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Folders: ROOT > ScienceBase Catalog > National and Regional Climate Adaptation Science Centers > Northeast CASC > FY 2012 Projects > Evaluating Sea-level Rise Impacts in the Northeastern U.S. > Approved DataSets ( Show direct descendants )

Location Folder Show Tree ROOT _ScienceBase Catalog __National and Regional Climate Adaptation Science Centers ___Northeast CASC ____FY 2012 Projects _____Evaluating Sea-level Rise Impacts in the Northeastern U.S. ______Approved DataSets Filters Date Range Past year (0) Past month (0) Past week (0) Past day (0) Custom range... To   Search Contacts E. Robert Thieler Sawyer Stippa Northeast CSC U.S. Geological Survey Tag Types Place (2) Theme (2) Water, Coasts and Ice (3) Label (3) Science Themes (3) Tag Schemes None (2) ISO 19115 Topic Category (2) https://www.sciencebase.gov/vocab/category/NCCWSC/WaterCoastsandIce (3) https://www.sciencebase.gov/vocab/category/NCCWSC/Project/OrganizationName (3) https://www.sciencebase.gov/vocab/category/NCCWSC/ScienceThemes (3) View Results as: JSON ATOM CSV Browse Folder

Probability of Predicted Elevation with respect to projected sea levels for the Northeastern U.S. from Maine to Virginia for the 2020s, 2030s, 2050s and 2080s (Albers, NAD 83) The U.S. Geological Survey has been forecasting sea-level rise impacts on the landscape to evaluate where coastal land will be available for future use. The purpose of this project is to develop a spatially explicit, probabilistic model of coastal response for the Northeastern U.S. to a variety of sea-level scenarios that take into account the variable nature of the coast and provides outputs at spatial and temporal scales suitable for decision support. Model results provide predictions of adjusted land elevation ranges (AE) with respect to forecast sea-levels, a likelihood estimate of this outcome (PAE), and a probability of coastal response (CR) characterized as either static or dynamic. The predictions span the... Categories: Data; Tags: Atlantic City, Atlantic Ocean, Bayesian network, Boston, CMGP, All tags... Chesapeake Bay, Coastal and Marine Geology Program, Connecticut, Delaware, Esri binary grid, Gridded Raster Dataset, Jersey Shore, Long Island, Maine, Maryland, Massachusetts, New England, New Hampshire, New Jersey, New York, Norfolk, North America, Northeast CASC, Ocean City, Sea-Level Rise and Coasts, U.S. Geological Survey, USGS, United States, Virginia, WHCMSC, Water, Coasts and Ice, Wetlands, Woods Hole Coastal and Marine Science Center, biota, elevation, environment, geoscientificInformation, imageryBaseMapsEarthCover, landscape change, oceans, probabilistic predictions, sea-level rise, Fewer tags Predicted Elevation predicted elevation with respect to projected sea levels for the Northeastern U.S. from Maine to Virginia for the 2020s, 2030s, 2050s and 2080s (Albers, NAD 83) The U.S. Geological Survey has been forecasting sea-level rise impacts on the landscape to evaluate where coastal land will be available for future use. The purpose of this project is to develop a spatially explicit, probabilistic model of coastal response for the Northeastern U.S. to a variety of sea-level scenarios that take into account the variable nature of the coast and provides outputs at spatial and temporal scales suitable for decision support. Model results provide predictions of adjusted land elevation ranges (AE) with respect to forecast sea-levels, a likelihood estimate of this outcome (PAE), and a probability of coastal response (CR) characterized as either static or dynamic. The predictions span the... Categories: Data; Tags: Atlantic City, Atlantic Ocean, Bayesian network, Boston, CMGP, All tags... Chesapeake Bay, Coastal and Marine Geology Program, Connecticut, Delaware, Esri binary grid, Gridded Raster Dataset, Jersey Shore, Long Island, Maine, Maryland, Massachusetts, New England, New Hampshire, New Jersey, New York, Norfolk, North America, Northeast CASC, Ocean City, Sea-Level Rise and Coasts, U.S. Geological Survey, USGS, United States, Virginia, WHCMSC, Water, Coasts and Ice, Wetlands, Woods Hole Coastal and Marine Science Center, biota, elevation, environment, geoscientificInformation, imageryBaseMapsEarthCover, landscape change, oceans, probabilistic predictions, sea-level rise, Fewer tags Coastal Response Type Probabilities with respect to projected sea levels for the Northeastern U.S. from Maine to Virginia for the 2020s, 2030s, 2050s and 2080s (Albers, NAD 83) The U.S. Geological Survey has been forecasting sea-level rise impacts on the landscape to evaluate where coastal land will be available for future use. The purpose of this project is to develop a spatially explicit, probabilistic model of coastal response for the Northeastern U.S. to a variety of sea-level scenarios that take into account the variable nature of the coast and provides outputs at spatial and temporal scales suitable for decision support. Model results provide predictions of adjusted land elevation ranges (AE) with respect to forecast sea-levels, a likelihood estimate of this outcome (PAE), and a probability of coastal response (CR) characterized as either static or dynamic. The predictions span the... Categories: Data; Tags: Northeast CASC, Powder River, Sea-Level Rise and Coasts, Water, Coasts and Ice, Wetlands, All tags... cross-channel profiles, southeastern montana, Fewer tags