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Retrieval of aerosol optical depth in vicinity of broken clouds from reflectance ratios: Sensitivity study

机译:从反射率反演碎云附近的气溶胶光学深度:敏感性研究

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摘要

We conducted a sensitivity study to better understand the potential of a new method for retrieving aerosol optical depth (AOD) under partly cloudy conditions. This method exploits ratios of reflectances in the visible spectral range and provides an effective way to avoid three-dimensional (3D) cloud effects. The sensitivity study is performed for different observational conditions and random errors in input data. The results of the sensitivity study suggest that this ratio method has the ability to detect clear pixels even in close proximity to clouds. Such detection does not require a statistical analysis of the two-dimensional (2D) horizontal distribution of reflected solar radiation, which makes it suitable for operational retrievals. in comparison with previously suggested approaches, the ratio method has the capability to increase the "harvest" of clear pixels. Similar to the traditional independent pixel approximation (IPA), the ratio method has a low computational cost for retrieving AOD. In contrast to the IPA method, the ratio method provides much more accurate estimations of the AOD values under broken cloud conditions: pixel-based and domain-averaged estimations of errors in AOD are about 25% and 10%, respectively. Finally, both the ratio-based cloud screening and the accuracy of domain-averaged ratio-based AOD values do not suffer greatly when 5% random errors are introduced in the reflectances.
机译:我们进行了敏感性研究,以更好地了解在部分多云的条件下检索气溶胶光学深度(AOD)的新方法的潜力。该方法利用了可见光谱范围内的反射率,并提供了避免三维(3D)云效应的有效方法。针对不同的观察条件和输入数据中的随机误差进行了敏感性研究。灵敏度研究的结果表明,该比率方法即使在非常接近云的情况下也具有检测清晰像素的能力。这种检测不需要对反射的太阳辐射的二维(2D)水平分布进行统计分析,这使其适合进行操作性检索。与以前建议的方法相比,比率方法具有增加清晰像素“收获”的能力。与传统的独立像素近似(IPA)相似,比率方法检索AOD的计算成本较低。与IPA方法相比,比率方法在破碎的云条件下可以提供更准确的AOD值估计:基于像素的AOD误差估计和域平均估计分别约为25%和10%。最后,当在反射率中引入5%的随机误差时,基于比率的云筛查和基于域平均比率的AOD值的准确性都不会受到很大影响。

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