Articles | Volume 25, issue 8
Hydrol. Earth Syst. Sci., 25, 4611–4629, 2021
Hydrol. Earth Syst. Sci., 25, 4611–4629, 2021

Research article 30 Aug 2021

Research article | 30 Aug 2021

Combining split-sample testing and hidden Markov modelling to assess the robustness of hydrological models

Etienne Guilpart et al.

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Cited articles

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Bader, J.-C., Cauchy, S., Duffar, L., and Saura, P.: Monographie hydrologique du fleuve Sénégal. De l'origine des mesures jusqu'en 2011, IRD, Marseille (France), IRD edition, available at: (last access: 1 July 2021), 2014 (in French). a, b, c, d, e, f, g
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Short summary
The stationary assumption in hydrology has become obsolete because of climate changes. In that context, it is crucial to assess the performance of a hydrologic model over a wide range of climates and their corresponding hydrologic conditions. In this paper, numerous, contrasted, climate sequences identified by a hidden Markov model (HMM) are used in a differential split-sample testing framework to assess the robustness of a hydrologic model. We illustrate the method on the Senegal River.