Mesoscale Eddy Trajectory Atlas META3.2 Delayed-Time all satellites
收藏DataCite Commons2026-03-24 更新2024-07-13 收录
下载链接:
https://www.aviso.altimetry.fr/en/data/products/value-added-products/global-mesoscale-eddy-trajectory-product/meta3-2-dt.html
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资源简介:
This dataset is composed of the trajectories and all associated parameters for the eddies detected with the py-eddy-tracker algorithm (Mason et al., 2014. DOI:10.1175/JTECH-D-14-00019.1) freely released under a GPL V3 license (https://github.com/AntSimi/py-eddy-tracker). The detection is made on maps of Absolute Dynamic Topography (ADT) computed with the maximum altimeter satellites available, the maps are distributed by the Copernicus Marine Service (https://marine.copernicus.eu, cf user manual for details). The maps are high-pass filtered with a half-power cutoff wavelenght of 700 km. The amplitude must be over 0.4 cm , the minimum number of grid points within a contour is 5 and the shape error must be below 70% on the raw effective contour. Note that the contour storage resampling may slightly change the provided error. The tracking is made through the overlap of the eddies. In case of multiple candidates, the eddy with the higher ratio overlap area over union area is associated to the trajectory. Trajectories are considered reliable when they last at least 10 days.
本数据集包含通过py-eddy-tracker算法(py-eddy-tracker,Mason等,2014,DOI:10.1175/JTECH-D-14-00019.1)检测得到的海洋涡旋轨迹及全部关联参数,该算法以GPL V3许可证开源发布(源码仓库地址:https://github.com/AntSimi/py-eddy-tracker)。检测基于现有覆盖范围最广的高度计卫星数据计算得到的绝对动力地形(Absolute Dynamic Topography,ADT)场,该数据场由哥白尼海洋环境服务(Copernicus Marine Service)发布,详细说明请参考其官方用户手册(数据来源:https://marine.copernicus.eu)。该数据场已完成高通滤波处理,半功率截止波长为700千米。涡旋检测需满足以下条件:振幅大于0.4厘米,单个轮廓内的最小网格点数为5,原始有效轮廓的形状误差低于70%。需注意,轮廓存储重采样操作可能会略微改变所提供的误差数值。轨迹追踪通过涡旋间的重叠区域实现,若存在多个匹配候选,则将重叠面积与并集面积比值更高的涡旋关联至对应轨迹。当轨迹持续时长不少于10天时,其结果将被判定为可靠。
提供机构:
CNES
创建时间:
2022-03-24
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集是一个全球性的中尺度涡旋轨迹图集产品(META3.2 DT allsat版本),基于多卫星高度计数据生成,用于研究海洋中尺度涡旋。它提供了从1993年至今的全球涡旋轨迹数据,包括位置、轮廓、振幅、半径和速度等元数据,数据格式为NetCDF-4 Classic,可免费获取并附有分析工具和文档。
以上内容由遇见数据集搜集并总结生成



