Preprints
https://doi.org/10.5194/hess-2021-147
https://doi.org/10.5194/hess-2021-147

  29 Mar 2021

29 Mar 2021

Review status: a revised version of this preprint is currently under review for the journal HESS.

Technical Note – RAT: a Robustness Assessment Test for calibrated and uncalibrated hydrological models

Pierre Nicolle1,*, Vazken Andréassian1, Paul Royer-Gaspard1, Charles Perrin1, Guillaume Thirel1, Laurent Coron2, and Léonard Santos1 Pierre Nicolle et al.
  • 1Université Paris‐Saclay, INRAE, UR HYCAR, 92160, Antony, France
  • 2EDF, DTG, Toulouse, France
  • *now at: Université Gustave Eiffel, Nantes, France

Abstract. In this note, we present RAT, a new method to assess the robustness of hydrological models. RAT can be seen as an alternative to the classical split-sample test widely used in hydrology. And because the RAT method does not require multiple calibrations, we suggest that it can be applied even to uncalibrated models. The RAT method can be used to determine whether a hydrological model is "safe" for being used for climate change impact studies.

Pierre Nicolle et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on hess-2021-147', Anonymous Referee #1, 03 May 2021
    • AC2: 'Reply on RC1', Vazken Andréassian, 19 May 2021
    • AC3: 'Reply on RC1', Vazken Andréassian, 19 May 2021
    • AC5: 'Additional tests with two climate products', Vazken Andréassian, 26 May 2021
  • RC2: 'Comment on hess-2021-147', Anonymous Referee #2, 17 May 2021
    • AC1: 'Reply on RC2', Vazken Andréassian, 19 May 2021
    • AC4: 'Reply on RC2', Vazken Andréassian, 19 May 2021
  • EC1: 'Editor Comment on hess-2021-147', Bettina Schaefli, 27 May 2021
    • AC6: 'Reply on EC1', Vazken Andréassian, 03 Jun 2021

Pierre Nicolle et al.

Pierre Nicolle et al.

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Short summary
In this note, a new method (RAT) is proposed to assess the robustness of hydrological models. The RAT method is particularly interesting because it does not require multiple calibrations (it is therefore applicable to uncalibrated models) and it can be used to determine whether a hydrological model may be safely used for climate change impact studies. Success at the robustness assessment test is a necessary (but not sufficient) condition of model robustness.