SICFormer: A 3D-Swin Transformer for Sea Ice Concentration Prediction

SICFormer: A 3D-Swin Transformer for Sea Ice Concentration Prediction

Sea ice concentration (SIC) is an important dimension for characterising the geographical features of the pan-Arctic region. Trends in SIC bring new opportunities for human activities in the Arctic region. In this paper, we propose a deep learning technology-based sea ice concentration prediction mo...

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Bibliographic Details
Main Authors: Zhuoqing Jiang, Bing Guo, Huihui Zhao, Yangming Jiang, Yi Sun
Format: Article
Language:English
Published: MDPI AG 2024-08-01
Series:Journal of Marine Science and Engineering
Subjects:
spatiotemporal prediction
3D-Swin Transformer
sea ice concentration
attention mechanisms
Online Access:https://www.mdpi.com/2077-1312/12/8/1424

Internet

https://www.mdpi.com/2077-1312/12/8/1424

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