Articles | Volume 22, issue 1
https://doi.org/10.5194/hess-22-529-2018
https://doi.org/10.5194/hess-22-529-2018
Research article
 | 
22 Jan 2018
Research article |  | 22 Jan 2018

A conceptual prediction model for seasonal drought processes using atmospheric and oceanic standardized anomalies: application to regional drought processes in China

Zhenchen Liu, Guihua Lu, Hai He, Zhiyong Wu, and Jian He

Viewed

Total article views: 4,430 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,981 1,339 110 4,430 426 98 132
  • HTML: 2,981
  • PDF: 1,339
  • XML: 110
  • Total: 4,430
  • Supplement: 426
  • BibTeX: 98
  • EndNote: 132
Views and downloads (calculated since 20 Mar 2017)
Cumulative views and downloads (calculated since 20 Mar 2017)

Viewed (geographical distribution)

Total article views: 4,430 (including HTML, PDF, and XML) Thereof 4,233 with geography defined and 197 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 10 Jul 2025
Download
Short summary
Process prediction of seasonal drought is the goal of our study. We developed a drought prediction model based on atmospheric–oceanic anomalies. It is essentially the synchronous statistical relationship between atmospheric–oceanic anomalies and precipitation anomalies, forced by seasonal climate forecast models. It can predict seasonal drought development very well, despite its weakness in drought severity.
Share