Articles | Volume 6, issue 1
https://doi.org/10.5194/ascmo-6-61-2020
https://doi.org/10.5194/ascmo-6-61-2020
08 Jun 2020
 | 08 Jun 2020

Robust regional clustering and modeling of nonstationary summer temperature extremes across Germany

Meagan Carney and Holger Kantz

Viewed

Total article views: 1,412 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,047 305 60 1,412 47 48
  • HTML: 1,047
  • PDF: 305
  • XML: 60
  • Total: 1,412
  • BibTeX: 47
  • EndNote: 48
Views and downloads (calculated since 08 Jun 2020)
Cumulative views and downloads (calculated since 08 Jun 2020)

Viewed (geographical distribution)

Total article views: 1,248 (including HTML, PDF, and XML) Thereof 1,185 with geography defined and 63 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 19 Jun 2024
Download
Short summary
Extremes in weather can have lasting effects on human health and resource consumption. Studying the recurrence of these events on a regional scale can improve response times and provide insight into a changing climate. We introduce a set of clustering tools that allow for regional clustering of weather recordings from stations across Germany. We use these clusters to form regional models of summer temperature extremes and find an increase in the mean from 1960 to 2018.