Articles | Volume 19, issue 1
https://doi.org/10.5194/gmd-19-523-2026
© Author(s) 2026. 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-19-523-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
The ISIMIP groundwater sector: a framework for ensemble modeling of global change impacts on groundwater
Institute of Geography, Johannes Gutenberg-University, Mainz, Mainz, Germany
Tanjila Akhter
Department of Civil and Environmental Engineering, Michigan State University, East Lansing, Michigan, USA
Annemarie Bäthge
Institute of Geography, Johannes Gutenberg-University, Mainz, Mainz, Germany
Ricarda Dietrich
Institute of Geography, Johannes Gutenberg-University, Mainz, Mainz, Germany
Sebastian Gnann
Chair of Hydrology, University of Freiburg, Freiburg, Germany
Simon N. Gosling
School of Geography, University of Nottingham, Nottingham, United Kingdom
Danielle Grogan
Institute for the Study of Earth, Oceans, and Space, University of New Hapshire, Durham, New Hampshire, USA
Andreas Hartmann
Institute of Groundwater Management, TU Dresden, Dresden, Germany
Stefan Kollet
Agrosphere (IBG-3), Institute for Bio- and Geosciences, Research Centre Juelich, Juelich, Germany
Rohini Kumar
Department Computational Hydrosystems, Helmholtz Centre for Environmental Research GmbH – UFZ, Leipzig, Germany
Richard Lammers
Institute for the Study of Earth, Oceans, and Space, University of New Hapshire, Durham, New Hampshire, USA
Earth Systems and Global Change Group, Wageningen University and Research, Wageningen, the Netherlands
Yan Liu
Agrosphere (IBG-3), Institute for Bio- and Geosciences, Research Centre Juelich, Juelich, Germany
Nils Moosdorf
Leibniz Centre for Tropical Marine Research (ZMT), Bremen, Germany
Institute of Geosciences, Kiel University, Kiel, Germany
Agrosphere (IBG-3), Institute for Bio- and Geosciences, Research Centre Juelich, Juelich, Germany
Sara Nazari
Leibniz Centre for Tropical Marine Research (ZMT), Bremen, Germany
Chibuike Orazulike
Institute of Groundwater Management, TU Dresden, Dresden, Germany
Yadu Pokhrel
Department of Civil and Environmental Engineering, Michigan State University, East Lansing, Michigan, USA
Jacob Schewe
Potsdam Institute for Climate Impact Research, Member of the Leibniz Association, Potsdam, Germany
Mikhail Smilovic
Water Security Research Group, International Institute for Applied Systems Analysis, Laxenburg, Austria
Chair of Hydrology and Water Resources, ETH Zurich, Zurich, Switzerland
Maryna Strokal
Earth Systems and Global Change Group, Wageningen University and Research, Wageningen, the Netherlands
Wim Thiery
Vrije Universiteit Brussel, Department of Water and Climate, Brussels, Belgium
Yoshihide Wada
Biological and Environmental Science and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
Shan Zuidema
Institute for the Study of Earth, Oceans, and Space, University of New Hapshire, Durham, New Hampshire, USA
Inge de Graaf
Earth Systems and Global Change Group, Wageningen University and Research, Wageningen, the Netherlands
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Executive editor
Groundwater has long been a neglected dimension of hydrological cycle--both in large scale hydrological models and in global change research and models. Inclusion of a groundwater sector in ISIMIP is an important step toward bringing groundwater to the forefront of global change discussions.
Groundwater has long been a neglected dimension of hydrological cycle--both in large scale...
Short summary
Here we describe a collaborative effort to improve predictions of how climate change will affect groundwater. The ISIMIP (The Inter-Sectoral Impact Model Intercomparison Project) 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.
Here we describe a collaborative effort to improve predictions of how climate change will affect...