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Retrieval of cloud geometrical properties using ADEOS-II/GLI data

机译:使用ADEOS-II / GLI数据检索云几何特性

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It is of great interest to investigate the radiative properties on the cloud optical, microphysical, and geometrical properties of clouds that play crucial role in the climate system. Here, top height, base height, and geometrical thickness of cloud layer are considered as cloud geometrical properties. Several studies show that information of some spectral regions including oxygen A-band, enables us to retrieve the cloud geometrical properties as well as the optical thickness, the effective particle radius of cloud. In this study, an algorithm was developed to retrieve simultaneously the cloud optical thickness, effective particle radius, top height, and geometrical thickness of cloud layer with the spectral information of visible, near infrared, thermal infrared, and oxygen A-band channels. This algorithm was applied to ADEOS-II/GLI dataset so as to retrieve global distribution of cloud geometrical properties. The retrieved results around Japan are not strange and to be validated with other observation in the near future. This study will expand to the global analysis and be anticipated to contribute to the earth climate studies in terms of cloud optical, microphysical, and geometrical properties.
机译:研究在气候系统中起着至关重要的作用的云光学,微神科和几何特性上的云光学,微手术和几何特性非常感兴趣。这里,云层的顶部高度,基部高度和几何厚度被认为是云几何特性。一些研究表明,包括氧气A带的一些光谱区域的信息使我们能够检索云几何特性以及光学厚度,有效颗粒半径。在该研究中,开发了一种算法以同时检索云光学厚度,有效粒径,顶部高度和云层的几何厚度,以及可见的,近红外,热红外和氧气A带通道的光谱信息。该算法应用于ADEOS-II / GLI DataSet,以检索云几何特性的全局分布。日本周围的检索结果并不奇怪,并在不久的将来与其他观察结果验证。本研究将扩大到全局分析,并预计在云光学,微动物和几何特性方面有助于地球气候研究。

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