大气与环境光学学报 ›› 2013, Vol. 8 ›› Issue (1): 46-52.

• 光学遥感与图像处理 • 上一篇    下一篇

利用星载激光雷达研究中国海及其周边海域的云层分布

魏书晓,吴东   

  1. (中国海洋大学信息科学与工程学院海洋技术系, 山东 青岛266100)
  • 出版日期:2013-01-28 发布日期:2013-01-07
  • 通讯作者: 魏书晓(1987-),男,山东临沂人,研究生,主要从事海洋光学与激光遥感方面的研究。 E-mail:weishuxiao1987@163.com
  • 作者简介:魏书晓(1987-),男,山东临沂人,研究生,主要从事海洋光学与激光遥感方面的研究。
  • 基金资助:

    国家自然科学基金(41076116, 40876017)资助

Cloud Distribution over China Sea and Adjacent Sea Area by CALIPSO Lidar Observations

WEI Shu-xiao, WU Dong   

  1. (Department of Marine Technology, College of Information Science and Engineering, Ocean University of China, Qingdao 266100, China)
  • Published:2013-01-28 Online:2013-01-07

摘要:

利用2007~2010年4年间的CALIPSO 5 km二级云数据对中国海及其周边海域层数不同的云的出现概率(COF)随年度、月份和区域的变化进行了统计分析,并将2007年、2008年的部分统计结果与MODIS数据的统计结果相比较。结果表明:在研究区域,不同年份的层数相同的云的出现概率差别小于3%,且不同年份的出现概率区域分布相近,在靠近赤道的海域高于80%,在20°N附近海域低于50%,这与MODIS数据的统计结果相一致;同一年不同月份的出现概率差异明显,但是4年都是在6、7月出现最大值,层数相同的云的出现概率随纬度变化而明显变化。

关键词: 遥感, 星载激光雷达, 云层分布

Abstract:

The distribution statistics of cloud layers over China Sea and adjacent sea area are derived from 4-year CALIPSO 5 km level 2 version 3 lidar cloud layer data from 2007 to 2010. The changes of cloud occurrence frequencies by year, month and geographic location are analyzed. The statistics of cloud occurrence frequency from 2007 to 2008 MODIS data are used for the comparison. The results show that, in the research area, the differences of cloud occurrence frequencies are less than 3% for clouds with same number of layers in different years, and the regional distributions of cloud occurrence frequencies of different years are similar. Cloud occurrence frequencies are higher than 80% near the equator and less than 50% close to 20°N. The statistical results are consistent with MODIS data. Cloud occurrence frequency has obvious differences for different months within the same year and the maximums of 4 years are all in June or July respectively. The changes of cloud occurrence frequency with latitude are obviously for the clouds with same layer number within the same year.

Key words: remote sensing, CALIPSO lidar, cloud distribution

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