Articles | Volume 9, issue 3
https://doi.org/10.5194/esd-9-985-2018
https://doi.org/10.5194/esd-9-985-2018
Research article
 | 
23 Jul 2018
Research article |  | 23 Jul 2018

Seasonal prediction skill of East Asian summer monsoon in CMIP5 models

Bo Huang, Ulrich Cubasch, and Christopher Kadow

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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 (18 Sep 2017) by Valerio Lucarini
AR by Anna Mirena Feist-Polner on behalf of the Authors (17 Oct 2017)  Author's response
ED: Referee Nomination & Report Request started (25 Nov 2017) by Valerio Lucarini
RR by Anonymous Referee #1 (02 Dec 2017)
RR by Anonymous Referee #2 (15 Dec 2017)
ED: Reconsider after major revisions (24 Dec 2017) by Valerio Lucarini
AR by Bo Huang on behalf of the Authors (05 Jan 2018)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (08 Feb 2018) by Valerio Lucarini
RR by Anonymous Referee #2 (21 Mar 2018)
RR by Anonymous Referee #1 (11 Jun 2018)
ED: Publish subject to minor revisions (review by editor) (28 Jun 2018) by Valerio Lucarini
AR by Bo Huang on behalf of the Authors (02 Jul 2018)  Author's response    Manuscript
ED: Publish as is (11 Jul 2018) by Valerio Lucarini
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Short summary
We find that CMIP5 models show more significant improvement in predicting zonal winds with initialisation than without initialisation based on the knowledge that zonal wind indices can be used as potential predictors for the EASM. Given the initial conditions, two models improve the seasonal prediction skill of the EASM, while one model decreases it. The models have different responses to initialisation due to their ability to depict the EASM–ESNO coupled mode.
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