摘要
基于QuikSCAT海面风场产品,对海面风场资料进行了EOF分析和随机动态分析,以此分析南海海面风场的变化特征。研究发现:海面原始风场风速季节变化最为明显,其变化占总变化方差的59.1%,黑潮的季节变化通过海气相互作用对南海局地风场有较明显的影响;原始风场第三模态及异常风场第二模态时间变化函数与SOI和PDO弱相关,且异常风场第二模态时间变化函数谱分析结果主要呈现5年的周期变化,南海海面风场变化与年际振荡有关;南海大部分海区风速呈现增长的趋势,但增长速率较小;风速增大最快的区域是台湾海峡以南海域和北部湾,增长速度达到0.05 ms-1a-1。
Based on QuickSCAT wind data in the South China Sea,the characteristics of the sea surface wind is analyzed by EOF analysis and stochastic-dynamic analysis,.The results show as follows：（1） the seasonal variability of the surface wind speed in the South China Sea is significant,which takes 59.1 percent of the total variance of variability,and the seasonal variability of the Kuroshio exerts influence on the local sea surface wind obviously by air-sea interaction.（2） the time series of the third mode of original wind field and the time series of the second mode of wind anomaly field show weak correlations with SOI and PDO in the South China Sea,and the period of thesecond mode of wind anomaly field is 5 years,suggesting that the variation of the South China Sea wind is related with the decadal change.（3） the sea surface wind speed shows slightly increasing trend in most area of the South China Sea.（4） the maximum wind speed increasing area happens in the North Bay and the southern Taiwan Strait,and the increasing rate can reach 0.05 ms-1a-1.
出处
《海洋预报》
北大核心
2012年第3期1-8,共8页
Marine Forecasts
基金
国家自然科学基金"太平洋海平面变化的动力和热力学机制研究"(40976006)
关键词
南海
海面风场
EOF分析
SOI
PDO
the South China Sea； sea surface wind； EOF analysis； SOI； PDO
