Aerosol Spatial and Temporal Variability: Analysis of Observations for Internal Correlations and Sub-Grid Scale Effects

将对气溶胶特性的次天气尺度变率进行综合分析。为此目的，PIS将汇集和合并来自大量实地活动的数据，包括与直接气候强迫有关的气溶胶物理、化学和光学特性的地面和空中测量。仪器的噪声和不确定性将被量化。然后，将对合并的数据集进行统计特征，以确定适用于多个区域和气溶胶类型的变化和协变的模式。将建立气溶胶可变性的一般统计模型，并用于解释和设计未来的野外实验。如果该项目成功，将提供有关气溶胶可变性模式和气溶胶参数协方差的新信息。这些信息反过来将有助于设计未来的实地实验以及卫星仪器。

A comprehensive analysis of sub-synoptic-scale variability of aerosol properties will be carried out. For this purpose, the PIs will assemble and merge data from a large number of field campaigns, including ground-based and airborne measurements of aerosol physical, chemical and optical properties relevant to direct climate forcing. Instrumental noise and uncertainty will be quantified. Then the merged data set will be statistically characterized to determine patterns of variation and covariation that apply across multiple regions and aerosol types. A general statistical model of aerosol variability will be built and used to interpret and design future field experiments.This project, if successful, will provide new information about patterns of aerosol variability and covariances of aerosol parameters. This information in turn will be useful for designing future field experiments as well as satellite instruments.