Characteristics of Global Ocean Abnormal Mesoscale Eddies Derived From the Fusion of Sea Surface Height and Temperature Data by Deep Learning

Recent satellite sea surface height (SSH) and sea surface temperature (SST) observations have shown that abnormal eddies, that is, warm cyclonic eddies and cold anticyclonic eddies occur sporadically in some regions, which triggers an essential question on the spatiotemporal distribution of abnormal...

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Bibliographic Details
Published in:Geophysical Research Letters
Main Authors: Liu, Yingjie, Zheng, Quanan, Li, Xiaofeng
Format: Report
Language:English
Published: AMER GEOPHYSICAL UNION 2021
Subjects:
meososcale eddies
abnormal eddies
multi-source remote sensing data
deep learning
data fusion
statistical analysis of spatiotemporal characteristics
Geology
Geosciences
Multidisciplinary
COLD ANTICYCLONIC EDDIES
ATLANTIC-OCEAN
ARCTIC-OCEAN
HEAT FLUXES
EDDY
WATER
VARIABILITY
CIRCULATION
SIGNATURE
REGION
Arctic
Arctic Ocean
Online Access:http://ir.qdio.ac.cn/handle/337002/176360
https://doi.org/10.1029/2021GL094772
Description
Summary:Recent satellite sea surface height (SSH) and sea surface temperature (SST) observations have shown that abnormal eddies, that is, warm cyclonic eddies and cold anticyclonic eddies occur sporadically in some regions, which triggers an essential question on the spatiotemporal distribution of abnormal eddies in the global ocean. In this study, a deep learning framework was developed to systematically mine information from the synergy of satellite-sensed global SSH and SST data over the 1996-2015, 20-year period. Abnormal eddies account for a surprising one-third of total eddies and are active along the Equatorial Current and high unstable currents. Normal (abnormal) eddies are stronger in winter (summer) in the North Hemisphere and vice versa in the Southern Hemisphere. The annual mean amplitudes of normal eddies are larger than that of abnormal eddies. Crucially, the daily number of normal (abnormal) eddies increased (decreased) 9.68 (11.80) every year.

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