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


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: 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.