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The Rio Grande Transboundary Integrated Hydrologic Model (RGTIHM), which was originally developed by Hanson and others (2020) (https://doi.org/10.3133/sir20195120), was updated and recalibrated to minimize the biases in RGTIHM’s simulation of streamflow and to incorporate new estimates of historical agricultural consumptive use in the study area. The RGTIHM was developed through an interagency effort between the U.S. Geological Survey (USGS) and the Bureau of Reclamation (Reclamation) to provide a tool for analyzing the hydrologic system response to the historical (March 1940 through 2014) evolution of water use and potential changes in water supplies and demands in the Hatch Valley (also known as Rincon Valley...
Situated in a remote corner of northwestern New Mexico, Chaco Culture National Historical Park (CCNHP) was once the center of a sophisticated social, political and architectural civilization with a 50,000-square mile sphere of influence. The park protects the greatest concentration of Chacoan historical sites in the American Southwest and is arguably the most significant prehistoric site in North America. Following decades of unsuccessful attempts to develop usable near-surface water sources, the National Park Service constructed a 3,100-foot deep well into the Gallup Sandstone aquifer in 1972, providing the park with the first reliable drinking water source since it was established in 1907. The ~100-foot thick...
Digital hydrologic and geospatial data for the Rio Grande transboundary integrated hydrologic model and water-availability analysis, New Mexico and Texas, United States, and Northern Chihuahua, Mexico
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 Publicly available and previously unpublished data were used to assess these resources and effects and to identify data gaps in the Organ Mountains-Desert Peaks National Monument area.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 U.S. Geological Survey (USGS) data release presents the geospatial data used to assess the hydrologic resources and the potential effects from oil and gas development in the Bureau of Land Management Tri-County Planning Area, Sierra, Doña Ana, and Otero Counties, New Mexico. Publicly available data were used to assess these resources and effects and to identify data gaps in the Tri-County planning area. These data support the following publication: Blake, J.M., Miltenberger, K.E., Stewart, A.M., Ritchie, A.B., Montoya, J., Durr, C., McHugh, A.R., and Charles, E.G., in press, Assessment of Water Resources and the Potential Effects from Oil and Gas Development in the Bureau of Land Management Tri-County Planning...
This data release contains model input and output data associated with a published report (The effects of wildfire on snow water resources estimated from canopy disturbance patterns and meteorological conditions [Moeser, Broxton and Harpold, 2019]) where specific descriptions of the data can be found. The input data are derived from pre- and post-fire aerial LiDAR acquired in June 2010 and May 2012 respectively, for a small basin in the Jemez Mountains, northern, New Mexico. Data were process (analyzed?) to represent forest canopy characteristics pre- and post-fire. These characteristics include, (1) canopy closure, (2) edginess to the north, (3) edginess to the south, (4) leaf area index, (5) maximum tree height,...
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...
Three separate hydrologic models were used to simulate storm runoff in the Hahn Arroyo Watershed, an urbanized watershed with concrete lined channels in the northeastern quadrant of Albuquerque, New Mexico that exhibits flashy, monsoonal-driven, storm runoff events. This data release contains the input and output files associated with the hydrologic simulations of each of the following models: Hydrologic Engineering Center Hydrologic Modeling System (HEC-HMS), Program for Predicting Polluting Particle Passage through Pits, Puddles and Ponds (P8), and Arid-Lands Hydrologic Model (AHYMO). The study was designed to compare three existing rainfall-runoff modeling software packages to determine which provided the best...
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