Simultaneously detecting the intensity and position of Southwestern Atlantic Ocean Frontal Zones from satellite-derived SST by a multi-task deep learning model

Simultaneously detecting the intensity and position of Southwestern Atlantic Ocean Frontal Zones from satellite-derived SST by a multi-task deep learning model

Accurate detection of the Southwestern Atlantic Frontal Zones (SAFZ) requires high-precision detection of both its intensity and position, which is essential for understanding climate change and the thermohaline balance of the global ocean. The intensity of Frontal Zones (FZ) serves as the foundatio...

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Bibliographic Details
Main Authors: Zhi Wang, Guangyu Yang, Yanchen Guo, Zhenkuan Pan, Ge Chen, Chunyong Ma
Format: Article
Language:English
Published: IOP Publishing 2025-01-01
Series:Environmental Research Communications
Subjects:
Southwestern Atlantic Ocean
frontal zones
detection methods
multi-task learning
Online Access:https://doi.org/10.1088/2515-7620/adf313
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