USGS StreamStats: Hydrologic and Geospatial Data Integrated to Support Water Science and Management
Katharine Kolb
Katharine Kolb is a Geographer at the South Atlantic Water Science Center.
I am interested in human impacts on the environment, both current and prehistoric. I work in the areas of GIS and social media.
Science and Products
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...
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...
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...
Filter Total Items: 27
Monthly twelve-digit hydrologic unit code aggregations of the National Hydrologic Model Precipitation-Runoff Modeling System modeling application for Alaska for the USGS National Water Availability Assessment, 1980-21
This data release contains 15 variables from the National Hydrologic Model Infrastructure with the Precipitation-Runoff Modeling System (NHM-PRMS) modeling application forced with Daymet version 4 (Koczot 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 Alaska.The following flux and...
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 15 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, 2024) 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...
Monthly twelve-digit hydrologic unit code aggregations of the National Hydrologic Model Precipitation-Runoff Modeling System modeling application for Puerto Rico, 1950-21
This data release contains 15 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 1950 through 2021 that are summarized to a monthly time step and a twelve-digit hydrologic unit code for the spatial extent of Puerto Rico. The following...
Local and Global Geodatabases Used in South Carolina StreamStats 2024
In cooperation with the South Carolina Department of Transportation, the U.S. Geological Survey (USGS) updated the foundational geospatial layers for the South Carolina StreamStats web application (https://www.usgs.gov/streamstats), which provides analytical tools useful for water-resources planning and management (Kolb and others, 2018). This dataset comprises the 45 local geodatabases...
Monthly twelve-digit hydrologic unit code aggregations of the National Hydrologic Model Precipitation-Runoff Modeling System version 1.1 forced with CONUS404-BA, 1980-2021
This data release contains 15 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 1980 through September 2021 that are summarized to a monthly time step and a twelve-digit hydrologic unit code for the spatial extent of the...
Data and metrics for evaluating hydrologic model performance and simulation of drought duration, severity, deficit, and occurrence in the conterminous United States
This data release presents truth data and benchmark results describing simulation of hydrologic drought events in the conterminous United States. This data release supports a publication (Simeone and others, 2024) which documents drought benchmarking methods and their application to the results of the National Water Model (NWM) version 2.1. Truth data used were observations at U.S...
Streamflow drought Hytest NHM
This data release presents truth data and benchmark results describing simulation of hydrologic drought events in the conterminous United States. This data release supports a publication (Simeone and others, 2024) which documents drought benchmarking methods and their application to the results of the National Hydrologic Model Precipitation-Runoff Modeling System v1.0 (NHM-PRMS). Truth...
Foundational Geospatial Layers for South Carolina StreamStats 2024
In cooperation with the South Carolina Department of Transportation, the U.S. Geological Survey updated the foundational geospatial layers for the South Carolina StreamStats web application (https://water.usgs.gov/osw/streamstats/), which provides analytical tools useful for water-resources planning and management (Kolb and others, 2018). This dataset presents the digital elevation model...
Land Cover Basin Characteristics Rasters from NLCD 2019 for South Carolina StreamStats
In cooperation with the South Carolina Department of Transportation, the U.S. Geological Survey calculated four land cover basin characteristics rasters from the National Land Cover Database (NLCD) 2019 as part of updating the South Carolina StreamStats application. These datasets are raster representations of impervious surface, developed, forested, and storage land cover attributes...
Magnitude and Frequency of Floods for Rural Streams in Georgia, South Carolina, and North Carolina, 2017-Data
Reliable estimates of the magnitude and frequency of floods are an important part of the framework for hydraulic-structure design and flood-plain management. 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 at ungaged stream locations. A process known as...
Model Archive for Magnitude and Frequency of Floods for Rural Streams in Georgia, South Carolina, and North Carolina, 2017
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...
Region Layers for USGS South Carolina Bohman Method Hydrograph in StreamStats
In cooperation with the South Carolina Department of Transportation (SCDOT), the U.S. Geological Survey prepared geospatial layers illustrating the boundaries of the regions used in the South Carolina (SC) Stream Hydrograph Methods presented in Bohman (1990,1992). The region limits were described in written text and depicted in figures in Bohman (1990, 1992), but have not been provided...
USGS StreamStats: Hydrologic and Geospatial Data Integrated to Support Water Science and Management
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) Program, 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
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
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
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
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
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
StreamStats for South Carolina: A multipurpose water-resources web application
The U.S. Geological Survey (USGS) developed the South Carolina StreamStats application in cooperation with the South Carolina Department of Transportation. StreamStats (https://water.usgs.gov/osw/streamstats/) is a map-based web application that provides analytical tools useful for water-resources planning and management and many engineering purposes. The web application delineates...
Authors
Toby D. Feaster, Jimmy M. Clark, Katharine Kolb
Preliminary peak stage and streamflow data for selected U.S. Geological Survey streamgaging stations in North and South Carolina for flooding following Hurricane Florence, September 2018
Hurricane Florence made landfall as a Category 1 hurricane at Wrightsville Beach, North Carolina, shortly after dawn on September 14, 2018. Once over land, the forward motion of the hurricane slowed to about 2 to 3 miles per hour. Over the next several days, the hurricane delivered historic amounts of rainfall across North and South Carolina, causing substantial flooding in many...
Authors
Toby D. Feaster, J. Curtis Weaver, Anthony J. Gotvald, Katharine Kolb
StreamStats, version 4
IntroductionStreamStats version 4, available at https://streamstats.usgs.gov, is a map-based web application that provides an assortment of analytical tools that are useful for water-resources planning and management, and engineering purposes. Developed by the U.S. Geological Survey (USGS), the primary purpose of StreamStats is to provide estimates of streamflow statistics for user...
Authors
Kernell G. Ries, Jeremy K. Newson, Martyn J. Smith, John D. Guthrie, Peter A. Steeves, Tana Haluska, Katharine Kolb, Ryan F. Thompson, Richard D. Santoro, Hans W. Vraga
Estuarine monitoring programs in the Albemarle Sound study area, North Carolina
Albemarle Sound was selected in 2012 as one of the two demonstration sites in the Nation to test and improve the design of the National Water Quality Monitoring Council’s National Monitoring Network (NMN) for U.S. Coastal Waters and their tributaries. The goal of the NMN for U.S. coastal waters and tributaries is to provide information about the health of our oceans and coastal...
Authors
Michelle Moorman, Katharine R. Kolb, Stacy Supak
Relation of watershed setting and stream nutrient yields at selected sites in central and eastern North Carolina, 1997-2008
Data collected between 1997 and 2008 at 48 stream sites were used to characterize relations between watershed settings and stream nutrient yields throughout central and eastern North Carolina. The focus of the investigation was to identify environmental variables in watersheds that influence nutrient export for supporting the development and prioritization of management strategies for...
Authors
Stephen L. Harden, Thomas F. Cuffney, Silvia Terziotti, Katharine R. Kolb
StreamStats in North Carolina: a water-resources Web application
A statewide StreamStats application for North Carolina was developed in cooperation with the North Carolina Department of Transportation following completion of a pilot application for the upper French Broad River basin in western North Carolina (Wagner and others, 2009). StreamStats for North Carolina, available at http://water.usgs.gov/osw/streamstats/north_carolina.html, is a Web...
Authors
J. Curtis Weaver, Silvia Terziotti, Katharine R. Kolb, Chad R. Wagner
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.
Science and Products
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...
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...
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...
Filter Total Items: 27
Monthly twelve-digit hydrologic unit code aggregations of the National Hydrologic Model Precipitation-Runoff Modeling System modeling application for Alaska for the USGS National Water Availability Assessment, 1980-21
This data release contains 15 variables from the National Hydrologic Model Infrastructure with the Precipitation-Runoff Modeling System (NHM-PRMS) modeling application forced with Daymet version 4 (Koczot 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 Alaska.The following flux and...
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 15 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, 2024) 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...
Monthly twelve-digit hydrologic unit code aggregations of the National Hydrologic Model Precipitation-Runoff Modeling System modeling application for Puerto Rico, 1950-21
This data release contains 15 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 1950 through 2021 that are summarized to a monthly time step and a twelve-digit hydrologic unit code for the spatial extent of Puerto Rico. The following...
Local and Global Geodatabases Used in South Carolina StreamStats 2024
In cooperation with the South Carolina Department of Transportation, the U.S. Geological Survey (USGS) updated the foundational geospatial layers for the South Carolina StreamStats web application (https://www.usgs.gov/streamstats), which provides analytical tools useful for water-resources planning and management (Kolb and others, 2018). This dataset comprises the 45 local geodatabases...
Monthly twelve-digit hydrologic unit code aggregations of the National Hydrologic Model Precipitation-Runoff Modeling System version 1.1 forced with CONUS404-BA, 1980-2021
This data release contains 15 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 1980 through September 2021 that are summarized to a monthly time step and a twelve-digit hydrologic unit code for the spatial extent of the...
Data and metrics for evaluating hydrologic model performance and simulation of drought duration, severity, deficit, and occurrence in the conterminous United States
This data release presents truth data and benchmark results describing simulation of hydrologic drought events in the conterminous United States. This data release supports a publication (Simeone and others, 2024) which documents drought benchmarking methods and their application to the results of the National Water Model (NWM) version 2.1. Truth data used were observations at U.S...
Streamflow drought Hytest NHM
This data release presents truth data and benchmark results describing simulation of hydrologic drought events in the conterminous United States. This data release supports a publication (Simeone and others, 2024) which documents drought benchmarking methods and their application to the results of the National Hydrologic Model Precipitation-Runoff Modeling System v1.0 (NHM-PRMS). Truth...
Foundational Geospatial Layers for South Carolina StreamStats 2024
In cooperation with the South Carolina Department of Transportation, the U.S. Geological Survey updated the foundational geospatial layers for the South Carolina StreamStats web application (https://water.usgs.gov/osw/streamstats/), which provides analytical tools useful for water-resources planning and management (Kolb and others, 2018). This dataset presents the digital elevation model...
Land Cover Basin Characteristics Rasters from NLCD 2019 for South Carolina StreamStats
In cooperation with the South Carolina Department of Transportation, the U.S. Geological Survey calculated four land cover basin characteristics rasters from the National Land Cover Database (NLCD) 2019 as part of updating the South Carolina StreamStats application. These datasets are raster representations of impervious surface, developed, forested, and storage land cover attributes...
Magnitude and Frequency of Floods for Rural Streams in Georgia, South Carolina, and North Carolina, 2017-Data
Reliable estimates of the magnitude and frequency of floods are an important part of the framework for hydraulic-structure design and flood-plain management. 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 at ungaged stream locations. A process known as...
Model Archive for Magnitude and Frequency of Floods for Rural Streams in Georgia, South Carolina, and North Carolina, 2017
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...
Region Layers for USGS South Carolina Bohman Method Hydrograph in StreamStats
In cooperation with the South Carolina Department of Transportation (SCDOT), the U.S. Geological Survey prepared geospatial layers illustrating the boundaries of the regions used in the South Carolina (SC) Stream Hydrograph Methods presented in Bohman (1990,1992). The region limits were described in written text and depicted in figures in Bohman (1990, 1992), but have not been provided...
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 Integrated to Support Water Science and Management
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) Program, 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
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
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
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
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
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
StreamStats for South Carolina: A multipurpose water-resources web application
The U.S. Geological Survey (USGS) developed the South Carolina StreamStats application in cooperation with the South Carolina Department of Transportation. StreamStats (https://water.usgs.gov/osw/streamstats/) is a map-based web application that provides analytical tools useful for water-resources planning and management and many engineering purposes. The web application delineates...
Authors
Toby D. Feaster, Jimmy M. Clark, Katharine Kolb
Preliminary peak stage and streamflow data for selected U.S. Geological Survey streamgaging stations in North and South Carolina for flooding following Hurricane Florence, September 2018
Hurricane Florence made landfall as a Category 1 hurricane at Wrightsville Beach, North Carolina, shortly after dawn on September 14, 2018. Once over land, the forward motion of the hurricane slowed to about 2 to 3 miles per hour. Over the next several days, the hurricane delivered historic amounts of rainfall across North and South Carolina, causing substantial flooding in many...
Authors
Toby D. Feaster, J. Curtis Weaver, Anthony J. Gotvald, Katharine Kolb
StreamStats, version 4
IntroductionStreamStats version 4, available at https://streamstats.usgs.gov, is a map-based web application that provides an assortment of analytical tools that are useful for water-resources planning and management, and engineering purposes. Developed by the U.S. Geological Survey (USGS), the primary purpose of StreamStats is to provide estimates of streamflow statistics for user...
Authors
Kernell G. Ries, Jeremy K. Newson, Martyn J. Smith, John D. Guthrie, Peter A. Steeves, Tana Haluska, Katharine Kolb, Ryan F. Thompson, Richard D. Santoro, Hans W. Vraga
Estuarine monitoring programs in the Albemarle Sound study area, North Carolina
Albemarle Sound was selected in 2012 as one of the two demonstration sites in the Nation to test and improve the design of the National Water Quality Monitoring Council’s National Monitoring Network (NMN) for U.S. Coastal Waters and their tributaries. The goal of the NMN for U.S. coastal waters and tributaries is to provide information about the health of our oceans and coastal...
Authors
Michelle Moorman, Katharine R. Kolb, Stacy Supak
Relation of watershed setting and stream nutrient yields at selected sites in central and eastern North Carolina, 1997-2008
Data collected between 1997 and 2008 at 48 stream sites were used to characterize relations between watershed settings and stream nutrient yields throughout central and eastern North Carolina. The focus of the investigation was to identify environmental variables in watersheds that influence nutrient export for supporting the development and prioritization of management strategies for...
Authors
Stephen L. Harden, Thomas F. Cuffney, Silvia Terziotti, Katharine R. Kolb
StreamStats in North Carolina: a water-resources Web application
A statewide StreamStats application for North Carolina was developed in cooperation with the North Carolina Department of Transportation following completion of a pilot application for the upper French Broad River basin in western North Carolina (Wagner and others, 2009). StreamStats for North Carolina, available at http://water.usgs.gov/osw/streamstats/north_carolina.html, is a Web...
Authors
J. Curtis Weaver, Silvia Terziotti, Katharine R. Kolb, Chad R. Wagner
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.