Flow-Conditioned Parameter Grids for the Contiguous United States: A Pilot, Seamless Basin Characteristic Dataset
공공데이터포털
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 maximum daily air temperature. Additional datasets of upstream basin area and binary stream presence-absence are provided to help validate queries against the flow-conditioned data. These data are provided as virtual raster tile (vrt) mosaics of cloud optimized GeoTIFFs to allow point queries of the data (see Distribution Information) without requiring downloading the whole dataset.
Basin Characteristic Flow-Conditioned Parameter Grids for Wyoming StreamStats
공공데이터포털
This dataset was produced by the U.S. Geological Survey (USGS) in cooperation with the Wyoming Water Development Office for the purpose of calculating basin characteristics in preparation for the Wyoming StreamStats application. These datasets are raster representations of various environmental, geological, and land use attributes with the Wyoming StreamStats study area and will be served in the Wyoming StreamStats application to describe delineated watersheds. The StreamStats application provides access to spatial analytical tools that are useful for water-resources planning and management, and for engineering and design purposes. The map-based user interface can be used to delineate drainage areas, get basin characteristics and estimates of flow statistics. To aid in parameterization of mechanistic, statistical, and machine learning models of hydrologic systems in the Wyoming StreamStats study area, flow-conditioned parameter grids (FCPGs) have been generated describing upstream basin elevation, slope, level III and IV ecoregion codes, hydrologic regions, land cover classification, waterbodies, first of the month snow water equivalent (Jan-Jun), soil type, average soil permeability, evapotranspiration Spring and Summer, and modeled 30-year normal climatologies of average annual total precipitation, average monthly total precipitation, average annual daily mean temperature, and average monthly daily mean temperature values within the Wyoming StreamStats study area.
Application of the National Hydrologic Model Infrastructure with the Precipitation-Runoff Modeling System (NHM-PRMS), 1980-2016, Daymet Version 3 calibration
공공데이터포털
This data release contains inputs and outputs for hydrologic simulations of the conterminous United States (CONUS) using the National Hydrologic Model (NHM) application of the Precipitation Runoff Modeling System (PRMS) in ASCII and binary format and explanatory graphics in pdf format. These simulations were developed to provide estimates of water availability for historical conditions for the period October 1, 1980 to September 30, 2016 for five different calibration configurations; the first three years of the simulation should be considered the initialization period and should not be used for subsequent analysis. The five versions of model parameters and associated model output included in this data release are described in table 1 and in the Supplemental Information section of this metadata record. Table 2 provides information about the baseline datasets used for model calibration for each of the five parameter configurations. Figure 1 shows a schematic of the multi-step calibration procedure used to develop the model parameters. Table 3 describes the 36 model output variables that are included in the five attached folders. Five .tar folders are named according to the simulation configuration in table 1 and include the 36-model output variable files. Table 4 provides information about the 8,274 streamgage locations that are included in the NHM-PRMS. The NHM-PRMS parameter and control files for each of the five simulations are located on the child pages associated with this data release. The PRMS climate forcing input files for the simulations are in the DAYMET_CBH.zip folder. Summary files by streamgage of measured and simulated streamflow for the byHRU, byHRU_musk, and byHRU_musk_obs simulations are in the Streamgage_location_simulations_5999.zip folder. Any time series data in the model output files prior to the October 1, 1983 start date should be considered part of the model initialization period and should not be used. Please refer to the Supplemental Information element of this metadata record for more information about the model calibration, inputs, outputs, and summaries included in this data release.
Application of the National Hydrologic Model Infrastructure with the Precipitation-Runoff Modeling System (NHM-PRMS), 1980-2016, Daymet Version 3 calibration
공공데이터포털
This data release contains inputs and outputs for hydrologic simulations of the conterminous United States (CONUS) using the National Hydrologic Model (NHM) application of the Precipitation Runoff Modeling System (PRMS) in ASCII and binary format and explanatory graphics in pdf format. These simulations were developed to provide estimates of water availability for historical conditions for the period October 1, 1980 to September 30, 2016 for five different calibration configurations; the first three years of the simulation should be considered the initialization period and should not be used for subsequent analysis. The five versions of model parameters and associated model output included in this data release are described in table 1 and in the Supplemental Information section of this metadata record. Table 2 provides information about the baseline datasets used for model calibration for each of the five parameter configurations. Figure 1 shows a schematic of the multi-step calibration procedure used to develop the model parameters. Table 3 describes the 36 model output variables that are included in the five attached folders. Five .tar folders are named according to the simulation configuration in table 1 and include the 36-model output variable files. Table 4 provides information about the 8,274 streamgage locations that are included in the NHM-PRMS. The NHM-PRMS parameter and control files for each of the five simulations are located on the child pages associated with this data release. The PRMS climate forcing input files for the simulations are in the DAYMET_CBH.zip folder. Summary files by streamgage of measured and simulated streamflow for the byHRU, byHRU_musk, and byHRU_musk_obs simulations are in the Streamgage_location_simulations_5999.zip folder. Any time series data in the model output files prior to the October 1, 1983 start date should be considered part of the model initialization period and should not be used. Please refer to the Supplemental Information element of this metadata record for more information about the model calibration, inputs, outputs, and summaries included in this data release.
Application of the WRF-Hydro Modeling System for the Conterminous United States at the NHDPlus version 2 Spatial Resolution Using the Bias Adjusted Version of the CONUS404 Atmospheric Forcings (CONUS404BA), Water Years 2010-2021
공공데이터포털
This data release contains inputs for and outputs from a hydrologic simulation for the conterminous United States (CONUS) using the WRF-Hydro modeling system version 5.2.0 (Gochis and others, 2020) at the NHDPlus version 2 spatial resolution. This simulation was developed to provide water budget estimates for the period 10/1/2009 to 9/30/2021 using the bias adjusted version of the CONUS404 (CONUS404BA) atmospheric forcings dataset (Zhang and others, 2024). The WRF-Hydro model input files are included within this data release and consist of two configuration files, two simulation restart files, nine parameter files, and five types of output files. Each output type has a file for each timestep of the model application simulation. All model files are archived on the U.S. Geological Survey's Black Pearl tape drive system. The data can be accessed through a Globus endpoint here: https://app.globus.org/file-manager/collections/bf01ea19-425e-4434-809f-4e44ac550b1c/overview. The Entity and Attribute element of the metadata file contains the data descriptions for all the variables in each of the five types of output files. Please refer to the Supplemental Information element of this metadata record for further information on this model application.
Application of the WRF-Hydro Modeling System for the Conterminous United States at the NHDPlus version 2 Spatial Resolution Using the Bias Adjusted Version of the CONUS404 Atmospheric Forcings (CONUS404BA), Water Years 2010-2021
공공데이터포털
This data release contains inputs for and outputs from a hydrologic simulation for the conterminous United States (CONUS) using the WRF-Hydro modeling system version 5.2.0 (Gochis and others, 2020) at the NHDPlus version 2 spatial resolution. This simulation was developed to provide water budget estimates for the period 10/1/2009 to 9/30/2021 using the bias adjusted version of the CONUS404 (CONUS404BA) atmospheric forcings dataset (Zhang and others, 2024). The WRF-Hydro model input files are included within this data release and consist of two configuration files, two simulation restart files, nine parameter files, and five types of output files. Each output type has a file for each timestep of the model application simulation. All model files are archived on the U.S. Geological Survey's Black Pearl tape drive system. The data can be accessed through a Globus endpoint here: https://app.globus.org/file-manager/collections/bf01ea19-425e-4434-809f-4e44ac550b1c/overview. The Entity and Attribute element of the metadata file contains the data descriptions for all the variables in each of the five types of output files. Please refer to the Supplemental Information element of this metadata record for further information on this model application.
Streamflow Statistics for Hydrologic Simulations for the Conterminous United States for Historical and Future Conditions Using the National Hydrologic Model Infrastructure (NHM) and the Coupled Model Intercomparison Project Phase 5 (CMIP5), 1950 - 2100
공공데이터포털
The continental United States (CONUS) was modeled to produce simulations of historical and potential future streamflow using the Precipitation-Runoff Modeling System (PRMS) application of the USGS National Hydrologic Model infrastructure (NHM; Regan and others, 2018). This child page specifically contains a suite of 52 streamflow metrics. These metrics were computed using daily outputs of runoff from HRUs (PRMS variable hru_outflow) and streamflow from the model stream segments (PRMS variable seg_outflow) for all historical and future simulations (table1_GCMs_used.csv) with both static and dynamic land cover parameters. These streamflow statistics describe the duration, frequency, magnitude, rate of change, and timing of streamflow computed for historical and future simulation periods (streamflow_statistics_description_table.csv).
Streamflow Statistics for Hydrologic Simulations for the Conterminous United States for Historical and Future Conditions Using the National Hydrologic Model Infrastructure (NHM) and the Coupled Model Intercomparison Project Phase 5 (CMIP5), 1950 - 2100
공공데이터포털
The continental United States (CONUS) was modeled to produce simulations of historical and potential future streamflow using the Precipitation-Runoff Modeling System (PRMS) application of the USGS National Hydrologic Model infrastructure (NHM; Regan and others, 2018). This child page specifically contains a suite of 52 streamflow metrics. These metrics were computed using daily outputs of runoff from HRUs (PRMS variable hru_outflow) and streamflow from the model stream segments (PRMS variable seg_outflow) for all historical and future simulations (table1_GCMs_used.csv) with both static and dynamic land cover parameters. These streamflow statistics describe the duration, frequency, magnitude, rate of change, and timing of streamflow computed for historical and future simulation periods (streamflow_statistics_description_table.csv).