Preprints
https://doi.org/10.5194/egusphere-2026-5491
https://doi.org/10.5194/egusphere-2026-5491
17 Sep 2026
 | 17 Sep 2026
Status: this preprint is open for discussion and under review for Hydrology and Earth System Sciences (HESS).

The water balance quagmire: a zoom out to close in on climate forcing biases

Matteo Rosales, Fanny J. Sarrazin, Frédéric Hendrickx, and Vazken Andréassian

Abstract. Non closure of the interannual water balance is a major issue in hydrological modelling. Because the potential causes (e.g. forcing biases, groundwater exchanges, anthropogenic influences, streamflow uncertainties) are so inextricably intertwined, many modelers resort to the calibration of 'sweep' parameters, leading to ad hoc corrections of water balance components to improve performance metrics. Such practices can be beneficial when applied 'for the right reasons', although this is seldom possible to verify. In this paper, we look at the untangling of water balance closure through the lens of scale: we hypothesize that the spatial variability of the water balance anomaly signal can be used to separate the different causes of non-closure and, in particular, to discriminate between those which have local determinants (such as groundwater leaks) and those involving non-local or systematic drivers (such as forcing biases). To test the idea, we compute long-term water balance anomalies for 3641 near-natural gauged catchments across Europe, using the CERRA-Land climate reanalyses (1984–2024). We then apply Thin Plate Splines to extract the mesoscale imbalance, a continuous field of low-frequency variability. We show that the extracted signal is most likely driven by the forcing biases of the CERRA-Land reanalysis. The approach is a step forward towards extracting the contribution of climate forcing biases across gauged catchments and beyond. The hypothesis and the associated methodology provide a tool to contain the uncertainties of 'sweeping', paving the way for hydrologically-grounded mesoscale corrections of the forcing variables in large-scale distributed hydrological models.

Competing interests: At least one of the (co-)authors is a member of the editorial board of Hydrology and Earth System Sciences. MR and FH are employed by Electicité de France (EDF), which partially funded this research through the CIFRE program managed by the French association for Research and technology (ANRT). The contact author has declared that none of the remaining authors has any competing interests.

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Matteo Rosales, Fanny J. Sarrazin, Frédéric Hendrickx, and Vazken Andréassian

Status: open (until 29 Oct 2026)

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Matteo Rosales, Fanny J. Sarrazin, Frédéric Hendrickx, and Vazken Andréassian
Matteo Rosales, Fanny J. Sarrazin, Frédéric Hendrickx, and Vazken Andréassian
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Short summary
To shed new light on the enduring problem of long-term water balance non-closure, we hypothesize that the spatial variability of non-closure can help us untangle its many causes and extract the contribution of the climate forcing biases. To test the idea, we analyse the low-frequency variability of the water balance anomaly over 3614 near-natural gauged catchments across Europe. The study paves the way for hydrologically-grounded corrections of the forcing variables in large-scale models.
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