Articles | Volume 19, issue 11
https://doi.org/10.5194/gmd-19-5119-2026
https://doi.org/10.5194/gmd-19-5119-2026
Methods for assessment of models
 | 
15 Jun 2026
Methods for assessment of models |  | 15 Jun 2026

EMMA-Tracker v1.0: a mesoscale convective system tracker and 27-year European observational climatology

David Kneidinger, Armin Schaffer, and Douglas Maraun

Viewed

Since the preprint corresponding to this journal article was posted outside of Copernicus Publications, the preprint-related metrics are limited to HTML views.

Total article views: 979 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
942 0 37 979 0 0
  • HTML: 942
  • PDF: 0
  • XML: 37
  • Total: 979
  • BibTeX: 0
  • EndNote: 0
Views and downloads (calculated since 10 Feb 2026)
Cumulative views and downloads (calculated since 10 Feb 2026)

Viewed (geographical distribution)

Since the preprint corresponding to this journal article was posted outside of Copernicus Publications, the preprint-related metrics are limited to HTML views.

Total article views: 979 (including HTML, PDF, and XML) Thereof 975 with geography defined and 4 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 15 Jun 2026
Download
Short summary
Mesoscale Convective Systems cause extreme weather and flash floods, yet they remain difficult to simulate in climate models. We developed a tracking tool to identify these storms using standard model data. Our 27-year record for Europe shows these systems drive over 60 percent of heavy hourly rain in the warm-season. This algorithm allows us to evaluate climate model performance and investigate how these intense storms will change in a warming climate.
Share