Atlas of 3D Eddies in the Mediterranean Sea from 2000 to 2017

Atlas of mesoscale eddies and their 3D characterization in the Mediterranean Sea for the years 2000-2017. This data-set was obtained from the dynamical analysis of the geostrophic surface currents time-series provided by DUACS/AVISO (https://duacs.cls.fr/) and computed from the delayed-time Absolute Dynamical Topography maps at 1/8°. First, the cyclogeostrophic velocity field was computed from the geostrophic surface current in order to take into account the ageostrophic velocity components induced by the streamlines curvature. Such correction might be significant for a few long-lived anticyclones in the Mediterranean, such as the Iearapetra anticyclone (Ioannou et al. 2017 https//doi: 10.1002/2017JC013158.). The Angular Momentum Eddy Detection and tracking Algorithm (AMEDA; Le Vu et al. 2018 https://doi.org/10.1175/JTECH-D-17-0010.1) was then applied to the cyclogeostrophic velocity field. This optimized algorithm provides several dynamical characteristics of the detected eddies and the tracking procedure identifies the merging and the splitting events. It allows an accurate tracking of long-lived eddies that might experience several eddy-eddy interactions during their lifetime. An estimation of the vertical structure of a several eddies is obtain from the identification of the Argo profiles of the Coriolis data-base (http://www.coriolis.eu.org) which surface inside the detected eddies. The DYNED-Atlas-Med data base provides depth-interpolated Temperature, Salinity and Density profile both inside and outside the detected eddies. Besides, following Pegliasco et al., 2015 (https://doi.org/10.1002/2015JC010950), a background profile is computed from a climatological average (+/-30 days whatever the year) of all the profiles outside the detected eddies. These background profiles allows to estimate the hydrological anomalies and their vertical extend within several eddy cores.

2000-2017年地中海中尺度涡旋及其三维特征图集。本数据集源自对DUACS/AVISO（https://duacs.cls.fr/）提供的地转表层流时间序列的动力学分析，基于1/8°分辨率的延迟式绝对动力地形地图计算得到。首先，研究人员从地转表层流中计算旋衡流速场，以考虑流线曲率诱导的非地转流速分量。该校正效应对于地中海部分长寿命反气旋（如伊亚佩特拉反气旋，Ioannou等，2017，https://doi.org/10.1002/2017JC013158.）可能较为显著。随后，角动量涡旋检测与跟踪算法（Angular Momentum Eddy Detection and tracking Algorithm, AMEDA；Le Vu等，2018，https://doi.org/10.1175/JTECH-D-17-0010.1）被应用于旋衡流速场。该优化算法可输出检测到的涡旋的多项动力学特征，其跟踪流程可识别涡旋的合并与分裂事件，能够精准跟踪在生命周期内可能经历多次涡旋-涡旋相互作用的长寿命涡旋。部分涡旋的垂直结构可通过识别科里奥利数据库（http://www.coriolis.eu.org）中落入检测涡旋内部的Argo剖面得到。DYNED-Atlas-Med数据库提供了检测涡旋内外经深度插值的温度、盐度与密度剖面。此外，参照Pegliasco等2015年的研究方法（https://doi.org/10.1002/2015JC010950），研究人员从检测涡旋外部所有剖面的气候学平均值（±30天，不区分年份）中计算得到背景剖面。这些背景剖面可用于估算涡旋核心内的水文异常及其垂直延伸范围。