Articles | Volume 12, issue 7
https://doi.org/10.5194/gmd-12-2767-2019
https://doi.org/10.5194/gmd-12-2767-2019
Model description paper
 | 
09 Jul 2019
Model description paper |  | 09 Jul 2019

The probabilistic hydrological MARCSHYDRO (the MARkov Chain System) model: its structure and core version 0.2

Elena Shevnina and Andrey Silaev

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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
AR by Elena Shevnina on behalf of the Authors (13 Mar 2019)  Manuscript 
ED: Referee Nomination & Report Request started (25 Mar 2019) by Wolfgang Kurtz
RR by Anonymous Referee #1 (09 Apr 2019)
RR by Anonymous Referee #2 (22 Apr 2019)
ED: Publish subject to minor revisions (review by editor) (24 Apr 2019) by Wolfgang Kurtz
AR by Elena Shevnina on behalf of the Authors (04 May 2019)
ED: Publish as is (28 May 2019) by Wolfgang Kurtz
AR by Elena Shevnina on behalf of the Authors (06 Jun 2019)  Manuscript 
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Short summary
The paper provides a theory and assumptions behind an advance of frequency analysis (AFA) approach in long-term hydrological forecasting. In this paper, a new core of the probabilistic hydrological model MARkov Chain System (MARCSHYDRO) was introduced, together with the code and an example of a climate-scale prediction of an exceedance probability curve of river runoff with low computational costs.