Articles | Volume 29, issue 20
https://doi.org/10.5194/hess-29-5477-2025
https://doi.org/10.5194/hess-29-5477-2025
Research article
 | 
21 Oct 2025
Research article |  | 21 Oct 2025

Time shift between precipitation and evaporation has more impact on annual streamflow variability than the elasticity of potential evaporation

Vazken Andréassian, Guilherme Mendoza Guimarães, Alban de Lavenne, and Julien Lerat

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Cited articles

Addor, N., Newman, A. J., Mizukami, N., and Clark, M. P.: The CAMELS data set: catchment attributes and meteorology for large-sample studies, Hydrol. Earth Syst. Sci., 21, 5293–5313, https://doi.org/10.5194/hess-21-5293-2017, 2017. 
Almagro, A., Oliveira, P. T. S., Meira Neto, A. A., Roy, T., and Troch, P.: CABra: a novel large-sample dataset for Brazilian catchments, Hydrol. Earth Syst. Sci., 25, 3105–3135, https://doi.org/10.5194/hess-25-3105-2021, 2021. 
Andréassian, V., Coron, L., Lerat, J., and Le Moine, N.: Climate elasticity of streamflow revisited – an elasticity index based on long-term hydrometeorological records, Hydrol. Earth Syst. Sci., 20, 4503–4524, https://doi.org/10.5194/hess-20-4503-2016, 2016. 
Berghuijs, W. R., Sivapalan, M., Woods, R. A., and Savenije, H. H.: Patterns of similarity of seasonal water balances: A window into streamflow variability over a range of time scales, Water Resour. Res., 50, 5638–5661, https://doi.org/10.1002/2014WR015692, 2014. 
Chiew, F. H. S.: Estimation of rainfall elasticity of streamflow in Australia, Hydrol. Sci. J., 51, 613–625, https://doi.org/10.1623/hysj.51.4.613, 2006. 
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Short summary
Using 4122 catchments from four continents, we investigate how annual streamflow depends on climate variables (rainfall and potential evaporation) and on the season when precipitation occurs, using an index representing the synchronicity between precipitation and potential evaporation. In all countries and under the main climates represented, synchronicity is, after precipitation, the second most important factor in explaining annual streamflow variations.
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