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
21 citations as recorded by crossref.
- Should We Worry About Surficial Dynamics When Assessing Nutrient Cycling in the Groundwater? S. Khurana et al. 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. 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 10.1016/j.jestch.2022.101321
- The MANgrove–GroundwAter feedback model (MANGA) – Describing belowground competition based on first principles J. Bathmann et al. 10.1016/j.ecolmodel.2020.108973
- Towards the construction of representative regional hydro(geo)logical numerical models: Modelling the upper Danube basin as a starting point E. Pujades et al. 10.3389/feart.2023.1061420
- Modeling the influence of climate on groundwater flow and heat regime in Brandenburg (Germany) M. Tsypin et al. 10.3389/frwa.2024.1353394
- Hydrological process knowledge in catchment modelling – Lessons and perspectives from 60 years development J. Refsgaard et al. 10.1002/hyp.14463
- ogs5py: A Python‐API for the OpenGeoSys 5 Scientific Modeling Package S. Müller et al. 10.1111/gwat.13017
- An integrated watershed-scale framework to model nitrogen transport and transformations H. Qiu et al. 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. 10.5194/hess-23-171-2019
- Flux tracking of groundwater via integrated modelling for abstraction management L. Liu et al. 10.1016/j.jhydrol.2024.131379
- 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. 10.5194/hess-24-1511-2020
- Predicting the impact of spatial heterogeneity on microbially mediated nutrient cycling in the subsurface S. Khurana et al. 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. 10.1016/j.scitotenv.2022.153464
- Modelling Groundwater Hydrological Drought and Its Recovery Given Natural and Anthropogenic Scenarios in South America J. Vega‐Briones et al. 10.1002/hyp.15340
- 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. 10.1016/j.gsd.2023.100953
- From Dynamic Groundwater Level Measurements to Regional Aquifer Parameters— Assessing the Power of Spectral Analysis T. Houben et al. 10.1029/2021WR031289
- Assessing the contribution of groundwater to catchment travel time distributions through integrating conceptual flux tracking with explicit Lagrangian particle tracking M. Jing et al. 10.1016/j.advwatres.2021.103849
- Integrating Tracers and Soft Data Into Multi‐Criteria Calibration: Implications From Distributed Modeling in a Riparian Wetland S. Wu et al. 10.1029/2023WR035509
- Coupled simulation–optimization model for draining confined aquifer via underground boreholes to prevent water inrush of coal mines L. Meng et al. 10.1007/s12665-018-7794-7
- Assessment of regional inter-basin groundwater flow using both simple and highly parameterized optimization schemes M. Danapour et al. 10.1007/s10040-019-01984-3
19 citations as recorded by crossref.
- Should We Worry About Surficial Dynamics When Assessing Nutrient Cycling in the Groundwater? S. Khurana et al. 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. 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 10.1016/j.jestch.2022.101321
- The MANgrove–GroundwAter feedback model (MANGA) – Describing belowground competition based on first principles J. Bathmann et al. 10.1016/j.ecolmodel.2020.108973
- Towards the construction of representative regional hydro(geo)logical numerical models: Modelling the upper Danube basin as a starting point E. Pujades et al. 10.3389/feart.2023.1061420
- Modeling the influence of climate on groundwater flow and heat regime in Brandenburg (Germany) M. Tsypin et al. 10.3389/frwa.2024.1353394
- Hydrological process knowledge in catchment modelling – Lessons and perspectives from 60 years development J. Refsgaard et al. 10.1002/hyp.14463
- ogs5py: A Python‐API for the OpenGeoSys 5 Scientific Modeling Package S. Müller et al. 10.1111/gwat.13017
- An integrated watershed-scale framework to model nitrogen transport and transformations H. Qiu et al. 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. 10.5194/hess-23-171-2019
- Flux tracking of groundwater via integrated modelling for abstraction management L. Liu et al. 10.1016/j.jhydrol.2024.131379
- 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. 10.5194/hess-24-1511-2020
- Predicting the impact of spatial heterogeneity on microbially mediated nutrient cycling in the subsurface S. Khurana et al. 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. 10.1016/j.scitotenv.2022.153464
- Modelling Groundwater Hydrological Drought and Its Recovery Given Natural and Anthropogenic Scenarios in South America J. Vega‐Briones et al. 10.1002/hyp.15340
- 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. 10.1016/j.gsd.2023.100953
- From Dynamic Groundwater Level Measurements to Regional Aquifer Parameters— Assessing the Power of Spectral Analysis T. Houben et al. 10.1029/2021WR031289
- Assessing the contribution of groundwater to catchment travel time distributions through integrating conceptual flux tracking with explicit Lagrangian particle tracking M. Jing et al. 10.1016/j.advwatres.2021.103849
- Integrating Tracers and Soft Data Into Multi‐Criteria Calibration: Implications From Distributed Modeling in a Riparian Wetland S. Wu et al. 10.1029/2023WR035509
2 citations as recorded by crossref.
- Coupled simulation–optimization model for draining confined aquifer via underground boreholes to prevent water inrush of coal mines L. Meng et al. 10.1007/s12665-018-7794-7
- Assessment of regional inter-basin groundwater flow using both simple and highly parameterized optimization schemes M. Danapour et al. 10.1007/s10040-019-01984-3
Latest update: 14 Dec 2024
