首页 > 论文 > 大气与环境光学学报 > 8卷 > 1期(pp:46-52)

利用星载激光雷达研究中国海及其周边海域的云层分布

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

  • 摘要
  • 论文信息
  • 参考文献
  • 被引情况
  • PDF全文
分享:

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20N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。

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 20N. 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.

Newport宣传-MKS新实验室计划
补充资料

中图分类号:TN959.4

DOI:10.3969/j.issn.1673-6141.2013.01.006

所属栏目:光学遥感

基金项目:国家自然科学基金项目(41076116, 40876017)资助

收稿日期:2012-05-21

修改稿日期:2012-08-24

网络出版日期:--

作者单位    点击查看

魏书晓: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
吴东: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

联系人作者:魏书晓(weishuxiao1987@163.com)

备注: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。

【1】Warren S G, Hahn C J, London J. Simultaneous occurrence of different cloud types [J]. Clim. Appl. Meteorol., 1985, 24(7): 658-667.

【2】Wu D, Hu Y, Mccormick M P, et al. Global cloud layer distribution statistics from one year’s CALIPSO lidar observations [J]. Int. J. Remote Sens., 2011, 32(5): 1269-1288.

【3】Qie Xiushu, Lü Daren, Chen Hongbin, et al. Advances in high technology of atmospheric sounding and application researches [J]. Chinese Journal of Atmospheric Sciences, 2008, 32(4): 867-881(in Chinese).
郄秀书, 吕达仁, 陈洪滨, 等.大气探测高技术及应用研究进展 [J].大气科学, 2008, 32(4): 867-881.

【4】Li Jiming, Huang Jianping, Yi Yuhong, et al. Analysis of vertical distribution of cloud in east Asia by space-based lidar data [J]. Chinese Journal of Atmospheric Sciences, 2009, 33(4): 1-10(in Chinese).
李积明, 黄建平, 衣育红, 等. 利用星载激光雷达资料研究东亚地区云垂直分布的统计特征[J]. 大气科学, 2009, 33(4): 1-10.

【5】Han M, Braun S, Olson W S, et al. Application of TRMM PR and TMI measurements to assess cloud microphysical schemes in the MM5 for a winter storm [J]. Appl. Meteor. Climatol., 2010, 49(6): 1129-1148.

【6】Liu Qi, Fu Yunfei, Feng Sha. Geographical patterns of the cloud amount derived from the ISCCP and their correlation with the NCEP reanalysis datasets [J]. Acta Meteorologica Sinica, 2010, 68(5): 689-704(in Chinese).
刘 奇, 傅云飞, 冯 沙. 基于ISCCP观测的云量全球分布及其在NCEP再分析场中的指示[J]. 气象学报, 2010, 68(5): 689-704.

【7】Li Y, Yu R, Xu Y, et al. Spatial distribution and seasonal variation of cloud over china based on ISCCP data and surface observations [J]. Meteor. Soc. Japan, 2004, 82(2): 761-773.

【8】Breon F M, Brien D M, Spinhirne J D. Scattering layer statistics from space borne GLAS observations [J]. Geophys. Res. Lett., 2005, 32(22): L22802.1-L22802.4.

【9】Berthier S, Chazette P, Pelon J, et al. Comparison of cloud statistics from spaceborne lidar systems [J]. Atmos. Chem. Phys., 2008, 8(2): 5269-5304.

【10】Wu Dong, Jia Jia. Global penetrability statistics of CALIPSO over ocean laser samples [J]. Journal of Atmospheric and Environmentao Optics, 2011, 6(4): 252-259(in Chinese).
吴 东, 贾 佳. CALIPSO星载激光在全球海洋上空的穿透性统计 [J]. 大气与环境光学学报, 2011, 6(4): 252-259.

【11】Wu D L, Ackerman S A, Davies R, et al. Vertical distributions and relationships of cloud occurrence frequency as observed by MISR, AIRS, MODIS, OMI, CALIPSO, and CloudSat [J]. Geophys. Res. Lett., 2009, 36(9): L09821.1-L09821.5.

【12】Ackerman S A, Strabala K I, Menzel W P, et al. Discriminating clear-sky from clouds with MODIS [J]. Geophys. Res., 1998, 103(32): 141-158.

【13】Zhou Zhuhua, Bai Jie, Liu Jianwen, et al. The cloud phase analysis of typhoon “NOGURI” using EOS/MODIS data [J]. Journal of the Meteorological Sciences, 2006, 26(5): 494-501(in Chinese). 6周著华, 白 洁, 刘健文, 等. 基于EOS/MODIS的台风“浣熊”云顶相态分析 [J]. 气象科学, 2006, 26(5): 494-501.

【14】Roskovensky J K, Liou K N. Differentiating airborne dust from cirrus clouds using MODIS data [J]. Geophys. Res. Lett., 2005, 32(12): L12809.1-L12809.5.

【15】Wang Shuaihui, Han Zhigang, Yao Zhigang, et al. Analysis on cloud vertical structure over China and its neighborhood based on cloudsat Data [J]. Plateau Meteorology, 2011, 30(1): 38-52 (in Chinese).
王帅辉, 韩志刚, 姚志刚, 等. 基于Cloudsat资料的中国及周边地区云垂直结构统计分析 [J].高原气象, 2010, 30(1): 38-52.

引用该论文

WEI Shu-xiao,WU Dong. Cloud Distribution over China Sea and Adjacent Sea Area by CALIPSO Lidar Observations[J]. Journal of Atmospheric and Environmental Optics, 2013, 8(1): 46-52

魏书晓,吴东. 利用星载激光雷达研究中国海及其周边海域的云层分布[J]. 大气与环境光学学报, 2013, 8(1): 46-52

被引情况

【1】晏怀斌,吴东. 北半球冬季和夏季CALIOP瞬态响应差异性. 大气与环境光学学报, 2014, 9(4): 295-299

您的浏览器不支持PDF插件,请使用最新的(Chrome/Fire Fox等)浏览器.或者您还可以点击此处下载该论文PDF