最优插值法及其在热带太平洋海表温度数据同化中的应用

Optimal interpolation and its application to assimilation of SST data in the Tropic Pacific Ocean

利用M IT gcm模式和最优插值法搭建的同化平台对热带太平洋赤道附近的海表温度SST数据进行了数值同化处理。结果表明,同化处理有效兼顾了模式模拟值和观测值,纠正了模式模拟值出现的误差,数值同化结果更接近于观测值。该同化平台能够更好地反映出SST的分布特征,该同化方法可以有效地对海表数据进行数值预报。

This paper constructs an assimilation system to deal with SST data around the equator in Tropic Pacific Ocean. The result of the experiment indicates that the assimilation result can give attention to the model-simulated values and the observed values effectively, and correct the errors of model-simulated values, making it to be more close to the real data. The assimilation system can better reflect features of SST distribution, and also can be used to forecast SST effectively.