基于20年卫星遥感资料的黄海、渤海海雾分布季节特征分析

吴晓京; 李三妹; 廖蜜; 曹治强; 王璐; 朱江

doi:10.3969/j.issn.0253-4193.2015.01.007

基于20年卫星遥感资料的黄海、渤海海雾分布季节特征分析

doi: 10.3969/j.issn.0253-4193.2015.01.007

1.
中国科学院大气物理研究所, 北京 100029;中国科学院大学, 北京 100049;国家卫星气象中心, 北京 100081
2.
Department of Geography and Geoinformation Science, George Mason University, Fairfax VA 22030, USA
3.
国家卫星气象中心, 北京 100081
4.
International Pacific Research Center, University of Hawaii at Manoa, Honolulu HI 96822, USA
5.
中国科学院大气物理研究所, 北京 100029

基金项目: 气象行业专项(GYHY200906001);国家高技术研究发展计划(2006AA09Z149);中国气象局小型基建项目。

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出版历程
- 收稿日期: 2013-09-06
- 修回日期: 2013-10-31

Analyses of seasonal feature of sea fog over the Yellow Sea and Bohai Sea based on the recent 20 years of satellite remote sensing data

1.
Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China;University of Chinese Academy of Sciences, Beijing 100049, China;National Satellite Meteorological Center, Beijing 100081, China
2.
Department of Geography and Geoinformation Science, George Mason University, Fairfax VA 22030, U S A
3.
National Satellite Meteorological Center, Beijing 100081, China
4.
International Pacific Research Center, University of Hawaii at Manoa, Honolulu HI 96822, U S A
5.
Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China

摘要

摘要: 目前对海上雾分布的认识多基于沿岸测站和海上船舶、浮标观测,但这些数据非常稀少,且存在代表性和数据质量方面的问题,因此一直缺乏对海雾分布更全面、清晰的了解。卫星遥感数据空间均一、覆盖范围广、质量一致,具有对无云条件下大范围、离岸海雾监测的优势。本文通过分析算法检测出的1989-2008年黄渤海海雾及云的频数、分布百分率信息,得到了黄渤海海雾季节变化的较全面特征。除印证其他资料或研究的结论外,还发现:(1)黄海海雾频数随季节变化的幅度较渤海明显;(2)黄海、渤海海域存在冬季海雾多发时段;(3)海雾生消过程中有覆盖区变化的东传特征;(4)春夏雾季中存在黄海中部和西朝鲜湾两处海雾多发区,其中西朝鲜湾也是全年海雾最多的海域。另外,在样本充足的情况下,通过对检测出的低云、中高云覆盖百分率和海雾频数的分析统计,还能估算出黄海、渤海部分季节20年海雾发生的平均概率。
- 黄渤海 /
- 海雾 /
- 频数 /
- 季节特征 /
- NOAA/AVHRR
Abstract: Our current knowledge of the sea fog distribution are mostly obtained from the coastal weather stations,ships,and buoys observational data. However these data are limited in spatial distribution,quality control and representativeness. Thus we are lack of a comprehensive understanding of the distribution of sea fog. Satellite data are known as uniform spacial distribution,wide coverage and relatively consistent quality. Under cloudless conditions,satellite data have the advantages of monitoring large-scale,offshore sea fog. Base on the frequency of fog and cloud together with the percentage distribution,we obtained comprehensive seasonal variation characteristics of the fog in the Yellow Sea and Bohai Sea from 1989 to 2008 . Besides the conclusions confirms those found in the literature,this work also revealed the following facts: (1) The seasonal variation in fog frequency of the Yellow Sea is more significant than that in the Bohai sea. (2) The fog in the Bohai Sea and the Yellow Sea occur more frequently than expected in winter. (3) In the course of sea fog formation and dissipation,there are the phenomena of eastward propagation of sea fog coverage. (4) In the spring and summer fog season,there are two sea fog-prone areas,located in the middle of Yellow Sea and the West Korea Bay respectively. And the annual maximum fog occurrence is in the West Korea Bay. Furthermore,in the case of sufficient sample population,based on the statistical analysis of the frequency of clouds and sea fog,the datasets generated by the algorithm can be used to estimate the average probability of the fog occurrence in the Yellow Sea and Bohai Sea for the next 20 years.
- Yellow Sea /
- sea fog /
- frequency /
- seasonal characteristics /
- NOAA/AVHRR

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参考文献(30)

Lewis J M, Kora正in D, Redmond K T. Sea Fog Research in the United Kingdom and United States: A Historical Essay Including Outlook[J]. Bulletin of the American Meteorological Society, 2004, 85(3): 395-408.

黄彬, 毛冬艳, 康志明, 等. 黄海海雾天气气候特征及其成因分析[J]. 热带气象学报, 2011, 27(6): 920-931. Huang Bin, Mao Dongyan, Kang Zhiming, et al. Synoptic and climatic characteristics of Yellow Sea fog and causation analysis[J]. Journal of Tropical Meteorology, 2011, 27(6): 920-931.

吴兑, 吴晓京, 李菲, 等. 中国大陆1951-2005年雾与轻雾的长期变化[J]. 热带气象学报, 2011, 27(2):145-151. Wu Dui,Wu Xiaojing,Li Fei,et al. Long-team variation of fog and mist in 1951-2005 in Mainland China[J]. Journal of Tropical Meteorology, 2011, 27(2):681-688.

Zhang S, Yi L. A comprehensive dynamic threshold algorithm for daytime sea fog retrieval over the Chinese adjacent seas[J]. Pure and Applied Geophysics, 2013: 1-14.

王绪翔, 邵利民, 曹祥村. 黄海西部2005—2007年海雾演变的气候特征研究[J]. 海洋预报, 2012, 29(3):62-69. Wang Xuxiang, Shao Limin, Chao Xiangcun. Climatic characteristics study of the sea fog evolution in the western Yellow Sea from 2005 to 2007[J]. Marine Forecasts, 2012, 29(3): 62-68.

韩美,张苏平,尹跃进,等. 黄东海大气边界层高度季节变化特征及其成因[J]. 中国海洋大学学报(自然科学版), 2012, 42(增刊): 34-44. Han Mei, Zhang Suping, Yin Yuejin, et al. The seasonal variation and causation of atmospheric boundary layer height at Yellow-East Sea[J]. Periodical of Ocean Unversity of China,2012, 42(sup): 34-44.

Hunt G E. Radiative properties of terrestrial clouds at visible and infra-red thermal window wavelengths[J]. Quarterly Journal of the Royal Meteorological Society, 1973, 99(420): 346-369.

Gurka J J. Using satellite data for forecasting fog and stratus dissipation[C]//Proceedings of the Conference on Weather Forecasting and Analysis, 5 th, St Louis, Mo, 1974.

Eyre J, Brownscombe J, Allam R. Detection of fog at night using Advanced Very High Resolution Radiometer (AVHRR) imagery[J]. Meteorological Magazine, 1984, 113(1346): 266-271.

Bendix J, Thies B, Cermak J, et al. Ground fog detection from space based on MODIS daytime data——a feasibility study[J]. Weather and forecasting, 2005, 20(6): 989-1005.

Ma Huiyun, Wu Xiaojing, Zou Bin, et al. Algorithm for daytime radiation fog detection based on MODIS/TERRA data over land[J]. Journal of Applied Remote Sensing, 2012, 6(1): 063589.

吴晓京, 陈云浩, 李三妹. 应用MODIS数据对新疆北部大雾地面能见度和微物理参数的反演[J]. 遥感学报, 2005, 9(6): 688-696. Wu Xiaojing Cheng Yunhao,Li Sanmei. Utilizing MODIS data to retrieve the visibility and microphysical properties of fog happens in the northwest China[J]. Journal of Remote Sensing, 2005, 9(6): 688-696.

郝增周, 潘德炉, 龚芳, 等. 海雾的遥感光学辐射特性[J]. 光学学报, 2008, 28(12): 2420-2426. Hao Zengzhou,Pan Delu,Gong Fang,et al. Optical radiance characteristics of sea fog based on remote sensing[J]. Acta Optica Sinica, 2008, 28(12): 2420-2426.

Ahn M H, Sohn E H, Hwang B J. A new algorithm for sea fog/stratus detection using GMS-5 IR data[J]. Advances in Atmospheric Sciences, 2003, 20(6): 899-913.

Gao Shanhong,Wu Wei,Zhu Leilei,et al. Detection of nighttime sea fog/stratus over the Huanghai Sea using MTSAT-1R IR data. Acta Oceanologica Sinica, 2009. 28(2):23－35.

Wu Xiaojing, Li Sanmei. Automatic sea fog detection over Chinese adjacent oceans using Terra/MODIS data[J]. International Journal of Remote Sensing, 2014, 35(21): 7430-7457.

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[J]. 高技术通讯, 2005, 15(1): 101-106. Bao Xianwen, Wang Xin, Sun Litan, et al. The weather proof detection system of sea fog by remote sensing and its applications[J]. Chinese High Technology Letters, 2005, 15(1): 101-106.

Bendix J. A satellite-based climatology of fog and low-level stratus in Germany and adjacent areas[J]. Atmospheric Research, 2002, 64(1): 3-18.

吴晓京, 张苏平. 大雾消散卫星遥感临近预报及消散型分类——我国中东部案例研究[J]. 自然灾害学报, 2008, 17(6):135-139. Wu Xiaojing,Zhang Supin. Imminent forecast of fog dissipation using satellite remote sensing and its dissipation type:a case study of middle-east China[J]. Journal of Natural Disasters, 2008, 17(6): 135-139.

江敦双, 张苏平, 陆惟松. 青岛海雾的气候特征和预测研究[J]. 海洋湖沼通报, 2008(3):7-12. Jiang Dunshuang, Zhang Suping, Lu Weisong. The climatic characteristics and forecast study of the sea fog in Qingdao[J]. Transactions of Oceanology and Limnology, 2008(3):7-12.

Cermak J, Bendix J. A novel approach to fog/low stratus detection using Meteosat 8 data[J]. Atmospheric Research, 2008, 87(3/4): 279-292.

Calvert C,Pavolonis M. GOES-R Advanced Baseline Imager(ABI) Algorithm Theoretical Basis Document For Low Cloud and Fog[S]. NOAA NESDIS STAR,2010: 69-70.

Heidinger A. CLAVR-x Cloud Mask Algorithm Theoretical Basis Document (ATBD)[M]. Washington D C:NOAA/NESDIS/Office of Research and Applications, 2004.

吴晓京, 张苏平, 李三妹, 等. 极轨气象卫星遥感白天和夜间海雾的检测方法, CN101452078[OL].[2008-12-30]. http://d.g.wanfangdata.com.cn/Patent_CN200810249748.X.aspx. Wu Xiaojing,Zhang Suping, Li Sanmei, et al. The method of sea fog detection using polar-orbiting meteorological satellite data, CN101452078[OL].[2008-12-30]. http://d.g.wanfangdata.com.cn/Patent_CN200810249748.X.aspx.

丁做尉, 张苏平, 白慧, 等. 黄海雾季开始日期的确定及其年际变化[J]. 中国海洋大学学报(自然科学版), 2011, 41(4): 11-18. Ding Zuowei,Zhang Suping,Bai Hui,et al. Identification of the beginning of the sea fog season over Yellow Sea and its annual variation[J]. Periodical of Ocean Unversity of China, 2011, 41(4): 11-18.

张苏平, 鲍献文. 近十年中国海雾研究进展[J]. 中国海洋大学学报(自然科学版), 2008, 38(3): 359-366. Zhang Suping,Bao Xianwen. The main advances in sea fog research in China [J]. Periodical of Ocean Unversity of China, 2008, 38(3):359-366.

王彬华. 海雾[M]. 北京:海洋出版社, 1983. Wang Binhua. Sea Fog[M]. Beijing: China Ocean Press,1983.

Zhang S P, Xie S P, Liu Q Y, et al. Seasonal variations of Yellow Sea fog: observations and mechanisms[J]. Journal of Climate, 2009, 22(24): 6758-6772.

杨伟波, 张苏平, 薛德强. 2010年2月一次冬季黄海海雾的成因分析[J]. 中国海洋大学学报(自然科学版), 2012, 42(4): 1-10. Yang Weibo, Zhang Suping, Xue Deqiang. The mechanism of winter sea fog over Yellow Sea in February, 2010[J]. Periodical of Ocean Unversity of China, 2012, 42(4): 1-10.

Cho Y K, Kim M O, Kim B C. Sea fog around the Korean Peninsula[J]. Journal of Applied Meteorology, 2000, 39(12): 2473-2479.

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