Advances in Statistical Climatology, Meteorology and Oceanography
Advances in Statistical Climatology, Meteorology and Oceanography
ASCMO
Articles | Volume 10, issue 1
Articles | Volume 10, issue 1
https://doi.org/10.5194/ascmo-10-29-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/ascmo-10-29-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 10, issue 1
22 Jan 2024
 | 22 Jan 2024

Spatial patterns and indices for heat waves and droughts over Europe using a decomposition of extremal dependency

Svenja Szemkus and Petra Friederichs

Viewed

Total article views: 560 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
449 94 17 560 13 10
  • HTML: 449
  • PDF: 94
  • XML: 17
  • Total: 560
  • BibTeX: 13
  • EndNote: 10
Views and downloads (calculated since 22 Jan 2024)
Cumulative views and downloads (calculated since 22 Jan 2024)

Viewed (geographical distribution)

Total article views: 551 (including HTML, PDF, and XML) Thereof 551 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 11 May 2024
Download
Short summary
This paper uses the tail pairwise dependence matrix (TPDM) proposed by Cooley and Thibaud (2019), which we extend to the description of common extremes in two variables. We develop an extreme pattern index (EPI), a pattern-based aggregation to describe spatially extended weather extremes. Our results show that the EPI is suitable for describing heat waves.  We extend the EPI to describe extremes in two variables and obtain an index to describe compound precipitation deficits and heat waves.
Read more
Special issue
Past and future European atmospheric extreme events under...