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Person

Joseph D Hughes

Integrated Surface-Water Groundwater Modeler

Office of the Chief Operating Officer

Email: jdhughes@usgs.gov
Office Phone: 312-521-0740
ORCID: 0000-0003-1311-2354

Location
IMPD
One Gifford Pinchot Drive
Madison , WI 53726

Supervisor: Jacob H LaFontaine
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The U.S. Geological Survey (USGS), in cooperation with the Harris-Galveston Subsidence District and Fort Bend Subsidence District, constructed a finite-difference numerical groundwater-flow model of the northern Gulf Coast aquifer region for 1897 through 2018 using MODFLOW 6 with the Newton formulation solver to simulate groundwater flow and land-surface subsidence. Model parameter estimation and uncertainty analysis were conducted with PEST++ Iterative Ensemble Smoother software. The simulated results are described in the associated U.S. Geological Survey Professional Paper 1877. The model archive provided in this U.S. Geological Survey data release includes all the necessary files to run the MODFLOW 6 model and...
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The National Hydrogeologic Grid (NHG) dataset includes a raster and vector representation of 1-km cells defining a uniform grid that encompasses the continental United States. The value of each cell of the raster dataset corresponds to the 1-km cell number defined as 'cellnum' in the attributes of the vector data. The NHG consists of 4,000 rows and 4,980 columns, numbered from the top left corner of the grid, to correspond to the traditional row and column numbering system of the MODFLOW groundwater-flow simulation code (Hughes and others, 2017; Langevin and others, 2017). The Albers projection was chosen for the NHG because of the capability to best preserve area, which is crucial in the computation of volume for...
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There is a growing interest in incorporating higher-resolution groundwater modeling within the framework of large-scale land surface models (LSMs), including new processes such as three- dimensional flow, variable soil saturation, and surface water/groundwater interactions. Conversely, complex groundwater models (e.g., the U.S. Geological Survey Groundwater-Flow Model, MODFLOW) often use simpler representations of land surface dynamics (e.g., surface vegetation, evapotranspiration, recharge) and may benefit from higher process fidelity and temporal resolutions in these inputs. This study investigates the potential of improving groundwater representation in LSMs and land surface dynamics in MODFLOW through coupling...
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