TrackEddy v1.0 output of identified eddies from the AVISO+ satellite altimetry (1993-2020) v2.0

This dataset is a collection of globally identified coherent eddies from the AVISO+ dataset covering the period 1993 to 2020. This is version 2.0 that extends v1.0 from 2017 to 2020.
This dataset was produced with the eddy identification and tracking algorithm "TrackEddy" (https://github.com/josuemtzmo/trackeddy), which identifies, tracks and reconstructs the Gaussian perturbation of each coherent eddy-like feature in the ocean.
The input data is the satellite altimeter product produced by Ssalto/Duacs and distributed by AVISO, with support from CNES (https://www.aviso.altimetry.fr/en/data/products/sea-surface-height-products/global/gridded-sea-level-heights-and-derived-variables.html)
The TrackEddy algorithm uses Sea Surface Height to identify eddies based on their geometrical structure and represents them as Gaussians through an optimal Gaussian fitting. With this output, the end-user could reconstruct the coherent eddy-like field for the full satellite altimetry period.
The software used to develop the algorithm and produce-analyse the data is python based, the output is saved as NetCDF files. The data can be reproduced at any current time using the frozen version of the TrackEddy algorithm. TrackEddy has a set of unit tests dedicated to ensuring the reproducibility of results.
This dataset is an output of the research program Climate variability and teleconnections of the Centre of Excellence for Climate Extremes (CLEX)

本数据集源自AVISO+数据集，收录了1993年至2020年期间全球范围内识别出的相干海洋涡旋（coherent eddies）。本次发布为2.0版本，相较于1.0版本，将时间范围从2017年扩展至2020年。
本数据集采用涡旋识别与追踪算法“TrackEddy”（https://github.com/josuemtzmo/trackeddy）生成，该算法可识别、追踪海洋中的每一类相干涡旋特征，并对其高斯扰动进行重构。
输入数据为由Ssalto/Duacs生产、AVISO分发的卫星高度计产品，该产品得到法国国家空间研究中心（CNES）的支持，相关数据访问链接为：https://www.aviso.altimetry.fr/en/data/products/sea-surface-height-products/global/gridded-sea-level-heights-and-derived-variables.html
TrackEddy算法以海面高度（Sea Surface Height）为依据，基于涡旋的几何结构识别涡旋，并通过最优高斯拟合将其表征为高斯模型。基于该算法的输出结果，终端用户可重构整个卫星高度计观测周期内的相干类涡旋场。
用于开发该算法并完成数据生产与分析的软件基于Python语言编写，输出结果以NetCDF格式存储。用户可通过TrackEddy算法的固化版本，在任意时间复现本数据集。TrackEddy配备了一系列专用单元测试，以确保结果的可复现性。
本数据集是气候极端事件卓越中心（Centre of Excellence for Climate Extremes, CLEX）的“气候变率与遥相关”研究计划的产出成果。