海洋学研究 ›› 2022, Vol. 40 ›› Issue (3): 3-8.DOI: 10.3969-j.issn.1001-909X.2022.03.001

• •    下一篇

论陆-海界面的复参数化

  

  1. (1.厦门大学 东山太古海洋观测与实验站，福建 厦门 361005； 2.自然资源部第二海洋研究所，
    浙江 杭州 310012； 3.江苏科技大学 船舶与海洋工程学院，江苏 镇江 212100)

  • 出版日期:2022-09-15 发布日期:2022-09-15
  • 作者简介:李炎 ( 1954—)，男，福建省泉州市人，教授，主要从事河口海岸学研究，E-mail：liyan@xmu.edu.cn。
  • 基金资助:
    卫星海洋环境动力学国家重点实验室高端访问海星学者基金

Complex parameterization for land-ocean interface: A perspective

  1. (1.Dongshan Swire Marine Station, Xiamen University, Xiamen 361005, China; 2.Second Institute of 
    Oceanography, MNR, Hangzhou 310012, China; 3.School of Naval Architecture and Ocean Engineering, 
    Jiangsu University of Science and Technology, Zhenjiang 212100, China)

  • Online:2022-09-15 Published:2022-09-15

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摘要： 陆-海界面是地球系统科学模型边界条件设定的难点。入海物质通量测量的不确定性、逆梯度汇聚的局域化功能以及可降维自适应结构的存在，使得陆-海界面成为共振条件下连接线性与非线性系统的枢纽，难以在经典线性化理论框架下组织“各态遍历”的测量，实现界面系统的实参数化，满足地球系统科学模型的环境模拟与预测需求。受前人借助卫星高度计和潮位站等大规模水位数据阵列的伴随同化，运用陆架潮波数值模型反演海底边界层拖曳系数时空变化规律的案例启发，文章提出了陆-海界面系统的复参数化思维以及遥感观测和数值模型相结合的复参数化建议。


关键词: 陆-海界面, 遥感观测, 数值模型, 参数化, 复数

Abstract:  Land-ocean interface has been a challenge in determining the boundary conditions for earth system modelling. Due to the uncertainty of material fluxes, the localization effect on counter gradient convergence, and the existence of self-adapted structures, land-ocean interface is unable to be monitored ergodically under the framework of classic linear theory. There is a great difficulty in quantifying real parameters for this interface, which is the key connection between linear and nonlinear systems under harmonic conditions, to better improve the simulation and prediction capability of earth system modelling. In a previous work, based on a two-dimensional multi-constituent tidal model and its adjoint model, together with assimilation using satellite altimeter data and tidal gauge array data, the spatial and temporal variation in bottom friction coefficient was estimated in an improved way. Inspired by the abovementioned study, this contribution proposed a suggestion of complex parameterization for land-ocean interface, in combination with remote sensing observation and numerical modelling.


Key words: land-ocean interface, remote sensing observation, numerical modelling, parameterization, complex number

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