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Numerical comparison study of cloud microphysical parameterization schemes for a moderate snowfall event in North China

机译:华北一次降雪事件云微物理参数化方案的数值比较研究

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A moderate snowfall event in North China is simulated using the high-resolution mesoscale model MM5. A fourfold-nest experiment, with a minimum horizontal grid size of 2 km, is run. In order to study the cloud microphys-ics processes associated with the snowfall, two experiments were conducted in two inner domains, one using the Goddard scheme (Goddard experiment), and the other using the Reisner scheme (Reisner experiment). The analysis focused on the comparison of the cloud microphysics processes which occurred in the experiments. It is shown that there is no implicit precipitation of cumulus parameterization in the domain of grid scale 18km. The snowfall distribution patterns in the experiments are slightly different, but the microphysical characteristics and processes may have considerable differences between the two experiments: (1) The water substances in the cloud have cloud water, cloud ice and snow, but no rainwater and graupel in the Goddard experiment. However, the water substances in the cloud have cloud ice, snow, and graupel, but no cloud water and rainwater in the Reisner experiment. (2) The cloud ice mixing ratios in the Goddard experiment are larger than those in the Reisner experiment. (3) In the Goddard experiment, the dominantcloud microphysical processes include the growth of cloud water by 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, thedeposition growth of snow and the Bergeron process of cloud ice. In the Reisner experiment, the dominant cloud microphysical processes include the depositional growth of cloud ice, the conversion of cloud ice to snow, the deposition of snow, and the deposition growth of graupel. (4) There is only snowfall in the Goddard experiment. Meanwhile, there is ice fall, snow fall, and graupel in the Reisner experiment. But the ice fall and graupel in the Reisner experiment is very slight and can be ignored.
机译:使用高分辨率中尺度模型MM5模拟了华北地区的一次中等降雪事件。进行了四重巢式实验,最小水平网格大小为2 km。为了研究与降雪有关的云微物理过程,在两个内部域中进行了两个实验,一个使用Goddard方案(Goddard实验),另一个使用Reisner方案(Reisner实验)。分析着重比较了实验中发生的云微观物理过程。结果表明,在18km的网格尺度范围内没有隐性的积云参数化降水。实验中的降雪分布模式略有不同,但两次实验的微观物理特征和过程可能会有很大的差异:(1)云中的水物质有云水,云冰和雪,而雨水中没有雨水和gra。哥达德实验。但是,在Reisner实验中,云中的水物质有云冰,雪和snow,但没有云水和雨水。 (2)戈达德实验中的云冰混合比率大于Reisner实验中的云冰混合比率。 (3)在戈达德实验中,优势云的微观物理过程包括:过饱和蒸汽的凝结导致云水的生长,云冰的沉积生长,云冰的萌发,雪中云冰的积聚,云中积聚。积雪,积雪的生长和冰的伯杰龙过程。在Reisner实验中,主要的云微物理过程包括云冰的沉积生长,云冰向雪的转化,雪的沉积以及gra的沉积生长。 (4)在戈达德实验中只有降雪。同时,Reisner实验中有降冰,降雪和雨滴。但是Reisner实验中的冰滴和冰屑非常轻微,可以忽略不计。

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