Journal of Meteorological Research

, Volume 32, Issue 2, pp 246–264 | Cite as

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

  • Meng Zhang
  • Hong Wang
  • Xiaoye Zhang
  • Yue Peng
  • Huizheng Che
Special Collection on Aerosol-Cloud-Radiation Interactions


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.

Key words

mesoscale version of the Global/Regional Assimilation and Prediction System WRF single-moment 6-class scheme microphysics scheme double moment cloud condensation nuclei 


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Copyright information

© The Chinese Meteorological Society and Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  • Meng Zhang
    • 1
    • 5
  • Hong Wang
    • 2
  • Xiaoye Zhang
    • 2
    • 3
  • Yue Peng
    • 2
    • 4
  • Huizheng Che
    • 2
  1. 1.Institute of Urban MeteorologyChina Meteorological AdministrationBeijingChina
  2. 2.State Key Laboratory of Severe Weather/Institute of Atmospheric CompositionChinese Academy of Meteorological SciencesBeijingChina
  3. 3.Center for Excellence in Regional Atmospheric Environment, Institute of Urban EnvironmentChinese Academy of SciencesXiamenChina
  4. 4.Key Laboratory for Aerosol–Cloud–Precipitation of China Meteorological AdministrationNanjing University of Information Science & TechnologyNanjingChina
  5. 5.Beijing Meteorological Service CenterBeijingChina

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