Journal cover Journal topic
Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
https://doi.org/10.5194/hess-2017-226
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Research article
28 Apr 2017
Review status
A revision of this discussion paper is under review for the journal Hydrology and Earth System Sciences (HESS).
Stochastic generation of multi-site daily precipitation for the assessment of extreme floods in Switzerland
Guillaume Evin, Anne-Catherine Favre, and Benoit Hingray Univ. Grenoble Alpes, CNRS, IRD, Grenoble INP*, IGE, F-38000 Grenoble, France
Abstract. Many multi-site stochastic models have been proposed for the generation of daily precipitation, but they generally focus on the reproduction of low to high precipitation events. In this paper, a multi-site daily precipitation model is proposed and aims at reproducing the statistical features of extremely rare events at different temporal and spatial scales. Recent advances and various statistical methods (regionalization, disaggregation) are considered in order to obtain a robust and appropriate representation of the most extreme precipitation fields. Performances are shown at different temporal and spatial scales on a large region located in Switzerland.

Citation: Evin, G., Favre, A.-C., and Hingray, B.: Stochastic generation of multi-site daily precipitation for the assessment of extreme floods in Switzerland, Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2017-226, in review, 2017.
Guillaume Evin et al.
Guillaume Evin et al.
Guillaume Evin et al.

Viewed

Total article views: 567 (including HTML, PDF, and XML)

HTML PDF XML Total BibTeX EndNote
454 96 17 567 8 20

Views and downloads (calculated since 28 Apr 2017)

Cumulative views and downloads (calculated since 28 Apr 2017)

Viewed (geographical distribution)

Total article views: 567 (including HTML, PDF, and XML)

Thereof 556 with geography defined and 11 with unknown origin.

Country # Views %
  • 1

Saved

Discussed

Latest update: 27 Jun 2017
Publications Copernicus
Download
Short summary
This research paper proposes a multi-site daily precipitation model, named GWEX, which aims at reproducing the statistical features of extremely rare events at different temporal and spatial scales. Recent advances and various statistical methods (regionalization, disaggregation) are considered in order to obtain a robust and appropriate representation of the most extreme precipitation fields. Performances are shown with an application to 105 stations covering a large region in Switzerland.
This research paper proposes a multi-site daily precipitation model, named GWEX, which aims at...
Share