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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．
By using the method of empirical orthogonal function, the average sea surface is decomposed into the algebraic sum of empty function product when orthogonal. The combination of the dominant orthogonal functions yields a modified sea level change that eliminates some random effects. The main periodic part of the mean sea surface eigenvalue of the main time is removed and the rate of change of the remaining part is obtained. Multiplying the spatial eigenfunctions gives the average sea surface rate of each station. Predict the future eigenfunction of time, we can get the original average sea surface forecast value.