Roland J Viger (Former Employee)
Science and Products
Building a framework to compute continuous grids of basin characteristics for the conterminous United States
The proposed work will create a seamless pilot dataset of continuous basin characteristics (for example upstream average precipitation, elevation, or dominant land cover type) for the conterminous United States. Basin characteristic data are necessary for training or parameterizing statistical, machine learning, and physical models, and for making predictions across the landscape...
National Stream Summarization: Standardizing Stream-Landscape Summaries
As research and management of natural resources shift from local to regional and national scales, the need for information about aquatic systems to be summarized to multiple scales is becoming more apparent. Recently, four federally funded national stream assessment efforts (USGS Aquatic GAP, USGS National Water-Quality Assessment Program, U.S. Environmental Protection Agency [EPA]...
Understanding the Impacts of Glaciers on Streamflow in Alaska and Washington
Glaciers are a central component to the hydrology of many areas in Alaska and the Pacific Northwest. Glacier melt plays a crucial role in the movement of nutrients through a landscape and into the ocean, and the flow of water into streams that sustain many species. As air temperatures rise, increased rates of glacier melt may have significant impacts to the hydrology and ecology in these...
Evaluation of downscaled General Circulation Model (GCM) output for current conditions and associated error in simulated runoff for CONUS
This project will assess the accuracy of climate drivers (precipitation and temperature) from different sources for current and future conditions. The impact of these drivers on hydrologic response will be using the monthly water balance model (MWBM). The methodology for processing and analysis of these datasets will be automated for when new climate datasets become available on the USGS...
Developing a VisTrails Platform for Modeling Streamflow Hydrology and Projecting Climate Change Effects on Streamflow
Hydrologic models are used throughout the world to forecast and simulate streamflow, inform water management, municipal planning, and ecosystem conservation, and investigate potential effects of climate and land-use change on hydrology. The USGS Modeling of Watershed Systems (MoWS) group is currently developing the infrastructure for a National Hydrologic Model (NHM) to support...
SERAP: Modeling of Hydrologic Systems
A hydrologic model was developed as part of the Southeast Regional Assessment Project using the Precipitation Runoff Modeling System (PRMS), a deterministic, distributed-parameter, process-based system that simulates the effects of precipitation, temperature, and land use on basin hydrology. Streamflow and other components of the hydrologic cycle simulated by PRMS were used to inform...
Filter Total Items: 17
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...
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...
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...
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...
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...
Monthly twelve-digit hydrologic unit code aggregations of the CONUS404 bias adjusted application, 1979-2021 Monthly twelve-digit hydrologic unit code aggregations of the CONUS404 bias adjusted application, 1979-2021
This data release contains accumulated precipitation data from the CONUS404 climate forcing variable subset for hydrologic models, downscaled to 1 km and bias-adjusted for precipitation and temperature (CONUS404-BA; Zhang and others, 2024) from January 1980 through September 2021 that is summarized to a monthly time step and a twelve-digit hydrologic unit code for the spatial extent of...
Estimated Probability of Post-Wildfire Debris-Flow Occurrence and Estimated Volume of Debris Flows from a Pre-Fire Analysis in the Three Lakes Watershed, Grand County, Colorado Estimated Probability of Post-Wildfire Debris-Flow Occurrence and Estimated Volume of Debris Flows from a Pre-Fire Analysis in the Three Lakes Watershed, Grand County, Colorado
Debris flows pose substantial threats to life, property, infrastructure, and water resources. Post-wildfire debris flows may be of catastrophic proportions compared to debris flows occurring in unburned areas. During 2006, the U.S. Geological Survey (USGS), in cooperation with the Northern Colorado Water Conservancy District, initiated a pre-wildfire study to determine the potential for...
Filter Total Items: 46
Integrated Hydro-terrestrial Modeling 2.0: Progress and path forward on building a national capability Integrated Hydro-terrestrial Modeling 2.0: Progress and path forward on building a national capability
Growing societal pressures on U.S. water resources and the challenges inherent in understanding how future water risks may evolve are driving major investments to improve our knowledge of the integrated water cycle. This improved understanding as captured in innovations in our data, knowledge, and modeling capabilities, needs to be accelerated through better integration and coordination...
Authors
Katherine Skalak, Nathalie Voisin, Patrick Read, Ying Fan Reinfelder
CONUS404: The NCAR-USGS 4-km long-term regional hydroclimate reanalysis over the CONUS CONUS404: The NCAR-USGS 4-km long-term regional hydroclimate reanalysis over the CONUS
A unique, high-resolution, hydroclimate reanalysis, 40-plus-year (October 1979–September 2021), 4 km (named as CONUS404), has been created using the Weather Research and Forecasting Model by dynamically downscaling of the fifth-generation European Centre for Medium-Range Weather Forecasts (ECMWF) atmospheric reanalysis of the global climate dataset (ERA5) over the conterminous United...
Authors
R. M. Rasmussen, F. Chen, C. H. Liu, K. Ikeda, A. Prein, J. Kim, T. Schneider, A. Dai, D. Gochis, A. Dugger, Y. Zhang, A. Jaye, J. Dudhia, C. He, M. Harrold, L. Xue, S. Chen, A. Newman, E. Dougherty, R. Abolafia-Rozenzweig, N. Lybarger, Roland J. Viger, David P. Lesmes, Katherine Skalak, John Brakebill, Donald Walter Cline, Krista A. Dunne, K. Rasmussen, G. Miguez-Macho
Benchmarking high-resolution hydrologic model performance of long-term retrospective streamflow simulations in the contiguous United States Benchmarking high-resolution hydrologic model performance of long-term retrospective streamflow simulations in the contiguous United States
Because use of high-resolution hydrologic models is becoming more widespread and estimates are made over large domains, there is a pressing need for systematic evaluation of their performance. Most evaluation efforts to date have focused on smaller basins that have been relatively undisturbed by human activity, but there is also a need to benchmark model performance more comprehensively...
Authors
Erin Towler, Sydney Foks, Aubrey L Dugger, Jesse E. Dickinson, Hedeff I. Essaid, David Gochis, Roland J. Viger, Yongxin Zhang
Integrated hydro-terrestrial modeling: Development of a national capability Integrated hydro-terrestrial modeling: Development of a national capability
Water is one of our most important natural resources and is essential to our national economy and security. Multiple federal government agencies have mission elements that address national needs related to water. Each water-related agency champions a unique science and/or operational mission focused on advancing a portion of the nation’s ability to meet our water-related challenges...
Authors
David P. Lesmes, Jessica Moerman, Tom Torgeson, Bob Vallario, Timothy D. Scheibe, Efi Foufoula-Georgiou, Harry L. Jenter, Ronald L. Bingner, Laura Condon, Brian Cosgrove, Carlos Del Castillo, Charles W Downer, John Eylander, Michael N. Fienen, Nels Frazier, David Gochis, Dave Goodrich, Judson Harvey, Joseph D. Hughes, David Hyndman, John M. Johnston, Forrest Melton, Glenn E. Moglen, David Moulton, Laura K. Lautz, Rajbir Parmar, Brenda Rashleigh, Patrick Reed, Katherine Skalak, Charuleka Varadharajan, Roland J. Viger, Nathalie Voisin, Mark Wahl
Spatiotemporal variability of modeled watershed scale surface-depression storage and runoff for the conterminous United States Spatiotemporal variability of modeled watershed scale surface-depression storage and runoff for the conterminous United States
This study uses the explores the viability of a proxy model calibration strategy through assessment of the spatiotemporal variability of surface-depression storage and runoff generated with the U.S. Geological Survey’s National Hydrologic Model (NHM) infrastructure for hydrologic response units (HRUs; n=109,951) across the conterminous United States (CONUS). Simulated values for each HRU...
Authors
Jessica M. Driscoll, Lauren Hay, Melanie K. Vanderhoof, Roland J. Viger
Simulation of water availability in the Southeastern United States for historical and potential future climate and land-cover conditions Simulation of water availability in the Southeastern United States for historical and potential future climate and land-cover conditions
A study was conducted by the U.S. Geological Survey (USGS), in cooperation with the Gulf Coastal Plains and Ozarks Landscape Conservation Cooperative (GCPO LCC) and the Department of the Interior Southeast Climate Adaptation Science Center, to evaluate the hydrologic response of a daily time step hydrologic model to historical observations and projections of potential climate and land...
Authors
Jacob H. LaFontaine, Rheannon M. Hart, Lauren E. Hay, William H. Farmer, Andy R. Bock, Roland J. Viger, Steven L. Markstrom, R. Steve Regan, Jessica M. Driscoll
sciencebasepy: A Python library for programmatic interaction with the USGS ScienceBase platform sciencebasepy: A Python library for programmatic interaction with the USGS ScienceBase platform
This Python module provides functionality for interacting with the USGS ScienceBase platform: https://www.sciencebase.gov/catalog/ ScienceBase is a Trusted Digital Repository (TDR) in the U.S. Geological Survey (USGS). The platform is developed and maintained by the USGS to provide shared, permission-controlled access to scientific data products and bureau resources. Rather than serving...
Python GIS Flood Tool (pygft) Python GIS Flood Tool (pygft)
The Python GIS Flood Tool (pygft) was designed to process stream, catchment, and elevation datasets in order to assess the extent and depth of flooding for each stream reach. The model itself is light-weight, created with the capability to scale to larger regions or CONUS (conterminous United States) scales.
Science and Products
Building a framework to compute continuous grids of basin characteristics for the conterminous United States
The proposed work will create a seamless pilot dataset of continuous basin characteristics (for example upstream average precipitation, elevation, or dominant land cover type) for the conterminous United States. Basin characteristic data are necessary for training or parameterizing statistical, machine learning, and physical models, and for making predictions across the landscape...
National Stream Summarization: Standardizing Stream-Landscape Summaries
As research and management of natural resources shift from local to regional and national scales, the need for information about aquatic systems to be summarized to multiple scales is becoming more apparent. Recently, four federally funded national stream assessment efforts (USGS Aquatic GAP, USGS National Water-Quality Assessment Program, U.S. Environmental Protection Agency [EPA]...
Understanding the Impacts of Glaciers on Streamflow in Alaska and Washington
Glaciers are a central component to the hydrology of many areas in Alaska and the Pacific Northwest. Glacier melt plays a crucial role in the movement of nutrients through a landscape and into the ocean, and the flow of water into streams that sustain many species. As air temperatures rise, increased rates of glacier melt may have significant impacts to the hydrology and ecology in these...
Evaluation of downscaled General Circulation Model (GCM) output for current conditions and associated error in simulated runoff for CONUS
This project will assess the accuracy of climate drivers (precipitation and temperature) from different sources for current and future conditions. The impact of these drivers on hydrologic response will be using the monthly water balance model (MWBM). The methodology for processing and analysis of these datasets will be automated for when new climate datasets become available on the USGS...
Developing a VisTrails Platform for Modeling Streamflow Hydrology and Projecting Climate Change Effects on Streamflow
Hydrologic models are used throughout the world to forecast and simulate streamflow, inform water management, municipal planning, and ecosystem conservation, and investigate potential effects of climate and land-use change on hydrology. The USGS Modeling of Watershed Systems (MoWS) group is currently developing the infrastructure for a National Hydrologic Model (NHM) to support...
SERAP: Modeling of Hydrologic Systems
A hydrologic model was developed as part of the Southeast Regional Assessment Project using the Precipitation Runoff Modeling System (PRMS), a deterministic, distributed-parameter, process-based system that simulates the effects of precipitation, temperature, and land use on basin hydrology. Streamflow and other components of the hydrologic cycle simulated by PRMS were used to inform...
Filter Total Items: 17
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...
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...
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...
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...
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...
Monthly twelve-digit hydrologic unit code aggregations of the CONUS404 bias adjusted application, 1979-2021 Monthly twelve-digit hydrologic unit code aggregations of the CONUS404 bias adjusted application, 1979-2021
This data release contains accumulated precipitation data from the CONUS404 climate forcing variable subset for hydrologic models, downscaled to 1 km and bias-adjusted for precipitation and temperature (CONUS404-BA; Zhang and others, 2024) from January 1980 through September 2021 that is summarized to a monthly time step and a twelve-digit hydrologic unit code for the spatial extent of...
Estimated Probability of Post-Wildfire Debris-Flow Occurrence and Estimated Volume of Debris Flows from a Pre-Fire Analysis in the Three Lakes Watershed, Grand County, Colorado Estimated Probability of Post-Wildfire Debris-Flow Occurrence and Estimated Volume of Debris Flows from a Pre-Fire Analysis in the Three Lakes Watershed, Grand County, Colorado
Debris flows pose substantial threats to life, property, infrastructure, and water resources. Post-wildfire debris flows may be of catastrophic proportions compared to debris flows occurring in unburned areas. During 2006, the U.S. Geological Survey (USGS), in cooperation with the Northern Colorado Water Conservancy District, initiated a pre-wildfire study to determine the potential for...
Filter Total Items: 46
Integrated Hydro-terrestrial Modeling 2.0: Progress and path forward on building a national capability Integrated Hydro-terrestrial Modeling 2.0: Progress and path forward on building a national capability
Growing societal pressures on U.S. water resources and the challenges inherent in understanding how future water risks may evolve are driving major investments to improve our knowledge of the integrated water cycle. This improved understanding as captured in innovations in our data, knowledge, and modeling capabilities, needs to be accelerated through better integration and coordination...
Authors
Katherine Skalak, Nathalie Voisin, Patrick Read, Ying Fan Reinfelder
CONUS404: The NCAR-USGS 4-km long-term regional hydroclimate reanalysis over the CONUS CONUS404: The NCAR-USGS 4-km long-term regional hydroclimate reanalysis over the CONUS
A unique, high-resolution, hydroclimate reanalysis, 40-plus-year (October 1979–September 2021), 4 km (named as CONUS404), has been created using the Weather Research and Forecasting Model by dynamically downscaling of the fifth-generation European Centre for Medium-Range Weather Forecasts (ECMWF) atmospheric reanalysis of the global climate dataset (ERA5) over the conterminous United...
Authors
R. M. Rasmussen, F. Chen, C. H. Liu, K. Ikeda, A. Prein, J. Kim, T. Schneider, A. Dai, D. Gochis, A. Dugger, Y. Zhang, A. Jaye, J. Dudhia, C. He, M. Harrold, L. Xue, S. Chen, A. Newman, E. Dougherty, R. Abolafia-Rozenzweig, N. Lybarger, Roland J. Viger, David P. Lesmes, Katherine Skalak, John Brakebill, Donald Walter Cline, Krista A. Dunne, K. Rasmussen, G. Miguez-Macho
Benchmarking high-resolution hydrologic model performance of long-term retrospective streamflow simulations in the contiguous United States Benchmarking high-resolution hydrologic model performance of long-term retrospective streamflow simulations in the contiguous United States
Because use of high-resolution hydrologic models is becoming more widespread and estimates are made over large domains, there is a pressing need for systematic evaluation of their performance. Most evaluation efforts to date have focused on smaller basins that have been relatively undisturbed by human activity, but there is also a need to benchmark model performance more comprehensively...
Authors
Erin Towler, Sydney Foks, Aubrey L Dugger, Jesse E. Dickinson, Hedeff I. Essaid, David Gochis, Roland J. Viger, Yongxin Zhang
Integrated hydro-terrestrial modeling: Development of a national capability Integrated hydro-terrestrial modeling: Development of a national capability
Water is one of our most important natural resources and is essential to our national economy and security. Multiple federal government agencies have mission elements that address national needs related to water. Each water-related agency champions a unique science and/or operational mission focused on advancing a portion of the nation’s ability to meet our water-related challenges...
Authors
David P. Lesmes, Jessica Moerman, Tom Torgeson, Bob Vallario, Timothy D. Scheibe, Efi Foufoula-Georgiou, Harry L. Jenter, Ronald L. Bingner, Laura Condon, Brian Cosgrove, Carlos Del Castillo, Charles W Downer, John Eylander, Michael N. Fienen, Nels Frazier, David Gochis, Dave Goodrich, Judson Harvey, Joseph D. Hughes, David Hyndman, John M. Johnston, Forrest Melton, Glenn E. Moglen, David Moulton, Laura K. Lautz, Rajbir Parmar, Brenda Rashleigh, Patrick Reed, Katherine Skalak, Charuleka Varadharajan, Roland J. Viger, Nathalie Voisin, Mark Wahl
Spatiotemporal variability of modeled watershed scale surface-depression storage and runoff for the conterminous United States Spatiotemporal variability of modeled watershed scale surface-depression storage and runoff for the conterminous United States
This study uses the explores the viability of a proxy model calibration strategy through assessment of the spatiotemporal variability of surface-depression storage and runoff generated with the U.S. Geological Survey’s National Hydrologic Model (NHM) infrastructure for hydrologic response units (HRUs; n=109,951) across the conterminous United States (CONUS). Simulated values for each HRU...
Authors
Jessica M. Driscoll, Lauren Hay, Melanie K. Vanderhoof, Roland J. Viger
Simulation of water availability in the Southeastern United States for historical and potential future climate and land-cover conditions Simulation of water availability in the Southeastern United States for historical and potential future climate and land-cover conditions
A study was conducted by the U.S. Geological Survey (USGS), in cooperation with the Gulf Coastal Plains and Ozarks Landscape Conservation Cooperative (GCPO LCC) and the Department of the Interior Southeast Climate Adaptation Science Center, to evaluate the hydrologic response of a daily time step hydrologic model to historical observations and projections of potential climate and land...
Authors
Jacob H. LaFontaine, Rheannon M. Hart, Lauren E. Hay, William H. Farmer, Andy R. Bock, Roland J. Viger, Steven L. Markstrom, R. Steve Regan, Jessica M. Driscoll
sciencebasepy: A Python library for programmatic interaction with the USGS ScienceBase platform sciencebasepy: A Python library for programmatic interaction with the USGS ScienceBase platform
This Python module provides functionality for interacting with the USGS ScienceBase platform: https://www.sciencebase.gov/catalog/ ScienceBase is a Trusted Digital Repository (TDR) in the U.S. Geological Survey (USGS). The platform is developed and maintained by the USGS to provide shared, permission-controlled access to scientific data products and bureau resources. Rather than serving...
Python GIS Flood Tool (pygft) Python GIS Flood Tool (pygft)
The Python GIS Flood Tool (pygft) was designed to process stream, catchment, and elevation datasets in order to assess the extent and depth of flooding for each stream reach. The model itself is light-weight, created with the capability to scale to larger regions or CONUS (conterminous United States) scales.