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首页> 外文期刊>Journal of the Atmospheric Sciences >A microphysical bulk formulation based on scaling normalization of the particle size distribution. Part II: Data assimilation into physical processes
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A microphysical bulk formulation based on scaling normalization of the particle size distribution. Part II: Data assimilation into physical processes

机译：基于粒度分布的按比例归一化的微物理本体配方。第二部分：将数据同化为物理过程

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摘要

Microphysical schemes based on the scaling normalization of the particle size distribution (PSD) are cast into a variational data assimilation method to assess their ability to retrieve the precipitation structure and humidity from moments of the PSD that can be derived from radar- and ground-based disdrometer measurements. The sedimentation and evaporation, which are the main processes below the cloud base, are examined. Various identical twin experiments are presented in the context of a column time-dependent model used to simulate the passage of precipitating cells over a short period of time. The relative humidity profile is assumed constant. The feedback of the microphysical processes on the thermodynamic fields is ignored. Observations are generated from a three-moment scheme having the zeroth, third, and sixth moments of the PSD as prognostic variables. The model is discretized in terms of the logarithms of the predictive moments, which render the adjustment of the model variables easier to the observations. An upper bound for the characteristic diameter for the sixth moment is however necessary to prevent numerical instabilities from developing during the data assimilation process.
机译：将基于粒度分布（PSD）的比例归一化的微物理方案转换为变分数据同化方法，以评估其从PSD的矩中检索降水结构和湿度的能力，这些矩可以从雷达和地面观测中得出测速仪测量。研究了沉积和蒸发，这是云层下面的主要过程。在列时间相关模型的上下文中提供了各种相同的双生子实验，该模型用于模拟短时间内沉淀细胞的通过。假定相对湿度曲线为常数。微物理过程对热力学场的反馈被忽略。观察是从一个三矩的方案中产生的，该方案以PSD的第0，第3和第6矩作为预后变量。模型根据预测矩的对数离散化，这使得模型变量的调整更易于观察。然而，第六矩的特征直径的上限是必要的，以防止在数据同化过程中出现数值不稳定性。

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