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Katharine Kolb

Katharine Kolb is a Geographer at the South Atlantic Water Science Center.

Science and Products

Rural Flood Frequency Station Map

Techniques for Estimating Magnitude and Frequency of Floods for Rural Basins in the Southeastern United States

Reliable estimates of the magnitude and frequency of floods are part of the technically-based framework for hydraulic-structure design and flood-plain delineation in South Carolina, North Carolina, and Georgia. Annual peak flows measured at U.S. Geological Survey (USGS) streamflow gaging stations (stations) are used to compute flood frequency estimates for a location on a stream. However, such...
By
South Atlantic Water Science Center (SAWSC)
Techniques for Estimating Magnitude and Frequency of Floods for Rural Basins in the Southeastern United States

Techniques for Estimating Magnitude and Frequency of Floods for Rural Basins in the Southeastern United States

Reliable estimates of the magnitude and frequency of floods are part of the technically-based framework for hydraulic-structure design and flood-plain delineation in South Carolina, North Carolina, and Georgia. Annual peak flows measured at U.S. Geological Survey (USGS) streamflow gaging stations (stations) are used to compute flood frequency estimates for a location on a stream. However, such...
Learn More
Drainage basin delineation using the StreamStats web application for South Carolina.

South Carolina Streams Stats: Phase 2

This project will enhance the USGS StreamStats web application in South Carolina (Phase II) by incorporating additional tools and functionality into the current (2019) application. In addition, a separate application, Floodplain Width and Indirect Determination of Extent (Flood WIDE), will be developed to incorporate functions that will provide additional tools for the SCDOT and other engineers...
By
South Atlantic Water Science Center (SAWSC)
South Carolina Streams Stats: Phase 2

South Carolina Streams Stats: Phase 2

This project will enhance the USGS StreamStats web application in South Carolina (Phase II) by incorporating additional tools and functionality into the current (2019) application. In addition, a separate application, Floodplain Width and Indirect Determination of Extent (Flood WIDE), will be developed to incorporate functions that will provide additional tools for the SCDOT and other engineers...
Learn More
USGS science for a changing world logo

Developing a "fire-aware" stream gage network by integrating USGS enterprise databases

Wildfires affect streams and rivers when they burn vegetation and scorch the ground. This makes floods more likely to happen and reduces water quality. Public managers, first responders, fire scientists, and hydrologists need timely information before and after a fire to plan for floods and water treatment. This project will create a method to combine national fire databases with the...
By
Community for Data Integration (CDI)
Developing a "fire-aware" stream gage network by integrating USGS enterprise databases

Developing a "fire-aware" stream gage network by integrating USGS enterprise databases

Wildfires affect streams and rivers when they burn vegetation and scorch the ground. This makes floods more likely to happen and reduces water quality. Public managers, first responders, fire scientists, and hydrologists need timely information before and after a fire to plan for floods and water treatment. This project will create a method to combine national fire databases with the StreamStats
Learn More
Filter Total Items: 30

Monthly and daily twelve-digit hydrologic unit code aggregations of the WRF-Hydro modeling application with CONUS404BA Atmospheric Forcings, 1979-2022 Monthly and daily twelve-digit hydrologic unit code aggregations of the WRF-Hydro modeling application with CONUS404BA Atmospheric Forcings, 1979-2022

This data release contains spatially and temporally aggregated data from a particular application of the Weather Research and Forecasting hydrological model (WRF-Hydro; Gochis and others, 2025) from water year 1980 through 2022 for the conterminous United States (Rafieeinasab and others, 2026). This modeling application is climatologically forced with a modified version of the CONUS404...
By
Water Resources Mission Area

Basin characteristics rasters in support of estimation of magnitude and frequency of floods for rural, unregulated streams in Virginia and West Virginia, 2025 Basin characteristics rasters in support of estimation of magnitude and frequency of floods for rural, unregulated streams in Virginia and West Virginia, 2025

This dataset was produced by the US Geological Survey (USGS) as a supporting dataset for calculating stream-gage basin characteristics within the Virginia and West Virginia StreamStats applications. This data release contains the supporting raster representations of various soil and land use attributes generated as explanatory variables for the 2025 flood-frequency study for Virginia and...
By
Virginia and West Virginia Water Science Center

Daily twelve-digit hydrologic unit code aggregations of snow water equivalent, soil moisture, and actual evapotranspiration estimates from the National Hydrologic Model Precipitation Runoff Modeling System forced with CONUS404-BA Daily twelve-digit hydrologic unit code aggregations of snow water equivalent, soil moisture, and actual evapotranspiration estimates from the National Hydrologic Model Precipitation Runoff Modeling System forced with CONUS404-BA

This data release contains three variables from the National Hydrologic Model Infrastructure with the Precipitation-Runoff Modeling System (NHM-PRMS) version 1.1 modeling application forced with CONUS404-BA (Markstrom and others, 2024) from January 1st, 1980 through September 25th, 2021 that are summarized to a twelve-digit hydrologic unit code for the spatial extent of the conterminous...
By
Water Resources Mission Area

Monthly twelve-digit hydrologic unit code aggregations of the National Hydrologic Model Precipitation-Runoff Modeling System modeling application for Alaska, 1980-2021 (ver. 2.0, February 2026) Monthly twelve-digit hydrologic unit code aggregations of the National Hydrologic Model Precipitation-Runoff Modeling System modeling application for Alaska, 1980-2021 (ver. 2.0, February 2026)

This data release contains spatially and temporally summarized simulated variables from the National Hydrologic Model infrastructure with the Precipitation-Runoff Modeling System (NHM-PRMS) modeling application forced with Daymet version 4 for the spatial extent of Alaska (Koczot and others, 2025) from January 1980 through December 2021. Variables are summarized to a monthly time step at...
By
Water Resources Mission Area

Monthly twelve-digit hydrologic unit code aggregations of the National Hydrologic Model Precipitation-Runoff Modeling System modeling application for Hawaii, 1980-2021 Monthly twelve-digit hydrologic unit code aggregations of the National Hydrologic Model Precipitation-Runoff Modeling System modeling application for Hawaii, 1980-2021

This data release contains 16 variables from the National Hydrologic Model Infrastructure with the Precipitation-Runoff Modeling System (NHM-PRMS) modeling application forced with Daymet version 4 (Rosa and others, 2025) from 1980 through 2021 that are summarized to a monthly time step and a twelve-digit hydrologic unit code for the spatial extent of Hawaii. The following fluxes and...
By
Water Resources Mission Area

Monthly twelve-digit hydrologic unit code aggregations of the National Hydrologic Model Precipitation-Runoff Modeling System modeling application for Puerto Rico, 1950-2021 (ver. 2.0, June 2025) Monthly twelve-digit hydrologic unit code aggregations of the National Hydrologic Model Precipitation-Runoff Modeling System modeling application for Puerto Rico, 1950-2021 (ver. 2.0, June 2025)

This data release contains 16 variables from the National Hydrologic Model Infrastructure with the Precipitation-Runoff Modeling System (NHM-PRMS) modeling application forced with Daymet version 4 (LaFontaine and others, 2024) from January 1950 through December 2021 that are summarized to a monthly time step and a twelve-digit hydrologic unit code for the spatial extent of Puerto Rico...
By
Water Resources Mission Area
USGS StreamStats: Hydrologic and Geospatial Data Integrated to Support Water Science and Management
USGS StreamStats: Hydrologic and Geospatial Data
USGS StreamStats: Hydrologic and Geospatial Data
USGS StreamStats: Hydrologic and Geospatial Data Integrated to Support Water Science and Management

USGS StreamStats: Hydrologic and Geospatial Data

USGS StreamStats: Hydrologic and Geospatial Data

USGS StreamStats: Hydrologic and Geospatial Data Integrated to Support Water Science and Management

By
Water Resources
USGS StreamStats: Hydrologic and Geospatial Data Integrated to Support Water Science and Management

USGS StreamStats: Hydrologic and Geospatial Data

USGS StreamStats: Hydrologic and Geospatial Data

USGS StreamStats: Hydrologic and Geospatial Data Integrated to Support Water Science and Management

By
Water Resources

Community for Data Integration 2020 project report Community for Data Integration 2020 project report

The U.S. Geological Survey Community for Data Integration annually funds small projects focusing on data integration for interdisciplinary research, innovative data management, and demonstration of new technologies. This report provides a summary of the 12 projects funded in fiscal year 2020, outlining their goals, activities, and accomplishments.
Authors
Leslie Hsu, Emily G. Chapin, Theodore B. Barnhart, Amanda E. Cravens, Richard A. Erickson, Jason Ferrante, Aaron Fox, Nathaniel P. Hitt, Margaret Hunter, Katharine Kolb, Jared R. Peacock, Matthew D. Petkewich, Sasha C. Reed, Terry Sohl, Tanja N. Williamson
By
Ecosystems Mission Area, Science Analytics and Synthesis (SAS), Science Synthesis, Analysis, and Research Program, Community for Data Integration (CDI), Fort Collins Science Center, Southwest Biological Science Center, Upper Midwest Environmental Sciences Center, Wetland and Aquatic Research Center

Magnitude and frequency of floods for rural streams in Georgia, South Carolina, and North Carolina, 2017—Summary Magnitude and frequency of floods for rural streams in Georgia, South Carolina, and North Carolina, 2017—Summary

Reliable flood-frequency estimates are important for hydraulic structure design and floodplain management in Georgia, South Carolina, and North Carolina. Annual peak streamflows (hereafter, referred to as peak flows) measured at 965 U.S. Geological Survey streamgages were used to compute flood-frequency estimates with annual exceedance probabilities (AEPs) of 50, 20, 10, 4, 2, 1, 0.5...
Authors
Toby D. Feaster, Anthony J. Gotvald, Jonathan W. Musser, J. Curtis Weaver, Katharine Kolb
By
Water Resources Mission Area, South Atlantic Water Science Center (SAWSC)

Magnitude and frequency of floods for rural streams in Georgia, South Carolina, and North Carolina, 2017—Results Magnitude and frequency of floods for rural streams in Georgia, South Carolina, and North Carolina, 2017—Results

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. Annual peak flows measured at U.S. Geological Survey streamgages are used to compute flood‑frequency estimates at those streamgages. However, flood‑frequency estimates also are needed...
Authors
Toby D. Feaster, Anthony J. Gotvald, Jonathan W. Musser, J. Curtis Weaver, Katharine Kolb, Andrea G. Veilleux, Daniel M. Wagner
By
Water Resources Mission Area, South Atlantic Water Science Center (SAWSC), StreamStats

Hydrology and water quality in 15 watersheds in DeKalb County, Georgia, 2012–16 Hydrology and water quality in 15 watersheds in DeKalb County, Georgia, 2012–16

The U.S. Geological Survey, in cooperation with DeKalb County Department of Watershed Management, established a long-term water-quantity and water-quality monitoring program in 2012 to monitor and analyze the hydrologic and water-quality conditions of 15 watersheds in DeKalb County, Georgia—an urban and suburban area located in north-central Georgia that includes the easternmost part of...
Authors
Brent T. Aulenbach, Katharine Kolb, John K. Joiner, Andrew E. Knaak
By
Water Resources Mission Area, South Atlantic Water Science Center (SAWSC)

Evaluation of the U.S. Geological Survey streamgage network in South Carolina, 2017 Evaluation of the U.S. Geological Survey streamgage network in South Carolina, 2017

The U.S. Geological Survey (USGS) has been monitoring streamflow in South Carolina since the late 1800s. From the beginning, the USGS streamgage network in South Carolina has been dynamic, with streamgages being added or removed depending on their purpose and the availability of funding from Federal, State, and local partners. Streamflow monitoring is important for acquiring real-time...
Authors
Toby D. Feaster, Katharine Kolb
By
Water Resources Mission Area, South Atlantic Water Science Center (SAWSC)

Methods for estimating selected low-flow frequency statistics and mean annual flow for ungaged locations on streams in Alabama Methods for estimating selected low-flow frequency statistics and mean annual flow for ungaged locations on streams in Alabama

Streamflow data and statistics are vitally important for proper protection and management of the water quality and water quantity of Alabama streams. Such data and statistics are generally available at U.S. Geological Survey streamflow-gaging stations, also referred to as streamgages or stations, but are often needed at ungaged stream locations. To address this need, the U.S. Geological...
Authors
Toby D. Feaster, Katharine Kolb, Jaime A. Painter, Jimmy M. Clark
By
Lower Mississippi-Gulf Water Science Center, Gulf of America

StreamStats Data Preparation Tools, version 4 StreamStats Data Preparation Tools, version 4

A Python package to pre-process and hydro-enforce digital elevation models using hydrography features for use in the U.S. Geological Survey (USGS) StreamStats project.
By
Wyoming-Montana Water Science Center
South Carolina StreamStats upgrades

South Carolina StreamStats upgrades

The South Atlantic Water Science Center has updated the underlying geospatial data for South Carolina StreamStats in cooperation with the SC...

Read Article
Hurricane Florence Preliminary Peak Stage and Streamflow Data Report

Hurricane Florence Preliminary Peak Stage and Streamflow Data Report

Preliminary Peak Stage and Streamflow Data at Selected U.S. Geological Survey Streamgaging Stations in North and South Carolina for Flooding Following...
Read Article

Science and Products

Rural Flood Frequency Station Map

Techniques for Estimating Magnitude and Frequency of Floods for Rural Basins in the Southeastern United States

Reliable estimates of the magnitude and frequency of floods are part of the technically-based framework for hydraulic-structure design and flood-plain delineation in South Carolina, North Carolina, and Georgia. Annual peak flows measured at U.S. Geological Survey (USGS) streamflow gaging stations (stations) are used to compute flood frequency estimates for a location on a stream. However, such...
By
South Atlantic Water Science Center (SAWSC)
Techniques for Estimating Magnitude and Frequency of Floods for Rural Basins in the Southeastern United States

Techniques for Estimating Magnitude and Frequency of Floods for Rural Basins in the Southeastern United States

Reliable estimates of the magnitude and frequency of floods are part of the technically-based framework for hydraulic-structure design and flood-plain delineation in South Carolina, North Carolina, and Georgia. Annual peak flows measured at U.S. Geological Survey (USGS) streamflow gaging stations (stations) are used to compute flood frequency estimates for a location on a stream. However, such...
Learn More
Drainage basin delineation using the StreamStats web application for South Carolina.

South Carolina Streams Stats: Phase 2

This project will enhance the USGS StreamStats web application in South Carolina (Phase II) by incorporating additional tools and functionality into the current (2019) application. In addition, a separate application, Floodplain Width and Indirect Determination of Extent (Flood WIDE), will be developed to incorporate functions that will provide additional tools for the SCDOT and other engineers...
By
South Atlantic Water Science Center (SAWSC)
South Carolina Streams Stats: Phase 2

South Carolina Streams Stats: Phase 2

This project will enhance the USGS StreamStats web application in South Carolina (Phase II) by incorporating additional tools and functionality into the current (2019) application. In addition, a separate application, Floodplain Width and Indirect Determination of Extent (Flood WIDE), will be developed to incorporate functions that will provide additional tools for the SCDOT and other engineers...
Learn More
USGS science for a changing world logo

Developing a "fire-aware" stream gage network by integrating USGS enterprise databases

Wildfires affect streams and rivers when they burn vegetation and scorch the ground. This makes floods more likely to happen and reduces water quality. Public managers, first responders, fire scientists, and hydrologists need timely information before and after a fire to plan for floods and water treatment. This project will create a method to combine national fire databases with the...
By
Community for Data Integration (CDI)
Developing a "fire-aware" stream gage network by integrating USGS enterprise databases

Developing a "fire-aware" stream gage network by integrating USGS enterprise databases

Wildfires affect streams and rivers when they burn vegetation and scorch the ground. This makes floods more likely to happen and reduces water quality. Public managers, first responders, fire scientists, and hydrologists need timely information before and after a fire to plan for floods and water treatment. This project will create a method to combine national fire databases with the StreamStats
Learn More
Filter Total Items: 30

Monthly and daily twelve-digit hydrologic unit code aggregations of the WRF-Hydro modeling application with CONUS404BA Atmospheric Forcings, 1979-2022 Monthly and daily twelve-digit hydrologic unit code aggregations of the WRF-Hydro modeling application with CONUS404BA Atmospheric Forcings, 1979-2022

This data release contains spatially and temporally aggregated data from a particular application of the Weather Research and Forecasting hydrological model (WRF-Hydro; Gochis and others, 2025) from water year 1980 through 2022 for the conterminous United States (Rafieeinasab and others, 2026). This modeling application is climatologically forced with a modified version of the CONUS404...
By
Water Resources Mission Area

Basin characteristics rasters in support of estimation of magnitude and frequency of floods for rural, unregulated streams in Virginia and West Virginia, 2025 Basin characteristics rasters in support of estimation of magnitude and frequency of floods for rural, unregulated streams in Virginia and West Virginia, 2025

This dataset was produced by the US Geological Survey (USGS) as a supporting dataset for calculating stream-gage basin characteristics within the Virginia and West Virginia StreamStats applications. This data release contains the supporting raster representations of various soil and land use attributes generated as explanatory variables for the 2025 flood-frequency study for Virginia and...
By
Virginia and West Virginia Water Science Center

Daily twelve-digit hydrologic unit code aggregations of snow water equivalent, soil moisture, and actual evapotranspiration estimates from the National Hydrologic Model Precipitation Runoff Modeling System forced with CONUS404-BA Daily twelve-digit hydrologic unit code aggregations of snow water equivalent, soil moisture, and actual evapotranspiration estimates from the National Hydrologic Model Precipitation Runoff Modeling System forced with CONUS404-BA

This data release contains three variables from the National Hydrologic Model Infrastructure with the Precipitation-Runoff Modeling System (NHM-PRMS) version 1.1 modeling application forced with CONUS404-BA (Markstrom and others, 2024) from January 1st, 1980 through September 25th, 2021 that are summarized to a twelve-digit hydrologic unit code for the spatial extent of the conterminous...
By
Water Resources Mission Area

Monthly twelve-digit hydrologic unit code aggregations of the National Hydrologic Model Precipitation-Runoff Modeling System modeling application for Alaska, 1980-2021 (ver. 2.0, February 2026) Monthly twelve-digit hydrologic unit code aggregations of the National Hydrologic Model Precipitation-Runoff Modeling System modeling application for Alaska, 1980-2021 (ver. 2.0, February 2026)

This data release contains spatially and temporally summarized simulated variables from the National Hydrologic Model infrastructure with the Precipitation-Runoff Modeling System (NHM-PRMS) modeling application forced with Daymet version 4 for the spatial extent of Alaska (Koczot and others, 2025) from January 1980 through December 2021. Variables are summarized to a monthly time step at...
By
Water Resources Mission Area

Monthly twelve-digit hydrologic unit code aggregations of the National Hydrologic Model Precipitation-Runoff Modeling System modeling application for Hawaii, 1980-2021 Monthly twelve-digit hydrologic unit code aggregations of the National Hydrologic Model Precipitation-Runoff Modeling System modeling application for Hawaii, 1980-2021

This data release contains 16 variables from the National Hydrologic Model Infrastructure with the Precipitation-Runoff Modeling System (NHM-PRMS) modeling application forced with Daymet version 4 (Rosa and others, 2025) from 1980 through 2021 that are summarized to a monthly time step and a twelve-digit hydrologic unit code for the spatial extent of Hawaii. The following fluxes and...
By
Water Resources Mission Area

Monthly twelve-digit hydrologic unit code aggregations of the National Hydrologic Model Precipitation-Runoff Modeling System modeling application for Puerto Rico, 1950-2021 (ver. 2.0, June 2025) Monthly twelve-digit hydrologic unit code aggregations of the National Hydrologic Model Precipitation-Runoff Modeling System modeling application for Puerto Rico, 1950-2021 (ver. 2.0, June 2025)

This data release contains 16 variables from the National Hydrologic Model Infrastructure with the Precipitation-Runoff Modeling System (NHM-PRMS) modeling application forced with Daymet version 4 (LaFontaine and others, 2024) from January 1950 through December 2021 that are summarized to a monthly time step and a twelve-digit hydrologic unit code for the spatial extent of Puerto Rico...
By
Water Resources Mission Area
USGS StreamStats: Hydrologic and Geospatial Data Integrated to Support Water Science and Management
USGS StreamStats: Hydrologic and Geospatial Data
USGS StreamStats: Hydrologic and Geospatial Data
USGS StreamStats: Hydrologic and Geospatial Data Integrated to Support Water Science and Management

USGS StreamStats: Hydrologic and Geospatial Data

USGS StreamStats: Hydrologic and Geospatial Data

USGS StreamStats: Hydrologic and Geospatial Data Integrated to Support Water Science and Management

By
Water Resources
USGS StreamStats: Hydrologic and Geospatial Data Integrated to Support Water Science and Management

USGS StreamStats: Hydrologic and Geospatial Data

USGS StreamStats: Hydrologic and Geospatial Data

USGS StreamStats: Hydrologic and Geospatial Data Integrated to Support Water Science and Management

By
Water Resources

Community for Data Integration 2020 project report Community for Data Integration 2020 project report

The U.S. Geological Survey Community for Data Integration annually funds small projects focusing on data integration for interdisciplinary research, innovative data management, and demonstration of new technologies. This report provides a summary of the 12 projects funded in fiscal year 2020, outlining their goals, activities, and accomplishments.
Authors
Leslie Hsu, Emily G. Chapin, Theodore B. Barnhart, Amanda E. Cravens, Richard A. Erickson, Jason Ferrante, Aaron Fox, Nathaniel P. Hitt, Margaret Hunter, Katharine Kolb, Jared R. Peacock, Matthew D. Petkewich, Sasha C. Reed, Terry Sohl, Tanja N. Williamson
By
Ecosystems Mission Area, Science Analytics and Synthesis (SAS), Science Synthesis, Analysis, and Research Program, Community for Data Integration (CDI), Fort Collins Science Center, Southwest Biological Science Center, Upper Midwest Environmental Sciences Center, Wetland and Aquatic Research Center

Magnitude and frequency of floods for rural streams in Georgia, South Carolina, and North Carolina, 2017—Summary Magnitude and frequency of floods for rural streams in Georgia, South Carolina, and North Carolina, 2017—Summary

Reliable flood-frequency estimates are important for hydraulic structure design and floodplain management in Georgia, South Carolina, and North Carolina. Annual peak streamflows (hereafter, referred to as peak flows) measured at 965 U.S. Geological Survey streamgages were used to compute flood-frequency estimates with annual exceedance probabilities (AEPs) of 50, 20, 10, 4, 2, 1, 0.5...
Authors
Toby D. Feaster, Anthony J. Gotvald, Jonathan W. Musser, J. Curtis Weaver, Katharine Kolb
By
Water Resources Mission Area, South Atlantic Water Science Center (SAWSC)

Magnitude and frequency of floods for rural streams in Georgia, South Carolina, and North Carolina, 2017—Results Magnitude and frequency of floods for rural streams in Georgia, South Carolina, and North Carolina, 2017—Results

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. Annual peak flows measured at U.S. Geological Survey streamgages are used to compute flood‑frequency estimates at those streamgages. However, flood‑frequency estimates also are needed...
Authors
Toby D. Feaster, Anthony J. Gotvald, Jonathan W. Musser, J. Curtis Weaver, Katharine Kolb, Andrea G. Veilleux, Daniel M. Wagner
By
Water Resources Mission Area, South Atlantic Water Science Center (SAWSC), StreamStats

Hydrology and water quality in 15 watersheds in DeKalb County, Georgia, 2012–16 Hydrology and water quality in 15 watersheds in DeKalb County, Georgia, 2012–16

The U.S. Geological Survey, in cooperation with DeKalb County Department of Watershed Management, established a long-term water-quantity and water-quality monitoring program in 2012 to monitor and analyze the hydrologic and water-quality conditions of 15 watersheds in DeKalb County, Georgia—an urban and suburban area located in north-central Georgia that includes the easternmost part of...
Authors
Brent T. Aulenbach, Katharine Kolb, John K. Joiner, Andrew E. Knaak
By
Water Resources Mission Area, South Atlantic Water Science Center (SAWSC)

Evaluation of the U.S. Geological Survey streamgage network in South Carolina, 2017 Evaluation of the U.S. Geological Survey streamgage network in South Carolina, 2017

The U.S. Geological Survey (USGS) has been monitoring streamflow in South Carolina since the late 1800s. From the beginning, the USGS streamgage network in South Carolina has been dynamic, with streamgages being added or removed depending on their purpose and the availability of funding from Federal, State, and local partners. Streamflow monitoring is important for acquiring real-time...
Authors
Toby D. Feaster, Katharine Kolb
By
Water Resources Mission Area, South Atlantic Water Science Center (SAWSC)

Methods for estimating selected low-flow frequency statistics and mean annual flow for ungaged locations on streams in Alabama Methods for estimating selected low-flow frequency statistics and mean annual flow for ungaged locations on streams in Alabama

Streamflow data and statistics are vitally important for proper protection and management of the water quality and water quantity of Alabama streams. Such data and statistics are generally available at U.S. Geological Survey streamflow-gaging stations, also referred to as streamgages or stations, but are often needed at ungaged stream locations. To address this need, the U.S. Geological...
Authors
Toby D. Feaster, Katharine Kolb, Jaime A. Painter, Jimmy M. Clark
By
Lower Mississippi-Gulf Water Science Center, Gulf of America

StreamStats Data Preparation Tools, version 4 StreamStats Data Preparation Tools, version 4

A Python package to pre-process and hydro-enforce digital elevation models using hydrography features for use in the U.S. Geological Survey (USGS) StreamStats project.
By
Wyoming-Montana Water Science Center
South Carolina StreamStats upgrades

South Carolina StreamStats upgrades

The South Atlantic Water Science Center has updated the underlying geospatial data for South Carolina StreamStats in cooperation with the SC...

Read Article
Hurricane Florence Preliminary Peak Stage and Streamflow Data Report

Hurricane Florence Preliminary Peak Stage and Streamflow Data Report

Preliminary Peak Stage and Streamflow Data at Selected U.S. Geological Survey Streamgaging Stations in North and South Carolina for Flooding Following...
Read Article
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