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Articles | Volume 27, issue 20
https://doi.org/10.5194/hess-27-3803-2023
https://doi.org/10.5194/hess-27-3803-2023
Research article
 | 
27 Oct 2023
Research article |  | 27 Oct 2023

A Bayesian updating framework for calibrating the hydrological parameters of road networks using taxi GPS data

Xiangfu Kong, Jiawen Yang, Ke Xu, Bo Dong, and Shan Jiang

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on hess-2023-7', Jeffrey M Sadler, 05 Apr 2023
    • AC1: 'Reply on RC1', Xiangfu Kong, 06 May 2023
  • RC2: 'Comment on hess-2023-7', Anonymous Referee #2, 07 Apr 2023
    • AC2: 'Reply on RC2', Xiangfu Kong, 06 May 2023
    • AC1: 'Reply on RC1', Xiangfu Kong, 06 May 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Reconsider after major revisions (further review by editor and referees) (19 May 2023) by Yue-Ping Xu
AR by Xiangfu Kong on behalf of the Authors (20 Jun 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (14 Jul 2023) by Yue-Ping Xu
RR by Anonymous Referee #2 (19 Aug 2023)
RR by Anonymous Referee #3 (04 Sep 2023)
RR by Jeffrey M Sadler (07 Sep 2023)
ED: Publish subject to technical corrections (11 Sep 2023) by Yue-Ping Xu
AR by Xiangfu Kong on behalf of the Authors (14 Sep 2023)  Author's response   Manuscript 
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Short summary
To solve the issue of sparsity of field-observed runoff data, we propose a methodology that...
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