Abstract. This paper presents the new global Mesoscale Eddy Trajectories Atlases (META3.1exp DT all-satellites, https://doi.org/10.24400/527896/a01-2021.001, Pegliasco et al., 2021a and META3.1exp DT two-satellites, https://doi.org/10.24400/527896/a01-2021.002, Pegliasco et al., 2021b), composed of the eddies’ identifications and trajectories produced with altimetric maps. The detection method used is a heritage of the py-eddy-tracker algorithm developed by Mason et al. (2014), optimized to manage with efficiency large datasets, and thus long time series. These products are an improvement of the META2.0 product, produced by SSALTO/DUACS and distributed by AVISO+ (https://aviso.altimetry.fr) with support from CNES, in collaboration with Oregon State University with support from NASA and based on Chelton et al. (2011). META3.1exp provides supplementary information such as the mesoscale eddy shapes with the eddy edges and their maximum speed contour, and the eddy speed profiles from the center to the edge. The tracking algorithm used is based on overlapping contours, includes virtual observations and acts as a filter with respect to the shortest trajectories. The absolute dynamic topography field is now used for eddy detection, instead of the sea level anomaly maps, to better represent the ocean dynamics in the more energetic areas and close to coasts and islands. To evaluate the impact of the changes from META2.0 to META3.1exp, a comparison methodology has been applied. The similarity coefficient is based on the ratio between the eddies' overlap and their cumulative area, and allows an extensive comparison of the different datasets in terms of geographic distribution, statistics over the main physical characteristics, changes in the lifetime of the trajectories, etc. After evaluating the impact of each change separately, we conclude that the major differences between META3.1exp and META2.0 are due to the change in the detection algorithm. META3.1exp contains smaller eddies and trajectories lasting at least 10 days that were not available in the distributed META2.0 product. Nevertheless, 55 % of the structures in META2.0 are similar in META3.1exp, ensuring the continuity between the two products, and the physical characteristics of the common eddies are close. Geographically, the eddy distribution mainly differs in the strong current regions, where the mean dynamic topography gradients are sharp. The additional information on the eddy contours allows more accurate collocation of mesoscale structures with data from other sources, so META3.1exp is recommended for multi-disciplinary applications.

中文翻译：

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META3.1exp : 一个新的全球中尺度涡动轨迹图集，来自高度计

摘要。本文介绍了新的全球中尺度涡流轨迹图集（META3.1exp DT all-satellites, https://doi.org/10.24400/527896/a01-2021.001, Pegliasco et al., 2021a and META3.1exp DT two-satellites https://doi.org/10.24400/527896/a01-2021.002, Pegliasco et al., 2021b)，由高度图产生的涡流识别和轨迹组成。所使用的检测方法继承了 Mason 等人开发的 py-eddy-tracker 算法。(2014)，优化以高效管理大型数据集，从而管理长时间序列。这些产品是 META2.0 产品的改进，由 SSALTO/DUACS 生产，由 AVISO+ (https://aviso.altimetry.fr) 在 CNES 的支持下分发，与俄勒冈州立大学合作，在 NASA 的支持下，基于切尔顿等人。(2011)。元3。1exp 提供了补充信息，例如具有涡边缘的中尺度涡形状及其最大速度轮廓，以及从中心到边缘的涡速度轮廓。所使用的跟踪算法基于重叠轮廓，包括虚拟观察，并作为最短轨迹的过滤器。绝对动态地形场现在用于涡流检测，而不是海平面异常图，以更好地表示能量更高的区域以及靠近海岸和岛屿的海洋动力学。为了评估从 META2.0 到 META3.1exp 的变化的影响，已经应用了一种比较方法。相似系数基于涡流重叠与其累积面积之比，并允许在地理分布、主要物理特征的统计数据、轨迹寿命的变化等方面对不同数据集进行广泛比较。在分别评估每个变化的影响后，我们得出结论，META3.0 之间的主要差异。 1exp 和 META2.0 是由于检测算法的变化。META3.1exp 包含较小的涡流和持续至少 10 天的轨迹，这些在分布式 META2.0 产品中是不可用的。尽管如此，META2.0中55%的结构在META3.1exp中是相似的，保证了两种产品之间的连续性，共同涡的物理特性接近。从地理上看，涡分布主要在强流区不同，那里的平均动态地形梯度很陡峭。