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Filters: Types: OGC WMS Layer (X) > partyWithName: South Atlantic Water Science Center (X)

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Geomorphometry for Streams and Floodplains in the Chesapeake and Delaware Watersheds was generated as part of the project Quantifying Floodplain Ecological Processes and Ecosystem Services in the Delaware River Watershed funded through the William Penn Foundation' Delaware Watershed Research fund. This dataset contains geomorphometry for streams and floodplains in the Chesapeake and Delaware River watersheds. Geomorphometry is a quantitative representation of landscape surface form (e.g., channel width and depth) obtained from digital elevation models (DEMs). The dataset contains geomorphometry derived from running 3-m DEMs through the Floodplain and Channel Evaluation Tool (FACET) version 0.1.0. FACET generates...
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Geomorphometry for Streams and Floodplains in the Chesapeake and Delaware Watersheds was generated as part of the project Quantifying Floodplain Ecological Processes and Ecosystem Services in the Delaware River Watershed funded through the William Penn Foundation' Delaware Watershed Research fund. This dataset contains geomorphometry for streams and floodplains in the Chesapeake and Delaware River watersheds. Geomorphometry is a quantitative representation of landscape surface form (e.g., channel width and depth) obtained from digital elevation models (DEMs). The dataset contains geomorphometry derived from running 3-m DEMs through the Floodplain and Channel Evaluation Tool (FACET) version 0.1.0. FACET generates...
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Geomorphometry for Streams and Floodplains in the Chesapeake and Delaware Watersheds was generated as part of the project Quantifying Floodplain Ecological Processes and Ecosystem Services in the Delaware River Watershed funded through the William Penn Foundation' Delaware Watershed Research fund. This dataset contains geomorphometry for streams and floodplains in the Chesapeake and Delaware River watersheds. Geomorphometry is a quantitative representation of landscape surface form (e.g., channel width and depth) obtained from digital elevation models (DEMs). The dataset contains geomorphometry derived from running 3-m DEMs through the Floodplain and Channel Evaluation Tool (FACET) version 0.1.0. FACET generates...
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This data release contains two tabular data files and associated metadata. One tabular data file has mean daily runoff from the lower stream gage and total daily precipitation from the Panola Mountain Research Watershed.The other tabular data file contains data edit codes, their descriptions, and the associated data quality code.
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Reliable estimates of the magnitude and frequency of floods are an important part of the framework for hydraulic-structure design and flood-plain management in Georgia, South Carolina, and North Carolina (study area). Annual peak flows measured at U.S. Geological Survey streamgages were used to compute at-site flood-frequency estimates at those streamgages in the study area based on annual peak-flows records through 2017. Flood-frequency estimates also are needed at ungaged stream locations. A process known as regionalization was used to develop regression equations to estimate the magnitude and frequency of floods at ungaged locations. This model archive provides the inputs and outputs for (1) the at-site flood-frequency...


map background search result map search result map Geomorphometry for Hydrologic Unit 0205030203 (FACET version 0.1.0) Geomorphometry for Hydrologic Unit 0205030408 (FACET version 0.1.0) Geomorphometry for Hydrologic Unit 0206000504 (FACET version 0.1.0) Model Archive for Magnitude and Frequency of Floods for Rural Streams in Georgia, South Carolina, and North Carolina, 2017 Daily Mean Runoff and Precipitation at Panola Mountain Research Watershed, Stockbridge, GA., water years 1986–2019 Geomorphometry for Hydrologic Unit 0205030203 (FACET version 0.1.0) Geomorphometry for Hydrologic Unit 0205030408 (FACET version 0.1.0) Geomorphometry for Hydrologic Unit 0206000504 (FACET version 0.1.0) Model Archive for Magnitude and Frequency of Floods for Rural Streams in Georgia, South Carolina, and North Carolina, 2017