A parameterization scheme for blow-cloud wet scavenging (BWS) was developed and implemented into the Regional Atmospheric Environmental Modeling System for eastern China (RAEMS) to analyze the effect of BWS on the simulation accuracy of PM2.5 over the Yangtze River Delta (YRD) region. Simulations with RAEMS were conducted for the period of Dec. 1st, 2018 through Feb. 28th, 2019. The results showed that RAEMS succeeded in simulating the amount of precipitation and PM2.5 concentration over the YRD region, as well as their spatial pattern and temporal trend. A better performance of PM2.5 simulation was found with the BWS effect included. The mean bias (MB), mean error (ME) and root mean square error (RMSE) decreased by 4.85, 1.72 and 2.35μg/m3, respectively. The normalized mean bias (NMB) and normalized mean error (NME) reduced by 14% and 8%, respectively. The model performance is improved at about 90% cities. The introduction of BWS effect to RAEMS reduced the modeled PM2.5 concentration with the increase of precipitation intensity, which improved RAEMS in terms of wet scavenging processes. The disadvantage was found that the BWS effect exacerbates underestimation of PM2.5 concentration at some YRD cities and it may be related to model bias of other processes.
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