Articles | Volume 23, issue 4
Hydrol. Earth Syst. Sci., 23, 1951–1971, 2019
https://doi.org/10.5194/hess-23-1951-2019
Hydrol. Earth Syst. Sci., 23, 1951–1971, 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 et al.

Viewed

Total article views: 1,879 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,293 564 22 1,879 38 35
  • HTML: 1,293
  • PDF: 564
  • XML: 22
  • Total: 1,879
  • BibTeX: 38
  • EndNote: 35
Views and downloads (calculated since 20 Aug 2018)
Cumulative views and downloads (calculated since 20 Aug 2018)

Viewed (geographical distribution)

Total article views: 1,623 (including HTML, PDF, and XML) Thereof 1,593 with geography defined and 30 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Discussed (preprint)

Latest update: 19 Sep 2021
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.