Found 15 datasets matching filters.
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Projected water depths from compound coastal flood hazards for future sea-level rise (SLR) and storm scenarios are shown for North Carolina and South Carolina. As described by Nederhoff and others...
Search relevance: 1.00 | Views last month: 3 | Published on: 2026-03-03 -
To predict water table depths, seamless groundwater heads for unconfined coastal North and South Carolina groundwater systems were modeled with homogeneous, steady-state MODFLOW simulations. The...
Search relevance: 1.00 | Views last month: 1 | Published on: 2026-03-03 -
Projected water elevations from compound coastal flood hazards for future sea-level rise (SLR) and storm scenarios are shown for North Carolina and South Carolina. As described by Nederhoff and...
Search relevance: 1.00 | Views last month: 1 | Published on: 2026-03-03 -
U.S. Geological Survey (USGS) scientists conducted field data collection efforts between March 8th and 25th, 2021 at four sites along coastal North Carolina and South Carolina using high accuracy...
Search relevance: 1.00 | Views last month: 1 | Published on: 2026-03-03 -
A dataset of modeled nearshore water levels (WLs) was developed for the North and South Carolina coastlines. Water levels, defined for this dataset as the linear sum of tides and non-tidal...
Search relevance: 1.00 | Views last month: 0 | Published on: 2026-03-03 -
A dataset of modeled nearshore water levels (WLs) was developed for the North and South Carolina coastlines. Water levels, defined for this dataset as the linear sum of tides and non-tidal...
Search relevance: 1.00 | Views last month: 0 | Published on: 2026-03-03 -
This dataset contains shoreline positions derived from available Landsat satellite imagery for North Carolina and South Carolina for the time period of 1984 to 2021. Positions were determined...
Search relevance: 1.00 | Views last month: 0 | Published on: 2026-03-03 -
Groundwater emergence and shoaling extents are derived from water table depth GeoTIFFs, which are calculated as steady-state groundwater model heads subtracted from high-resolution topographic...
Search relevance: 1.00 | Views last month: 0 | Published on: 2026-03-03 -
The National Assessment of Coastal Change Hazards project at the U.S. Geological Survey (USGS) exists to understand and predict storm impacts to our nation's coastlines. This geospatial dataset...
Search relevance: 1.00 | Views last month: 0 | Published on: 2026-03-03 -
This dataset contains projections of shoreline change and uncertainty bands for future scenarios of sea-level rise (SLR). Scenarios include 25, 50, 75, 100, 150, 200, and 300 centimeters (cm) of...
Search relevance: 1.00 | Views last month: 0 | Published on: 2026-03-03 -
Potential evapotranspiration (PET), and reference evapotranspiration (ETo) are estimated at a 1-kilometer spatial resolution and daily time-scale from January 1, 2022 to December 31, 2022 for...
Search relevance: 1.00 | Views last month: 0 | Published on: 2026-03-03 -
Rates of land subsidence and uplift for the North and South Carolina coasts are derived from Sentinel-1A/B (2015-2020) and ALOS (2007-2011) synthetic aperture radar (SAR) satellites, at...
Search relevance: 1.00 | Views last month: 0 | Published on: 2026-03-03 -
Projected impacts by compound coastal flood hazards for future sea-level rise (SLR) and storm scenarios are shown for North Carolina and South Carolina. Accompanying uncertainty for each SLR and...
Search relevance: 1.00 | Views last month: 0 | Published on: 2026-03-03 -
Seamless unconfined groundwater heads for U.S. coastal North and South Carolina groundwater systems were modeled with homogeneous, steady-state MODFLOW simulations. The geographic extent examined...
Search relevance: 1.00 | Views last month: 0 | Published on: 2026-03-03 -
Potential evapotranspiration (PET), and reference evapotranspiration (ETo) are estimated at an approximately 1-kilometer spatial grid and a daily time-scale from January 1, 2023 to December 31,...
Search relevance: 1.00 | Views last month: 0 | Published on: 2026-03-03
