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Characterization of surface solar-irradiance variability using cloud properties based on satellite observations

机译:利用基于卫星观测的云特性表征表面太阳辐照度变化

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摘要

The variation in surface solar irradiance (SSI) on short timescales has been investigated previously in relation to ground-based observations. Such results are limited to the locality of the observation stations, leading to insufficient knowledge about the spatial distribution of variation features. We propose a method for characterizing variations in SSI using cloud properties obtained from satellite observations. Datasets of cloud properties from satellite observation and SSI from ground-based observation are combined at simultaneous observation points to investigate their relations. The SSI variations are classified statistically into six categories. The cloud properties related to the categorized variation features are then analyzed. From such relations, a statistical discriminant method is used to design a classifier to assign a category to the SSI variation over an area from the cloud properties obtained by satellite observation. The accuracy of classification and feature selection is discussed. (C) 2016 The Authors. Published by Elsevier Ltd.
机译:先前已经针对地面观测研究了短时间尺度上的表面太阳辐照度(SSI)的变化。这样的结果仅限于观测站的位置,导致对变化特征的空间分布的了解不足。我们提出了一种使用从卫星观测获得的云特性来表征SSI变化的方法。来自卫星观测的云特性数据集和来自地面观测的SSI数据集在同时观测点进行组合以研究它们之间的关系。 SSI变量在统计上分为六类。然后分析与分类变化特征有关的云属性。根据这种关系,使用统计判别方法来设计分类器,以便根据通过卫星观测获得的云特性,将一个类别分配给整个区域内的SSI变化。讨论了分类和特征选择的准确性。 (C)2016作者。由Elsevier Ltd.发布

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