Applying the WRF Double-Moment Six-Class Microphysics Scheme in the GRAPES_Meso Model: A Case Study |
| |
| Authors: | Meng Zhang Hong Wang Xiaoye Zhang Yue Peng Huizheng Che |
| |
| Institution: | 1.Institute of Urban Meteorology,China Meteorological Administration,Beijing,China;2.State Key Laboratory of Severe Weather/Institute of Atmospheric Composition,Chinese Academy of Meteorological Sciences,Beijing,China;3.Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment,Chinese Academy of Sciences,Xiamen,China;4.Key Laboratory for Aerosol–Cloud–Precipitation of China Meteorological Administration,Nanjing University of Information Science & Technology,Nanjing,China;5.Beijing Meteorological Service Center,Beijing,China |
| |
| Abstract: | This study incorporated the Weather Research and Forecasting (WRF) model double-moment 6-class (WDM6) microphysics scheme into the mesoscale version of the Global/Regional Assimilation and PrEdiction System (GRAPES_Meso). A rainfall event that occurred during 3–5 June 2015 around Beijing was simulated by using the WDM6, the WRF single-moment 6-class scheme (WSM6), and the NCEP 5-class scheme, respectively. The results show that both the distribution and magnitude of the rainfall simulated with WDM6 were more consistent with the observation. Compared with WDM6, WSM6 simulated larger cloud liquid water content, which provided more water vapor for graupel growth, leading to increased precipitation in the cold-rain processes. For areas with the warmrain processes, the sensitivity experiments using WDM6 showed that an increase in cloud condensation nuclei (CCN) number concentration led to enhanced CCN activation ratio and larger cloud droplet number concentration (Nc) but decreased cloud droplet effective diameter. The formation of more small-size cloud droplets resulted in a decrease in raindrop number concentration (Nr), inhibiting the warm-rain processes, thus gradually decreasing the amount of precipitation. For areas mainly with the cold-rain processes, the overall amount of precipitation increased; however, it gradually decreased when the CCN number concentration reached a certain magnitude. Hence, the effect of CCN number concentration on precipitation exhibits significant differences in different rainfall areas of the same precipitation event. |
| |
| Keywords: | |
| 本文献已被 SpringerLink 等数据库收录！ |
|
