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Hydrologic simulations using projected climate data as input to the Precipitation-Runoff Modeling System (PRMS) for the Trinity River Basin Integrated Water Availability Assessment, Texas, 2023
The Trinity River Basin is a major source of water for a large part of Texas that includes the rapidly growing Dallas-Fort Worth and Houston metropolitan areas. An application of the Precipitation-Runoff Modeling System (PRMS) was used to conduct hydrologic simulations for the Trinity River Basin surface water model. Climate variables including daily precipitation, daily maximum temperature, and daily minimum temperature were used to conduct hydrologic simulations to evaluate annual hydrologic response to changes in climate variables from 2018 to 2099. Critical in PRMS calculations, calibrated parameters or attributes are assigned to hydrologic response units (HRU) and stream segments. Outputs of the model include annual water budget variables such as precipitation, actual evapotranspiration, Hortonian surface runoff, and groundwater recharge.
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Hydrologic simulations using projected climate data as input to the Precipitation-Runoff Modeling System (PRMS) for the Trinity River Basin Integrated Water Availability Assessment, Texas, 2023
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The Rio Grande Basin Study (Basin Study) is a stakeholder-led project funded through the U.S. Bureau of Reclamation that is developing climate adaptation strategies to address the growing gap between water supply and demand in the Upper Rio Grande Basin in Colorado, New Mexico, and Texas. The role of the USGS in the Basin Study is to simulate future streamflow using downscaled climate model projection data as input to the Upper Rio Grande Basin Precipitation-Runoff Modeling System (PRMS) (Chavarria and others, 2020). Simulated streamflow for 27 climate scenarios at 63 sites along the mainstem Rio Grande and its tributaries is used as baseline hydrologic response to climate-change emission scenarios and downscaling methods. This data release contains projected climate data (precipitation, maximum temperature, minimum temperature) from 27 climate scenarios used as input to PRMS, and PRMS simulated streamflow at 63 sites in the Upper Rio Grande Basin under each of the 27 scenarios.
Hydrologic simulations using projected climate data as input to the Precipitation-Runoff Modeling System (PRMS) for the Trinity River Basin Integrated Water Availability Assessment, Texas, 2023
공공데이터포털
The Trinity River Basin is a major source of water for a large part of Texas that includes the rapidly growing Dallas-Fort Worth and Houston metropolitan areas. An application of the Precipitation-Runoff Modeling System (PRMS) was used to conduct hydrologic simulations for the Trinity River Basin surface water model. Climate variables including daily precipitation, daily maximum temperature, and daily minimum temperature were used to conduct hydrologic simulations to evaluate annual hydrologic response to changes in climate variables from 2018 to 2099. Critical in PRMS calculations, calibrated parameters or attributes are assigned to hydrologic response units (HRU) and stream segments. Outputs of the model include annual water budget variables such as precipitation, actual evapotranspiration, Hortonian surface runoff, and groundwater recharge.
Model input and output from Precipitation Runoff Modeling System (PRMS) simulation of the Red River basin 1981-2016
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This data release contains input and output data from hydrologic simulations of streamflow conditions in the Red River Basin (RRB) using the Precipitation-Runoff Modeling System (PRMS). The RRB PRMS model predicts components of the water balance at 3065 hydrologic response units (HRU) and streamflow for 1614 stream segments within the model domain for the simulation period 1981 to 2016. The data release contains two shapefiles: (1) a map of HRUs in the model domain and (2) a map of stream segments in the model domain. In addition to the shapefiles, the data release includes files containing the calibrated parameters of the RRB PRMS model as well as model inputs and outputs. The model inputs are (1) climate data, (2) measured streamflow data, (3) water-use data, and (4) land-cover change data. Model outputs include daily time step predictions of groundwater flow, total outflow, surface runoff, and subsurface flow components for each stream segment in the model domain. The model also produces daily estimates of groundwater flow, precipitation, solar radiation, surface runoff, subsurface flow, and outflow; the daily output is aggregated to monthly mean values for each HRU in the model domain. This data release accompanies the documentation of the RRB PRMS model in a U.S. Geological Survey Scientific Investigations Report by Roland (2023).
Model input and output from Precipitation Runoff Modeling System (PRMS) simulation of the Red River basin 1981-2016
공공데이터포털
This data release contains input and output data from hydrologic simulations of streamflow conditions in the Red River Basin (RRB) using the Precipitation-Runoff Modeling System (PRMS). The RRB PRMS model predicts components of the water balance at 3065 hydrologic response units (HRU) and streamflow for 1614 stream segments within the model domain for the simulation period 1981 to 2016. The data release contains two shapefiles: (1) a map of HRUs in the model domain and (2) a map of stream segments in the model domain. In addition to the shapefiles, the data release includes files containing the calibrated parameters of the RRB PRMS model as well as model inputs and outputs. The model inputs are (1) climate data, (2) measured streamflow data, (3) water-use data, and (4) land-cover change data. Model outputs include daily time step predictions of groundwater flow, total outflow, surface runoff, and subsurface flow components for each stream segment in the model domain. The model also produces daily estimates of groundwater flow, precipitation, solar radiation, surface runoff, subsurface flow, and outflow; the daily output is aggregated to monthly mean values for each HRU in the model domain. This data release accompanies the documentation of the RRB PRMS model in a U.S. Geological Survey Scientific Investigations Report by Roland (2023).
Model Input and Output 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
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This data release contains inputs for and outputs from hydrologic simulations for the conterminous United States (CONUS) using the Precipitation Runoff Modeling System (PRMS) version 5.1.0 (https://www.usgs.gov/software/precipitation-runoff-modeling-system-prms) and the USGS National Hydrologic Model infrastructure (NHM, Regan and others, 2018). These simulations were developed to provide estimates of the water budget and statistics of streamflow for historical and potential future conditions using atmospheric forcing data from Coupled Model Intercomparison Project phase 5 (CMIP5). Specific file types include: 1) input forcings of minimum air temperature, maximum air temperature, and daily precipitation derived from general circulation models (GCM, table1_GCMs_used.csv), 2) output files of simulated streamflow for each stream segment in the model, 3) GIS files of the model hydrologic response units and stream segments, and 4) a suite of streamflow statistics for each modeled segment. This data release complements data release (https://doi.org/10.5066/P9CVHLMB) which contains historical simulations based on historically observed atmospheric forcings rather than GCM-derived forcings. The same parameter files and model configuration files were used for all model runs and are available in that data release.
Application of the National Hydrologic Model Infrastructure with the Precipitation-Runoff Modeling System (NHM-PRMS), 1950-2010, Maurer Calibration
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This data release contains inputs for and outputs from hydrologic simulations for the conterminous United States (CONUS) using the Precipitation Runoff Modeling System (PRMS) version 5.1.0 and the USGS National Hydrologic Model infrastructure (NHM, Regan and others, 2018). These simulations were developed to provide estimates of the water budget for the period 1950 to 2010. Specific file types include: 1) input atmospheric forcings of minimum air temperature, maximum air temperature, and daily precipitation accumulation derived from a gridded observation-based dataset developed by Maurer and others (2002), 2) input parameter files for static and dynamic land cover conditions, and 3) output files of simulated water budget components for each hydrologic response unit and stream segment. Figure 1 shows the calibration methodology that was used for the model application (see LaFontaine and others, 2019 for additional information). Table 1 lists the streamgages that are included in the model application. Table 2 lists the calibration datasets that were used in addition to USGS measured streamflow. The first three years of the simulations are considered 'model initialization' and should not be included in any subsequent analsysis.
Application of the National Hydrologic Model Infrastructure with the Precipitation-Runoff Modeling System (NHM-PRMS), 1950-2010, Maurer Calibration
공공데이터포털
This data release contains inputs for and outputs from hydrologic simulations for the conterminous United States (CONUS) using the Precipitation Runoff Modeling System (PRMS) version 5.1.0 and the USGS National Hydrologic Model infrastructure (NHM, Regan and others, 2018). These simulations were developed to provide estimates of the water budget for the period 1950 to 2010. Specific file types include: 1) input atmospheric forcings of minimum air temperature, maximum air temperature, and daily precipitation accumulation derived from a gridded observation-based dataset developed by Maurer and others (2002), 2) input parameter files for static and dynamic land cover conditions, and 3) output files of simulated water budget components for each hydrologic response unit and stream segment. Figure 1 shows the calibration methodology that was used for the model application (see LaFontaine and others, 2019 for additional information). Table 1 lists the streamgages that are included in the model application. Table 2 lists the calibration datasets that were used in addition to USGS measured streamflow. The first three years of the simulations are considered 'model initialization' and should not be included in any subsequent analsysis.
Application of the National Hydrologic Model Infrastructure with the Precipitation-Runoff Modeling System (NHM-PRMS), 1950-2010, Maurer Calibration
공공데이터포털
This data release contains inputs for and outputs from hydrologic simulations for the conterminous United States (CONUS) using the Precipitation Runoff Modeling System (PRMS) version 5.1.0 and the USGS National Hydrologic Model infrastructure (NHM, Regan and others, 2018). These simulations were developed to provide estimates of the water budget for the period 1950 to 2010. Specific file types include: 1) input atmospheric forcings of minimum air temperature, maximum air temperature, and daily precipitation accumulation derived from a gridded observation-based dataset developed by Maurer and others (2002), 2) input parameter files for static and dynamic land cover conditions, and 3) output files of simulated water budget components for each hydrologic response unit and stream segment. Figure 1 shows the calibration methodology that was used for the model application (see LaFontaine and others, 2019 for additional information). Table 1 lists the streamgages that are included in the model application. Table 2 lists the calibration datasets that were used in addition to USGS measured streamflow. The first three years of the simulations are considered 'model initialization' and should not be included in any subsequent analsysis.
Application of the National Hydrologic Model Infrastructure with the Precipitation-Runoff Modeling System (NHM-PRMS), 1980-2016, Daymet Version 3 calibration
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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.