Articles | Volume 14, issue 12
https://doi.org/10.5194/gmd-14-7545-2021
© Author(s) 2021. 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-14-7545-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Review and perspective paper
| 
13 Dec 2021
Review and perspective paper |
| 13 Dec 2021
| 13 Dec 2021
GMD perspective: The quest to improve the evaluation of groundwater representation in continental- to global-scale models
Department of Civil Engineering and School of Earth and Ocean Sciences, University of Victoria, Victoria, Canada
Thorsten Wagener
Department of Civil Engineering, University of Bristol, Bristol, UK
Cabot Institute, University of Bristol, Bristol, UK
Institute for Environmental Science and Geography, University of Potsdam, Potsdam, Germany
Petra Döll
Institut für Physische Geographie, Goethe-Universität Frankfurt am Main and Senckenberg Leibniz Biodiversity and Climate Research Centre Frankfurt (SBiK-F), Frankfurt am Main, Germany
Samuel C. Zipper
Department of Civil Engineering and School of Earth and Ocean Sciences, University of Victoria, Victoria, Canada
Kansas Geological Survey, University of Kansas, Lawrence, KS, USA
Charles West
Department of Civil Engineering, University of Bristol, Bristol, UK
Yoshihide Wada
International Institute for Applied Systems Analysis, Laxenburg, Austria
Richard Taylor
Department of Geography, University College London, London, UK
Bridget Scanlon
Bureau of Economic Geology, The University of Texas at Austin, Austin, TX, USA
Rafael Rosolem
Department of Civil Engineering, University of Bristol, Bristol, UK
Shams Rahman
Department of Civil Engineering, University of Bristol, Bristol, UK
Nurudeen Oshinlaja
School of Earth and Environmental Sciences & Water Research Institute, Cardiff University, Cardiff, UK
Reed Maxwell
Department of Civil and Environmental Engineering and the High Meadows Environmental Institute, Princeton University, Princeton, NJ, USA
Min-Hui Lo
Department of Atmospheric Sciences, National Taiwan University, Taipei, Taiwan
Hyungjun Kim
Moon Soul Graduate School of Future Strategy, Korea Advanced Institute of Science Technology, Daejeon, Korea
Department of Civil and Environmental Engineering Korea Advanced Institute of Science Technology, Daejeon, Korea
Institute of Industrial Science, The University of Tokyo, Tokyo, Japan
Mary Hill
Department of Geology, University of Kansas, Lawrence, KS, USA
Andreas Hartmann
Chair of Hydrological Modeling and Water Resources, University of Freiburg, Freiburg, Germany
Department of Civil Engineering, University of Bristol, Bristol, UK
Graham Fogg
Department of Land, Air and Water Resources and Earth and Planetary Sciences, University of California, Davis, CA, USA
James S. Famiglietti
School of Environment and Sustainability and Global Institute for Water Security, University of Saskatchewan, Saskatoon, Canada
Agnès Ducharne
Sorbonne Université, CNRS, EPHE, IPSL, UMR 7619 METIS, Paris, France
Inge de Graaf
Chair of Environmental Hydrological Systems, University of Freiburg, Freiburg, Germany
Water Systems and Global Change Group, Wageningen University, Wageningen, the Netherlands
Mark Cuthbert
School of Earth and Environmental Sciences & Water Research Institute, Cardiff University, Cardiff, UK
School of Civil and Environmental Engineering, The University of New South Wales, Sydney, Australia
Laura Condon
Department of Hydrology & Atmospheric Sciences, University of Arizona, Tucson, AZ, USA
Etienne Bresciani
Center for Advanced Studies in Arid Zones (CEAZA), La Serena, Chile
Marc F. P. Bierkens
Physical Geography, Utrecht University, Utrecht, the Netherlands
Deltares, Utrecht, the Netherlands
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- Improved data splitting methods for data-driven hydrological model development based on a large number of catchment samples J. Chen et al. 10.1016/j.jhydrol.2022.128340
- Enhancing the representation of water management in global hydrological models G. Abeshu et al. 10.5194/gmd-16-5449-2023
- The Role of Topography in Controlling Evapotranspiration Age C. Yang et al. 10.1029/2023JD039228
- Quantifying groundwater storage dynamics in the Chesapeake Bay watershed (USA) using a large-scale integrated hydrologic model with detailed three-dimensional subsurface representation A. Seck & C. Welty 10.1007/s10040-022-02563-9
- Groundwater Model Impacts Multiannual Simulations of Heat Waves C. Furusho‐Percot et al. 10.1029/2021GL096781
- Continental-scale evaluation of a fully distributed coupled land surface and groundwater model, ParFlow-CLM (v3.6.0), over Europe B. Naz et al. 10.5194/gmd-16-1617-2023
- Constraining the response of continental-scale groundwater flow to climate change B. Mather et al. 10.1038/s41598-022-08384-w
- Groundwater–surface water exchange from temperature time series: A comparative study of heat tracer methods E. Saphores et al. 10.1016/j.jhydrol.2024.130955
- GLOBGM v1.0: a parallel implementation of a 30 arcsec PCR-GLOBWB-MODFLOW global-scale groundwater model J. Verkaik et al. 10.5194/gmd-17-275-2024
- Catchment characterization: Current descriptors, knowledge gaps and future opportunities L. Tarasova et al. 10.1016/j.earscirev.2024.104739
- Groundwater recharge is sensitive to changing long-term aridity W. Berghuijs et al. 10.1038/s41558-024-01953-z
- Understanding process controls on groundwater recharge variability across Africa through recharge landscapes C. West et al. 10.1016/j.jhydrol.2022.127967
- On the challenges of global entity-aware deep learning models for groundwater level prediction B. Heudorfer et al. 10.5194/hess-28-525-2024
- 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
- Calibration of groundwater seepage against the spatial distribution of the stream network to assess catchment-scale hydraulic properties R. Abhervé et al. 10.5194/hess-27-3221-2023
- Solid Water Melt Dominates the Increase of Total Groundwater Storage in the Tibetan Plateau Y. Zou et al. 10.1029/2022GL100092
- Ground truthing global-scale model estimates of groundwater recharge across Africa C. West et al. 10.1016/j.scitotenv.2022.159765
- Hydrological modelling on atmospheric grids: using graphs of sub-grid elements to transport energy and water J. Polcher et al. 10.5194/gmd-16-2583-2023
- Global analysis of groundwater pumping from increased river capture I. de Graaf et al. 10.1088/1748-9326/ad383d
- Deciphering the black box of deep learning for multi-purpose dam operation modeling via explainable scenarios E. Lee & J. Kam 10.1016/j.jhydrol.2023.130177
- Disentangling coastal groundwater level dynamics in a global dataset A. Nolte et al. 10.5194/hess-28-1215-2024
- Simulation of national-scale groundwater dynamics in geologically complex aquifer systems: an example from Great Britain M. Bianchi et al. 10.1080/02626667.2024.2320847
- HydroBench: Jupyter supported reproducible hydrological model benchmarking and diagnostic tool E. Moges et al. 10.3389/feart.2022.884766
- Functional relationships reveal differences in the water cycle representation of global water models S. Gnann et al. 10.1038/s44221-023-00160-y
- Large‐Scale Groundwater Monitoring in Brazil Assisted With Satellite‐Based Artificial Intelligence Techniques C. Renna Camacho et al. 10.1029/2022WR033588
- Global dryland aridity changes indicated by atmospheric, hydrological, and vegetation observations at meteorological stations H. Shi et al. 10.5194/hess-27-4551-2023
- A model comparison assessing the importance of lateral groundwater flows at the global scale I. de Graaf & K. Stahl 10.1088/1748-9326/ac50d2
- Time-frequency analysis of groundwater depth variation based on the ICA-WTC composite method X. Yin et al. 10.1016/j.jhydrol.2022.128914
- Projected Climate‐Driven Changes of Water Table Depth in the World's Major Groundwater Basins M. Costantini et al. 10.1029/2022EF003068
- Assessment of pluri-annual and decadal changes in terrestrial water storage predicted by global hydrological models in comparison with the GRACE satellite gravity mission J. Pfeffer et al. 10.5194/hess-27-3743-2023
- Ground Truthing Global-Scale Model Estimates of Groundwater Recharge Across Africa C. West et al. 10.2139/ssrn.4184338
- Climatic and anthropogenic controls on groundwater dynamics in the Mekong River Basin T. Kabir et al. 10.1016/j.jhydrol.2023.129761
- From coarse resolution to practical solution: GRACE as a science communication and policymaking tool for sustainable groundwater management L. Xu et al. 10.1016/j.jhydrol.2023.129845
- Incorporating Plant Access to Groundwater in Existing Global, Satellite‐Based Evaporation Estimates P. Hulsman et al. 10.1029/2022WR033731
- A high-resolution, 3D groundwater-surface water simulation of the contiguous US: Advances in the integrated ParFlow CONUS 2.0 modeling platform C. Yang et al. 10.1016/j.jhydrol.2023.130294
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- Evaluating quality of soils formed on basement complex rocks in Kaduna State, northern Guinea savanna of Nigeria F. Sadiq et al. 10.1007/s10661-021-09157-0
- Assessment of the ParFlow–CLM CONUS 1.0 integrated hydrologic model: evaluation of hyper-resolution water balance components across the contiguous United States M. O'Neill et al. 10.5194/gmd-14-7223-2021
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Latest update: 19 Apr 2024
Short summary
Groundwater is increasingly being included in large-scale (continental to global) land surface and hydrologic simulations. However, it is challenging to evaluate these simulations because groundwater is
hiddenunderground and thus hard to measure. We suggest using multiple complementary strategies to assess the performance of a model (
model evaluation).
Groundwater is increasingly being included in large-scale (continental to global) land surface...
