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一次锋面气旋云系中强对流云团的识别

朱亚平 程周杰 刘健文

朱亚平, 程周杰, 刘健文. 一次锋面气旋云系中强对流云团的识别. 应用气象学报, 2009, 20(4): 428-436..
引用本文: 朱亚平, 程周杰, 刘健文. 一次锋面气旋云系中强对流云团的识别. 应用气象学报, 2009, 20(4): 428-436.
Zhu Yaping, Cheng Zhoujie, Liu Jianwen. Detection and analysis on deep convective clouds in a frontal cyclone using multispectral remote sensing data. J Appl Meteor Sci, 2009, 20(4): 428-436.
Citation: Zhu Yaping, Cheng Zhoujie, Liu Jianwen. Detection and analysis on deep convective clouds in a frontal cyclone using multispectral remote sensing data. J Appl Meteor Sci, 2009, 20(4): 428-436.

一次锋面气旋云系中强对流云团的识别

资助项目: 

国家自然科学基金项目 40805012

中国博士后科学基金 20070420577

Detection and Analysis on Deep Convective Clouds in a Frontal Cyclone Using Multispectral Remote Sensing Data

  • 摘要: 利用NOAA-16/AMSU-B微波亮温资料和GOES-9光学遥感资料对2004年6月16日一次锋面气旋云系中的强对流云团进行识别, 尝试了NOAA-16/AM SU-B微波两窗区通道亮温、3个微波水汽通道间亮温差, GOES-9红外亮温阈值、水汽和红外通道亮温差、红外和水汽通道亮温多光谱逐个修改聚类等方法, 通过比较各种方法的识别结果, 分析各种识别技术的特点, 同时采用地面常规观测资料进行叠加, 对识别方法进行了验证。结果表明:微波对强对流云团均能较好识别, 但89 GHz通道亮温受地表影响较大, 不能很好剔除过冷水体, 150 GHz通道亮温与微波水汽通道间亮温差的识别结果较一致, 3个微波水汽通道间亮温差对阈值的依赖性相对较小; GOES-9红外亮温阈值因其随时空变化对识别结果会造成较大差别, 而水汽和红外通道亮温差对强对流云团能进行较好定位, 但识别范围较小, 多光谱逐个修改聚类方法对积雨云的识别效果较好, 且和NOAA-16/AMSU-B识别结果有较好的对应关系; 地面常规观测资料的叠加结果也说明, 多波段遥感资料对强对流云团的识别结果与当时的天气现象及积雨云状均有较好的对应关系。
  • 图  1  2004年6月16日06:25 GO ES-9红外通道 (10.7 μm) 卫星图像

    Fig. 1  GOES-9 infrared (10.7 μm) image at 06:25 16 June 2004

    图  2  2004年6月16日06:29 NOAA16/AMSUB各通道微波亮温(单位:K)

    (a)89GHz,(b)150GHz,(c)183.3±1GHz,(d)183.3±3GHz,(e)183.3±7GHz

    Fig. 2  NOAA16/AMSUB microwave brightness temperature images at 06:29 16 June 2004 (unit: K)

    (a)89GHz, (b)150GHz, (c)183.3±1GHz,(d)183.3±3GHz, (e)183.3±7GHz

    图  3  微波两窗区通道亮温阈值及3个水汽通道间亮温差识别结果

    (a)TB89<240K,(b)TB150<220K,(c)ΔT17≥0K,ΔT13≥0K,ΔT37≥0K

    Fig. 3  Identification results based on NOAA16/AMSUB brightness temperatures and brightness temperature differences

    (a) TB89 < 240K, (b) TB150 < 220K, (c) ΔT17≥0K, ΔT13≥0K, ΔT37≥0K

    图  4  GOES-9不同亮温阈值、水汽和红外通道亮温差及多光谱逐个修改聚类识别结果 (a)233.15 K, (b)230.15 K, (c)215.15 K, (d)208.15 K, (e) T B6.7-10.7 >0 K, (f) 红外/水汽多光谱云型识别结果

    Fig. 4  Identification results based on GOES-9 brightness temperatures thresholds, brightness temperature differences and step-wise classification (a)233.15 K, (b)230.15 K, (c)215.15 K, (d)208.15 K, (e) T B6.7-10.7 >0 K, (f) step-wise classification of IR and WV spectral features

    图  5  地面常规观测资料叠加结果

    Fig. 5  Results matching conventional data

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出版历程
  • 收稿日期:  2008-04-11
  • 修回日期:  2009-05-14
  • 刊出日期:  2009-08-31

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