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    <identifier>10.11922/sciencedb.o00035.00004</identifier>
    <datestamp>2024-02-29T14:32:22Z</datestamp>
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  <dc:date>2024-02-29</dc:date>
  <dc:title>29 years (1993-2021) of global eddy dataset from SEIA</dc:title>
  <dc:identifier>doi:10.11922/sciencedb.o00035.00004</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>Twenty-nine years of global eddy product from 1993 to 2021 is generated from a scale-selective eddy identification algorithm (SEIA) based on closed sea level anomalies (SLAs) dataset from the French Archiving, Validation, and Interpretation of Satellite Oceanographic Data (AVISO) project. SEIA features two improvements in the detection and tracking processes over earlier algorithms. First, based on the data resolution and eddy spatial scale, the scale-selective scheme replaces the previously used threshold for defining the eddy boundary and restricts the numbers of upper and lower grid points. The eddy boundary is as large as possible under such conditions, yet the eddy region is not overestimated. Furthermore, a novel and effective overlap scheme is used to track eddies by calculating the intersecting ratio of time-step-successive eddies. SEIA generates about 1.6 million anticyclonic eddies and 1.5 million cyclonic eddies over 29 years for both the north and south hemispheres. SEIA runs on the MATLAB and outputs series of eddies as mat files with information of eddy existing time, boundary, radius and so on.</dc:description>
  <dc:subject>eddy identification; sea level anomaly; detection and tracking ; scale-selective; overlap scheme</dc:subject>
  <dc:creator>Yikai Yang</dc:creator>
  <dc:creator>Lili Zeng</dc:creator>
  <dc:creator>Qiang Wang</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:relation>http://www.doi.org/https://doi.org/10.1007/s00382-023-06946-w</dc:relation>
  <dc:publisher>Science Data Bank</dc:publisher>
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