Describing the interannual variability of precipitation with the derived distribution approach: effects of  record length and resolution

Meier, Claudio I.; Moraga, Jorge Sebastián; Pranzini, Geri; Molnar, Peter

doi:https://doi.org/10.5194/hess-20-4177-2016

Articles | Volume 20, issue 10

https://doi.org/10.5194/hess-20-4177-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/hess-20-4177-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 20, issue 10

Research article

|

17 Oct 2016

Research article |

| 17 Oct 2016

Describing the interannual variability of precipitation with the derived distribution approach: effects of record length and resolution

Claudio I. Meier, Jorge Sebastián Moraga, Geri Pranzini, and Peter Molnar

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Final revised paper (published on 17 Oct 2016)
Preprint (discussion started on 15 Dec 2015)

Interactive discussion

Status: closed

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

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- Supplement

RC C5717: 'Pulling oneself up by one's bootstraps', Günter Blöschl, 19 Dec 2015
- SC C6902: 'Reply to Prof. Günter Blöschl's comments', Claudio Meier, 29 Feb 2016
RC C6899: 'Manuscript review', Anonymous Referee #2, 29 Feb 2016
- AC C6903: 'Reply to Anonymous Referee #2's comments', Jorge Sebastian Moraga, 29 Feb 2016

Peer-review completion

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

ED: Reconsider after major revisions (11 Mar 2016) by Erwin Zehe

AR by Jorge Sebastian Moraga on behalf of the Authors (15 Jun 2016) Author's response Manuscript

ED: Referee Nomination & Report Request started (15 Jun 2016) by Erwin Zehe

RR by Günter Blöschl (19 Jun 2016)

RR by Anonymous Referee #2 (13 Jul 2016)

ED: Publish subject to minor revisions (Editor review) (01 Aug 2016) by Erwin Zehe

AR by Jorge Sebastian Moraga on behalf of the Authors (11 Aug 2016) Author's response Manuscript

ED: Publish as is (12 Aug 2016) by Erwin Zehe

AR by Jorge Sebastian Moraga on behalf of the Authors (20 Aug 2016)

Short summary

We show that the derived distribution approach is able to characterize the interannual variability of precipitation much better than fitting a probabilistic model to annual rainfall totals, as long as continuously gauged data are available. The method is a useful tool for describing temporal changes in the distribution of annual rainfall, as it works for records as short as 5 years, and therefore does not require any stationarity assumption over long periods.