Articles | Volume 30, issue 19
https://doi.org/10.5194/hess-30-6115-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-30-6115-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
30 Sep 2026
Research article |
| 30 Sep 2026
| 30 Sep 2026
Divergent responses of streamflow reanalysis errors to precipitation reanalysis errors modulated by catchment heterogeneity
Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), School of Civil Engineering, Sun Yat-Sen University, Guangzhou, China
Tongtiegang Zhao
CORRESPONDING AUTHOR
Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), School of Civil Engineering, Sun Yat-Sen University, Guangzhou, China
Zexin Chen
Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), School of Civil Engineering, Sun Yat-Sen University, Guangzhou, China
Zeqing Huang
Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, New Territories, Hong Kong SAR, China
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Short summary
This paper explores how streamflow reanalysis responds to precipitation forcing errors across 671 catchments in the United States. For the Global Flood Awareness System v4.0 driven by European Centre for Medium-Range Weather Forecasts Reanalysis v5, each 1 mm increase in precipitation error causes a mean increase of 0.51 mm streamflow error. This response varies by catchments as humid regions amplify the increased errors up to 2.5 mm, but arid and snowy regions dampen or delay them by storage.
This paper explores how streamflow reanalysis responds to precipitation forcing errors across...
