Articles | Volume 22, issue 1
Research article
01 Feb 2018
Research article |  | 01 Feb 2018

Searching for the optimal drought index and timescale combination to detect drought: a case study from the lower Jinsha River basin, China

Javier Fluixá-Sanmartín, Deng Pan, Luzia Fischer, Boris Orlowsky, Javier García-Hernández, Frédéric Jordan, Christoph Haemmig, Fangwei Zhang, and Jijun Xu


Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to revisions (further review by Editor and Referees) (01 Aug 2017) by Pierre Gentine
AR by Javier Fluixa-Sanmartin on behalf of the Authors (07 Sep 2017)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (05 Oct 2017) by Pierre Gentine
RR by Anonymous Referee #2 (09 Nov 2017)
RR by Anonymous Referee #1 (06 Dec 2017)
ED: Publish subject to technical corrections (20 Dec 2017) by Pierre Gentine
Short summary
In China, droughts represent a severe threat to socioeconomic development and ecosystems. It is thus necessary to characterize these events in order to reduce and anticipate their impacts. This study proposes an innovative approach for a catchment-wide drought detection and characterization. Two overall drought indicators have been defined and calibrated with real historical events, which have been collected and cataloged.