Articles | Volume 21, issue 2
https://doi.org/10.5194/hess-21-1279-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/hess-21-1279-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Extending flood forecasting lead time in a large watershed by coupling WRF QPF with a distributed hydrological model
Department of Water Resources and Environment, Sun Yat-sen
University, Guangzhou, 510275, China
Department of Water Resources and Environment, Sun Yat-sen
University, Guangzhou, 510275, China
Huanyu Wang
Department of Water Resources and Environment, Sun Yat-sen
University, Guangzhou, 510275, China
Jianming Qin
Department of Water Resources and Environment, Sun Yat-sen
University, Guangzhou, 510275, China
Jie Li
Hydrology Bureau, Pearl River
Water Resources Commission, Guangzhou, 510370, China
Sen Chiao
Department of
Meteorology and Climate Science, San Jose State University, San Jose, CA
95192, USA
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- Compounding effects of urbanization, climate change and sea-level rise on monetary projections of flood damage I. Pariartha et al. 10.1016/j.jhydrol.2023.129535
- Meteorological–hydrological coupling flood forecast and error propagation characteristics based on radar data assimilation in small- to medium sized River Basin: a case study of Zhanghe River Basin in China Y. Gao et al. 10.1007/s11069-024-06944-z
- Baipenzhu Reservoir Inflow Flood Forecasting Based on a Distributed Hydrological Model S. Xu et al. 10.3390/w13030272
Latest update: 14 Dec 2024
Short summary
Quantitative precipitation forecast produced by the WRF model has a similar pattern to that estimated by rain gauges in a southern China large watershed, hydrological model parameters should be optimized with QPF produced by WRF, and simulating floods by coupling the WRF QPF with a distributed hydrological model provides a good reference for large watershed flood warning and could benefit the flood management communities due to its longer lead time.
Quantitative precipitation forecast produced by the WRF model has a similar pattern to that...
Special issue