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Found 12 result(s)
NWS/NCEP/Climate Prediction Center delivers climate prediction, monitoring, and diagnostic products for timescales from weeks to years to the Nation and the global community for the protection of life and property and the enhancement of the economy. The goal of the CPC website is to provide easy and comprehensive access to data and products that serve our mission. We serve a broad audience ranging from government to non-government entities like academia, NGO’s, and the public and private sectors. Specific sectors include agriculture, energy, health, transportation, emergency managers, etc.
The USGS currently houses the institute at the Center for Earth Resources Observation and Science (EROS) in Sioux Falls, South Dakota. The LCI will address land cover topics from local to global scales, and in both domestic and international settings. The USGS through the Land Cover Institute serves as a facilitator for land cover and land use science, applications, and production functions. The institute assists in the availability and technical support of land cover data sets through increasing public and scientific awareness of the importance of land cover science. LCI continues, after the reorganization of the World Data Centers in 2009, serving as the World Data Center (WDC) for land cover data for access to, or information about, land cover data of the world
The National Science Foundation (NSF) Ultraviolet (UV) Monitoring Network provides data on ozone depletion and the associated effects on terrestrial and marine systems. Data are collected from 7 sites in Antarctica, Argentina, United States, and Greenland. The network is providing data to researchers studying the effects of ozone depletion on terrestrial and marine biological systems. Network data is also used for the validation of satellite observations and for the verification of models describing the transfer of radiation through the atmosphere.
PAGER (Prompt Assessment of Global Earthquakes for Response) is an automated system that produces content concerning the impact of significant earthquakes around the world, informing emergency responders, government and aid agencies, and the media of the scope of the potential disaster. PAGER rapidly assesses earthquake impacts by comparing the population exposed to each level of shaking intensity with models of economic and fatality losses based on past earthquakes in each country or region of the world. Earthquake alerts – which were formerly sent based only on event magnitude and location, or population exposure to shaking – now will also be generated based on the estimated range of fatalities and economic losses. PAGER uses these earthquake parameters to calculate estimates of ground shaking by using the methodology and software developed for ShakeMaps. ShakeMap sites provide near-real-time maps of ground motion and shaking intensity following significant earthquakes. These maps are used by federal, state, and local organizations, both public and private, for post-earthquake response and recovery, public and scientific information, as well as for preparedness exercises and disaster planning.
As one of the cornerstones of the U.S. Geological Survey's (USGS) National Geospatial Program, The National Map is a collaborative effort among the USGS and other Federal, State, and local partners to improve and deliver topographic information for the Nation. It has many uses ranging from recreation to scientific analysis to emergency response. The National Map is easily accessible for display on the Web, as products and services, and as downloadable data. The geographic information available from The National Map includes orthoimagery (aerial photographs), elevation, geographic names, hydrography, boundaries, transportation, structures, and land cover. Other types of geographic information can be added within the viewer or brought in with The National Map data into a Geographic Information System to create specific types of maps or map views.
The JPL Tropical Cyclone Information System (TCIS) was developed to support hurricane research. There are three components to TCIS; a global archive of multi-satellite hurricane observations 1999-2010 (Tropical Cyclone Data Archive), North Atlantic Hurricane Watch and ASA Convective Processes Experiment (CPEX) aircraft campaign. Together, data and visualizations from the real time system and data archive can be used to study hurricane process, validate and improve models, and assist in developing new algorithms and data assimilation techniques.
The International Ocean Discovery Program’s (IODP) Gulf Coast Repository (GCR) is located in the Research Park on the Texas A&M University campus in College Station, Texas. This repository stores DSDP, ODP, and IODP cores from the Pacific Ocean, the Caribbean Sea and Gulf of Mexico, and the Southern Ocean. A satellite repository at Rutgers University houses New Jersey/Delaware land cores 150X and 174AX.
This site contains active weather alerts, warnings, watches, and advisories concerning the US State of Alaska and the surrounding waters. Near-real time data are available as are historical records. Links to the National Data Buoy Center are provided for coastal and ocean conditions around Alaska.
The NOAA/ESRL Physical Sciences Division (PSD) conducts weather and climate research to observe and understand Earth's physical environment, and to improve weather and climate predictions on global-to-local scales. PSD archives a wide range of data ranging from gridded climate datasets extending hundreds of years to real-time wind profiler data at a single location. The data or products derived from this data, organized by type, are available to scientists and the general public .
Web Soil Survey (WSS) provides soil data and information produced by the National Cooperative Soil Survey. It is operated by the USDA Natural Resources Conservation Service (NRCS) and provides access to the largest natural resource information system in the world. NRCS has soil maps and data available online for more than 95 percent of the nation’s counties and anticipates having 100 percent in the near future. The site is updated and maintained online as the single authoritative source of soil survey information.
When published in 2005, the Millennium Run was the largest ever simulation of the formation of structure within the ΛCDM cosmology. It uses 10(10) particles to follow the dark matter distribution in a cubic region 500h(−1)Mpc on a side, and has a spatial resolution of 5h−1kpc. Application of simplified modelling techniques to the stored output of this calculation allows the formation and evolution of the ~10(7) galaxies more luminous than the Small Magellanic Cloud to be simulated for a variety of assumptions about the detailed physics involved. As part of the activities of the German Astrophysical Virtual Observatory we have created relational databases to store the detailed assembly histories both of all the haloes and subhaloes resolved by the simulation, and of all the galaxies that form within these structures for two independent models of the galaxy formation physics. We have implemented a Structured Query Language (SQL) server on these databases. This allows easy access to many properties of the galaxies and halos, as well as to the spatial and temporal relations between them. Information is output in table format compatible with standard Virtual Observatory tools. With this announcement (from 1/8/2006) we are making these structures fully accessible to all users. Interested scientists can learn SQL and test queries on a small, openly accessible version of the Millennium Run (with volume 1/512 that of the full simulation). They can then request accounts to run similar queries on the databases for the full simulations. In 2008 and 2012 the simulations were repeated.
The National Mine Map Repository (NMMR) collects, maintains, and provides U.S. coal and non-coal mine maps to individuals, public and private sectors. NMMR mine maps and data are searchable and indexed by state, county, company name, and mine name. Accessing NMMR mine maps and data requires contacting NMMR. NMMR has a diverse customer population and has provided data to efforts supporting industrial and commercial development, highway construction, and the preservation of public health, safety and welfare.