Articles | Volume 24, issue 9
https://doi.org/10.5194/hess-24-4339-2020
https://doi.org/10.5194/hess-24-4339-2020
Research article
 | 
04 Sep 2020
Research article |  | 04 Sep 2020

Assessment of meteorological extremes using a synoptic weather generator and a downscaling model based on analogues

Damien Raynaud, Benoit Hingray, Guillaume Evin, Anne-Catherine Favre, and Jérémy Chardon

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Cited articles

Abatzoglou, J. T. and Brown, T. J.: A comparison of statistical downscaling methods suited for wildfire applications, Int. J. Climatol., 32, 772–780, https://doi.org/10.1002/joc.2312, 2012. 
Ailliot, P., Allard, D., Monbet, V., and Naveau, P.: Stochastic weather generators: an overview of weather type models, Journal de la Société Française de Statistique, 156, 101–113, 2015. 
Andres, N., Badoux, A., and Hegg, C.: EXAR – Grundlagen Extremhochwasser Aare-Rhein, Hauptbericht Phase B, Eidg. Forschungsanstalt Für Wald, Schnee Und Landschaft WSL, Birmensdorf, Germany, 2019a. 
Beck, C. H., Jacobeit, J., and Jones, P. D.: Frequency and within-type variations of large-scale circulation types and their effects on low-frequency climate variability in central Europe since 1780, Int. J. Climatol., 27, 473–491, https://doi.org/10.1002/joc.1410, 2007. 
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Short summary
This research paper proposes a weather generator combining two sampling approaches. A first generator recombines large-scale atmospheric situations. A second generator is applied to these atmospheric trajectories in order to simulate long time series of daily regional precipitation and temperature. The method is applied to daily time series in Switzerland. It reproduces adequately the observed climatology and improves the reproduction of extreme precipitation values.
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