Articles | Volume 20, issue 8
https://doi.org/10.5194/nhess-20-2243-2020
https://doi.org/10.5194/nhess-20-2243-2020
Research article
 | 
17 Aug 2020
Research article |  | 17 Aug 2020

Bias correction of a gauge-based gridded product to improve extreme precipitation analysis in the Yarlung Tsangpo–Brahmaputra River basin

Xian Luo, Xuemei Fan, Yungang Li, and Xuan Ji

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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 (further review by editor and referees) (14 Feb 2020) by Sylvie Parey
AR by X. Luo on behalf of the Authors (27 Mar 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (01 Apr 2020) by Sylvie Parey
RR by Yoann Robin (06 Apr 2020)
RR by Anonymous Referee #1 (19 Apr 2020)
ED: Reconsider after major revisions (further review by editor and referees) (22 Apr 2020) by Sylvie Parey
AR by X. Luo on behalf of the Authors (14 May 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (04 Jun 2020) by Sylvie Parey
RR by Yoann Robin (18 Jun 2020)
ED: Publish subject to technical corrections (23 Jun 2020) by Sylvie Parey
AR by X. Luo on behalf of the Authors (01 Jul 2020)  Author's response    Manuscript
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Short summary
In this study, we corrected Asian Precipitation Highly Resolved Observational Data Integration Towards Evaluation of Water Resources (APHRODITE) in the Yarlung Tsangpo–Brahmaputra River Basin using both linear and nonlinear methods, and their influences on resulting extreme precipitation indices were assessed. Results showed that all methods were able to correct mean precipitation, but their ability to correct wet-day frequency and coefficient of variation were markedly different.
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