Estimating the Volume Transport of Kuroshio Extension based on Satellite Altimetry and Hydrographic Data

IF 1.9 4区 地球科学 Q2 ENGINEERING, OCEAN
Haihong Guo, Zhaohui Chen, Haiyuan Yang, Yu Long, Ruichen Zhu, Yueqi Zhang, Zhao Jing, Chunming Yang
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引用次数: 0

Abstract

In this study, an effective method of estimating the volume transport of the Kuroshio Extension (KE) is proposed using surface geostrophic flow inferred from satellite altimetry and vertical stratification derived from climatological Temperature/Salinity (T/S) profiles. Based on velocity measurements by a subsurface mooring array across the KE, we found that the vertical structure of horizontal flow in this region is dominated by the barotropic and first baroclinic normal modes, which is commendably described by the leading mode of Empirical Orthogonal Functions (EOFs) of the observed velocity profiles as well. Further analysis demonstrates that the projection coefficient of moored velocity onto the superimposed vertical normal mode can be represented by the surface geostrophic velocity as derived from satellite altimetry. Given this relationship, we proposed a dynamical method to estimate the volume transport across the KE jet, which is well verified with both ocean reanalysis and repeated hydrographic data. This finding implicates that, in the regions where the currents render quasi-barotropic structure, it takes only satellite altimetry observation and climatological T/S to estimate the volume transport across any section.
基于卫星测高和水文资料估算黑潮扩展的体积输运
本文提出了一种利用卫星测高数据推断的地表地转流和气候温度/盐度(T/S)剖面的垂直分层来估算黑潮扩展(KE)体积输运的有效方法。通过对横贯KE的地下系泊阵列的速度测量,我们发现该区域水平流的垂直结构主要由正压和第一斜压正态模态所主导,这也很好地描述了观测速度剖面的经验正交函数(EOFs)的主导模态。进一步分析表明,系泊速度在叠加垂直正态模态上的投影系数可以用卫星测高得到的地表地转速度来表示。考虑到这种关系,我们提出了一种估算KE急流体积输运的动力学方法,该方法得到了海洋再分析和重复水文数据的验证。这一发现表明,在海流呈现准正压结构的地区,只需要卫星测高观测和气候T/S就可以估计任何剖面的体积输送。
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来源期刊
CiteScore
4.50
自引率
9.10%
发文量
135
审稿时长
3 months
期刊介绍: The Journal of Atmospheric and Oceanic Technology (JTECH) publishes research describing instrumentation and methods used in atmospheric and oceanic research, including remote sensing instruments; measurements, validation, and data analysis techniques from satellites, aircraft, balloons, and surface-based platforms; in situ instruments, measurements, and methods for data acquisition, analysis, and interpretation and assimilation in numerical models; and information systems and algorithms.
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