Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences
NHESS
Articles | Volume 26, issue 5
Articles | Volume 26, issue 5
https://doi.org/10.5194/nhess-26-2031-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/nhess-26-2031-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 26, issue 5
Research article
 | 
08 May 2026
Research article |  | 08 May 2026

Non-stationary dynamics of compound climate extremes: a WRF-CMIP6-GAMLSS framework for southeastern China

Yinchi Zhang, Wanling Xu, Chao Deng, Shao Sun, Miaomiao Ma, Jianhui Wei, Ying Chen, Yi Wang, Lu Gao, and Harald Kunstmann

Viewed

Total article views: 9,223 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
7,227 1,694 302 9,223 970 276 382
  • HTML: 7,227
  • PDF: 1,694
  • XML: 302
  • Total: 9,223
  • Supplement: 970
  • BibTeX: 276
  • EndNote: 382
Views and downloads (calculated since 16 Jun 2025)
Cumulative views and downloads (calculated since 16 Jun 2025)

Viewed (geographical distribution)

Total article views: 9,223 (including HTML, PDF, and XML) Thereof 9,143 with geography defined and 80 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Saved (final revised paper)

Latest update: 16 Sep 2026
Download
Short summary
Most studies of compound extremes assume stationary climate conditions. Here, we combine high-resolution regional climate modeling with non-stationary statistical methods to assess future changes in compound extremes over southeastern China. Our results demonstrate that non-stationary models more accurately capture shifts in the evolution of these events, suggesting that conventional approaches may systematically underestimate future risks.
Read more
Share
Special issue
Methodological innovations for the analysis and management...
Altmetrics
Final-revised paper
Preprint