Ice‐kNN‐South: A Lightweight Machine Learning Model for Antarctic Sea Ice Prediction

Abstract Accurately predicting Antarctic sea ice on a subseasonal‐to‐seasonal scale remains a challenge for current numerical models, partly due to imperfect model parameterizations and the extensive computational resources required. Here, we have developed a lightweight machine learning model, Ice‐...

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الحاوية / القاعدة:	Journal of Geophysical Research: Machine Learning and Computation
المؤلفون الرئيسيون:	Yongcheng Lin, Qinghua Yang, Xuewei Li, Xiaoran Dong, Hao Luo, Yafei Nie, Jiuke Wang, Yiguo Wang, Chao Min
التنسيق:	مقال
اللغة:	الإنجليزية
منشور في:	Wiley 2025-03-01
الموضوعات:	machine learning sea ice prediction Antarctic sea ice ice‐kNN‐south
الوصول للمادة أونلاين:	https://doi.org/10.1029/2024JH000433