Articles | Volume 17, issue 11
https://doi.org/10.5194/nhess-17-1947-2017
https://doi.org/10.5194/nhess-17-1947-2017
Research article
 | 
16 Nov 2017
Research article |  | 16 Nov 2017

Developing drought impact functions for drought risk management

Sophie Bachmair, Cecilia Svensson, Ilaria Prosdocimi, Jamie Hannaford, and Kerstin Stahl

Viewed

Total article views: 5,162 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,039 1,921 202 5,162 165 202
  • HTML: 3,039
  • PDF: 1,921
  • XML: 202
  • Total: 5,162
  • BibTeX: 165
  • EndNote: 202
Views and downloads (calculated since 31 May 2017)
Cumulative views and downloads (calculated since 31 May 2017)

Viewed (geographical distribution)

Total article views: 5,162 (including HTML, PDF, and XML) Thereof 4,879 with geography defined and 283 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (preprint)

Latest update: 16 Sep 2025
Download
Short summary
This study tests the potential for developing empirical drought impact functions based on hydro-meteorological drought indicators as predictors and text-based reports on drought impacts as a surrogate variable for drought damage. We showcase three data-driven modeling approaches and assess the effect of impact report quantification method.
Share
Altmetrics
Final-revised paper
Preprint