MODFLOW One-Water Hydrologic Flow Model (MF-OWHM) used to simulate conjunctive use in the Hatch Valley and Mesilla Basin, New Mexico and Texas, United States, and northern Chihuahua, Mexico

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 in the study area) and Mesilla Basin (study area). Reclamation operates the Rio Grande Project (RGP) to store and deliver surface water for irrigation and municipal use within the study area and in the El Paso Valley south of the study area. The RGTIHM, using version 2 of the MODFLOW One-Water Hydrologic Flow Model, provides a tool to evaluate alternative management strategies, including conjunctive management of surface water and groundwater, and to support long-term planning and decision making for the RGP. The updated and recalibrated RGTIHM demonstrates a robust ability to simulate spatially and temporally variable measurements or estimates of hydraulic head, surface-water flows, agricultural pumping, RGP surface-water deliveries and canal waste, and decadal aquifer storage changes, with many improvements over the previous version of the model documented in Hanson and others (2020) (https://doi.org/10.3133/sir20195120). This USGS data release contains all the input and output files for the RGTIHM documented in Hanson and others (2020) and the updated and recalibrated RGTIHM documented in the associated model report (https://doi.org/10.3133/sir20225045).