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Location Folder Show Tree ROOT _ScienceBase Catalog __National and Regional Climate Adaptation Science Centers Alaska CASC Midwest CASC National CASC North Central CASC Northeast CASC More... Filters Date Range Past year (1) Past month (0) Past week (0) Past day (0) Custom range... To   Search Extensions Citation (1) Types Citation (1) Contacts Sawyer Stippa Benjamin T. Gutierrez Dean B. Gesch John P. Masterson Michael N. Fienen Nathaniel G. Plant U.S. Geological Survey Categories Data (2) Publication (1) Tag Types Place (1) Theme (1) Water, Coasts and Ice (3) Label (3) Science Themes (3) Tag Schemes None (1) ISO 19115 Topic Category (1) 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

Effects of sea-level rise on barrier island groundwater system dynamics – ecohydrological implications Abstract: We used a numerical model to investigate how a barrier island groundwater system responds to increases of up to 60 cm in sea level. We found that a sea-level rise of 20 cm leads to substantial changes in the depth of the water table and the extent and depth of saltwater intrusion, which are key determinants in the establishment, distribution and succession of vegetation assemblages and habitat suitability in barrier islands ecosystems. In our simulations, increases in water-table height in areas with a shallow depth to water (or thin vadose zone) resulted in extensive groundwater inundation of land surface and a thinning of the underlying freshwater lens. We demonstrated the interdependence of the groundwater... Categories: Publication; Types: Citation; Tags: Ecohydrology, Northeast CASC, Sea-Level Rise and Coasts, Water, Coasts and Ice, Wetlands, All tags... barrier island, groundwater, 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