利用长时间序列的卫星观测数据,对南海海域的风、浪场时空分布及其相互关系进行了分析。结果显示,海面风距平场VEOF分解后得到的第一模态具有明显的季节变化,即季风特征,说明季风是影响整个南海风速的主要因素;第二模态具有较强的区域变化特征,是季风转换时期的距平场特征;第三模态反映的是海面风距平场受陆地地形影响所表现的分布特征。有效波高距平场EOF分解后得到的第一模态、第二模态与风距平场的前2个模态的空间分布较为相似,并且,风、浪距平场第一模态间的相关系数达0.76,均说明南海作为边缘海其波浪场与风场变化有很好的相关性。有效波高第三模态的分布与风场的第三模态相关性较弱,反映的是受海底地形影响所表现的分布特征。
Abstract
Based on satellite remote sensing products, the seasonal and interannual variations in the wind and wave over the South China Sea (SCS) were presented in the study. A vector empirical orthogonal function (VEOF) method was employed to study the temporal and spatial patterns of the wind field. Results indicate that the first VEOF is a seasonal oscillation mode, which represents the monsoon feature in the SCS. The second VEOF is an approximate annual oscillation mode, it represents the wind field features during the monsoon transition period. The third VEOF shows that the wind field is the land-sea interaction mode. For SWH, an empirical orthogonal function (EOF) method was employed and the similar two modes are forced by the first two modes of wind data, the third mode is caused by the bottom topography variation. The correlation coefficient (CC) between wind field's first mode and SWH's first mode is 0.76, which shows that the wave variation is forced by the sea surface wind. The two third modes are nearly unconnected, there may be a link between the bottom topography and SWH's third mode.
关键词
南海 /
风场 /
有效波高 /
卫星遥感
Key words
South China Sea /
wind field /
significant wave height /
satellite remote sensing
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参考文献
[1] WITTER D L,CHELTON D B. A geosat altimeter wind speed algorithm development[J]. J Geophys Res,1991,96(C5):8 853-8 860.
[2] QI Yi-quan,SHI Ping,MAO Qing-wen. Relationship and characteristic of the sea surface wind and wave fields over the South China Sea derived from T/P altimeter[J]. Journal of Hydrodynamics, 2003,18(5):619-624.
齐义泉,施平,毛庆文.基于T/P资料分析南海海面风、浪场特征及其关系[J].水动力学研究与进展,2003,18(5):619-624.
[3] ZHAO Xi-xi,HOU Yi-jun,QI Peng. Study on temporal and spatial characteristics of sea surface wind in China seas[J].Chinese High Technology Letters,2007,17(5):523-528.
赵喜喜,侯一筠,齐鹏.中国海海面风场时空变化特征分析[J].高技术通讯,2007,17(5):523-528.
[4] SHEN Chun,JIANG Guo-rong,SHI Wei-lai,et al. Characteristic analysis of the variability of QuikSCAT wind in the South China Sea[J]. Marine Forecasts,2012,29(3):1-8.
沈春,蒋国荣,施伟来,等.南海QuikSCAT海面风场变化特征分析[J].海洋预报,2012,29(3):1-8.
[5] LÜ Ke-wei,HU Jian-yu,YANG Xiao-yi. Spatical patterns in seasonal variability of sea surface wind over the South China Sea and its adjacent ocean[J]. Journal of Tropical Oceanography,2012,31(6):41-47.
吕柯伟,胡建宇,杨小怡.南海及邻近海域海面风场季节性变化的空间差异[J].热带海洋学报,2012,31(6):41-47.
[6] QI Yi-quan, CHU P C,SHI Ping, et al. Analysis of significant wave height from WWATCH and TOPEX/Poseidon Altimetry[J].Acta Oceanologica Sinica,2003,25(4):1-9.
齐义泉,朱伯承,施平,等.WWATCH模式模拟南海海浪场的结果分析[J].海洋学报,2003,25(4):1-9.
[7] CHU P C,CHENG K F. South China Sea wave characteristics during typhoon Muifa passage in winter 2004[J]. Journal of Oceanography,2008,64(1):1-21.
[8] ZHOU Liang-ming,WU Lun-yu,GUO Pei-fang,et al. Simulation and study of wave in South China Sea using WAVEWATCH-III[J]. Journal of Tropical Oceanography,2007,26(5):1-8.
周良明,吴伦宇,郭佩芳,等.应用WAVEWATCH-III模式对南海的波浪场进行数值计算、统计分析和研究[J].热带海洋学报,2007,26(5):1-8.
[9] ZHOU Zhao-li,YANG Xian-yu. Numerical simulation of wave field in South China Sea using WWATCH-III[J]. Journal of Tropical Oceanography,2008,27(2):1-6.
周兆黎,杨显宇.WWATHC-III模式模拟南海冷空气过程海浪场的有效性检验[J].热带海洋学报,2008,27(2):1-6.
[10] ZHENG Chong-wei,LIN Gang,SUN Yan,et al. Simulation of wave energy resources in the South China Sea during the past 22 years[J]. Journal of Tropical Oceanography,2012,31(6):13-19.
郑崇伟,林刚,孙岩,等.近22年南海波浪能资源模拟研究[J].热带海洋学报,2012,31(6):13-19.
[11] MEI Yong,SONG Shui,ZHOU Lin. Annual variation characteristics of wave fields and wind fields over the North Indian Ocean and South China Sea[J].Marine Forecasts,2010,27(5):27-33.
梅勇,宋帅,周林.北印度洋-南海海域海浪场、风场的年际变化特征分析[J].海洋预报,2010,27(5):27-33.
[12] ZHOU Lin,MEI Yong,WANG Hui-juan,et al. Interdecadal variations of sea surface wind and significant wave height in the North Indian Ocean and South China Sea[J]. Transactions of Atmospheric Sciences,2011,34(5):547-554.
周林,梅勇,王慧娟,等.北印度洋-南海海面风速和有效波高的年代际变化[J].大气科学学报,2011,34(5):547-554.
[13] ZHENG Chong-wei,CHEN Zhi-lu,JIA Ben-kai, et al. Characteristics of sea surface wind field and wave field analysis in the China Sea[J]. China Science and Technology Information,2011(10):32-33.
郑崇伟,陈志禄,贾本凯,等.中国海海表风场、风浪、涌浪、混合浪场时空分布特征研究[J].中国科技信息,2011(10):32-33.
[14] LIU Liang-ming,LIU Ting,LIU Jian-qiang,et al. An introduction to satellite oceanic remote sensing[M]. Wuhan:Wuhan University Press,2005:126-130.
刘良明,刘廷,刘建强,等.卫星海洋遥感导论[M]. 武汉:武汉大学出版社,2005:126-130.
[15] CHEN Shang-ji,MA Ji-rui. Analysis methods and application of ocean data[M]. Beijing:Ocean Press,1991:312-320.
陈上及,马继瑞.海洋数据处理分析方法及其应用[M]. 北京:海洋出版社,1991:312-320.
[16] HARDY D M, WALTON J J. Principal components analysis of vector wind measurement[J]. Journal of Applied Meteorology,1978,17(8):1 153-1 162.
[17] QI Yi-quan,SHI Ping,MAO Qing-wen. The satellite remote sensing analysis of seasonal average characteristics of wind field and wave field in South China Sea[J]. China Offshore Platform,1997(3):118-123.
齐义泉,施平,毛庆文.南海海面风场和波浪场季节平均特征的卫星遥感分析[J].中国海洋平台,1997(3):118-123.
基金
国家重点基础研究发展计划项目资助(2012CB417303);全球变化与海气相互作用专项
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