摘要
利用经验正交函数的方法，将平均海面分解为正交时、空函数积的代数和。采用起主导作用的正交函数进行组合，得到修正的海平面变化值，它消除了某些随机的影响。去掉平均海面主要时间本征函数中的主要周期部分，求得剩余部分的变化率，乘以空间本征函数可得各站平均海面的变化速率。对未来的时间本征函数作出预报，便可得到本来的平均海面预报值．
The empirical orthogonal function method is used to decompose the annual mean relative sea level into the algebraic sum of the product of the spatial orthogonal functions and the temporal eigenfunctions. The revised value of the sea level value can be obtained by recomposing the principal eigenfunctions, i.e.,during which some random effects are removed. Every temporal eigenfunction can be decomposed into the algebraic sum of the linear variation part and the periodic variati on part:After removing the principal periodic part from the principal temporal eigenfunctions, the residual part variation rates can be obtained for multiplication with every principal spatial function to the variation rates of relative sea level. The future sea evel can be predicted.
出处
《海洋与湖沼》
CAS
CSCD
北大核心
1995年第3期331-337,共7页
Oceanologia Et Limnologia Sinica
基金
国家自然科学基金!9488007
中国科学院资助!87-45-03
关键词
海面
平均海面变化率
空间本征函数
中国沿岸
Relative mean sea level
Rates of mean sea level
Temporal eigenfunction
Spatial eigenfunction
