ASTMEN: an adaptive spatiotemporal and multi-element fusion network for ocean surface currents forecasting

ASTMEN: an adaptive spatiotemporal and multi-element fusion network for ocean surface currents forecasting

Accurate forecasting of ocean surface currents is crucial for the planning of marine activities, including fisheries, shipping, and pollution control. Previous studies have often neglected the consideration of spatiotemporal correlations and interdependencies among ocean elements, leading to subopti...

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Bibliographic Details
Main Authors: Xin Li, Fusheng Wang, Tao Song, Fan Meng, Xiaofei Zhao
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-12-01
Series:Frontiers in Marine Science
Subjects:
ocean surface currents forecasting
adaptive information fusion
Swin transformer
long short-term memory
spatiotemporal series analysis
Online Access:https://www.frontiersin.org/articles/10.3389/fmars.2023.1281387/full

Internet

https://www.frontiersin.org/articles/10.3389/fmars.2023.1281387/full

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