Analysis of temporal and spatial feature of sea surface wind field in China offshore

doi:10.3969/j.issn.1001-909X.2014.01.001

Abstract

Abstract: Four seasonal average sea surface wind field of China offshore was obtained through ERA-Interim data from ECMWF(European Centre for Medium-Range Weather Forecasts), so that the feature of seasonal wind field variation of China offshore was figured. The result shows that China offshore is a typical East Asian monsoon region where northerly monsoon is in vogue in winter and southerly monsoon is in vogue in summer. Then the feature of China offshore's sea surface wind field anomalies was analyzed with the method of empirical orthogonal function (EOF). The merging data of multiple satellites utilized in this study is from NCDC(National Climatic Data Center), which has been collected since Sept. 1987. Some results can be obtained by analyzing 313 monthly average data. The first mode of China offshore's sea surface wind field anomalies makes contribution to 63.94% of the total variance. This mode shows the seasonal variations of China offshore, which means that the type of feature is winter-summer monsoon oscillation. The second mode makes contribution to 12.35% of the total variance, which reflects the feature of sea surface wind field during the transition period of winter monsoon and summer monsoon, so it shows the type of spring-autumn oscillation. The third mode, contributed to 3.49% of the total variance, which shows fluctuation with an approximative period of half-year, reflects intraseasonal variation of sea surface wind field variation.

Key words: China offshore, multiple satellites, sea surface wind field, EOF

CLC Number:

P732

CHEN Xin-yi, HAO Zeng-zhou, PAN De-lu, HUANG Si-xun, GONG Fang, SHI Dong-sheng. Analysis of temporal and spatial feature of sea surface wind field in China offshore[J]. Journal of Marine Sciences, 2014, 32(1): 1-10.

References

[1] REN Yong-zheng. Study on retrieval algorithms of sea surface wind fields and sea surface current fields from TerraSAR-X images[D].Qingdao:Ocean University of China,2009.
任永政.从卫星TerraSAR-X图像反演海面风场和海表流场方法研究[D].青岛:中国海洋大学,2009.
[2] CHEN Mei-chun. An approach to ocean surface wind retrieval based on atlas properties[D].Guangzhou:Zhongshan University,2007.
陈媚春.基于信息图谱的SeaWinds散射计海面风场反演研究[D].广州:中山大学,2007.
[3] ZHONG Jian, HUANG Si-xun,ZHANG Liang. Research on the development of surface wind retrieval from microwave scatterometer[J]. Scientia Meteorologica Sinica,2010,30(1):137-142.
钟剑,黄思训,张亮.星载微波散射计资料反演海面风场进展研究[J].气象科学,2010,30(1):137-142.
[4] ZHANG Liang,HUANG Si-xun,LIU Yu-di,et al. Variational assimilation combined with generalized variational optimization analysis for sea surface wind retrieval from microwave scatterometer data[J].Acta Phys Sin,2010,59(4):2 889-2 897.
张亮,黄思训,刘宇迪,等.变分同化结合广义变分最佳分析对微波散射计资料进行海面风场反演[J].物理学报,2010,59(4):2 889-2 897.
[5] JIANG Zhu-hui,HUANG Si-xun,DU Hua-dong, et al. A new approach to adjusting sea surface wind using altimeter wind data by variational regularization method[J].Acta Physica Sinica,2010,59(12):8 968-8 977.
姜祝辉,黄思训,杜华栋,等.利用变分结合正则化方法对高度计风速资料调整海面风场的研究[J].物理学报,2010,59(12):8 968-8 977.
[6] QI Yi-quan,SHI Ping,MAO Qing-wen,et al. 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,等.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.
[7] ZHAO Xi-xi,HOU Yi-jun,QI Peng. Study on temporal and spatial characteristics of sea surface wind in China seas[J]. China 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.
[8] ZHENG Chong-wei. Sea surface wind field analysis in the China sea during the last 22 years with CCMP wind field[J]. Meteorology and Disaster Reduction Research,2011,34(3):41-46.
郑崇伟.基于CCMP风场的近22年中国海海表风场特征分析[J].气象与减灾研究,2011,34(3):41-46.
[9] 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.
[10] ZHANG Huai-ming, REYNOLDS R W, BATES J J. Blended and gridded high resolution global sea surface winds from multiple satellites:1987-present[R]//14th Conference on Satellite Meteorology and Oceanography.NOAA NESDIS National Climatic Data Center,2006.
[11] ZHANG Huai-ming, BATES J J, REYNOLDS R W. Assessment of composite global sampling: Sea surface wind speed[J]. Geophys Res Lett,2006,33:L17714, doi:10.1029/2006GL027086.
[12] HARDY D M ,WALTON J J. Principal components analysis of vector wind measurement[J]. Journal of Applied Meteorology,1978,17:1 153-1 162.
[13] ZHANG De-tian,ZHENG Chong-wei,SHI Ling-lin,et al. Sea surface wind field analyze from 1999 to 2009 in the China Sea by QuikSCAT/NCEP data[J]. Marine Forecasts,2009,28(4):58-64.
张德天,郑崇伟,石岭琳,等.基于QuikSCAT/NCEP风场的1999-2009年中国海表风场研究[J].海洋预报,2009,28(4):58-64.
[14] LÜ Ke-wei,HU Jian-yu,YANG Xiao-yi. Spatial 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.
[15] YANG Liang. Temporal and spatial characteristics analysis of sea surface wind on the Northwest Pacific based on remote sensing data[D].Qingdao: The First Institute of Oceanography,2007.
杨亮.基于遥感数据的西北太平洋海面风场时空特征分析[D].青岛:国家海洋局第一海洋研究所,2007.
[16] SUN Long,YU Hua-ming,WANG Peng,et al. Analysis of the seasonal and interannual variability of sea surface wind in the East China Seas and its adjacent ocean[J]. Marine Forecasts,2012,27(2):30-37.
孙龙,于华明,王朋,等.东中国海及毗邻海域海面风场季节及年际变化特征分析[J].海洋预报,2012,27(2):30-37.