Building a framework to compute continuous grids of basin characteristics for the conterminous United States
Completed
By Community for Data Integration (CDI)
April 20, 2020
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, particularly in areas where there are no observations. The pilot dataset will be accessible to the public via an interactive map and Web-based query service. The pilot dataset, USGS software used to produce it, and a publication on the processing methods will be generated. This work represents a substantial addition to USGS data services by delivering a suite of basin characteristics at every location in the conterminous United States, codifying the software and processing techniques needed to produce such a dataset, and delivering the data in both human and machine-readable formats.
Principal Investigator : Theodore B Barnhart
Co-Investigator : Thomas R Sando, Peter M McCarthy
Cooperator/Partner : Roland Viger, Seth A Siefken, Toby L Welborn
Principal Investigator : Theodore B Barnhart
Co-Investigator : Thomas R Sando, Peter M McCarthy
Cooperator/Partner : Roland Viger, Seth A Siefken, Toby L Welborn
- Source: USGS Sciencebase (id: 5e9da99c82ce172707fb8c8f)
Flow-Conditioned Parameter Grids for the Contiguous United States: A Pilot, Seamless Basin Characteristic Dataset
Abstract To aid in parameterization of mechanistic, statistical, and machine learning models of hydrologic systems in the contiguous United States (CONUS), flow-conditioned parameter grids (FCPGs) have been generated describing upstream basin mean elevation, slope, land cover class, latitude, and 30-year climatologies of mean total annual precipitation, minimum daily air temperature, and...
Flow-Conditioned Parameter Grid Tools
The Flow-Conditioned Parameter Grid (FCPG) Tools are a Python 3 library to make FCPGs for either two-digit Hydrologic Unit Code (HUC2) regions, four-digit Hydrologic Unit Code (HUC4) regions, or other geospatial tiling schemes. These tools can be used in a Linux-based high performance computing (HPC) environment or locally on your system.
Theodore B. Barnhart
Research Physical Scientist
Research Physical Scientist
Email
Phone
Roy Sando
Supervisory Research Physical Scientist
Supervisory Research Physical Scientist
Email
Phone
Roland J Viger (Former Employee)
Chief, Geo-Intelligence Branch
Chief, Geo-Intelligence Branch
Peter M McCarthy
National StreamStats Coordinator
National StreamStats Coordinator
Email
Phone
Seth Siefken
Hydrologist - Civil Engineering
Hydrologist - Civil Engineering
Email
Phone
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, particularly in areas where there are no observations. The pilot dataset will be accessible to the public via an interactive map and Web-based query service. The pilot dataset, USGS software used to produce it, and a publication on the processing methods will be generated. This work represents a substantial addition to USGS data services by delivering a suite of basin characteristics at every location in the conterminous United States, codifying the software and processing techniques needed to produce such a dataset, and delivering the data in both human and machine-readable formats.
Principal Investigator : Theodore B Barnhart
Co-Investigator : Thomas R Sando, Peter M McCarthy
Cooperator/Partner : Roland Viger, Seth A Siefken, Toby L Welborn
Principal Investigator : Theodore B Barnhart
Co-Investigator : Thomas R Sando, Peter M McCarthy
Cooperator/Partner : Roland Viger, Seth A Siefken, Toby L Welborn
- Source: USGS Sciencebase (id: 5e9da99c82ce172707fb8c8f)
Flow-Conditioned Parameter Grids for the Contiguous United States: A Pilot, Seamless Basin Characteristic Dataset
Abstract To aid in parameterization of mechanistic, statistical, and machine learning models of hydrologic systems in the contiguous United States (CONUS), flow-conditioned parameter grids (FCPGs) have been generated describing upstream basin mean elevation, slope, land cover class, latitude, and 30-year climatologies of mean total annual precipitation, minimum daily air temperature, and...
Flow-Conditioned Parameter Grid Tools
The Flow-Conditioned Parameter Grid (FCPG) Tools are a Python 3 library to make FCPGs for either two-digit Hydrologic Unit Code (HUC2) regions, four-digit Hydrologic Unit Code (HUC4) regions, or other geospatial tiling schemes. These tools can be used in a Linux-based high performance computing (HPC) environment or locally on your system.
Theodore B. Barnhart
Research Physical Scientist
Research Physical Scientist
Email
Phone
Roy Sando
Supervisory Research Physical Scientist
Supervisory Research Physical Scientist
Email
Phone
Roland J Viger (Former Employee)
Chief, Geo-Intelligence Branch
Chief, Geo-Intelligence Branch
Peter M McCarthy
National StreamStats Coordinator
National StreamStats Coordinator
Email
Phone
Seth Siefken
Hydrologist - Civil Engineering
Hydrologist - Civil Engineering
Email
Phone