Filters: partyWithName: Shaleene B Chavarria (X) > partyWithName: Zachary M Shephard (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)...
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...
This U.S. Geological Survey (USGS) data release presents the geospatial data used to assess the hydrologic and soil resources and the potential effects from grazing, infrastructure, and land-management decisions in the Bureau of Land Management Organ Mountains-Desert Peaks National Monument, New Mexico. Publicly available and previously unpublished data were used to assess these resources and effects and to identify data gaps in the Organ Mountains-Desert Peaks National Monument area. Data created from already published data such as landform, infiltration, geology, and grazing potential coverages are also included in this data release. These data support the following publication: Blake, J.M., Mitchell, A.C.,...
The Rangeland Hydrologic Erosion Model (RHEM) is an online model developed by the United States Department of Agriculture that is used to predict erosion and runoff in rangelands. The model was used to determine runoff and erosion predicitions for five different scenarios in the Organ Mountains-Desert Peaks National Monument. The five scenarios that RHEM was used to look at in the monument include current conditions as of 2016; climate variability; scrub encroachment; drought, heavy grazing, or land-use pressure; and vegetation removal. The inputs for each scenario were created using an R script and compiled into separate csv files. For the purpose of this data release, the five csv files were then compiled into...
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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...
This U.S. Geological Survey (USGS) data release presents the geospatial data used to assess the hydrologic and soil resources of the Organ Mountains-Desert Peaks National Monument managed by the U.S. Bureau of Land Management (BLM) in Doña Ana County, New Mexico. The USGS, in cooperation with the BLM, conducted a study to assess the hydrologic and soil resources and potential effects of infrastructure and grazing within the monument area. Publicly available data as well as data provided by the BLM were used to assess these resources and effects and to identify data gaps in the monument area. The input and output files for the Rangeland Hydrologic Erosion Model are also included in this data release. This model was...
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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