Methods for estimating selected low-flow frequency and mean annual flow statistics at gaged and ungaged locations on streams in Georgia, North Carolina, and South Carolina, 2022-Data: Geospatial datasets for South Carolina
Based on hydrologic data through the 2022 water year (October 1 to September 30), the U.S. Geological Survey South Atlantic Water Science Center updated low-flow frequency, mean annual flow, and flow-duration statistics at 843 streamgages in and near Georgia, North Carolina, and South Carolina. Data from 604 of those streamgages, on streams not substantially affected by regulation or diversions, and not tidally influenced, were used to develop regression equations for Georgia, North Carolina, and South Carolina to estimate streamflow statistics at points of interest on similar streams. This data release contains supporting tables and geospatial data for Feaster and others (2026). The data release child page described in this metadata entry consists of 9 geospatial layers in raster GeoTIFF format to be used in calculating regression equations for South Carolina StreamStats.
Find Related Datasets
Search by Tags
Click any tag below to search for similar datasets
Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[ "010:12" ] |
| contactPoint |
{ "fn": "Katharine Kolb", "@type": "vcard:Contact", "hasEmail": "mailto:kkolb@usgs.gov" } |
| description | Based on hydrologic data through the 2022 water year (October 1 to September 30), the U.S. Geological Survey South Atlantic Water Science Center updated low-flow frequency, mean annual flow, and flow-duration statistics at 843 streamgages in and near Georgia, North Carolina, and South Carolina. Data from 604 of those streamgages, on streams not substantially affected by regulation or diversions, and not tidally influenced, were used to develop regression equations for Georgia, North Carolina, and South Carolina to estimate streamflow statistics at points of interest on similar streams. This data release contains supporting tables and geospatial data for Feaster and others (2026). The data release child page described in this metadata entry consists of 9 geospatial layers in raster GeoTIFF format to be used in calculating regression equations for South Carolina StreamStats. |
| distribution |
[ { "@type": "dcat:Distribution", "title": "Digital Data", "format": "XML", "accessURL": "https://doi.org/10.5066/P13BHRVE", "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.67e6fa4bd34ee3695ea1d91f.xml" } ] |
| identifier | http://datainventory.doi.gov/id/dataset/USGS_67e6fa4bd34ee3695ea1d91f |
| keyword |
[ "Alabama", "Florida", "Georgia", "North Carolina", "South Carolina", "Tennessee", "USGS:67e6fa4bd34ee3695ea1d91f", "Virginia", "climatologyMeteorologyAtmosphere", "datasets", "environment", "geoscientificInformation", "geospatial datasets", "hydrology", "inlandWaters", "land surface characteristics", "streamflow" ] |
| modified | 2026-07-09T00:00:00Z |
| publisher |
{ "name": "U.S. Geological Survey", "@type": "org:Organization" } |
| spatial | -83.7423, 31.9480, -77.9808, 36.6753 |
| theme |
[ "geospatial" ] |
| title | Methods for estimating selected low-flow frequency and mean annual flow statistics at gaged and ungaged locations on streams in Georgia, North Carolina, and South Carolina, 2022-Data: Geospatial datasets for South Carolina |
