Image Caption
Second Line
The ocean is not a still body of water. There is constant motion \nin the ocean in the form of a global ocean conveyor belt due to \nthermohaline currents. These currents are density driven, which are \naffected by both temperature and salinity. Cold, salty water is \ndense and sinks to the bottom of the ocean while warm water is less \ndense and rises to the surface. The \"start\" of the ocean conveyor \nbelt is in the Norwegian Sea. Warm water is transported to the \nNorwegian Sea by the Gulf Stream. The warm water provides heat for \nthe atmosphere in the northern latitudes that gets particularly cold \nduring the winter. This loss of heat to the atmosphere makes the \nwater cooler and denser, causing it to sink to the bottom of the \nocean. As more warm water is transported north, the cooler water \nsinks and moves south to make room for the incoming warm water. \nThis cold bottom water flows south of the equator all the way down \nto Antarctica. Eventually, the cold bottom waters are able to warm \nand rise to the surface, continuing the conveyor belt that encircles \nthe globe. It takes water almost 1000 years to move through the \nwhole conveyor belt.
\nThere are two datasets that illustrate the ocean circulation. This dataset is an animation that shows the movement of the ocean conveyor belt and the second dataset is a still image that has the major ocean currents labeled. Surface waters are the red lines and \ncold, bottom waters are the blue lines. Changes in ocean circulation could have drastic impacts on the climate. The \ntransport of heat associated with the ocean conveyor belt partially \nmoderates the cold temperatures in the North. As the poles warm due \nto climate change, melt water from ice and glaciers enters the \nocean. This fresh melt water has the potential to slow or even shut \noff the ocean circulation, which is dependent on temperature and \nsalinity. The density of the fresh melt water is less than that of \nsalty ocean water. This causes the fresh melt water to form a layer \non the surface that can block the warm, salty ocean water from \ntransporting heat to the atmosphere. The effect would be a cooling \nof the higher latitudes. If the warm water is not able to give off \nheat, it can not cool and sink to the bottom of the ocean. This \nwould disturb the circulation of the entire ocean conveyor belt and \nhave a noticeable impact on the climate in the northern latitudes.
\n", "format": "video/mp4", "websiteLink": "http://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=151", "dataLink": "https://vimeo.com/639740822", "thumbnailLink": "https://s3.amazonaws.com/metadata.sosexplorer.gov/oceans/ocean_conveyor_belt/thumbnail_small.jpg", "runTourOnLoad": "https://s3.amazonaws.com/metadata.sosexplorer.gov/oceans/ocean_conveyor_belt/tour.json", "legendLink": "", "weight": 10, "isHidden": false, "tags": [ "Water" ] }, { "organization": "", "id": "ID_BUHRROTWNF", "title": "Solar Resources", "abstractTxt": "", "startTime": "", "endTime": "", "format": "image/png", "websiteLink": "http://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=690", "dataLink": "https://s3.amazonaws.com/metadata.sosexplorer.gov/extras/solar_resources/solar.png", "thumbnailLink": "https://s3.amazonaws.com/metadata.sosexplorer.gov/extras/solar_resources/thumbnail_small.jpg", "runTourOnLoad": "https://s3.amazonaws.com/metadata.sosexplorer.gov/extras/solar_resources/tour.json", "legendLink": "", "weight": 10, "isHidden": false, "tags": [ "People", "Land", "Air" ] }, { "organization": "", "id": "ID_ODUPDFVNTK", "title": "Wind Resources", "abstractTxt": "", "startTime": "", "endTime": "", "format": "image/png", "websiteLink": "http://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=690", "dataLink": "https://s3.amazonaws.com/metadata.sosexplorer.gov/extras/wind_resources/wind.png", "thumbnailLink": "https://s3.amazonaws.com/metadata.sosexplorer.gov/extras/wind_resources/thumbnail_small.jpg", "runTourOnLoad": "https://s3.amazonaws.com/metadata.sosexplorer.gov/extras/wind_resources/tour.json", "legendLink": "", "weight": 10, "isHidden": false, "tags": [ "People", "Land", "Air" ] }, { "id": "INTERNAL_SOS_690_ONLINE", "localizationID": "INTERNAL_SOS_690_ONLINE", "organization": "UN Department of Economic and Social Affairs", "title": "Human Migration - 2010 - 2015", "abstractTxt": "", "startTime": "2010-01-01T00:00:00", "endTime": "2015-12-31T00:00:00", "dataLink": "https://s3.amazonaws.com/metadata.sosexplorer.gov/extras/migration_2015/migration.png", "runTourOnLoad": "https://s3.amazonaws.com/metadata.sosexplorer.gov/extras/migration_2015/tour.json", "format": "image/png", "legendLink": "https://s3.amazonaws.com/metadata.sosexplorer.gov/extras/migration_2015/colorbar.png", "websiteLink": "http://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=690", "thumbnailLink": "https://s3.amazonaws.com/metadata.sosexplorer.gov/extras/migration_2015/thumbnail_small.jpg", "isHidden": false, "weight": 10, "tags": [ "People" ] }, { "id": "INTERNAL_Paleo_Map", "localizationID": "INTERNAL_Paleo_Map", "organization": "NOAA", "title": "PALEOMAP PaleoAtlas 0 - 750 Million Years Ago", "abstractTxt": "", "dataLink": "https://vimeo.com/572745549", "format": "video/mp4", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=696", "thumbnailLink": "https://s3.amazonaws.com/metadata.sosexplorer.gov/land/paleo_map/thumbnail_small.jpg", "runTourOnLoad": "https://s3.amazonaws.com/metadata.sosexplorer.gov/land/paleo_map/tour.json", "isHidden": false, "weight": 10, "tags": [ "Land" ] }, { "id": "INTERNAL_Ocean_Depth_Temps", "localizationID": "INTERNAL_Ocean_Depth_Temps", "organization": "NOAA", "title": "Ocean Temperature at Depth - Seasonal", "abstractTxt": "", "dataLink": "https://vimeo.com/558746359", "format": "video/mp4", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=716", "thumbnailLink": "https://s3.amazonaws.com/metadata.sosexplorer.gov/oceans/ocean_depths_temp/thumbnail_small.jpg", "legendLink": "https://s3.amazonaws.com/metadata.sosexplorer.gov/oceans/ocean_depths_temp/colorbar.png", "runTourOnLoad": "https://s3.amazonaws.com/metadata.sosexplorer.gov/oceans/ocean_depths_temp/tour.json", "isHidden": false, "weight": 10, "tags": [ "Water" ] }, { "id": "INTERNAL_SOS_2020_hurricanes", "localizationID": "INTERNAL_SOS_2020_hurricanes", "organization": "NOAA", "title": "Hurricane Season 2020", "abstractTxt": "", "startTime": "2020-05-01T00:00:00", "endTime": "2020-11-30T23:40:00", "period": "PT20M", "dataLink": "https://vimeo.com/500277118", "format": "video/mp4", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=715", "thumbnailLink": "https://s3.amazonaws.com/metadata.sosexplorer.gov/atmosphere/2020_hurricanes/thumbnail_small.jpg", "runTourOnLoad": "https://s3.amazonaws.com/metadata.sosexplorer.gov/atmosphere/2020_hurricanes/tour.json", "isHidden": false, "weight": 10, "tags": [ "Air" ] }, { "id": "INTERNAL_SOS_701_VIDEO", "localizationID": "INTERNAL_SOS_701_VIDEO", "organization": "NOAA Pacific Tsunami Warning Center", "title": "Earthquakes of the 20th Century", "abstractTxt": "", "dataLink": "https://vimeo.com/457863248", "format": "video/mp4", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=701", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/land/Earthquakes_1901-2000/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/land/Earthquakes_1901-2000/tour.json", "isHidden": false, "weight": 10, "tags": [ "Land" ] }, { "id": "INTERNAL_SOS_DUST_ONLINE", "organization": "Global Systems Division", "title": "Saharan Air Layer (FV3-Chem Model)", "abstractTxt": "", "startTime": "2020-06-29T06:00:00", "endTime": "2020-07-06T23:59:59", "period": "PT6H", "dataLink": "https://vimeo.com/434074799", "format": "video/mp4", "websiteLink": "https://fim.noaa.gov/FV3chem/", "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/atmosphere/african_dust/colorbar.jpg", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/atmosphere/african_dust/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/atmosphere/african_dust/tour.json", "isHidden": false, "weight": 10, "tags": [ "Air" ] }, { "id": "INTERNAL_SOS_706_VIDEO", "localizationID": "INTERNAL_SOS_706_VIDEO", "organization": "NOAA Global Systems Laboratory", "title": "Planet Rotations", "abstractTxt": "When you think of a day, you normally think of one cycle through one day and one night. That is called a solar day. Another way to measure a day is to count the amount of time it takes for a planet to completely spin around and make one full rotation. This is called a sidereal day. On Earth, a sidereal day is almost exactly 23 hours and 56 minutes. We know how long an Earth day is, but how about the other planets in our solar system? How long does it take for those planets to spin one full rotation? And what is the best way to show the answer to this question?", "period": "PT1D", "dataLink": "https://vimeo.com/380055430", "format": "video/mp4", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=706", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/astronomy/planet_rotations/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/astronomy/planet_rotations/tour.json", "isHidden": false, "weight": 10, "tags": [ "Space" ] }, { "id": "INTERNAL_SOS_493_ONLINE", "localizationID": "INTERNAL_SOS_493_ONLINE", "organization": "InterRidge Vents Database", "title": "Volcanoes and Deep-Sea Vent Locations", "abstractTxt": "This dataset shows all known locations of deep-sea hydrothermal vents and volcanoes. Hydrothermal vents form in places where there is volcanic activity, such as along Earth\u2019s plate boundaries. They occur when seawater seeps down and is heated deep beneath the seafloor. The hot fluid rises and gushes out of vents at temperatures up to 400 deg C (more than 750 deg F!), carrying with it chemical energy that supports life in the otherwise cold, dark, deep sea.
\r\nThis subset of the InterRidge Vents Database maps the locations of the total known (213) deep-sea vent fields that were confirmed active by observations at the seafloor at depths greater than 200 m, as of year 2011. Note: a vent field is a cluster of vent sites in relatively close proximity (i.e., on the order of 0.1-1 km).
\r\nThis dataset shows deep-sea vent locations as star icons, along with volcano locations as triangles icons, over the ETOPO1 base image. The dataset includes additional image files: icons (which can be used as a pointer or stamped on the image) including deep-diving vehicles Alvin and Jason, and a PIP (picture in picture) showing a cross section diagram through a hydrothermal vent. All of these are layers that can be toggled on & off. More information on the PIP: Cold seawater (blue) seeps into the seafloor, circulates near a heat source (red) deep beneath the seafloor, becomes hot and buoyant, and flows upward (red to yellow to white) into focused hydrothermal vents (black smokers) and diffuse hydrothermal vents. We recommend also using the overlay Plate Boundaries - Colorized.
\r\nIn addition, you may be interested in the Deep-Sea Vent Discoveries dataset, showing the discoveries of these vents over time.
", "dataLink": "https://d3sik7mbbzunjo.cloudfront.net/oceans/vent_location/vent_locations.jpg", "format": "image/jpg", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=493", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/oceans/vent_location/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/oceans/vent_location/tour.json", "isHidden": false, "isHiddenFromVRSearch": true, "weight": 10, "tags": [ "Water" ] }, { "id": "INTERNAL_SOS_483_VIDEO", "localizationID": "INTERNAL_SOS_483_VIDEO", "organization": "Institute on the Environment at the University of Minnesota ", "title": "Hot Air: Atmosphere and Climate Change (movie)", "abstractTxt": "Hot Air is a three-minute autorun film about human-induced changes to the atmosphere. Featuring atmospheric scientist Tracy Twine from the University of Minnesota, the film explains the fundamentals of the greenhouse effect, the basic facts about changes in the carbon dioxide concentration of the atmosphere, and historical temperature variations. The show is built around a dataset showing global temperature anomalies from 1880 - 2012, carefully explaining what the dataset represents and what its implications are. Professor Twine then connects this global threat to her individual research on urban heat islands, demonstrating the connection between large-scale challenges and individual research efforts.\r\n
\r\n\r\nHot Air is one in a series of four SOS films that use data visualizations and actual scientists to tell stories about the impacts of climate change. No other single natural factor affects Earth as much as humans now do. Separately, each film stands alone, focusing on a single area of human impact, and features a researcher working in this area. Together, the films tell a bigger story about the human-generated effects of global climate change.\r\n
\r\n\r\nThis movie is available in English and Spanish.
\r\n\r\nLength of dataset: 3:12
", "dataLink": "https://vimeo.com/349673099", "format": "video/mp4", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=483", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/hot_air/thumbnail_small.jpg", "closedCaptionLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/hot_air/hot-air.en_US.srt", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/extras/hot_air/tour.json", "isHidden": false, "weight": 10, "tags": [ "Air", "Movies" ] }, { "id": "INTERNAL_SOS_292_VIDEO", "localizationID": "INTERNAL_SOS_292_VIDEO", "organization": "NASA/GSFC", "title": "Frozen (movie)", "abstractTxt": "In an era where change itself seems to be the subject holding people's attention, NASA proudly presents a spectacular new movie depicting a changing Earth. Called FROZEN, it showcases a major part of our home planet in ways never seen before.
\nFROZEN features the global cryosphere, those places on Earth where the temperature doesn't generally rise above water's freezing point. As one of the most directly observable climate gauges, the changing cryosphere serves as a proxy for larger themes. The movie brings the Earth alive, projected onto spherical movie screens hanging in the center of darkened theaters. Turning in space, the sphere becomes a portal onto a virtual planet, complete with churning, swirling depictions of huge natural forces moving below.
\nIce shows deep, persistent, global changes more readily than other kinds of geographic features. Where the world stays cold over time, liquid water freezes. Where the world persistently grows warm, ice in its many forms thaws. It's natural, therefore, to focus substantial attention on those parts of the Earth that historically depend on ice. Polar caps, high altitude glaciers, permafrost covered plains and many other cold regions play a vital role in global climate sustainability. As those regions and other cold places change, so changes the overall condition of the planet. As a proxy for climate change, changing ice opens a dialogue about a variety of subjects, from the importance of gathering long terms records about the Earth, to the techniques scientists use to study our home from space, to the day-to-day habits that individuals and communities around the world adopt in relation to their environment.
\nFor more information, visit the Frozen website.
\nLength of dataset: 12:25
", "dataLink": "https://vimeo.com/349671539", "format": "video/mp4", "closedCaptionLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/frozen/frozen.en_US.srt", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=292", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/extras/frozen/tour.json", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/frozen/thumbnail_small.jpg", "isHidden": false, "weight": 10, "tags": [ "Movies", "Snow and Ice" ] }, { "id": "INTERNAL_SOS_182_VIDEO", "localizationID": "INTERNAL_SOS_182_VIDEO", "organization": "University of California Santa Cruz, Tagging of the Pacific Pelagics Project ", "title": "Seal and Seabird Tracks: Pacific Ocean", "abstractTxt": "\"TOPP, Tagging of the Pacific Predators, began in 2000 as one of 17 projects of the Census of Marine Life, an ambitios 10-year, 80-nation endeavor to assess and explain the diversity and abundance of life in the oceans, and where that life has lived, is living, and will live.\" - From TOPP website . Out of this came the Tagging of the Pacific Pelagics Project. Pelagaics are open ocean species such as sea birds and elephant seals. Scientists put satellite tags on animals that collect information about position, ocean temperature, pressure, salinity and more! This allows scientists to better understand the migration patterns and habits of these animals.\n
\n\nThis dataset follows Northern elephant seals and Sooty Shearwater seabirds. Northern elephant seals dive deep, sometimes down to 4,650ft and routinely down to 1,800ft. They spend 10 months a year at sea and return to the same beach a couple of times a year, so they are easy to tag and monitor. Sooty Shearwater seabirds are long distance fliers that may travel 74,000km (46,000miles) in a year, reaching Japan, Alaska and California. This dataset tracks Northern elephant seals and Sooty Shearwater seabirds from January 28, 2005 through February 1, 2006. Pictures of elephant seals are available for use as PIPs (picture in pictures).\n
\nSee real-time tracking of the Pacific Pelagics
", "startTime": "2005-01-28T00:00:00", "endTime": "2006-02-01T00:00:00", "period": "P1D", "dataLink": "https://vimeo.com/349530817", "format": "video/mp4", "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/oceans/animal_tracking/colorbar.jpg", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=182", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/oceans/animal_tracking/tour.json", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/oceans/animal_tracking/thumbnail_small.jpg", "isHidden": false, "weight": 10, "tags": [ "Water" ] }, { "organization": "Parallel Ocean Program by Los Alamos National Laboratory", "id": "INTERNAL_SOS_604_VIDEO", "title": "Ocean Surface Vorticity", "abstractTxt": "This animation shows daily values of the ocean surface relative vorticity as simulated by the Parallel Ocean Program (POP). Vorticity, which can be thought of as the rate of fluid rotation, is particularly useful for visualizing ocean turbulent flow, highlighting the presence of swirling eddies. A significant amount of the total kinetic energy in the world ocean is attributable to these turbulent motions, making them an important component in balances of energy, momentum, heat, salt, and chemical constituents (such as carbon dioxide) throughout the globe.\n\n", "startTime": "0001-01-01T12:00:00", "endTime": "0001-12-31T12:00:00", "boundingVariables": { "n": "90", "s": "-90", "w": "-180", "e": "180" }, "format": "video/mp4", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=604", "dataLink": "https://vimeo.com/349532644", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/oceans/vorticity/thumbnail_small.jpg", "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/oceans/vorticity/colorbar.png", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/oceans/vorticity/tour.json", "weight": "10", "isHidden": false, "tags": [ "Water" ], "kmlIconScaleFactor": 1, "isFlippedInY": false, "lonOrigin": -180, "fileSequenceStart": 1, "fileSequenceIncrement": 1, "period": "P1D" }, { "id": "INTERNAL_SOS_432_VIDEO", "localizationID": "INTERNAL_SOS_432_VIDEO", "organization": "NOAA GFDL's CM2.6 ", "title": "Sea Surface Salinity", "abstractTxt": "Processes that took place through Earth's history, such as the weathering of rocks, evaporation of ocean water, and the formation of sea ice, have made the ocean salty. Those are still at work today and are counterbalanced by processes that decrease the salt in the ocean, like freshwater input from rivers, precipitation, and the melting of ice. The result is an ocean surface where the salinity - the concentration of salt - changes and these changes, small as they may be, have large-scale effects on Earth's water cycle and ocean circulation.
\r\nLooking down on the oceans from high above, this animation depicts the day-by-day time evolution of sea surface salinities simulated by the NOAA GFDL CM2.6 climate model. One can see the interplay of fresh waters as they seek to exit the Arctic, moving southward along both sides of Greenland until they merge and circulate around the rim of the Labrador Sea. At the same time, higher salinity surface waters flow from the Gulf Stream extension, pass between Iceland and the British Isles, and enter the Nordic Seas. Icebergs are made of fresh frozen water, therefore, where icebergs form, sea surface salinity increases causing the water to increase in density. This high resolution model - the model grid cells are all smaller than 5 km (3.1 miles) on a side in the Arctic region - produces a wealth of eddies, which play a role in transport salt and heat in the ocean.
\r\n
Ocean salinity is measured in PSU (practical salinity unit), grams of salt per 1000 grams of water.
", "startTime": "0001-01-01T12:00:00", "endTime": "0003-12-30T12:00:00", "period": "P1D", "dataLink": "https://vimeo.com/348260422", "format": "video/mp4", "fileSequenceStart": "0", "fileSequenceIncrement": 1, "probingInfo": { "units": "psu", "minVal": 20, "maxVal": 38, "minPos": { "x": 45, "y": 99, "XUnits": "Pixels", "YUnits": "Pixels" }, "maxPos": { "x": 277, "y": 99, "XUnits": "Pixels", "YUnits": "Pixels" } }, "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/oceans/sss/colorbar.png", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=432", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/oceans/sss/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/oceans/sss/tour.json", "isHidden": false, "weight": 10, "tags": [ "Water" ] }, { "id": "INTERNAL_SOS_154_VIDEO", "localizationID": "INTERNAL_SOS_154_VIDEO", "organization": "Walter Smith, NOAA ", "title": "Ocean Drain (with gray bathymetry)", "abstractTxt": "Beneath the sea surface is an amazing sea floor that contains mountain ranges, trenches and plains. The ocean covers 71% of the Earth's surface, has an area of 139,400,000 square miles and an average depth of 2.3 miles. Due to this vast size, only a few percent the sea floor has been mapped by ships. Maps of the sea floor are created by combining soundings from ships, sonar scans from ships, and gravity anomalies in the sea surface detected by satellites.
\nThis dataset gradually reveals the sea floor as the ocean is \"drained.\" The scale in the dataset shows the distance below sea level in meters and miles. As selected features are revealed, a label appears. For this animation, the labeled areas include Mariana Trench, Tonga Trench, Puerto Rico Trench, Hawaiian Islands, Grand Banks, Mid-Atlantic Ridge and Ninety East Ridge. The deepest area in the ocean is the Mariana Trench, which is 6.86 miles (11,033 meters) deep. The longest mountain range in the world is the Mid-Atlantic Ridge, which runs through the middle of the Atlantic Ocean. This dataset has no labels and the land is shaded in true color with the oceans shaded gray. There are two other versions available that are fully labeled with a colorized seafloor based on bathymetry, Ocean Drain with Land Background is shaded in true color and Ocean Drain with Etopo Background illustrates the same draining with the land shaded based on elevation.
\n", "dataLink": "https://vimeo.com/348251963", "format": "video/mp4", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=154", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/oceans/ocean_drain/gray/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/oceans/ocean_drain/gray/tour.json", "isHidden": false, "weight": 10, "tags": [ "Water" ] }, { "id": "INTERNAL_SOS_173_VIDEO", "localizationID": "INTERNAL_SOS_173_VIDEO", "organization": "NOAA GFDL Earth System Model (ESM2M)", "title": "Ocean Acidification: Saturation State", "abstractTxt": "Ocean acidification is an often overlooked consequence of humankind's release of carbon dioxide emissions into the atmosphere from fossil fuel burning. Excess carbon dioxide enters the ocean and reacts with water to form carbonic acid, which decreases ocean pH (i.e., makes seawater less basic), and lowers carbonate ion concentrations. Organisms such as corals, clams, oysters, and some plankton use carbonate ions to create their shells and skeletons. Decreases in carbonate ion concentration will make it difficult for these creatures to form hard structures, particularly for juveniles. Ocean acidification may cause some organisms to die, reproduce less successfully, or leave an area. Other organisms such as seagrass and some plankton species may do better in oceans affected by ocean acidification because they use carbon dioxide to photosynthesize, but do not require carbonate ions to survive. Ocean ecosystem diversity and ecosystem services may therefore change dramatically from ocean acidification.
\r\n\r\nThis datasets shows computer model simulations of surface ocean aragonite saturation state from 1861 to 2100, based on historical data and future projections of carbon dioxide emissions, with continents and coral reefs in purple marked. Aragonite saturation state is commonly used to track ocean acidification because it is a measure of carbonate ion concentration. Aragonite is one of the more soluble forms of calcium carbonate and is widely used by marine calcifiers (organisms with calcium carbonate structures). Corals and other calcifiers are more likely to survive and reproduce when the saturation state is greater than three. When aragonite saturation state falls below 3, these organisms become stressed, and when saturation state is less than 1, shells and other aragonite structures begin to dissolve. The predicted pH decrease of approximately 0.3 units during the 21st century would be a greater change than possibly at any time in the last 300 million years.
\r\n\r\nThe model simulation is driven with atmospheric emissions based on records of atmospheric carbon dioxide levels for past dates, and the CMIP5 IPCC RCP 8.5 scenario for future dates (approx. 950 ppm atmospheric CO2 by 2100).
", "startTime": "1861-01-01T00:00:00", "endTime": "2100-01-01T00:00:00", "period": "P1Y", "dataLink": "https://vimeo.com/347184016", "format": "video/mp4", "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/oceans/ocean_acid/saturation/colorbar.png", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=173", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/oceans/ocean_acid/saturation/tour.json", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/oceans/ocean_acid/saturation/thumbnail_small.jpg", "isHidden": false, "weight": 10, "tags": [ "Water" ] }, { "id": "INTERNAL_SOS_616_VIDEO", "localizationID": "INTERNAL_SOS_616_VIDEO", "organization": "ECCO2 High Resolution Ocean and Sea Ice Model, Ocean Surface Buoys/Various/Global Drifter Database", "title": "Marine Debris: Garbage Patch Experiment (drifters and model)", "abstractTxt": "This modeled experiment was conducted to see if it was possible to visualize the so-called ocean garbage patches. It begins with data from floating, scientific buoys that NOAA has been distributing in the oceans for the last 35-year represented as white dots. Since new buoys are continually released, it's hard to tell where older buoys move to. So, if all of the buoys are let go at the same time, it's possible to observe buoy migration patterns. The number of buoys decreases because some buoys don't last as long as others. The buoys migrate to 5 known gyres also called ocean garbage patches.", "dataLink": "https://vimeo.com/347168831", "format": "video/mp4", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/oceans/drifters_and_model/tour.json", "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/oceans/drifters_and_model/cbar.png", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=616", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/oceans/drifters_and_model/thumbnail_small.jpg", "isHidden": false, "weight": 10, "tags": [ "Water" ] }, { "id": "INTERNAL_SOS_181_VIDEO", "localizationID": "INTERNAL_SOS_181_VIDEO", "organization": "Pacific Islands Fisheries Science Center, NOAA/NMFS ", "title": "Loggerhead Sea Turtle Tracks", "abstractTxt": "Using satellite transmitting tags on wildlife allows scientists \nto monitor the behaviors of the wildlife in their natural habitats. \nThis dataset contains the tracks of juvenile loggerhead sea turtles \nthat were tagged and monitored. Some of the turtles were caught on \ncommercial fishing vessels north of Hawaii and the other turtles \nwere raised in the hatchery at the Port of Nagoya Aquarium in Japan. \n After being tagged the turtles were released at various at-sea \nlocations. The data used in this dataset is from 1997 through 2006. \n The animation represents a daily climatology showing the turtle \ndaily movement, independent of the year. The background is a daily \nclimatology of satellite remotely-sensed sea surface temperature. \nThe size of the turtle graphic is proportional to the turtle length.
\n\nResearch from the National Marine Fisheries Service has shown that \nthese turtles use surface chlorophyll and temperature gradients to \ndetermine their migration habits. In this dataset, the turtles \ngenerally remain in a narrow temperature band and move north and south \nseasonally with that temperature band. Also, the eastern region of the \nKuroshio Extension Current near Japan represents an important \nmid-oceanic foraging hotspot, where many of the turtles in the dataset \ncan be viewed.
", "startTime": "2006-01-01T00:00:00", "endTime": "2006-12-31T00:00:00", "period": "P1D", "dataLink": "https://vimeo.com/342117949", "format": "video/mp4", "fileSequenceStart": "1", "fileSequenceIncrement": 1, "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=181", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/oceans/LoggerheadSeaTurtleTracks/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/oceans/LoggerheadSeaTurtleTracks/tour.json", "isHidden": false, "weight": 10, "tags": [ "Water" ] }, { "id": "INTERNAL_SOS_265_VIDEO", "localizationID": "INTERNAL_SOS_265_VIDEO", "organization": "", "title": "Sun: X-Ray - 2003", "abstractTxt": "\n", "startTime": "", "endTime": "", "boundingVariables": { "n": "90", "s": "-90", "w": "-180", "e": "180" }, "format": "video/mp4", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=265", "dataLink": "https://vimeo.com/342114825", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/astronomy/xray_sun/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/astronomy/xray_sun/tour.json", "legendLink": "", "weight": 10, "isHidden": false, "tags": [ "Space" ], "kmlIconScaleFactor": 1, "kmlPopupBrowserWidthPct": 25, "kmlPopupBrowserHeightPct": 25, "kmlOverrideIconFilename": "", "celestialBody": "Sun", "radiusMi": 432170, "isFlippedInY": false, "showKmlScreenOverlays": false, "lonOrigin": -180, "fileSequenceStart": 0, "fileSequenceIncrement": 1 }, { "id": "INTERNAL_SOS_379_VIDEO", "localizationID": "INTERNAL_SOS_379_VIDEO", "organization": "ACE Satellite, Ovation model", "title": "Aurora", "abstractTxt": "Galileo first used the term to describe the light. Aurora is the Roman goddess of dawn.
\r\nThe Greek name for the north wind (Boreas). In the southern hemisphere it is called Aurora Australis.
\r\nThe light in the upper atmosphere is caused by energetic electrons zipping down the magnetic field lines of Earth and colliding with the atoms and molecules of the atmosphere (primarily O and N2). When the electrons collide with the atmosphere, they transfer momentum energy into excited states of the atom or molecule. When the atoms and molecules relax back to their ground state they release photons that we can see.
\r\nThe most common color is a pale yellowish green. This color occurs at a very specific wavelength (557.7 nm). It is produced by atomic oxygen. Another common color, is a red glow at 630.0 nm, which is also produced by oxygen. Sometimes the lower edges of aurora rays can be a bluish purple (427.8 nm) from molecular nitrogen. And if you see aurora near sunrise or sunset, the sunlight hits the tops of the auroral rays and ionizes the excited nitrogen to create a purple color. There are many other colors in the aurora but they are either too dim to see with the naked eye or they are outside the visible spectrum, either in the infrared or ultraviolet (where the human eye can't see them).
\r\nThe process of accelerating electrons into the atmosphere starts at the sun. When the sun is active (near solar maximum), it can eject large blobs of plasma called Coronal Mass Ejections (CMEs). A CME is a billion tons of material traveling at up to 2000 km/sec (or 4.5 million miles/hour). If the CME is directed toward Earth, it will take one to three days for it to travel the 150 million km (96 million miles) from sun to Earth. When it reaches Earth, the magnetic field of Earth deflects much of the CME around Earth but some of the more energetic particles can enter the Earth's magnetic field or Magnetosphere. Even though much of the mass is deflected around Earth, the impact can jar the magnetosphere and shake it up, causing it to change configuration. All of this shaking and reconfiguring can accelerate electrons that are normally trapped within the magnetosphere. The accelerated electrons are still confined to follow the magnetic field lines of Earth but now they travel down the field line and collide with the atmosphere. Early scientists made the connection between an increase in sunspots (active regions on the sun) and an increase in the intensity and frequency of the aurora.
\r\n\tDuring solar minimum, when CMEs are less likely, it is still possible to have a strong aurora. A feature on the sun called a coronal hole is associated with strong background solar wind. Normally the solar wind flows about 300-500 km/sec but from a coronal hole, the solar wind can flow to 800 km/sec. This increase in solar wind speed can also cause the magnetosphere to reconfigure, the electrons to get accelerated, and aurora to form. These auroral displays are less dramatic than those associated with CMEs but they can still be quite spectacular if you are in the right place at the right time.
\r\nWhen CMEs hit the magnetosphere or when strong solar wind from a coronal hole shakes the magnetosphere, it causes the magnetic field to change and reconfigure. Magnetic field lines can break and reconnect which can in turn accelerate electrons. All of these changes result in a change in the magnetic field of Earth. If you hold a magnetic compass very still during a strong geomagnetic storm, you might observe the needle to move around. One of the consequences of this is that migratory birds that use Earth's magnetic field to know where to fly, will lose their way. Pigeon racers know about this and will not let their pigeons fly during big geomagnetic storms.
\r\nGeomagnetic storms are ranked on a scale of 0 to 9 with 9 being the largest. This is called the planetary K index or Kp. During a typical 11 year solar cycle there might be two to four geomagnetic storms that reach Kp = 9.
\r\nBecause the aurora is trapped on the magnetic field lines, it is most often seen near the north and south poles of Earth. Because of the structure of the magnetosphere, and the primary acceleration processes in the tail part of the magnetosphere (away from the sun), aurora form a ring or oval around each of the poles of Earth and are brightest and most dramatic near midnight. The auroral ovals are not centered on the geographic pole but are centered on the magnetic pole of Earth. On nights where there is little geomagnetic activity and the aurora is quiet, it stays further poleward. But when activity picks up, it becomes brighter and the auroral oval expands towards the equator. During very large events, it is possible to see the aurora in the continental US.
\r\nIt should be noted that the aurora is symmetric and auroral features in the northern hemisphere are mirrored in the southern hemisphere.
\r\nHere are several suggestions on what to consider when looking for aurora. First it must be dark. Traveling to the polar regions in the summer won't work because the sun is up 24 hours a day. Second, it must be clear. Often coastal regions are cloudy, so going someplace away from the oceans improves probabilities of seeing aurora. Third, it is good to get away from other sources of light such as cities, streetlights, and even the full moon. Fourth, you should stay up and watch for aurora between 10 PM and 1 AM local time. That is when the aurora is the brightest and most active. And finally, it is good to have some geomagnetic activity. The aurora is visible somewhere on Earth nearly all the time. But it is usually just a few faint arcs that do not move or change very much. Geomagnetic activity will cause the aurora to get brighter, to move further towards the equator, and to become more active.
\r\nYou can see the aurora from space. The astronauts on the International Space Station see the aurora all the time and actually fly through the aurora on occasion. There is also aurora on other planets. Jupiter and Saturn have regular auroral displays.
\r\nImage Caption
Second Line
This SOS sequence is layered over the Earth at Night dataset and shows the output from the OVATION Prime model of the aurora. It represents the approximate location and intensity of the aurora over a 24 hour period. Each frame is five minutes. This sequence captures a moderate sized geomagnetic storm (reaching 7 on a scale of 0 to 9). The OVATION Prime model uses the speed of the solar wind and the interplanetary magnetic field. The solar wind takes 20 to 50 minutes to travel from the L1 point to Earth, where it is observed, so this model provides a forecast of the aurora with 20-50 minute lead time. This model was developed by P.Newell at the Johns Hopkins Applied Physics Lab. It is being run in real time at the National Geophysical Data Center (NGDC) and the displays and web page are produced by the Space Weather Prediction Center. You can see this model in realtime at helios.swpc.noaa.gov/ovation.
\r\nAs this sequence plays there are several things to notice. 1) the aurora is usually brightest near midnight. 2) The auroral oval extends into the dayside part of Earth but you cannot see the aurora during the day. As the auroral activity picks up, the auroral oval expands equatorward. 3). The auroral oval is centered on the geomagnetic pole, not the geographic pole.
\r\n", "startTime": "2012-09-30T12:00:00", "endTime": "2012-10-01T11:35:00", "period": "PT5M", "dataLink": "https://vimeo.com/342111335", "format": "video/mp4", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=379", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/astronomy/aurora/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/astronomy/aurora/tour.json", "isHidden": false, "weight": 10, "tags": [ "Space" ] }, { "id": "INTERNAL_SOS_207_VIDEO", "localizationID": "INTERNAL_SOS_207_VIDEO", "organization": "NOAA Geophysical Fluid Dynamics Laboratory ", "title": "Climate Model: Sea Ice Change (GFDL a1b) 1861 - 2100", "abstractTxt": "In the coming decades, the Arctic region is projected to warm at about twice the rate of the global average according to the scientists at NOAA's Geophysical Fluid \nDynamics Laboratory. This is not good news for the Arctic sea ice. In fact, the concentration of sea ice in the northern latitudes has been decreasing over the past \n30 years and this trend is expected to continue as the climate changes. The disappearance of sea ice can have a major impact globally. Melting sea ice can disturb \nthe global ocean conveyor belt, impact sea life and the fishing industry, and change the Earth energy budget. Sea ice cools the climate because it is reflective and \nso returns much of the sun's warming back to space. As the ice melts, more of this energy is absorbed in the darker ocean water. The temperature increases as more \nsunlight is absorbed rather than reflected. This is a positive feedback loop because as temperature rises, more sea ice melts causing increased absorption which \nleads to rising temperatures.
\n![\n\"Image](\"/images/colorbar/gfdl_black_colorbar.jpg\")
In order to better understand how the climate is changing and the extent of the impact on the Arctic sea ice, scientists create models designed to simulate what \nhas happened and what is likely to happen in the future. The model output for this dataset comes from GFDL's CM2.1 coupled model. The simulation of past years takes \ninto account the historical record of greenhouse gases, volcanic aerosols, black and organic carbon aerosols, sulfate aerosols, ozone, solar irradiance, and land \nsurface changes. For the future, they use the SRES A1B scenario from the Intergovernmental Panel on Climate Change, which assumes a mid-level increase in 21st century \ngreenhouse gas levels. This simulation shows the change in the average sea ice concentration for August, September, and October. The sea ice in the Arctic is at a \nminimum during these months. Rather than steadily decline, the sea ice is projected to go through periods of small and large changes. In fact, it is thought that \nthe melting of the sea ice could accelerate through the 21st century, with very little summer sea ice remaining by the year 2100.
\n\nFor more information go to the \nGFDL Research Highlight
", "startTime": "1861-01-01T00:00:00", "endTime": "2100-01-01T00:00:00", "period": "P45D15H", "dataLink": "https://vimeo.com/342107273", "format": "video/mp4", "fileSequenceStart": "1", "fileSequenceIncrement": 1, "probingInfo": { "units": "%", "minVal": 0, "maxVal": 100, "minPos": { "x": 1, "y": 0, "XUnits": "Pixels", "YUnits": "Pixels" }, "maxPos": { "x": 3, "y": 644, "XUnits": "Pixels", "YUnits": "Pixels" } }, "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/models/gfdl_seaice/colorbar.png", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=207", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/models/gfdl_seaice/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/models/gfdl_seaice/tour.json", "colorTableLink": "https://d3sik7mbbzunjo.cloudfront.net/models/gfdl_seaice/colortable.png", "isHidden": false, "weight": 10, "tags": [ "Snow and Ice" ] }, { "id": "INTERNAL_SOS_307_VIDEO", "localizationID": "INTERNAL_SOS_307_VIDEO", "organization": "GlEaMViz Project", "title": "Flu Virus Model: H1N1 - 2009", "abstractTxt": "The Epidemic Planet visualization was developed within the context of the GLEaMviz project and displays the evolution of the 2009 H1N1 influenza pandemic and enables its users to learn about the epidemic spreading on the global scale as simulated here, using GLEaM, the GLobal Epidemic and Mobility modeler.
\nGLEaM is a computer model that takes into account human populations connected through a network of interactions by human travel fluxes corresponding to transportation infrastructures and mobility patterns. The GLEaM simulation engine includes detailed population information and a multiscale mobility model integrating different layers of transportation networks ranging from the long range airline connections (accounting for more than 99% commercial traffic worldwide) to the short range daily commuting patterns (from the statistical analysis of census data from over countries in 6 different continents).
\n![\"colorbar\"](\"/images/colorbar/epidemic_colorbar.png\")
Estimated Number of Cases of H1N1
This visualization illustrates the spread of the H1N1 influenza pandemic based on a detailed simulation performed using GLEaM that was able to predict the course of the pandemic several weeks in advance (BMC Medicine 7, 45 (2009)) and served as a way for researchers to evaluate the potential impact of several intervention measures. Starting from the first reported cases in La Puebla, Mexico on Feb 18, 2009, the course of the pandemic is followed as it spreads around the world. As passengers travel from an infected to an uninfected city, an edge is drawn connecting them so that we may follow the path taken by the virus. \nAs new cases are generated from this passengers arrival, the city and its surrounding gradually changes color indicating the estimated number of cases, corresponding to the colorbar.
\nFor more information on GLEaM and the GLEaMViz project, please visit www.gleamviz.org
\n", "startTime": "2009-02-18T00:00:00", "endTime": "2010-02-18T00:00:00", "period": "P1D", "dataLink": "https://vimeo.com/344895429", "format": "video/mp4", "fileSequenceStart": "0", "fileSequenceIncrement": 1, "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/epidemic/colorbar.png", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=307", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/epidemic/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/extras/epidemic/tour.json", "isHidden": false, "weight": 10, "tags": [ "People" ] }, { "id": "INTERNAL_SOS_125_VIDEO", "localizationID": "INTERNAL_SOS_125_VIDEO", "organization": "NASA", "title": "Groundwater Storage: Ice and Aquifers ", "abstractTxt": "NASA launched the Gravity Recovery And Climate Experiment (GRACE) in 2002 to obtain high-resolution, global measurements of Earth's gravity field from space. Since that time, GRACE continues to reveal increasingly subtle changes in Earth's gravity field. These gravity variations reflect changes in the distribution of Earth's mass, including changes in groundwater and other forms of water stored on and in the land, changes in ice mass in Greenland and Antarctica, ocean mass changes, and even changes caused by large earthquakes. GRACE data are substantially improving our knowledge of important aspects of global change, including the climate consequences of a warming world. \n
\n\nThese images show monthly changes in Earth's gravity field as measured by GRACE. The changes in gravity acceleration are expressed in cm of water equivalent, that is the thickness of a thin layer of water, covering the Earth's surface, that would have produced the corresponding change in gravity acceleration. As GRACE's twin satellites pass over features on Earth, the distance between the satellites changes in response to the mass of these features. Extremely sensitive instruments on GRACE can measure changes in the distance between the twin satellites to an accuracy of 1 micrometer (one-millionth of a meter), which is 20 to 100 times smaller than the width of a human hair. As GRACE orbits, it provides data for scientists to construct a new map of Earth's gravity field every month. There are two versions of GRACE for Science On a Sphere. This one is from the NASA Goddard Space Flight Center and runs from August 2002 through March 2009 and the second GRACE by JPL is from the NASA Jet Propulsion Laboratory and runs from January 2003 through May 2008. \n
\n![\"JPL](\"/images/colorbar/gsfc_grace.png\")
Grace is a collaborative endeavor involving the Center for Space Research at the University of Texas, Austin; NASA's Jet Propulsion Laboratory, Pasadena, Calif.; the German Space Agency and Germany's National Research Center for Geosciences, Potsdam.\n
\n", "startTime": "2002-08-01T00:00:00", "endTime": "2009-03-30T00:00:00", "period": "PT12H37M48S", "dataLink": "https://vimeo.com/342089317", "format": "video/mp4", "fileSequenceStart": "1", "fileSequenceIncrement": 1, "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/land/grace/gsfc/colorbar.png", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=125", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/land/grace/gsfc/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/land/grace/gsfc/tour.json", "isHidden": false, "weight": 10, "tags": [ "Land", "Water" ] }, { "id": "INTERNAL_SOS_366_VIDEO", "localizationID": "INTERNAL_SOS_366_VIDEO", "organization": " Vaisala GLD360", "title": "Lightning Detection - Jun 2011 - Aug 2012", "abstractTxt": "The Global Lightning Dataset GLD360 network detects between 1 and 3 million lightning events around the world every day of the year. Lightning activity is not uniformly distributed across the globe. About ten times as many flashes occur over land than over the oceans, and the majority of global lightning is concentrated in the tropics. Over the course of a year, highest flash rate regions follow the inclination of the sun. The northern hemisphere sees more activity during June through August; the southern hemisphere has higher flash rates in January through March. These seasonal patterns can be clearly seen in these images, which show the total number of events detected in each month per square kilometer. The color scale ranges from less than .01 lightning pulses per square kilometer in the corresponding month to over 20 pulses per square kilometer. Each color range corresponds to a factor of two of increase in the number of events. This dataset runs from June 2011 through August 2012.
\nGlobal lightning detection is monitored as lightning discharges generate broadband radio pulses that contain a peak component in the Very Low Frequency (VLF; 3-30 kHz) range, which are reflected off of the ground and the conductive region of the upper atmosphere called the ionosphere. GLD360 is a global, real-time long range lightning detection and location network that measures these VLF radio pulses at multiple sensors placed in strategic locations around the globe. The GLD360 network is maintained by Vaisala
", "startTime": "2011-06-01T00:00:00", "endTime": "2012-08-01T00:00:00", "period": "P1M", "dataLink": "https://vimeo.com/344667494", "format": "video/mp4", "probingInfo": { "units": "number of events in month / km2", "minVal": 0, "maxVal": 0, "minPos": { "x": 0, "y": 0, "XUnits": "Pixels", "YUnits": "Pixels" }, "maxPos": { "x": 0, "y": 0, "XUnits": "Pixels", "YUnits": "Pixels" } }, "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/atmosphere/ltg_vaisala/colorbar.png", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=366", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/atmosphere/ltg_vaisala/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/atmosphere/ltg_vaisala/tour.json", "isHidden": false, "weight": 10, "tags": [ "Air" ] }, { "organization": "", "id": "INTERNAL_SOS_504_VIDEO", "localizationID": "INTERNAL_SOS_504_VIDEO", "title": "Fossil Fuel: CO2 Release - 2011 - 2012", "abstractTxt": "\n", "startTime": "2011-01-01T12:00:00", "endTime": "2012-12-31T12:00:00", "boundingVariables": { "n": "90", "s": "-90", "w": "-180", "e": "180" }, "format": "video/mp4", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=504", "dataLink": "https://vimeo.com/342072305", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/atmosphere/fossil_fuel/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/atmosphere/fossil_fuel/tour.json", "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/atmosphere/fossil_fuel/colorbar.png", "weight": 10, "isHidden": false, "tags": [ "People", "Air" ], "kmlIconScaleFactor": 1, "kmlPopupBrowserWidthPct": 25, "kmlPopupBrowserHeightPct": 25, "isFlippedInY": false, "showKmlScreenOverlays": false, "lonOrigin": -180, "fileSequenceStart": 1, "fileSequenceIncrement": 1, "period": "P1D" }, { "localizationID": "INTERNAL_SOS_HAZARDS_TOUR", "id": "INTERNAL_SOS_HAZARDS_TOUR", "organization": "NOAA Advanced Techonology and Outreach", "title": "Tour - Introduction to Hazards", "abstractTxt": "", "boundingVariables": { "n": "90", "s": "-90", "w": "-180", "e": "180" }, "format": "tour/json", "dataLink": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/heart/tour.json", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/heart/tour.json", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/heart/thumbnail_small.jpg", "weight": 10, "isHidden": true, "tags": [ "Tours" ] }, { "id": "INTERNAL_SOS_420_VIDEO", "localizationID": "INTERNAL_SOS_420_VIDEO", "organization": "NOAA Advanced Technology and Outreach", "title": "Temperature Anomaly: Yearly (NOAA) - 1850 - Present", "abstractTxt": "", "startTime": "1850-01-01T00:00:00", "endTime": "2024-12-01T00:00:00", "period": "P1Y", "dataLink": "https://vimeo.com/1107915944", "format": "video/mp4", "websiteLink": "", "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/atmosphere/temp_anom/colorbar.png", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/atmosphere/temp_anom/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/atmosphere/temp_anom/tour.json", "probingInfo": { "units": "C", "minVal": -3, "maxVal": 3, "minPos": { "x": 27, "y": 54, "XUnits": "Pixels", "YUnits": "Pixels" }, "maxPos": { "x": 447, "y": 54, "XUnits": "Pixels", "YUnits": "Pixels" } }, "isHidden": false, "weight": 10, "tags": [ "Air" ] }, { "id": "INTERNAL_SOS_158_VIDEO", "localizationID": "INTERNAL_SOS_158_VIDEO", "organization": "NOAA Center for Tsunami Research", "title": "Japan Tsunami: Wave Propagation - March 11, 2011", "abstractTxt": "On March 11, 2011 at 2:45 p.m. local time, a 9.0 magnitude earthquake occurred 81 miles (130 km) off the east coast of Sendai, Honshu, Japan, triggering a massive tsunami. A tsunami is a series of ocean waves generated by sudden displacements in the sea floor, landslides, or volcanic activity. In the deep ocean, the tsunami wave may only be a few inches high. The tsunami wave may come gently ashore or may increase in height to become a fast moving wall of turbulent water several meters high. Forecasted wave heights in Japan were up to 66 ft (20 m) and there were many reports of tsunami waves three stories high in parts of Japan. Across the Pacific Ocean, many countries issued evacuations along the coasts because of the predicted tsunami waves. Propagation of the tsunami was computed with the NOAA forecast method using the MOST (Method of Splitting Tsunami) model with the tsunami source inferred from DART. Approximately 25 minutes after the earthquake, the tsunami was first recorded by one of the DART buoys.
\r\nThe NOAA Center for Tsunami Research, located at NOAA PMEL in Seattle, WA runs the MOST model and produced this dataset. The main objective of the forecast model is to provide an estimate of wave arrival time, wave height and inundation area immediately after a tsunami event. Tsunami forecast models are run in real time while a tsunami is propagating in the open ocean, consequently they are designed to perform under very stringent time limitations. In addition to the forecasted 66 ft wave heights, the model also shows over 130 ft (40 m) of runup, which is the highest topographic elevation that the tsunami reaches. Observations have confirmed the runup height of 130 ft in parts of Japan. As the tsunami radiated out from Japan, it encountered the complex topography and bathymetry of sea floor, causing the wave to scatter and reflect. After 8 hours, the tsunami hit Hawaii and after 9.5 hours, the tsunami made landfall on the west coast of the United States. At the 16 hour mark, the tsunami wave entered the Indian Ocean and at the 22 hour mark, the wave had propagated throughout the entire Pacific Ocean and was an incredibly complex wave due to the varied topography and bathymetry of the sea floor. The yellow dots mark the locations of the DART buoys. The final frames of this dataset show the maximum wave amplitude and the arrival time of the tsunami wave.
\r\nA second version of this dataset combines the Wave Propagation model with the other Japan Tsunami datasets that are available here. It starts by showing the earthquake activity leading up to the tsunami, then shows the tsunami wave propagation combined with earthquake activity and then ends with a map of maximum wave heights.
", "startTime": "2011-03-11T05:46:00", "endTime": "2011-03-13T05:43:00", "period": "PT5M6S", "dataLink": "https://vimeo.com/331111053", "format": "video/mp4", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=158", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/oceans/japan_tsunami_waves/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/oceans/japan_tsunami_waves/tour.json", "isHidden": false, "weight": 10, "tags": [ "Water" ] }, { "id": "INTERNAL_SOS_URBAN_HEAT_ISLAND", "localizationID": "INTERNAL_SOS_URBAN_HEAT_ISLAND", "organization": "NOAA Advanced Technology and Outreach", "title": "ClimateBits: Urban Heat Islands", "abstractTxt": "", "startTime": "", "endTime": "", "dataLink": "https://vimeo.com/326363700", "format": "video/mp4", "websiteLink": "", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/urban_heat_islands/thumbnail_small.jpg", "closedCaptionLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/urban_heat_islands/urban_heat_islands.en_US.srt", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/extras/urban_heat_islands/tour.json", "isHidden": false, "weight": 10, "tags": [ "Air", "Land", "Movies" ] }, { "id": "INTERNAL_SOS_700", "localizationID": "INTERNAL_SOS_700", "organization": "Early Morning Opera", "title": "HOLOSCENES / Little Boxes (movie)", "abstractTxt": "", "startTime": "", "endTime": "", "dataLink": "https://vimeo.com/336639533", "format": "video/mp4", "websiteLink": "", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/little_boxes/thumbnail_small.jpg", "closedCaptionLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/little_boxes/little_boxes.en_US.srt", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/extras/little_boxes/tour.json", "isHidden": false, "weight": 10, "tags": [ "Air", "Movies" ] }, { "id": "INTERNAL_SOS_PRECIP_TORNADO", "localizationID": "INTERNAL_SOS_PRECIP_TORNADO", "organization": "NOAA Advanced Technology and Outreach", "title": "Precipitation: Tornado Outbreak - March 2019", "abstractTxt": "", "startTime": "2019-03-02T08:30:00", "endTime": "2019-03-05T12:30:00", "period": "PT30M", "dataLink": "https://vimeo.com/348469768", "format": "video/mp4", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=586", "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/atmosphere/precip_tornado/precip_bar.png", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/atmosphere/precip_tornado/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/atmosphere/precip_tornado/tour.json", "isHidden": true, "weight": 10, "tags": [ "Air" ] }, { "id": "INTERNAL_SOS_MAJOR_FLOODS", "localizationID": "INTERNAL_SOS_MAJOR_FLOODS", "organization": "NASA/Columbia University Socioeconomic Data and Applications Center", "title": "Floods with Rivers - 2000 - 2009 ", "abstractTxt": "", "startTime": "", "endTime": "", "boundingVariables": { "n": "90", "s": "-90", "w": "-180", "e": "180" }, "format": "image/jpg", "websiteLink": "", "dataLink": "https://d3sik7mbbzunjo.cloudfront.net/land/major_floods/floods_rivers.jpg", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/land/major_floods/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/land/major_floods/tour.json", "legendLink": "", "weight": 10, "isHidden": false, "tags": [ "Land" ] }, { "id": "INTERNAL_SOS_LAND_TEMP_2020", "localizationID": "INTERNAL_SOS_LAND_TEMP_2020", "organization": "NOAA Advanced Technology and Outreach", "title": "Land Surface Temperature - 1/2020 - 12/2020", "abstractTxt": "", "startTime": "2020-01-01T12:00:00", "endTime": "2020-12-31T12:00:00", "period": "P1D", "dataLink": "https://vimeo.com/497726276", "format": "video/mp4", "websiteLink": "", "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/land/land_temp_2020/colorbar.png", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/land/land_temp_2020/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/land/land_temp_2020/tour.json", "isHidden": true, "weight": 10, "tags": [ "Land" ] }, { "id": "INTERNAL_SOS_GOES_MERGED", "localizationID": "INTERNAL_SOS_GOES_MERGED", "organization": "NOAA Advanced Technology and Outreach", "title": "Earth in True Color - GOES GeoColor", "abstractTxt": "", "startTime": "2020-09-09T13:30:00", "endTime": "2020-09-16T18:50:00", "period": "PT15M", "dataLink": "https://vimeo.com/461515672", "format": "video/mp4", "websiteLink": "", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/atmosphere/goes_merged/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/atmosphere/goes_merged/tour.json", "isHidden": false, "weight": 10, "tags": [ "Air" ] }, { "id": "INTERNAL_SOS_YEARLY_FIRE", "localizationID": "INTERNAL_SOS_YEARLY_FIRE", "organization": "NOAA Advanced Technology and Outreach", "title": "Fires: Annual Cumulative - 2003-2018", "abstractTxt": "", "startTime": "2003-12-31T12:00:00", "endTime": "2018-12-15T12:00:00", "period": "P1Y", "dataLink": "https://vimeo.com/346972845", "format": "video/mp4", "websiteLink": "", "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/land/fire_03-18/yearly_fires.png", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/land/fire_03-18/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/land/fire_03-18/tour.json", "isHidden": true, "weight": 10, "tags": [ "Land" ] }, { "id": "INTERNAL_SOS_CO_FLOOD", "localizationID": "INTERNAL_SOS_CO_FLOOD", "organization": "NOAA Advanced Technology and Outreach", "title": "Clouds: Colorado Flood - Sept. 2013", "abstractTxt": "", "startTime": "2013-09-06T02:00:00", "endTime": "2013-09-16T23:45:00", "period": "PT15M", "dataLink": "https://vimeo.com/325750437", "format": "video/mp4", "websiteLink": "", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/atmosphere/co_flood/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/atmosphere/co_flood/tour.json", "isHidden": true, "weight": 10, "tags": [ "Air" ] }, { "id": "INTERNAL_SOS_BOMB_CYCLONE", "localizationID": "INTERNAL_SOS_BOMB_CYCLONE", "organization": "NOAA Advanced Technology and Outreach", "title": "Clouds with Precipitation: Bomb Cyclone - March 2019", "abstractTxt": "", "startTime": "2019-03-12T10:30:00", "endTime": "2019-03-16T10:00:00", "period": "PT30M", "dataLink": "https://vimeo.com/348462508", "format": "video/mp4", "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/atmosphere/bomb_cyclone/precip_bar.png", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=586", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/atmosphere/bomb_cyclone/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/atmosphere/bomb_cyclone/tour.json", "isHidden": true, "weight": 10, "tags": [ "Air" ] }, { "id": "INTERNAL_SOS_25_VIDEO", "localizationID": "INTERNAL_SOS_25_VIDEO", "organization": "NOAA/ESRL GMD Carbon Cycle Greenhouse Gases group ", "title": "CarbonTracker: Fixed Scale CO2 - 2000 - 2015", "abstractTxt": "\"NOAA encourages science that adds benefit to society and the environment. CarbonTracker does both.\" said retired Navy Vice Admiral Conrad Lautenbacher, Ph.D., former undersecretary of commerce for oceans and atmosphere and NOAA administrator. CarbonTracker is a system to keep track of carbon dioxide uptake and release at the Earth's surface over time. It was developed by the Carbon Cycle Greenhouse Gases group at NOAA's Earth System Research Laboratory. As a scientific tool, CarbonTracker has helped improve the understanding of carbon uptake and release from the land and oceans, and how those sources and sinks are responding to the changing climate, increasing levels of atmospheric CO2 (the CO2 fertilization effect), and human management of land and oceans. CarbonTracker relies on the long-term monitoring of atmospheric CO2 performed by the NOAA Global Monitoring Division and international partners.
\r\n\r\nThis data set shows the distribution of carbon dioxide in the \"free troposphere\", which is the lower atmosphere below the tropopause, but above the surface-dominated planetary boundary layer. CO2 distributions are displayed for every day from 2000 through 2015. The large variations in CO2 seen here are caused by surface sources and sinks of CO2, coupled with transport of CO2 plumes by weather systems. The resulting patterns seen here are called \"carbon weather\".
\r\nThe data set also shows white dots at every location and time that NOAA ESRL and collaborators collect samples of air to analyze the contents for CO2 and multiple other gases. These are the locations for which we know the mixing ratios of CO2 exactly. The rest of the globe is filled in by a computer model driven by our best knowledge of the surface sources and sinks (fossil fuel and biomass burning emissions, land biosphere and ocean uptake or release) of CO2 that are across the globe. On the colorbar, a white line moves to depict the global average atmospheric CO2 concentration as it changes over time.
\r\nPlumes of CO2 can be seen moving across the globe, illustrating the importance of monitoring CO2 globally, not just locally. The large variations in CO2 concentration from season to season are due to the annual cycle of summertime green-up and autumn decay of land plants. During the winter season, plants and trees respire CO2 as they shed leaves and stop growing or decay, adding significant amounts of CO2 to the atmosphere. This process reverses during spring and summer, when plants have access to sufficient sunlight and grow leaves and flowers, or increase their size substantially and remove CO2 from the atmosphere. The summer green-up is quite visible in the movie: in July the northern hemisphere shows intense blue colors, especially over the mid-latitude regions where forests and crops take up CO2 vigorously. The large change in CO2 between the seasons caused by plant activity is sometimes referred to as the 'breathing' of the planet. In the tropics, intense red areas are visible especially during July, August and September. This is due to the burning of biomass. Some of this is natural, such as dry grasses on the savannas burning, but most of it is man-made as people burn fields to prepare them for another year of production, or burn forests to make way for new agricultural lands.
\r\n\r\nThis dataset is named \"fixed scale,\" because the colorbar does not change over time, it is fixed, which is best used to show the overall growth in atmospheric CO2 concentration over time. A similar dataset, CarbonTracker 2000 - 2015 Sliding Scale, shows change of atmospheric carbon dioxide concentration between 2000 - 2015 by adding a sliding scale legend, which is best used for visualizing CO2 being moved around the Earth by weather patterns.
\r\nBoth datasets have small white dots, which symbolize the observation sites where glass flask atmospheric samples are taken worldwide. The observation dots are a layer that can be toggled on or off using the layers tab.
\r\nFind out more about NOAA CarbonTracker.
\r\n", "startTime": "2000-01-01T00:00:00", "endTime": "2015-06-26T00:00:00", "period": "P1D", "dataLink": "https://vimeo.com/265824254", "format": "video/mp4", "lonOrigin": 180, "probingInfo": { "units": "ppm", "minVal": 360, "maxVal": 405, "minPos": { "x": 13, "y": 49, "XUnits": "Pixels", "YUnits": "Pixels" }, "maxPos": { "x": 483, "y": 49, "XUnits": "Pixels", "YUnits": "Pixels" } }, "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/atmosphere/carbontracker/colorbar.png", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=25", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/atmosphere/carbontracker/thumbnail_small.jpg", "colorTableLink": "https://d3sik7mbbzunjo.cloudfront.net/atmosphere/carbontracker/colorbar.png", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/atmosphere/carbontracker/tour.json", "isHidden": false, "weight": 10, "tags": [ "Air", "People" ] }, { "id": "INTERNAL_SOS_MARIA_360", "localizationID": "INTERNAL_SOS_MARIA_360", "organization": "NOAA Advanced Technology and Outreach", "title": "Hurricane Maria 360 Tour", "abstractTxt": "", "dataLink": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/maria/tour.json", "format": "tour/json", "websiteLink": "https://svs.gsfc.nasa.gov/13079", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/maria/thumbnail_small.jpg", "closedCaptionLink": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/maria/Maria360.en_US.srt", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/maria/tour.json", "isHidden": true, "weight": 10, "tags": [ "Air", "Water" ] }, { "title": "Layer - Additional Geographic Overlays", "organization": "Technology Outreach Branch", "id": "INTERNAL_OVERLAYS", "abstractTxt": "In the drop-down menu below select an overlay.", "boundingVariables": { "n": "90", "s": "-90", "w": "-180", "e": "180" }, "layers": [ { "title": "Atmospheric Circulation", "format": "image/png", "dataLink": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/overlays/atmospheric_circulation/atmospheric_circulation.png", "closeOpenUnrelatedDatasetsOnLoadFromSOSxSearchWin": false, "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/overlays/atmospheric_circulation/thumbnail_big.jpg" }, { "title": "Ocean Currents", "format": "image/png", "dataLink": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/overlays/ocean_currents/ocean_currents.png", "closeOpenUnrelatedDatasetsOnLoadFromSOSxSearchWin": false, "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/overlays/ocean_currents/thumbnail_big.jpg" }, { "title": "Ocean Names", "format": "image/png", "dataLink": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/overlays/ocean_names/4096_ocean_names.png", "closeOpenUnrelatedDatasetsOnLoadFromSOSxSearchWin": false, "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/overlays/ocean_names/thumbnail_big.jpg" }, { "title": "Plate Boundaries", "format": "image/png", "dataLink": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/overlays/plate_boundaries/4096_colored_plate_boundaries.png", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/overlays/plate_boundaries/plate_tectonics_thumb.png", "closeOpenUnrelatedDatasetsOnLoadFromSOSxSearchWin": false, "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/overlays/plate_boundaries/plate_boundaries_legend.png" }, { "title": "Plate Names", "format": "image/png", "dataLink": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/overlays/plate_names/4096_plate_names.png", "closeOpenUnrelatedDatasetsOnLoadFromSOSxSearchWin": false, "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/overlays/plate_names/thumbnail_big.jpg" }, { "title": "Rivers", "format": "image/png", "dataLink": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/overlays/rivers/4096_rivers.png", "closeOpenUnrelatedDatasetsOnLoadFromSOSxSearchWin": false, "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/overlays/rivers/thumbnail_big.jpg" }, { "title": "Roads", "format": "image/png", "dataLink": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/overlays/roads/4096_roads.png", "closeOpenUnrelatedDatasetsOnLoadFromSOSxSearchWin": false, "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/overlays/roads/thumbnail_big.jpg" } ], "websiteLink": "", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/overlays/thumbnail_big.jpg", "isHidden": true, "weight": 10, "allowMultipleLayersSimultaneously": true, "autoLoadFirstLayer": false, "tags": [ "Layers" ] }, { "organization": "USGS", "id": "INTERNAL_SOS_637", "title": "Layer - Earthquakes - Real-time", "boundingVariables": { "n": "90", "s": "-90", "w": "-180", "e": "180" }, "format": "application/vnd.google-earth.kml", "kmlIconScaleFactor": 3, "showKmlScreenOverlays": false, "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=637", "dataLink": "https://earthquake.usgs.gov/earthquakes/feed/v1.0/summary/1.0_week_age.kml", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/earthquakes-realtime/thumbnail_small.png", "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/earthquakes-realtime/kml_age_legend.png", "isHidden": false, "allowMultipleLayersSimultaneously": true, "closeOpenUnrelatedDatasetsOnLoadFromSOSxSearchWin": false, "autoLoadFirstLayer": false, "weight": 10, "tags": [ "Land", "Real-Time" ] }, { "id": "INTERNAL_SOS_482_VIDEO", "localizationID": "INTERNAL_SOS_482_VIDEO", "organization": "Institute on the Environment at the University of Minnesota", "title": "Acidifying Oceans: Oceans and Climate Change (movie)", "abstractTxt": "", "dataLink": "https://vimeo.com/286967649", "format": "video/mp4", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=482", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/acidifying-oceans/thumbnail_small.jpg", "closedCaptionLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/acidifying-oceans/acidifying_captions.srt", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/extras/acidifying-oceans/tour.json", "isHidden": false, "weight": 10, "tags": [ "Movies", "Water" ] }, { "organization": "NOAA ESRL GSD", "id": "INTERNAL_HRRR_SMOKE_SEPTEMBER_2017_VIDEO", "title": "HRRR-Smoke Summer 2017", "abstractTxt": "HRRR-Smoke Vertically Integrated Smoke Forecast based on fire detection from JPSS VIIRS\n\n", "startTime": "2017-09-08T06:00:00", "endTime": "2017-09-09T18:00:00", "period": "PT1H", "boundingVariables": { "n": "52.621", "s": "21.1381", "w": "-134.099", "e": "-60.9016" }, "format": "video/mp4", "websiteLink": "https://www.esrl.noaa.gov/gsd/learn/hotitems/2016/hrrr-smoke.html", "dataLink": "https://vimeo.com/289129383", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/hrrr-smoke/hrrr_smoke.png", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/hrrr-smoke/tour.json", "isHidden": true, "weight": 10, "tags": [ "Air" ] }, { "id": "INTERNAL_SOS_96", "localizationID": "INTERNAL_SOS_96", "organization": "", "title": "Nighttime Lights", "abstractTxt": "The data was recorded by the Defense Meteorological Satellite Program (DMSP), in the National Geophysical Data Center (NGDC). The Nighttime Lights of the World data set was complied from DMSP data spanning October 1994 - March 1995. This particular map shows only the lights generated from electricity. The oceans are shaded a very dark blue and the land is shaded a slightly lighter blue so that they can be distinguished. All of the lights are bright white. Areas of high economic prosperity and/or population are generally the areas that are well illuminated. Most of the coast lines are well highlighted, as it seems people like to live by the water. The Nile River in Africa is outlined by the lights that border it. In the United States, it is visible that the eastern half of the country is more densely populated than most other areas. Major highways can be identified by the lights along them.
", "dataLink": "https://d3sik7mbbzunjo.cloudfront.net/land/earth_night/2012/nightlights.jpg", "format": "image/jpg", "legendLink": "", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=96", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/land/earth_night/2012/thumbnail_big.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/land/earth_night/2012/tour.json", "isHidden": false, "weight": 10, "tags": [ "Land" ] }, { "id": "INTERNAL_SOS_168_VIDEO", "localizationID": "INTERNAL_SOS_168_VIDEO", "organization": "NASA Goddard Space Flight Center", "title": "Biosphere: Marine Chlorophyll Concentration and Land Vegetation", "abstractTxt": "", "startTime": "2020-01-01T00:00:00", "endTime": "2023-12-31T00:00:00", "period": "P1D", "dataLink": "https://vimeo.com/1107878096", "format": "video/mp4", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=168", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/oceans/seawifs/polar_holes/thumbnail_small.jpg", "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/oceans/seawifs/polar_holes/colorbar_en.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/oceans/seawifs/polar_holes/tour.json", "isHidden": false, "weight": 10, "tags": [ "Land", "Water" ] }, { "id": "INTERNAL_SOS_188_VIDEO", "organization": "National Snow and Ice Data Center", "title": "Sea Ice Extent: September Only - 1979 - Present", "abstractTxt": "", "startTime": "1979-09-30T00:00:00", "endTime": "2023-09-30T00:00:00", "dataLink": "https://vimeo.com/901993325", "format": "video/mp4", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=188", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/oceans/WeeklySeaIce/sept_seaice/thumbnail_big.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/oceans/WeeklySeaIce/sept_seaice/tour.json", "isHidden": true, "weight": 10, "tags": [ "Snow and Ice", "Water" ] }, { "id": "INTERNAL_SOS_407_VIDEO", "localizationID": "INTERNAL_SOS_407_VIDEO", "organization": "Suomi NPP - National Polar-orbiting Partnership", "title": "Vegetation: Seasonal Changes - Apr 2012 - Apr 2013", "abstractTxt": "Although 75% of the planet is a relatively unchanging ocean of blue, the remaining 25% of Earth's surface is a dynamic green. Data from the NASA/NOAA Suomi NPP satellite is able to show these subtle differences in greenness using the Visible-Infrared Imager/Radiometer Suite (VIIRS) instrument on board the satellite. This dataset highlights our ever-changing planet, using a highly detailed vegetation index data from the satellite, developed by scientists at NOAA.
\nThe darkest green areas are the lushest in vegetation and absorb the most visible sunlight, while the pale colors are sparse in vegetation cover either due to snow, drought, rock, or urban areas. VIIRS detects changes in the reflection of visible light, producing images that measure changes to vegetation over time. Satellite data from April 2012 to April 2013 was used to generate these animations and images.
\nThe VIIRS measures vegetation at four times the resolution compared to earlier satellite instruments, resulting in greater clarity and definition of the final imagery. This vegetation data will be incorporated into many NDVI-based products and services, including weather and environmental prediction models, and the U.S. Drought Monitor. Additionally, NOAA's vegetation data are used by other organizations and federal agencies, including the U.S. Department of Agriculture and U.S. Geological Survey for agricultural predictions and assessments.
\nFor more information, please visit the NOAA Visualization Laboratory website.", "startTime": "2012-04-01T00:00:00", "endTime": "2013-04-30T00:00:00", "period": "P1W", "dataLink": "https://vimeo.com/287270034", "format": "video/mp4", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=407", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/land/global_vegetation/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/land/global_vegetation/tour.json", "isHidden": false, "weight": 10, "tags": [ "Land" ] }, { "id": "INTERNAL_SOS_491_VIDEO", "localizationID": "INTERNAL_SOS_491_VIDEO", "organization": "Land: MODIS/Terra, SST: AMSR-E/Aqua, patch data: AIRS/Aqua", "title": "Surface Temperature", "abstractTxt": "
These maps combine high-resolution daytime surface temperatures derived from satellite observations for both land and sea and display them with a common color scale. Displaying these high-resolution data with a common color scale makes evident the large difference between surface heating on land versus the sea. It also shows the relatively small seasonal variation in sea surface temperature over the globe relative to land temperatures. The larger seasonal variation in average temperature of the northern hemisphere relative to the southern hemisphere, a result of the larger land area in the northern hemisphere, is also evident.
\r\nLand surface temperature data are from the MODIS sensor on NASA's Terra satellite while the sea surface temperatures (SST) are from the Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E) sensor on NASA's Aqua satellite. Both source datasets are monthly composite averages used to minimize holes in the daily data created by cloud cover. Despite the compositing, there are still holes in data coverage from cloud cover as well as gaps between land and sea data created by floating sea ice. These holes are filled by lower-resolution source data derived from the Atmospheric Infrared Sounder instrument (AIRS) instrument aboard the Aqua satellite.
\r\n\r\nData for this dataset is from:\r\n
Energy Planet provides viewers with a brisk overview of the energy challenges facing our planet and how renewable energy technologies can help meet them.
\n\nUsing data sets from NOAA, NASA and the U.S. Department of Energy's National Renewable Energy Laboratory, the movie provides an overview of the economic, security and climate challenges that fossil fuels create as the industrial world's dominant energy source. And it suggests how scientific research has expanded and accelerated the generation of electricity from solar and wind resources on a large scale, as well as vehicle fuels made from biological sources, in order to provide the world with more clean, sustainable energy.\n
\n\nEnergy Planet is a five minute, narrated animated movie that was produced for Science on a Sphere by the National Renewable Energy Laboratory in Golden, Colo. \n
\n\nLength of dataset: 5:10
", "dataLink": "https://vimeo.com/267903470", "format": "video/mp4", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=291", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/energy_planet/thumbnail_small.jpg", "closedCaptionLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/energy_planet/energy_planet_captions.srt", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/extras/energy_planet/tour.json", "isHidden": false, "weight": 10, "tags": [ "Movies", "People" ] }, { "id": "INTERNAL_SOS_5", "localizationID": "INTERNAL_SOS_5", "organization": "National Hurricane Center, Joint Typhoon Warning Center", "title": "Hurricane Tracks: Cumulative - 1950 - 2020", "abstractTxt": "Tracking historical hurricanes is an important way for hurricane \nresearchers to learn about the paths of future hurricanes. Because of \nthis, records of hurricane paths are archived and studied. Not all \nhurricanes follow the same path, but there are certainly noticeable \ntrends for hurricane paths. Many computer models that have been \ncreated to predict hurricane paths include the historical data in their models. \n
\n![\"fim](\"https://www.sos.noaa.gov/images/colorbar/hurricane_tracks_bar.jpg\")
\nThis dataset shows the paths of all tropical cyclones from 1950 through 2020. Circles represent tropical cyclones, squares represent subtropical cyclones and triangles represent extratropical cyclones. The colors indicate the maximum sustained wind speed with cool colors for slower speeds and warm colors for faster speeds, as indicated by the colorbar. The points are drawn at 6 hour intervals over the life of the storm. When mapped like this, definite patterns in cyclone paths are clear to see. For example, you can see that cyclones typically start near the equator and move away from it toward the poles and they don't cross the equator.
", "startTime": "1950-01-01T00:00:00", "endTime": "2020-12-31T00:00:00", "dataLink": "https://d3sik7mbbzunjo.cloudfront.net/atmosphere/hurricane_tracks/cumulative/2020/hurricane-tracks.png", "format": "image/png", "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/atmosphere/hurricane_tracks/cumulative/2020/color_bar.jpg", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=5", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/atmosphere/hurricane_tracks/cumulative/2020/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/atmosphere/hurricane_tracks/cumulative/2020/tour.json", "isHidden": false, "weight": 10, "tags": [ "Air", "Water" ] }, { "id": "INTERNAL_SOS_578_VIDEO", "localizationID": "INTERNAL_SOS_578_VIDEO", "organization": "MTSAT", "title": "Hurricane Sandy - 2012", "abstractTxt": "Hurricane Sandy was a memorable and disastrous storm that hit the Caribbean islands and the Mid-Atlantic States in October of 2012.It was the second costliest storm in U.S. history, after Hurricane Katrina.
\r\nOn October 22, 2012 a tropical wave formed into a Tropical Storm within six hours in the western Caribbean Sea and moved slowly towards the Greater Antilles. Intensifying into a Hurricane, Sandy made landfall first near Kingston, Jamaica on October 24th and after reaching Category 2 hurricane status struck Cuba the next day. After killing 70 people in Haiti, Dominican Republic, Puerto Rico, Cuba and the Bahamas, Hurricane Sandy pointed north and moved towards the East Coast of the United States. Sandy eventually moved ashore near Atlantic City, New Jersey and New York City on October 29th as a post-tropical cyclone with hurricane force winds. All said and done Superstorm Sandy (as it was termed after it joined a cold-core low pressure system moving eastward at the same time) affected an astounding total of 25 U.S. states. Most of the damage occurred in the Mid-Atlantic States. Sandy even caused the formation of an intense snowstorm in the high altitude regions of West Virginia.
\r\n\r\nThe Supreme Court, New York City Stock Exchange, Amtrak, and nearly all airports and railways near the East Coast were closed for two days; nearly 20,000 flights were canceled in all. The New York City Subway was still trying to repair the damage six weeks later. Total damage in the U.S. is estimated at over $63 billion.
\r\nIR Satellite images from GOES show clouds by measuring the infrared radiation emitted, which is directly proportional to the temperature. Bright white clouds are higher and colder whereas gray clouds are lower and warmer.\r\n", "startTime": "2012-10-22T00:00:00", "endTime": "2012-11-01T00:00:00", "period": "PT15M", "dataLink": "https://vimeo.com/287151848", "format": "video/mp4", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=578", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/atmosphere/sandy/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/atmosphere/sandy/tour.json", "isHidden": false, "weight": 10, "tags": [ "Air", "Water" ] }, { "id": "INTERNAL_SOS_671_VIDEO", "localizationID": "INTERNAL_SOS_671_VIDEO", "organization": "Inner Space Center", "title": "Exploring the Unknown Ocean", "abstractTxt": "", "dataLink": "https://vimeo.com/268067223", "format": "video/mp4", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=671", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/exploring_unknown_ocean/thumbnail_big.jpg", "closedCaptionLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/exploring_unknown_ocean/exploring_unknown_captions.srt", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/extras/exploring_unknown_ocean/tour.json", "isHidden": false, "weight": 10, "tags": [ "Water", "Movies", "People" ] }, { "id": "INTERNAL_HURRICANE_SEASON_2017_MOVIE", "localizationID": "INTERNAL_HURRICANE_SEASON_2017_MOVIE", "organization": "NOAA", "title": "Hurricane Season 2017", "abstractTxt": "hurricane season 2017", "startTime": "2017-07-07T00:00:00", "endTime": "2017-10-16T22:00:00", "dataLink": "https://vimeo.com/266138356", "format": "video/mp4", "websiteLink": "https://sos.noaa.gov/datasets/hurricane-season-2017/", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/atmosphere/hurricane_2017/thumbnail.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/atmosphere/hurricane_2017/tour.json", "isHidden": false, "weight": 10, "tags": [ "Air" ], "celestialBody": "" }, { "organization": "NASA/Columbia University Socioeconomic Data and Applications Center", "id": "INTERNAL_SOS_585", "title": "Human Transportation", "abstractTxt": "
This image of the Nighttime Lights has overlays showing the human footprint of global transportation on land, in the air, and by sea. The base map of this image shows nighttime lights visible from space, which indicates areas where people live, work, and consume energy. Red lines represent 87,000 daily flights connecting cities and cultures around the world. Blue lines represent the paths of 3500 commercial vessels over the course of a year, which is only 10% of the total ocean shipping traffic. Green lines represent the world's roads, used by over 1 billion motor vehicles. This colorful globe shows the interconnected nature of the world, but also how much energy we use to move people and goods around the planet's surface.
\n", "startTime": "", "endTime": "", "boundingVariables": { "n": "90", "s": "-90", "w": "-180", "e": "180" }, "format": "image/jpg", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=585", "dataLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/human_transportation/anthropocene.jpg", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/human_transportation/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/extras/human_transportation/tour.json", "legendLink": "", "weight": 10, "isHidden": false, "tags": [ "People" ], "kmlIconScaleFactor": 1, "isFlippedInY": false, "showKmlScreenOverlays": false, "lonOrigin": -180, "fileSequenceStart": 0, "fileSequenceIncrement": 0 }, { "organization": "NOAA Environmental Visualization Laboratory", "id": "INTERNAL_SOS_641_VIDEO", "localizationId": "INTERNAL_SOS_641_VIDEO", "title": "GOES-R - Today's Satellite for Tomorrow's Forecast (movie)", "abstractTxt": "GOES-R (now known as GOES-16) will provide continuous imagery and atmospheric measurements of Earth's Western Hemisphere, total lightning data, and space weather monitoring to provide critical atmospheric, hydrologic, oceanic, climatic, solar and space ", "startTime": "2016-01-01T12:00:00", "endTime": "2016-01-15T12:00:00", "boundingVariables": { "n": "90", "s": "-90", "w": "-180", "e": "180" }, "format": "video/mp4", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=641", "dataLink": "https://vimeo.com/265789087", "closedCaptionLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/goesr/goesr-captions.srt", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/goesr/thumbnail_big.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/extras/goesr/tour.json", "legendLink": "", "weight": "10", "isHidden": false, "tags": [ "Movies", "People" ], "kmlIconScaleFactor": 1, "isFlippedInY": false, "lonOrigin": -180, "fileSequenceStart": 0, "fileSequenceIncrement": 0 }, { "organization": "NOAA Pacific Tsunami Warning Center, USGS National Earthquake Information Center, NASA Blue Marble GEBCO", "id": "INTERNAL_SOS_643_VIDEO", "title": "Earthquakes - 2001-2015", "abstractTxt": "This animation shows every recorded earthquake in sequence as they occurred from January 1, 2001, through December 31, 2015, at a rate of 30 days per second. The earthquake hypocenters first appear as flashes then remain as colored circles before shrinking with time so as not to obscure subsequent earthquakes. The size of the circle represents the earthquake magnitude while the color represents its depth within the earth. At the end of the animation it will first show all quakes in this 15-year period. Next, it will show only those earthquakes greater than magnitude 6.5, the smallest earthquake size known to make a tsunami. Finally it will only show those earthquakes with magnitudes of magnitude 8.0 or larger, the \"great\" earthquakes most likely to pose a tsunami threat when they occur under the ocean or near a coastline and when they are shallow within the earth (less than 100 km or 60 mi. deep).", "startTime": "2001-01-01T12:00:00", "endTime": "2015-12-02T12:00:00", "period": "P1D", "boundingVariables": { "n": "90", "s": "-90", "w": "-180", "e": "180" }, "format": "video/mp4", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=643", "dataLink": "https://vimeo.com/347136734", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/land/earthquake_2001-2015/thumbnail_big.jpg", "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/land/earthquake_2001-2015/Earthquake_Legend.png", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/land/earthquake_2001-2015/tour.json", "weight": "10", "isHidden": false, "tags": [ "Land" ], "kmlIconScaleFactor": 1, "isFlippedInY": false, "lonOrigin": -180, "fileSequenceStart": 0, "fileSequenceIncrement": 0 }, { "organization": "", "id": "INTERNAL_SOS_640_VIDEO", "title": "Bird Migration Patterns - Western Hemisphere", "abstractTxt": "This dataset shows the migration of 118 species of terrestrial bird populations in the Western Hemisphere. Each dot represents the estimated location of the center of each species population for each day of the year. These estimations come from millions of observations from the eBird citizen-science database. eBird is a real-time, online checklist program, launched in 2002 by the Cornell Lab of Ornithology and National Audubon Society, that allows birdwatchers to enter their observations.", "startTime": "2015-01-01T12:00:00", "endTime": "2015-12-30T12:00:00", "period": "P1D", "boundingVariables": { "n": "90", "s": "-90", "w": "-180", "e": "180" }, "format": "video/mp4", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=640", "dataLink": "https://vimeo.com/266376800", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/land/birds/thumbnail_big.jpg", "legendLink": "", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/land/birds/tour.json", "weight": "10", "isHidden": false, "tags": [ "Land" ], "kmlIconScaleFactor": 1, "isFlippedInY": false, "lonOrigin": -180, "fileSequenceStart": 0, "fileSequenceIncrement": 0 }, { "id": "INTERNAL_SOS_630_VIDEO", "localizationID": "INTERNAL_SOS_630_VIDEO", "organization": " ECOO-2 Model - NASA Modeling, Analysis, and Prediction ", "title": "Phytoplankton Model", "abstractTxt": "Phytoplankton are the base of the marine food web and are crucial players in the Earth's carbon cycle. They are also incredibly diverse. This visualization shows dominant phytoplankton types from 1994-1998 generated by the Darwin Project using a high-resolution ocean and ecosystem model. The model contains flow fields from 1994-1999 (generated by the ECCO2 model), inorganic nutrients, 78 species of phytoplankton, zooplankton, as well as particulate and dissolved organic matter. Colors represent the most dominant type of phytoplankton at a given location based on their size and ability to uptake nutrients. Red represents diatoms (big phytoplankton, which need silica), yellow represents flagellates (other big phytoplankton), green represents prochlorococcus (small phytoplankton that cannot use nitrate), and cyan represents synechococcus (other small phytoplankton). Opacity indicates concentration of the phytoplankton as carbon biomass.
\r\n\r\nThe large phytoplankton (red, yellow) have fastest growth rates and\r\ndominate where there are lots of nutrients to nourish them at high latitudes and near the equator where nutrient-rich water upwell\r\nfrom the deep ocean. On the other hand, the small phytoplankton (green,\r\nblue) are more competitive where nutrients are very low.
\r\n\r\nA key part of the Darwin Project is developing theoretical and numerical models of the marine ecosystems. The data shown here are from a simulation of the Darwin model in a physical run of the Massachusetts Institute of Technology (MIT) general circulation model by the Estimating the Circulation and Climate of the Ocean (ECCO) group. The model provides a laboratory to explore the controls on biodiversity and the biogeography of different phytoplankton species. In particular, the role of the swirls and filaments (mesoscale features) appear important in maintaining high biodiversity in the ocean.
\r\n\r\nA key part of the Darwin Project is developing theoretical and numerical models of the marine ecosystems. The data shown here are from a simulation of the Darwin model in a physical run of the Massachusetts Institute of Technology general circulation model by the Estimating the Circulation and Climate of the Ocean (ECCO) group. The model provides a laboratory to explore the controls on biodiversity and the biogeography of different phytoplankton species. In particular, the role of the swirls and filaments (mesoscale features) appear important in maintaining high biodiversity in the ocean.
", "startTime": "1994-01-01T00:00:00", "endTime": "1999-12-31T00:00:00", "period": "P1D", "dataLink": "https://vimeo.com/266357693", "format": "video/mp4", "fileSequenceStart": 0, "fileSequenceIncrement": 0, "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/oceans/phytoplankton/colorbar.png", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/oceans/phytoplankton/tour.json", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=630", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/oceans/phytoplankton/thumbnail_small.jpg", "isHidden": false, "weight": 10, "tags": [ "Water" ] }, { "title": "Jupiter (movie)", "organization": "NASA", "id": "INTERNAL_SOS_355_VIDEO", "abstractTxt": "The fifth planet in the solar system, Jupiter is the first of the gas planets. It is the largest planet in the solar system with an impressive radius of 44,423 miles, more than 11 times that of Earth, and about one-tenth that of the sun. Because Jupiter is a gas planet, it does not have a solid surface, the gases simply become denser closer to the center, eventually turning into a liquid. Because this planet is not a solid, it easily distorts. In fact, Jupiter, which has the fastest rotation rate in the solar system, bulges at the equator and flattens at the poles due to its rapid rotation. The most notable feature is the Great Red Spot, a storm that has been observed for 300 years. Three Earth's could easily fit into the Great Red Spot.", "celestialBody": "Jupiter", "radiusMi": 43441, "boundingVariables": { "n": "90", "s": "-90", "w": "-180", "e": "180" }, "format": "video/mp4", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=355", "dataLink": "https://vimeo.com/266339303", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/astronomy/jupiter-movie/jupiter_thumbnail.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/astronomy/jupiter-movie/tour.json", "legendLink": "", "isHidden": false, "weight": 10, "tags": [ "Space" ] }, { "id": "INTERNAL_SOS_497_VIDEO", "localizationID": "INTERNAL_SOS_497_VIDEO", "organization": "Goddary Space Flight Center Solar Dynamics Observatory", "title": "Sun: Helium Wavelength (AIA 304)", "abstractTxt": "The sun is often most interesting to observe at Extreme Ultra-Violet (EUV) wavelengths rather than visible wavelengths. In the EUV, the sunspots and active regions are bright instead of dark and the solar magnetic field can be observed as loops around the active region. Solar physicists and space weather forecasters watch the sun with special EUV cameras mounted on satellites. One such satellite, the NASA Solar Dynamics Observatory (SDO), carries the Atmospheric Imaging Assembly which images the solar atmosphere in multiple EUV wavelengths. By imaging the sun at a resolution of about 1 arcsecond and at a cadence of 10 seconds, this instrument is designed to provide an unprecedented view of the part of the solar atmosphere called the corona. At this resolution, each AIA image contains 2048 x 2048 pixels or 17 Megapixels. The primary goal of the AIA Science Investigation is to use these data to significantly improve our understanding of the physics behind the activity displayed by the Sun's atmosphere, which drives space weather.
\r\nThis sequence shows the helium 30.4 nm channel which highlights the active network and filaments on the sun. Five days of data were collected from 5-9 September 2011 at a 2.5 minute cadence. These images were stretched and modified to create a more realistic display for the SOS format. It should be noted that the SDO imagers can only see one side of the sun so it is impossible to know what is going on around on the back side. In order to create a full 360 sequence of images, the central part of the sun, where the resolution is the best, was repeated three times to create the appearance of the full sun. You can see that the bright active region appears three times and there is a region where each image overlaps its neighbor creating a slight blurring of the image.
\r\nDuring this sequence, there are several things to look for. First, the active network of the sun is constantly boiling and churning. Then there are long dark thread-like features call filament channels. There are the bright active regions with complex magnetic loops that shift and change. And then throughout this sequence, there are a number of solar flares that erupt from the brightest active region. You have to watch carefully to see them. When the flare erupts, the magnetic loops around the flare rearrange and change. And a blast wave expands across the surface of the sun emanating from the flare.
\r\nSolar flares often initiate a sequence of events called Space Weather. The solar flare itself can impact radio communication at Earth. The flare can initiate a Coronal Mass Ejection (CME) which travels at several million km per hour and, if it hits Earth, can create a lot of problems for satellites, airlines, electric power lines, and GPS. The CME can create a geomagnetic storm that produces aurora.
\r\nThis sequence was created by undergraduate students in the NSF Research Experience for Undergraduates program in cooperation with NASA and the NOAA Space Weather Prediction Center.
\r\n", "startTime": "2011-09-05T00:00:00", "endTime": "2011-09-09T00:00:00", "period": "PT2M30S", "dataLink": "https://vimeo.com/266340559", "format": "video/mp4", "fileSequenceStart": 0, "fileSequenceIncrement": 0, "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=497", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/astronomy/sun304/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/astronomy/sun304/tour.json", "isHidden": false, "weight": 10, "tags": [ "Space" ], "celestialBody": "Sun", "radiusMi": 432170 }, { "id": "INTERNAL_SOS_369_VIDEO", "localizationID": "INTERNAL_SOS_369_VIDEO", "organization": "NASA GSFC", "title": "Atmospheric Chemistry: GEOS-5 Model", "abstractTxt": "Models create a dynamic portrait of the Earth through numerical experiments that simulate our current knowledge of the dynamical and physical processes governing weather and climate variability. The simulation visualized here captures how winds lift up aerosols from the Earth’s surface and transport them around the globe during the period September 1, 2006 to March 17, 2007. Such simulations allow scientists to identify the sources and pathways of these tiny particulates that influence weather and climate.
With a resolution of 10 kilometers per grid cell, the simulation represents a variety of features worldwide. Dust (red) blows over the Saharan desert and interacts with two Atlantic tropical cyclones. Sea salt (blue) churned up from the ocean by surface winds is most prevalent along mid-latitude storm tracks and fronts in the Southern Ocean and within tropical cyclones. Organic and black carbon (green) burst from extensive biomass burning in South America and Africa. Sulfate (white) arises from three primary sources: fossil fuel emissions over Asia, Europe, and the United States; a persistently active volcano in Mozambique, Africa; and a large eruption from the Karthala Volcano on Grande Comore Island, Comoros, in January 2007.
\nThe simulation used the Goddard Earth Observing System Model, Version 5 (GEOS-5) and the Goddard Chemistry Aerosol Radiation and Transport (GOCART) Model. It ran on 3,750 processors of the Discover supercomputer at the NASA Center for Climate Simulation.
\nGEOS-5 development is funded by NASA’s Modeling, Analysis, and Prediction Program.
", "startTime": "2006-08-17T00:00:00", "endTime": "2007-04-10T20:30:00", "period": "PT30M", "dataLink": "https://vimeo.com/266916052", "format": "video/mp4", "fileSequenceStart": 0, "fileSequenceIncrement": 0, "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/atmosphere/nccs_models/chem/geos-5-legend.jpg", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=369", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/atmosphere/nccs_models/chem/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/atmosphere/nccs_models/chem/tour.json", "isHidden": false, "weight": 10, "tags": [ "Air" ] }, { "id": "INTERNAL_SOS_613_VIDEO", "localizationID": "INTERNAL_SOS_613_VIDEO", "organization": "NOAA Pacific Tsunami Warning Center, USGS National Earthquake Information Center, NASA Blue Marble GEBCO", "title": "Tsunami Historical Series: Chile - 1960 ", "abstractTxt": "On May 22, 1960, at 3:11 pm (19:11 UTC) the largest earthquake ever recorded by instruments struck southern Chile with a magnitude we now know to be at least 9.5. This earthquake generated a tsunami that traveled through every ocean on earth, though large, dangerous waves only impacted the coastlines around the Pacific Ocean. Chile suffered the greatest impact, with tsunami waves reaching as high as 25 m or 82 ft., killing an estimated 2000 people there. Outside of Chile the tsunami was worst on the opposite side of the planet in Japan, where waves reached as high as 6.3 m or over 20 ft and killed 139 people. In between and halfway across the Pacific Ocean Hawaii suffered the second-worst tsunami in its recorded history--only the Aleutian Islands tsunami of 1946 was worse. It killed 61 people in the town of Hilo with waves reaching as high as 10.7 m or about 35 ft. and all Hawaiian Islands experienced waves well over 1 m or 3 ft. The Philippines also lost 21 people to waves recorded as high as 1.5 m or nearly 5 ft, and two more people died in California from waves reaching 2.2 m or over 7 ft. high. Elsewhere around the Pacific Ocean tsunami waves reached as high as 12.2 m or 40 ft at Pitcairn Island (U.K), 7.0 m or 23 ft. in Russia (Kamchatka), 5.0 m or over 16 ft. in New Zealand, 4.9 m or 16 ft. in (Western) Samoa, 2.4 m or about 8 ft. in French Polynesia, 2.1 m or 7 ft. in Canada, 1.8 m or about 6 ft. in Papua New Guinea, and 1.2 m or about 4 ft. in Mexico. In the United States and it territories 2.4 m or about 8 ft. in American Samoa, 2.3 m or 7.5 ft. in Alaska, and 1.8 m or about 6 ft. in Oregon.
\r\n\r\nA global tsunami warning system did not exist in 1960 and the Honolulu Magnetic and Seismic Observatory, which would later become the Pacific Tsunami Warning Center (PTWC), did issue tsunami warnings for this earthquake to the State of Hawaii many hours in advance of its arrival (it would take almost 15 hours for the first wave to reach Hawaii). As a result of this tsunami the United Nations would set up the Pacific Tsunami Warning System (PTWS) in 1965 with the Honolulu Observatory as its headquarters.
\r\n\r\nToday, more than 50 years since the Great Chile Earthquake and the establishment of the PTWS, the PTWC will issue tsunami warnings in minutes, not hours, after a major earthquake occurs, and will forecast how large any resulting tsunami will be as it is still crossing the ocean. The PTWC can also create an animation of a historical tsunami with the same tool that it uses to determine tsunami hazards in real time for any tsunami today: the Real-Time Forecasting of Tsunamis (RIFT) forecast model. The RIFT model takes earthquake information as input and calculates how the waves move through the world s oceans, predicting their speed, wavelength, and amplitude. This animation shows these values through the simulated motion of the waves and as they travel through the world s oceans one can also see the distance between successive wave crests (wavelength) as well as their height (half-amplitude) indicated by their color. More importantly, the model also shows what happens when these tsunami waves strike land, the very information that the PTWC needs to issue tsunami hazard guidance for impacted coastlines. From the beginning the animation shows all coastlines covered by colored points. These are initially a blue color like the undisturbed ocean to indicate normal sea level, but as the tsunami waves reach them they will change color to represent the height of the waves coming ashore, and often these values are higher than they were in the deeper waters offshore. The color scheme is based on the PTWC s warning criteria, with blue-to-green representing no hazard (less than 30 cm or ~1 ft.), yellow-to-orange indicating low hazard with a stay-off-the-beach recommendation (30 to 100 cm or ~1 to 3 ft.), light red-to-bright red indicating significant hazard requiring evacuation (1 to 3 m or ~3 to 10 ft.), and dark red indicating a severe hazard possibly requiring a second-tier evacuation (greater than 3 m or ~10 ft.).
\r\n\r\nToward the end of this simulated 48 hours of activity the wave animation will transition to the energy map of a mathematical surface representing the maximum rise in sea-level on the open ocean caused by the tsunami, a pattern that indicates that the kinetic energy of the tsunami was not distributed evenly across the oceans but instead forms a highly directional beam such that the tsunami was far more severe in the middle of the beam of energy than on its sides. This pattern also generally correlates to the coastal impacts; note how those coastlines directly in the beam are hit by larger waves than those to either side of it.
\r\n\r\nYou can also view a YouTube version of this animation.
\r\n\r\n\r\nEarthquake source used:
\r\n\r\nFujii, Y. and K.Satake, Slip Distribution and Seismic Moment of the 2010 and 1960 Chilean Earthquakes Inferred from Tsunami Waveforms and Coastal Geodetic Data, Pure and Applied Geophysics, 170, 1493-1509, 2012
\r\n", "startTime": "", "endTime": "", "dataLink": "https://vimeo.com/266345962", "format": "video/mp4", "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/oceans/tsunami_historical_series/chile_1960/tsunami-legend.jpg", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=613", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/oceans/tsunami_historical_series/chile_1960/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/oceans/tsunami_historical_series/chile_1960/tour.json", "isHidden": false, "weight": 10, "tags": [ "Water" ] }, { "id": "INTERNAL_SOS_590_VIDEO", "localizationID": "INTERNAL_SOS_590_VIDEO", "organization": "NOAA Pacific Tsunami Warning Center, NASA Blue Marble, GEBCO", "title": "Tsunami Historical Series: Cascadia - 1700", "abstractTxt": "Just before midnight on January 27, 1700 a tsunami struck the coasts of Japan without warning \r\nsince no one in Japan felt the earthquake that must have caused it. Nearly 300 years later\r\nscientists and historians in Japan and the United States solved the mystery of what caused this \r\n\"orphan tsunami\" through careful analysis of historical records in Japan as well as oral histories \r\nof Native Americans, sediment deposits, and ghost forests of drowned trees in the Pacific \r\nNorthwest of North America, a region also known as Cascadia. They learned that this \r\ngeologically active region, the Cascadia Subduction Zone, not only hosts erupting volcanoes but \r\nalso produces megathrust earthquakes capable of generating devastating, ocean-crossing \r\ntsunamis. By comparing the tree rings of dead trees with those still living they could tell when \r\nthe last of these great earthquakes struck the region. The trees all died in the winter of 1699 - 1700 when the coasts of northern California, Oregon, and Washington suddenly dropped 12 m \r\n(36 ft.), flooding them with seawater. That much motion over such a large area requires a very \r\nlarge earthquake to explain it - perhaps as large as 9.2 magnitude, comparable to the Great \r\nAlaska Earthquake of 1964. Such an earthquake would have ruptured the earth along the entire \r\nlength of the 1000 km (600 mi) long fault of the Cascadia Subduction Zone and severe shaking \r\ncould have lasted for 5 minutes or longer. Its tsunami would cross the Pacific Ocean and reach \r\nJapan in about 9 hours, so the earthquake must have occurred around 9:00 at night in \r\nCascadia on January 26, 1700 (05:00 January 27 UTC).
\r\nThe Pacific Tsunami Warning Center (PTWC) can create an animation of a historical tsunami \r\nlike this one using the same tool, the Real-Time Forecasting of Tsunamis (RIFT) forecast \r\nmodel, that they use for determining tsunami hazard in real time for any tsunami today. The \r\nRIFT model takes earthquake information as input and calculates how the waves move through \r\nthe world's oceans, predicting their speed, wavelength, and amplitude. This animation shows \r\nthese values through the simulated motion of the waves, and as they race around the globe one \r\ncan also see the distance between successive wave crests (wavelength) as well as their height \r\n(half-amplitude) indicated by their color. More importantly, the model also shows what happens \r\nwhen these tsunami waves strike land, the very information that PTWC needs to issue tsunami \r\nhazard guidance for impacted coastlines. From the beginning, the animation shows all coastlines \r\ncovered by colored points. These are initially a blue color like the undisturbed ocean to indicate \r\nnormal sea level, but as the tsunami waves reach them they will change color to represent the \r\nheight of the waves coming ashore, and often these values are higher than they were in the \r\ndeeper waters offshore. The color scheme is based on PTWC's warning criteria, with blue-to-green representing no hazard (< 30 cm or ~1 ft.), yellow-to-orange indicating low hazard with a \r\nstay-off-the-beach recommendation (30 - 100 cm or ~1 - 3 ft.), light red-to-bright red indicating \r\nsignificant hazard requiring evacuation (1 - 3 m or ~3 - 10 ft.), and dark red indicating a severe \r\nhazard possibly requiring a second-tier evacuation (> 3 m or > ~10 ft.).
\r\nToward the end of this simulated 48 hours of activity, the wave animation will transition to the \r\n\"energy map\" of a mathematical surface representing the maximum rise in sea level on the \r\nopen ocean caused by the tsunami, a pattern that indicates that the kinetic energy of the \r\ntsunami was not distributed evenly across the oceans but instead forms a highly directional \r\n\"beam\" such that the tsunami was far more severe in the middle of the \"beam\" of energy than on \r\nits sides. This pattern also generally correlates to the coastal impacts; note how those \r\ncoastlines directly in the \"beam\" have a much higher impact than those to either side of it.
\r\nThe full report about the Orphan Tsunami of 1700 can be found here.
\r\nFor a YouTube version of this animation, please see: https://youtu.be/4W2iUl0VB8c
.\r\n\r\n", "startTime": "", "endTime": "", "dataLink": "https://vimeo.com/266344849", "format": "video/mp4", "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/oceans/tsunami_historical_series/cascadia/tsunami-legend.jpg", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=590", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/oceans/tsunami_historical_series/cascadia/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/oceans/tsunami_historical_series/cascadia/tour.json", "isHidden": false, "weight": 10, "tags": [ "Water" ] }, { "id": "INTERNAL_SOS_296_VIDEO", "localizationID": "INTERNAL_SOS_296_VIDEO", "organization": "NASA/GSFC ", "title": "Largest (movie)", "abstractTxt": "Three hundred and eighty million miles from Earth, the solar system's largest planet spins like a sizzling top in the night, massive and powerful beyond all comparison short of the sun itself. It's therefore only fitting - and certainly about time - that the fifth planet receive its proper cinematic due, set naturally on the most appropriate cinematic platform. With the movie LARGEST, Jupiter comes to Science On a Sphere.
\nLARGEST examines the gas giant like a work of art, like a destination of celestial wonder. Starting with the basics, the movie examines the gross anatomy of the immense planet. From swirling winds to astounding rotational velocity to unimaginable size, Jupiter demands nothing less than a list of superlatives. But where general description sets the stage, LARGEST parts the curtains on humanity's experience with the fifth planet. The movie takes us on a journey to this immense sphere via dramatic fly-bys with some of the most astounding robotic probes ever designed. Then, with NASA instruments trained on the striped behemoth, the drama really begins. To learn more about LARGEST, visit the film's website at:
\n www.nasa.gov/largest.\n\nLength of dataset: 8:00
", "dataLink": "https://vimeo.com/266338454", "format": "video/mp4", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=296", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/largest/thumbnail_small.jpg", "closedCaptionLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/largest/largest.srt", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/extras/largest/tour.json", "isHidden": false, "weight": 10, "tags": [ "Movies", "Space" ] }, { "id": "INTERNAL_SOS_333_VIDEO", "localizationID": "INTERNAL_SOS_333_VIDEO", "organization": "NASA Modeling, Analysis, and Prediction ", "title": "Sea Surface Currents and Temperature (vegetation on land)", "abstractTxt": "To increase understanding and predictive capability for the ocean’s role in future climate change scenarios, the NASA Modeling, Analysis, and Prediction (MAP) program has created a project called Estimating the Circulation and Climate of the Ocean, Phase II (ECCO2): High-Resolution Global-Ocean and Sea-Ice Data Synthesis. ECCO2 produces increasingly accurate syntheses of all available global-scale ocean and sea-ice data at resolutions that start to resolve ocean eddies and other narrow current systems, which transport heat, and other properties within the ocean. ECCO2 data syntheses are created by using the available satellite and in-situ data in the Massachusetts Institute of Technology General Circulation Model (MIT GCM). ECCO2 simulates ocean flows at all depths, but only surface flows are used in this visualization. The global sea surface current flows are colored by corresponding sea surface temperatures. The sea surface temperature data is also from the ECCO2 model.
\r\n\r\nThese surface flows and temperatures represent only the top few meters of the oceans. They are primarily driven by the surface winds, traveling at about 3% of the speed of the winds. The distribution of solar energy from the equators to the poles also contributes to the currents, with the oceans responsible for 40% of the global heat transport. \r\n
\r\n![\"Color](\"../images/colorbar/ecco2_sst.png\")
\r\nThe dominant features are the five subtropical gyres caused by the surface winds. These gyres are centered around high pressure zones in the North Atlantic, North Pacific, South Atlantic, South Pacific, and the Indian Ocean. Circulation moves clockwise in the northern hemisphere, and counterclockwise in the southern hemisphere. The ocean circulation close to the equator are primarily east to west, again, in the direction of the surface winds. The rotating gyres include a northward flow in the western Atlantic and western Pacific moving the warm waters toward the north pole. The cooler waters flow south in the eastern Pacific and Atlantic in its return to the equator. There is one primary circulation in the Indian Ocean about the equator with seasonal variability. Below about 50 degrees south is the eastward circumpolar current around Antarctica, following the direction of the surface winds similar to the other major current systems. This visualization shows the ocean surface currents and temperatures around the world from March 2007 through March 2008.
\r\n", "startTime": "2007-03-25T12:00:00", "endTime": "2008-03-03T12:00:00", "period": "PT4H8M", "dataLink": "https://vimeo.com/266209798", "format": "video/mp4", "fileSequenceStart": 0, "fileSequenceIncrement": 0, "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/oceans/ecco2_sst/veg_land/colorbar_en.png", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=333", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/oceans/ecco2_sst/veg_land/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/oceans/ecco2_sst/veg_land/tour.json", "isHidden": false, "weight": 10, "tags": [ "Water" ] }, { "id": "INTERNAL_SOS_44_VIDEO", "localizationID": "INTERNAL_SOS_44_VIDEO", "organization": "flightstats.com", "title": "Air Traffic", "abstractTxt": "\"On any given day, more than 87,000 flights are in the skies in the United States. Only one-third are commercial carriers, like American, United or Southwest. On an average day, air traffic controllers handle 28,537 commercial flights (major and regional airlines), 27,178 general aviation flights (private planes), 24,548 air taxi flights (planes for hire), 5,260 military flights and 2,148 air cargo flights (Federal Express, UPS, etc.). At any given moment, roughly 5,000 planes are in the skies above the United States. In one year, controllers handle an average of 64 million takeoffs and landings.\" - From the National Air Traffic Controllers Association webpage\n
This dataset tracks commercial flights from the approximately 9000 civil airports worldwide. The day/night terminator is included as a time reference. Flight traffic picks up noticeably during daylight hours and drops off through the night. Each yellow tail is one plane in this visualization
", "period": "PT5M", "dataLink": "https://vimeo.com/265825497", "format": "video/mp4", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=44", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/atmosphere/air_traffic/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/atmosphere/air_traffic/tour.json", "isHidden": false, "weight": 10, "tags": [ "Land", "People", "Air" ] }, { "id": "INTERNAL_SOS_458_VIDEO", "localizationID": "INTERNAL_SOS_458_VIDEO", "organization": "Aquarium of the Pacific", "title": "Marine Debris (movie)", "abstractTxt": "This show focuses on the issue of marine debris, which is any man-made material that ends up in the ocean or Great Lakes.\r\n
\r\nMarine debris is now present everywhere on Earth and is transported by ocean currents, accumulating in areas called garbage patches. The show describes the problems associated with marine debris and the impacts it has on marine life. NOAA established a Marine Debris Program in 2005, supporting hundreds of projects to address the issue of marine debris across the United States. This show was made possible with funds from NOAA and the Miller Foundation.
\r\nLength of dataset: 5:21
", "dataLink": "https://vimeo.com/268053383", "format": "video/mp4", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=458", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/marine_debris/thumbnail_small.jpg", "closedCaptionLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/marine_debris/marine_debris.srt", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/extras/marine_debris/tour.json", "isHidden": false, "weight": 10, "tags": [ "Movies", "Water" ] }, { "organization": "NOAA", "id": "INTERNAL_SOS_650", "localizationID": "INTERNAL_SOS_650", "title": "Satellite Positions", "abstractTxt": "Satellites in orbit around the Earth", "startTime": "2000-01-01T12:00:00", "endTime": "2050-01-15T12:00:00", "boundingVariables": { "n": "90", "s": "-90", "w": "-180", "e": "180" }, "format": "satellites/tle", "satellites": [ { "tleUrl": "https://www.celestrak.com/NORAD/elements/noaa.txt", "satelliteTypeName": "NOAA (near orbit)", "satelliteNamesMask": "NOAA", "assetBundleFilename": "" }, { "tleUrl": "https://www.celestrak.com/NORAD/elements/geo.txt", "satelliteTypeName": "NOAA (geostationary)", "satelliteNamesMask": "GOES", "assetBundleFilename": "" }, { "tleUrl": "https://www.celestrak.com/NORAD/elements/stations.txt", "satelliteTypeName": "Space Stations", "satelliteNamesMask": "ISS,TIANGONG", "assetBundleFilename": "" }, { "tleUrl": "https://www.celestrak.com/NORAD/elements/gps-ops.txt", "satelliteTypeName": "GPS", "satelliteNamesMask": "", "assetBundleFilename": "" }, { "tleUrl": "https://www.celestrak.com/NORAD/elements/weather.txt", "satelliteTypeName": "Weather (non-NOAA)", "satelliteNamesMask": "MET,FOR,FEN,HIM,CYG,ELEK", "assetBundleFilename": "" }, { "tleUrl": "https://www.celestrak.com/NORAD/elements/geo.txt", "satelliteTypeName": "Geostationary (various)", "satelliteNamesMask": "ECHOSTAR 18,ECHOSTAR 10,ECHOSTAR 11,ECHOSTAR 12,ECHOSTAR 14,ECHOSTAR 15,ECHOSTAR 16,ECHOSTAR 17,DIRECTV,GALAXY,INMARSAT", "assetBundleFilename": "" } ], "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=650", "dataLink": "", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/satellites/satellites-many/thumbnail.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/satellites/satellites-many/tour.json", "legendLink": "", "weight": "10", "isHidden": false, "tags": [ "Space" ] }, { "organization": "National Marine Sanctuaries", "localizationID": "INTERNAL_SOS_687", "id": "INTERNAL_SOS_687", "title": "360 Media - National Marine Sanctuaries", "abstractTxt": "", "boundingVariables": { "n": "90", "s": "-90", "w": "-180", "e": "180" }, "format": "tour/json", "websiteLink": "https://sanctuaries.noaa.gov/vr/", "dataLink": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/sanctuaries-vr-groups/tour.json", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/sanctuaries-vr-groups/tour.json", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/sanctuaries-vr-groups/thumbnail_small.jpg", "weight": 10, "isHidden": false, "tags": [ "Tours", "People", "Water" ], "kmlIconScaleFactor": 1, "kmlPopupBrowserWidthPct": 25, "kmlPopupBrowserHeightPct": 25, "isFlippedInY": false, "showKmlScreenOverlays": false, "lonOrigin": -180, "fileSequenceStart": 0, "fileSequenceIncrement": 1 }, { "id": "INTERNAL_SOS_663", "localizationID": "INTERNAL_SOS_663", "organization": "Goddary Space Flight Center Solar Dynamics Observatory", "title": "Aurora (3D)", "abstractTxt": "", "format": "assetbundle", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=379", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/aurora/thumbnail_small.jpg", "assetBundleFilename": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/aurora/aurora", "isHidden": true, "weight": 10, "tags": [ "Space" ], "celestialBody": "aurora" }, { "id": "INTERNAL_SOS_662", "localizationID": "INTERNAL_SOS_662", "organization": " Bjorn Jonsson", "title": "Saturn with Rings (3D)", "abstractTxt": "Saturn was the only known ringed planet until 1977 when faint \r\nrings were detected around Uranus. Saturn is probably best known \r\nfor its spectacular rings, but Saturn has many other unique \r\nfeatures. Saturn is actually not a spherical planet. Most of the \r\ngas planets, in fact, flatten slightly and become oblate due to \r\ntheir rapid rotation. This characteristic is most pronounced on \r\nSaturn, where the equatorial diameter can be as much as 10% longer \r\nthan its polar diameter. This variability in Saturn's diameter is \r\ndue to its gassy composition of 75% hydrogen, 25% helium with \r\ntraces \r\nof water, methane, ammonia, and rock. Saturn has a small rocky \r\ncore, then a layer of liquid metallic hydrogen and a layer of \r\nmolecular hydrogen.
\r\n\r\nLike Jupiter and the other gas planets, Saturn has a banded \r\nappearance in its coloration due to high winds in the atmosphere. \r\nThe bands are not as distinct as those on Jupiter, however, they are \r\nvery wide at the equator and easy to detect. Another similarity to \r\nJupiter is the storms that are visible on Saturn's surface in the \r\nform of white or red ovals. However, none of these storms seem to \r\nbe as long-lived as the Great Red Spot on Jupiter. Saturn also has distinctive storms producing more turbulent looking white clouds that appear on occasion (seen faintly here).\r\nAnother notable feature of Saturn's atmosphere is a hexagon shaped feature near the north pole, caused by a wave motion in the winds are they circle around the pole.\r\nThis view of Saturn is designed to be in true color to match its visual appearance in a telescope.\r\n
", "format": "assetbundle", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=662", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/saturn/original/thumbnail_small.jpg", "assetBundleFilename": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/saturn/original/saturn", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/saturn/original/tour.json", "isHidden": false, "weight": 10, "tags": [ "Space" ], "celestialBody": "Saturn", "radiusMi": 36184 }, { "id": "INTERNAL_SOS_659", "localizationID": "INTERNAL_SOS_659", "organization": "Goddary Space Flight Center Solar Dynamics Observatory", "title": "Comet: 67P (3D)", "abstractTxt": "", "format": "assetbundle", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=659", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/67p/67p_thumbnail.jpg", "assetBundleFilename": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/67p/67p", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/67p/tour.json", "isHidden": false, "weight": 10, "tags": [ "Space" ], "celestialBody": "67p" }, { "id": "INTERNAL_SOS_330_ONLINE", "localizationID": "INTERNAL_SOS_330_ONLINE", "organization": "University of Minnesota/Institute on the Environment/Global Landscapes Initiative", "title": "Agriculture: Cropland Intensity", "abstractTxt": "These visualizations, created by the University of Minnesota’s Institute on the Environment, show the global land use intensity for pastureland and cropland.Cropland is land devoted to growing plants for humans use for food, material, or fuel. Pastureland is land used for raising and grazing animals. Altogether, cropland covers about 16 million square kilometers, an area of land approximately the size of South America. Global pastureland occupies more than 30 million square kilometers, about the area of Africa.
\r\nCumulatively, agricultural land covers about 40% of the Earth’s land surface, and the vast majority of its arable land. Creating additional farmlands would require the destruction of other ecosystems, such as the tropical rainforests. Touched on briefly in 2 Billion More Coming to Dinner, talking points could revolve around the value of food production versus the value of the ecosystem services provided by rainforests, intensification of agriculture compared to agricultural expansion, and what the long term repercussions of each strategy might be.
\r\n![\"Food](\"../images/colorbar/cropland.png\")
These visualizations, created by the University of Minnesota’s Institute on the Environment, show the global land use intensity for pastureland and cropland.Cropland is land devoted to growing plants for humans use for food, material, or fuel. Pastureland is land used for raising and grazing animals. Altogether, cropland covers about 16 million square kilometers, an area of land approximately the size of South America. Global pastureland occupies more than 30 million square kilometers, about the area of Africa.
\r\nCumulatively, agricultural land covers about 40% of the Earth’s land surface, and the vast majority of its arable land. Creating additional farmlands would require the destruction of other ecosystems, such as the tropical rainforests. Touched on briefly in 2 Billion More Coming to Dinner, talking points could revolve around the value of food production versus the value of the ecosystem services provided by rainforests, intensification of agriculture compared to agricultural expansion, and what the long term repercussions of each strategy might be.
\r\nThe surface of the Earth is composed of a mosaic tectonic plates moving with respect to each other. The Earth is made of seven major plates and several smaller plates. As the plates move, new sea floor can be created. The plates form three different kinds of boundaries: convergent, divergent, and transform. Convergent boundaries are also called collision boundaries because they are areas where two plates collide. At transform boundaries, the plates slide and grind past one another. The divergent boundaries are the areas where plates are moving apart from one another. Where plates move apart, new crustal material is formed from molten magma from below the Earth's surface. Because of this, the youngest sea floor can be found along divergent boundaries, such as the Mid-Atlantic Ocean Ridge. The spreading, however, is generally not uniform causing linear features perpendicular to the divergent boundaries.
\r\n\r\n\r\nThis dataset shows the age of the ocean floor along with the labeled tectonic plates and boundaries. Contours of 20 million years are available as a layer that is currently set to invisible. The data is from four companion digital models of the age, age uncertainty, spreading rates and spreading asymmetries of the world's ocean basins. Scientists use the magnetic polarity of the sea floor to determine the age. Very little of the sea floor is older than 150 million years. This is because the oldest sea floor is subducted under other plates and replaces by new surfaces. The tectonic plates are constantly in motion and new surfaces are always being created. This continual motion is evidenced by the occurrence of earthquakes and volcanoes.
\r\n", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=119", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/land/sea_floor_age/tour.json", "dataLink": "https://d3sik7mbbzunjo.cloudfront.net/land/sea_floor_age/seafloor.jpg", "format": "image/jpg", "probingInfo": { "units": "m.y.", "minVal": 0, "maxVal": 280, "minPos": { "x": 17, "y": 193, "XUnits": "Pixels", "YUnits": "Pixels" }, "maxPos": { "x": 929, "y": 193, "XUnits": "Pixels", "YUnits": "Pixels" } }, "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/land/sea_floor_age/colorbar_contour_en.png", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/land/sea_floor_age/thumbnail_small.jpg", "isHidden": false, "isHiddenFromVRSearch": true, "weight": 10, "tags": [ "Land", "Water" ] }, { "title": "Mars", "organization": "NASA", "id": "INTERNAL_SOS_224_ONLINE", "abstractTxt": "Mars is aptly referred to as the red planet as its surface is red due to a high concentration of iron oxides in the soil. This small rocky planet, the fourth from the sun, has polar ice caps that change in size with the seasons. Mars touts not only the highest point in the solar system, but also a canyon over 4 miles (6.5 km) deep. The highest point, the mountain Olympus Mons is 88,500 feet (almost 17 miles) above the surrounding area and has an astounding diameter of over 300 miles. On Mars, Valles Marineris is almost 2500 miles long, approximately the width of the United States, and nearly 4 miles (6.5 km) deep.", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=224", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/astronomy/mars/mars_thumbnail.png", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/astronomy/mars/tour.json", "format": "image/jpg", "dataLink": "https://d3sik7mbbzunjo.cloudfront.net/astronomy/mars/mars.jpg", "celestialBody": "Mars", "isHidden": false, "isHiddenFromVRSearch": false, "weight": 10, "radiusMi": 2106.1, "tags": [ "Space" ] }, { "title": "Venus", "organization": "NASA", "id": "INTERNAL_SOS_215_ONLINE", "abstractTxt": "Venus has been referred to by many as the sister or even twin to Earth. This is because of its similar chemical composition, density and size. That, however, is where the similarities end. Venus is not only the hottest planet in the solar system, but also the brightest. Both of these characteristics are the result of the atmosphere that surrounds the planet, which is mainly composed of carbon dioxide and some sulfuric acid. This composition allows for the greenhouse effect to be astronomical causing the planet to have a constant temperature of 864F. The planet is the brightest because the clouds, composed of sulfur dioxide and sulfuric acid, are highly reflective. The pressure of the atmosphere that surrounds Venus is 90 times that of the atmosphere around Earth, crushing any probes that land on Venus in a matter of hours.", "celestialBody": "Venus", "radiusMi": 3760.4, "boundingVariables": { "n": "90", "s": "-90", "w": "-180", "e": "180" }, "format": "image/dds", "datalink": "https://d3sik7mbbzunjo.cloudfront.net/astronomy/venus/venus.jpg", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/astronomy/venus/venus_thumbnail.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/astronomy/venus/tour.json", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=215", "isHidden": false, "weight": 10, "tags": [ "Space" ] }, { "id": "INTERNAL_SOS_618_ONLINE", "organization": "Light Pollution Science and Technology Institute and CIRES", "title": "Light Pollution - Artificial Sky Brightness", "abstractTxt": "Artificial lights raise night sky luminance, creating the most visible effect of light pollution artificial skyglow. Despite the increasing interest among scientists in fields such as ecology, astronomy, health care, and land-use planning, light pollution lacks a current quantification of its magnitude on a global scale. To overcome this, we present the world atlas of artificial sky luminance, computed with our light pollution propagation software using new high-resolution satellite data and new precision sky brightness measurements. This atlas shows that more than 80% of the world and more than 99% of the U.S. and European populations live under light-polluted skies. The Milky Way is hidden from more than one-third of humanity.", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=618", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/land/nightsky/tour.json", "dataLink": "https://d3sik7mbbzunjo.cloudfront.net/land/nightsky/nightsky.jpg", "format": "image/jpg", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/land/nightsky/thumbnail_small.jpg", "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/land/nightsky/legend.jpg", "isHidden": false, "weight": 10, "tags": [ "Land" ] }, { "title": "Moon", "organization": "NASA", "id": "INTERNAL_SOS_220_ONLINE", "abstractTxt": "The moon rotates in such a way that the same side always faces the Earth. The side viewed from Earth is referred to as the near side, while the other side is the far side. Exploration of the moon has revealed that the near side of the moon is different than the far side of the moon. The near side of the moon has light areas referred to as Lunar Highlands and dark areas called Maria. The Maria are lower in altitude than the highlands and filled with dark solidified lava from when the moon was volcanically active. Both areas are littered with craters, as the Moon's surface is very old and has had time to accumulate craters.", "celestialBody": "Moon", "radiusMi": 1079.4, "boundingVariables": { "n": "90", "s": "-90", "w": "-180", "e": "180" }, "format": "image/jpg", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/astronomy/moon/moon_thumbnail.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/astronomy/moon/tour.json", "datalink": "https://d3sik7mbbzunjo.cloudfront.net/astronomy/moon/moon.jpg", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=220", "isHidden": false, "weight": 10, "tags": [ "Space" ] }, { "title": "Moon: Topography", "organization": "NASA", "id": "INTERNAL_SOS_381_ONLINE", "abstractTxt": "This particular dataset shows the Moon's topography in false color. The moon rotates in such a way that the same side always faces the Earth. The side viewed from Earth is referred to as the near side, while the other side is the far side. Exploration of the moon has revealed that the near side of the moon is different than the far side of the moon. The near side of the moon has light areas referred to as Lunar Highlands and dark areas called Maria. The Maria are lower in altitude than the highlands and filled with dark solidified lava from when the moon was volcanically active. Both areas are littered with craters, as the Moon's surface is very old and has had time to accumulate craters.", "celestialBody": "Moon", "radiusMi": 1079.4, "boundingVariables": { "n": "90", "s": "-90", "w": "-180", "e": "180" }, "format": "images/jpg", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/astronomy/lro/lola/topography/moon_falsecolor_thumbnail.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/astronomy/lro/lola/topography/tour.json", "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/astronomy/lro/lola/topography/colorbar.png", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=381", "datalink": "https://d3sik7mbbzunjo.cloudfront.net/astronomy/lro/lola/topography/moon_topo.jpg", "isHidden": false, "weight": 10, "tags": [ "Space" ] }, { "id": "INTERNAL_SOS_262_ONLINE", "organization": "Voyager", "title": "Neptune", "abstractTxt": "Neptune is the eighth planet in the solar system at an average distance of 2.8 billion miles from the Sun. Due to the eccentric orbit of Pluto, Neptune becomes the ninth planet for a period of 20 years every 248 Earth years. The blue coloring is the result of methane in the atmosphere, though the exact reason for the vividness of the blue is still unknown. The axis of the magnetic field and the axis of rotation are off by 47° on Neptune causing wild variations in the magnetic field, which is 27 times stronger than Earth’s. Also, six rings which appear to be young, encircle Neptune. \n
\n\n\n\tThe winds that whip around Neptune are on average nine times faster than those on Earth and are believed to be the strongest winds in the solar system. Storms much like the Great Red Spot on Jupiter have been seen on Neptune. Unlike the Great Red Spot, which has been observed for over 300 years, the storms on Neptune seem to come and go. In 1986 the Voyager 2 discovered the Great Dark Spot, a storm in the Southern Hemisphere. However, later images from the Hubble Space Telescope show that the Great Dark Spot no longer exists and that a new storm formed in the Northern Hemisphere. Also, there is a group of white clouds referred to as The Scooter which races around the planet every 16 hours. The Scooter is thought to be a plume from lower in the atmosphere, though its true origin is unknown. \n
", "dataLink": "https://d3sik7mbbzunjo.cloudfront.net/astronomy/neptune/neptune.jpg", "format": "image/jpg", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=262", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/astronomy/neptune/tour.json", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/astronomy/neptune/thumbnail_small.jpg", "isHidden": false, "weight": 10, "tags": [ "Space" ], "celestialBody": "Neptune", "radiusMi": 15299 }, { "id": "INTERNAL_SOS_326_ONLINE", "organization": "University of Minnesota/Institute on the Environment/Global Landscapes Initiative", "title": "Agriculture: Food vs. Feed ", "abstractTxt": "Not all cropland is used for producing food directly for people. A lot of the food crops grown are actually used as feed for animals. This map shows which regions produce crops that are mostly consumed directly by humans (in green), which regions produce about the same amount of human food and animal feed (in orange), and where most of the crops are used as animal feed (in red).
\r\nAs discussed in 2 Billion More Coming to Dinner , the conversion of crops to meat is not particularly efficient (in the case of cattle, for example, about 30 pounds of feed are needed to grow a single pound of beef), so as global demand for meat rises, cropland devoted to growing animal feed will have to increase proportionately. What effect will this have on the cost of meat, crops, and our diets?
\r\n![\"Food](\"../images/colorbar/food_v_feed.jpg\")
Dengue fever is an infectious tropical disease that is caused by the dengue virus and transmitted by mosquitoes. Symptoms of dengue fever, also called breakbone fever, are headache, muscle ache, fever, and a measle-like rash. Incidence of dengue fever has dramatically increased since the 1960's, infecting hundreds of millions of people yearly, making it \"the most important mosquito-borne viral pathogen affecting humans today,\" according to IDAMS.
\nThis map was developed by IDAMS: the International Research Consortium on Dengue Risk Assessment, Management, and Surveillance. This group is a conglomerate of international experts that work together to improve the diagnosis and management of dengue fever. In order to accomplish this, IDAMS focuses on the creation of new and innovative tools to control dengue fever on a global scale.
\n![\"Image](\"https://www.sos.noaa.gov/images/colorbar/dengue.png\")
This map displays the global probability of occurrence for dengue fever in 2010. Ranging from 0 in white to 100% in dark red. For example, a 20% probability of occurrence means that the likelihood that someone in the 5 sq km region will contract dengue within the year is 20%. We can see that there are many places throughout the world with high probability of dengue fever. Using models, IDAMS estimates that there are 390 million cases of dengue each year which is 3 times that previously estimated. Of the 390 million cases, only 100 million are symptomatic while the remaining are estimated inapparent. The inapparent cases, or the cases that have no symptoms, are a large piece to the transmission of the disease and an important part of the story behind the global distribution of dengue fever.
\nFor more information, please visit IDAMS website.
\n", "startTime": "2010-01-01T00:00:00", "endTime": "2010-12-31T00:00:00", "dataLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/dengue/dengue.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/extras/dengue/tour.json", "format": "image/jpg", "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/dengue/legend.png", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=422", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/dengue/thumbnail_small.jpg", "isHidden": false, "weight": 10, "tags": [ "People" ] }, { "id": "INTERNAL_SOS_446_VIDEO", "organization": "NASA Goddard Space Flight Center", "title": "Water Falls (movie)", "abstractTxt": "WATER FALLS introduces audiences to the Global Precipitation Measurement (GPM) mission, a joint NASA/Japan Aerospace Exploration Agency initiative to study precipitation from space. The best way to study the global water cycle is to collect data about the whole planet. It's only in the last few decades that remote sensing technologies have advanced to a state where global measurements are accurate and thorough enough to gather the kinds of deep data sets necessary for detailed analysis. GPM will transform how humanity thinks about rainfall and fresh water management, and it will facilitate vital research into important climate questions.
\r\n\r\nTo capture the holistic, all-encompassing nature of the subject, the GPM project office commissioned WATER FALLS. This 9 minute movie is designed to convey the basic architecture of the orbiting GPM fleet, as well as invest audiences in the importance of turning a critical eye onto something seemingly as ordinary as fresh water from the sky.
\r\n\r\nRainfall means life on Earth, but it also offers a lens on a changing planet. A glass of clean, fresh water represents a moment of profound modernity, held in a human hand. The transmutability of water itself, endlessly moving and changing over time, perfectly illustrates the reasons we seek to understand the natural world. It's the èlan vital, and as a substance possessing qualities that transcend its seeming simplicity, water metaphorically describes the most essential qualities of life.
\r\n\r\nThere are three Water Falls docent scripts available as well: \r\n
\r\nIn addition, make sure to visit the Water Falls Education page\r\n\r\nLength of dataset: 8:38
", "dataLink": "https://vimeo.com/267904109", "format": "video/mp4", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=446", "closedCaptionLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/waterfalls/waterfalls.en_US.srt", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/extras/waterfalls/tour.json", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/waterfalls/thumbnail_small.jpg", "isHidden": false, "weight": 10, "tags": [ "Air", "Movies", "Water" ] }, { "organization": "", "id": "INTERNAL_SOS_143_ONLINE", "title": "Human Impacts on Marine Ecosystems", "abstractTxt": "\n", "startTime": "", "endTime": "", "boundingVariables": { "n": "90", "s": "-90", "w": "-180", "e": "180" }, "format": "image/jpg", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=143", "dataLink": "https://d3sik7mbbzunjo.cloudfront.net/oceans/marine_impacts/marine_impact.jpg", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/oceans/marine_impacts/thumbnail_small.jpg", "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/oceans/marine_impacts/HumanImpactColorbar.png", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/oceans/marine_impacts/tour.json", "weight": 10, "isHidden": false, "tags": [ "Water", "People" ], "kmlIconScaleFactor": 1, "kmlPopupBrowserWidthPct": 25, "kmlPopupBrowserHeightPct": 25, "isFlippedInY": false, "showKmlScreenOverlays": false, "lonOrigin": -180, "fileSequenceStart": 0, "fileSequenceIncrement": 1 }, { "id": "INTERNAL_SOS_300_VIDEO", "organization": "NOAA GFDL, NOAA CPC, NOAA NCDC, NASA, SSEC", "title": "Forecast: Tropical Cyclones (movie)", "abstractTxt": "Nowadays, we can anticipate where and when a tropical cyclone will hit land thanks to precision forecasts enabled by powerful computers and high-tech observational tools. But long ago, the most powerful storms in the world struck coastal dwellers by surprise. How did we learn to predict these tempests? Forecast: Tropical Cyclone, a new movie developed for Science On a Sphere (SOS)® by the American Museum of Natural History, chronicles the history and science of tropical cyclone prediction.
\n![](\"/images/extras/forecast.png\"\n)
\n\nForecast: Tropical Cyclone takes sphere-watchers on a journey through time and technology, beginning with early storm observations from Caribbean shores and the decks of schooners through the modern age of computer modeling. Along the way, dynamic narration, visualized data, and animation explain how people came to observe and understand the patterns of hurricanes, typhoons, and cyclones–collectively known as tropical cyclones. The movie also reveals the inner workings of these storms and deconstructs how computer models work to predict them.\n
\n\nForecast: Tropical Cyclone was produced by the American Museum of Natural History (AMNH) in New York City as part of the SOS Ocean-Atmosphere Partnership, a collaboration between AMNH, the Science Museum of Minnesota, the Maryland Science Center, and NOAA's Geophysical Fluid Dynamics Laboratory. The movie is 8 minutes, 19 seconds long. Visit The Flow: Currents and Climate to download a second movie produced for the SOS Ocean-Atmosphere Partnership by the Science Museum of Minnesota.
\nTo support the movie, AMNH has also prepared a description of datasets depicted as well as useful resources on tropical cyclones and computer modeling. Additionally, the Maryland Science Center has developed two live SOS shows\nfor docents to engage audiences with the content of Forecast: Tropical\nCyclone. The shows employ props and additional imagery and datasets. You\nwill find the scripts and related resources at the following links:
\nLength of dataset: 8:19
", "dataLink": "https://vimeo.com/342064001", "format": "video/mp4", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=300", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/extras/forecast_amnh/tour.json", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/forecast_amnh/thumbnail_small.jpg", "closedCaptionLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/forecast_amnh/forecast_amnh.en_US.srt", "isHidden": false, "weight": 10, "tags": [ "Air", "Movies" ] }, { "id": "INTERNAL_SOS_440_VIDEO", "organization": "NOAA, NASA, GLOBAIA", "title": "Changing Climate, Changing Ocean (movie)", "abstractTxt": "Changing Climate, Changing Ocean focuses on the impacts that increasing carbon dioxide levels have on the climate and ocean health and the need for urgent global action as this is a challenge we can rise to. Datasets include seasonal cycling of atmospheric carbon dioxide levels, the global transportation system, change in Earth's average temperature since 1940, and Arctic sea ice minimums 1980-2012. The narrated program highlights our use of fossil fuels and impacts on the global carbon cycle, ocean acidification, the recovering ozone hole over Antarctica, and sustainable energy alternatives.
\n\n The program was developed by the Smithsonian Institution's National Museum of Natural History for the Sant Ocean Hall's Science On a Sphere® theater in collaboration with NOAA's: Climate Change Office Program, NESDIS Environmental Visualizations Lab, and OAR/ESRL/Global Systems Division. The program was developed thanks to a generous grant from the Smithsonian Women's Committee.
\n\nNote: This film may be shared and distributed only among the NOAA Science On a Sphere® network for members to display at their site. This film may not be displayed on any application other than a Science-On a Sphere. No segment of the film may be repurposed or distributed in any way other than its original intended use. The film must be shown in its entirety.
\nLength of dataset: 6:30
", "dataLink": "https://vimeo.com/267894259", "format": "video/mp4", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=440", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/extras/changing_climate/tour.json", "closedCaptionLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/changing_climate/changing_climate.en_US.srt", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/changing_climate/thumbnail_small.jpg", "isHidden": false, "weight": 10, "tags": [ "Air", "Movies", "Water" ] }, { "id": "INTERNAL_SOS_454_VIDEO", "organization": "Aquarium of the Pacific", "title": "Our Instrumented Earth (movie)", "abstractTxt": "NASA, the Aquarium of the Pacific, the Oregon Museum of Science and Industry (OMSI), and the NASA Goddard Space Flight Center (NASA Goddard) have partnered to create a new program for the public. Our Instrumented Earth is a new exhibit-based show that will debut at the Aquarium, OMSI, and NASA Goddard this year, serving communities in California, Oregon, and Maryland, The program will officially debut at the Aquarium of the Pacific on September 18, 2013.
\r\n\r\nOur Instrumented Earth celebrates NASA's advances in technology and illuminates how information can be harnessed to increase understanding of Earth's systems to enhance human lives and protect our planet. NASA awarded the Aquarium of the Pacific with a $331,000 grant to oversee the creation of the new program in conjunction with the Earth Sciences Division at NASA Goddard and OMSI. Others involved in the development of the program include the NASA Jet Propulsion Laboratory (JPL), an operating division of the California Institute of Technology, and University of California, Irvine.\r\n
\r\nLength of dataset: 5:21
", "dataLink": "https://vimeo.com/268071173", "format": "video/mp4", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=454", "closedCaptionLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/instrumented_earth/instrumented_earth.en_US.srt", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/instrumented_earth/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/extras/instrumented_earth/tour.json", "isHidden": false, "weight": 10, "tags": [ "Air", "Movies", "Space", "Water" ] }, { "organization": "Science Museum of Minnesota", "id": "INTERNAL_SOS_301_VIDEO", "title": "Flow: Currents and Climate (movie)", "abstractTxt": "", "format": "video/mp4", "websiteLink": "https://sos.noaa.gov/Datasets/dataset.php?id=301", "dataLink": "https://vimeo.com/286968375", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/extras/flow_smm/tour.json", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/flow_smm/thumbnail1_small.jpg", "closedCaptionLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/flow_smm/flow_smm.en_US.srt", "legendLink": "", "weight": 10, "isHidden": false, "tags": [ "Movies", "Water", "Air" ] }, { "id": "INTERNAL_SOS_480_VIDEO", "organization": "Institute on the Environment at the University of Minnesota ", "title": "The Human Era: A World of Changes (movie)", "abstractTxt": "The Human Era is a three-minute autorun that features geologist Chris Paola from the University of Minnesota and Patrick Hamilton from the Science Museum of Minnesota summarizing anthropogenic challenges and humanity's potential to meet those challenges. The first part of the film highlights dramatic changes to our land, oceans and atmosphere from human activity over the last 200 years. The second part argues that we are capable of meeting the challenges - we are the best-educated, wealthiest, best-connected cohort of humans who have ever lived. As Chris Paola says in the film, \"It's an amazing time. A time of great change, a time of great peril, perhaps, but it's also a time of great possibility.\"
\r\n\r\nThe Human Era is one in a series of four SOS films that use data visualizations and actual scientists to tell stories about the impacts of climate change. No other single natural factor affects Earth as much as humans now do. Separately, each film stands alone, focusing on a single area of human impact, and features a researcher working in this area. Together, the films tell a bigger story about the human-generated effects of global climate change.
\r\n\r\nThis movie is available in English and Spanish.
\r\n\r\nLength of dataset: 3:36
", "dataLink": "https://vimeo.com/343049395", "format": "video/mp4", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/extras/human_era/tour.json", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=480", "closedCaptionLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/human_era/human-era.en_US.srt", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/human_era/thumbnail_small.jpg", "isHidden": false, "weight": 10, "tags": [ "Air", "Movies", "People" ] }, { "id": "INTERNAL_SOS_305_ONLINE", "organization": "Facebook", "title": "Facebook Friendships", "abstractTxt": "This dataset was created by an intern at Facebook who plotted 10 million pairs of friends on Facebook. The result is a stunning map that shows the connections between people and highlights the regions with readily available access to the internet. Africa, with limited internet access is rather dim, while China, with many internet users is dim due to the use of a popular Chinese social networking site and government restrictions.
\nFrom the creator upon refining the visualization - \"After a few minutes of rendering, the new plot appeared, and I was a bit taken aback by what I saw. The blob had turned into a surprisingly detailed map of the world. Not only were continents visible, certain international borders were apparent as well. What really struck me, though, was knowing that the lines didn't represent coasts or rivers or political borders, but real human relationships. Each line might represent a friendship made while traveling, a family member abroad, or an old college friend pulled away by the various forces of life.\"
\nFor more information on the creation of this dataset, visit here
", "dataLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/facebook/facebook.png", "format": "image/png", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=305", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/extras/facebook/tour.json", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/facebook/thumbnail_small.jpg", "isHidden": false, "weight": 10, "tags": [ "People" ] }, { "id": "INTERNAL_SOS_481_VIDEO", "organization": "Institute on the Environment at the University of Minnesota ", "title": "Eating Water: Agriculture and Climate Change (movie)", "abstractTxt": "Eating Water is a three-minute autorun film about the challenges of feeding a growing world population. Featuring researcher Kate Brauman from the Global Landscapes Initiative at the University of Minnesota, the film reveals an intriguing fact as it opens: we \"eat\" more water than we drink. The water it takes to produce our food far outstrips the water we drink and use for other purposes. The show is built around two datasets: (1) mapping the land used for farming and grazing around the world; and (2) agricultural efficiency, as measured in how much corn is produced per liter of water. Because we're already using virtually all available farmland, the challenge in the coming decades will be to feed two billion more people by 2050 on the land already used for agriculture. Climate change will challenge our ability to do that, because we don't know how rainfall patterns will be affected around the world.
\r\n\r\nEating Water is one in a series of four SOS films that use data visualizations and actual scientists to tell stories about the impacts of climate change. No other single natural factor affects Earth as much as humans now do. Separately, each film stands alone, focusing on a single area of human impact, and features a researcher working in this area. Together, the films tell a bigger story about the human-generated effects of global climate change.
\r\n\r\nThis movie is available in English and Spanish.
\r\n\r\nLength of dataset: 3:11
", "dataLink": "https://vimeo.com/343077868", "format": "video/mp4", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=481", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/extras/eating-water/tour.json", "closedCaptionLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/eating-water/eating-water.en_US.srt", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/eating-water/thumbnail_small.jpg", "isHidden": false, "weight": 10, "tags": [ "Land", "Movies", "Water" ] }, { "id": "INTERNAL_SOS_693_VIDEO", "title": "World Population (movie)", "format": "video/mp4", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=693", "dataLink": "https://vimeo.com/343084067", "closedCaptionLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/population_movie/population_movie.en_US.srt", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/extras/population_movie/tour.json", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/population_movie/thumbnail_small.jpg", "weight": 10, "isHidden": false, "tags": [ "People", "Land", "Movies" ] }, { "id": "INTERNAL_SOS_261_ONLINE", "organization": " James Hastings-Trew ", "title": "Uranus", "abstractTxt": "Uranus, the first planet to be discovered in the modern times, \nwas discovered in 1781 by William Herschel. Uranus has 27 moons, all of which were named after characters from the stories of Shakespeare and Alexander Pope. One of the \nmost unique features of Uranus is that it is essentially tipped on \nits side such that one of its poles faces the sun. Despite this \norientation, the equator is still the warmest location on the \nplanet. It is unknown how this happens because the sunward pole \nreceives the most energy from the sun. Uranus circles the sun once \nevery 84.01 Earth years.
\n\nThe atmosphere of Uranus is composed of 83% hydrogen, 15% \nhelium \nand 2% methane. Unlike Saturn and Jupiter, two other gas planets, \nit appears that Uranus does not have a rocky core. Instead, it is \nthought that Uranus' mass is evenly distributed throughout the area of \nplanet. One feature that is similar to the other gas planets is the \nfast moving winds that blow the clouds around in the atmosphere. In \nthe mid-latitudes of Uranus the winds blow in the direction of the \nplanets rotation at 90 - 360 mph (40 - 160kmh). At the equator, the \nwinds appear to blow in the opposite direction. These bands of \nopposing winds are responsible for the color variations on the \nplanet. The blue shading of Uranus is due to the methane in the \nupper atmosphere. The methane absorbs red light giving Uranus that \nbluish-green color.
", "dataLink": "https://d3sik7mbbzunjo.cloudfront.net/astronomy/uranus/original/uranus.jpg", "format": "image/jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/astronomy/uranus/original/tour.json", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=261", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/astronomy/uranus/original/thumbnail_small.jpg", "isHidden": false, "weight": 10, "tags": [ "Space" ], "celestialBody": "Uranus", "radiusMi": 15759 }, { "id": "INTERNAL_SOS_214_ONLINE", "organization": "MESSENGER", "title": "Mercury", "abstractTxt": "Temperatures vary drastically on Mercury, the closest planet to the sun. On the side that faces the sun, temperatures can reach up to 801°F, while on the other side, temperatures can drop down to -279°F, allowing for Mercury to have the most extreme temperature variations in the solar system. One reason for these temperature variations is the lack of atmosphere over Mercury to trap heat. The smallest planet in the solar system, Mercury is rocky and cratered with almost no atmosphere to serve as protection. Caloris Basin, with a diameter of over 800 miles, is Mercury’s most notable feature and is thought to have been caused by an impact early in the history of the planet.
\r\n\tMercury has not only the longest day, approximately 1407.5 hours (58.65 Earth days), but also the fastest orbit velocity at an amazing 107,088 miles per hour. Another solar system record held by Mercury is the shortest year at only 87.97 Earth days. The combination of the longest day with the shortest year means that for every two orbits that Mercury completes around the sun, it only rotates on its axis three times. The orbit of Mercury is not circular, but highly elliptical with the distance from the sun varying from 28.58 million miles at perihelion (position closest to sun) to 43.38 million miles at aphelion (position farthest from sun). This dataset was created using data from the MESSENGER mission. It is a global mosaic that covers 99.9% of Mercury's surface, and image details are available here. \r\n
", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=214", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/astronomy/mercury/oct2011/thumbnail_small.jpg", "isHidden": false, "format": "image/jpg", "dataLink": "https://d3sik7mbbzunjo.cloudfront.net/astronomy/mercury/oct2011/mercury.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/astronomy/mercury/oct2011/tour.json", "isHiddenFromVRSearch": true, "weight": 10, "tags": [ "Space" ], "celestialBody": "Mercury", "radiusMi": 1516 }, { "id": "INTERNAL_SOS_256_ONLINE", "organization": "Cassini", "title": "Titan: Saturn's Moon (colorized)", "abstractTxt": "Long ago Titan was thought to be the largest moon in the solar system. New observations have revealed that Ganymede, one of Jupiter’s moons is even larger. Part of the reason for the mix-up is the thick, dense atmosphere that surrounds Titan, obstructing surface views. Titan, like Ganymede, is larger than both Mercury and Pluto. Until recently, a clear view of the surface was not available. In late 2004 the Cassini Saturn orbiter began to study Titan, and in January of 2005, the Huygens probe actually landed on the surface and began transmitting photographs of the surface. Numerous dark areas can be seen near the North Pole are in fact seas and lakes of liquid hydrocarbons. Methane for example is 'natural gas' on the Earth, yet is liquid at Titan's temperatures. It would even be possible to sail on a boat on the lakes with a good space suit. \r\n
\r\nThe atmosphere that encircles the moon is 50% greater than that around Earth. Composed of mainly nitrogen, similar to the Earth’s atmosphere, the atmosphere of Titan also has 6% argon and some methane along with many other organic compounds. This combination of gases, combined with sunlight, has created thick smog, similar to that seen over large cities. There are also clouds of ethane and methane obstructing the view of the surface. From the Huygens probe there is still much to discover, but some initial results show "lakes" and "rivers" that are currently dried up and are mostly crater-free surfaces. At least one of the lakes has been verified to have liquid ethane at the present time. In 2009 the Cassini orbiter captured sunlight reflecting off surface, confirming the presence of liquid on Titan in the area covered with many large, lake-shaped basins. While at any given time it is usually not raining on the surface, there is some evidence of precipitation and erosion on the surface. There are also cloud formations seen in various regions that may be raining from time to time.
\r\nThere are three datasets available for Titan. This dataset is in color, with colors and some of the missing details filled in by a space artist. There is one available in black and white, as well as a black and white map with RADAR swaths from Cassini overlaid. The RADAR swaths show some of the seas, lakes and rivers of liquid hydrocarbons near the North Pole.
\r\n", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=256", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/astronomy/titan/color/thumbnail_small.jpg", "format": "image/jpg", "dataLink": "https://d3sik7mbbzunjo.cloudfront.net/astronomy/titan/color/titan.png", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/astronomy/titan/color/tour.json", "isHidden": false, "isHiddenFromVRSearch": true, "weight": 10, "tags": [ "Space" ], "celestialBody": "Titan", "radiusMi": 1599.9 }, { "id": "INTERNAL_SOS_252_ONLINE", "organization": " Cassini and Voyager Image details", "title": "Enceladus: Saturn's Moon", "abstractTxt": "Enceladus is not only Saturn’s brightest moon, but it also has the highest albedo (reflectivity) of any body in the solar system. This moon reflects almost 100% of the sunlight that hits the surface. One reason for this reflectivity is the fresh, clean ice that makes up the relatively young surface of the moon. There are at least five different terrains visible on Enceladus including craters, smooth plains, cracks, ridges, and other deformations. \n
\n\n\n\tThe chilly average temperature of -330°F would lead one to believe that this moon is composed of solid ice. However, the huge variations in the surface led scientists to believe that there is an active liquid core, with some volcanism which has resurfaced the planet. One explanation for the heat required to maintain the liquid is the tidal mechanisms exerted on the moon by Saturn and the surrounding moons, similar to the tidal forces that heat Jupiter’s moon, Io. \n
", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=252", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/astronomy/enceladus/thumbnail_small.jpg", "format": "image/jpg", "dataLink": "https://d3sik7mbbzunjo.cloudfront.net/astronomy/enceladus/enceladus.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/astronomy/enceladus/tour.json", "isHidden": false, "isHiddenFromVRSearch": true, "weight": 10, "tags": [ "Space" ], "celestialBody": "Enceladus", "radiusMi": 156.65 }, { "id": "INTERNAL_SOS_246_ONLINE", "organization": "Voyager and Galileo Image details", "title": "Europa: Jupiter's Moon", "abstractTxt": "The most interesting feature of Europa, Jupiter’s sixth moon, is the incredibly smooth surface with relatively few craters. There are only three craters that have a diameter greater than 3.1 miles. This is an incredibly small amount for the moon which is just slightly less than the size of Earth’s Moon. Scientists believe that the surface of Europa is relatively young because of that fact. Another notable feature is the basically level surface with very little change in altitude across the moon. While there is almost no elevation change on Europa to observe, there are distinct lines which encircle the moon. The latest theory is that these markings are from volcanoes or geysers. \n
\n\n\n\tEuropa is one of only five moons in the solar system known to have an atmosphere. This atmosphere is incredibly small with a pressure of only 1x10-8mb compared to the average of approximately 1000mb on Earth. An ocean that is up to 30 miles deep is thought to exist under the surface layer of Europa. Another theory regarding the distinct markings on Europa is that they are the result of the moon’s crust expanding and fracturing causing the cracks to fill in with water and freeze. \n
", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=246", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/astronomy/europa/thumbnail_small.jpg", "isHidden": false, "format": "image/jpg", "dataLink": "https://d3sik7mbbzunjo.cloudfront.net/astronomy/europa/europa.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/astronomy/europa/tour.json", "isHiddenFromVRSearch": true, "weight": 10, "tags": [ "Space" ], "celestialBody": "Europa", "radiusMi": 969.84 }, { "organization": "", "id": "INTERNAL_SOS_247_ONLINE", "title": "Ganymede: Jupiter's Moon", "abstractTxt": "\n", "boundingVariables": { "n": "90", "s": "-90", "w": "-180", "e": "180" }, "format": "image/jpg", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=247", "dataLink": "https://d3sik7mbbzunjo.cloudfront.net/astronomy/ganymede/ganymede.jpg", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/astronomy/ganymede/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/astronomy/ganymede/tour.json", "legendLink": "", "weight": 10, "isHidden": false, "celestialBody": "Ganymede", "radiusMi": 1636.8, "tags": [ "Space" ] }, { "id": "INTERNAL_SOS_244_ONLINE", "organization": "Voyager and Galileo", "title": "Io: Jupiter's Moon", "abstractTxt": "Io has often been described as looking like a pizza covered with melted cheese, tomato sauce and olives. The reason for this distinct surface is its vast number of active volcanoes. There are hundreds of volcanoes scattered over the surface of the moon, which is a bit larger than Earth’s Moon. Many of the volcanoes are still active and Voyager 1 and 2 were able to capture pictures of erupting volcanoes with plumes as tall as 190 miles. \n
\nThe path of Io around Jupiter is highly elliptical causing \nthe tidal forces exerted on the moon to be immense. The effect of this \nis that the solid body of the moon can bulge out to almost 330 feet. \nThis movement makes the moon incredibly hot, keeping the subsurface \ncrust in a liquid state. This liquid sub-layer is one of the reasons \nfor the high volcanic activity. One result of the volcanic activity is \nthat there are very few crater marks as new lava is constantly filling \nin any craters that are created. Because of this, Io has a very young \nsurface. There are three datasets available for Io. This dataset shows the \nsurface of the moon as does Io, Moon of Jupiter (USGS). Volcanoes of IO starts with the surface of Io, then \nhighlights the locations of 26 major volcanoes on Io and finally shows \nthe surface again. \n
\n", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=244", "isHidden": false, "format": "image/jpg", "dataLink": "https://d3sik7mbbzunjo.cloudfront.net/astronomy/io/original/io.jpg", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/astronomy/io/original/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/astronomy/io/original/tour.json", "isHiddenFromVRSearch": true, "weight": 10, "tags": [ "Space" ], "celestialBody": "Io", "radiusMi": 1131.9 }, { "id": "INTERNAL_SOS_409_ONLINE", "organization": "Kepler Mission", "title": "Exoplanet: Kepler-10b", "abstractTxt": "\nThe first \"rocky\" planet to be discovered by NASA's Kepler Mission, Kepler-10b is an exoplanet 1.4 times the size of our Earth. An exoplanet is any identified planet outside of our own Solar System. As of June 2013, there have been 866 exoplanets identified, located around 671 stars, nearly all within the Milky Way Galaxy. Kepler-10b has a density 4.6 times that of Earth, or similar to an iron dumbbell. This planet orbits its star, Kepler-10, once every 0.84 days (20 hours) and is 20 times closer to its star than Mercury is to our Sun. At such close range, Kepler-10b does not lie in the habitable zone, the region in which liquid water could exist on a planet's surface. Therefore, it is unlikely any life exists on its surface. The planet is also tidally locked to its parent star, meaning only one side ever faces the star.\n
\nKepler-10 was the first star discovered by the Kepler Mission that could potentially have a small planet transiting across it. This was later confirmed by observational data from the Keck Observatory in Hawaii. This artist's visualization suggests the rocky composition of Kepler-10b with no bands of gas present. Being tidally locked, the surface on the star-facing side is thought to be molten and glowing, while the surface on the side facing away from the star is be solid and rocky.\n
\nLaunched in 2009, the Kepler spacecraft measures the light output of 150,000 stars simultaneously. The data from each star are then analyzed in order to look for periodic drops in the light curve. These drops in brightness could indicate the presence of an orbiting planet passing in front of its host star, blocking some of its light. This is called a transit. Three or more transits of equal periods are needed to catalog an object as a planet candidate.\n
\n\nLearn more on the Kepler Mission website: https://kepler.nasa.gov/
", "dataLink": "https://d3sik7mbbzunjo.cloudfront.net/astronomy/kepler/kepler10b/10b.jpg", "format": "image/jpg", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=409", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/astronomy/kepler/kepler10b/tour.json", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/astronomy/kepler/kepler10b/thumbnail_small.jpg", "isHidden": false, "weight": 10, "tags": [ "Space" ], "celestialBody": "Exoplanet Kepler-10b", "radiusMi": 5819.4 }, { "title": "Pluto - Dwarf Planet", "organization": "NASA", "id": "INTERNAL_SOS_264_ONLINE", "abstractTxt": "Pluto is the brightest dwarf planet that is located in the Kuiper belt, a ring of small icy bodies outside the orbit of Neptune. Pluto was classically known as the ninth planet until 2006 when the International Astronomical Union set up new guidelines for qualifications of a planet. Pluto didn't meet all the qualifications and is now considered a dwarf planet. Pluto averages an astounding distance of 3,670,050,000 miles from the Sun. A new mission called New Horizons was launched in 2006 and flew by Pluto in July 2015, and is providing a spectacular increase inknowledge about Pluto with ongoing images and data being transmitted back to Earth expected through 2016. This view is constructed mostly from New Horizons images. This particular dataset shows a Pluto color mosaic from New Horizons spacecraft only, no hubble fill images on the backside.", "celestialBody": "Pluto", "radiusMi": 738.38, "boundingVariables": { "n": "90", "s": "-90", "w": "-180", "e": "180" }, "format": "image/jpg", "datalink": "https://d3sik7mbbzunjo.cloudfront.net/astronomy/pluto/pluto.jpg", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/astronomy/pluto/pluto_thumbnail.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/astronomy/pluto/tour.json", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=264", "isHidden": false, "weight": 10, "tags": [ "Space" ] }, { "id": "INTERNAL_SOS_248_ONLINE", "organization": "Voyager and Galileo", "title": "Callisto: Jupiter's Moon", "abstractTxt": "", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=248", "isHidden": false, "format": "image/jpg", "dataLink": "https://d3sik7mbbzunjo.cloudfront.net/astronomy/callisto/callisto.jpg", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/astronomy/callisto/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/astronomy/callisto/tour.json", "isHiddenFromVRSearch": true, "weight": 10, "tags": [ "Space" ], "celestialBody": "Callisto", "radiusMi": 1497.7 }, { "id": "INTERNAL_SOS_471_ONLINE", "organization": "Verglas Media", "title": "Our Pale Blue Dot (movie)", "abstractTxt": "This short film serves as an introduction into looking at Earth from space and it inspires us to consider the value of doing so in light of our changing climate.
\r\nAs the film opens we imagine the sense of wonder and astonishment that, decades ago, occurred each time a ground-breaking image of Earth was returned from off-world. Humanity has always gazed upward to the stars. Now, we are finally looking back. This new perspective seems to rekindle a deeper appreciation for our living and breathing planet. It is beautiful and fragile. It is home.
\r\nIn 1990, thanks to a suggestion from Carl Sagan, we have the famous Voyager 1 image of Earth; an image he later dubbed the \"Pale Blue Dot\". This image often gets visually intertwined with the Apollo 17 image from 1972, the \"Blue\r\nMarble\". Our story examines each of these images, among other famous early images of Earth from space. Ultimately we are connected to the present as we study global climate and its changes.\r\nWhile Our Pale Blue Dot offers a stroll down memory lane - yes, there are the voices of the Apollo 8 astronauts taking in their first Earth rise - there is more than sentimentality at work. We truly hope to build an appreciation for looking at the Earth from space-something many in modern society take for granted.
\r\nAnd so our film moves from single images of Earth to today's extraordinary satellite imagery. We rely daily on accurate weather forecasts via the legacy of the TIROS program. But there's more. Earth observing satellites and their continuously streaming data have provided us with decades of information about our planet's vital signs: sea ice cover, ocean temperature, greenhouse gases and\r\nvegetation - to name just a few. And what do we see?
\r\nWe see much more than a snap shot of our beloved home. We see amazing details. We see all those seemingly insignificant little things adding up to a big picture. And that big picture is of us...we humans...and our Earth. The only planet we've ever called home is changing before our eyes.
\r\nWhile our film was truly independent and not funded by NASA or NOAA, it makes significant use of many public domain photographs and data visualizations. As filmmakers, we are indebted to the scores of people and years of hard work which make these images possible.
\r\nIn the related dataset section below, we are able to highlight the Science On a Sphere datasets that we used as source material to create this movie. These could serve as a starting point to format a longer docent-led script and discussion.\r\nSource materials courtesy: NASA Goddard Space Flight Center, NASA Scientific Visualization Studio, NOAA Science On a Sphere and NOAA Visualization Lab. ISS video courtesy of the Earth Science and Remote Sensing Unit, NASA Johnson Space Center. Launch and historical footage by NASA & NOAA & JAXA.
\r\nPlease visit our website, where we will showcase much of the NASA and NOAA source content used; as well as a collection of resources to in-depth material regarding the science of climate change.
\r\nMovie length: 7:38
\r\nNOTE: This film is freely available to the entire Science On a Sphere network, however it is not in the public domain. No segment of the film may be repurposed, re-edited or distributed in any way other than its original format, and must be shown in its entirety. This version of the film is not for internet distribution.
", "dataLink": "https://vimeo.com/346957404", "format": "video/mp4", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=471", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/pale_blue_dot/thumbnail_small.jpg", "closedCaptionLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/pale_blue_dot/pale_blue_dot.en_US.srt", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/extras/pale_blue_dot/tour.json", "isHidden": false, "weight": 10, "tags": [ "Movies", "People", "Space" ] }, { "id": "INTERNAL_SOS_474_ONLINE", "organization": "Changing Ocean Research Unit, University of British Colombia, Cheung et al. 2009.", "title": "Fisheries Species Richness", "abstractTxt": "Species richness is a count of the number of different species in an ecological community,\r\nlandscape or region. Species richness is one of several measurements used by scientists to help \r\ndetermine how biologically rich and diverse a given area is. This map shows the predicted global distribution of 1066 commercially harvested marine fish and invertebrates. Areas on the map with brighter colors (orange/yellow) highlight areas with greater number of different species (higher species richness), while cooler colors (purple) areas with lower number of species (lower species richness). The map shows the highest number of different species is concentrated along the coasts. These coastal \r\nareas are also where we find our largest marine ecosystems, such as coral reefs, mangroves and \r\nmarshes, which provide food and shelter for economically, culturally, and ecologically important marine species. This stresses the importance of protecting critical habitat along our coasts for marine life and fisheries.
\r\n\r\nA noticeably rich area on the map is the large area between Australia and Vietnam, which encompasses the Coral Triangle. The Coral Triangle is one of the world's most important marine hotspots for \r\nbiodiversity and one of the most productive fishing areas in the world. Many nations in this region depend heavily on fisheries for their livelihood and economy, with fisheries accounting for over 90% of protein source in some countries. This dataset includes a triangle layer a presenter can turn on/off that highlights the Coral Triangle area.
\r\n\r\nData Source and Analysis: This dataset came from a 2009 peer-reviewed publication: Cheung et al., 2009. The map was created by overlaying predicted species distribution maps of 1066 commercially exploited fisheries species on a 30' by 30' grid world map. These 1066 species represent a wide range of taxonomic groups and account for 70% of the total United Nations Food and Agriculture Organization (FAO) reported global fisheries landings from 2000-2004.
", "startTime": "2000-01-01T00:00:00", "endTime": "2004-12-31T00:00:00", "dataLink": "https://d3sik7mbbzunjo.cloudfront.net/oceans/species_richness/fisheries.jpg", "format": "image/jpg", "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/oceans/species_richness/colorbar-speciesrichness.png", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=474", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/oceans/species_richness/tour.json", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/oceans/species_richness/thumbnail_small.jpg", "isHidden": false, "weight": 10, "tags": [ "Water" ] }, { "id": "INTERNAL_SOS_145_ONLINE", "organization": "National Center for Ecological Analysis and Synthesis", "title": "Shipping Routes - One Year", "abstractTxt": "There were more than 30,000 merchant ships greater than 1000 gross tonnage at sea in 2005. The World Meteorological Organization has a Voluntary Observing Ships Scheme that equips ships with weather instruments in order to provide observations for weather models and forecasters. In addition to observing the weather, the location of the ships is also recorded through GPS. From October 2004 through October of 2005 1,189,127 mobile ship data points were collected from 3,374 commercial and research vessels, which is about 11% of all ships at sea in 2005. By connecting the data points for each vessel, shipping routes over the course of one year were plotted. The National Center for Ecological Analysis and Synthesis compiled this data to include in their Global Map of Human Impacts to Marine Ecosystems.
\nAs seen in this dataset, there are several very popular shipping routes around the world. The density of ship tracks in any location ranges from 0 to 1,158 on this map, represented from green for low density to red for high density. Some of the most populated shipping routes cross through the Panama Canal, the Suez Canal, the Strait of Malacca , and the Strait of Gibraltar. Because only 11% of ships are represented in this dataset, the density of ship traffic is not fully portrayed and is biased to the types of ships that volunteered for the program. The map creators suggest that the high traffic locations may be strongly underestimated. In spite of this, there are enough data points to highlight some of the busiest shipping routes. There is also a version of this dataset with the major canals and straits labeled.
", "startTime": "2004-10-01T00:00:00", "endTime": "2005-10-31T00:00:00", "dataLink": "https://d3sik7mbbzunjo.cloudfront.net/oceans/shipping/shipping.png", "format": "image/png", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=145", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/oceans/shipping/tour.json", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/oceans/shipping/thumbnail_small.jpg", "isHidden": false, "weight": 10, "tags": [ "Water" ] }, { "id": "INTERNAL_SOS_427_ONLINE", "localizationID": "INTERNAL_SOS_427_ONLINE", "organization": "NOAA National Geophysical Data Center", "title": "Earth's Magnetic Declination", "abstractTxt": "Earth is like a giant magnet with a North and South Pole. However, the magnetic North and South Pole are not aligned with the Geographic North and South Pole. The Geographic North Pole is defined by the latitude 90° N and is the axis of the Earth's rotation. The Magnetic North Pole is where the Earth's magnetic field points vertically downward. The Earth creates its own magnetic field from the electric currents created in the liquid iron-nickel core.
\r\nCompass needles point in the direction of the magnetic field lines, which is generally different from the direction to the Geographic North Pole. The compass pointing direction can also differ from the direction to the Magnetic North Pole since the magnetic field lines are not just circles connecting the magnetic poles. This dataset shows lines of equal magnetic declination (isogonic lines) measured in degrees east (positive) or west (negative) of True North. The green line is where the declination equals zero and the direction of True North and Magnetic North are equal (agonic line). The Magnetic North and South Poles are indicated by the green circles. It is important to know the magnetic declination when using a compass to navigate so that the direction of True North can be determined. Since the 1970's, the movement of the Magnetic North Pole has accelerated, which is noticeable in this dataset.
\r\nIn this figure and animation, the magnetic field from 1590 to 1890 is given by the GUFM-1 model of Jackson et al. (2000), while the field from 1900 to 2015 is given by the 11th generation of the International Geomagnetic Reference Field. Between 1890 and 1900, a smooth transition was imposed between the models. This visualization uses a transverse aspect of the Plate Carée projection to minimize distortion near the poles.\r\n
\r\n", "startTime": "1590-01-01T00:00:00", "endTime": "2015-01-01T00:00:00", "period": "P1Y", "dataLink": "https://vimeo.com/350198926", "format": "video/mp4", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/land/magnetic_declination/tour.json", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=427", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/land/magnetic_declination/thumbnail_small.jpg", "isHidden": false, "weight": 10, "tags": [ "Land", "Space" ] }, { "id": "INTERNAL_SOS_676_ONLINE", "organization": "NASA Goddard", "title": "ClimateBits: Phytoplankton (movie)", "abstractTxt": "Phytoplankton are microscopic organisms that form the base of the marine food web and are responsible for about half of the oxygen on Earth. Although microscopic, their abundance can be measured by Earth observing satellites because their green pigment, chlorophyll, changes the color of the water. From measurements collected at sea and analyzed for their biological and optical properties, we know there are many thousands of kinds of phytoplankton. Computer models that include ocean biology and physics help us estimate where different phytoplankton types dominate, which affect fisheries and how much atmospheric carbon the ocean can absorb. Future satellites are being designed to monitor global phytoplankton diversity to tell us more about these organisms and how they impact our ocean\u2019s health and our climate.", "dataLink": "https://vimeo.com/350206443", "format": "video/mp4", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=676", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/climatebits/phytoplankton/thumbnail_small.jpg", "closedCaptionLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/climatebits/phytoplankton/phytoplankton.en_US.srt", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/extras/climatebits/phytoplankton/tour.json", "isHidden": false, "weight": 10, "tags": [ "Movies", "Water" ] }, { "id": "INTERNAL_SOS_649_ONLINE", "organization": "NASA Goddard", "title": "ClimateBits: Albedo (movie)", "abstractTxt": "", "dataLink": "https://vimeo.com/350209209", "format": "video/mp4", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=649", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/climatebits/albedo/thumbnail_small.jpg", "closedCaptionLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/climatebits/albedo/albedo.en_US.srt", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/extras/climatebits/albedo/tour.json", "isHidden": false, "weight": 10, "tags": [ "Movies", "Water" ] }, { "id": "INTERNAL_SOS_165", "localizationID": "INTERNAL_SOS_165", "organization": "NOAA Global Ocean Monitoring and Observing", "title": "Ocean Observing: Buoys, Floats and Moorings", "abstractTxt": "", "startTime": "", "endTime": "", "dataLink": "https://d3sik7mbbzunjo.cloudfront.net/oceans/buoy_locations/buoy.png", "format": "image/png", "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/oceans/buoy_locations/Legend.png", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=165", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/oceans/buoy_locations/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/oceans/buoy_locations/tour.json", "isHidden": false, "weight": 10, "tags": [ "Water", "People" ] }, { "id": "INTERNAL_SOS_187_ONLINE", "localizationID": "INTERNAL_SOS_187_ONLINE", "organization": "National Snow and Ice Data Center ", "title": "Sea Ice Extent - 1978 - Present", "abstractTxt": "", "startTime": "1978-10-21T00:00:00", "endTime": "2025-08-09T00:00:00", "period": "PT10D", "dataLink": "https://vimeo.com/1111450510", "format": "video/mp4", "probingInfo": { "units": "%", "minVal": 0, "maxVal": 100, "minPos": { "x": 0, "y": 1, "XUnits": "Pixels", "YUnits": "Pixels" }, "maxPos": { "x": 1, "y": 1, "XUnits": "Pixels", "YUnits": "Pixels" } }, "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=187", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/oceans/WeeklySeaIce/10day_seaice/thumbnail_small.jpg", "colorTableLink": "https://d3sik7mbbzunjo.cloudfront.net/oceans/WeeklySeaIce/10day_seaice/probe-gradient.png", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/oceans/WeeklySeaIce/10day_seaice/tour.json", "isHidden": true, "weight": 10, "tags": [ "Water", "Snow and Ice" ] }, { "id": "INTERNAL_SOS_499_ONLINE", "localizationID": "INTERNAL_SOS_499_ONLINE", "organization": "NASA Goddard Space Flight Center", "title": "Carbon Dioxide Concentration: GEOS-5 Model", "abstractTxt": "Models create a dynamic portrait of the Earth through numerical experiments that simulate our current knowledge of the dynamical and physical processes governing weather and climate variability. This new simulation of carbon dioxide in Earth's atmosphere provides an ultra-high-resolution look at how the key greenhouse gas moves around the globe and fluctuates in volume throughout the year. These three close-up views show how local geography affects the transport of carbon dioxide in the atmosphere.
\r\nThe visualization is a product of a NASA computer model called GEOS-5, created by scientists with the Global Modeling and Assimilation Office at NASA's Goddard Space Flight Center, Greenbelt, Maryland. This particular simulation has about 64 times greater resolution than most global climate models. In particular, the simulation is called a Nature Run. In this kind of simulation, real data on emissions and atmospheric conditions is ingested by the model, which is then left to run on its own to simulate the behavior of Earth's atmosphere for a two-year period - in this case, May 2005 to June 2007.
\r\nThe colors represent a range of carbon dioxide concentrations, from 375 (dark blue) to 395 (light purple) parts per million. The red represents about 385 parts per million. White plumes represent carbon monoxide emissions.
\r\n\r\nNorth American Emissions: One of the visually striking things about this animation is how much local weather patterns affect carbon dioxide in the atmosphere. In this close-up view of North America - from Feb. 1, 2006 to Mar. 1, 2006 in the simulation - you can see the major emissions sources in the U.S. Midwest and along the East Coast. As the carbon dioxide is emitted, westerly winds created by the warm currents of the Gulf Stream carry the greenhouse gas eastward over the Atlantic Ocean.
\r\n\r\nAsia and the Himalayas: In this view of Asia, two things stand out: the major emissions sources of the industrialized Asian countries, and the natural barrier of the Himalayas. As carbon dioxide concentrations swirl and move eastward, the Himalayas - the crescent-shaped mountain range just north of India - redirect winds. This video shows Feb. 1, 2006 to Mar. 1, 2006 from the simulation.
\r\nAfrican fires: While the previous movies showed regions of major man-made emissions, this close-up shows the emission of carbon dioxide - and carbon monoxide, the plumes of white - from fires in southern Africa. This video shows Aug. 1, 2006 to Sept. 1, 2006, a period of seasonal burning in this region.\r\n\r\n
For more information, click here.\r\n\r\n", "startTime": "2006-01-01T00:00:00", "endTime": "2006-12-31T22:00:00", "period": "P1H", "dataLink": "https://vimeo.com/350820331", "format": "video/mp4", "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/atmosphere/nccs_models/carbon/colorbar.png", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=499", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/atmosphere/nccs_models/carbon/tour.json", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/atmosphere/nccs_models/carbon/thumbnail_small.jpg", "isHidden": false, "weight": 10, "tags": [ "Air", "Land", "People" ] }, { "id": "INTERNAL_SOS_438_VIDEO", "localizationID": "INTERNAL_SOS_438_VIDEO", "organization": "NOAA GFDL ", "title": "Climate Model: Temperature Change (RCP 8.5) - 2006 - 2100", "abstractTxt": "
Climate models are used for a variety of purposes from the study of dynamics of the weather and climate system to projections of future climate.
\r\n\r\nNOAA's Geophysical Fluid Dynamics Laboratory has created several ocean-atmosphere coupled models to predict how greenhouse gas emissions following different population, economic, and energy-use projections may affect the planet.
\r\n\r\n\"Representative Concentration Pathways (RCPs) are not new, fully integrated scenarios (i.e., they are not a complete package of socioeconomic, emissions and climate projections). They are consistent sets of projections of only the components of radiative forcing that are meant to serve as input for climate modeling, pattern scaling and atmospheric chemistry modeling,\" according to the RCP Database.
\r\n\r\nGlobal climate models represent the planet as millions of grid boxes and then solve mathematical equations to calculate how energy is transferred between those boxes using the laws of thermodynamics. If done correctly, these models of how energy is cycled through all parts of the planet can be used to estimate dozens of environmental variables (winds, temperature, moisture, etc.). The models are tested by simulating historical conditions and then matching the results to our historical observational records. If the models can adequately recreate the past, they are then run forward in time to predict what may happen in the future.
\r\n\r\nShown here are the predicted surface temperatures under the RCP 8.5 emissions scenario using GFDL's CM3 model. The CM3 is just one of many climate models that are analyzed to make predictions about our changing climate. In the RCP 8.5 emissions scenario the radiative forcing level reaches 8.5 W/m2 characterized by increasing greenhouse gas emissions over time representative for scenarios in the literature leading to high greenhouse gas concentration levels.
\r\nIn this imagery, if temperature is colored red, it is predicted to be higher than the 20th century average; if it is blue, then it is predicted to be lower than average.\r\n
\r\nFor more information on data used click here.", "startTime": "2006-01-01T00:00:00", "endTime": "2100-01-01T00:00:00", "period": "P1Y", "dataLink": "https://vimeo.com/344902013", "format": "video/mp4", "probingInfo": { "units": "F", "minVal": -11, "maxVal": 11, "minPos": { "x": 510, "y": 120, "XUnits": "Pixels", "YUnits": "Pixels" }, "maxPos": { "x": 42, "y": 120, "XUnits": "Pixels", "YUnits": "Pixels" } }, "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/models/rcp/ga85/ANOM.colorbar.png", "colorTableLink": "https://d3sik7mbbzunjo.cloudfront.net/models/rcp/ga85/ANOM.colorbar.png", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=438", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/models/rcp/ga85/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/models/rcp/ga85/tour.json", "isHidden": true, "weight": 10, "tags": [ "Air" ] }, { "id": "INTERNAL_SOS_436_VIDEO", "localizationID": "INTERNAL_SOS_436_VIDEO", "organization": "NOAA GFDL ", "title": "Climate Model: Temperature Change (RCP 2.6) - 2006 - 2100", "abstractTxt": "
Climate models are used for a variety of purposes from the study of dynamics of the weather and climate system to projections of future climate.
\r\n\r\nNOAA's Geophysical Fluid Dynamics Laboratory has created several ocean-atmosphere coupled models to predict how greenhouse gas emissions following different population, economic, and energy-use projections may affect the planet.
\r\n\r\n\"Representative Concentration Pathways (RCPs) are not new, fully integrated scenarios (i.e., they are not a complete package of socioeconomic, emissions and climate projections). They are consistent sets of projections of only the components of radiative forcing that are meant to serve as input for climate modeling, pattern scaling and atmospheric chemistry modeling,\" according to the RCP Database.
\r\n\r\nGlobal climate models represent the planet as millions of grid boxes and then solve mathematical equations to calculate how energy is transferred between those boxes using the laws of thermodynamics. If done correctly, these models of how energy is cycled through all parts of the planet can be used to estimate dozens of environmental variables (winds, temperature, moisture, etc.). The models are tested by simulating historical conditions and then matching the results to our historical observational records. If the models can adequately recreate the past, they are then run forward in time to predict what may happen in the future.
\r\n\r\nShown here are the predicted surface temperatures under the RCP 2.6 emissions scenario using GFDL's CM3 model. The CM3 is just one of many climate models that are analyzed to make predictions about our changing climate. The RCP 2.6 scenario is a so-called \"peak\" scenario, which means the radiative forcing level reaches 3.1 W/m2 by mid-century but returns to 2.6 W/m2 by 2100.
\r\nIn this imagery, if temperature is colored red, it is predicted to be higher than the 20th century average; if it is blue, then it is predicted to be lower than average.\r\n
\r\nFor more information on data used click here.", "startTime": "2006-01-01T00:00:00", "endTime": "2100-01-01T00:00:00", "period": "P1Y", "dataLink": "https://vimeo.com/344900918", "format": "video/mp4", "probingInfo": { "units": "F", "minVal": -11, "maxVal": 11, "minPos": { "x": 510, "y": 120, "XUnits": "Pixels", "YUnits": "Pixels" }, "maxPos": { "x": 42, "y": 120, "XUnits": "Pixels", "YUnits": "Pixels" } }, "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/models/rcp/ga26/ANOM.colorbar.png", "colorTableLink": "https://d3sik7mbbzunjo.cloudfront.net/models/rcp/ga26/ANOM.colorbar.png", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=436", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/models/rcp/ga26/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/models/rcp/ga26/tour.json", "isHidden": true, "weight": 10, "tags": [ "Air" ] }, { "id": "INTERNAL_SOS_SSP_GA_45", "localizationID": "INTERNAL_SOS_SSP_GA_45", "organization": "NOAA GFDL ", "title": "Climate Model - Air Temperature Change: SSP2 (Moderate)", "startTime": "2015-12-31T00:00:00", "endTime": "2100-12-31T00:00:00", "period": "P1Y", "dataLink": "https://vimeo.com/683464688", "format": "video/mp4", "probingInfo": { "units": "F", "minVal": -11, "maxVal": 11, "minPos": { "x": 66, "y": 82, "XUnits": "Pixels", "YUnits": "Pixels" }, "maxPos": { "x": 631, "y": 82, "XUnits": "Pixels", "YUnits": "Pixels" } }, "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/models/ssp/air_temp/45/GA.SOS.colorbar.jpg", "colorTableLink": "https://d3sik7mbbzunjo.cloudfront.net/models/ssp/air_temp/45/GA.SOS.colorbar.jpg", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=719", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/models/ssp/air_temp/45/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/models/ssp/air_temp/45/tour.json", "isHidden": false, "weight": 10, "tags": [ "Air", "People" ] }, { "id": "INTERNAL_SOS_SSP_GA_85", "localizationID": "INTERNAL_SOS_SSP_GA_85", "organization": "NOAA GFDL ", "title": "Climate Model - Air Temperature Change: SSP5 (Very High)", "startTime": "2015-12-31T00:00:00", "endTime": "2100-12-31T00:00:00", "period": "P1Y", "dataLink": "https://vimeo.com/683464390", "format": "video/mp4", "probingInfo": { "units": "F", "minVal": -11, "maxVal": 11, "minPos": { "x": 66, "y": 82, "XUnits": "Pixels", "YUnits": "Pixels" }, "maxPos": { "x": 631, "y": 82, "XUnits": "Pixels", "YUnits": "Pixels" } }, "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/models/ssp/air_temp/85/GA.SOS.colorbar.jpg", "colorTableLink": "https://d3sik7mbbzunjo.cloudfront.net/models/ssp/air_temp/85/GA.SOS.colorbar.jpg", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=718", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/models/ssp/air_temp/85/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/models/ssp/air_temp/85/tour.json", "isHidden": false, "weight": 10, "tags": [ "Air", "People" ] }, { "id": "INTERNAL_SOS_SSP_GA_19", "localizationID": "INTERNAL_SOS_SSP_GA_19", "organization": "NOAA GFDL ", "title": "Climate Model - Air Temperature Change: SSP1 (Low)", "startTime": "2015-12-31T00:00:00", "endTime": "2100-12-31T00:00:00", "period": "P1Y", "dataLink": "https://vimeo.com/683464743", "format": "video/mp4", "probingInfo": { "units": "F", "minVal": -11, "maxVal": 11, "minPos": { "x": 66, "y": 82, "XUnits": "Pixels", "YUnits": "Pixels" }, "maxPos": { "x": 631, "y": 82, "XUnits": "Pixels", "YUnits": "Pixels" } }, "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/models/ssp/air_temp/19/GA.SOS.colorbar.jpg", "colorTableLink": "https://d3sik7mbbzunjo.cloudfront.net/models/ssp/air_temp/19/GA.SOS.colorbar.jpg", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=7730", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/models/ssp/air_temp/19/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/models/ssp/air_temp/19/tour.json", "isHidden": false, "weight": 10, "tags": [ "Air", "People" ] }, { "id": "INTERNAL_SOS_SSP_GP_85", "localizationID": "INTERNAL_SOS_SSP_GP_85", "organization": "NOAA GFDL ", "title": "Climate Model - Precipitation Change: SSP5 (Very High)", "startTime": "2015-12-31T00:00:00", "endTime": "2100-12-31T00:00:00", "period": "P1Y", "dataLink": "https://vimeo.com/683464132", "format": "video/mp4", "probingInfo": { "units": "cm", "minVal": -350, "maxVal": 350, "minPos": { "x": 144, "y": 96, "XUnits": "Pixels", "YUnits": "Pixels" }, "maxPos": { "x": 625, "y": 96, "XUnits": "Pixels", "YUnits": "Pixels" } }, "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/models/ssp/precip/85/GP.SOS.colorbar.jpg", "colorTableLink": "https://d3sik7mbbzunjo.cloudfront.net/models/ssp/precip/85/GP.SOS.colorbar.jpg", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=720", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/models/ssp/precip/85/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/models/ssp/precip/85/tour.json", "isHidden": false, "weight": 10, "tags": [ "Air", "People", "Water" ] }, { "id": "INTERNAL_SOS_SSP_GP_45", "localizationID": "INTERNAL_SOS_SSP_GP_45", "organization": "NOAA GFDL ", "title": "Climate Model - Precipitation Change: SSP2 (Moderate)", "startTime": "2015-12-31T00:00:00", "endTime": "2100-12-31T00:00:00", "period": "P1Y", "dataLink": "https://vimeo.com/683464163", "format": "video/mp4", "probingInfo": { "units": "cm", "minVal": -350, "maxVal": 350, "minPos": { "x": 144, "y": 96, "XUnits": "Pixels", "YUnits": "Pixels" }, "maxPos": { "x": 625, "y": 96, "XUnits": "Pixels", "YUnits": "Pixels" } }, "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/models/ssp/precip/45/GP.SOS.colorbar.jpg", "colorTableLink": "https://d3sik7mbbzunjo.cloudfront.net/models/ssp/precip/45/GP.SOS.colorbar.jpg", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=721", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/models/ssp/precip/45/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/models/ssp/precip/45/tour.json", "isHidden": false, "weight": 10, "tags": [ "Air", "People", "Water" ] }, { "id": "INTERNAL_SOS_SSP_GP_19", "localizationID": "INTERNAL_SOS_SSP_GP_19", "organization": "NOAA GFDL ", "title": "Climate Model - Precipitation Change: SSP1 (Low)", "startTime": "2015-12-31T00:00:00", "endTime": "2100-12-31T00:00:00", "period": "P1Y", "dataLink": "https://vimeo.com/683464251", "format": "video/mp4", "probingInfo": { "units": "cm", "minVal": -350, "maxVal": 350, "minPos": { "x": 144, "y": 96, "XUnits": "Pixels", "YUnits": "Pixels" }, "maxPos": { "x": 625, "y": 96, "XUnits": "Pixels", "YUnits": "Pixels" } }, "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/models/ssp/precip/19/GP.SOS.colorbar.jpg", "colorTableLink": "https://d3sik7mbbzunjo.cloudfront.net/models/ssp/precip/19/GP.SOS.colorbar.jpg", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=729", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/models/ssp/precip/19/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/models/ssp/precip/19/tour.json", "isHidden": false, "weight": 10, "tags": [ "Air", "People", "Water" ] }, { "id": "INTERNAL_SOS_SSP_GS_45", "localizationID": "INTERNAL_SOS_SSP_GS_45", "organization": "NOAA GFDL ", "title": "Climate Model - Sea Surface Change: SSP2 (Moderate)", "startTime": "2015-12-31T00:00:00", "endTime": "2100-12-31T00:00:00", "period": "P1Y", "dataLink": "https://vimeo.com/683462871", "format": "video/mp4", "probingInfo": { "units": "F", "minVal": -11, "maxVal": 11, "minPos": { "x": 66, "y": 82, "XUnits": "Pixels", "YUnits": "Pixels" }, "maxPos": { "x": 631, "y": 82, "XUnits": "Pixels", "YUnits": "Pixels" } }, "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/models/ssp/sst/45/GS.SOS.colorbar.jpg", "colorTableLink": "https://d3sik7mbbzunjo.cloudfront.net/models/ssp/sst/45/GS.SOS.colorbar.jpg", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=724", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/models/ssp/sst/45/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/models/ssp/sst/45/tour.json", "isHidden": false, "weight": 10, "tags": [ "People", "Water" ] }, { "id": "INTERNAL_SOS_SSP_GS_85", "localizationID": "INTERNAL_SOS_SSP_GS_85", "organization": "NOAA GFDL ", "title": "Climate Model - Sea Surface Change: SSP5 (Very High)", "startTime": "2015-12-31T00:00:00", "endTime": "2100-12-31T00:00:00", "period": "P1Y", "dataLink": "https://vimeo.com/683462726", "format": "video/mp4", "probingInfo": { "units": "F", "minVal": -11, "maxVal": 11, "minPos": { "x": 66, "y": 82, "XUnits": "Pixels", "YUnits": "Pixels" }, "maxPos": { "x": 631, "y": 82, "XUnits": "Pixels", "YUnits": "Pixels" } }, "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/models/ssp/sst/85/GS.SOS.colorbar.jpg", "colorTableLink": "https://d3sik7mbbzunjo.cloudfront.net/models/ssp/sst/85/GS.SOS.colorbar.jpg", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=725", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/models/ssp/sst/85/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/models/ssp/sst/85/tour.json", "isHidden": false, "weight": 10, "tags": [ "People", "Water" ] }, { "id": "INTERNAL_SOS_SSP_GS_19", "localizationID": "INTERNAL_SOS_SSP_GS_19", "organization": "NOAA GFDL ", "title": "Climate Model - Sea Surface Change: SSP1 (Low)", "startTime": "2015-12-31T00:00:00", "endTime": "2100-12-31T00:00:00", "period": "P1Y", "dataLink": "https://vimeo.com/683462644", "format": "video/mp4", "probingInfo": { "units": "F", "minVal": -11, "maxVal": 11, "minPos": { "x": 66, "y": 82, "XUnits": "Pixels", "YUnits": "Pixels" }, "maxPos": { "x": 631, "y": 82, "XUnits": "Pixels", "YUnits": "Pixels" } }, "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/models/ssp/sst/19/GS.SOS.colorbar.jpg", "colorTableLink": "https://d3sik7mbbzunjo.cloudfront.net/models/ssp/sst/19/GS.SOS.colorbar.jpg", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=727", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/models/ssp/sst/19/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/models/ssp/sst/19/tour.json", "isHidden": false, "weight": 10, "tags": [ "People", "Water" ] }, { "id": "INTERNAL_SOS_SSP_GI_45", "localizationID": "INTERNAL_SOS_SSP_GI_45", "organization": "NOAA GFDL ", "title": "Climate Model - Sea Ice Concentration: SSP2 (Moderate)", "startTime": "2015-12-31T00:00:00", "endTime": "2100-12-31T00:00:00", "period": "P1Y", "dataLink": "https://vimeo.com/683463225", "format": "video/mp4", "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/models/ssp/sea_ice/45/GI.SOS.colorbar.png", "colorTableLink": "", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=722", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/models/ssp/sea_ice/45/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/models/ssp/sea_ice/45/tour.json", "isHidden": false, "weight": 10, "tags": [ "Snow and Ice", "People" ] }, { "id": "INTERNAL_SOS_SSP_GI_85", "localizationID": "INTERNAL_SOS_SSP_GI_85", "organization": "NOAA GFDL ", "title": "Climate Model - Sea Ice Concentration: SSP5 (Very High)", "startTime": "2015-12-31T00:00:00", "endTime": "2100-12-31T00:00:00", "period": "P1Y", "dataLink": "https://vimeo.com/683463006", "format": "video/mp4", "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/models/ssp/sea_ice/85/GI.SOS.colorbar.png", "colorTableLink": "", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=723", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/models/ssp/sea_ice/85/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/models/ssp/sea_ice/85/tour.json", "isHidden": false, "weight": 10, "tags": [ "Snow and Ice", "People" ] }, { "id": "INTERNAL_SOS_SSP_GI_19", "localizationID": "INTERNAL_SOS_SSP_GI_19", "organization": "NOAA GFDL ", "title": "Climate Model - Sea Ice Concentration: SSP1 (Low)", "startTime": "2015-12-31T00:00:00", "endTime": "2100-12-31T00:00:00", "period": "P1Y", "dataLink": "https://vimeo.com/683463115", "format": "video/mp4", "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/models/ssp/sea_ice/19/GI.SOS.colorbar.png", "colorTableLink": "", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=728", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/models/ssp/sea_ice/19/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/models/ssp/sea_ice/19/tour.json", "isHidden": false, "weight": 10, "tags": [ "Snow and Ice", "People" ] }, { "id": "INTERNAL_SOS_587_ONLINE", "localizationID": "INTERNAL_SOS_587_ONLINE", "organization": "NOAA GFDL Earth System Model (ESM2M)", "title": "Ocean-Atmosphere CO2 Exchange", "abstractTxt": "
Ocean acidification is an often overlooked consequence of humankind's release of carbon dioxide emissions into the atmosphere from fossil fuel burning. Excess carbon dioxide enters the ocean and reacts with water to form carbonic acid, which decreases ocean pH (i.e., makes seawater less basic), and lowers carbonate ion concentrations. Organisms such as corals, clams, oysters, and some plankton use carbonate ions to create their shells and skeletons. Decreases in carbonate ion concentration will make it difficult for these creatures to form hard structures, particularly for juveniles. Ocean acidification may cause some organisms to die, reproduce less successfully, or leave an area. Other organisms such as seagrass and some plankton species may do better in oceans affected by ocean acidification because they use carbon dioxide to photosynthesize, but do not require carbonate ions to survive. Ocean ecosystem diversity and ecosystem services may therefore change dramatically from ocean acidification.
\r\n\r\nThis datasets shows computer model simulations of surface ocean aragonite saturation state from 1861 to 2100, based on historical data and future projections of carbon dioxide emissions, with continents and coral reefs in purple marked. Aragonite saturation state is commonly used to track ocean acidification because it is a measure of carbonate ion concentration. Aragonite is one of the more soluble forms of calcium carbonate and is widely used by marine calcifiers (organisms with calcium carbonate structures). Corals and other calcifiers are more likely to survive and reproduce when the saturation state is greater than three. When aragonite saturation state falls below 3, these organisms become stressed, and when saturation state is less than 1, shells and other aragonite structures begin to dissolve. The predicted pH decrease of approximately 0.3 units during the 21st century would be a greater change than possibly at any time in the last 300 million years.
\r\n\r\nThe model simulation is driven with atmospheric emissions based on records of atmospheric carbon dioxide levels for past dates, and the CMIP5 IPCC RCP 8.5 scenario for future dates (approx. 950 ppm atmospheric CO2 by 2100).
", "startTime": "1861-01-01T00:00:00", "endTime": "2100-01-01T00:00:00", "period": "P1Y", "dataLink": "https://vimeo.com/351062298", "format": "video/mp4", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/oceans/ocean_acid/co2_flux/tour.json", "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/oceans/ocean_acid/co2_flux/colorbar.png", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=173", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/oceans/ocean_acid/co2_flux/thumbnail_small.jpg", "isHidden": false, "weight": 10, "tags": [ "Water" ] }, { "id": "INTERNAL_SOS_6_ONLINE", "organization": "", "title": "Lightning Flash Rate", "abstractTxt": "Typically, more than 2,000 thunderstorms are active throughout the world at a given moment, producing on the order of 100 flashes per second. NASA has two different sensors on satellites that measuring flash frequency, the Optical Transient Detector, OTD, and the Lightning Imaging Sensor, LIS. Data from the OTD from 1995 - 2000 and the LIS from 1998 - 2005 has been combined and averaged to create an average annual lightning flash rate map. 11 year of data is included to remove any anomalies that might be present in just one year. The color variations in the map display the average annual number of lightning flashes per square kilometer.", "dataLink": "https://d3sik7mbbzunjo.cloudfront.net/atmosphere/lightning/lightning.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/atmosphere/lightning/tour.json", "format": "image/jpg", "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/atmosphere/lightning/colorbar.jpg", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=6", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/atmosphere/lightning/thumbnail_small.jpg", "isHidden": false, "weight": 10, "tags": [ "Air" ] }, { "id": "INTERNAL_SOS_500_ONLINE", "localizationID": "INTERNAL_SOS_500_ONLINE", "organization": "NOAA FIM Model", "title": "Wind Streamers - FIM Forecast Model", "abstractTxt": "\r\nMeteorologists use many tools to predict the weather. They use past data such as temperature observations, real-time data such as radar and satellite images,\r\nand models that look into the future. Many different parameters are plotted using the numerical forecast models, which are generated using computers. The models consist\r\nof numerical equations which use current conditions as the inputs. The resulting outputs are forecasts for what is likely to happen in the future, based on those initial\r\nconditions. There are many different models that all attempt to do the same thing. The Flow Following Finite Volume Icosahedral Model (FIM) is unique because it uses an\r\nicosahedral grid rather than a grid of the latitude and longitude lines like most weather models. The icosahedral grid is mostly hexagons except for 12 pentagons\r\n(think of a soccer ball).
\r\n\r\n\r\nThe moving tracers show the 250mb (millibar) wind trajectories over the preceding 12 hours. These tracks evolve during the model forecast run showing the movement of weather\r\nsystems. The growth of each tracer shows the trajectory one would follow if riding in a balloon held at the 250mb pressure level. 250mb means we are located\r\nat about 35000 feet high in the atmosphere, where the air pressure is about 250mb. This level is useful to look at to help tell the direction\r\nand speed that storm systems will move. The core of the jet stream can be seen at this level. Patterns of troughs and ridges which play a huge part in the weather can be seen clearly as the tracers move. Troughs open up towards the poles and\r\nrepresent areas of stormy weather, especially on the east sides. West sides of troughs (in the mid-latitudes) tend to have colder weather. Ridges are open towards the equator and\r\nrepresent areas of calmer and warmer weather. This dataset projects out 6 days from the time the model was started. Model updates are available every 24 hours.
\r\n\r\nThe Flow Following Finite Volume Icosahedral Model (FIM) was developed by NOAA to produce weather forecasts. In fact, weather forecasts from the FIM model are available for SOS here.
\r\n", "startTime": "2019-06-09T01:00:00", "endTime": "2019-06-15T01:00:00", "period": "PT15M", "dataLink": "https://vimeo.com/351417490", "format": "video/mp4", "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/atmosphere/fimwind/colorbar.png", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/atmosphere/fimwind/tour.json", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=500", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/atmosphere/fimwind/thumbnail_small.jpg", "isHidden": false, "weight": 10, "tags": [ "Air" ] }, { "id": "INTERNAL_SOS_371_ONLINE", "localizationID": "INTERNAL_SOS_371_ONLINE", "organization": "NASA GSFC", "title": "Winds: GEOS-5 Model", "abstractTxt": "Models create a dynamic portrait of the Earth through numerical experiments that simulate our current knowledge of the dynamical and physical processes governing weather and climate variability. The simulation visualized here captures the speed of winds at the tropopause, about 6-9 miles above the Earth’s surface during the period September 1, 2006 to March 17, 2007. Such simulations allow scientists to view the intensity and turbulence of the polar and sub-tropic jet streams, which carry weather around the globe. Red, orange and yellow are used for the fastest moving air.
\nJet streams are the major means of transport for weather systems. A jet stream is an area of strong winds ranging from 120-250 mph that can be thousands of miles long, a couple of hundred miles across and a few miles deep. Jet streams usually sit at the boundary between the troposphere and the stratosphere at a level called the tropopause. This means most jet streams are about 6-9 miles off the ground.
\nThe higher latitude polar jet stream tends to be stronger than it's lower latitude subtropical jet stream neighbor. During the winter months, the northern hemispheric polar jet moves equatorially bringing polar cold fronts to lower latitudes. During the summer as the cold air retreats, it moves poleward. In this dataset, you can start to see the northern polar jet plunging down deeper into the U.S. The Antarctic Polar Vortex encircles the southernmost continent completely and acts as a buffer against warm air.
\nThe simulation, which has a 10 kilometer resolution per grid cell, used the Goddard Earth Observing System Model, Version 5 (GEOS-5) and the Goddard Chemistry Aerosol Radiation and Transport (GOCART) Model. It ran on 3,750 processors of the Discover supercomputer at the NASA Center for Climate Simulation.
\nGEOS-5 development is funded by NASA’s Modeling, Analysis, and Prediction Program.
\n", "startTime": "2006-09-01T00:00:00", "endTime": "2007-04-10T20:30:00", "period": "PT30M", "dataLink": "https://vimeo.com/351493412", "format": "video/mp4", "fileSequenceStart": "1", "fileSequenceIncrement": 1, "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/atmosphere/nccs_models/winds/tour.json", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=371", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/atmosphere/nccs_models/winds/thumbnail_small.jpg", "isHidden": false, "weight": 10, "tags": [ "Air" ] }, { "title": "Forest Change (Extent, Gain, and Loss) - 2000 - 2014", "organization": "UMD/USGS/Google/Hansen/NASA", "id": "INTERNAL_SOS_615_ONLINE", "localizationId": "INTERNAL_SOS_615_ONLINE", "abstractTxt": "This dataset shows annual tree cover extent, gain, and loss from the year 2001 to 2014, at 30 meter resolution, as colored layers that can be seen together or one at a time as individual layers that can be toggled on and off. Green is used to represent tree cover in 2000, red shows tree cover loss between 2001-2014, blue shows tree cover gain between 2001-2014, and purple is gain and loss together due to replanting after loss has occurred.", "dataLink": "https://d3sik7mbbzunjo.cloudfront.net/land/forest/forest-gain-loss-extent.png", "format": "image/png", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=615", "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/land/forest/forest_label.png", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/land/forest/thumbnail_big.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/land/forest/tour.json", "isHidden": false, "weight": 10, "tags": [ "Land" ] }, { "title": "Coral Reefs in Hot Water", "organization": "American Museum of Natural History", "id": "INTERNAL_SOS_306_ONLINE", "localizationId": "INTERNAL_SOS_306_ONLINE", "abstractTxt": "This movie of datasets is a companion to a flat-screen data visualization, Coral Reefs in Hot Water, produced by the American Museum of Natural History's Science Bulletins program.", "dataLink": "https://vimeo.com/354920486", "format": "video/mp4", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=306", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/amnh/coral_reefs/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/extras/amnh/coral_reefs/tour.json", "isHidden": true, "weight": 10, "tags": [ "Water", "Movies" ] }, { "id": "INTERNAL_SOS_198_2020_ONLINE", "localizationID": "INTERNAL_SOS_198_2020_ONLINE", "organization": "NOAA Coral Reef Watch", "title": "Sea Surface Temperature Anomaly - 10/2020-10/2021", "abstractTxt": "", "startTime": "2020-10-25T12:00:00", "endTime": "2020-10-24T12:00:00", "period": "P1D", "dataLink": "https://vimeo.com/354768099", "format": "video/mp4", "websiteLink": "http://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=198", "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/oceans/ssta_2020-2021/colorbar.png", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/oceans/ssta_2020-2021/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/oceans/ssta_2020-2021/tour.json", "isHidden": true, "weight": 10, "tags": [ "Water" ] }, { "id": "INTERNAL_SOS_298_ONLINE", "localizationID": "INTERNAL_SOS_298_ONLINE", "organization": "NOAA, NTHMP", "title": "Tsunami - 5-year Anniversary (movie)", "abstractTxt": "NOAA, in partnership with the National Tsunami Hazard Mitigation Program (NTHMP), has produced \"Tsunami\", a new Science On a Sphere® (SOS) presentation to commemorate the 5th anniversary of the devastating 2004 Indian Ocean Tsunami. The narrated production uses global datasets, graphics and animations to describe the 2004 event and to take viewers through a future tsunami scenario originating off the US west coast.
\nNOAA and the NTHMP collaborated to create \"Tsunami\" with input from a broad team of tsunami and communication experts, including scientists working in research and operations, coastal emergency managers, information technology specialists, and civil defense planners. The NTHMP is a joint program between NOAA and other Federal agencies, U.S. coastal States and U.S. Territories that works to prepare for and educate coastal communities about tsunamis. NOAA's Environmental Visualization Laboratory and Film studio provided visualization, animation and production expertise. For simplicity, the two NOAA Tsunami Warning Centers with their distinct areas of responsibility are represented as one Center located in Alaska.
\nLength of dataset: 7:55
", "dataLink": "https://vimeo.com/354928809", "format": "video/mp4", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=298", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/tsunami/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/extras/tsunami/tour.json", "closedCaptionLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/tsunami/tsunami.en_US.srt", "isHidden": false, "weight": 10, "tags": [ "Movies", "Water" ] }, { "id": "INTERNAL_SOS_295_ONLINE", "localizationID": "INTERNAL_SOS_295_ONLINE", "organization": "NOAA, NTHMP", "title": "Cooking Up a Storm (movie)", "abstractTxt": "Cooking Up A Storm is a video presentation that teaches the audience about the atmospheric ingredients that go into a typical severe weather day in Tornado Alley. These factors - moisture, instability, lift, and shear - are explained through a series of data sets and creative, descriptive diagrams.", "dataLink": "https://vimeo.com/354951665", "format": "video/mp4", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=295", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/nssl_storm/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/extras/nssl_storm/tour.json", "closedCaptionLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/nssl_storm/nssl_storm.en_US.srt", "isHidden": false, "weight": 10, "tags": [ "Movies", "Air" ] }, { "id": "INTERNAL_SOS_131_ONLINE", "localizationID": "INTERNAL_SOS_131_ONLINE", "organization": "Los Alamos National Laboratory", "title": "Sea Surface Temperature NOAA Model", "abstractTxt": "", "startTime": "0001-01-01T12:00:00", "endTime": "0004-12-31T12:00:00", "period": "P1D", "dataLink": "https://vimeo.com/354988171", "format": "video/mp4", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=131", "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/oceans/gfdl_sst/SST_colorbar.png", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/oceans/gfdl_sst/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/oceans/gfdl_sst/tour.json", "isHidden": false, "weight": 10, "tags": [ "Water" ] }, { "id": "INTERNAL_SOS_464_VIDEO", "localizationID": "INTERNAL_SOS_464_VIDEO", "organization": "Institute on the Environment at the University of Minnesota ", "title": "Aquaculture (movie)", "abstractTxt": "", "dataLink": "https://vimeo.com/266207503", "format": "video/mp4", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=464", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/aquaculture/thumbnail_small.jpg", "closedCaptionLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/aquaculture/aquaculture.en_US.srt", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/extras/aquaculture/tour.json", "isHidden": false, "weight": 10, "tags": [ "Water", "Movies" ] }, { "id": "INTERNAL_SOS_698_VIDEO", "localizationID": "INTERNAL_SOS_698_VIDEO", "organization": "Aquarium of the Pacific", "title": "Resilient Cities: Key to Thriving on a Changing Planet (movie)", "abstractTxt": "", "dataLink": "https://vimeo.com/408010173", "format": "video/mp4", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=698", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/resilient_cities/thumbnail_small.jpg", "closedCaptionLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/resilient_cities/resilient_cities.en_US.srt", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/extras/resilient_cities/tour.json", "isHidden": false, "weight": 10, "tags": [ "People", "Movies" ] }, { "id": "INTERNAL_SOS_558_VIDEO", "localizationID": "INTERNAL_SOS_558_VIDEO", "organization": "Aquarium of the Pacific", "title": "Fukushima and Our Radioactive Ocean (movie)", "abstractTxt": "", "dataLink": "https://vimeo.com/408011881", "format": "video/mp4", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=558", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/fukushima_aop/thumbnail_small.jpg", "closedCaptionLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/fukushima_aop/fukushima_aop.en_US.srt", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/extras/fukushima_aop/tour.json", "isHidden": false, "weight": 10, "tags": [ "People", "Movies", "Water" ] }, { "id": "INTERNAL_SOS_626_VIDEO", "localizationID": "INTERNAL_SOS_626_VIDEO", "organization": "Aquarium of the Pacific", "title": "The Only Thing that is Constant is Change (movie)", "abstractTxt": "", "dataLink": "https://vimeo.com/407628790", "format": "video/mp4", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=626", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/aop_change/thumbnail_small.jpg", "closedCaptionLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/aop_change/aop_change.en_US.srt", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/extras/aop_change/tour.json", "isHidden": false, "weight": 10, "tags": [ "People", "Movies", "Water" ] }, { "id": "INTERNAL_SOS_486_VIDEO", "localizationID": "INTERNAL_SOS_486_VIDEO", "organization": "Aquarium of the Pacific", "title": "Extreme Weather (movie)", "abstractTxt": "", "dataLink": "https://vimeo.com/407632835", "format": "video/mp4", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=486", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/extreme_weather/thumbnail_small.jpg", "closedCaptionLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/extreme_weather/extreme_weather.en_US.srt", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/extras/extreme_weather/tour.json", "isHidden": false, "weight": 10, "tags": [ "Air", "Movies" ] }, { "id": "INTERNAL_SOS_589_VIDEO", "localizationID": "INTERNAL_SOS_589_VIDEO", "organization": "Aquarium of the Pacific", "title": "The World's Water (movie)", "abstractTxt": "", "dataLink": "https://vimeo.com/267905759", "format": "video/mp4", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=589", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/worlds_water/thumbnail_small.jpg", "closedCaptionLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/worlds_water/worlds_water.en_US.srt", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/extras/worlds_water/tour.json", "isHidden": false, "weight": 10, "tags": [ "Water", "Movies" ] }, { "id": "INTERNAL_SOS_557_VIDEO", "localizationID": "INTERNAL_SOS_557_VIDEO", "organization": "Aquarium of the Pacific", "title": "The Story of El Nino (movie)", "abstractTxt": "", "dataLink": "https://vimeo.com/408116354", "format": "video/mp4", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=557", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/elnino_aop/thumbnail_small.jpg", "closedCaptionLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/elnino_aop/elnino_aop.en_US.srt", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/extras/elnino_aop/tour.json", "isHidden": false, "weight": 10, "tags": [ "Water", "Air", "Movies" ] }, { "id": "INTERNAL_SOS_680_VIDEO", "localizationID": "INTERNAL_SOS_680_VIDEO", "title": "Hurricane Maria - 2017", "abstractTxt": "\n", "startTime": "2017-09-17T00:00:00", "endTime": "2017-09-25T23:45:00", "period": "PT15M", "format": "video/mp4", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=680", "dataLink": "https://vimeo.com/449739460", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/atmosphere/hurricane_maria/thumbnail.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/atmosphere/hurricane_maria/tour.json", "legendLink": "", "weight": 10, "isHidden": false, "tags": [ "Water", "Air", "People" ] }, { "organization": "", "id": "ID_SUMMARY_COVID", "title": "Tour end summary", "abstractTxt": "", "format": "image/png", "websiteLink": "http://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=742", "dataLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/pandemic_story/summary/summary.png", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/extras/pandemic_story/summary/tour.json", "weight": 10, "isHidden": true, "tags": [ "People" ] }, { "organization": "", "id": "ID_COVID-CASES_MOVIE", "title": "COVID Total Cases - Jan - Jun 2020", "abstractTxt": "", "startTime": "2020-01-22T12:00:00", "endTime": "2020-06-30T12:00:00", "format": "video/mp4", "websiteLink": "http://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=742", "dataLink": "https://vimeo.com/747051159", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/pandemic_story/covid_cases/thumbnail_small.jpg", "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/pandemic_story/covid_cases/cases-colorbar.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/extras/pandemic_story/covid_cases/tour.json", "weight": 10, "isHidden": false, "tags": [ "People" ] }, { "organization": "", "id": "ID_RESTRICTIONS_MOVIE", "title": "COVID Lockdown Restrictions - Jan-Jun 2020", "abstractTxt": "", "startTime": "2020-01-22T12:00:00", "endTime": "2020-06-30T12:00:00", "format": "video/mp4", "websiteLink": "http://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=742", "dataLink": "https://vimeo.com/747385644", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/pandemic_story/lockdown_restrictions/thumbnail_small.jpg", "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/pandemic_story/lockdown_restrictions/restrictions-colorbar.png", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/extras/pandemic_story/lockdown_restrictions/tour.json", "weight": 10, "isHidden": false, "tags": [ "People" ] }, { "organization": "", "id": "ID_NO2_MOVIE", "title": "Nitrogen Dioxide", "abstractTxt": "", "startTime": "", "endTime": "", "format": "video/mp4", "websiteLink": "http://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=742", "dataLink": "https://vimeo.com/747407983", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/pandemic_story/no2/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/extras/pandemic_story/no2/tour.json", "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/pandemic_story/no2/NO2_scale.png", "weight": 10, "isHidden": true, "tags": [ "People", "Air" ] }, { "organization": "NOAA", "id": "ID_INTERNAL_pandemic", "title": "Tour - The Pandemic and Air Quality", "abstractTxt": "", "format": "tour/json", "websiteLink": "http://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=742", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/extras/pandemic_story/tour.json", "dataLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/pandemic_story/tour.json", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/pandemic_story/thumbnail.jpg", "weight": 10, "isHidden": false, "tags": [ "Tours", "Air", "People" ] }, { "organization": "NOAA", "id": "ID_LJCOFJCSGH", "title": "Tour - Monster Saharan Dust Plume", "abstractTxt": "", "format": "tour/json", "websiteLink": "", "dataLink": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/SAL/tour.json", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/SAL/tour.json", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/SAL/thumbnail_small.jpg", "weight": 10, "isHidden": false, "tags": [ "Tours", "Air", "People" ] }, { "organization": "NASA SVS", "id": "ID_PIUGJTIEXC", "title": "Biosphere - 20 Years", "abstractTxt": "", "startTime": "", "endTime": "", "format": "video/mp4", "websiteLink": "https://svs.gsfc.nasa.gov/cgi-bin/details.cgi?aid=4596&button=recent", "dataLink": "https://vimeo.com/445355147", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/biosphere_20yrs/thumbnail_small.jpg", "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/biosphere_20yrs/colorbar.png", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/biosphere_20yrs/tour.json", "weight": 10, "isHidden": false, "tags": [ "Land", "Water" ] }, { "organization": "NOAA Global Systems Laboratory", "id": "INTERNAL_SOS_673", "title": "Saharan Dust - GOES 16 & 17", "abstractTxt": "", "startTime": "2020-06-29T00:00:00", "endTime": "2020-07-06T23:50:00", "period": "PT10M", "format": "video/mp4", "websiteLink": "", "dataLink": "https://vimeo.com/442842473", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/atmosphere/goes-merged-2020-dust/thumbnail_big.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/atmosphere/goes-merged-2020-dust/tour.json", "legendLink": "", "weight": 10, "isHidden": false, "tags": [ "Air", "Land" ] }, { "organization": "", "id": "INTERNAL_SOS_boundaries_color", "title": "Plate Tectonic Boundaries over Earthquakes of the 20th Century", "abstractTxt": "", "startTime": "", "endTime": "", "format": "image/png", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=398", "dataLink": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/plate_boundaries/color/color_boundaries.png", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/plate_boundaries/color/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/plate_boundaries/color/tour.json", "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/plate_boundaries/color/legend.png", "weight": 10, "isHidden": false, "tags": [ "Land" ] }, { "organization": "", "id": "ID_fires_0920", "title": "Fires - Aug-Sept, 2020", "abstractTxt": "", "startTime": "2020-08-01T12:00:00", "endTime": "2020-09-14T12:00:00", "period": "P1D", "format": "video/mp4", "websiteLink": "http://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=624", "dataLink": "https://vimeo.com/461515449", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/HRRR_smoke_tour/fires_8-9_2020/tour.json", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/HRRR_smoke_tour/fires_8-9_2020/thumbnail_small.jpg", "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/HRRR_smoke_tour/fires_8-9_2020/colorbar.png", "weight": 10, "isHidden": true, "tags": [ "Land", "People" ] }, { "organization": "", "id": "ID_drought_2020", "title": "Drought Risk - 2020", "abstractTxt": "", "startTime": "2020-01-02T12:00:00", "endTime": "2020-09-10T12:00:00", "period": "P7D", "format": "video/mp4", "websiteLink": "http://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=129", "dataLink": "https://vimeo.com/461518824", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/HRRR_smoke_tour/drought_2020/thumbnail_small.jpg", "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/HRRR_smoke_tour/drought_2020/colorbar.png", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/HRRR_smoke_tour/drought_2020/tour.json", "weight": 10, "isHidden": true, "tags": [ "Land", "Water", "People" ] }, { "id": "INTERNAL_SOS_HRRR_Smoke_Tour_Mobile", "organization": "", "title": "Tour - HRRR-Smoke and 2020 Fire Season", "abstractTxt": "", "format": "tour/json", "websiteLink": "", "dataLink": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/HRRR_smoke_tour/tour.json/tour.json", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/HRRR_smoke_tour/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/HRRR_smoke_tour/tour.json", "weight": 10, "isHidden": false, "tags": [ "Tours" ] }, { "organization": "", "id": "INTERNAL_SOS_boundaries_gray", "title": "Plate Tectonic Boundaries over Gray Earth", "abstractTxt": "", "startTime": "", "endTime": "", "format": "image/png", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=398", "dataLink": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/plate_boundaries/gray/gray_boundaries.png", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/plate_boundaries/gray/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/plate_boundaries/gray/tour.json", "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/plate_boundaries/gray/legend.png", "weight": 10, "isHidden": false, "tags": [ "Land" ] }, { "id": "INTERNAL_SOS_599_VIDEO", "localizationID": "INTERNAL_SOS_599_VIDEO", "organization": "NOAA Pacific Tsunami Warning Center, USGS National Earthquake Information Center, NASA Blue Marble GEBCO", "title": "Tsunami Historical Series: Japan - 2011", "abstractTxt": "", "startTime": "", "endTime": "", "dataLink": "https://vimeo.com/485636383", "format": "video/mp4", "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/oceans/tsunami_historical_series/japan/tsunami-legend.jpg", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=599", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/oceans/tsunami_historical_series/japan/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/oceans/tsunami_historical_series/japan/tour.json", "isHidden": false, "weight": 10, "tags": [ "Water" ] }, { "id": "INTERNAL_SOS_642_VIDEO", "localizationID": "INTERNAL_SOS_642_VIDEO", "organization": "NOAA Pacific Tsunami Warning Center, USGS National Earthquake Information Center, NASA Blue Marble GEBCO", "title": "Tsunami Historical Series: Sumatra - 2004", "abstractTxt": "", "startTime": "", "endTime": "", "dataLink": "https://vimeo.com/485657396", "format": "video/mp4", "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/oceans/tsunami_historical_series/sumatra/tsunami-legend.jpg", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=642", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/oceans/tsunami_historical_series/sumatra/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/oceans/tsunami_historical_series/sumatra/tour.json", "isHidden": false, "weight": 10, "tags": [ "Water" ] }, { "id": "INTERNAL_SOS_606_VIDEO", "localizationID": "INTERNAL_SOS_606_VIDEO", "organization": "NOAA Pacific Tsunami Warning Center, USGS National Earthquake Information Center, NASA Blue Marble GEBCO", "title": "Tsunami Historical Series: Aleutian Islands - 1946 ", "abstractTxt": "", "startTime": "", "endTime": "", "dataLink": "https://vimeo.com/485628112", "format": "video/mp4", "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/oceans/tsunami_historical_series/aleutians/tsunami-legend.jpg", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=606", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/oceans/tsunami_historical_series/aleutians/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/oceans/tsunami_historical_series/aleutians/tour.json", "isHidden": false, "weight": 10, "tags": [ "Water" ] }, { "id": "INTERNAL_SOS_625_VIDEO", "localizationID": "INTERNAL_SOS_625_VIDEO", "organization": "NOAA Pacific Tsunami Warning Center, USGS National Earthquake Information Center, NASA Blue Marble GEBCO", "title": "Tsunami Historical Series: Samoa - 2009", "abstractTxt": "", "startTime": "", "endTime": "", "dataLink": "https://vimeo.com/485648571", "format": "video/mp4", "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/oceans/tsunami_historical_series/samoa/tsunami-legend.jpg", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=625", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/oceans/tsunami_historical_series/samoa/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/oceans/tsunami_historical_series/samoa/tour.json", "isHidden": false, "weight": 10, "tags": [ "Water" ] }, { "id": "INTERNAL_SOS_605_VIDEO", "localizationID": "INTERNAL_SOS_605_VIDEO", "organization": "NOAA Pacific Tsunami Warning Center, USGS National Earthquake Information Center, NASA Blue Marble GEBCO", "title": "Tsunami Historical Series: Alaska - 1964", "abstractTxt": "", "startTime": "", "endTime": "", "dataLink": "https://vimeo.com/485617902", "format": "video/mp4", "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/oceans/tsunami_historical_series/alaska/tsunami-legend.jpg", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=605", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/oceans/tsunami_historical_series/alaska/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/oceans/tsunami_historical_series/alaska/tour.json", "isHidden": false, "weight": 10, "tags": [ "Water" ] }, { "id": "INTERNAL_SOS_639_VIDEO", "localizationID": "INTERNAL_SOS_639_VIDEO", "organization": "NOAA Pacific Tsunami Warning Center, USGS National Earthquake Information Center, NASA Blue Marble GEBCO", "title": "Tsunami Historical Series: Lisbon - 1755", "abstractTxt": "", "startTime": "", "endTime": "", "dataLink": "https://vimeo.com/485646480", "format": "video/mp4", "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/oceans/tsunami_historical_series/lisbon/tsunami-legend.jpg", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=639", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/oceans/tsunami_historical_series/lisbon/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/oceans/tsunami_historical_series/lisbon/tour.json", "isHidden": false, "weight": 10, "tags": [ "Water" ] }, { "organization": "", "id": "INTERNAL_SOS_boundaries_volcanoes", "title": "Plate Tectonic Boundaries over Volcanoes", "abstractTxt": "", "startTime": "", "endTime": "", "format": "image/png", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=108", "dataLink": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/volcanoes/boundaries_volcanoes.png", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/volcanoes/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/volcanoes/tour.json", "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/volcanoes/legend.png", "weight": 10, "isHidden": false, "tags": [ "Land" ] }, { "id": "ID_IYQKQRLFPK", "localizationID": "ID_IYQKQRLFPK", "organization": "NOAA Office of Education", "title": "Tour - Resilient Community", "abstractTxt": "", "dataLink": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/resilient/tour.json", "format": "tour/json", "websiteLink": "https://sos.noaa.gov/catalog/datasets/resilient-community/", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/resilient/thumbnail.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/resilient/tour.json", "isHidden": false, "weight": 10, "tags": [ "People", "Tours" ] }, { "id": "ID_BTNHYESMPH", "localizationID": "ID_BTNHYESMPH", "organization": "NOAA Office of Education", "title": "Resilient Community", "abstractTxt": "", "dataLink": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/resilient/resilient_community/ResilienceCommunity-SOS-360.jpg", "format": "image/jpg", "websiteLink": "https://sos.noaa.gov/catalog/datasets/resilient-community/", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/resilient/thumbnail.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/resilient/resilient_community/tour.json", "isHidden": false, "weight": 10, "tags": [ "People" ] }, { "id": "ID_JFQYBAQVID", "localizationID": "ID_JFQYBAQVID", "organization": "NOAA Office of Education", "title": "Resilient Community", "abstractTxt": "", "dataLink": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/resilient/resilient_community_labels/ResilienceCommunity-SOS-360_w_labels.jpg", "format": "image/jpg", "websiteLink": "https://sos.noaa.gov/catalog/datasets/resilient-community/", "thumbnailLink": "", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/terraviz/resilient/resilient_community_labels/tour.json", "isHidden": true, "weight": 10, "tags": [ "People" ] }, { "organization": "", "id": "INTERNAL_SOS_indigenous_territories", "title": "Indigenous Territories", "abstractTxt": "", "startTime": "", "endTime": "", "format": "image/jpg", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=747", "dataLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/territories/territories.jpg", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/territories/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/extras/territories/tour.json", "legendLink": "", "weight": 10, "isHidden": false, "tags": [ "People" ] }, { "organization": "", "id": "INTERNAL_SOS_indigenous_languages", "title": "Indigenous Languages", "abstractTxt": "", "startTime": "", "endTime": "", "format": "image/jpg", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=748", "dataLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/languages/languages.jpg", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/languages/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/extras/languages/tour.json", "legendLink": "", "weight": 10, "isHidden": false, "tags": [ "People" ] }, { "id": "INTERNAL_SOS_751_VIDEO", "localizationID": "INTERNAL_SOS_751_VIDEO", "organization": "NOAA National Centers for Environmental Information (NCEI)", "title": "Marine Microplastics: Small Bits, Large Problem", "abstractTxt": "", "startTime": "", "endTime": "", "dataLink": "https://vimeo.com/837035874", "format": "video/mp4", "legendLink": "", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=751", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/microplastics/thumbnail_small.jpg", "closedCaptionLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/microplastics/microplastics.srt", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/extras/microplastics/tour.json", "isHidden": false, "weight": 10, "tags": [ "Movies", "Water", "People" ] }, { "id": "INTERNAL_SOS_750_VIDEO", "localizationID": "INTERNAL_SOS_750_VIDEO", "organization": "NOAA National Centers for Environmental Information (NCEI)", "title": "Marine Debris: Model", "abstractTxt": "", "startTime": "", "endTime": "", "dataLink": "https://vimeo.com/864465300", "format": "video/mp4", "legendLink": "", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=750", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/marine_debris_program/model/thumbnail_small.jpg", "closedCaptionLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/marine_debris_program/model/marine_debris_model.en_US.srt", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/extras/marine_debris_program/model/tour.json", "isHidden": false, "weight": 10, "tags": [ "Movies", "Water", "People" ] }, { "id": "INTERNAL_SOS_749_VIDEO", "localizationID": "INTERNAL_SOS_749_VIDEO", "organization": "NOAA National Centers for Environmental Information (NCEI)", "title": "Marine Debris: Introduction", "abstractTxt": "", "startTime": "", "endTime": "", "dataLink": "https://vimeo.com/864467026", "format": "video/mp4", "legendLink": "", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=749", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/marine_debris_program/intro/thumbnail_small.jpg", "closedCaptionLink": "https://d3sik7mbbzunjo.cloudfront.net/extras/marine_debris_program/intro/marine_debris_intro.en_US.srt", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/extras/marine_debris_program/intro/tour.json", "isHidden": false, "weight": 10, "tags": [ "Movies", "Water", "People" ] }, { "organization": "", "id": "INTERNAL_SOS_eclipse_paths", "title": "Solar Eclipse Paths: 2023 & 2024", "abstractTxt": "", "startTime": "", "endTime": "", "format": "image/jpg", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=754", "dataLink": "https://d3sik7mbbzunjo.cloudfront.net/astronomy/solar_eclipse/eclipse_paths/eclipse-paths.jpg", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/astronomy/solar_eclipse/eclipse_paths/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/astronomy/solar_eclipse/eclipse_paths/tour.json", "legendLink": "", "weight": 10, "isHidden": false, "tags": [ "People", "Space" ] }, { "organization": "", "id": "INTERNAL_SOS_20_years", "title": "Solar Eclipse Paths - 2010-2030", "abstractTxt": "", "startTime": "", "endTime": "", "format": "image/jpg", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=753", "dataLink": "https://d3sik7mbbzunjo.cloudfront.net/astronomy/solar_eclipse/20_years_eclipses/20_years.jpg", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/astronomy/solar_eclipse/20_years_eclipses/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/astronomy/solar_eclipse/20_years_eclipses/tour.json", "legendLink": "", "weight": 10, "isHidden": false, "tags": [ "People", "Space" ] }, { "id": "INTERNAL_SOS_756_VIDEO", "localizationID": "INTERNAL_SOS_756_VIDEO", "organization": "NOAA Science On a Sphere", "title": "Solar Eclipse Paths and Cloud Fractions: April", "abstractTxt": "", "startTime": "", "endTime": "", "dataLink": "https://vimeo.com/857250391", "format": "video/mp4", "legendLink": "", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=756", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/astronomy/solar_eclipse/clouds_eclipse_path_april/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/astronomy/solar_eclipse/clouds_eclipse_path_april/tour.json", "isHidden": false, "weight": 10, "tags": [ "People", "Space" ] }, { "id": "INTERNAL_SOS_755_VIDEO", "localizationID": "INTERNAL_SOS_755_VIDEO", "organization": "NOAA Science On a Sphere", "title": "Solar Eclipse Paths and Cloud Fractions: October", "abstractTxt": "", "startTime": "", "endTime": "", "dataLink": "https://vimeo.com/857272451", "format": "video/mp4", "legendLink": "", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=755", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/astronomy/solar_eclipse/clouds_eclipse_path_october/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/astronomy/solar_eclipse/clouds_eclipse_path_october/tour.json", "isHidden": false, "weight": 10, "tags": [ "People", "Space" ] }, { "id": "INTERNAL_SOS_752_VIDEO", "localizationID": "INTERNAL_SOS_752_VIDEO", "organization": "NOAA Science On a Sphere", "title": "Solar Eclipses: What Are They?", "abstractTxt": "", "startTime": "", "endTime": "", "dataLink": "https://vimeo.com/857256349", "format": "video/mp4", "legendLink": "", "websiteLink": "https://sos.noaa.gov/Datasets/sosx_dataset_info.html?id=752", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/astronomy/solar_eclipse/2017_eclipse/thumbnail_small.jpg", "closedCaptionLink": "https://d3sik7mbbzunjo.cloudfront.net/astronomy/solar_eclipse/2017_eclipse/eclipse_2017.srt", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/astronomy/solar_eclipse/2017_eclipse/tour.json", "isHidden": false, "weight": 10, "tags": [ "People", "Space", "Movies" ] }, { "id": "INTERNAL_SOS_DROUGHT_RT", "localizationID": "INTERNAL_SOS_DROUGHT_RT", "organization": "NOAA Science On a Sphere", "title": "Drought Risk - Real-time", "abstractTxt": "", "startTime": "2025-05-29T00:00:00", "endTime": "2026-05-14T00:00:00", "period": "P1W", "dataLink": "https://vimeo.com/900195230", "format": "video/mp4", "websiteLink": "https://sos.noaa.gov/catalog/datasets/drought-risk-real-time/", "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/rt/drought/colorbar-drought.png", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/rt/drought/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/rt/drought/tour.json", "isHidden": false, "weight": 10, "tags": [ "Land", "Real-Time" ] }, { "id": "DEBUG_INTERNAL_SOS_CLOUDS_RT", "localizationID": "DEBUG_INTERNAL_SOS_CLOUDS_RT", "organization": "NOAA Science On a Sphere", "title": "Clouds - Real-time", "abstractTxt": "", "startTime": "2026-04-29T12:20:00", "endTime": "2026-05-29T11:10:00", "period": "PT10M", "dataLink": "https://vimeo.com/907632335", "format": "video/mp4", "websiteLink": "https://sos.noaa.gov/catalog/datasets/clouds-real-time/", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/rt/clouds/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/rt/clouds/tour.json", "isHidden": false, "weight": 10, "tags": [ "Air", "Real-Time" ] }, { "id": "INTERNAL_SOS_OZONE_RT", "localizationID": "INTERNAL_SOS_OZONE_RT", "organization": "NOAA Science On a Sphere", "title": "Ozone: Stratospheric - Real-time", "abstractTxt": "", "startTime": "2025-05-31T00:00:00", "endTime": "2026-05-07T00:00:00", "period": "P1D", "dataLink": "https://vimeo.com/919343002", "format": "video/mp4", "websiteLink": "https://sos.noaa.gov/catalog/datasets/ozone-stratospheric-real-time/", "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/rt/ozone/colorbar.png", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/rt/ozone/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/rt/ozone/tour.json", "isHidden": false, "weight": 10, "tags": [ "Air", "Real-Time" ] }, { "id": "INTERNAL_SOS_FIRE_RT", "localizationID": "INTERNAL_SOS_FIRE_RT", "organization": "NOAA Science On a Sphere", "title": "Fires - Real-time", "abstractTxt": "", "startTime": "2025-05-31T00:00:00", "endTime": "2026-05-27T00:00:00", "period": "P1D", "dataLink": "https://vimeo.com/919356484", "format": "video/mp4", "websiteLink": "https://sos.noaa.gov/catalog/datasets/fires-real-time/", "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/rt/fire/colorbar.png", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/rt/fire/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/rt/fire/tour.json", "isHidden": false, "weight": 10, "tags": [ "Land", "Real-Time" ] }, { "id": "INTERNAL_SOS_LAND_TEMP_RT", "localizationID": "INTERNAL_SOS_LAND_TEMP_RT", "organization": "NOAA Science On a Sphere", "title": "Land Surface Temperature", "abstractTxt": "", "startTime": "2024-09-27T00:00:00", "endTime": "2025-04-07T00:00:00", "period": "P1D", "dataLink": "https://vimeo.com/920212337", "format": "video/mp4", "websiteLink": "https://sos.noaa.gov/catalog/datasets/land-surface-temperature-real-time/", "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/rt/land_temp/colorbar.png", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/rt/land_temp/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/rt/land_temp/tour.json", "isHidden": true, "weight": 10, "tags": [ "Land" ] }, { "id": "INTERNAL_SOS_SST_RT", "localizationID": "INTERNAL_SOS_SST_RT", "organization": "NOAA Science On a Sphere", "title": "Sea Surface Temperature - Real-time", "abstractTxt": "", "startTime": "2025-05-31T00:00:00", "endTime": "2026-05-07T00:00:00", "period": "P1D", "dataLink": "https://vimeo.com/920241809", "format": "video/mp4", "websiteLink": "https://sos.noaa.gov/catalog/datasets/sea-surface-temperature-real-time/", "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/rt/sst/colorbar.png", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/rt/sst/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/rt/sst/tour.json", "isHidden": false, "weight": 10, "tags": [ "Water", "Real-Time" ] }, { "id": "INTERNAL_SOS_SST_ANOM_RT", "localizationID": "INTERNAL_SOS_SST_ANOM_RT", "organization": "NOAA Science On a Sphere", "title": "Sea Surface Temperature Anomaly - Real-time", "abstractTxt": "", "startTime": "2025-05-30T00:00:00", "endTime": "2026-05-07T00:00:00", "period": "P1D", "dataLink": "https://vimeo.com/920245845", "format": "video/mp4", "websiteLink": "https://sos.noaa.gov/catalog/datasets/sea-surface-temperature-anomaly-real-time/", "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/rt/sst-anom/colorbar.png", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/rt/sst-anom/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/rt/sst-anom/tour.json", "isHidden": false, "weight": 10, "tags": [ "Water", "Real-Time" ] }, { "id": "INTERNAL_SOS_SNOW_ICE_RT", "localizationID": "INTERNAL_SOS_SNOW_ICE_RT", "organization": "NOAA Science On a Sphere", "title": "Snow and Ice - Real-time", "abstractTxt": "", "startTime": "2025-05-30T00:00:00", "endTime": "2026-05-07T00:00:00", "period": "P1D", "dataLink": "https://vimeo.com/920619332", "format": "video/mp4", "websiteLink": "https://sos.noaa.gov/catalog/datasets/snow-and-ice-real-time/", "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/rt/snow_ice/colorbar.png", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/rt/snow_ice/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/rt/snow_ice/tour.json", "isHidden": false, "weight": 10, "tags": [ "Water", "Real-Time" ] }, { "id": "INTERNAL_SOS_ENHANCED_CLOUDS_RT", "localizationID": "INTERNAL_SOS_ENHANCED_CLOUDS_RT", "organization": "NOAA Science On a Sphere", "title": "Clouds (colorized) - Real-time", "abstractTxt": "", "startTime": "2026-04-29T13:40:00", "endTime": "2026-05-29T12:10:00", "period": "PT10M", "dataLink": "https://vimeo.com/920672356", "format": "video/mp4", "websiteLink": "https://sos.noaa.gov/catalog/datasets/clouds-colorized-real-time/", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/rt/enhanced-clouds/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/rt/enhanced-clouds/tour.json", "isHidden": false, "weight": 10, "tags": [ "Air", "Real-Time" ] }, { "id": "INTERNAL_SOS_PRECIP_RT", "localizationID": "INTERNAL_SOS_PRECIP_RT", "organization": "NOAA Science On a Sphere", "title": "Precipitation - Real-time", "abstractTxt": "", "startTime": "2026-05-10T15:00:00", "endTime": "2026-05-12T06:30:00", "period": "PT30M", "dataLink": "https://vimeo.com/921800789", "format": "video/mp4", "websiteLink": "https://sos.noaa.gov/catalog/datasets/precipitation-real-time/", "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/rt/precip/precip_bar.png", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/rt/precip/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/rt/precip/tour.json", "isHidden": false, "weight": 10, "tags": [ "Air", "Water", "Real-Time" ] }, { "id": "INTERNAL_SOS_PRECIP_WATER_RT", "localizationID": "INTERNAL_SOS_PRECIP_WATER_RT", "organization": "NOAA Science On a Sphere", "title": "Precipitable Water (over land) - Real-time", "abstractTxt": "", "startTime": "2024-05-15T00:00:00", "endTime": "2024-06-10T00:00:00", "period": "P1D", "dataLink": "https://vimeo.com/923507546", "format": "video/mp4", "websiteLink": "https://sos.noaa.gov/catalog/datasets/precipitable-water-over-land-real-time/", "legendLink": "https://d3sik7mbbzunjo.cloudfront.net/rt/precip-water/colorbar.png", "thumbnailLink": "https://d3sik7mbbzunjo.cloudfront.net/rt/precip-water/thumbnail_small.jpg", "runTourOnLoad": "https://d3sik7mbbzunjo.cloudfront.net/rt/precip-water/tour.json", "isHidden": true, "weight": 10, "tags": [ "Air", "Water" ] } ] }