Articles | Volume 21, issue 11
https://doi.org/10.5194/hess-21-5477-2017
https://doi.org/10.5194/hess-21-5477-2017
Research article
 | 
07 Nov 2017
Research article |  | 07 Nov 2017

Understanding and seasonal forecasting of hydrological drought in the Anthropocene

Xing Yuan, Miao Zhang, Linying Wang, and Tian Zhou

Viewed

Total article views: 4,440 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,744 1,588 108 4,440 94 128
  • HTML: 2,744
  • PDF: 1,588
  • XML: 108
  • Total: 4,440
  • BibTeX: 94
  • EndNote: 128
Views and downloads (calculated since 15 Nov 2016)
Cumulative views and downloads (calculated since 15 Nov 2016)

Viewed (geographical distribution)

Total article views: 4,440 (including HTML, PDF, and XML) Thereof 4,291 with geography defined and 149 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 26 Dec 2024
Download
Short summary
Understanding and forecasting of hydrological drought in the Anthropocene are grand challenges. Human interventions exacerbate hydrological drought conditions and result in earlier drought onset. By considering their effects in the forecast, the probabilistic drought forecast skill increases for both climate-model-based and climatology methods but their difference decreases, suggesting that human interventions can outweigh the climate variability for drought forecasting in the Anthropocene.