Articles | Volume 23, issue 11
https://doi.org/10.5194/hess-23-4561-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-23-4561-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
14 Nov 2019
Research article |
| 14 Nov 2019
| 14 Nov 2019
Spatially distributed sensitivity of simulated global groundwater heads and flows to hydraulic conductivity, groundwater recharge, and surface water body parameterization
Robert Reinecke
CORRESPONDING AUTHOR
Institute of Physical Geography, Goethe University Frankfurt, Frankfurt am Main, Germany
Laura Foglia
Department of Land, Air and Water Resources, University of California, Davis, USA
Steffen Mehl
Department of Civil Engineering, California State University, Chico, USA
Jonathan D. Herman
Department of Civil & Environmental Engineering, University of California, Davis, USA
Alexander Wachholz
Institute of Physical Geography, Goethe University Frankfurt, Frankfurt am Main, Germany
Tim Trautmann
Institute of Physical Geography, Goethe University Frankfurt, Frankfurt am Main, Germany
Petra Döll
Institute of Physical Geography, Goethe University Frankfurt, Frankfurt am Main, Germany
Senckenberg Leibniz Biodiversity and Climate Research Centre Frankfurt (SBiK-F), Frankfurt am Main, Germany
Viewed
Total article views: 4,070 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 18 Feb 2019)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,659 | 1,350 | 61 | 4,070 | 76 | 70 |
- HTML: 2,659
- PDF: 1,350
- XML: 61
- Total: 4,070
- BibTeX: 76
- EndNote: 70
Total article views: 2,687 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 14 Nov 2019)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,934 | 698 | 55 | 2,687 | 61 | 60 |
- HTML: 1,934
- PDF: 698
- XML: 55
- Total: 2,687
- BibTeX: 61
- EndNote: 60
Total article views: 1,383 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 18 Feb 2019)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 725 | 652 | 6 | 1,383 | 15 | 10 |
- HTML: 725
- PDF: 652
- XML: 6
- Total: 1,383
- BibTeX: 15
- EndNote: 10
Viewed (geographical distribution)
Total article views: 4,070 (including HTML, PDF, and XML)
Thereof 3,570 with geography defined
and 500 with unknown origin.
Total article views: 2,687 (including HTML, PDF, and XML)
Thereof 2,470 with geography defined
and 217 with unknown origin.
Total article views: 1,383 (including HTML, PDF, and XML)
Thereof 1,100 with geography defined
and 283 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
23 citations as recorded by crossref.
- Towards the representation of groundwater in the Joint UK Land Environment Simulator S. Batelis et al. 10.1002/hyp.13767
- Coordination and control – limits in standard representations of multi-reservoir operations in hydrological modeling C. Rougé et al. 10.5194/hess-25-1365-2021
- Three-dimensional response to a partially penetration well pumping in a general anisotropic three-layer aquifer system Q. Feng et al. 10.1016/j.jhydrol.2020.124850
- Towards parameter estimation in global hydrological models J. Kupzig et al. 10.1088/1748-9326/acdae8
- Dual stable isotopes to rethink the watershed-scale spatiotemporal interaction between surface water and groundwater X. Wang et al. 10.1016/j.jenvman.2023.119728
- Evaluation of distributed process-based hydrologic model performance using only a priori information to define model inputs S. Bhanja et al. 10.1016/j.jhydrol.2023.129176
- DHI-GHM: Real-time and forecasted hydrology for the entire planet A. Murray et al. 10.1016/j.jhydrol.2023.129431
- A framework for the broad dissemination of hydrological models for non-expert users T. Schaffhauser et al. 10.1016/j.envsoft.2023.105695
- Modeling the surface water and groundwater budgets of the US using MODFLOW-OWHM M. Alattar et al. 10.1016/j.advwatres.2020.103682
- Understanding each other's models: an introduction and a standard representation of 16 global water models to support intercomparison, improvement, and communication C. Telteu et al. 10.5194/gmd-14-3843-2021
- 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
- Hyper‐Resolution Continental‐Scale 3‐D Aquifer Parameterization for Groundwater Modeling I. de Graaf et al. 10.1029/2019WR026004
- Uncertainty of simulated groundwater recharge at different global warming levels: a global-scale multi-model ensemble study R. Reinecke et al. 10.5194/hess-25-787-2021
- What is the hydrologically effective area of a catchment? Y. Liu et al. 10.1088/1748-9326/aba7e5
- On the evaluation of climate change impact models T. Wagener et al. 10.1002/wcc.772
- Future-proofing hydrogeology by revising groundwater monitoring practice G. Rau et al. 10.1007/s10040-020-02242-7
- Temporal Scale‐Dependent Sensitivity Analysis for Hydrological Model Parameters Using the Discrete Wavelet Transform and Active Subspaces D. Bittner et al. 10.1029/2020WR028511
- GMD perspective: The quest to improve the evaluation of groundwater representation in continental- to global-scale models T. Gleeson et al. 10.5194/gmd-14-7545-2021
- Coupled effects of observation and parameter uncertainty on urban groundwater infrastructure decisions M. Mautner et al. 10.5194/hess-26-1319-2022
- Linking Land Use Land Cover change to global groundwater storage B. Dasgupta & P. Sanyal 10.1016/j.scitotenv.2022.158618
- Evaluation of parameter sensitivity of a rainfall-runoff model over a global catchment set L. Santos et al. 10.1080/02626667.2022.2035388
- A model comparison assessing the importance of lateral groundwater flows at the global scale I. de Graaf & K. Stahl 10.1088/1748-9326/ac50d2
- Importance of Spatial Resolution in Global Groundwater Modeling R. Reinecke et al. 10.1111/gwat.12996
23 citations as recorded by crossref.
- Towards the representation of groundwater in the Joint UK Land Environment Simulator S. Batelis et al. 10.1002/hyp.13767
- Coordination and control – limits in standard representations of multi-reservoir operations in hydrological modeling C. Rougé et al. 10.5194/hess-25-1365-2021
- Three-dimensional response to a partially penetration well pumping in a general anisotropic three-layer aquifer system Q. Feng et al. 10.1016/j.jhydrol.2020.124850
- Towards parameter estimation in global hydrological models J. Kupzig et al. 10.1088/1748-9326/acdae8
- Dual stable isotopes to rethink the watershed-scale spatiotemporal interaction between surface water and groundwater X. Wang et al. 10.1016/j.jenvman.2023.119728
- Evaluation of distributed process-based hydrologic model performance using only a priori information to define model inputs S. Bhanja et al. 10.1016/j.jhydrol.2023.129176
- DHI-GHM: Real-time and forecasted hydrology for the entire planet A. Murray et al. 10.1016/j.jhydrol.2023.129431
- A framework for the broad dissemination of hydrological models for non-expert users T. Schaffhauser et al. 10.1016/j.envsoft.2023.105695
- Modeling the surface water and groundwater budgets of the US using MODFLOW-OWHM M. Alattar et al. 10.1016/j.advwatres.2020.103682
- Understanding each other's models: an introduction and a standard representation of 16 global water models to support intercomparison, improvement, and communication C. Telteu et al. 10.5194/gmd-14-3843-2021
- 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
- Hyper‐Resolution Continental‐Scale 3‐D Aquifer Parameterization for Groundwater Modeling I. de Graaf et al. 10.1029/2019WR026004
- Uncertainty of simulated groundwater recharge at different global warming levels: a global-scale multi-model ensemble study R. Reinecke et al. 10.5194/hess-25-787-2021
- What is the hydrologically effective area of a catchment? Y. Liu et al. 10.1088/1748-9326/aba7e5
- On the evaluation of climate change impact models T. Wagener et al. 10.1002/wcc.772
- Future-proofing hydrogeology by revising groundwater monitoring practice G. Rau et al. 10.1007/s10040-020-02242-7
- Temporal Scale‐Dependent Sensitivity Analysis for Hydrological Model Parameters Using the Discrete Wavelet Transform and Active Subspaces D. Bittner et al. 10.1029/2020WR028511
- GMD perspective: The quest to improve the evaluation of groundwater representation in continental- to global-scale models T. Gleeson et al. 10.5194/gmd-14-7545-2021
- Coupled effects of observation and parameter uncertainty on urban groundwater infrastructure decisions M. Mautner et al. 10.5194/hess-26-1319-2022
- Linking Land Use Land Cover change to global groundwater storage B. Dasgupta & P. Sanyal 10.1016/j.scitotenv.2022.158618
- Evaluation of parameter sensitivity of a rainfall-runoff model over a global catchment set L. Santos et al. 10.1080/02626667.2022.2035388
- A model comparison assessing the importance of lateral groundwater flows at the global scale I. de Graaf & K. Stahl 10.1088/1748-9326/ac50d2
- Importance of Spatial Resolution in Global Groundwater Modeling R. Reinecke et al. 10.1111/gwat.12996
Latest update: 29 Jun 2024
Short summary
Recently, the first global groundwater models were developed to better understand surface-water–groundwater interactions and human water use impacts. However, the reliability of model outputs is limited by a lack of data as well as model assumptions required due to the necessarily coarse spatial resolution. In this study we present the first global maps of model sensitivity according to their parameterization and build a foundation to improve datasets, model design, and model understanding.
Recently, the first global groundwater models were developed to better understand...
