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Maritime aerosol optical thickness measured by handheld sun photometers

机译:手持式太阳光度计测量的海上气溶胶光学厚度

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For several years, the NASA SIMBIOS Project has collected, processed, and archived optical aerosol data from shipboard sun photometers. The calibration, processing, quality control, and archival methodology for handheld sun photometers are described here, along with their deployment statistics. Data processing has been standardized for all instruments by using identical calibration methods, ancillary data, and processing software. Statistical analysis reveals a dataset influenced by its temporal and geographic distribution, while multimodal histograms for aerosol optical thickness (AOT) and Angstrom exponent reveal varied aerosol populations. A K-means unsupervised classification technique is used to separate these populations. This separation is validated by showing individual classes are more likely to be log-normally (for AOTs) or normally (for Angstrom exponents) distributed than the dataset as a whole. Properties for each class are presented, along with the characteristics of each class by regional oceanic basin. Results also compare favorably with maritime aerosols measured by land-based AERONET Cimels in island sites, while providing data coverage in previously sparsely sampled regions. Aerosol models employed by SeaWiFS (Sea-Viewing Wide Field-of-View Sensor) also compare favorably with these ground based measurements.
机译:几年来,NASA SIMBIOS项目已经从船上太阳光度计收集,处理和存档了光学气溶胶数据。此处介绍了手持式太阳光度计的校准,处理,质量控制和归档方法,以及它们的部署统计信息。通过使用相同的校准方法,辅助数据和处理软件,所有仪器的数据处理已经标准化。统计分析揭示了受其时间和地理分布影响的数据集,而气溶胶光学厚度(AOT)和Angstrom指数的多峰直方图揭示了各种气溶胶种群。使用K均值无监督分类技术来分离这些总体。通过显示单个类别比整个数据集更可能呈对数正态分布(对于AOT)或正态分布(对于Angstrom指数)来验证这种分离。介绍了每个类别的属性,以及每个区域海洋盆地的每个类别的特征。结果也优于岛上陆基AERONET Cimels测得的海洋气溶胶,同时提供了以前稀疏采样区域的数据覆盖范围。 SeaWiFS(海景宽视场传感器)采用的气溶胶模型也与这些基于地面的测量结果相比具有优势。

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