Polarimetric signatures of ice microphysical processes and their interpretation using in-situ observations and cloud modeling (POLICE)

冰微物理过程的偏振特征及其使用现场观测和云建模的解释（POLICE）

• 批准号: 408014771
• 负责人: Professor Dr. Clemens Simmer
• 金额: --
• 依托单位: Institut für Physik der Atmosphäre
• 依托单位国家: 德国
• 项目类别: Priority Programmes
• 财政年份: 2018
• 资助国家: 德国
• 起止时间: 2017-12-31 至 2022-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/408014771?language=en
• 关键词: Polarimetric; signatures; ice; microphysical; processes

Research envisioned in POLICE contributes to objective one project, the exploitation of radar polarimetry for quantitative process and model evaluation. Existing and novel in-situ measurements in the dendritic growth layer (DGL) and below will be exploited to evaluate targeted hypotheses on the origin of enhanced specific differential phase KDP in the DGL and quantify existing multiple indicators for the discrimination between aggregation and riming processes to enable the set-up of an according discrimination algorithm based on polarimetric weather radar measurements only. Both the explanation of KDP-bands and the ability to distinguish between aggregation and riming is crucial for data assimilation and model microphysics above the melting layer. In-situ measurements are also used to evaluate state-of-the art polarimetric retrievals of particle number concentration Nt, mean particle diameter Dm and ice water content IWC and to evaluate the representation of particle type and size distribution in ICON-LAM. The use of advanced spectral bin microphysical schemes in the Hebrew University Cloud Model (HUCM) in combination with measured polarimetric profiles will also give insights in processes responsible for potential deficiencies in ICON-LAM leading to an adequate representation of particle type and distribution.

在POLICE中设想的研究有助于目标一项目，即利用雷达偏振测量进行定量过程和模型评估。在树枝状生长层（DGL）及以下现有的和新的原位测量将被利用来评估有针对性的假设在DGL中的增强的特定差分相位KDP的起源和量化现有的多个指标之间的聚合和riming过程的歧视，使相应的歧视算法的基础上，偏振天气雷达测量的设置。无论是KDP带的解释和区分聚合和riming的能力是至关重要的数据同化和模式微物理融化层以上。原位测量也被用来评估国家的最先进的粒子数浓度Nt，平均粒径Dm和冰水含量IWC的极化检索和评估的代表性的粒子类型和尺寸分布在ICON-LAM。在希伯来大学云模型（HUCM）中使用先进的光谱箱微物理方案与测量的偏振剖面相结合，也将深入了解负责ICON-LAM中潜在缺陷的过程，从而充分代表粒子类型和分布。