Articles | Volume 11, issue 5
https://doi.org/10.5194/gmd-11-1989-2018
© 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-11-1989-2018
© 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
| 
01 Jun 2018
Model description paper |
| 01 Jun 2018
| 01 Jun 2018
Improved regional-scale groundwater representation by the coupling of the mesoscale Hydrologic Model (mHM v5.7) to the groundwater model OpenGeoSys (OGS)
Department of Computational Hydrosystems, UFZ – Helmholtz Centre for Environmental Research,
Permoserstr. 15, 04318 Leipzig, Germany
Falk Heße
Department of Computational Hydrosystems, UFZ – Helmholtz Centre for Environmental Research,
Permoserstr. 15, 04318 Leipzig, Germany
Rohini Kumar
Department of Computational Hydrosystems, UFZ – Helmholtz Centre for Environmental Research,
Permoserstr. 15, 04318 Leipzig, Germany
Wenqing Wang
Department of Environmental Informatics, UFZ – Helmholtz Centre for Environmental Research,
Permoserstr. 15, 04318 Leipzig, Germany
Thomas Fischer
Department of Environmental Informatics, UFZ – Helmholtz Centre for Environmental Research,
Permoserstr. 15, 04318 Leipzig, Germany
Marc Walther
Department of Environmental Informatics, UFZ – Helmholtz Centre for Environmental Research,
Permoserstr. 15, 04318 Leipzig, Germany
Institute of Groundwater Management, Technische Universität Dresden, Bergstr. 66, 01069 Dresden, Germany
Matthias Zink
Department of Computational Hydrosystems, UFZ – Helmholtz Centre for Environmental Research,
Permoserstr. 15, 04318 Leipzig, Germany
Alraune Zech
Department of Computational Hydrosystems, UFZ – Helmholtz Centre for Environmental Research,
Permoserstr. 15, 04318 Leipzig, Germany
Luis Samaniego
Department of Computational Hydrosystems, UFZ – Helmholtz Centre for Environmental Research,
Permoserstr. 15, 04318 Leipzig, Germany
Olaf Kolditz
Department of Environmental Informatics, UFZ – Helmholtz Centre for Environmental Research,
Permoserstr. 15, 04318 Leipzig, Germany
Applied Environmental Systems Analysis, Technische Universität Dresden, Dresden, Germany
Sabine Attinger
Department of Computational Hydrosystems, UFZ – Helmholtz Centre for Environmental Research,
Permoserstr. 15, 04318 Leipzig, Germany
Institute of Earth and Environmental Sciences, University of Potsdam, Karl-Liebknecht-Str. 24–25,
14476 Potsdam, Germany
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Cited
26 citations as recorded by crossref.
- Towards the construction of representative regional hydro(geo)logical numerical models: Modelling the upper Danube basin as a starting point E. Pujades et al. https://doi.org/10.3389/feart.2023.1061420
- Damped groundwater response to recharge: From spectral analysis to regional modeling M. Tsypin et al. https://doi.org/10.1016/j.jhydrol.2025.133193
- HydroBlocks-MSSUBv0.1: a multiscale approach for simulating lateral subsurface flow dynamics in Land Surface Models D. Guyumus et al. https://doi.org/10.5194/gmd-19-477-2026
- Assessing the response of groundwater quantity and travel time distribution to 1.5, 2, and 3 °C global warming in a mesoscale central German basin M. Jing et al. https://doi.org/10.5194/hess-24-1511-2020
- Predicting the impact of spatial heterogeneity on microbially mediated nutrient cycling in the subsurface S. Khurana et al. https://doi.org/10.5194/bg-19-665-2022
- Developing a pan-European high-resolution groundwater recharge map – Combining satellite data and national survey data using machine learning G. Martinsen et al. https://doi.org/10.1016/j.scitotenv.2022.153464
- DECIPHeR-GW v1: a coupled hydrological model with improved representation of surface–groundwater interactions Y. Zheng et al. https://doi.org/10.5194/gmd-18-4247-2025
- Quantifying basin-scale changes in groundwater storage using GRACE and one-way coupled hydrological and groundwater flow model in the data-scarce Bandung groundwater Basin, Indonesia S. Rusli et al. https://doi.org/10.1016/j.gsd.2023.100953
- Improved representation of soil moisture processes through incorporation of cosmic-ray neutron count measurements in a large-scale hydrologic model E. Fatima et al. https://doi.org/10.5194/hess-28-5419-2024
- Assessing the contribution of groundwater to catchment travel time distributions through integrating conceptual flux tracking with explicit Lagrangian particle tracking M. Jing et al. https://doi.org/10.1016/j.advwatres.2021.103849
- Should We Worry About Surficial Dynamics When Assessing Nutrient Cycling in the Groundwater? S. Khurana et al. https://doi.org/10.3389/frwa.2022.780297
- Coupling a large-scale hydrological model (CWatM v1.1) with a high-resolution groundwater flow model (MODFLOW 6) to assess the impact of irrigation at regional scale L. Guillaumot et al. https://doi.org/10.5194/gmd-15-7099-2022
- On the use of distributed hydrologic model for filling large gaps at different parts of the streamflow data E. Ergün & M. Demirel https://doi.org/10.1016/j.jestch.2022.101321
- The MANgrove–GroundwAter feedback model (MANGA) – Describing belowground competition based on first principles J. Bathmann et al. https://doi.org/10.1016/j.ecolmodel.2020.108973
- Modeling the influence of climate on groundwater flow and heat regime in Brandenburg (Germany) M. Tsypin et al. https://doi.org/10.3389/frwa.2024.1353394
- Hydrological process knowledge in catchment modelling – Lessons and perspectives from 60 years development J. Refsgaard et al. https://doi.org/10.1002/hyp.14463
- ogs5py: A Python‐API for the OpenGeoSys 5 Scientific Modeling Package S. Müller et al. https://doi.org/10.1111/gwat.13017
- An integrated watershed-scale framework to model nitrogen transport and transformations H. Qiu et al. https://doi.org/10.1016/j.scitotenv.2023.163348
- Influence of input and parameter uncertainty on the prediction of catchment-scale groundwater travel time distributions M. Jing et al. https://doi.org/10.5194/hess-23-171-2019
- Flux tracking of groundwater via integrated modelling for abstraction management L. Liu et al. https://doi.org/10.1016/j.jhydrol.2024.131379
- Regional-scale groundwater analysis with dimensionality reduction M. Somogyvári et al. https://doi.org/10.5194/nhess-25-4613-2025
- r2ogs6: An R wrapper of the OpenGeoSys 6 Multiphysics Simulator R. Heinrich et al. https://doi.org/10.21105/joss.05360
- Modelling Groundwater Hydrological Drought and Its Recovery Given Natural and Anthropogenic Scenarios in South America J. Vega‐Briones et al. https://doi.org/10.1002/hyp.15340
- From Dynamic Groundwater Level Measurements to Regional Aquifer Parameters— Assessing the Power of Spectral Analysis T. Houben et al. https://doi.org/10.1029/2021WR031289
- Integrating Tracers and Soft Data Into Multi‐Criteria Calibration: Implications From Distributed Modeling in a Riparian Wetland S. Wu et al. https://doi.org/10.1029/2023WR035509
- Assessing hydrological drought propagation through assimilation of GRACE for groundwater storage anomalies modelling in northeastern Mexico S. Arciniega-Esparza et al. https://doi.org/10.1016/j.jhydrol.2025.133826
26 citations as recorded by crossref.
- Towards the construction of representative regional hydro(geo)logical numerical models: Modelling the upper Danube basin as a starting point E. Pujades et al. https://doi.org/10.3389/feart.2023.1061420
- Damped groundwater response to recharge: From spectral analysis to regional modeling M. Tsypin et al. https://doi.org/10.1016/j.jhydrol.2025.133193
- HydroBlocks-MSSUBv0.1: a multiscale approach for simulating lateral subsurface flow dynamics in Land Surface Models D. Guyumus et al. https://doi.org/10.5194/gmd-19-477-2026
- Assessing the response of groundwater quantity and travel time distribution to 1.5, 2, and 3 °C global warming in a mesoscale central German basin M. Jing et al. https://doi.org/10.5194/hess-24-1511-2020
- Predicting the impact of spatial heterogeneity on microbially mediated nutrient cycling in the subsurface S. Khurana et al. https://doi.org/10.5194/bg-19-665-2022
- Developing a pan-European high-resolution groundwater recharge map – Combining satellite data and national survey data using machine learning G. Martinsen et al. https://doi.org/10.1016/j.scitotenv.2022.153464
- DECIPHeR-GW v1: a coupled hydrological model with improved representation of surface–groundwater interactions Y. Zheng et al. https://doi.org/10.5194/gmd-18-4247-2025
- Quantifying basin-scale changes in groundwater storage using GRACE and one-way coupled hydrological and groundwater flow model in the data-scarce Bandung groundwater Basin, Indonesia S. Rusli et al. https://doi.org/10.1016/j.gsd.2023.100953
- Improved representation of soil moisture processes through incorporation of cosmic-ray neutron count measurements in a large-scale hydrologic model E. Fatima et al. https://doi.org/10.5194/hess-28-5419-2024
- Assessing the contribution of groundwater to catchment travel time distributions through integrating conceptual flux tracking with explicit Lagrangian particle tracking M. Jing et al. https://doi.org/10.1016/j.advwatres.2021.103849
- Should We Worry About Surficial Dynamics When Assessing Nutrient Cycling in the Groundwater? S. Khurana et al. https://doi.org/10.3389/frwa.2022.780297
- Coupling a large-scale hydrological model (CWatM v1.1) with a high-resolution groundwater flow model (MODFLOW 6) to assess the impact of irrigation at regional scale L. Guillaumot et al. https://doi.org/10.5194/gmd-15-7099-2022
- On the use of distributed hydrologic model for filling large gaps at different parts of the streamflow data E. Ergün & M. Demirel https://doi.org/10.1016/j.jestch.2022.101321
- The MANgrove–GroundwAter feedback model (MANGA) – Describing belowground competition based on first principles J. Bathmann et al. https://doi.org/10.1016/j.ecolmodel.2020.108973
- Modeling the influence of climate on groundwater flow and heat regime in Brandenburg (Germany) M. Tsypin et al. https://doi.org/10.3389/frwa.2024.1353394
- Hydrological process knowledge in catchment modelling – Lessons and perspectives from 60 years development J. Refsgaard et al. https://doi.org/10.1002/hyp.14463
- ogs5py: A Python‐API for the OpenGeoSys 5 Scientific Modeling Package S. Müller et al. https://doi.org/10.1111/gwat.13017
- An integrated watershed-scale framework to model nitrogen transport and transformations H. Qiu et al. https://doi.org/10.1016/j.scitotenv.2023.163348
- Influence of input and parameter uncertainty on the prediction of catchment-scale groundwater travel time distributions M. Jing et al. https://doi.org/10.5194/hess-23-171-2019
- Flux tracking of groundwater via integrated modelling for abstraction management L. Liu et al. https://doi.org/10.1016/j.jhydrol.2024.131379
- Regional-scale groundwater analysis with dimensionality reduction M. Somogyvári et al. https://doi.org/10.5194/nhess-25-4613-2025
- r2ogs6: An R wrapper of the OpenGeoSys 6 Multiphysics Simulator R. Heinrich et al. https://doi.org/10.21105/joss.05360
- Modelling Groundwater Hydrological Drought and Its Recovery Given Natural and Anthropogenic Scenarios in South America J. Vega‐Briones et al. https://doi.org/10.1002/hyp.15340
- From Dynamic Groundwater Level Measurements to Regional Aquifer Parameters— Assessing the Power of Spectral Analysis T. Houben et al. https://doi.org/10.1029/2021WR031289
- Integrating Tracers and Soft Data Into Multi‐Criteria Calibration: Implications From Distributed Modeling in a Riparian Wetland S. Wu et al. https://doi.org/10.1029/2023WR035509
- Assessing hydrological drought propagation through assimilation of GRACE for groundwater storage anomalies modelling in northeastern Mexico S. Arciniega-Esparza et al. https://doi.org/10.1016/j.jhydrol.2025.133826
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