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Volume 27 Issue 5

Sep.  2010

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Article >  ADVANCES IN ATMOSPHERIC SCIENCES  > 2010 >  27(5): 1078-1088

Numerical Simulation of Macro- and Micro-structures of Intense Convective Clouds with a Spectral Bin Microphysics Model

  • 1.

    Key Laboratory of Meteorological Disaster of Ministry of Education, School of Atmospheric Physics, Nanjing University of Information Science & Technology, Nanjing 210044,Key Laboratory of Meteorological Disaster of Ministry of Education, School of Atmospheric Physics, Nanjing University of Information Science & Technology, Nanjing 210044


doi: 10.1007/s00376-010-8088-5

  • By use of a three-dimensional compressible non-hydrostatic convective cloud model with detailed microphysics featuring spectral bins of cloud condensation nuclei (CCN), liquid droplets, ice crystals, snow and graupel particles, the spatial and temporal distributions of hydrometeors in a supercell observed by the (Severe Thunderstorm Electrification and Precipitation Study) STEPS triple-radar network are simulated and analyzed. The bin model is also employed to study the effect of CCN concentration on the evolution characteristics of the supercell. It is found that the CCN concentration not only affects the concentration and spectral distribution of water droplets, but also influences the characteristics of ice crystals and graupel particles. With a larger number of CCN, more water droplets and ice crystals are produced and the growth of graupel is restrained. With a small quantity of CCN the production of large size water droplets are promoted by initially small concentrations of water droplets and ice crystals, leading to earlier formation of small size graupel and restraining the recycling growth of graupel, and thus inhibiting the formation of large size graupel (or small size hail). It can be concluded that both the macroscopic airflow and microphysical processes influence the formation and growth of large size graupel (or small size hail). In regions with heavy pollution, a high concentration of CCN may restrain the formation of graupel and hail, and in extremely clean regions, excessively low concentrations of CCN may also limit the formation of large size graupel (hail).
  • [1] Marcus JOHNSON, Ming XUE, Youngsun JUNG, 2024: Comparison of a Spectral Bin and Two Multi-Moment Bulk Microphysics Schemes for Supercell Simulation: Investigation into Key Processes Responsible for Hydrometeor Distributions and Precipitation, ADVANCES IN ATMOSPHERIC SCIENCES, 41, 784-800.  doi: 10.1007/s00376-023-3069-7
    [2] Wang Pengyun, He Shaoqin, 1989: CCN Concentration in Troposphere over China, ADVANCES IN ATMOSPHERIC SCIENCES, 6, 424-434.  doi: 10.1007/BF02659077
    [3] Xiaofei LI, Qinghong ZHANG, Huiwen XUE, 2017: The Role of Initial Cloud Condensation Nuclei Concentration in Hail Using the WRF NSSL 2-moment Microphysics Scheme, ADVANCES IN ATMOSPHERIC SCIENCES, 34, 1106-1120.  doi: 10.1007/s00376-017-6237-9
    [4] Dejun LI, Chuanfeng ZHAO, Peiren LI, Cao Liu, Dianli GONG, Siyao LIU, Zhengteng YUAN, Yingying CHEN, 2022: Macro- and Micro-physical Characteristics of Different Parts of Mixed Convective-stratiform Clouds and Differences in Their Responses to Seeding, ADVANCES IN ATMOSPHERIC SCIENCES, 39, 2040-2055.  doi: 10.1007/s00376-022-2003-8
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    • Manuscript History

    Manuscript received: 10 September 2010
    Manuscript revised: 10 September 2010
    通讯作者: 陈斌, bchen63@163.com
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      沈阳化工大学材料科学与工程学院 沈阳 110142

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    Numerical Simulation of Macro- and Micro-structures of Intense Convective Clouds with a Spectral Bin Microphysics Model

    • 1. Key Laboratory of Meteorological Disaster of Ministry of Education, School of Atmospheric Physics, Nanjing University of Information Science & Technology, Nanjing 210044,Key Laboratory of Meteorological Disaster of Ministry of Education, School of Atmospheric Physics, Nanjing University of Information Science & Technology, Nanjing 210044
    • Manuscript received: 2010-09-10
    • Manuscript revised: 2010-09-10

    Abstract: By use of a three-dimensional compressible non-hydrostatic convective cloud model with detailed microphysics featuring spectral bins of cloud condensation nuclei (CCN), liquid droplets, ice crystals, snow and graupel particles, the spatial and temporal distributions of hydrometeors in a supercell observed by the (Severe Thunderstorm Electrification and Precipitation Study) STEPS triple-radar network are simulated and analyzed. The bin model is also employed to study the effect of CCN concentration on the evolution characteristics of the supercell. It is found that the CCN concentration not only affects the concentration and spectral distribution of water droplets, but also influences the characteristics of ice crystals and graupel particles. With a larger number of CCN, more water droplets and ice crystals are produced and the growth of graupel is restrained. With a small quantity of CCN the production of large size water droplets are promoted by initially small concentrations of water droplets and ice crystals, leading to earlier formation of small size graupel and restraining the recycling growth of graupel, and thus inhibiting the formation of large size graupel (or small size hail). It can be concluded that both the macroscopic airflow and microphysical processes influence the formation and growth of large size graupel (or small size hail). In regions with heavy pollution, a high concentration of CCN may restrain the formation of graupel and hail, and in extremely clean regions, excessively low concentrations of CCN may also limit the formation of large size graupel (hail).

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