Articles | Volume 23, issue 4
https://doi.org/10.5194/hess-23-1951-2019
https://doi.org/10.5194/hess-23-1951-2019
Research article
 | 
11 Apr 2019
Research article |  | 11 Apr 2019

Seasonal drought prediction for semiarid northeast Brazil: what is the added value of a process-based hydrological model?

Tobias Pilz, José Miguel Delgado, Sebastian Voss, Klaus Vormoor, Till Francke, Alexandre Cunha Costa, Eduardo Martins, and Axel Bronstert

Viewed

Total article views: 5,016 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,653 1,241 122 5,016 163 192
  • HTML: 3,653
  • PDF: 1,241
  • XML: 122
  • Total: 5,016
  • BibTeX: 163
  • EndNote: 192
Views and downloads (calculated since 20 Aug 2018)
Cumulative views and downloads (calculated since 20 Aug 2018)

Viewed (geographical distribution)

Total article views: 5,016 (including HTML, PDF, and XML) Thereof 4,629 with geography defined and 387 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 24 May 2026
Download
Short summary
This work investigates different model types for drought prediction in a dryland region. Consequently, the performances of seasonal reservoir volume forecasts derived by a process-based and a statistical hydrological model were evaluated. The process-based approach obtained lower accuracy while resolution and reliability of drought prediction were comparable. Initialisation of the process-based model is worthwhile for more in-depth analyses, provided adequate rainfall forecasts are available.
Share