Articles | Volume 22, issue 8
https://doi.org/10.5194/hess-22-4201-2018
https://doi.org/10.5194/hess-22-4201-2018
Research article
 | 
07 Aug 2018
Research article |  | 07 Aug 2018

Extending seasonal predictability of Yangtze River summer floods

Shanshan Wang and Xing Yuan

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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: Publish subject to revisions (further review by editor and referees) (16 Jun 2018) by Shraddhanand Shukla
AR by Xing Yuan on behalf of the Authors (17 Jun 2018)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (29 Jun 2018) by Shraddhanand Shukla
RR by Anonymous Referee #1 (09 Jul 2018)
RR by Anonymous Referee #3 (11 Jul 2018)
ED: Publish as is (20 Jul 2018) by Shraddhanand Shukla
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Short summary
Long-range flood forecast is very challenging over monsoonal regions. We investigate the potential of extending seasonal predictability of Yangtze River summer floods by using atmospheric moisture flux prediction with a perfect model assumption. The finding suggests a potential to use atmospheric moisture flux which is more predictable than precipitation at the seasonal timescale, to improve flood forecasting and early warning, especially during post-El Niño summers.