@article{Reinecke2026,
Title = {The ISIMIP groundwater sector: a framework for ensemble modeling of global change impacts on groundwater},
Author = {Reinecke, Robert and Akhter, Tanjila and Bäthge, Annemarie and Dietrich, Ricarda and Gnann, Sebastian and Gosling, Simon N. and Grogan, Danielle and Hartmann, Andreas and Kollet, Stefan and Kumar, Rohini and Lammers, Richard and Liu, Sida and Liu, Yan and Moosdorf, Nils and Naz, Bibi and Nazari, Sara and Orazulike, Chibuike and Pokhrel, Yadu and Schewe, Jacob and Smilovic, Mikhail and Strokal, Maryna and Thiery, Wim and Wada, Yoshihide and Zuidema, Shan and de Graaf, Inge},
Editor = {},
Journal = {Geoscientific model development},
Year = {2026},
Pages = {523-542},
Volume = {19},
Doi = {10.5194/gmd-19-523-2026},
Abstract = {Groundwater serves as a crucial freshwater resource for people and ecosystems, playing a vital role in adapting to climate change. Yet, its availability and dynamics are affected by climate variations, changes in land use, and abstraction. 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 date, no ensemble of groundwater models has been available to assess the impacts of global change. 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, the sectoral output variables that underpinned the modeling protocol, and showcase current model differences and possible future analysis. 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. To showcase the benefits of a joint sector, we utilize available model outputs of the participating models to show the substantial differences in estimating water table depth (global arithmetic mean 6–127 m) and groundwater recharge (global arithmetic mean 78–228 mm yr−1), which is consistent with recent studies on the uncertainty of groundwater models, but with distinct spatial patterns. We further outline synergies with 13 of the 17 existing ISIMIP sectors and specifically discuss those with the global water and water quality sectors. Finally, this paper outlines a vision for ensemble-based groundwater studies that can contribute to a better understanding of the impacts of climate change, land use change, environmental change, and socio-economic change on the world's largest accessible freshwater store – groundwater.},
}
TY - JOUR
AU - Reinecke, Robert
AU - Akhter, Tanjila
AU - Bäthge, Annemarie
AU - Dietrich, Ricarda
AU - Gnann, Sebastian
AU - Gosling, Simon N.
AU - Grogan, Danielle
AU - Hartmann, Andreas
AU - Kollet, Stefan
AU - Kumar, Rohini
AU - Lammers, Richard
AU - Liu, Sida
AU - Liu, Yan
AU - Moosdorf, Nils
AU - Naz, Bibi
AU - Nazari, Sara
AU - Orazulike, Chibuike
AU - Pokhrel, Yadu
AU - Schewe, Jacob
AU - Smilovic, Mikhail
AU - Strokal, Maryna
AU - Thiery, Wim
AU - Wada, Yoshihide
AU - Zuidema, Shan
AU - de Graaf, Inge
TI - The ISIMIP groundwater sector: a framework for ensemble modeling of global change impacts on groundwater
T2 - Geoscientific model development
PY - 2026
SP - 523-542
VL - 19
DO - 10.5194/gmd-19-523-2026
AB - Groundwater serves as a crucial freshwater resource for people and ecosystems, playing a vital role in adapting to climate change. Yet, its availability and dynamics are affected by climate variations, changes in land use, and abstraction. 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 date, no ensemble of groundwater models has been available to assess the impacts of global change. 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, the sectoral output variables that underpinned the modeling protocol, and showcase current model differences and possible future analysis. 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. To showcase the benefits of a joint sector, we utilize available model outputs of the participating models to show the substantial differences in estimating water table depth (global arithmetic mean 6–127 m) and groundwater recharge (global arithmetic mean 78–228 mm yr−1), which is consistent with recent studies on the uncertainty of groundwater models, but with distinct spatial patterns. We further outline synergies with 13 of the 17 existing ISIMIP sectors and specifically discuss those with the global water and water quality sectors. Finally, this paper outlines a vision for ensemble-based groundwater studies that can contribute to a better understanding of the impacts of climate change, land use change, environmental change, and socio-economic change on the world's largest accessible freshwater store – groundwater.
ER -