Articles | Volume 21, issue 2
Nat. Hazards Earth Syst. Sci., 21, 723–742, 2021
https://doi.org/10.5194/nhess-21-723-2021
Nat. Hazards Earth Syst. Sci., 21, 723–742, 2021
https://doi.org/10.5194/nhess-21-723-2021

Research article 23 Feb 2021

Research article | 23 Feb 2021

Typhoon rainstorm simulations with radar data assimilation on the southeast coast of China

Jiyang Tian et al.

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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) (07 Dec 2020) by Vassiliki Kotroni
AR by Ronghua Liu on behalf of the Authors (07 Dec 2020)  Author's response    Manuscript
ED: Reconsider after major revisions (further review by editor and referees) (08 Dec 2020) by Vassiliki Kotroni
ED: Referee Nomination & Report Request started (10 Dec 2020) by Vassiliki Kotroni
RR by Anonymous Referee #2 (21 Dec 2020)
RR by Anonymous Referee #1 (24 Dec 2020)
ED: Publish subject to minor revisions (review by editor) (29 Dec 2020) by Vassiliki Kotroni
AR by Ronghua Liu on behalf of the Authors (01 Jan 2021)  Author's response    Manuscript
ED: Publish as is (16 Jan 2021) by Vassiliki Kotroni
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Short summary
A typhoon always comes with heavy rainfall which leads to great loss. The aim of this study is to explore the reasonable use of Doppler radar data assimilation to correct the initial and lateral boundary conditions of the numerical weather prediction (NWP) systems for typhoon rainstorm forecasts at catchment scale. The results show that assimilating radial velocity at a time interval of 1 h can significantly improve the rainfall simulations and outperform the other assimilation modes.
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