Stochastic generation of multi-site daily precipitation focusing on extreme events

By Guillaume Évin, Anne-Catherine Favre, B. Hingray. 2018

100 citations recorded by the source corpus.

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 amounts at the stations concerned. This paper proposes significant extensions to the multi-site daily precipitation model introduced by Wilks, with the aim of reproducing the statistical features of extremely rare events (in terms of frequency and magnitude) at different temporal and spatial scales. In particular, the first extended version integrates heavy-tailed distributions, spatial tail dependence, and temporal dependence in order to obtain a robust and appropriate representation of the most extreme precipitation fields. A second version enhances the first version using a disaggregation method. The performance of these models is compared at different temporal and spatial scales on a large region covering approximately half of Switzerland. While daily extremes are adequately reproduced at the stations by all models, including the benchmark Wilks version, extreme precipitation amounts at larger temporal scales (e.g., 3-day amounts) are clearly underestimated when temporal dependence is ignored.

Subfields: Atmospheric Science, Global and Planetary Change, Soil Science

View Paper: https://www.semanticscholar.org/paper/b0099c031d07d0eee4a2673b6144bb65501ff579

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atmospheric Science

1. Reinhard Furrer
2. M. Brunner
3. Anne-Catherine Favre
4. Jeffrey L. Anderson
5. Marc Bocquet
6. Tommaso Cai
7. Mohsen Pourahmadi

In Global and Planetary Change

1. Reinhard Furrer
2. M. Brunner
3. Anne-Catherine Favre
4. Vijay P. Singh
5. Andrew J. Patton
6. Songbai Song
7. F. Serinaldi
8. Claudia Czado

In Soil Science

1. M. Brunner
2. Reinhard Furrer
3. Anne-Catherine Favre

Citations in the corpus

• Flexible semiparametric generalized Pareto modeling of the entire range of rainfall amount (2019, unknown): “Evin et al. (2018) used this same G to model precipitation in Switzer-land.”
• Modeling the spatial dependence of floods using the Fisher copula (2019, methodology): “…with their main catchment characteristics and an abbreviation that will be used in the sequel of this paper to refer to the individual stations For each of the measurement stations, an hourly runoff time series spanning 30 to 40 years was available from the Federal Office for the Environment”