【摘要】 本文利用经验正交分解法(Empirical Orthogonal Function,EOF)对不同月平均和10天平均的西北太平洋海洋表面温度距平数据进行分解,得到月平均和10天平均的西北太平洋海洋表面温度距平分布模态,并对分布模态进行比较。发现尽管数据源相同,但是不同时间分辨率的EOF结果出现正好相反的情况,文章最后从数学的角度解释了月平均和10天平均的海洋表面温度距平模态及其时间系数发生反向的原因。更多还原

【Abstract】 This paper analyzes the monthly and ten-day interval averages of the Northwest Pacific sea surface temperature anomalies data using empirical orthogonal function(EOF) to determine the sea surface temperature anomalies modes for these time intervals and to compare them.Finally,this paper uses the mathematical viewpoint to explain the sea surface temperature anomalies modes for the monthly and ten-day interval averages and why they have a negative correlation with temperal coefficient.更多还原