海洋学研究 ›› 2014, Vol. 32 ›› Issue (1): 1-10.DOI: 10.3969/j.issn.1001-909X.2014.01.001

• 研究论文 •    下一篇

中国近海海面风场的时空特征分析

陈心一1,2, 郝增周*1,2, 潘德炉1,2, 黄思训3, 龚芳1,2, 施东升4   

  1. 1.卫星海洋环境动力学国家重点实验室,浙江 杭州 310012;
    2.国家海洋局 第二海洋研究所,浙江 杭州 310012;
    3.解放军理工大学 气象海洋学院,江苏 南京 211101;
    4.吕四海洋环境监测站,江苏 南通 226241
  • 收稿日期:2014-01-17 修回日期:2014-01-29 出版日期:2014-03-15 发布日期:2022-11-25
  • 通讯作者: *郝增周,副研究员,E-mail:hzyx80@163.com
  • 作者简介:陈心一(1989-),男,江苏常州市人,主要从事海洋遥感方面的研究。E-mail:chxy0206@163.com
  • 基金资助:
    国家重点基础研究发展计划项目资助(2012BAH32B01);中法海洋卫星项目资助(CFOSAT project)

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

CHEN Xin-yi1,2, HAO Zeng-zhou*1,2, PAN De-lu1,2, HUANG Si-xun3, GONG Fang1,2, SHI Dong-sheng4   

  1. 1. State Key Laboratory of Satellite Ocean Environment Dynamics, Hangzhou 310012, China;
    2. The Second Institute of Oceanography, SOA, Hangzhou 310012, China;
    3. Institute of Meteorology, People's Liberation Army University of Science and Engineering, Nanjing 211101, China;
    4. Marine Environment Monitoring Station of Lüsi Harbor, Nantong 226241, China
  • Received:2014-01-17 Revised:2014-01-29 Online:2014-03-15 Published:2022-11-25

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摘要： 本文利用1987年9月—2013年9月连续26 a的多源卫星融合数据,用经验正交函数方法(EOF)分析中国近海海面风场变化特征。分析结果指出中国近海海面风场的第一模态占总方差贡献的63.94%,呈现为冬-夏季风振荡类型,揭示了中国近海风场的季节变化特征;第二模态占总方差贡献的12.35%,呈现为春-秋振荡类型,反映了冬季风和夏季风过渡时期的变化特征;第三模态占总方差贡献的3.49%,呈现出近似半年周期的波动,体现了中国近海风场季节内变化的特征。

关键词: 中国近海, 多源卫星, 海面风场, EOF

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

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