds. Green indicates sparsely vegetated lands. Denser vegetation appears bright red. ",
"width": 1024,
"height": 576,
"pixels": 589824
}
}
},
{
"id": 407391,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 30183,
"url": "http://svs.gsfc.nasa.gov/30183/",
"page_type": "Hyperwall Visual",
"title": "Urban Growth in Tucson, Arizona",
"description": "The astronauts who snapped photos of Earth during the Mercury and Gemini missions produced more than just pretty pictures. They planted seeds at the USGS and NASA. In the mid-1960s, the director of USGS proposed a satellite program to observe our planet from above, and later described Landsat as “a direct result of the demonstrated utility of the Mercury and Gemini orbital photography to Earth resource studies.”On a flight in late August 1965, Gemini V astronauts Gordon Cooper and Pete Conrad took photos of the Earth, including a shot showing Tucson, Arizona. A lot changed in the 46 years between that photo and the satellite image acquired in 2011 by the Thematic Mapper on Landsat 5.A comparison of the images shows more city and less green. The expansion of urbanized areas is readily identifiable by the grid pattern of city streets. Between 1965 and 2011, Tucson’s population grew rapidly. In 1970, the population was 262,933; in 2010, it was 520,116. || ",
"release_date": "2013-10-17T12:00:00-04:00",
"update_date": "2025-02-02T23:30:13.207410-05:00",
"main_image": {
"id": 429061,
"url": "http://svs.gsfc.nasa.gov/vis/a030000/a030100/a030183/tucson_urbanization_1965_2011_print.jpg",
"filename": "tucson_urbanization_1965_2011_print.jpg",
"media_type": "Image",
"alt_text": "Between 1965 and 2011, Tucson’s population grew rapidly.",
"width": 1024,
"height": 574,
"pixels": 587776
}
}
},
{
"id": 407392,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 30215,
"url": "http://svs.gsfc.nasa.gov/30215/",
"page_type": "Hyperwall Visual",
"title": "Urban Growth in Las Vegas",
"description": "The city of Las Vegas—meaning the meadows—was established in 1905. Its grassy meadows and artesian springs attracted settlers traveling across the arid Desert Southwest in the early 1800s. In the 1930s, gambling became legalized and construction of the Hoover Dam began, resulting in the city's first growth spurt. Since then, Las Vegas has not stopped growing. Population has reached nearly two million over the past decade, becoming one of the fastest growing metropolitan areas in the world. These false-color images show the rapid urbanization of Las Vegas between 1972 and 2018. The city streets and other impervious surfaces appear gray, while irrigated vegetation appears red. Over the years, the expansion of irrigated vegetation (e.g., lawns and golf courses) has stretched the city’s desert bounds. || ",
"release_date": "2019-03-15T18:00:00-04:00",
"update_date": "2024-10-10T00:19:58.735638-04:00",
"main_image": {
"id": 397087,
"url": "http://svs.gsfc.nasa.gov/vis/a030000/a030200/a030215/landsat_las_vegas_9_image_grid_print.jpg",
"filename": "landsat_las_vegas_9_image_grid_print.jpg",
"media_type": "Image",
"alt_text": "9 images from the Las Vegas Landsat time series",
"width": 1024,
"height": 576,
"pixels": 589824
}
}
},
{
"id": 407393,
"type": "details_page",
"extra_data": null,
"instance": {
"id": 30403,
"url": "http://svs.gsfc.nasa.gov/30403/",
"page_type": "Hyperwall Visual",
"title": "NASA Satellite Data Reveal Impact of Olympic Pollution Controls in Beijing, China",
"description": "Chinese government regulators had clearer skies and easier breathing in mind in the summer of 2008 when they temporarily shuttered some factories and banished many cars in a pre-Olympic sprint to clean up Beijing’s air. And that's what they got.They were not necessarily planning for something else: an unprecedented experiment using satellites to measure the impact of air pollution controls. Taking advantage of the opportunity, NASA researchers have since analyzed data from NASA's Aura and Terra satellites that show how key pollutants responded to the Olympic restrictions.The image on the left, an average of August 2005-07 nitrogen dioxide (NO2) levels, shows high levels of pollution in Beijing and other areas of eastern China. In contrast, levels of nitrogen dioxide (NO2) plunged nearly 50 percent in and around Beijing in August 2008 (right image) after officials instituted strict traffic restrictions in preparation for the Olympic Games. || ",
"release_date": "2013-11-13T12:00:00-05:00",
"update_date": "2024-10-10T00:21:04.878922-04:00",
"main_image": {
"id": 429925,
"url": "http://svs.gsfc.nasa.gov/vis/a030000/a030400/a030403/beijing-pollution-olympics-no2_print.jpg",
"filename": "beijing-pollution-olympics-no2_print.jpg",
"media_type": "Image",
"alt_text": "NASA satellite data reveal impact of olympic pollution controls in Beijing, China.",
"width": 1024,
"height": 457,
"pixels": 467968
}
}
}
],
"extra_data": {}
}
]
}