Articles | Volume 24, issue 1
Hydrol. Earth Syst. Sci., 24, 227–248, 2020
https://doi.org/10.5194/hess-24-227-2020
Hydrol. Earth Syst. Sci., 24, 227–248, 2020
https://doi.org/10.5194/hess-24-227-2020
Research article
16 Jan 2020
Research article | 16 Jan 2020

A framework for deriving drought indicators from the Gravity Recovery and Climate Experiment (GRACE)

Helena Gerdener et al.

Viewed

Total article views: 3,312 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,310 972 30 3,312 37 41
  • HTML: 2,310
  • PDF: 972
  • XML: 30
  • Total: 3,312
  • BibTeX: 37
  • EndNote: 41
Views and downloads (calculated since 19 Jun 2019)
Cumulative views and downloads (calculated since 19 Jun 2019)

Viewed (geographical distribution)

Total article views: 2,756 (including HTML, PDF, and XML) Thereof 2,729 with geography defined and 27 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 25 Jun 2022
Download

The requested paper has a corresponding corrigendum published. Please read the corrigendum first before downloading the article.

Short summary
GRACE-derived drought indicators enable us to detect hydrological droughts based on changes observed in all storages. By performing synthetic experiments, we find that droughts identified by existing and modified indicators are biased by trends and GRACE-based spatial noise. A modified version of the Zhao et al. (2017) indicator is found to be particularly robust against spatial noise and is therefore applied to real GRACE data over South Africa.