Journal cover Journal topic
Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
Hydrol. Earth Syst. Sci., 21, 1611-1629, 2017
https://doi.org/10.5194/hess-21-1611-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Research article
17 Mar 2017
Seasonal forecasting of hydrological drought in the Limpopo Basin: a comparison of statistical methods
Mathias Seibert et al.
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Interactive discussionStatus: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version      Supplement - Supplement
 
RC1: 'Comments', Anonymous Referee #1, 03 Apr 2016 Printer-friendly Version Supplement 
AC1: 'Reply to Referee', Mathias Seibert, 24 May 2016 Printer-friendly Version Supplement 
 
RC2: 'Seasonal forecasting of hydrologial drought', Anonymous Referee #2, 26 Apr 2016 Printer-friendly Version 
AC2: 'Reply to Referee', Mathias Seibert, 24 May 2016 Printer-friendly Version Supplement 
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (02 Jun 2016) by Fredrik Wetterhall  
AR by Anna Wenzel on behalf of the Authors (19 Jul 2016)  Author's response
ED: Referee Nomination & Report Request started (19 Jul 2016) by Fredrik Wetterhall
ED: Publish subject to minor revisions (Editor review) (26 Sep 2016) by Fredrik Wetterhall  
AR by Mathias Seibert on behalf of the Authors (03 Oct 2016)  Author's response  Manuscript
ED: Publish as is (05 Oct 2016) by Fredrik Wetterhall
CC BY 4.0
Publications Copernicus
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Short summary
Seasonal early warning is vital for drought management in arid regions like the Limpopo Basin in southern Africa. This study shows that skilled seasonal forecasts can be achieved with statistical methods built upon driving factors for drought occurrence. These are the hydrological factors for current streamflow and meteorological drivers represented by anomalies in sea surface temperatures of the surrounding oceans, which combine to form unique combinations in the drought forecast models.
Seasonal early warning is vital for drought management in arid regions like the Limpopo Basin in...
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