Articles | Volume 25, issue 8
https://doi.org/10.5194/hess-25-4611-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.Combining split-sample testing and hidden Markov modelling to assess the robustness of hydrological models
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- Final revised paper (published on 30 Aug 2021)
- Preprint (discussion started on 22 Dec 2020)
- Supplement to the preprint
Interactive discussion
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AC1: 'Comment on hess-2020-596', Étienne Guilpart, 08 Jan 2021
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RC1: 'It is interesting to apply the HMM for identifying hydro-climatic condition of data used to calibrate/validate hydrological model.', Anonymous Referee #1, 25 Jan 2021
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AC2: 'Reply on RC1', Étienne Guilpart, 13 Feb 2021
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AC3: 'Final Responses to RC1', Étienne Guilpart, 17 Mar 2021
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AC2: 'Reply on RC1', Étienne Guilpart, 13 Feb 2021
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RC2: 'Comment', Anonymous Referee #2, 17 Feb 2021
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AC4: 'Final Responses to RC2', Étienne Guilpart, 17 Mar 2021
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AC4: 'Final Responses to RC2', Étienne Guilpart, 17 Mar 2021
Peer-review completion
AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by editor and referees) (02 Apr 2021) by Fabrizio Fenicia
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AR by Étienne Guilpart on behalf of the Authors (14 May 2021) 
Author's response
Author's tracked changes
Manuscript
ED: Referee Nomination & Report Request started (18 May 2021) by Fabrizio Fenicia
RR by Anonymous Referee #1 (08 Jun 2021)
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ED: Publish as is (16 Jun 2021) by Fabrizio Fenicia