Articles | Volume 15, issue 7
https://doi.org/10.5194/gmd-15-2917-2022
https://doi.org/10.5194/gmd-15-2917-2022
Development and technical paper
 | 
07 Apr 2022
Development and technical paper |  | 07 Apr 2022

Modeling of streamflow in a 30 km long reach spanning 5 years using OpenFOAM 5.x

Yunxiang Chen, Jie Bao, Yilin Fang, William A. Perkins, Huiying Ren, Xuehang Song, Zhuoran Duan, Zhangshuan Hou, Xiaoliang He, and Timothy D. Scheibe

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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 gmd-2021-313', V. Voller, 14 Dec 2021
    • AC1: 'Reply on RC1', Yunxiang Chen, 04 Jan 2022
      • AC2: 'Reply on AC1 (including revised paper)', Yunxiang Chen, 04 Jan 2022
      • RC2: 'Reply on AC1', V. Voller, 04 Jan 2022
  • RC3: 'Comment on gmd-2021-313', Anonymous Referee #2, 26 Jan 2022
    • AC3: 'Reply on RC3', Yunxiang Chen, 07 Feb 2022
    • AC4: 'Reply on RC3', Yunxiang Chen, 07 Feb 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Yunxiang Chen on behalf of the Authors (07 Feb 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (19 Feb 2022) by Andrew Wickert
AR by Yunxiang Chen on behalf of the Authors (13 Mar 2022)  Author's response    Manuscript
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Short summary
Climate change affects river discharge variations that alter streamflow. By integrating multi-type survey data with a computational fluid dynamics tool, OpenFOAM, we show a workflow that enables accurate and efficient streamflow modeling at 30 km and 5-year scales. The model accuracy for water stage and depth average velocity is −16–9 cm and 0.71–0.83 in terms of mean error and correlation coefficients. This accuracy indicates the model's reliability for evaluating climate impact on rivers.