College of Ocean Science and Engineering, Shandong University of Science and Technology

普林斯顿海洋模型(POM)是应用较为广泛的区域海洋数值模型,但在全球潮汐数值模拟中的适用性尚待检验。本研究将三极网格和潮汐势引入POM中,对包含北极点的海洋潮波问题进行模拟,并建立水平分辨率1°×1°的全球大洋潮波数值模型,对全球M2正压潮波进行数值模拟。模拟结果显示,太平洋存在5个M2分潮无潮点,大西洋存在4个M2分潮无潮点,印度洋存在3个M2分潮无潮点,北冰洋存在2个M2分潮无潮点;总体来看,大洋M2分潮振幅小于近岸振幅,赤道太平洋海域出现2个M2分潮的高振幅区,北冰洋与其他三大洋相比振幅最小。POM模拟结果与TPXO7.2全球潮汐同化模型结果基本一致,两者振幅均方根误差为5.6cm,迟角均方根误差为10.0°,振幅的平均相对误差为12.5%;POM模拟结果与全球潮汐常数(GTCs)数据集对比,两者振幅均方根误差为21.4cm,迟角的均方根误差为29.1°,振幅的平均相对误差为25.1%。表明所构建的POM全球大洋潮波模型能够较为准确地模拟全球潮波,得到全球潮汐的分布特征,为POM应用于其他全球海洋动力过程研究提供借鉴和参考。

The Princeton ocean model (POM) is a widely-used regional numerical model, but its applicability to numerical simulation of global tide has not been verified. In this study, the tripolar grid and tidal potential was introduced into POM to simulate the global ocean tide including the North Pole and established a numerical model of global tide with a horizontal resolution of 1°× 1° to simulate the global M2 barotropic tide. The model results showed that there are amphidromic points of M2 tidal component in the Pacific Ocean, in the Atlantic Ocean, in the Indian Ocean, and in the Arctic Ocean. The amplitude of the M2 tidal component is generally smaller than that of the nearshore. There are two high amplitude regions of the M2 tidal component in the equatorial Pacific Ocean and the amplitude of the Arctic Ocean is the smallest in comparison with the other three oceans. The results are highly consistent with that from the TPXO7.2 global ocean tidal assimilation model, with a root mean square error of the tidal amplitude of 5.6 cm, a root mean square deviation of the phase of 10.0°, and a mean relative error of amplitude of 12.5%. The simulated results of POM were then compared with the global tidal constants (GTCs) data set and the results show an root mean square error of 21.4 cm for amplitude, 29.1° for phase, and a mean relative error of 25.1% for amplitude. This suggests that the proposed model based on POM can accurately simulate and obtain the distribution characteristics of the global ocean tide, thus providing a reference for the application of POM into other research on global ocean dynamic processes.

山东科技大学人才引进科研启动基金项目(2016RCJJ013);海岛(礁)测绘技术国家测绘地理信息局重点实验室资助项目(2015B04)