Unicorn: U-Net for Sea Ice Forecasting with Convolutional Neural Ordinary Differential Equations

Sea ice at the North Pole is vital to global climate dynamics. However, accurately forecasting sea ice poses a significant challenge due to the intricate interaction among multiple variables. Leveraging the capability to integrate multiple inputs and powerful performances seamlessly, many studies have turned to neural networks for sea ice forecasting.

Data and Resources

Cite this as

Jaesung Park, Sungchul Hong, Yoonseo Cho, Jong-June Jeon (2024). Dataset: Unicorn: U-Net for Sea Ice Forecasting with Convolutional Neural Ordinary Differential Equations. https://doi.org/10.57702/0125i72t

DOI retrieved: December 3, 2024

Additional Info

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Created December 3, 2024
Last update December 3, 2024
Author Jaesung Park
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Sungchul Hong
Yoonseo Cho
Jong-June Jeon
Homepage https://anonymous.4open.science/r/unicorn-461B