Engelstad, Anita C.

About the author


Summary statistics for the central Beaufort Sea coast, Alaska

A nested spectral wave model (Simulating Waves WAves Nearshore [SWAN]; Booij and others, 1999) was deployed for the central Beaufort Sea coast of Alaska to simulate waves for the period from 1979 to 2019. Results in the form of spatial summary statistics, describing wave parameters, wind speed and sea-ice area cover for the intermediate grid (see Overview Image on main page of data release), are provided. Further information can be found in Nederhoff and others (2021).

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Time series for the central Beaufort Sea coast, Alaska

Time series output from a spectral wave model (Simulating Waves WAves Nearshore [SWAN]; Booij and others 1999), implemented for the central Beaufort Sea coast of Alaska from 1979 to 2019, are provided. The variables include significant wave heights, mean wave periods, mean wave directions, wave steepness, and orbital velocities. Additionally, water depths, x (east-west) and y (north-south) components of the wind, and sea ice concentrations are provided. Further information can be found in Nederhoff and ...

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Wave model grids and bathymetry for the central Beaufort Sea coast, Alaska

The required grid and bathymetry files to run a nested spectral wave model (Simulating Waves WAves Nearshore [SWAN]; Booij and others, 1999) for the central Beaufort Sea coast of Alaska are provided. A three-level SWAN nesting grid with grid resolutions of 5000 meters, 1000 meters, and 200 meters for the overall, intermediate and detail grids, respectively (see included Browse Graphic) has been developed. For this purpose, available local bathymetry (Coastal Frontiers Corporation, 2014; Kasper and others, ...

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Wave model input files

Provided here are the required input files to run a standalone wave model (Simulating Waves WAves Nearshore [SWAN]; Booij and others, 1999) on eleven model domains from the Canada-U.S. border to Norton Sound, Alaska to create a downscaled wave database (DWDB). The DWDB, in turn, can be used to reconstruct hindcast (1979-2019) and projected (2020-2050) time series at each point in the model domains see Engelstad and others, 2023 for further information on reconstruction of time-series. The model forcing ...

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Wave time-series: ERA5 hindcast period 1979-2019 - U.S. Canada border to Bering Strait

Modeled wave time series data are presented for the hindcast period of 1979 to 2019 from the U.S. Canada border to the Bering Strait close to the 5 and 10 m isobaths. Outputs include three-hourly nearshore significant wave heights (Hs), mean wave periods (Tm) and mean wave directions (Dm) for 6424 locations. Data are available as netCDF files and are packaged for the Beaufort Sea region from the U.S. Canada border to Nuvuk (Point Barrow), and for the Chukchi Sea region from Nuvuk to Kotzebue Sound and from ...

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Conductivity, temperature and salinity time-series data collected in 2009 in the vicinity of Wainwright, Alaska

Measurements of conductivity and temperature were collected with a high-accuracy conductivity and temperature recorder (Seabird SBE37 microcat) in approximately 10 m water depth at a single location fronting the village of Wainwright, Alaska, from 24 August to 1 October 2009. The instrument was mounted on the frame approximately 0.50 m off the bottom of the seafloor. Salinity was calculated from conductivity measurements.

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Conductivity, temperature, depth, salinity, dissolved oxygen, nitrogen, and fluorescence data collected in 2009 in the vicinity of Wainwright, Alaska

Measurements of conductivity, temperature, and depth (CTD), in addition to dissolved oxygen, nitrogen, and fluorescence, were collected in the Wainwright Inlet, the mouth of the Kuk River, and in the nearshore region off Wainwright, Alaska, in August 2009 with a Seabird SBE 19. Post-survey calculations of salinity were made from the conductivity measurements.

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Current profiler time-series data collected in 2009 offshore of Wainwright, Alaska

A time-series of binned current-velocities and recorded ping amplitudes were collected offshore Wainwright, Alaska, from August 24 to October 02, 2009 (UTC). Measurements were collected using a 1 MHz NortekTM AWAC acoustic Doppler current profiler mounted on a frame in approximately 10 m of water. The profiler was mounted on the frame 0.55 m off the bottom of the seafloor, and collected data in 8 vertical bins, centered at 1.95(bin1), 2.95, 3.95, 4.95, 5.95, 6.95, 7.95, and 8.95(bin8) meters above the ...

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Water depth time-series data collected in 2009 offshore of Wainwright, Alaska

A time-series of varying water depths were collected offshore of Wainwright, Alaska, from August 23 to October 02, 2009 (UTC). Measurements were collected with a built-in pressure transducer from a 1 MHz NortekTM AWAC acoustic Doppler current profiler mounted on a frame in approximately 10 m of water. The instrument was mounted to the frame at 0.55 m off the bottom of the seafloor. Reported depth values include the 0.55 m offset, and thus are depths relative to the seabed. These data are available in a ...

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Wave time-series data collected in 2009 offshore of Wainwright, Alaska

Time series wave data were collected offshore of Wainwright, Alaska, from August 24 to October 02, 2009 (UTC). Measurements were collected using a 1 MHz NortekTM AWAC acoustic Doppler current profiler mounted on a frame in approximately 10 m of water. The instrument was mounted to the frame at 0.55 m off the bottom of the seafloor, and collected data in 8.53-minute bursts at 2 Hz. Significant wave heights (Hs), maximum significant wave heights (Hmax), peak and mean wave periods (Tp and Tm, respectively), ...

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Vertical land motion rates for the years 2007 to 2020 for the U.S. Atlantic coast

This dataset contains rates of land subsidence and uplift derived from Sentinel-1A/B (2015-2020) and ALOS (2007-2011) synthetic aperture radar (SAR) satellites, at approximately 50-75 m resolution and mm-level precision for the U.S. Atlantic coast except for the states of North and South Carolina. The data consist of vertical land motion (VLM) rates and the 1-sigma error in land motion rates and are available as csv files. Similar vertical land motion rates for North Carolina and South Carolina are ...

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Historical shoreline vectors for barrier islands and spits along the north coast of Alaska between Cape Beaufort and the U.S.-Canadian border, 1947 to 2019

A suite of morphological metrics were derived from existing shoreline and elevation datasets for barrier islands and spits located along the north-slope coast of Alaska between Cape Beaufort and the U.S.-Canadian border. This dataset includes shoreline vectors, including data source and acquisition date, from five time periods: 1950s, 1980s, 2000s, 2010s, and 2020s. The shoreline vectors were combined to produce polygons upon which the metrics were calculated.

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Polygon shapefiles attributed with morphometric information for barrier islands and spits located along the north coast of Alaska between Cape Beaufort and the U.S.-Canadian border, 1947 to 2019

A suite of morphological metrics were derived from existing shoreline and elevation datasets for barrier islands and spits located along the north-slope coast of Alaska between Cape Beaufort and the U.S.-Canadian border. This dataset includes barrier polygons attributed with morphological metrics from five time periods: 1950s, 1980s, 2000s, 2010s, and 2020s.

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Ocean wave time-series data along the Alaska coast simulated with a global-scale numerical wave model under the influence of CMIP6 wind and sea ice fields

This dataset presents projected hourly time-series of wave heights, wave periods, incident wave directions and directional spreading at distinct points along the open coast of Alaska for the years 2020 through 2050. The projections were developed by running the National Oceanic and Atmospheric Administration’s (NOAA’s) WAVEWATCHIII model. Wind and sea ice fields from seven different Global Climate or General Circulation Models from the CMIP6 High-Resolution Model Intercomparison Project were used to ...

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Ocean wave time-series data along the U.S. Atlantic, Gulf of Mexico, and Puerto Rico coasts simulated with a global-scale numerical wave model under the influence of CMIP6 wind and sea ice fields

This dataset presents projected hourly time-series of wave heights, wave periods, incident wave directions, and directional spreading at distinct points along the U.S. Atlantic, Gulf of Mexico, and Puerto Rico coasts for the years 2020 through 2050. The projections were developed by running the National Oceanic and Atmospheric Administration’s (NOAA’s) WAVEWATCHIII model. Wind and sea ice fields from seven different Global Climate or General Circulation Models from the CMIP6 High-Resolution Model ...

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Ocean wave time-series data along the U.S. West Coast and surrounding Hawai’i simulated with a global-scale numerical wave model under the influence of CMIP6 wind and sea ice fields

This dataset presents projected hourly time-series of wave heights, wave periods, incident wave directions, and directional spreading at distinct points along the U.S. West Coast and surrounding Hawai’i for the years 2020 through 2050. The projections were developed by running the National Oceanic and Atmospheric Administration’s (NOAA’s) WAVEWATCHIII model. Wind and sea-ice fields from seven different Global Climate or General Circulation Models from the CMIP6 High-Resolution Model Intercomparison ...

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Ocean wave time-series data surrounding Hawai’i and U.S. territories in the Pacific Ocean simulated with a global-scale numerical wave model under the influence of CMIP6 wind and sea ice fields

This dataset presents projected hourly time-series of wave heights, wave periods, incident wave directions, and directional spreading at distinct points surrounding Hawai’i and U.S. territories in the Pacific Ocean, for the years 2020 through 2050. The projections were developed by running the National Oceanic and Atmospheric Administration’s (NOAA’s) WAVEWATCHIII model. Wind and sea ice fields from seven different Global Climate or General Circulation Models from the CMIP6 High-Resolution Model ...

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Grain-size data from samples collected in 2009 at three bluff locations in the vicinity of Wainwright, Alaska

Grain-size data, including grain size, cumulative frequency, and median, was determined from samples collected at three bluff locations in the vicinity of Wainwright, Alaska. The different locations (termed W1, W2, and W3) represent three different slope-failure modes. Sediment grab samples for most bluff locations were collected in August 2009, while sediment samples from the bluff at site W3 and multiple foreshore locations were collected in September and October of 2009. Two of the grab samples were ...

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Grain-size distribution from foreshore and beach samples collected in 2009 in the vicinity of Wainwright, Alaska

Sediment grab samples were collected at 158 locations on the foreshore and beach in the vicinity of Wainwright, Alaska, in October of 2009. Two of the grab samples were sieved and analyzed for grain size distributions. The grain-size distribution of the remaining samples was determined from referenced photographs of collected samples taken in the lab following the method of Barnard and others (2007) using two-dimensional spectral decomposition of sediment images (Buscombe and others, 2010). Results of ...

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Single-beam bathymetry data collected in 2009 in the vicinity of Wainwright, Alaska

Bathymetry data were collected in the Wainwright Inlet, the mouth of the Kuk River, and in the nearshore region off Wainwright, Alaska, in August of 2009. Bathymetry was measured with a single-beam echo-sounder (10 Hz 144 ODOM Echotrac CV-100) mounted on the stern of a small vessel and synchronized to a 145 Real-Time Kinematic (RTK) Global Positioning Systems (GPS). The depth is measured relative to approximate Mean Sea Level (see attribute accuracy report in this file for further details on the MSL), and ...

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Projected groundwater emergence and shoaling along the North and South Carolina coasts

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 digital elevation model (DEM) land surface elevations. Results are provided as shapefiles of water table depth in specific depth ranges.

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Projected groundwater head along the North and South Carolina coasts

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 was limited primarily to low-elevation (land surface less than approximately 10 m above mean sea level) areas. Steady-state MODFLOW groundwater flow models were used to obtain detailed (50-meter-scale) predictions over large geographic scales (100s of kilometers) of groundwater heads for both current and future sea ...

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Projected water table depths along the North and South Carolina coasts

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 geographic extent examined was limited primarily to low-elevation (land surface less than approximately 10 m above mean sea level) areas. Steady-state MODFLOW groundwater flow models were used to obtain detailed (50-meter-scale) predictions over large geographic scales (100s of kilometers) of groundwater heads for ...

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Projected groundwater emergence and shoaling along the Virginia, Georgia, and Florida coasts

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 digital elevation model (DEM) land surface elevations. Results are provided as shapefiles of water table depth in specific depth ranges. Similar modeled data for North Carolina and South Carolina are available from Barnard and others, 2023 at https://doi.org/10.5066/P9W91314.

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Projected groundwater head along the Virginia, Georgia, and Florida coasts

Seamless unconfined groundwater heads for U.S. coastal Virginia, Georgia, and Florida (Atlantic and Gulf coast south of Sarasota) groundwater systems were modeled with homogeneous, steady-state MODFLOW simulations. The geographic extent examined was limited primarily to low-elevation (land surface less than approximately 10 m above mean sea level) areas. Steady-state MODFLOW groundwater flow models were used to obtain detailed (50-meter-scale) predictions over large geographic scales (100s of kilometers) of ...

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Projected water table depths along the Virginia, Georgia, and Florida coasts

To predict water table depths, seamless groundwater heads for unconfined coastal Virginia, Georgia, and Florida (Atlantic and Gulf coast south of Sarasota) groundwater systems were modeled with homogeneous, steady-state MODFLOW simulations. The geographic extent examined was limited primarily to low-elevation (land surface less than approximately 10 m above mean sea level) areas. Steady-state MODFLOW groundwater flow models were used to obtain detailed (50-meter-scale) predictions over large geographic ...

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Elevation data collected in 2009 on the beach and foreshore in the vicinity of Wainwright, Alaska

Beach and foreshore elevation data were collected in the vicinity of Wainwright, Alaska. The area from the mouth of the Kuk River to about 8 km to the northeast was measured in August 2009. The area from the mouth of the Kuk River to about 5 km to the northeast was measured in October 2009. The elevation data were collected with Real-Time Kinematic (RTK) Global Positioning System (GPS) systems mounted on all-terrain vehicles. The GPS sampling rate was 1 Hz with vehicle speeds maintained at less than 15 km ...

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Nearshore parametric wave setup future projections (2020-2050) for the North and South Carolina coasts

This dataset presents alongshore wave setup timeseries for the North and South Carolina coastlines. Wave setup was modelled using parameterization for open coast sandy beaches as presented in Stockdon and others (2006). The parameterization relates onshore wave setup to offshore wave conditions and beach characteristics. Wave conditions were extracted at approximately the 10 m depth contour and reverse shoaled to the deep-water condition. These data were then matched to cross-shore transects spaced at ...

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Nearshore parametric wave setup hindcast data (1979-2019) for the North and South Carolina coasts

This dataset presents alongshore wave setup timeseries for the North and South Carolina coastlines. Wave setup was modelled using parameterization for open coast sandy beaches as presented in Stockdon and others (2006). The parameterization relates onshore wave setup to offshore wave conditions and beach characteristics. Wave conditions were extracted at approximately the 10 m depth contour and reverse shoaled to the deep-water condition. These data were then matched to cross-shore transects spaced at ...

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Nearshore parametric wave setup future projections (2020-2050) for the U.S. Atlantic coast

This dataset presents alongshore wave setup timeseries for three states (Virginia, Georgia, and Florida) along the U.S. Atlantic coast. Wave setup was modelled using parameterization for open coast sandy beaches as presented in Stockdon and others (2006). The parameterization relates onshore wave setup to offshore wave conditions and beach characteristics. Wave conditions were extracted at approximately the 10 m depth contour and reverse shoaled to the deep-water condition. These data were then matched to ...

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Nearshore parametric wave setup hindcast data (1979-2019) for the U.S. Atlantic coast

This dataset presents alongshore wave setup timeseries for three states (Virginia, Georgia, and Florida) along the U.S. Atlantic coast. Wave setup was modelled using parameterization for open coast sandy beaches as presented in Stockdon and others (2006). The parameterization relates onshore wave setup to offshore wave conditions and beach characteristics. Wave conditions were extracted at approximately the 10 m depth contour and reverse shoaled to the deep-water condition. These data were then matched to ...

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Satellite-derived shorelines for North Carolina and South Carolina (1984-2021)

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 using CoastSat (Vos and others, 2019a and 2019b), an open-source mapping toolbox, was used to classify coastal Landsat imagery and detect shorelines at the sub-pixel scale. To understand shoreline evolution in complex environments and operate long-term simulations illustrating potential shoreline positions in the next ...

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Vertical land motion rates for the years 2007 to 2020 for the North and South Carolina coasts

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 approximately 50-75 m resolution and mm-level precision. The data consist of vertical land motion (VLM) rates and the 1-sigma error in land motion rates and are available as csv files.

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Satellite-derived shorelines for the U.S. Atlantic coast (1984-2021)

This dataset contains shoreline positions derived from available Landsat satellite imagery for five states (Delaware, Maryland, Viginia, Georgia, and Florida) along the U.S. Atlantic coast for the time period 1984 to 2021. An open-source toolbox, CoastSat (Vos and others, 2019a and 2019b), was used to classify coastal Landsat imagery and detect shorelines at the sub-pixel scale. Resulting shorelines are presented in KMZ format. Significant uncertainty is associated with the locations of shorelines in ...

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Projections of shoreline change of current and future (2005-2100) sea-level rise scenarios for North Carolina and South Carolina

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 SLR by the year 2100. Output for SLR of 0 cm is also included, reflective of conditions in 2005, in accordance with recent SLR projections and guidance from the National Oceanic and Atmospheric Administration (NOAA; see process steps). Projections were made using the Coastal Storm Modeling System - Coastal One-line ...

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Nearshore water level, tide, and non-tidal residual future projections (2016-2050) for the U.S. Atlantic coast

A dataset of modeled nearshore water levels (WLs) was developed for three states (Virginia, Georgia, and Florida) along the U.S. Atlantic coast. Water levels, defined for this dataset as the linear sum of tides and non-tidal residuals (NTR), were produced by Muis and others (2016) using a global tide and surge model (GTSM) forced by global atmospheric fields. Water level outputs were extracted from the global grid at approximately 20 km resolution along the Atlantic coastline. These data were then ...

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Nearshore water level, tide, and non-tidal residual hindcasts (1979-2016) for the U.S. Atlantic coast

A dataset of modeled nearshore water levels (WLs) was developed for three states (Virginia, Georgia, and Florida) along the U.S. Atlantic coast. Water levels, defined for this dataset as the linear sum of tides and non-tidal residuals (NTR), were produced by Muis and others (2016) using a global tide and surge model (GTSM) forced by global atmospheric fields -. Water level outputs were extracted from the global grid at approximately 20 km resolution along the coastlines. These data were then statistically ...

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Projections of shoreline change of current and future (2005-2100) sea-level rise scenarios for the U.S. Atlantic Coast

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 SLR by the year 2100. Output for SLR of 0 cm is also included, reflective of conditions in 2005, in accordance with recent SLR projections and guidance from the National Oceanic and Atmospheric Administration (NOAA; see process steps).Projections were made using the Coastal Storm Modeling System - Coastal One-line ...

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Nearshore water level, tide, and non-tidal residual future projections (2016-2050) for the North and South Carolina coasts

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 residuals (NTR), were produced by Muis and others (2016) using a global tide and surge model (GTSM) forced by global atmospheric fields. Water level outputs were extracted from the global grid at approximately 20 km resolution along the southeast Atlantic coastline. These data were then statistically downscaled using a ...

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Nearshore water level, tide, and non-tidal residual hindcasts (1979-2016) for the North and South Carolina coasts

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 residuals (NTR), were produced by Muis and others (2016) using a global tide and surge model (GTSM) forced by global atmospheric fields -. Water level outputs were extracted from the global grid at approximately 20 km resolution along the coastlines. These data were then statistically downscaled using a signal-specific ...

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Projections of coastal flood hazards and flood potential for North Carolina and South Carolina

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 storm scenario, indicating total uncertainty from model processes and contributing datasets, are illustrated in maximum and minimum flood potential. As described by Nederhoff and others (2024), projections were made using a system of numerical models driven by output from Global Climate Models (GCMs) from the ...

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Projections of coastal water depths for North Carolina and South Carolina

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 (2024), projections were made using a system of numerical models driven by output from Global Climate Models (GCMs) from the Coupled Model Intercomparison Project Phase 6 (CMIP6) and a tropical cyclone database from U.S. Army Corp of Engineers. The resulting data are depths of projected flood hazards along the ...

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Projections of coastal flood depths for the U.S. Atlantic coast

Projected depths from compound coastal flood hazards for future sea-level rise (SLR) and storm scenarios are shown for the U.S. Atlantic coast for three states (Florida, Georgia, and Virginia). Projections were made using a system of numerical models driven by output from Global Climate Models (GCMs) from the Coupled Model Intercomparison Project Phase 6 (CMIP6) and a tropical cyclone database from U.S. Army Corp of Engineers. The resulting data are depths of projected flood hazards along the U.S. Atlantic ...

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Projections of coastal flood hazards and flood potential for the U.S. Atlantic coast

Projected impacts by compound coastal flood hazards for future sea-level rise (SLR) and storm scenarios are shown for the U.S. Atlantic coast for three states (Florida, Georgia, and southern Virginia). Accompanying uncertainty for each SLR and storm scenario, indicating total uncertainty from model processes and contributing datasets, are illustrated in maximum and minimum flood potential. As described by Nederhoff and others (2024), projections were made using a system of numerical models driven by output ...

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