Articles | Volume 23, issue 2
https://doi.org/10.5194/hess-23-1083-2019
https://doi.org/10.5194/hess-23-1083-2019
Research article
 | 
25 Feb 2019
Research article |  | 25 Feb 2019

Flood-related extreme precipitation in southwestern Germany: development of a two-dimensional stochastic precipitation model

Florian Ehmele and Michael Kunz

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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) (10 Jul 2018) by Jan Seibert
AR by Florian Ehmele on behalf of the Authors (02 Aug 2018)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (06 Aug 2018) by Jan Seibert
RR by Anonymous Referee #1 (05 Sep 2018)
RR by Anonymous Referee #2 (06 Sep 2018)
RR by Nadav Peleg (15 Nov 2018)
ED: Publish subject to revisions (further review by editor and referees) (16 Nov 2018) by Jan Seibert
AR by Florian Ehmele on behalf of the Authors (19 Dec 2018)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (19 Dec 2018) by Jan Seibert
RR by Nadav Peleg (22 Dec 2018)
ED: Publish subject to minor revisions (review by editor) (05 Feb 2019) by Jan Seibert
AR by Florian Ehmele on behalf of the Authors (08 Feb 2019)  Author's response   Manuscript 
ED: Publish as is (11 Feb 2019) by Jan Seibert
AR by Florian Ehmele on behalf of the Authors (12 Feb 2019)
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Short summary
The risk estimation of precipitation events with high recurrence periods is difficult due to the limited timescale with meteorological observations and an inhomogeneous distribution of rain gauges, especially in mountainous terrains. In this study a spatially high resolved analytical model, designed for stochastic simulations of flood-related precipitation, is developed and applied to an investigation area in Germany but is transferable to other areas. High conformity with observations is found.