Articles | Volume 27, issue 5
https://doi.org/10.5194/hess-27-1077-2023
https://doi.org/10.5194/hess-27-1077-2023
Technical note
 | 
14 Mar 2023
Technical note |  | 14 Mar 2023

Technical note: A stochastic framework for identification and evaluation of flash drought

Yuxin Li, Sisi Chen, Jun Yin, and Xing Yuan

Viewed

Total article views: 2,348 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,746 539 63 2,348 49 39 41
  • HTML: 1,746
  • PDF: 539
  • XML: 63
  • Total: 2,348
  • Supplement: 49
  • BibTeX: 39
  • EndNote: 41
Views and downloads (calculated since 07 Sep 2022)
Cumulative views and downloads (calculated since 07 Sep 2022)

Viewed (geographical distribution)

Total article views: 2,348 (including HTML, PDF, and XML) Thereof 2,203 with geography defined and 145 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 29 Jun 2024
Download
Short summary
Flash drought is referred to the rapid development of drought events with a fast decline of soil moisture, which has serious impacts on agriculture, the ecosystem, human health, and society. While flash droughts have received much research attention, there is no consensus on its definition. Here we used a stochastic water balance framework to quantify the timing of soil moisture crossing different thresholds, providing an efficient tool for diagnosing and monitoring flash droughts.