Stochastic downscaling of precipitation in complex orography:  a simple method to reproduce a realistic fine-scale climatology

Terzago, Silvia; Palazzi, Elisa; von Hardenberg, Jost

doi:https://doi.org/10.5194/nhess-18-2825-2018

Articles | Volume 18, issue 11

https://doi.org/10.5194/nhess-18-2825-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/nhess-18-2825-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 18, issue 11

Research article

|

02 Nov 2018

Research article |

| 02 Nov 2018

Stochastic downscaling of precipitation in complex orography: a simple method to reproduce a realistic fine-scale climatology

Silvia Terzago, Elisa Palazzi, and Jost von Hardenberg

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Final revised paper (published on 02 Nov 2018)
Preprint (discussion started on 09 Jan 2018)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Review to the manuscript - NHESS-2017-452-version2', Anonymous Referee #1, 05 Apr 2018
- AC1: 'Reply to Reviewer#1', Silvia Terzago, 31 Aug 2018
RC2: 'Review', Mario Rohrer, 07 May 2018
- AC2: 'Reply to Reviewer#2', Silvia Terzago, 31 Aug 2018

Peer-review completion

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

ED: Publish as is (02 Oct 2018) by Luca Ferraris

AR by Silvia Terzago on behalf of the Authors (03 Oct 2018) Author's response Manuscript

Short summary

This study proposes a modification to a stochastic downscaling method for precipitation, RainFARM, to improve the representation of the statistics of the daily precipitation at fine scales (1 km) in mountain areas. This method has been demonstrated in the Alps and it has been found to reconstruct small-scale precipitation distribution. It can be employed in a number of applications, including the analysis of extreme events and their statistics and hydrometeorological hazards.