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Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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HESS | Articles | Volume 24, issue 1
Hydrol. Earth Syst. Sci., 24, 169–188, 2020
https://doi.org/10.5194/hess-24-169-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Hydrol. Earth Syst. Sci., 24, 169–188, 2020
https://doi.org/10.5194/hess-24-169-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 14 Jan 2020

Research article | 14 Jan 2020

Temporal rainfall disaggregation using a micro-canonical cascade model: possibilities to improve the autocorrelation

Hannes Müller-Thomy

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by editor and referees) (08 Jul 2019) by Nadav Peleg
AR by Hannes Müller-Thomy on behalf of the Authors (25 Jul 2019)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (29 Jul 2019) by Nadav Peleg
RR by Elena Volpi (01 Aug 2019)
RR by Anonymous Referee #3 (02 Sep 2019)
ED: Reconsider after major revisions (further review by editor and referees) (02 Sep 2019) by Nadav Peleg
AR by Hannes Müller-Thomy on behalf of the Authors (23 Oct 2019)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (25 Oct 2019) by Nadav Peleg
RR by Elena Volpi (19 Nov 2019)
ED: Publish subject to minor revisions (review by editor) (21 Nov 2019) by Nadav Peleg
AR by Anna Wenzel on behalf of the Authors (29 Nov 2019)  Author's response    Manuscript
ED: Publish as is (30 Nov 2019) by Nadav Peleg

Post-review adjustments

AA: Author's adjustment | EA: Editor approval
AA by Hannes Müller-Thomy on behalf of the Authors (10 Jan 2020)   Author's adjustment   Manuscript
EA: Adjustments approved (10 Jan 2020) by Nadav Peleg
Publications Copernicus
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Short summary
Simulation of highly dynamic floods requires high-resolution rainfall time series. Observed time series of that kind are often too short; rainfall generation is the only solution. The applied rainfall generator tends to underestimate the process memory of the rainfall. By modifications of the rainfall generator and a subsequent optimisation method the process memory is improved significantly. Flood simulations are expected to be more trustable using the rainfall time series generated like this.
Simulation of highly dynamic floods requires high-resolution rainfall time series. Observed time...
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