Articles | Volume 21, issue 11
https://doi.org/10.5194/hess-21-5805-2017
https://doi.org/10.5194/hess-21-5805-2017
Research article
 | 
23 Nov 2017
Research article |  | 23 Nov 2017

Evaluation of multiple forcing data sets for precipitation and shortwave radiation over major land areas of China

Fan Yang, Hui Lu, Kun Yang, Jie He, Wei Wang, Jonathon S. Wright, Chengwei Li, Menglei Han, and Yishan Li

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Interactive discussion

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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 (further review by Editor and Referees) (22 Aug 2017) by Fuqiang Tian
AR by Hui Lu on behalf of the Authors (02 Oct 2017)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (06 Oct 2017) by Fuqiang Tian
RR by Anonymous Referee #3 (06 Oct 2017)
RR by Anonymous Referee #1 (12 Oct 2017)
ED: Publish subject to minor revisions (further review by Editor) (12 Oct 2017) by Fuqiang Tian
AR by Hui Lu on behalf of the Authors (16 Oct 2017)  Author's response   Manuscript 
ED: Publish as is (17 Oct 2017) by Fuqiang Tian
AR by Hui Lu on behalf of the Authors (17 Oct 2017)
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Short summary
In this paper, we show that CLDAS has the highest spatial and temporal resolution, and it performs best in terms of precipitation, while it overestimates the shortwave radiation. CMFD also has high resolution and its shortwave radiation data match well with the station data; its annual-mean precipitation is reliable but its monthly precipitation needs improvements. Both GLDAS and CN05.1 over mainland China need to be improved. The results can benefit researchers for forcing data selection.