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

气溶胶空间和时间变异性：内部相关性和子网格尺度效应的观测分析

• 批准号: 0138250
• 负责人: Robert Charlson
• 金额: $ 39.94万
• 依托单位: University of Washington
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-04-15 至 2006-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0138250&HistoricalAwards=false
• 关键词: Aerosol; Spatial; Temporal; Variability; Analysis

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.

将对气溶胶特性的次天气尺度变率进行全面分析。为此目的，项目研究员将收集和合并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数据。仪器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表征，以确定适用于多个区域和气溶胶类型的变化和协变模式。将建立一个气溶胶变异性的一般统计模型，并用于解释和设计未来的实地实验，如果成功，该项目将提供关于气溶胶变异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。