Articles | Volume 17, issue 5
https://doi.org/10.5194/esd-17-1201-2026
https://doi.org/10.5194/esd-17-1201-2026
Research article
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07 Sep 2026
Research article | Highlight paper |  | 07 Sep 2026

Global hyper-resolution modeling of historical and future groundwater dynamics

Barry van Jaarsveld, Niko Wanders, Nicole Gyakowah Otoo, Edwin H. Sutanudjaja, Jarno Verkaik, Daniel Zamrsky, and Marc F. P. Bierkens

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Cited articles

Asher, M. J., Croke, B. F. W., Jakeman, A. J., and Peeters, L. J. M.: A Review of Surrogate Models and Their Application to Groundwater Modeling, Water Resour. Res., 51, 5957–5973, https://doi.org/10.1002/2015WR016967, 2015. a
Bäthge, A., Ruz Vargas, C., Lischeid, G., Collenteur, R., Cuthbert, M., Fleckenstein, J., Flörke, M., de Graaf, I., Gnann, S., Hartmann, A., Huggins, X., Moosdorf, N., Wada, Y., Wagener, T., and Reinecke, R.: A Global-Scale Time Series Dataset for Groundwater Studies within the Earth System, Scientific Data, 13, 401, https://doi.org/10.1038/s41597-026-06966-1, 2026. a, b, c
Bennett, A., Tran, H., De La Fuente, L., Triplett, A., Ma, Y., Melchior, P., Maxwell, R. M., and Condon, L. E.: Spatio-Temporal Machine Learning for Regional to Continental Scale Terrestrial Hydrology, J. Adv. Model. Earth Sy., 16, e2023MS004095, https://doi.org/10.1029/2023MS004095, 2024. a
Béraud, T., Claprood, M., and Gloaguen, E.: A Sequential Ensemble Smoother for Multiple Data Assimilation in Hydrogeological Modeling, Front. Water, 6, https://doi.org/10.3389/frwa.2024.1462914, 2024. a, b
Berghuijs, W. R., Collenteur, R. A., Jasechko, S., Jaramillo, F., Luijendijk, E., Moeck, C., van der Velde, Y., and Allen, S. T.: Groundwater Recharge Is Sensitive to Changing Long-Term Aridity, Nat. Clim. Change, 14, 357–363, https://doi.org/10.1038/s41558-024-01953-z, 2024. a, b, c, d, e, f, g, h
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Editorial statement
Groundwater depletion is among the most pressing global environmental challenges today, with a recent UN report warning of an "era of global water bankruptcy.” This study sheds light on how groundwater resources are likely to evolve through to 2100 under different climate and socioeconomic scenarios at hyper‑resolution (~1 km). All model simulations are openly accessible to support research and decision‑making in regions where observational data are limited.
Short summary
We simulated how global groundwater levels have changed in the past and how they might change in the future. By improving model accuracy and using hyper-resolution data, we can now see where water tables are falling or rising across the world at 1km resolution. These results help communities and decision-makers plan for more sustainable water use in a changing climate.
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