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 statistically downscaled using a signal-specific set of corrections to improve skill in comparison to tide gauge observations (Parker and others, 2023). Projected water levels were forced by CMIP6 future period data. Four CMIP6 climate models were selected from the High-Resolution Model Intercomparison project (highresMIP; Haarsma and others, 2016) to sample variability in climate predictions. 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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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[ "010:12" ] |
| contactPoint |
{ "fn": "PCMSC Science Data Coordinator", "@type": "vcard:Contact", "hasEmail": "mailto:pcmsc_data@usgs.gov" } |
| description | 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 statistically downscaled using a signal-specific set of corrections to improve skill in comparison to tide gauge observations (Parker and others, 2023). Projected water levels were forced by CMIP6 future period data. Four CMIP6 climate models were selected from the High-Resolution Model Intercomparison project (highresMIP; Haarsma and others, 2016) to sample variability in climate predictions. Similar modeled data for North Carolina and South Carolina are available from Barnard and others, 2023, at https://doi.org/10.5066/P9W91314) |
| distribution |
[ { "@type": "dcat:Distribution", "title": "Digital Data", "format": "XML", "accessURL": "https://doi.org/10.5066/P9BQQTCI", "mediaType": "application/http", "description": "Landing page for access to the data" }, { "@type": "dcat:Distribution", "title": "Original Metadata", "format": "XML", "mediaType": "text/xml", "description": "The metadata original format", "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.c7f54735-126b-4234-8b5d-5d6986181203.xml" } ] |
| identifier | http://datainventory.doi.gov/id/dataset/USGS_c7f54735-126b-4234-8b5d-5d6986181203 |
| keyword |
[ "CMHRP", "Climate Change", "Coastal and Marine Hazards and Resources Program", "Floods", "Hazards Planning", "Oceans", "PCMSC", "Pacific Coastal and Marine Science Center", "Physical Habitats and Geomorphology", "Sea Level Rise", "Sea-level Change", "State of Florida", "State of Georgia", "State of Virginia", "Storm Surge", "Storms", "U.S. Geological Survey", "USGS", "USGS:c7f54735-126b-4234-8b5d-5d6986181203", "Water Depth", "coastal processes", "earth sciences", "effects of climate change", "floods", "hazards", "mathematical modeling", "numerical modeling", "predictions", "sea level change", "tides" ] |
| modified | 2023-05-16T00:00:00Z |
| publisher |
{ "name": "U.S. Geological Survey", "@type": "org:Organization" } |
| spatial | -81.460, 25.181, -75.981, 36.987 |
| theme |
[ "geospatial" ] |
| title | Nearshore water level, tide, and non-tidal residual future projections (2016-2050) for the U.S. Atlantic coast |
