A three-dimensional groundwater flow model, MODFLOW 6, was developed to provide a better understanding of the hydrogeology of the Harney Basin, southeastern Oregon. The model was used to investigate the historical groundwater-level decline and storage loss associated with anthropogenic groundwater demands. The model was calibrated to 1930 through 2018 conditions. This USGS data release contains all of the input and output files for the simulation described in the associated model documentation report (https://doi.org/10.3133/sir2023XXXX)

A three-dimensional groundwater flow model, MODFLOW 6, was developed to provide a better understanding of the hydrogeology of the Harney Basin, southeastern Oregon. The model was used to investigate the historical groundwater-level decline and storage loss associated with anthropogenic groundwater demands. The model was calibrated to 1930 through 2018 conditions. This USGS data release contains all of the input and output files for the simulation described in the associated model documentation report (https://doi.org/10.3133/sir2023XXXX)

Seventy-five steady-state two-dimensional groundwater flow (MODFLOW-6) models of the shallow groundwater system were developed to map depth to water and estimate effective surficial transmissivity for the contiguous United States (CONUS). The models were driven by spatially-distributed recharge estimated by Reitz et al. (https://doi.org/10.5066/F7PN93P0) using average water-budget information for 1985-2015 and calibrated against long-term average water levels in observation wells, as well as, water-level estimates derived from perennial first-order streams and wetlands. The development of the model input and output files included in this data release, as well as post-processing used to derive additional water-budget components also included in this data release, are documented in the Water Resources Research article (https://doi.org/10.1029/2019WR026724).

Seventy-five steady-state two-dimensional groundwater flow (MODFLOW-6) models of the shallow groundwater system were developed to map depth to water and estimate effective surficial transmissivity for the contiguous United States (CONUS). The models were driven by spatially-distributed recharge estimated by Reitz et al. (https://doi.org/10.5066/F7PN93P0) using average water-budget information for 1985-2015 and calibrated against long-term average water levels in observation wells, as well as, water-level estimates derived from perennial first-order streams and wetlands. The development of the model input and output files included in this data release, as well as post-processing used to derive additional water-budget components also included in this data release, are documented in the Water Resources Research article (https://doi.org/10.1029/2019WR026724).

This model archive contains the model files for the MERAS 3 and Mississippi Delta groundwater flow models documented in the U.S. Geological Survey Scientific Investigations Report 2023-5100. The MERAS 3 model provides a simplified representation of groundwater flow in the Mississippi Embayment Regional Aquifer Study (MERAS) area for the period of 1900 through 2018, with the primary goal of providing boundary fluxes for inset models focused on local areas of interest. The Mississippi Delta model simulates groundwater flow in the Delta region of northwestern Mississippi from 1900 through 2018, using boundary fluxes from the MERAS 3 model. A scenario version of the Mississippi Delta model extends the simulation to 2056, using net infiltration, surface water runoff, and irrigation pumping derived from downscaled general circulation model output, via a soil water balance simulation. Workflows for initial model construction, parameter estimation, and the setup of future climate scenarios are included in separate ZIP archives, along with portable python distributions for running the workflow scripts on OSX or Windows platforms. See the Readme.md file(s) for instructions.

This model archive contains the model files for the MERAS 3 and Mississippi Delta groundwater flow models documented in the U.S. Geological Survey Scientific Investigations Report 2023-5100. The MERAS 3 model provides a simplified representation of groundwater flow in the Mississippi Embayment Regional Aquifer Study (MERAS) area for the period of 1900 through 2018, with the primary goal of providing boundary fluxes for inset models focused on local areas of interest. The Mississippi Delta model simulates groundwater flow in the Delta region of northwestern Mississippi from 1900 through 2018, using boundary fluxes from the MERAS 3 model. A scenario version of the Mississippi Delta model extends the simulation to 2056, using net infiltration, surface water runoff, and irrigation pumping derived from downscaled general circulation model output, via a soil water balance simulation. Workflows for initial model construction, parameter estimation, and the setup of future climate scenarios are included in separate ZIP archives, along with portable python distributions for running the workflow scripts on OSX or Windows platforms. See the Readme.md file(s) for instructions.

This groundwater model archive documents a transient, regional-scale numerical model of the Long Island aquifer system that simulates hydrologic conditions for the period 1900-2019 using US Geological Survey’s groundwater modeling software MODFLOW 6 (Hughes and others, 2017). The development and calibration of the numerical model is documented in Walter and others, 2024. The model input and output files included in this data release are documented in the readme.txt. The model simulates historical water levels, stream flows, and the position of the saltwater interface in response to time-varying changes in pumping and recharge stresses for the period 1900-2019. This archive also contains input and output files for scenarios developed to simulate hydrologic conditions at annual and seasonal time scales averaged for the period 2010-2019, a five-year drought, and sea level rise of 6 feet.

This groundwater model archive documents a transient, regional-scale numerical model of the Long Island aquifer system that simulates hydrologic conditions for the period 1900-2019 using US Geological Survey’s groundwater modeling software MODFLOW 6 (Hughes and others, 2017). The development and calibration of the numerical model is documented in Walter and others, 2024. The model input and output files included in this data release are documented in the readme.txt. The model simulates historical water levels, stream flows, and the position of the saltwater interface in response to time-varying changes in pumping and recharge stresses for the period 1900-2019. This archive also contains input and output files for scenarios developed to simulate hydrologic conditions at annual and seasonal time scales averaged for the period 2010-2019, a five-year drought, and sea level rise of 6 feet.

This data release contains the MODFLOW 6 models described in the related Groundwater journal article (https://doi.org/10.1111/gwat.13459). The models are generalized cross-section models of a hypothetical and idealized aquifer. The models are used to examine the effects of layered or full grid connectivity with and without the XT3D option in the Node Property Flow (NPF) package of MODFLOW 6. The data release contains the models described in the paper, the 6.5.0 binary executable for MODFLOW 6, the 6.5.0 MODFLOW source code, and the Python jupyter notebook and related Python utilities used to generate, run, and post-process the results.

This data release contains the MODFLOW 6 models described in the related Groundwater journal article (https://doi.org/10.1111/gwat.13459). The models are generalized cross-section models of a hypothetical and idealized aquifer. The models are used to examine the effects of layered or full grid connectivity with and without the XT3D option in the Node Property Flow (NPF) package of MODFLOW 6. The data release contains the models described in the paper, the 6.5.0 binary executable for MODFLOW 6, the 6.5.0 MODFLOW source code, and the Python jupyter notebook and related Python utilities used to generate, run, and post-process the results.