Filters: partyWithName: Shaleene B Chavarria (X) > partyWithName: C David Moeser (X)
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This dataset contains projected climate data (precipitation, maximum temperature, minimum temperature) from 27 climate scenarios used as input to the Precipitation-Runoff Modeling System (PRMS), and baseline PRMS simulated streamflow at 63 sites in the Upper Rio Grande Basin under each of the 27 scenarios. Projected climate data, obtained from the USGS South Central Climate Adaptation Science Center (Wooten, 2020), were generated using three general circulation models, run under three emission scenarios (RCP 2.6, RCP 4.5, RCP 8.5), and downscaled using three different methods (delta SD, equidistant quantile mapping, piecewise asynchronous regression). Together, the three models, RCPs, and downscaling methods resulted...
This dataset contains input parameter and data files, as well as output files for simulations before calibration (pre-calibration) and after calibration (post-calibration) of solar radiation and potential evapotranspiration (ET) parameters. Simulated solar radiation and potential ET for nine near-native subbasins and three selected subareas [16, 71, 124] are included for parts of the Upper Rio Grande Basin in Colorado, New Mexico, Texas, and northern Mexico using the Precipitation-Runoff Modeling System (PRMS). Input data include pre-calibration input parameters for the entire Upper Rio Grande Basin developed from the National Hydrologic Model (NHM) parameter database, and model parameters after calibration (post-calibration)...
The Rio Grande is a vital water source for the southwestern States of Colorado, New Mexico, and Texas and for northern Mexico. The river serves as the primary source of water for irrigation in the region, has many environmental and recreational uses, and is used by more than 13 million people including those in the Cities of Albuquerque and Las Cruces, New Mexico; El Paso, Texas; and Ciudad Juárez, Chihuahua, Mexico. However, concern is growing over the increasing gap between water supply and demand in the Upper Rio Grande Basin. As populations increase and agricultural crop patterns change, demands for water are increasing, at the same time the region is undergoing a decrease in supply due to drought and climate...
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This dataset contains input parameter and data files, as well as output files for simulations prior to the distribution of parameters from near-native subbasins to uncalibrated hydrologic response units (HRUs) (pre-distribution) and after parameters are distributed to HRUs (post-distribution). Simulated and observed streamflow for sites along the mainstem of the Rio Grande River are included for parts of the Upper Rio Grande Basin in Colorado, New Mexico, Texas, and northern Mexico using the Precipitation-Runoff Modeling System (PRMS). Input data include pre-distribution input parameters for the entire Upper Rio Grande Basin. Pre-distribution parameters used as input to PRMS for step 3 are the post-calibration parameters...
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...
The Rio Grande is a vital water source for the southwestern States of Colorado, New Mexico, and Texas and for northern Mexico. Because streamflow in the basin is highly altered, disentangling the impacts of climate change and changes in streamflow due to anthropogenic influences such as dams, diversions, and other forms of water use is difficult. Therefore, a model that simulates naturalized flow (defined as streamflow that would occur in the absence of anthropogenic modifications) was developed to determine to what degree changes in streamflow can be attributed to potential changes in future temperature and precipitation without quantifying future changes in anthropogenic influences. In this study, the calibrated...
This data release contains inputs for and outputs from hydrologic simulations of the Upper Rio Hondo Subbasin, New Mexico using the Precipitation-Runoff Modeling System (PRMS). Input data for the entire Upper Rio Hondo Subbasin were developed, but output data only from the North Fork Eagle Creek subwatershed were used. Input data include parameter files for two PRMS models calibrated to prefire conditions and postfire conditions. Synthetic flow data used to calibrate PRMS for prefire conditions and postfire conditions are also included. Output data include output variable files for four PRMS models: two calibrated models (one for prefire conditions and one for postfire conditions) and two models used for scenarios...
This data release contains input and output data from hydrologic simulations of naturalized or near-native streamflow conditions in the Upper Rio Grande Basin (URGB) in Colorado, New Mexico, Texas, and northern Mexico by using the Precipitation-Runoff Modeling System (PRMS). The Upper Rio Grande Basin PRMS model was calibrated in a three step process by (1) calibrating solar radiation and potential evapotranspiration parameters by subarea for hydrologic response units (HRU) in the model domain, (2) calibrating streamflow parameters in nine subbasins identified to be “near-native” subbasins, or basins with low anthropogenic disturbance, and (3) distributing calibrated parameters from near-native subbasins to uncalibrated...
This dataset contains input parameter and data files, as well as output files for simulations prior to (pre-calibration) and after calibration (post-calibration) of streamflow parameters for nine near-native subbasins. Simulated and observed streamflow for nine near-native subbasins are included for parts of the Upper Rio Grande Basin in Colorado, New Mexico, Texas, and northern Mexico using the Precipitation-Runoff Modeling System (PRMS). Input data include pre-calibration input parameters for the entire Upper Rio Grande Basin. Pre-calibrated parameters used as input to PRMS for step 2 are the post-calibration parameters in Step 1-Solar Radiation and Potential ET calibration. Post-calibration model parameters include...
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