Data for: Observations of Cape-Induced Wake Eddy Evolution in the Kuroshio Edge

Overview This repository contains the observational datasets and processed figure data associated with the manuscript: "Observations of Cape-Induced Wake Eddy Evolution in the Kuroshio Edge", submitted to the *Journal of Geophysical Research: Oceans (JGR: Oceans). The data provided herein support the study's primary findings regarding the submesoscale wake eddy dynamics, hydrographic structures, and turbulence characteristics downstream of Cape Eluanbi, Taiwan. Contents of the Repository The dataset is organized by the corresponding figures in the manuscript: Data for Figure 1: Satellite-derived 2020 annual-mean chlorophyll-a concentration, 2020 annual-mean surface geostrophic current vectors derived from satellite altimetry, and the climatological Kuroshio axis location. Data for Figure 2: High-resolution satellite imagery illustrating two recurrent surface wake expressions downstream of Cape Eluanbi, including corresponding sea surface temperature (SST) and chlorophyll-a fields. Data for Figure 3: A temporal sequence of satellite chlorophyll-a images captured on 4 October, capturing the rapid spatial evolution of wake-related surface tracer features within Taitung Bay across three distinct time steps. Data for Figure 4: Observations from repeated transects, featuring vertical and horizontal profiles of fluorescence, sea water temperature, salinity, cross-shore velocity (u), and the gradient Rossby number (Ro_g). Data for Figure 5: Spatial-temporal evolution of the wake eddy structure across transects T07–T10, including zonal (u) and meridional (v) velocity components, alongside gradient Rossby numbers. Data for Figure 6: Structural evolution of turbulence and instability diagnostics across transects T07–T10, including turbulent kinetic energy (TKE) dissipation rate, reduced shear squared (S^2 - N^2), and Ertel potential vorticity (q). Data for Figure 7: Detailed diagnostic profiles/sections of Ertel potential vorticity (q), reduced shear squared, and the corresponding TKE dissipation rate within the core of the wake eddy. Technical Specifications Data Format: All data are archived in MATLAB (.mat) format概述 本仓库包含与投稿至《地球物理研究杂志：海洋》（*Journal of Geophysical Research: Oceans, JGR: Oceans*）的论文《黑潮边缘岬角诱导尾迹涡旋演化观测》相关的观测数据集与制图后处理数据。 本数据集支撑了该研究关于台湾鹅銮鼻（Cape Eluanbi）下游亚中尺度（submesoscale）尾迹涡旋动力学、水文结构与湍流特征的核心发现。 数据集内容 本数据集按照论文中的对应图表进行分类整理： 图1对应数据：卫星反演的2020年年均叶绿素-a浓度、由卫星测高数据得到的2020年年均表层地转流矢量，以及气候态黑潮主轴位置。 图2对应数据：展示鹅銮鼻下游两处重复出现的表层尾迹特征的高分辨率卫星影像，包含对应的海表温度（SST）与叶绿素-a场。 图3对应数据：10月4日获取的卫星叶绿素-a影像时序序列，捕捉了台东湾内与尾迹相关的表层示踪物特征在三个独立时间步下的快速空间演化过程。 图4对应数据：重复走航观测数据，包含荧光强度、海水温度、盐度、跨岸流速（u）与梯度罗斯比数（Ro_g）的垂直与水平剖面。 图5对应数据：T07至T10走航断面处尾迹涡旋结构的时空演化特征，包含纬向（u）与经向（v）流速分量，以及梯度罗斯比数。 图6对应数据：T07至T10走航断面处湍流与不稳定性诊断量的结构演化特征，包含湍流动能（TKE）耗散率、约化剪切平方（S² - N²）与埃特尔位涡（Ertel Potential Vorticity, q）。 图7对应数据：尾迹涡旋核心区内埃特尔位涡（q）、约化剪切平方与对应湍流动能耗散率的精细化诊断剖面/断面。 技术规范 数据格式：所有数据均以MATLAB（.mat）格式归档存储。