学术论文

      Applying the WRF Double-Moment Six-Class Microphysics Scheme in the GRAPES_Meso Model:A Case Study

      Abstract:
      This study incorporated the Weather Research and Forecasting (WRF) model double-moment 6-class (WDM6) mi-crophysics 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 wa-ter vapor for graupel growth, leading to increased precipitation in the cold-rain processes. For areas with the warm-rain 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 pre-cipitation. 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 precipita-tion event.
      Author: Meng ZHANG [1] Hong WANG [2] Xiaoye ZHANG [3] Yue PENG [4] Huizheng CHE [2]
      作者单位: Institute of Urban Meteorology,China Meteorological Administration,Beijing 100089;Beijing Meteorological Service Center,Beijing 100089 State Key Laboratory of Severe Weather/Institute of Atmospheric Composition,Chinese Academy of Meteorological Sciences,Beijing 100081 State Key Laboratory of Severe Weather/Institute of Atmospheric Composition,Chinese Academy of Meteorological Sciences,Beijing 100081;Center for Excellence in Regional Atmospheric Environment,Institute of Urban Environment,Chinese Academy of Sciences,Xiamen 361021 State Key Laboratory of Severe Weather/Institute of Atmospheric Composition,Chinese Academy of Meteorological Sciences,Beijing 100081;Key Laboratory for Aerosol–Cloud–Precipitation of China Meteorological Administration, Nanjing University of Information Science&Technology,Nanjing 210044
      年,卷(期): 2018, 32(2)
      在线出版日期: 2018年6月5日
      基金项目: the National Key Project,National Natural Science Foundation of China,National(Key)973 Program,Chinese Academy of Meteorological Sciences'Project,Key Project of Air Pollu-tion Cause and Control