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The role of the gamma function shape parameter in determining differences between condensation rates in bin and bulk microphysics schemes

机译:伽玛函数形状参数在箱和散装微物质方案中凝结率差异的角度

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The condensation and evaporation rates predicted by bin and bulk microphysics schemes in the same model framework are compared in a statistical way using simulations of non-precipitating shallow cumulus clouds. Despite other fundamental disparities between the bin and bulk condensation parameterizations, the differences in condensation rates are predominantly explained by accounting for the width of the cloud droplet size distributions simulated by the bin scheme. While the bin scheme does not always predict a cloud droplet size distribution that is well represented by a gamma distribution function (which is assumed by bulk schemes), this fact appears to be of secondary importance for explaining why the two schemes predict different condensation and evaporation rates. The width of the cloud droplet size is not well constrained by observations, and thus it is difficult to know how to appropriately specify it in bulk microphysics schemes. However, this study shows that enhancing our observations of this width and its behavior in clouds is important for accurately predicting condensation and evaporation rates.
机译:使用非沉淀浅层云的模拟以统计方式比较了同一模型框架中的垃圾和批量微型药物方案预测的缩合和蒸发速率。尽管箱和散装凝结参数之间存在其他基本差异,但是通过占BIN方案模拟的云液滴尺寸分布的宽度来说,冷凝率的差异主要解释。虽然BIN方案并不总是预测由伽马分布函数(由批量方案假定的函数很好地表示的云液滴尺寸分布,但这似乎具有次要的重要性,以便解释两种方案预测不同的凝结和蒸发的原因费率。云液滴尺寸的宽度不受观察的影响,因此难以知道如何在批量微型药物方案中适当地指定它。然而,本研究表明,增强了对这种宽度的观察及其在云中的行为,对于准确地预测凝结和蒸发速率是重要的。

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