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Person

Jeffrey W Riley

Hydrologist

South Atlantic Water Science Center

Email: jriley@usgs.gov
Office Phone: 678-924-6682
Fax: 678-924-6710
ORCID: 0000-0001-5525-3134

Location
South Atlantic WSC
1770 Corporate Drive
Suite 500
Norcross , GA 30093
US

Supervisor: Daniel L Calhoun
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The continental United States (CONUS) was modeled to produce simulations of historical and potential future streamflow using the Precipitation-Runoff Modeling System (PRMS) application of the USGS National Hydrologic Model Infrastructure (NHMI; Regan and others, 2018). This child page specifically contains atmospheric forcings (daily minimum air temperature, daily maximum air temperature, and daily precipitation accumulation) from each of the global circulation models (GCMs) presented in table1_GCMs_used.csv, using the Representative Concentration Pathway 4.5 for simulating potential future streamflow for the period 2006 - 2100.
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The continental United States (CONUS) was modeled to produce simulations of historical and potential future streamflow using the Precipitation-Runoff Modeling System (PRMS) application of the USGS National Hydrologic Model Infrastructure (NHMI; Regan and others, 2018). This child page specifically contains outputs of streamflow for each stream segment in the model domain and is based on parameterization with dynamic land cover. The parameters that were allowed to vary were related to dominant land cover type, percent impervious area, and precipitation interception by the plant canopy and snowpack.The PRMS parameters describing vegetation and impervious area were derived from annual estimates of land cover to incorporate...
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The continental United States (CONUS) was modeled to produce simulations of historical and potential future streamflow using the Precipitation-Runoff Modeling System (PRMS) application of the USGS National Hydrologic Model Infrastructure (NHMI; Regan and others, 2018). This child page specifically contains a suite of 52 streamflow metrics. These metrics were computed using daily outputs of runoff from HRUs (PRMS variable hru_outflow) and streamflow from the model stream segments (PRMS variable seg_outflow) for all historical and future simulations (table1_GCMs_used.csv) with both static and dynamic land cover parameters. These streamflow statistics describe the duration, frequency, magnitude, rate of change, and...
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This dataset represents the shoreline positions that were surveyed at the beginning and end of a one year study of erosion along the back barrier (western shoreline) of Cumberland Island National Seashore (CUIS). Additionally, this dataset also contains projected shoreline positions for the year 2050 and 2100 derived from erosion rates observed in this study and the R package - Analysis of Moving Boundaries Using R (AMBUR). To determine shoreline positions, points were surveyed along the edge of the margin scarp using either a Trimble R8 Real-Time Kinematic Global Positioning System (RTK GPS) unit, a Trimble S6 total station, or both. Points were then converted to a polyline feature to represent the position and...
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This dataset contains the approximate location of 59 wetlands that were monitored as part of the U.S. Geological Survey (USGS) Amphibian Research and Monitoring Initiative (ARMI). Note, these were preliminary points used for locating the wetlands in the field and they may not fall directly within a wetlands boundary. The later surveying of pond boundaries provides more accurate locations. These point locations were collected with a Garmin GPSmap62 unit. The mention of firm, product, or trade names is done so for informative purposes only and does not constitute and recommendation or endorsement by the federal government.
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