检索
E-mail
RSS

作者投稿 主编审稿 专家审稿 远程编辑

热带海洋学报

• • 上一篇    下一篇

海洋锋面亚中尺度结构的三维重建研究

张清月1，曹海锦1，经志友2   

  1. 1. 河海大学海洋学院, 江苏 南京 210098;

    2. 热带海洋环境国家重点实验室(中国科学院南海海洋研究所), 广东 广州 510301



  • 收稿日期:2026-01-21 修回日期:2026-04-08 接受日期:2026-04-14
  • 通讯作者: 曹海锦
  • 基金资助:

    国家自然科学基金委员会共享航次计划NORC2022—302航次(42149907);国家重点研发计划项目(2023YFC3008003); 国家自然科学基金项目(42530403,42176004)

Three-Dimensional Reconstruction of Submesoscale Structures in Oceanic Fronts

ZHANG Qingyue1, CAO Haijin1, JING Zhiyou2   

  1. 1. College of Oceanography, Hohai University, Nanjing 210098, China;

    2. State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China



  • Received:2026-01-21 Revised:2026-04-08 Accepted:2026-04-14
  • Supported by:

    the open research cruise NORC2022-302 supported by NSFC Shiptime Sharing Project (project number: 42149907); National Key R&D Program of China (2023YFC3008003); National Natural Science Foundation of China (42530403，42176004)

PDF (PC)

赞

摘要： 海洋亚中尺度过程的动力特征和三维结构复杂，目前的观测方法无法实现该尺度下三维结构的观测，因而限制了亚中尺度过程的研究发展。本研究利用在海洋涡旋锋面处的高分辨率拖体观测数据和模式数据，探究了利用三维变分同化方法（3D-Var）与最优插值法（OI）重建锋面亚中尺度过程三维结构的可行性。基于模式数据，系统比较了两种方法在捕捉锋面结构、温度梯度的能力。/t/n/t/nOI 方法。最优插值法则在稳定层结区表现良好，但在复杂非线性结构的重构方面有所不足。此外，基于观测数据的重构检验，表明三维变分同化能够基于有限的断面观测重建海洋亚中尺度过程的三维结构，为海洋亚中尺度研究提供重要支撑。

关键词: 海洋亚中尺度过程, 海洋锋面, 三维重建

Abstract: Submesoscale oceanic processes exhibit complex dynamics and three-dimensional structures, yet their direct observation remains challenging due to limitations in existing observational techniques, which hinders further understanding of submesoscale dynamics. In this study, high-resolution towed observations collected across an oceanic eddy-front system, together with numerical model data, are used to investigate the feasibility of reconstructing the three-dimensional structure of frontal submesoscale processes using a three-dimensional variational data assimilation method (3D-Var) and optimal interpolation (OI). Based on model-simulated datasets, the performance of the two methods in reproducing frontal structures and temperature gradients is systematically evaluated. The results indicate that the 3D-Var method exhibits clear advantages in regions characterized by strong temperature gradients, yielding more accurate reconstructions with significantly lower root-mean-square errors than those obtained by OI. In contrast, the OI method performs relatively better in stably stratified layers but shows limitations in representing complex nonlinear structures. Furthermore, reconstructions based on shipborne towed observations demonstrate that the 3D-Var approach is capable of recovering the three-dimensional structure of submesoscale frontal processes from limited sectional observations. These results suggest that three-dimensional variational assimilation provides an effective framework for investigating oceanic submesoscale processes using high-resolution towed measurements.

Key words: Submesoscale processes, Ocean fronts, Three-dimensional reconstruction