中国近海高分辨率水动力数值模式的建立与评估

Establishment and Evaluation of a High-resolution Hydrodynamic Numerical Model for China Seas

  • 摘要: 基于区域海洋模式ROMS(Regional Ocean Modelling System),本文采用FIO-COM(wave-tide-circulation Coupled Ocean Model developed by the First Institute of Oceanography)再分析数据作为开边界强迫,构建了一个高分辨率的中国近海水动力数值模式。模式模拟的主要分潮的调和常数与EOT20卫星观测结果吻合,结果表明,中国近海的潮汐主要受太平洋潮波的影响,并分为南北两支,模式较好地再现了无潮点的实际地理位置。本文基于偏差( \mathrmb\mathrmi\mathrma\mathrms )、平均误差( \mathrmM\mathrmE )、平均绝对误差( \mathrmM\mathrmA\mathrmE )、均方根误差( \mathrmR\mathrmM\mathrmS\mathrmE )和相关系数(R)等统计分析参数,对海表面温度(SST)和海表面盐度(SSS)模拟结果进行了评估。结果表明,模式模拟的SST和SSS的季节变化特征与OI SST和SMAP SSS观测数据吻合良好,模式模拟的各季节SST与OI SST的空间相关系数达到0.989及以上;对于年平均结果,SST与观测数据的空间相关系数高达0.997,SSS可达0.95。此外,模式能够较好地模拟出中国近海环流场的季节变化和黄海冷水团结构特征及生消过程。

     

    Abstract: A high-resolution hydrodynamic numerical model based on the Regional Ocean Modelling System (ROMS) for the China Seas was built, with FIO-COM reanalysis data as boundary forcing. The model simulated tidal results agree well with the EOT20 satellite observations, suggesting that the tides in this region are predominantly influenced by tidal waves from the Pacific Ocean and split into a northern branch and a southern branche. Furthermore, the locations of tidal amphidromic points were simulated accurately. To evaluate the model performance in simulating sea surface temperature (SST) and sea surface salinity (SSS), statistical analysis methods including bias ( \mathrmb\mathrmi\mathrma\mathrms ), mean error ( \mathrmM\mathrmE ), mean absolute error ( \mathrmM\mathrmA\mathrmE ), root mean square error ( \mathrmR\mathrmM\mathrmS\mathrmE ), and correlation coefficients (R) were utilized. The results indicate that the seasonal variation of the modeled SST and SSS are close to the OI SST and SMAP SSS observational data. The spatial correlation coefficients between the simulated SST and OI SST observation data for all seasons exceed 0.989, while that of the annual mean SST and SSS can reach 0.997 and 0.95, respectively. Additionally, the model also successfully simulates the seasonal variation of the currents in the China Seas as well as the structure and lifecycle of the Yellow Sea cold water mass.

     

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