Articles | Volume 21, issue 11
Hydrol. Earth Syst. Sci., 21, 5823–5846, 2017
https://doi.org/10.5194/hess-21-5823-2017
Hydrol. Earth Syst. Sci., 21, 5823–5846, 2017
https://doi.org/10.5194/hess-21-5823-2017

Research article 24 Nov 2017

Research article | 24 Nov 2017

Simple scaling of extreme precipitation in North America

Silvia Innocenti et al.

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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) (28 Jan 2017) by Jan Seibert
AR by Silvia Innocenti on behalf of the Authors (28 Jan 2017)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (31 Jan 2017) by Jan Seibert
RR by J. Blanchet (14 Feb 2017)
RR by Anonymous Referee #1 (07 Mar 2017)
RR by Anonymous Referee #3 (31 Mar 2017)
ED: Reconsider after major revisions (further review by Editor and Referees) (04 May 2017) by Jan Seibert
AR by Silvia Innocenti on behalf of the Authors (14 Jun 2017)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (03 Jul 2017) by Jan Seibert
RR by Anonymous Referee #4 (31 Aug 2017)
ED: Publish subject to revisions (further review by Editor and Referees) (31 Aug 2017) by Jan Seibert
AR by Silvia Innocenti on behalf of the Authors (05 Oct 2017)  Author's response    Manuscript
ED: Publish as is (22 Oct 2017) by Jan Seibert
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Short summary
The relationship among the extreme rainfall probability distributions and the temporal scales of observation is characterized by the use of scaling models. The validity, the magnitude, and the spatial variability of the estimated scaling laws are evaluated for ~2700 stations in North America. Results demonstrate an improvement of extreme rainfall inference and provide evidence for the influence of both local geographical characteristics and regional climatic features on rainfall scaling.