Articles | Volume 22, issue 8
https://doi.org/10.5194/hess-22-4329-2018
https://doi.org/10.5194/hess-22-4329-2018
Research article
 | 
16 Aug 2018
Research article |  | 16 Aug 2018

Evaluation of Doppler radar and GTS data assimilation for NWP rainfall prediction of an extreme summer storm in northern China: from the hydrological perspective

Jia Liu, Jiyang Tian, Denghua Yan, Chuanzhe Li, Fuliang Yu, and Feifei Shen

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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: Reconsider after major revisions (further review by editor and referees) (05 Mar 2018) by Florian Pappenberger
AR by Jia Liu on behalf of the Authors (29 Apr 2018)  Author's response   Manuscript 
ED: Reconsider after major revisions (further review by editor and referees) (07 May 2018) by Florian Pappenberger
ED: Reconsider after major revisions (further review by editor and referees) (30 May 2018) by Florian Pappenberger
ED: Referee Nomination & Report Request started (05 Jun 2018) by Florian Pappenberger
RR by Anonymous Referee #1 (21 Jun 2018)
RR by Yunqing Xuan (28 Jun 2018)
ED: Publish subject to technical corrections (24 Jul 2018) by Florian Pappenberger
AR by Jia Liu on behalf of the Authors (28 Jul 2018)  Author's response   Manuscript 
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Short summary
Both radar reflectivity and GTS data are good choices for assimilation in improving high-resolution rainfall of the NWP systems, which always fails in providing satisfactory rainfall products for hydrological use. Simultaneously assimilating GTS and radar data always performs better than assimilating radar data alone. The assimilation efficiency of the GTS data is higher than both radar reflectivity and radial velocity considering the number of data assimilated and its effect.