基于多源卫星数据的云底高度反演算法在中国近海的应用研究
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  • 英文篇名:Application of cloud base height inversion algorithm based on multi-satellite observation results in China offshore waters
  • 作者:朱晓蕾 ; 钱越英 ; 严卫 ; 李冠林 ; 安豪
  • 英文作者:ZHU Xiaolei;QIAN Yueying;YAN Wei;LI Guanlin;AN Hao;Beijing Institute of Applied Meteorology;College of Meteorology and Oceanography, National University of Defence Technology;Beijing Institute of Aeronautical Meteorology;
  • 关键词:CloudSat ; MODIS ; 云底高度 ; 反演算法 ; 暖云
  • 英文关键词:CloudSat;;MODIS;;CBH;;inversion algorithm;;warm cloud
  • 中文刊名:气象科学
  • 英文刊名:Journal of the Meteorological Sciences
  • 机构:北京应用气象研究所;国防科技大学气象海洋学院;北京航空气象研究所;
  • 出版日期:2019-08-15
  • 出版单位:气象科学
  • 年:2019
  • 期:04
  • 基金:国家自然科学基金项目(41805026)
  • 语种:中文;
  • 页:45-54
  • 页数:10
  • CN:32-1243/P
  • ISSN:1009-0827
  • 分类号:P407
摘要
本文利用直减率反演云底高度的计算方法,联合星载主、被动探测资料开展了中国东海、南海上空暖云云底高度反演研究,同时对暖云的分布特征进行了统计。结果表明受大气层结稳定程度影响,夜间的反演效果优于白天。两种资料的云顶高度较一致时,反演效果好,该方法具有可行性。
        The retrieving Cloud Base Height(CBH) constantly at a large scale is of great significance and practical value. Based on both active and passive detection data from the A-Train satellite constellation, this paper discussed the results of warm cloud CBH over the region of the East China Sea and South China Sea with a method of retrieval cloud base height based on calculated lapse rate and the distribution and characteristics of warm cloud. The results show that the accuracy of retrieval during nighttime is better than that of the daytime due to stability of atmosphere. The differences of CBH of active and passive detection data are small, the retrieval results match well with CBH product. Therefore, the method is feasible.
引文
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