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Articles | Volume 18, issue 9
https://doi.org/10.5194/gmd-18-2665-2025
https://doi.org/10.5194/gmd-18-2665-2025
Development and technical paper
 | 
14 May 2025
Development and technical paper |  | 14 May 2025

SICNetseason V1.0: a transformer-based deep learning model for seasonal Arctic sea ice prediction by incorporating sea ice thickness data

Yibin Ren, Xiaofeng Li, and Yunhe Wang

Data sets

renyibin-iocas/SICNetseason: SICNetseason code and input/output data renyibin-iocas https://doi.org/10.5281/zenodo.14561423

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Short summary
This study developed a transformer-based deep learning model to predict the Arctic sea ice...
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