Articles | Volume 23, issue 3
Research article
21 Mar 2019
Research article |  | 21 Mar 2019

Precipitation projections using a spatiotemporally distributed method: a case study in the Poyang Lake watershed based on the MRI-CGCM3

Ling Zhang, Xiaoling Chen, Jianzhong Lu, Xiaokang Fu, Yufang Zhang, Dong Liang, and Qiangqiang Xu


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: Publish subject to minor revisions (further review by editor) (03 Dec 2018) by Alexander Gelfan
AR by Zhang Ling on behalf of the Authors (15 Dec 2018)  Author's response   Manuscript 
ED: Publish subject to technical corrections (31 Dec 2018) by Alexander Gelfan
AR by Zhang Ling on behalf of the Authors (07 Jan 2019)  Author's response   Manuscript 
Short summary
To bridge the gap between the global climate model (GCM) and local climate variables, a spatiotemporally distributed downscaling model was developed. The method was applied to the Poyang Lake watershed to analyze the precipitation changes in the 21th century. The results showed increasing heterogeneities in temporal and spatial distribution under future climate warming. Analyses with temperature increases showed that precipitation changes appeared significantly correlated to climate warming.