利用POM模式和空间插值法构造的同化方案对南海北部的航次观测资料进行了数据同化模拟。结果表明,数据同化有效兼顾了模式模拟和航次观测,在一定程度上纠正了模式模拟值相对于真实数据的误差;同化结果与模拟结果相比更接近观测值,在航次断面及其附近海域同化结果误差较小;另一方面,由于航次资料站点相对较少,在无观测数据的海域模式同化不是很理想,有待改进。此方法可为南海大型航次及其他资料同化提供一个再分析资料的实验性参考。
The authors assimilate cruise data in the northern South China Sea using the Princeton Ocean Model(POM).The results show that the model assimilation improves the simulation effectively by reducing model errors,namely making the model results closer to the observations.The assimilation results,however,are not quite ideal in the regions where cruise observations are absent,indicating the method needs to be improved.This assimilation method once improved can provide re-analysis dataset for studying the South China Sea.