Articles | Volume 15, issue 3
https://doi.org/10.5194/esd-15-607-2024
https://doi.org/10.5194/esd-15-607-2024
Research article
 | 
21 May 2024
Research article |  | 21 May 2024

Classification of synoptic circulation patterns with a two-stage clustering algorithm using the modified structural similarity index metric (SSIM)

Kristina Winderlich, Clementine Dalelane, and Andreas Walter

Viewed

Total article views: 1,290 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
973 254 63 1,290 52 47 51
  • HTML: 973
  • PDF: 254
  • XML: 63
  • Total: 1,290
  • Supplement: 52
  • BibTeX: 47
  • EndNote: 51
Views and downloads (calculated since 20 Nov 2023)
Cumulative views and downloads (calculated since 20 Nov 2023)

Viewed (geographical distribution)

Total article views: 1,290 (including HTML, PDF, and XML) Thereof 1,257 with geography defined and 33 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 15 Apr 2025
Download
Short summary
We develop a new classification method for synoptic circulation patterns. Its unique novelty is the use of the modified structural similarity index metric (SSIM). We demonstrate an exemplary application of the synoptic circulation classes obtained with the new classification method for evaluating historical climate simulations. We introduce a distance metric to measure the match in frequency and duration of synoptic classes between a climate simulation and the reference.
Share
Altmetrics
Final-revised paper
Preprint