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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Hauptverfasser:	Yongcheng Lin, Qinghua Yang, Xuewei Li, Xiaoran Dong, Hao Luo, Yafei Nie, Jiuke Wang, Yiguo Wang, Chao Min
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Wiley 2025-03-01
Schriftenreihe:	Journal of Geophysical Research: Machine Learning and Computation
Schlagworte:	machine learning sea ice prediction Antarctic sea ice ice‐kNN‐south
Online-Zugang:	https://doi.org/10.1029/2024JH000433
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