Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 14, issue 10
Articles | Volume 14, issue 10
https://doi.org/10.5194/gmd-14-6495-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-14-6495-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 14, issue 10
Methods for assessment of models
 | 
27 Oct 2021
Methods for assessment of models |  | 27 Oct 2021

Object-based analysis of simulated thunderstorms in Switzerland: application and validation of automated thunderstorm tracking with simulation data

Timothy H. Raupach, Andrey Martynov, Luca Nisi, Alessandro Hering, Yannick Barton, and Olivia Martius

Viewed

Total article views: 4,265 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,708 1,474 83 4,265 78 96
  • HTML: 2,708
  • PDF: 1,474
  • XML: 83
  • Total: 4,265
  • BibTeX: 78
  • EndNote: 96
Views and downloads (calculated since 28 May 2021)
Cumulative views and downloads (calculated since 28 May 2021)

Viewed (geographical distribution)

Total article views: 4,265 (including HTML, PDF, and XML) Thereof 4,102 with geography defined and 163 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 29 Oct 2025
Download
Short summary
When simulated thunderstorms are compared to observations or other simulations, a match between overall storm properties is often more important than exact matches to individual storms. We tested a comparison method that uses a thunderstorm tracking algorithm to characterise simulated storms. For May 2018 in Switzerland, the method produced reasonable matches to independent observations for most storm properties, showing its feasibility for summarising simulated storms over mountainous terrain.
Read more
Share