云相态的卫星遥感研究进展

云相态不仅是气象学和气候学研究的重要参量,也是卫星云参数反演的关键要素,其识别的准确性直接关系到光学厚度、有效粒子半径等光学和微物理参数的反演精度.卫星遥感技术的发展为云相态的识别提供了前所未有的技术手段.对能够提取云相态信息的主要星载遥感源进行了介绍,重点总结了近30年来国内外利用星载被动光学遥感资料、偏振辐射资料以及主动雷达资料进行云相态反演的基本原理、方法以及技术特点,最后针对目前云相态反演工作中存在的一些问题和发展趋势进行了探讨.

Advances in the Study of Cloud Phase Discrimination Using Satellite Remote Sensing Data

Cloud phase is not only a key meteorological and climatological variable, but also an important research content about cloud physics parameter retrieving using satellite remote sensing data, and its determination is also a necessary step in the retrieval of cloud particle size, optical thickness and other cloud microphysics parameters. The development of satellite remote sensing technology provides an unprecedented method for cloud phase discrimination research. This paper introduces the main sources of satellite remote sensors which can detect cloud phase information. It summaizes the physical principles and discrimination methods based on spaceborne passive optics and polarized radiance and active radar remote sensing data particularly. At last, Advantages and disadvantages of different satellite remote sensor also have been given and the prospects have been discussed for future cloud phase discrimination work which will be good for cloud physics parameter retrieving research.