{ "count": 15, "next": null, "previous": null, "results": [ { "id": 31139, "url": "https://svs.gsfc.nasa.gov/31139/", "result_type": "Hyperwall Visual", "release_date": "2020-05-08T00:00:00-04:00", "title": "Earth: A System of Systems (updated)", "description": "All six time-synchronous datasets, individually and then layered two at a time || layered_pairs_1080p.00001_print.jpg (1024x576) [59.0 KB] || layered_pairs_1080p.00001_searchweb.png (320x180) [42.0 KB] || layered_pairs_1080p.00001_thm.png (80x40) [3.8 KB] || layered_pairs_720p.mp4 (1280x720) [83.6 MB] || layered_pairs_1080p.webm (1920x1080) [28.6 MB] || layered_pairs_1080p.mp4 (1920x1080) [157.7 MB] || layered_pairs_2160p.mp4 (3840x2160) [432.6 MB] || A_System_of_Systems_Updated_-_30701.pptx [436.3 MB] || ", "hits": 83 }, { "id": 30918, "url": "https://svs.gsfc.nasa.gov/30918/", "result_type": "Hyperwall Visual", "release_date": "2017-12-04T00:00:00-05:00", "title": "Total Column Ozone from EP-TOMS and MERRA-2 GMI", "description": "Total Column Ozone from EP-TOMS and MERRA-2 GMIThe ozone layer is Earth’s protection from harmful ultraviolet radiation. NASA has a long history of measuring total column ozone using a variety of instruments, typically with polar orbiting satellites measuring backscattered solar radiation. This produces near global coverage over the course of a day over the sunlit portion of Earth. Some missing data occurs between swaths, over the polar region during winter, and during satellite outages. This animation shows the evolution of daily composites of total column ozone as observed with Earth Probe Total Ozone Mapping Spectrometer (EP-TOMS), on the right panel, from July 1, 2002 to Oct. 31, 2002. On the left panel is the total column ozone from the MERRA-2 GMI simulation, with hourly time resolution over the same time period. MERRA-2 GMI is a Goddard Earth Observing System version 5 (GEOS-5) “replay” simulation at 0.5° (~50km) horizontal resolution, driven by MERRA-2 reanalyzed winds, temperature, and pressure, coupled to the comprehensive Global Modeling Initiative (GMI) stratosphere-troposphere chemical mechanism. This animation shows the onset of the Antarctic ozone hole formation during austral winter of the dynamically active 2002 season and its breakdown during spring. In September 2002, the Antarctic polar vortex split into 2 lobes following the first and only observed major stratospheric warming in the Southern Hemisphere over our observational record. By combining NASA’s observations and chemistry simulations we have a clearer view of the evolution of Earth’s ozone layer over the recent past. || oman_toz_2002_pngs_1080.00001_print.jpg (1024x576) [117.1 KB] || oman_toz_2002_pngs_1080.00001_searchweb.png (320x180) [61.2 KB] || oman_toz_2002_pngs_1080.00001_web.png (320x180) [61.2 KB] || oman_toz_2002_pngs_1080.00001_thm.png (80x40) [6.0 KB] || oman_toz_2002_pngs_1080.webm (1920x1080) [10.5 MB] || oman_toz_2002_pngs_1080.mp4 (1920x1080) [187.7 MB] || ", "hits": 185 }, { "id": 4571, "url": "https://svs.gsfc.nasa.gov/4571/", "result_type": "Visualization", "release_date": "2017-08-29T00:00:00-04:00", "title": "Global Surface- and Upper-Level Winds", "description": "This entry compiles a series of animations created for the use of WGBH in an educational webside. The animations visualize data from the MERRA reanalysis product, showing winds at both the 850 mb and 250 mb levels. The upper level is rainbow-colored, the lower level is white. Both color and opacity of each level are being driven by windspeed. || ", "hits": 121 }, { "id": 4544, "url": "https://svs.gsfc.nasa.gov/4544/", "result_type": "Visualization", "release_date": "2017-05-26T10:30:00-04:00", "title": "2015-2016 El Niño: Daily Sea Surface Temperature Anomaly and Ocean Currents", "description": "This visualization shows 2015-2016 El Nino through changes in sea surface temperature and ocean currents. Blue regions represent colder temperatures and red regions represent warmer temperatures when compared with normal conditions. Yellow arrows illustrate eastward currents and white arrows are westward currents. || GMAO_elNino_oceanTemperatureAnomaly_currents__1300_print.jpg (1024x576) [175.5 KB] || GMAO_elNino_oceanTemperatureAnomaly_currents__1300_searchweb.png (320x180) [97.1 KB] || GMAO_elNino_oceanTemperatureAnomaly_currents__1300_thm.png (80x40) [6.7 KB] || GMAO_elNino_oceanTemperatureAnomaly_currents_1080p.webm (1920x1080) [163.5 KB] || with_colorbar (3840x2160) [256.0 KB] || GMAO_elNino_oceanTemperatureAnomaly_currents_1080p.mp4 (1920x1080) [159.4 MB] || GMAO_oceanTemperatureAnomaly_withColorbar.mp4 (3840x2160) [166.0 MB] || ", "hits": 110 }, { "id": 4171, "url": "https://svs.gsfc.nasa.gov/4171/", "result_type": "Visualization", "release_date": "2014-05-20T00:00:00-04:00", "title": "European Jet Stream", "description": "Meandering around the planet like a rollicking roller coaster in the sky, the Northern Hemisphere's polar jet stream is a fast-moving belt of westerly winds that traverses the lower layers of the atmosphere. The jet is created by the convergence of cold air masses descending from the Arctic and rising warm air from the tropics. Deep troughs and steep ridges emerge as the denser cold air sinks and deflects warm air regions north, giving the jet stream its wavy appearance. This pattern propagates across the mid-latitudes of North America, Europe and Asia, as pockets of cold air sporadically creep down from the Arctic—creating contrasting waves and flows that accelerate eastward due to Earth's rotation. This visualization uses weather and climate observations from NASA's MERRA data model. || ", "hits": 593 }, { "id": 4148, "url": "https://svs.gsfc.nasa.gov/4148/", "result_type": "Visualization", "release_date": "2014-02-25T00:00:00-05:00", "title": "The Polar Jet Stream Over Asia, 2010", "description": "Meandering around the planet like a rollicking roller coaster in the sky, the Northern Hemisphere's polar jet stream is a fast-moving belt of westerly winds that traverses the lower layers of the atmosphere. The jet is created by the convergence of cold air masses descending from the Arctic and rising warm air from the tropics. Deep troughs and steep ridges emerge as the denser cold air sinks and deflects warm air regions north, giving the jet stream its wavy appearance. This pattern propagates across the mid-latitudes of North America, Europe and Asia, as pockets of cold air sporadically creep down from the Arctic—creating contrasting waves and flows that accelerate eastward due to Earth's rotation. This visualization was adapted from The Polar Jet Stream (#3864) by special request, using weather and climate observations from NASA's MERRA data model from 2010 for the period of the floods in Russia and the droughts in Pakistan. || ", "hits": 70 }, { "id": 3864, "url": "https://svs.gsfc.nasa.gov/3864/", "result_type": "Visualization", "release_date": "2011-10-03T00:00:00-04:00", "title": "The Polar Jet Stream", "description": "Meandering around the planet like a rollicking roller coaster in the sky, the Northern Hemisphere's polar jet stream is a fast-moving belt of westerly winds that traverses the lower layers of the atmosphere. The jet is created by the convergence of cold air masses descending from the Arctic and rising warm air from the tropics. Deep troughs and steep ridges emerge as the denser cold air sinks and deflects warm air regions north, giving the jet stream its wavy appearance. This pattern propagates across the mid-latitudes of North America, Europe and Asia, as pockets of cold air sporadically creep down from the Arctic - creating contrasting waves and flows that accelerate eastward due to Earth's rotation. Running from June 10 to July 8 of 1988, the visualization below uses weather and climate observations from NASA's MERRA dataset to model nearly a month of the jet stream's whirling journey over North America. || ", "hits": 946 }, { "id": 3726, "url": "https://svs.gsfc.nasa.gov/3726/", "result_type": "Visualization", "release_date": "2010-07-30T00:00:00-04:00", "title": "NCCS Hyperwall Show: MERRA Timeline", "description": "This animation is a timeline intended to accompany the NCCS MERRA hyperwall show. The timeline shows the extent of the MERRA data set along with the period that the NCCS hyperwall MERRA show covers. The MERRA show includes visualizations from May through July for the years 1993 (a flood year for central North America) and 1988 (a drought year for central North America). Visualizations synchronized in time are shown above and below the timeline on the hyperwall.MERRA. is the Modern Era Retrospective-analysis for Research and Applications. It is a 30-year continuous data record based on a computational atmospheric model that includes assimilated satellite data. MERRA uses the Goddard Earth Observing System Data Assimilation System Version 5 (GEOS-5) 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. || ", "hits": 12 }, { "id": 3719, "url": "https://svs.gsfc.nasa.gov/3719/", "result_type": "Visualization", "release_date": "2010-06-24T00:00:00-04:00", "title": "MERRA Specific Humidity", "description": "Retrospective-analyses (or reanalyses) have been a critical tool in studying weather and climate variability for the last 15 years. Reanalyses blend the continuity and breadth of output data of a numerical model with the constraint of vast quantities of observational data. The result is a long-term continuous data record. The Modern Era Retrospective-analysis for Research and Applications was developed to support NASA's Earth science objectives, by applying the state-of-the-art GMAO data assimilation system that includes many modern observing systems (such as EOS) in a climate framework.The MERRA time period covers the modern era of remotely sensed data, from 1979 through the present, and the special focus of the atmospheric assimilation is the hydrological cycle.The time period covered by the visualization is the months of May, June, and July of 1988 and 1993, two years with contrasting extreme weather events during the summer: a drought through the midwestern states of the US in 1988, and heavy rains and flooding through the same region in 1993.This visualization shows the specific humidity dataset produced by MERRA, up to a geopotential height of 20 km. The height coordinate is greatly exaggerated. Both opacity and color are driven by the data value.This animation was created as part of a presentation for the Nasa Center for Climate Simulation (NCCS) hyperwall display. This is a set of tiled high definition displays consisting of 5 displays across by 3 displays down. The full resolution of all combined displays is 6840 pixels accross by 2304 pixels down. For the full presentation, see the link below. || ", "hits": 31 }, { "id": 3732, "url": "https://svs.gsfc.nasa.gov/3732/", "result_type": "Visualization", "release_date": "2010-06-24T00:00:00-04:00", "title": "MERRA Relative Humidity", "description": "Retrospective-analyses (or reanalyses) have been a critical tool in studying weather and climate variability for the last 15 years. Reanalyses blend the continuity and breadth of output data of a numerical model with the constraint of vast quantities of observational data. The result is a long-term continuous data record. The Modern Era Retrospective-analysis for Research and Applications was developed to support NASA's Earth science objectives, by applying the state-of-the-art GMAO data assimilation system that includes many modern observing systems (such as EOS) in a climate framework.The MERRA time period covers the modern era of remotely sensed data, from 1979 through the present, and the special focus of the atmospheric assimilation is the hydrological cycle.The time period covered by the visualization is the months of May, June, and July of 1988 and 1993, two years with contrasting extreme weather events during the summer: a drought through the midwestern states of the US in 1988, and heavy rains and flooding through the same region in 1993.This visualization shows the relative humidity dataset produced by MERRA, up to a geopotential height of 20 km. The height coordinate is greatly exaggerated. Both opacity and color are driven by the data value.This animation was created as part of a presentation for the Nasa Center for Climate Simulation (NCCS) hyperwall display. This is a set of tiled high definition displays consisting of 5 displays across by 3 displays down. The full resolution of all combined displays is 6840 pixels accross by 2304 pixels down. For the full presentation, see the link below. || ", "hits": 90 }, { "id": 3733, "url": "https://svs.gsfc.nasa.gov/3733/", "result_type": "Visualization", "release_date": "2010-06-24T00:00:00-04:00", "title": "MERRA Wind", "description": "Retrospective-analyses (or reanalyses) have been a critical tool in studying weather and climate variability for the last 15 years. Reanalyses blend the continuity and breadth of output data of a numerical model with the constraint of vast quantities of observational data. The result is a long-term continuous data record. The Modern Era Retrospective-analysis for Research and Applications was developed to support NASA's Earth science objectives, by applying the state-of-the-art GMAO data assimilation system that includes many modern observing systems (such as EOS) in a climate framework.The MERRA time period covers the modern era of remotely sensed data, from 1979 through the present, and the special focus of the atmospheric assimilation is the hydrological cycle.The time period covered by the visualization is the months of May, June, and July of 1988 and 1993, two years with contrasting extreme weather events during the summer: a drought through the midwestern states of the US in 1988, and heavy rains and flooding through the same region in 1993.This visualization shows the combined U and V components of wind at three different pressure levels: 850 mb, 500 mb, and 300 mb. The pressure coordinate is greatly exaggerated.This animation was created as part of a presentation for the Nasa Center for Climate Simulation (NCCS) hyperwall display. This is a set of tiled high definition displays consisting of 5 displays across by 3 displays down. The full resolution of all combined displays is 6840 pixels accross by 2304 pixels down. For the full presentation, see the link below. || ", "hits": 43 }, { "id": 3734, "url": "https://svs.gsfc.nasa.gov/3734/", "result_type": "Visualization", "release_date": "2010-06-24T00:00:00-04:00", "title": "MERRA Combined Liquid Water and Ice Mixing Ratios", "description": "Retrospective-analyses (or reanalyses) have been a critical tool in studying weather and climate variability for the last 15 years. Reanalyses blend the continuity and breadth of output data of a numerical model with the constraint of vast quantities of observational data. The result is a long-term continuous data record. The Modern Era Retrospective-analysis for Research and Applications was developed to support NASA's Earth science objectives, by applying the state-of-the-art GMAO data assimilation system that includes many modern observing systems (such as EOS) in a climate framework.The MERRA time period covers the modern era of remotely sensed data, from 1979 through the present, and the special focus of the atmospheric assimilation is the hydrological cycle.The time period covered by the visualization is the months of May, June, and July of 1988 and 1993, two years with contrasting extreme weather events during the summer: a drought through the midwestern states of the US in 1988, and heavy rains and flooding through the same region in 1993.This visualization shows the combined liquid water and ice mixing ratio dataset produced by MERRA, roughly corresponding to cloud cover, up to an geopotential height of 20 km. The height coordinate is greatly exaggerated. Both opacity and color are driven by the data value.This animation was created as part of a presentation for the NASA Center for Climate Simulation (NCCS) hyperwall display. This is a set of tiled high definition displays consisting of 5 displays across by 3 displays down. The full resolution of all combined displays is 6840 pixels accross by 2304 pixels down. For the full presentation, see the link below. || ", "hits": 23 }, { "id": 3735, "url": "https://svs.gsfc.nasa.gov/3735/", "result_type": "Visualization", "release_date": "2010-06-24T00:00:00-04:00", "title": "MERRA Rate of Total Precipitation, 1988, 1993", "description": "Retrospective-analyses (or reanalyses) have been a critical tool in studying weather and climate variability for the last 15 years. Reanalyses blend the continuity and breadth of output data of a numerical model with the constraint of vast quantities of observational data. The result is a long-term continuous data record. The Modern Era Retrospective-analysis for Research and Applications was developed to support NASA's Earth science objectives, by applying the state-of-the-art GMAO data assimilation system that includes many modern observing systems (such as EOS) in a climate framework.The MERRA time period covers the modern era of remotely sensed data, from 1979 through the present, and the special focus of the atmospheric assimilation is the hydrological cycle.The time period covered by the visualization is the months of May, June, and July of 1988 and 1993, two years with contrasting extreme weather events during the summer: a drought through the midwestern states of the US in 1988, and heavy rains and flooding through the same region in 1993.This visualization shows the total precipitation rate dataset produced by MERRA.This animation was created as part of a presentation for the NASA Center for Climate Simulation (NCCS) hyperwall display. This is a set of tiled high definition displays consisting of 5 displays across by 3 displays down. The full resolution of all combined displays is 6840 pixels accross by 2304 pixels down. For the full presentation, see the link below. || ", "hits": 18 }, { "id": 10563, "url": "https://svs.gsfc.nasa.gov/10563/", "result_type": "Produced Video", "release_date": "2010-06-02T00:00:00-04:00", "title": "Supercomputing the Climate", "description": "Goddard Space Flight Center is the home of a state-of-the-art supercomputing facility called the NASA Center for Climate Simulation (NCCS) that is capable of running highly complex models to help scientists better understand Earth's climate. || ", "hits": 161 }, { "id": 10568, "url": "https://svs.gsfc.nasa.gov/10568/", "result_type": "Produced Video", "release_date": "2010-06-02T00:00:00-04:00", "title": "NCCS Video Files", "description": "These three clips show highlights of the NASA Center for Climate Simulation (NCCS) at Goddard Space Flight Center. || ", "hits": 42 } ] }