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https://doi.org/10.5194/egusphere-2025-1181
https://doi.org/10.5194/egusphere-2025-1181
02 Apr 2025
 | 02 Apr 2025
Status: this preprint is open for discussion and under review for Geoscientific Model Development (GMD).

The ISIMIP Groundwater Sector: A Framework for Ensemble Modeling of Global Change Impacts on Groundwater

Robert Reinecke, Annemarie Bäthge, Ricarda Dietrich, Sebastian Gnann, Simon N. Gosling, Danielle Grogan, Andreas Hartmann, Stefan Kollet, Rohini Kumar, Richard Lammers, Sida Liu, Yan Liu, Nils Moosdorf, Bibi Naz, Sara Nazari, Chibuike Orazulike, Yadu Pokhrel, Jacob Schewe, Mikhail Smilovic, Maryna Strokal, Yoshihide Wada, Shan Zuidema, and Inge de Graaf

Abstract. Groundwater serves as a crucial freshwater resource for people and ecosystems, vital in adapting to climate change. Yet, its availability and dynamics are affected by climate variations, changes in land use, and excessive extraction. Despite its importance, our understanding of how global change will influence groundwater in the future remains limited. Multi-model ensembles are powerful tools for impact assessments; compared to single-model studies, they provide a more comprehensive understanding of uncertainties and enhance the robustness of projections by capturing a range of possible outcomes. However, to this point no ensemble of groundwater models was available. Here, we present the new groundwater sector within ISIMIP which combines multiple global, continental, and regional-scale groundwater models. We describe the rationale for the sector, present the sectoral output variables, show first results of a model comparison, and outline the synergies with other existing ISIMIP sectors such as the global water sector and the water quality sector. Currently, eight models are participating in this sector, ranging from gradient-based groundwater models to specialized karst recharge models, each producing up to 19 out of 23 modeling protocol-defined output variables. Utilizing available model outputs for a subset of participating models, we find that the arithmetic mean global water table depth varies substantially between models (6–127 m) and shows a shallower water table compared to other recent studies. Groundwater recharge also differs greatly in the global mean (78–228 mm/y), which is consistent with recent studies on the uncertainty of groundwater recharge but with different spatial patterns. Groundwater recharge changes between 2001 and 2006 show plausible patterns that align with droughts in Spain and Portugal during this period. The simplified comparison highlights the value of a structured model intercomparison project which will help to better understand the impacts of climate change on the world’s largest accessible freshwater store – groundwater.

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Robert Reinecke, Annemarie Bäthge, Ricarda Dietrich, Sebastian Gnann, Simon N. Gosling, Danielle Grogan, Andreas Hartmann, Stefan Kollet, Rohini Kumar, Richard Lammers, Sida Liu, Yan Liu, Nils Moosdorf, Bibi Naz, Sara Nazari, Chibuike Orazulike, Yadu Pokhrel, Jacob Schewe, Mikhail Smilovic, Maryna Strokal, Yoshihide Wada, Shan Zuidema, and Inge de Graaf

Status: open (until 28 May 2025)

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  • RC1: 'Comment on egusphere-2025-1181', Anonymous Referee #1, 11 Apr 2025 reply
Robert Reinecke, Annemarie Bäthge, Ricarda Dietrich, Sebastian Gnann, Simon N. Gosling, Danielle Grogan, Andreas Hartmann, Stefan Kollet, Rohini Kumar, Richard Lammers, Sida Liu, Yan Liu, Nils Moosdorf, Bibi Naz, Sara Nazari, Chibuike Orazulike, Yadu Pokhrel, Jacob Schewe, Mikhail Smilovic, Maryna Strokal, Yoshihide Wada, Shan Zuidema, and Inge de Graaf
Robert Reinecke, Annemarie Bäthge, Ricarda Dietrich, Sebastian Gnann, Simon N. Gosling, Danielle Grogan, Andreas Hartmann, Stefan Kollet, Rohini Kumar, Richard Lammers, Sida Liu, Yan Liu, Nils Moosdorf, Bibi Naz, Sara Nazari, Chibuike Orazulike, Yadu Pokhrel, Jacob Schewe, Mikhail Smilovic, Maryna Strokal, Yoshihide Wada, Shan Zuidema, and Inge de Graaf

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Short summary
Here we describe a collaborative effort to improve predictions of how climate change will affect groundwater. The ISIMIP groundwater sector combines multiple global groundwater models to capture a range of possible outcomes and reduce uncertainty. Initial comparisons reveal significant differences between models in key metrics like water table depth and recharge rates, highlighting the need for structured model intercomparisons.
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