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Cited article:

Using supervised machine learning for regional hydrological hazard estimation in metropolitan France

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Journal of Hydrology: Regional Studies 54 101872 (2024)
https://doi.org/10.1016/j.ejrh.2024.101872

A classification approach to reconstruct local daily drying dynamics at headwater streams

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Hydrological Processes 33 (13) 1896 (2019)
https://doi.org/10.1002/hyp.13445

Synthetic design hydrographs for ungauged catchments: a comparison of regionalization methods

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Stochastic Environmental Research and Risk Assessment 32 (7) 1993 (2018)
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Ensemble reconstruction of spatio-temporal extreme low-flow events in France since 1871

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Hydrology and Earth System Sciences 21 (6) 2923 (2017)
https://doi.org/10.5194/hess-21-2923-2017

The concept of travelling bedload and its consequences for bedload computation in mountain streams

Guillaume Piton and Alain Recking
Earth Surface Processes and Landforms 42 (10) 1505 (2017)
https://doi.org/10.1002/esp.4105

Data‐based comparison of frequency analysis methods: A general framework

B. Renard, K. Kochanek, M. Lang, F. Garavaglia, E. Paquet, L. Neppel, K. Najib, J. Carreau, P. Arnaud, Y. Aubert, F. Borchi, J.‐M. Soubeyroux, S. Jourdain, J.‐M. Veysseire, E. Sauquet, T. Cipriani and A. Auffray
Water Resources Research 49 (2) 825 (2013)
https://doi.org/10.1002/wrcr.20087