Regionalizing nonparametric models of precipitation amounts on different temporal scales

Mosthaf, Tobias; Bárdossy, András

doi:https://doi.org/10.5194/hess-21-2463-2017

Articles | Volume 21, issue 5

https://doi.org/10.5194/hess-21-2463-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/hess-21-2463-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 21, issue 5

Research article

|

10 May 2017

Research article |

| 10 May 2017

Regionalizing nonparametric models of precipitation amounts on different temporal scales

Tobias Mosthaf and András Bárdossy

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Final revised paper (published on 10 May 2017)
Supplement to the final revised paper
Preprint (discussion started on 17 Oct 2016)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Review comments', Anonymous Referee #1, 20 Nov 2016
RC2: 'HESS-2016-458_review_comments', Anonymous Referee #2, 01 Dec 2016
RC3: 'Comments of the Regionalizing non-parametric precipitation amount models on different temporal scales', Anonymous Referee #3, 04 Dec 2016
AC1: 'Combined response to reviewers', Tobias Mosthaf, 08 Dec 2016

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

ED: Publish subject to revisions (further review by Editor and Referees) (26 Dec 2016) by Demetris Koutsoyiannis

AR by Tobias Mosthaf on behalf of the Authors (01 Feb 2017) Author's response Manuscript

ED: Referee Nomination & Report Request started (05 Feb 2017) by Demetris Koutsoyiannis

RR by Anonymous Referee #2 (04 Mar 2017)

ED: Publish subject to minor revisions (further review by Editor) (19 Mar 2017) by Demetris Koutsoyiannis

AR by Tobias Mosthaf on behalf of the Authors (29 Mar 2017) Author's response Manuscript

ED: Publish as is (09 Apr 2017) by Demetris Koutsoyiannis

Short summary

Parametric distribution functions are commonly used to model precipitation amounts at gauged and ungauged locations. Nonparametric distributions offer a more flexible way to model precipitation amounts. However, the nonparametric models do not exhibit parameters that can be easily regionalized for application at ungauged locations. To overcome this deficiency, we present a new interpolation scheme for nonparametric models and evaluate the usage of daily gauges for sub-daily resolutions.