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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 Publicly available and previously unpublished data were used to assess these resources and effects and to identify data gaps in the Organ Mountains-Desert Peaks National Monument area.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 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 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...
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