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

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

doi:https://doi.org/10.5194/hess-24-4339-2020

Articles | Volume 24, issue 9

https://doi.org/10.5194/hess-24-4339-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/hess-24-4339-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 24, issue 9

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

Data sets

Precipitation and temperature data MeteoSwiss https://gate.meteoswiss.ch/idaweb/

ERA-20C ECMWF https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era-20c

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.