Articles | Volume 22, issue 1
https://doi.org/10.5194/hess-22-655-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-22-655-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Stochastic generation of multi-site daily precipitation focusing on extreme events
Univ. Grenoble Alpes, CNRS, IRD, Grenoble INP, Grenoble, France
Anne-Catherine Favre
Univ. Grenoble Alpes, CNRS, IRD, Grenoble INP, Grenoble, France
Benoit Hingray
Univ. Grenoble Alpes, CNRS, IRD, Grenoble INP, Grenoble, France
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- Coupled annual and daily multivariate and multisite stochastic weather generator to preserve low- and high-frequency variability to assess climate vulnerability K. Ahn 10.1016/j.jhydrol.2019.124443
- Building a puzzle to solve a riddle: A multi-scale disaggregation approach for multivariate stochastic processes with any marginal distribution and correlation structure I. Tsoukalas et al. 10.1016/j.jhydrol.2019.05.017
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- New Approach to Estimate Extreme Flooding Using Continuous Synthetic Simulation Supported by Regional Precipitation and Non-Systematic Flood Data C. Beneyto et al. 10.3390/w12113174
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- Modeling the spatial dependence of floods using the Fisher copula M. Brunner et al. 10.5194/hess-23-107-2019
- A probabilistic risk modelling chain for analysis of regional flood events J. Oliver et al. 10.1007/s00477-019-01681-3
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- Space-time disaggregation of precipitation and temperature across different climates and spatial scales K. Breinl & G. Di Baldassarre 10.1016/j.ejrh.2018.12.002
- Design storm parameterisation for urban drainage studies derived from regional rainfall datasets: A case study in the Spanish Mediterranean region R. Balbastre-Soldevila et al. 10.2166/nh.2024.056
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Latest update: 20 Nov 2024
Short summary
This research paper proposes a multi-site daily precipitation model, named GWEX, which aims to reproduce 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 to...