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Precipitation calculation method based on parameterization of distribution function evolution and its performance in global spectral atmospheric model

机译:基于分布函数演化参数化的降水计算方法及其在全球谱大气模型中的性能

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摘要

A new method of precipitation calculation, based on cloud microphysics parameterization is presented. The main idea of the method is to parameterize the evolution of distribution function during precipitation formation process. Gravitational and turbulent coalescence of cloud particles are assumed to be the main processes leading to the rain formation. The method considers the precipitation formation in liquid and mixed phase clouds. The phase state of a cloudy layer is calculated as a function of temperature. The effects of precipitation forcing in underlying cloudy layers, melting and evaporation are taken into account. The proposed method was introduced to a large-scale condensation scheme of the global spectral atmospheric model of the Hydrometcentre of Russia. Numerical experiments with the new version of model were conducted. The numerical results were verified using precipitation observations. The experiments show that the new method improves the skill of precipitation forecast for lead times 24-72 h in summer and 24-36 h in spring. (C) 2003 Elsevier B.V. All rights reserved. [References: 38]
机译:提出了一种基于云微物理参数化的降水计算新方法。该方法的主要思想是参数化降水形成过程中分布函数的演化。云粒的引力和湍流聚结被认为是导致降雨形成的主要过程。该方法考虑了液相和混合相云中的降水形成。计算浑浊层的相态作为温度的函数。考虑了下层多云层中强迫降水,融化和蒸发的影响。该方法被引入到俄罗斯水文中心全球光谱大气模型的大规模冷凝方案中。使用新版本的模型进行了数值实验。利用降水观测结果对数值结果进行了验证。实验表明,该新方法提高了夏季提前24-72h和春季24-36h的降水预报技巧。 (C)2003 Elsevier B.V.保留所有权利。 [参考:38]

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