Articles | Volume 15, issue 7
https://doi.org/10.5194/gmd-15-2917-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-15-2917-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
07 Apr 2022
Development and technical paper |
| 07 Apr 2022
| 07 Apr 2022
Modeling of streamflow in a 30 km long reach spanning 5 years using OpenFOAM 5.x
Pacific Northwest National Laboratory, Richland, WA, USA
Jie Bao
Pacific Northwest National Laboratory, Richland, WA, USA
Yilin Fang
Pacific Northwest National Laboratory, Richland, WA, USA
William A. Perkins
Pacific Northwest National Laboratory, Richland, WA, USA
Huiying Ren
Pacific Northwest National Laboratory, Richland, WA, USA
Xuehang Song
Pacific Northwest National Laboratory, Richland, WA, USA
Zhuoran Duan
Pacific Northwest National Laboratory, Richland, WA, USA
Zhangshuan Hou
Pacific Northwest National Laboratory, Richland, WA, USA
Xiaoliang He
Pacific Northwest National Laboratory, Richland, WA, USA
Timothy D. Scheibe
Pacific Northwest National Laboratory, Richland, WA, USA
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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.
Climate change affects river discharge variations that alter streamflow. By integrating...
