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Functional relationships reveal differences in the water cycle representation of global water models

Gnann, Sebastian; Reinecke, Robert; Stein, Lina; Wada, Yoshihide; Thiery, Wim; Satoh, Yusuke; Pokhrel, Yadu; Ostberg, Sebastian; Koutroulis, Aristeidis; Hanasaki, Naota; Grillakis, Manolis; Gosling, Simon N.; Burek, Peter; Bierkens, Marc F. P.; Wagener, Thorsten

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Authors

Sebastian Gnann

Robert Reinecke

Lina Stein

Yoshihide Wada

Wim Thiery

Yusuke Satoh

Yadu Pokhrel

Sebastian Ostberg

Aristeidis Koutroulis

Naota Hanasaki

Manolis Grillakis

Dr SIMON GOSLING SIMON.GOSLING@NOTTINGHAM.AC.UK
Professor of Climate Risks and Environmental Modelling

Peter Burek

Marc F. P. Bierkens

Thorsten Wagener



Abstract

AbstractGlobal water models are increasingly used to understand past, present and future water cycles, but disagreements between simulated variables make model-based inferences uncertain. Although there is empirical evidence of different large-scale relationships in hydrology, these relationships are rarely considered in model evaluation. Here we evaluate global water models using functional relationships that capture the spatial co-variability of forcing variables (precipitation, net radiation) and key response variables (actual evapotranspiration, groundwater recharge, total runoff). Results show strong disagreement in both shape and strength of model-based functional relationships, especially for groundwater recharge. Empirical and theory-derived functional relationships show varying agreements with models, indicating that our process understanding is particularly uncertain for energy balance processes, groundwater recharge processes and in dry and/or cold regions. Functional relationships offer great potential for model evaluation and an opportunity for fundamental advances in global hydrology and Earth system research in general.

Citation

Gnann, S., Reinecke, R., Stein, L., Wada, Y., Thiery, W., Satoh, Y., …Wagener, T. (2023). Functional relationships reveal differences in the water cycle representation of global water models. Nature Water, 1, 1079-1090. https://doi.org/10.1038/s44221-023-00160-y

Journal Article Type Article
Acceptance Date Oct 13, 2023
Online Publication Date Nov 27, 2023
Publication Date 2023-12
Deposit Date Oct 27, 2023
Publicly Available Date May 28, 2024
Journal Nature Water
Electronic ISSN 2731-6084
Publisher Nature Research
Peer Reviewed Peer Reviewed
Volume 1
Pages 1079-1090
DOI https://doi.org/10.1038/s44221-023-00160-y
Public URL https://nottingham-repository.worktribe.com/output/26535809
Publisher URL https://www.nature.com/articles/s44221-023-00160-y

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