| 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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| 引用本文： | 朱晓蕾,钱越英,严卫,李冠林,安豪.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[J].气象科学,2019,39(4):467-476. |
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| 作者姓名： | 朱晓蕾 钱越英 严卫 李冠林 安豪 |
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| 作者单位： | 北京应用气象研究所, 北京 100029,北京应用气象研究所, 北京 100029,国防科技大学 气象海洋学院, 南京 211101,北京航空气象研究所, 北京 100085,北京应用气象研究所, 北京 100029 |
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| 基金项目： | 国家自然科学基金项目（41805026） |
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| 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。
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| 关 键 词： | CloudSat MODIS 云底高度 反演算法 暖云 |
| 收稿时间： | 2015/9/22 0:00:00 |
| 修稿时间： | 2018/7/20 0:00:00 |
Application of cloud base height inversion algorithm based on multi-satellite observation results in China offshore waters |
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| ZHU Xiaolei,QIAN Yueying,YAN Wei,LI Guanlin and AN Hao.Application of cloud base height inversion algorithm based on multi-satellite observation results in China offshore waters[J].Scientia Meteorologica Sinica,2019,39(4):467-476. |
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| Authors: | ZHU Xiaolei QIAN Yueying YAN Wei LI Guanlin and AN Hao |
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| Institution: | Beijing Institute of Applied Meteorology, Beijing 100029, China,Beijing Institute of Applied Meteorology, Beijing 100029, China,College of Meteorology and Oceanography, National University of Defence Technology, Nanjing 211101, China,Beijing Institute of Aeronautical Meteorology, Beijing 100085, China and Beijing Institute of Applied Meteorology, Beijing 100029, China |
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| Abstract: | 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. |
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| Keywords: | CloudSat MODIS CBH inversion algorithm warm cloud |
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