Articles | Volume 29, issue 12
https://doi.org/10.5194/hess-29-2633-2025
https://doi.org/10.5194/hess-29-2633-2025
Research article
 | 
26 Jun 2025
Research article |  | 26 Jun 2025

Assessing the value of high-resolution data and parameter transferability across temporal scales in hydrological modeling: a case study in northern China

Mahmut Tudaji, Yi Nan, and Fuqiang Tian

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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 egusphere-2024-2966', Anonymous Referee #1, 28 Nov 2024
  • RC2: 'Comment on egusphere-2024-2966', Anonymous Referee #2, 04 Dec 2024
    • AC2: 'Reply on RC2', Maihemuti Tudaji, 22 Dec 2024

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) (07 Jan 2025) by Yongping Wei
AR by Maihemuti Tudaji on behalf of the Authors (12 Feb 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (09 Mar 2025) by Yongping Wei
RR by Anonymous Referee #1 (23 Mar 2025)
RR by Anonymous Referee #2 (10 Apr 2025)
ED: Publish subject to technical corrections (18 Apr 2025) by Yongping Wei
AR by Maihemuti Tudaji on behalf of the Authors (19 Apr 2025)  Manuscript 
Short summary
We assessed the value of high-resolution data and parameter transferability across temporal scales based on seven catchments in northern China. We found that higher-resolution data do not always improve model performance, questioning the need for such data. Model parameters are transferable across different data resolutions but not across computational time steps. It is recommended to utilize a smaller computational time step when building hydrological models even without high-resolution data.
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