Characteristics of Global Ocean Abnormal Mesoscale Eddies Derived From the Fusion of Sea Surface Height and Temperature Data by Deep Learning-Reference-Cited by-同舟云学术

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

Published:2021-09-06 Issue:17 Volume:48 Page:
ISSN:0094-8276
Container-title:Geophysical Research Letters
language:en
Short-container-title:Geophys Res Lett

Author:

Liu Yingjie¹²^ORCID,Zheng Quanan³^ORCID,Li Xiaofeng¹²^ORCID

Affiliation:

1. CAS Key Laboratory of Ocean Circulation and Waves Institute of Oceanology Chinese Academy of Sciences Qingdao China

2. Center for Ocean Mega‐Science Chinese Academy of Sciences Qingdao China

3. Department of Atmospheric and Oceanic Science University of Maryland College Park MD USA

Funder

Chinese Academy of Sciences

Publisher

American Geophysical Union (AGU)

Subject

General Earth and Planetary Sciences,Geophysics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2021GL094772

Reference60 articles.

1. An Index to Distinguish Surface- and Subsurface-Intensified Vortices from Surface Observations

2. Atmospheric Response to Mesoscale Sea Surface Temperature Anomalies: Assessment of Mechanisms and Coupling Strength in a High-Resolution Coupled Model over the South Atlantic*

3. Identification of eddies from sea surface temperature maps with neural networks

4. The Influence of Nonlinear Mesoscale Eddies on Near-Surface Oceanic Chlorophyll

5. Global observations of nonlinear mesoscale eddies

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