Articles | Volume 27, issue 2
https://doi.org/10.5194/hess-27-559-2023
https://doi.org/10.5194/hess-27-559-2023
Research article
 | 
27 Jan 2023
Research article |  | 27 Jan 2023

Estimating propagation probability from meteorological to ecological droughts using a hybrid machine learning copula method

Tianliang Jiang, Xiaoling Su, Gengxi Zhang, Te Zhang, and Haijiang Wu

Viewed

Total article views: 5,348 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,965 1,293 90 5,348 68 98
  • HTML: 3,965
  • PDF: 1,293
  • XML: 90
  • Total: 5,348
  • BibTeX: 68
  • EndNote: 98
Views and downloads (calculated since 01 Apr 2022)
Cumulative views and downloads (calculated since 01 Apr 2022)

Viewed (geographical distribution)

Total article views: 5,348 (including HTML, PDF, and XML) Thereof 5,088 with geography defined and 260 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 06 Nov 2025
Download
Short summary
A hybrid method is developed for calculating the propagation probability of meteorological to ecological drought at different levels. Drought events are identified from a three-dimensional perspective. A spatial and temporal overlap rule is developed for extracting propagated drought events.
Share