Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 24, issue 9
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

Viewed

Total article views: 2,811 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,853 845 113 2,811 121 134
  • HTML: 1,853
  • PDF: 845
  • XML: 113
  • Total: 2,811
  • BibTeX: 121
  • EndNote: 134
Views and downloads (calculated since 16 Dec 2019)
Cumulative views and downloads (calculated since 16 Dec 2019)

Viewed (geographical distribution)

Total article views: 2,811 (including HTML, PDF, and XML) Thereof 2,480 with geography defined and 331 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 08 Nov 2025
Download
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.
Read more
Share