Spatial analysis of precipitation in a high-mountain region: exploring methods with multi-scale topographic predictors and circulation types

Masson, D.; Frei, C.

doi:https://doi.org/10.5194/hess-18-4543-2014

Articles | Volume 18, issue 11

https://doi.org/10.5194/hess-18-4543-2014

© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/hess-18-4543-2014

© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 18, issue 11

Research article

|

17 Nov 2014

Research article |

| 17 Nov 2014

Spatial analysis of precipitation in a high-mountain region: exploring methods with multi-scale topographic predictors and circulation types

D. Masson and C. Frei

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Final revised paper (published on 17 Nov 2014)
Preprint (discussion started on 09 May 2014)

Interactive discussion

Status: closed

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

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RC C1577: 'Review', Bettina Schaefli, 28 May 2014
RC C2370: 'review of hess-2014-112', Anonymous Referee #2, 12 Jul 2014
AC C3619: 'Response from the authors', David Masson, 05 Sep 2014

Peer-review completion

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

ED: Publish as is (06 Oct 2014) by Fuqiang Tian

AR by David Masson on behalf of the Authors (15 Oct 2014) Author's response Manuscript

Short summary

The question of how to utilize information from the physiography/topography in the spatial interpolation of rainfall is a long-standing discussion in the literature. In this study we test ideas that go beyond the approach in popular interpolation schemes today. The key message of our study is that these ideas can at best marginally improve interpolation accuracy, even in a region where a clear benefit would intuitively be expected.