Articles | Volume 11, issue 12
https://doi.org/10.5194/gmd-11-4755-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-11-4755-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
30 Nov 2018
Model description paper |
| 30 Nov 2018
| 30 Nov 2018
GSFLOW–GRASS v1.0.0: GIS-enabled hydrologic modeling of coupled groundwater–surface-water systems
G.-H. Crystal Ng
CORRESPONDING AUTHOR
Department of Earth Sciences, University of Minnesota, Minneapolis, Minnesota, USA
St. Anthony Falls Laboratory, University of Minnesota, Minneapolis, Minnesota, USA
Andrew D. Wickert
Department of Earth Sciences, University of Minnesota, Minneapolis, Minnesota, USA
St. Anthony Falls Laboratory, University of Minnesota, Minneapolis, Minnesota, USA
Lauren D. Somers
Department of Earth and Planetary Sciences, McGill University, Montreal, Quebec, Canada
Leila Saberi
Department of Earth Sciences, University of Minnesota, Minneapolis, Minnesota, USA
Collin Cronkite-Ratcliff
Geology, Minerals, Energy and Geophysics Science Center, United States Geological Survey, Menlo Park, California USA
Richard G. Niswonger
Earth Systems Modeling Branch, United States Geological Survey, Menlo Park, California, USA
Jeffrey M. McKenzie
Department of Earth and Planetary Sciences, McGill University, Montreal, Quebec, Canada
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Cited
14 citations as recorded by crossref.
- Integrated hydrologic model development and postprocessing for GSFLOW using pyGSFLOW J. Larsen et al. 10.21105/joss.03852
- A modified SWAT module for estimating groundwater table at Lethbridge and Barons, Alberta, Canada N. Melaku & J. Wang 10.1016/j.jhydrol.2019.05.052
- Computing water flow through complex landscapes – Part 1: Incorporating depressions in flow routing using FlowFill K. Callaghan & A. Wickert 10.5194/esurf-7-737-2019
- Modelling spatio-temporal patterns of soil carbon and greenhouse gas emissions in grazing lands: Current status and prospects J. Wang et al. 10.1016/j.scitotenv.2020.139092
- SFRmaker and Linesink‐Maker: Rapid Construction of Streamflow Routing Networks from Hydrography Data A. Leaf et al. 10.1111/gwat.13095
- TATOO – Python Topographic Analysis Tool Library for semi-automated setup of high-resolution integrated hydrologic models J. Mitterer 10.1016/j.envsoft.2022.105406
- An open-source GIS preprocessing tool for the ParFlow hydrological model (PFGIS-Tool v1.0.0) T. Carlotto et al. 10.1016/j.envsoft.2023.105824
- Interoperable web sharing of environmental models using OGC web processing service and Open Modeling Interface (OpenMI) M. Zhang et al. 10.1016/j.envsoft.2020.104838
- Rapid Model Development for GSFLOW With Python and pyGSFLOW J. Larsen et al. 10.3389/feart.2022.907533
- Modelling groundwater quality of the Athabasca River Basin in the subarctic region using a modified SWAT model T. Meshesha et al. 10.1038/s41598-021-92920-7
- Multi-scale temporal variability in meltwater contributions in a tropical glacierized watershed L. Saberi et al. 10.5194/hess-23-405-2019
- An On-Demand Scalable Model for Geographic Information System (GIS) Data Processing in a Cloud GIS J. Zhang et al. 10.3390/ijgi8090392
- Quantifying Streamflow Depletion from Groundwater Pumping: A Practical Review of Past and Emerging Approaches for Water Management S. Zipper et al. 10.1111/1752-1688.12998
- An interoperable and service-oriented approach for real-time environmental simulation by coupling OGC WPS and SensorThings API M. Zhang et al. 10.1016/j.envsoft.2023.105722
14 citations as recorded by crossref.
- Integrated hydrologic model development and postprocessing for GSFLOW using pyGSFLOW J. Larsen et al. 10.21105/joss.03852
- A modified SWAT module for estimating groundwater table at Lethbridge and Barons, Alberta, Canada N. Melaku & J. Wang 10.1016/j.jhydrol.2019.05.052
- Computing water flow through complex landscapes – Part 1: Incorporating depressions in flow routing using FlowFill K. Callaghan & A. Wickert 10.5194/esurf-7-737-2019
- Modelling spatio-temporal patterns of soil carbon and greenhouse gas emissions in grazing lands: Current status and prospects J. Wang et al. 10.1016/j.scitotenv.2020.139092
- SFRmaker and Linesink‐Maker: Rapid Construction of Streamflow Routing Networks from Hydrography Data A. Leaf et al. 10.1111/gwat.13095
- TATOO – Python Topographic Analysis Tool Library for semi-automated setup of high-resolution integrated hydrologic models J. Mitterer 10.1016/j.envsoft.2022.105406
- An open-source GIS preprocessing tool for the ParFlow hydrological model (PFGIS-Tool v1.0.0) T. Carlotto et al. 10.1016/j.envsoft.2023.105824
- Interoperable web sharing of environmental models using OGC web processing service and Open Modeling Interface (OpenMI) M. Zhang et al. 10.1016/j.envsoft.2020.104838
- Rapid Model Development for GSFLOW With Python and pyGSFLOW J. Larsen et al. 10.3389/feart.2022.907533
- Modelling groundwater quality of the Athabasca River Basin in the subarctic region using a modified SWAT model T. Meshesha et al. 10.1038/s41598-021-92920-7
- Multi-scale temporal variability in meltwater contributions in a tropical glacierized watershed L. Saberi et al. 10.5194/hess-23-405-2019
- An On-Demand Scalable Model for Geographic Information System (GIS) Data Processing in a Cloud GIS J. Zhang et al. 10.3390/ijgi8090392
- Quantifying Streamflow Depletion from Groundwater Pumping: A Practical Review of Past and Emerging Approaches for Water Management S. Zipper et al. 10.1111/1752-1688.12998
- An interoperable and service-oriented approach for real-time environmental simulation by coupling OGC WPS and SensorThings API M. Zhang et al. 10.1016/j.envsoft.2023.105722
Latest update: 20 Nov 2024
Short summary
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...
