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.

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by editor and referees) (01 Nov 2018) by Shraddhanand Shukla
AR by Tobias Pilz on behalf of the Authors (13 Dec 2018)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (20 Dec 2018) by Shraddhanand Shukla
RR by Anonymous Referee #1 (03 Jan 2019)
RR by Anonymous Referee #2 (26 Jan 2019)
ED: Publish subject to minor revisions (review by editor) (20 Feb 2019) by Shraddhanand Shukla
AR by Tobias Pilz on behalf of the Authors (07 Mar 2019)  Author's response    Manuscript
ED: Publish subject to minor revisions (review by editor) (09 Mar 2019) by Shraddhanand Shukla
AR by Tobias Pilz on behalf of the Authors (19 Mar 2019)  Author's response    Manuscript
ED: Publish as is (27 Mar 2019) by Shraddhanand Shukla
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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.