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Water-level, wind-wave, velocity, and suspended-sediment concentration (SSC) time-series data from Liberty Island Conservation Bank (station WVA), Sacramento-San Joaquin Delta, California, 2017 Water depth, turbidity, and current velocity time-series data were collected in Liberty Island Conservation Bank (WVA) in 2017. The turbidity sensors were not calibrated to suspended-sediment concentration at this location. Typically, each zip folder for a deployment period contains two data files from a velocimeter and one data file from a CTD, each of which include data from an optical backscatter sensor. --------- Data were collected from several sites in Little Holland Tract (LHT) and Liberty Island (LI), including the Liberty Island Conservation Bank (LICB), from 2015 to 2017. Table 1 (below) lists the deployment name (DLXXX) and dates for each sampling station location. Station names starting with ‘H’ are... Tags: CMGP, CONDUCTIVITY, CTD, CTD measurement, CURRENT METERS, All tags... CURRENTS, Cache Slough, California, Coastal and Marine Geology Program, Current, Liberty Island, Little Holland Tract, PCMSC, PRESSURE SENSORS, Pacific Coastal and Marine Science Center, SALINITY, SEDIMENT TRANSPORT, Sacramento-San Joaquin Delta, Shallow-water habitat, Solano County, Suspended-sediment concentration, TIDAL HEIGHT, TURBIDITY, Tidal shallows, U.S. Geological Survey, USGS, WATER DEPTH, WATER PRESSURE, WATER TEMPERATURE, WAVE HEIGHT, WAVE HEIGHT GAUGES, Wind waves, Yolo County, inlandWaters, marine water quality, ocean waves, physical oceanography, time series datasets, water level measurements, wave observations, Fewer tags Water-level, wind-wave, velocity, and suspended-sediment concentration (SSC) time-series data from Liberty Island (station LVB), Sacramento-San Joaquin Delta, California, 2015-2017 (ver. 2.0, September, 2019) Water depth, turbidity, and current velocity time-series data were collected in Liberty Island from 2015 to 2017. Depth (from pressure) and velocity were measured in high-frequency (8 Hz) bursts. Burst means represent tidal stage and currents, and burst data can be used to determine wave height, period, and direction, and wave-orbital velocity. The turbidity sensors were calibrated to suspended-sediment concentration measured in water samples collected on site. The calibration and fit parameters for all of the turbidity sensors used in the study are tabulated and provided with the data. Data were sequentially added to this data release as they were collected and post-processed. Typically, each zip folder... Tags: CMGP, CONDUCTIVITY, CTD, CTD measurement, CURRENT METERS, All tags... CURRENTS, Cache Slough, California, Coastal and Marine Geology Program, Current, Liberty Island, Little Holland Tract, PCMSC, PRESSURE SENSORS, Pacific Coastal and Marine Science Center, SALINITY, SEDIMENT TRANSPORT, Sacramento-San Joaquin Delta, Shallow-water habitat, Solano County, Suspended-sediment concentration, TIDAL HEIGHT, TURBIDITY, Tidal shallows, U.S. Geological Survey, USGS, WATER DEPTH, WATER PRESSURE, WATER TEMPERATURE, WAVE HEIGHT, WAVE HEIGHT GAUGES, Wind waves, Yolo County, inlandWaters, marine water quality, ocean waves, physical oceanography, time series datasets, water level measurements, wave observations, Fewer tags CoSMoS v3.1 flood depth and duration projections: average conditions in Santa Cruz County This data contains maximum depth of flooding (cm) in the region landward of the present-day shoreline for the sea-level rise (SLR) and storm condition indicated. The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. Projections for CoSMoS v3.1 in Central California include flood-hazard information for the coast from Pt. Conception to the Golden Gate bridge. Outputs include SLR scenarios of 0.0, 0.25, 0.5, 0.75, 1.0, 1.5, 2.0, 2.5, 3.0, and 5.0 meters; storm scenarios include background conditions (astronomic spring tide and average... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Beaches, CMHRP, Central California, Central California Coast, Climate change, All tags... ClimatologyMeteorologyAtmosphere, Coastal and Marine Hazards and Resources Program, Coastal erosion, Earth sciences, Extreme weather, Floods, Hazards Planning, Ocean Winds, Oceans, PCMSC, Pacific Coastal and Marine Science Center, Santa Cruz County, Sea-Level Rise, Sea-level Change, State of California, Storm Surge, Storms, USGS, Water Depth, climate-change effects, erosion, mathematical modeling, ocean waves, waves, wind, Fewer tags CoSMoS v3.1 flood depth and duration projections: 100-year storm in Santa Cruz County This data contains maximum depth of flooding (cm) in the region landward of the present-day shoreline for the sea-level rise (SLR) and storm condition indicated. The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. Projections for CoSMoS v3.1 in Central California include flood-hazard information for the coast from Pt. Conception to the Golden Gate bridge. Outputs include SLR scenarios of 0.0, 0.25, 0.5, 0.75, 1.0, 1.5, 2.0, 2.5, 3.0, and 5.0 meters; storm scenarios include background conditions (astronomic spring tide and average... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Beaches, CMHRP, Central California, Central California Coast, Climate change, All tags... ClimatologyMeteorologyAtmosphere, Coastal and Marine Hazards and Resources Program, Coastal erosion, Earth sciences, Extreme weather, Floods, Hazards Planning, Ocean Winds, Oceans, PCMSC, Pacific Coastal and Marine Science Center, Santa Cruz County, Sea-Level Rise, Sea-level Change, State of California, Storm Surge, Storms, USGS, Water Depth, climate-change effects, erosion, mathematical modeling, ocean waves, waves, wind, Fewer tags CoSMoS v3.1 ocean-currents hazards: average conditions in Santa Cruz County This data contains maximum model-derived ocean currents (in meters per second) for the sea-level rise (SLR) and storm condition indicated. The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. Projections for CoSMoS v3.1 in Central California include flood-hazard information for the coast from Pt. Conception to the Golden Gate bridge. Outputs include SLR scenarios of 0.0, 0.25, 0.5, 0.75, 1.0, 1.5, 2.0, 2.5, 3.0, and 5.0 meters; storm scenarios include background conditions (astronomic spring tide and average atmospheric conditions)... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Beaches, CMHRP, Central California, Central California Coast, Climate change, All tags... ClimatologyMeteorologyAtmosphere, Coastal and Marine Hazards and Resources Program, Coastal erosion, Earth sciences, Extreme weather, Floods, Hazards Planning, Ocean Winds, Oceans, PCMSC, Pacific Coastal and Marine Science Center, Santa Cruz County, Sea-Level Rise, Sea-level Change, State of California, Storm Surge, Storms, USGS, Water Depth, climate-change effects, erosion, mathematical modeling, ocean waves, waves, wind, Fewer tags CoSMoS v3.1 water level projections: 20-year storm in Santa Cruz County This data contains model-derived total water levels (in meters) for the sea-level rise (SLR) and storm condition indicated. The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. Projections for CoSMoS v3.1 in Central California include flood-hazard information for the coast from Pt. Conception to the Golden Gate bridge. Outputs include SLR scenarios of 0.0, 0.25, 0.5, 0.75, 1.0, 1.5, 2.0, 2.5, 3.0, and 5.0 meters; storm scenarios include background conditions (astronomic spring tide and average atmospheric conditions) and simulated... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Beaches, CMHRP, Central California, Central California Coast, Climate change, All tags... ClimatologyMeteorologyAtmosphere, Coastal and Marine Hazards and Resources Program, Coastal erosion, Earth sciences, Extreme weather, Floods, Hazards Planning, Ocean Winds, Oceans, PCMSC, Pacific Coastal and Marine Science Center, Santa Cruz County, Sea-Level Rise, Sea-level Change, State of California, Storm Surge, Storms, USGS, Water Depth, climate-change effects, erosion, mathematical modeling, ocean waves, waves, wind, Fewer tags Long-term shoreline change rate transects for the South Carolina coastal region, calculated with and without the proxy-datum bias using the Digital Shoreline Analysis System version 5.1 The U.S. Geological Survey (USGS) has compiled national shoreline data for more than 20 years to document coastal change and serve the needs of research, management, and the public. Maintaining a record of historical shoreline positions is an effective method to monitor national shoreline evolution over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers and planners understand which areas of the coast are vulnerable to change. This data release includes two new mean high water (MHW) shorelines extracted from lidar data collected in 2010 and 2017-2018. Previously published historical shorelines for South Carolina (Kratzmann and others, 2017)... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Atlantic Coast, Atlantic Coast, Baseline, DSAS, Digital Shoreline Analysis System, All tags... North America, Shoreline, Shoreline Change, South Carolina, South Carolina, Southeast Atlantic, U.S. Geological Survey, USGS, United States, WHCMSC, Woods Hole Coastal and Marine Science Center, accretion, coastal processes, environment, erosion, erosion, geoscientificInformation, geospatial datasets, long-term change rates, oceans, shoreline accretion, Fewer tags Seabeach Amaranth Presence-Absence Data, Assateague Island National Seashore, 2010 Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for developing approaches that balance the needs of humans and native species. Given the magnitude of the threat posed by sea-level rise, and the urgency to better understand it, there is an increasing need to forecast sea-level rise effects on barrier islands. To address this problem, scientists in the U.S. Geological Survey (USGS) Coastal and Marine Geology program are developing Bayesian networks as a tool to evaluate and to forecast the effects of sea-level rise on shoreline change, barrier island geomorphology, and habitat availability for species such as the piping plover (Charadrius melodus)... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Assateague Island, Assateague Island, Assateague Island National Seashore, Assateague Island National Seashore, Atlantic Ocean, All tags... Barrier Island, Bayesian Network, CMHRP, Chincoteague National Wildlife Refuge, Coastal Erosion, Coastal Habitat, Coastal Hazards, Coastal and Marine Hazards and Resources Program, Coastal processes, Delmarva Peninsula, Erosion, GIS, Geographic Information Systems, MD, MHW, Maryland, Mean High Water, North America, Probability, Sea Level Rise, Sea-level change, Seabeach amaranth, Shoreline Change, U.S. Geological Survey, USA, USGS, United States, VA, Virginia, Woods Hole Coastal and Marine Science Center, coastal processes, environment, environment, erosion, geographic information systems, geomorphology, geoscientificInformation, geoscientificInformation, geospatial analysis, geospatial datasets, hazards, hazards, land use and land cover, sea-level change, transect sampling, vegetation, Fewer tags Multispectral aerial imagery collected during uncrewed aircraft systems (UAS) operations: Plum Island Estuary and Parker River NWR (PIEPR), Massachusetts, November 14, 2017 and March 28, 2019 Low-altitude (80 and 100 meters above ground level) digital images were taken over an area of the Plum Island Estuary and Parker River National Wildlife Refuge (NWR) in Massachusetts using 3DR Solo uncrewed aircraft systems (UAS) on November 14, 2017 and March 28, 2019. These images were collected as part of an effort to document marsh stability over time and quantify sediment movement using UAS technology. Each UAS was equipped with either a Ricoh GR II digital camera for true color photos, which can be used to produce digital elevation models and ortho images, or a MicaSense RedEdge multispectral camera for five-banded imagery (blue, green, red, red edge, and near-infrared spectral bands), which can be used to... Categories: Data; Tags: 3DR Solo Quadcopter, CMHRP, Coastal and Marine Hazards and Resources Program, Massachusetts, MicaSense RedEdge, All tags... North America, Parker River, Parker River National Wildlife Refuge, Plum Island, TIFF, U.S. Geological Survey, UAS, USGS, United States, WHCMSC, Woods Hole Coastal and Marine Science Center, aerial imagery, aerial photography, drone, field activity 2017-057-FA, field activity 2019-009-FA, geoscientificInformation, geotagged photos, image collections, low-altitude aerial imagery, marsh, multispectral, near-infrared, photographs, photos, remote sensing, uncrewed aircraft systems, unmanned aerial system, unoccupied aircraft system, Fewer tags Ground control points Head of the Meadow Beach, Truro, MA on March 10, 2023 The data in this release re-map the beach and nearshore environment at Head of the Meadow Beach in Truro, MA and provide updated environmental context for the 2020 CoastCam installation that looks out at the coast shared by beachgoers, shorebirds, seals, and sharks. This is related to the field activity 2022-015-FA and a collaboration with the National Park Service at Cape Cod National Seashore to monitor the region that falls within the field of view of CoastCam CACO-01, which are two video cameras aimed at the beach. In March and April 2023, U.S. Geological Survey and Woods Hole Oceanographic Institute (WHOI) scientists conducted field surveys to collect topographic and bathymetric data. Images of the beach for... Categories: Data; Tags: AeroPoint, CMHRP, Cape Cod, Coastal and Marine Hazards and Resources Program, GPS measurement, All tags... Global Positioning System (GPS) observations, Ground control point, Head of the Meadow Beach, Helikite, Massachusetts, Truro, U.S. Geological Survey, USGS, United States, WHCMSC, Woods Hole Coastal and Marine Science Center, elevation, geolocation measurement, geoscientificInformation, location, oceans, shoreline, Fewer tags Multispectral aerial imagery collected during unoccupied aircraft systems (UAS) operations in Massachusetts between March 2018 - September 2018 Low-altitude (80 and 100 meters above ground level) digital images were collected at Sage Lot Pond in Waquoit, Massachusetts, two sites on the Mill River in Taunton, MA, Great Marsh in Barnstable, MA, the Wells National Estuarine Research Reserve in Wells, ME, and on the Woods Hole Oceanographic Institution Quissett Campus in Woods Hole, MA using 3DR Solo unoccupied aircraft systems (UAS) during 2018. These images were collected to support science and data needs in wetland research, topographic mapping, and landcover detection at the U.S. Geological Survey Woods Hole Coastal and Marine Science Center. The imagery and associated ground control points can be used to create Digital Elevation Models (DEMs), orthoimages,... Categories: Data, Image; Tags: 3DR Solo quadcopter, Barnstable, Barnstable Harbor, CMHRP, Coastal/Marine Hazards and Resources Program, All tags... Complete, Field activity 2018-004_FA, Field activity 2018-009_FA, Field activity 2018-046_FA, Great Marsh, Image, Mashpee, Massachusetts, Mica, MicaSense RedEdge, Rededge, Sage Lot Pond, Sandy Neck Beach State Park, South Cape Beach State Park, TIFF, U.S. Geological Survey, UAS, USA, USGS, Unmanned aerial system, WHCMSC, Woods Hole Coastal and Marine Science Center, aerial imagery, aerial photography, drone, geoscientificInformation, geotagged photos, image collections, location, low-altitude aerial imagery, marsh, multispectral, near-infrared, photographs, photos, remote sensing, Fewer tags Ground control points collected during unoccupied aircraft systems (UAS) operations in Massachusetts and Maine between March 2018 - September 2018 Low-altitude (80 and 100 meters above ground level) digital images were collected at Sage Lot Pond in Waquoit, Massachusetts, two sites on the Mill River in Taunton, MA, Great Marsh in Barnstable, MA, the Wells National Estuarine Research Reserve in Wells, ME, and on the Woods Hole Oceanographic Institution Quissett Campus in Woods Hole, MA using 3DR Solo unoccupied aircraft systems (UAS) during 2018. These images were collected to support science and data needs in wetland research, topographic mapping, and landcover detection at the U.S. Geological Survey Woods Hole Coastal and Marine Science Center. The imagery and associated ground control points can be used to create Digital Elevation Models (DEMs), orthoimages,... Categories: Data; Tags: Barnstable, Barnstable Harbor, Britannia, CMHRP, Carlson SurvCE, All tags... Coastal/Marine Hazards and Resources Program, Data, Falmouth, GCP, GPS, Global Positioning System, Great Marsh, Maine, Mashpee, Massachusetts, Mill River, Quissett Campus, Sage Lot Pond, South Cape Beach, Spectra Precision SP80, Taunton, U.S. Geological Survey, U.S. Geological Survey Woods Hole Coastal and Marine Science Center, USA, USGS, WHCMSC, Wells, Wells National Estuarine Research Reserve, Wells Reserve at Laudholm, Whittenton, Woods Hole, Woods Hole Coastal and Marine Science Center, completed, elevation, geoscientificInformation, ground control points, location, navigation, navigational data, transect points, Fewer tags U.S. Geological Survey simulations of 3D-hydrodynamics in Delaware Bay (2021) The Coupled Ocean-Atmosphere-Wave-Sediment Transport (COAWST Warner and others, 2019; Warner and others, 2010) model was used to simulate three-dimensional hydrodynamics and waves to study salinity intrusion in the Delaware Bay estuary for 2016, 2018, 2021. Salinity intrusion in coastal systems is due in part to extreme events like drought or low-pressure storms and longer-term sea level rise, threatening economic infrastructure and ecological health. Along the eastern seaboard of the United States, approximately 13 million people rely on the water resources of the Delaware River basin, which is actively managed to suppress the salt front (or ~0.52 daily averaged psu line) through river discharge targets. However,... Categories: Data; Types: Map Service, NetCDF OPeNDAP Service, OGC WMS Layer; Tags: Earth Science > Oceans > Ocean Circulation > Ocean Currents, Earth Science > Oceans > Ocean Temperature > Potential Temperature, Earth Science > Oceans > Salinity/Density > Salinity, Earth Science > Oceans > Sea Surface Topography > Sea Surface Height, Earth Science Services > Models > Weather Research/Forecast Models, All tags... Location > Continent > North America > United States of America, Location > Continent > North America > United States of America > Delaware, Predictive Understanding of Multiscale Processes (PUMP), U.S.Geological Survey - ScienceBase, barotropic_sea_water_x_velocity, barotropic_sea_water_y_velocity, climatologyMeteorologyAtmosphere, dataset, hydrodynamics, latitude, longitude, modeling, ocean_s_coordinate_g2, salinity, sea_surface_height_above_geopotential_datum, sea_water_potential_temperature, sea_water_salinity, sea_water_x_velocity, sea_water_y_velocity, service, time, Fewer tags Seabeach amaranth presence-absence and barrier island geomorphology metrics as relates to shorebird habitat for Assateague Island National Seashore — 2008, 2010, and 2014 Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for developing approaches that balance the needs of humans and native species. Given the magnitude of the threat posed by sea-level rise, and the urgency to better understand it, there is an increasing need to forecast sea-level rise effects on barrier islands. To address this problem, scientists in the U.S. Geological Survey (USGS) Coastal and Marine Geology program are developing Bayesian networks as a tool to evaluate and to forecast the effects of sea-level rise on shoreline change, barrier island geomorphology, and habitat availability for species such as the piping plover (Charadrius melodus)... Tags: Botany, Ecology, Land Use Change, coastal processes, erosion, All tags... geographic information systems, geomorphology, geospatial analysis, geospatial datasets, hazards, land use and land cover, sea-level change, transect sampling, vegetation, Fewer tags Bathymetric data and grid of offshore Marconi Beach, Wellfleet, MA on March 20, 2023 The data in this release re-map the beach and nearshore environment at Marconi Beach in Wellfleet, MA and provide updated environmental context for the 2021 CoastCam installation that looks out at the coast shared by beachgoers, shorebirds, seals, and sharks. This is related to the field activity 2022-014-FA and a collaboration with the National Park Service at Cape Cod National Seashore to monitor the region that falls within the field of view of CoastCam CACO-02, which are two video cameras aimed at the beach. In March 2023, U.S. Geological Survey and Woods Hole Oceanographic Institute (WHOI) scientists conducted field surveys to collect topographic and bathymetric data. Images of the beach for use in structure-from-motion... Categories: Data; Tags: ASV, CMHRP, Cape Cod, Coastal and Marine Hazards and Resources Program, Marconi Beach, All tags... Massachusetts, National Seashore, U.S. Geological Survey, USGS, United States, WHCMSC, WHOI, Wellfleet, Woods Hole Coastal and Marine Science Center, Woods Hole Oceanographic Institution, Yellowfin, bathymetry, elevation, geoscientificInformation, geospatial data, location, oceans, remote sensing, shoreline, single-beam echo sounder, single-beam echo sounder, Fewer tags Ground control points Marconi Beach, Wellfleet, MA on March 22, 2023 The data in this release re-map the beach and nearshore environment at Marconi Beach in Wellfleet, MA and provide updated environmental context for the 2021 CoastCam installation that looks out at the coast shared by beachgoers, shorebirds, seals, and sharks. This is related to the field activity 2022-014-FA and a collaboration with the National Park Service at Cape Cod National Seashore to monitor the region that falls within the field of view of CoastCam CACO-02, which are two video cameras aimed at the beach. In March 2023, U.S. Geological Survey and Woods Hole Oceanographic Institute (WHOI) scientists conducted field surveys to collect topographic and bathymetric data. Images of the beach for use in structure-from-motion... Categories: Data; Tags: AeroPoint, CMHRP, Cape Cod, Coastal and Marine Hazards and Resources Program, GPS measurement, All tags... Global Positioning System (GPS) observations, Ground control point, Helikite, Marconi Beach, Massachusetts, U.S. Geological Survey, USGS, United States, WHCMSC, Wellfleet, Woods Hole Coastal and Marine Science Center, elevation, geolocation measurement, geoscientificInformation, location, oceans, Fewer tags Baseline for the North Carolina coastal region from Cape Hatteras to Cape Lookout (NCcentral) The U.S. Geological Survey (USGS) has compiled national shoreline data for more than 20 years to document coastal change and serve the needs of research, management, and the public. Maintaining a record of historical shoreline positions is an effective method to monitor national shoreline evolution over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers and planners understand which areas of the coast are vulnerable to change. This data release includes one new mean high water (MHW) shoreline extracted from lidar data collected in 2017 for the entire coastal region of North Carolina which is divided into four subregions: northern North Carolina... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Atlantic Coast, Baseline, DSAS, Digital Shoreline Analysis System, North Carolina, All tags... Shoreline, Shoreline Change, U.S. Geological Survey, USGS, United States, WHCMSC, Woods Hole Coastal and Marine Science Center, coastal processes, environment, geoscientificInformation, geospatial datasets, oceans, Fewer tags Long and short-term shoreline change rate transects for the northern North Carolina coastal region (NCnorth), calculated with and without the proxy-datum bias using the Digital Shoreline Analysis System version 5.1 The U.S. Geological Survey (USGS) has compiled national shoreline data for more than 20 years to document coastal change and serve the needs of research, management, and the public. Maintaining a record of historical shoreline positions is an effective method to monitor national shoreline evolution over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers and planners understand which areas of the coast are vulnerable to change. This data release includes one new mean high water (MHW) shoreline extracted from lidar data collected in 2017 for the entire coastal region of North Carolina which is divided into four subregions: northern North Carolina... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Atlantic Coast, Baseline, DSAS, Digital Shoreline Analysis System, North Carolina, All tags... Shoreline, Shoreline Change, Southeast Atlantic, U.S. Geological Survey, USGS, United States, WHCMSC, Woods Hole Coastal and Marine Science Center, accretion, coastal processes, environment, erosion, erosion, geoscientificInformation, geospatial datasets, long-term change rates, oceans, shoreline accretion, short-term change rates, Fewer tags North Carolina coastal region from the Virginia border to Cape Hatteras (NCnorth) The U.S. Geological Survey (USGS) has compiled national shoreline data for more than 20 years to document coastal change and serve the needs of research, management, and the public. Maintaining a record of historical shoreline positions is an effective method to monitor national shoreline evolution over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers and planners understand which areas of the coast are vulnerable to change. This data release includes one new mean high water (MHW) shoreline extracted from lidar data collected in 2017 for the entire coastal region of North Carolina which is divided into four subregions: northern North Carolina... Idealized COAWST model for wind induced mixed-layer deepening The idealized test domain is utilized to study vertical tracer mixing without the presence of advection terms. The tracer starts to mix under the application of a surface stress. The model results are intended to be accessed from the THREDDS data server available through the related external resources. The model NetCDF files are stored on this trusted digital repository to ensure backup and longevity of these data. Tags: barotropic_sea_water_x_velocity, barotropic_sea_water_y_velocity, coastal processes, dataset, mathematical modeling, All tags... ocean_s_coordinate_g1, oceans, sea_surface_height_above_geopotential_datum, sea_water_potential_temperature, sea_water_salinity, sea_water_x_velocity, sea_water_y_velocity, service, time, Fewer tags 1 2 3 4 5 ... 7 »