Advances in Machine Learning Techniques Can Assist Across a Variety of Stages in Sea Ice Applications
Clare Eayrs,Won Sang Lee, Emilia Jin,Jean-Francois Lemieux,Francois Massonnet,Martin Vancoppenolle,Lorenzo Zampieri,Luke G. Bennetts, Ed Blockley,Eui-Seok Chung, Alexander D. Fraser,Yoo-geun Ham,Jungho Im,Baek-min Kim, Beong-Hoon Kim, Jinsuk Kim,Joo-Hong Kim,Seong-Joong Kim,Seung Hee Kim,Anton Korosov,Choon-Ki Lee, Donghyuck Lee, Hyun-Ju Lee,Jeong-Gil Lee, Jiyeon Lee, Jisung Na,In -woo Park, Jikang Park, Xianwei Wang,Shiming Xu,Sukyoung Yun BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY（2024）
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Antarctica,Arctic,Sea ice,Forecasting,Artificial intelligence,Machine learning
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