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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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Volume 11, issue 12
Geosci. Model Dev., 11, 4755-4777, 2018
https://doi.org/10.5194/gmd-11-4755-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Geosci. Model Dev., 11, 4755-4777, 2018
https://doi.org/10.5194/gmd-11-4755-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Model description paper 30 Nov 2018

Model description paper | 30 Nov 2018

GSFLOW–GRASS v1.0.0: GIS-enabled hydrologic modeling of coupled groundwater–surface-water systems

G.-H. Crystal Ng1,2, Andrew D. Wickert1,2, Lauren D. Somers3, Leila Saberi1, Collin Cronkite-Ratcliff4, Richard G. Niswonger5, and Jeffrey M. McKenzie3 G.-H. Crystal Ng et al.
  • 1Department of Earth Sciences, University of Minnesota, Minneapolis, Minnesota, USA
  • 2St. Anthony Falls Laboratory, University of Minnesota, Minneapolis, Minnesota, USA
  • 3Department of Earth and Planetary Sciences, McGill University, Montreal, Quebec, Canada
  • 4Geology, Minerals, Energy and Geophysics Science Center, United States Geological Survey, Menlo Park, California USA
  • 5Earth Systems Modeling Branch, United States Geological Survey, Menlo Park, California, USA

Abstract. The importance of water moving between the atmosphere and aquifers has led to efforts to develop and maintain coupled models of surface water and groundwater. However, developing inputs to these models is usually time-consuming and requires extensive knowledge of software engineering, often prohibiting their use by many researchers and water managers, thus reducing these models' potential to promote science-driven decision-making in an era of global change and increasing water resource stress. In response to this need, we have developed GSFLOW–GRASS, a bundled set of open-source tools that develops inputs for, executes, and graphically displays the results of GSFLOW, the U.S. Geological Survey's coupled groundwater and surface-water flow model. In order to create a robust tool that can be widely implemented over diverse hydro(geo)logic settings, we built a series of GRASS GIS extensions that automatically discretizes a topological surface-water flow network that is linked with an underlying gridded groundwater domain. As inputs, GSFLOW–GRASS requires at a minimum a digital elevation model, a precipitation and temperature record, and estimates of channel parameters and hydraulic conductivity. We demonstrate the broad applicability of the toolbox by successfully testing it in environments with varying degrees of drainage integration, landscape relief, and grid resolution, as well as the presence of irregular coastal boundaries. These examples also show how GSFLOW–GRASS can be implemented to examine the role of groundwater–surface-water interactions in a diverse range of water resource and land management applications.

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The profound importance of water has led to the development of increasingly complex hydrological models. However, implementing these models is usually time-consuming and requires specialized expertise, stymieing their widespread use to support science-driven decision-making. In response, we have developed GSFLOW–GRASS, a robust and comprehensive set of software tools that can be readily used to set up and execute GSFLOW, the U.S. Geological Survey's coupled groundwater–surface-water flow model.
The profound importance of water has led to the development of increasingly complex hydrological...
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