Abstract
Smaller mesoscale eddies (SMEs) have an important effect on the transmission of ocean temperatures, salinity, energy, and marine biochemical processes. However, traditional altimeters, the dominant sensors used to identify and track eddies, have made it challenging to observe SMEs accurately due to resolution limitations. Eddies drive local upwelling or downwelling, leaving signatures on sea surface temperatures (SSTs) and chlorophyll concentrations (Chls). SST can be observed by spaceborne infrared sensors, and Chl can be measured by ocean color remote sensing. Therefore, multisatellite observations provide an opportunity to obtain information to characterize SMEs. In this paper, an eddy detection algorithm based on SST and Chl images is proposed, which identifies eddies by characterizing the spatial and temporal distribution of SST and Chl data. The algorithm is applied to characterize and analyze SMEs in the Kuroshio Extension. Statistical results on their distribution and seasonal variability are shown, and the formation processes are preliminarily discussed. SMEs generation may be contributed by horizontal strain instability, the interaction of topographic obstacles and currents, and wind stress curl.
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The Marine S&T Fund of Shandong Province for Pilot National Laboratory for Marine Science and Technology (Qingdao) under contract Nos 2022QNLM050301-4 and 2021WHZZB1705; the National Natural Science Foundation of China under contract Nos 41527901 and 42030406; the National Key R&D Program of China under contract No. 2019YFD0901001.
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Yu, F., Wang, M., Qian, S. et al. Multisatellite observations of smaller mesoscale eddy generation in the Kuroshio Extension. Acta Oceanol. Sin. 41, 137–148 (2022). https://doi.org/10.1007/s13131-022-1996-2
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DOI: https://doi.org/10.1007/s13131-022-1996-2