Articles | Volume 28, issue 7
https://doi.org/10.5194/hess-28-1665-2024
© Author(s) 2024. 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-28-1665-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
11 Apr 2024
Research article |
| 11 Apr 2024
| 11 Apr 2024
Impacts of spatiotemporal resolutions of precipitation on flood event simulation based on multimodel structures – a case study over the Xiang River basin in China
School of Civil Engineering, Southeast University, Nanjing 211189, China
Xiaodong Qin
School of Civil Engineering, Southeast University, Nanjing 211189, China
Dongyang Zhou
School of Civil Engineering, Southeast University, Nanjing 211189, China
Tiantian Yang
School of Civil Engineering and Environmental Science, University of Oklahoma, Norman, OK 73019, USA
Xinyi Song
School of Hydraulic and Environmental Engineering, Changsha University of Science & Technology, Changsha 410114, China
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Short summary
Input data, model and calibration strategy can affect the accuracy of flood event simulation and prediction. Satellite-based precipitation with different spatiotemporal resolutions is an important input source. Data-driven models are sometimes proven to be more accurate than hydrological models. Event-based calibration and conventional strategy are two options adopted for flood simulation. This study targets the three concerns for accurate flood event simulation and prediction.
Input data, model and calibration strategy can affect the accuracy of flood event simulation and...
