Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 30, issue 14
Articles | Volume 30, issue 14
https://doi.org/10.5194/hess-30-4437-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-30-4437-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 30, issue 14
Research article
 | 
17 Jul 2026
Research article |  | 17 Jul 2026

Detection of compound and seesaw hydrometeorological extremes in New Zealand: A copula-based approach

Morgan J. Bennet, Daniel G. Kingston, and Nicolas J. Cullen

Viewed

Total article views: 15,222 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
14,052 954 216 15,222 806 277 209
  • HTML: 14,052
  • PDF: 954
  • XML: 216
  • Total: 15,222
  • Supplement: 806
  • BibTeX: 277
  • EndNote: 209
Views and downloads (calculated since 04 Sep 2025)
Cumulative views and downloads (calculated since 04 Sep 2025)

Viewed (geographical distribution)

Total article views: 15,222 (including HTML, PDF, and XML) Thereof 15,209 with geography defined and 13 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 17 Jul 2026
Download
Short summary
Compound hot-dry and the dry-wet seesaw transition are extreme meteorological events driven by the interaction between rainfall, temperature and soil moisture. Using data covering New Zealand for the 1950-2021 period we model these interactions using both copulas and single variables. The copula approach detects more frequent and intense events, particularly across eastern regions of the country, while also better representing the event drivers and improving our understanding of their risk.
Read more
Share