A Study of Cloud Classification in the Northwestern Pacific by Using FY-2C Data

Acta Scientiarum Naturalium Universitatis Pekinensis

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A Study of Cloud Classification in the Northwestern Pacific by Using FY-2C Data

YIN Yue¹， LI Wanbiao¹， YAO Zhanyu²， KIM Won-guk³

1. Department of Atmospheric Sciences, School of Physics, Peking University, Beijing 100871； 2. Key Laboratory for Cloud Physics and Weather Modification of CMA, Chinese Academy of Meteorological Sciences, Beijing 100081； 3. Department of Earth Environmental Sciences，Kim Il-sung University，Pyongyang；， E-mail： lwb@pku.edu.cn

Received:2008-03-21 Online:2009-03-20 Published:2009-03-20

利用FY-2C资料对西北太平洋海域云分类的研究

尹跃¹,李万彪¹,姚展予²,金元国³

1.北京大学物理学院大气科学系，北京100871；2.中国气象科学研究院中国气象局云雾物理重点开放实验室，北京100081；3.金日成综合大学地球环境科学系，平壤；，E-mail：lwb@pku.edu.cn

Abstract

Abstract: The tests of navigation are carried out using 31 FY-2C images in Aug. 2006, The result shows that the navigation error is less than 0.13 scan line, which is good enough for cloud classification analysis. Two methods of cloud classification (nephanalysis and cluster analysis) are presented and the classifying distributions are compared with the FY-2C NOM cloud product. Cloud categories obtained in nephanalysis are more than FY-2C NOM cloud product, and middle/low clouds are recognized well by nephanalysis. The results by cluster analysis are better than NOM cloud product, and cloud distribution are more realistic.

Key words: FY-2C, navigation, nephanalysis, cluster analysis

摘要： 使用2006年8月的31次FY-2C卫星资料进行地理定位研究，发现定位误差小于0.13条扫描线，此精度满足云分类研究需求；在此基础上，使用云分析法和聚类分析法对云进行分类试验，分类结果与FY-2C业务云产品进行对比。结果表明，云分析法确定的云型比业务云产品类型多，并对中低云有很好的识别；而聚类分析结果要优于业务云产品分类结果，在云分布细节上接近实际情况。

关键词: FY-2C, 定位, 云分析法, 聚类分析

CLC Number:

P404

YIN Yue,LI Wanbiao,YAO Zhanyu,KIM Won-guk. A Study of Cloud Classification in the Northwestern Pacific by Using FY-2C Data[J]. Acta Scientiarum Naturalium Universitatis Pekinensis.

尹跃,李万彪,姚展予,金元国. 利用FY-2C资料对西北太平洋海域云分类的研究[J]. 北京大学学报（自然科学版）.

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A Study of Cloud Classification in the Northwestern Pacific by Using FY-2C Data

利用FY-2C资料对西北太平洋海域云分类的研究

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