Zhang Chungui, Cai Yiyong, Zhang Jiachun. The application of monitoring sea fog in Taiwan strait using MODIS remote sensing data. J Appl Meteor Sci, 2009, 20(1): 8-16.
Citation: Zhang Chungui, Cai Yiyong, Zhang Jiachun. The application of monitoring sea fog in Taiwan strait using MODIS remote sensing data. J Appl Meteor Sci, 2009, 20(1): 8-16.

The Application of Monitoring Sea Fog in Taiwan Strait Using MODIS Remote Sensing Data

  • Received Date: 2008-02-19
  • Rev Recd Date: 2008-08-26
  • Publish Date: 2009-02-28
  • The sea fog is a frequent severe weather phenomenon, there are many advantages in monitoring the temporal and spatial change of sea fog using remote sensing technology. The visible light channel data and infrared channel data of new MODIS sensors are used to identify and monitor sea fog in Taiwan Strait. Spectrum radiation characteristics of MODIS data on various earth surface, such as ocean, middle-high-level cloud, low-level cloud and sea fog are analyzed, the results show that there are notable spectrum radiation characteristics differences between the sea fog, low-level cloud and ocean, middle-high-level cloud in the Taiwan Strait region.There are also notable spectrum radiation characteristics distinguish in some channels of visible light and middle infrared bands between sea fog and low-level cloud. On the basis of results, the MODIS channels which are sensitive to sea fog are chosen, and the sea fog remote sensing monitoring model in Taiwan Strait region is established by using compositive method, meanwhile the channels combination and digital monitoring indexes which are fit for the sea fog in Taiwan Strait region are validated.The sea fog events in Taiwan Strait region during 2004-2007 are monitored by using the model which has been established, and the sea fog monitoring results are verified and analyzed using the visibility data measured in five meteorological observing stations in Fujian coastal region.The results show that the veracity of sea fog monitoring model is 83.3 % in the mass, and the monitoring model veracity of strong sea fog is better than that of weak sea fog. The monitoring model veracity of night sea fog is relatively low because there are fewer remote sensing channels in the night on MODIS. After the inconsistent samples between remote sensing monitoring and meteorological observing are analyzed, the result shows that the existence of multi-layer cloud has notable influence to the veracity of sea fog. Research result shows:In the view of the sea fog monitoring results which are verified and analyzed between meteorological observing and remote sensing monitoring, the sea fog remote sensing monitoring model in Taiwan Strait region which is established using MODIS data can reasonably describe the distribution status of sea fog, and can dynamically monitor the distribution and developing process of sea fog, the model is very suitable to apply in the future operational work. But because the fog and cloud remote sensing monitoring is very complex, the variety of digital monitoring indexes of sea fog must be noticed in the practical operational work.
  • Fig. 1  The different texture characteristic of sea fog and cloud in MODIS images

    on May 24, 2007 (a) and January 12, 2007(b)

    Fig. 2  The reflect characteristic of different earth surface on MODIS channels

    Fig. 3  The radiation characteristic of different earth surface on MODIS channels

    Fig. 4  The flowchart of sea fog monitoring in Taiwan Strait using MODIS data

    Fig. 5  The images of sea fog monitoring in Taiwan Strait using MODIS data

    Fig. 6  The images of fog MODIS dynamic monitoring in Xiamen sea during February 19-20, 2004

    Table  1  The validation of sea fog MODIS monitoring in Taiwan Strait by meteorology observation data

    Table  2  The statistical results of sea fog monitoring precision in Taiwan Strait using MODIS data (unit:%)

  • [1]
    Gurka J J. Using Satellite Data for Forecasting Fog and Stratus Dissipation. 5th Conference on Weather Forecasting and Analysis, 1974:54-57.
    [2]
    Eyre J R, Brownscombe J L, Allam R J. Detection of fog at night using advanced very high resolution radiometer imagery. Meteorology Magazine, 1 984, 113:266-271. http://cat.inist.fr/?aModele=afficheN&cpsidt=8937699
    [3]
    Ellrod G P. Advances in the detection and analysis of fog at night using GOES multi-spectral infrared imagery. Wea Forecasting, 1995, 10(3):606-619. doi:  10.1175/1520-0434(1995)010<0606:AITDAA>2.0.CO;2
    [4]
    郑新江.黄海海雾的卫星云图特征分析.气象, 1988, 14(6):7-9. http://www.cnki.com.cn/Article/CJFDTOTAL-QXXX198806001.htm
    [5]
    居为民, 孙涵, 张忠义, 等.卫星遥感资料在沪宁高速公路大雾监测中的初步应用.遥感信息, 1997, (3):25-27. http://www.cnki.com.cn/Article/CJFDTOTAL-YGXX199703005.htm
    [6]
    李亚春, 孙涵, 李湘阁, 等.用GMS-5气象卫星资料遥感监测白天雾的研究.南京气象学院学报, 2001, 24(3):343-349. http://www.cnki.com.cn/Article/CJFDTOTAL-NJQX200103006.htm
    [7]
    陈伟, 周红妹, 袁志康, 等.基于气象卫星分形纹理的云雾分离研究.自然灾害学报, 2003, 12(2):133-139. http://www.cnki.com.cn/Article/CJFDTOTAL-ZRZH200302023.htm
    [8]
    孙涵, 孙照渤, 李亚春.雾的气象卫星遥感光谱特征.南京气象学院学报, 2004, 27(3):289-301. http://www.cnki.com.cn/Article/CJFDTOTAL-NJQX200403001.htm
    [9]
    马慧云, 李德仁, 刘良明, 等.基于MODIS卫星数据的平流雾检测研究.武汉大学学报(信息科学版), 2005, 30(2):143-145. http://www.cnki.com.cn/Article/CJFDTOTAL-WHCH20050200B.htm
    [10]
    陈林, 牛生杰, 仲凌志. MODIS监测雾的方法及分析.南京气象学院学报, 2006, 29(4):448-454. http://www.cnki.com.cn/Article/CJFDTOTAL-NJQX200604002.htm
    [11]
    鲍献文, 王鑫, 孙立潭, 等.卫星遥感全天候监测海雾技术与应用.高技术通讯, 2005, 15(1):101-106.
    [12]
    陈千盛.台湾岛和福建沿岸的雾.台湾海峡, 1986, 5(2):101-106. http://www.cnki.com.cn/Article/CJFDTOTAL-TWHX198602000.htm
    [13]
    许金镜.海峡西岸海雾的统计分析.海洋预报, 1990, 7(3):58-63. http://www.cnki.com.cn/Article/CJFDTOTAL-HYYB199003010.htm
    [14]
    苏鸿明.台湾海峡海雾的气候分析.台湾海峡, 1998, 17(1):25-28. http://www.cnki.com.cn/Article/CJFDTOTAL-TWHX199801004.htm
    [15]
    吴滨, 施能, 李玲.福建近45年雾日趋势变化特征及可能影响因素.应用气象学报, 2007, 18(4):497-505. http://qk.cams.cma.gov.cn/jams/ch/reader/view_abstract.aspx?file_no=20070478&flag=1
    [16]
    刘健, 许健民, 方宗义.利用NOAA卫星的AVHRR资料试分析云和雾顶部粒子的尺度特征.应用气象学报, 1999, 10 (1):28-33. http://qk.cams.cma.gov.cn/jams/ch/reader/view_abstract.aspx?file_no=19990132&flag=1
    [17]
    黄玉生, 黄玉仁, 李子华, 等.西双版纳冬季雾的微物理结构及演变过程.气象学报, 2000, 58(6):715-725. http://www.cnki.com.cn/Article/CJFDTOTAL-QXXB200006006.htm
    [18]
    《遥感概论》编写组.遥感概论.北京:高等教育出版社, 1985:10-29.
    [19]
    Strabala K I, Ackerman S A, Menzel W P. Cloud properties inferred from 8-12 mm data. J Appl Meteor, 1994, 33(2):212-229. doi:  10.1175/1520-0450(1994)033<0212:CPIFD>2.0.CO;2
    [20]
    Platnick S, King M D, Ackerman S A, et al. The MODIS cloud products:Algorithms and examples from terra. IEEE Trans Geosci Remote Sensing, 2003, 41:459-473. doi:  10.1109/TGRS.2002.808301
    [21]
    Daniel R, Garik G. Retrieving microphysical properties near the tops of potential rain clouds by multispectral analysis of AVHRR data. Atmos Res, 1994, 34:259-283. doi:  10.1016/0169-8095(94)90096-5
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    • Received : 2008-02-19
    • Accepted : 2008-08-26
    • Published : 2009-02-28

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