Articles | Volume 25, issue 8
Hydrol. Earth Syst. Sci., 25, 4611–4629, 2021
https://doi.org/10.5194/hess-25-4611-2021
Hydrol. Earth Syst. Sci., 25, 4611–4629, 2021
https://doi.org/10.5194/hess-25-4611-2021

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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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.