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首页> 外文期刊>Advances in Atmospheric Sciences >The Cloud Processes of a Simulated Moderate Snowfall Event in North China
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The Cloud Processes of a Simulated Moderate Snowfall Event in North China

机译：华北一次模拟中度降雪事件的云过程

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摘要

The understanding of the cloud processes of snowfall is essential to the artificial enhancement of snow and the numerical simulation of snowfall. The mesoscale model MM5 is used to simulate a moderate snowfall event in North China that occurred during 20-21 December 2002. Thirteen experiments are performed to test the sensitivity of the simulation to the cloud physics with different cumulus parameterization schemes and different options for the Goddard cloud microphysics parameterization schemes. It is shown that the cumulus parameterization scheme has little to do with the simulation result. The results also show that there are only four classes of water substances, namely the cloud water, cloud ice, snow, and vapor, in the simulation of the moderate snowfall event. The analysis of the cloud microphysics budgets in the explicit experiment shows that the condensation of supersaturated vapor, the depositional growth of cloud ice, the initiation of cloud ice, the accretion of cloud ice by snow, the accretion of cloud water by snow, the deposition growth of snow, and the Bergeron process of cloud ice are the dominant cloud microphysical processes in the simulation. The accretion of cloud water by snow and the deposition growth of the snow are equally important in the development of the snow.
机译：了解降雪的云过程对于人工增强降雪和降雪的数值模拟至关重要。中尺度模型MM5用于模拟2002年12月20日至21日在华北发生的一次中等降雪事件。进行了十三项实验，以测试该模拟对云物理的敏感性，其中使用了不同的积云参数化方案和戈达德的不同选择云微物理参数化方案。结果表明，累积参数化方案与仿真结果无关。结果还表明，在模拟中度降雪事件时，只有四类水质，即云水，云冰，雪和蒸气。在显式实验中对云微观物理预算的分析表明，过饱和蒸汽的凝结，云冰的沉积增长，云冰的萌发，雪中云冰的积聚，雪中云水的积聚，沉积在模拟中，雪的生长以及Bergeron云冰过程是主要的云微物理过程。积雪和积雪的积聚在积雪的发展中同样重要。

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