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The Application of a Meteo-hydrological forecasting System with Rainfall Bias Correction in a Small and Medium-sized Catchment

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Journal of Tropical Meteorology 2022年第2期28卷 154-168页

作者： GAO Yu-fang WU Yu-qing CHEN Yao-deng YU Wei GU Tian-wei WU Ya-zhen School of Applied Meteorology Nanjing University of Information Science and TechnologyNanjing 210044 China School of Atmospheric Sciences Nanjing University of Information Science and TechnologyNanjing 210044 China Weather Tech Services LLCLongmontCO 80503 USA LEIHUA Electronic and Technology Research Institute Aviation Industry Corporation of ChinaWuxiJiangsu 214000 China

Meteo-hydrological forecasting models are an effective way to generate high-resolution gridded rainfall data for water source research and flood *** quality of rainfall data in terms of both intensity and distribution is very important for establishing a reliable meteo-hydrological forecasting *** improve the accuracy of rainfall data,the successive correction method is introduced to correct the bias of rainfall,and a meteo-hydrological forecasting model based on WRF and WRF-Hydro is applied for streamflow forecast over the Zhanghe River catchment in *** performance of WRF rainfall is compared with the China Meteorological Administration Multi-source Precipitation Analysis System(CMPAS),and the simulated streamflow from the model is further *** shows that the corrected WRF rainfall is more similar to the CMPAS in both temporal and spatial distribution than the original WRF *** contrast,the statistical metrics of the corrected WRF rainfall are *** the corrected WRF rainfall is used to drive the WRF-Hydro model,the simulated streamflow of most events is significantly improved in both hydrographs and volume than that of using the original WRF *** the studied events,the largest improvement of the NSE is from-0.68 to *** proves that correcting the bias of WRF rainfall with the successive correction method can greatly improve the performance of streamflow *** general,the WRF/WRF-Hydro meteo-hydrological forecasting model based on the successive correction method has the potential to provide better streamflow forecast in the Zhanghe River catchment.

关键词： streamflow forecast bias correction meteo-hydrological forecasting model WRF WRF-Hydro

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