Advances in Machine Learning Techniques Can Assist Across a Variety of Stages in Sea Ice Applications

contributor author	Eayrs, Clare
contributor author	Lee, Won Sang
contributor author	Jin, Emilia
contributor author	Lemieux, Jean-François
contributor author	Massonnet, François
contributor author	Vancoppenolle, Martin
contributor author	Zampieri, Lorenzo
contributor author	Bennetts, Luke G.
contributor author	Blockley, Ed
contributor author	Chung, Eui-Seok
contributor author	Fraser, Alexander D.
contributor author	Ham, Yoo-geun
contributor author	Im, Jungho
contributor author	Kim, Baek-min
contributor author	Kim, Beong-H
date accessioned	2024-12-24T14:42:17Z
date available	2024-12-24T14:42:17Z
date copyright	01 Mar. 2024
date issued	2024
identifier other	bams-BAMS-D-23-0332.1.pdf
identifier uri	http://yetl.yabesh.ir/yetl1/handle/yetl/4301195
language	English
publisher	American Meteorological Society
title	Advances in Machine Learning Techniques Can Assist Across a Variety of Stages in Sea Ice Applications
type	Journal Paper
journal volume	105
journal issue	3
journal title	Bulletin of the American Meteorological Society
identifier doi	10.1175/BAMS-D-23-0332.1
journal fristpage	E527
journal lastpage	E531
tree	Bulletin of the American Meteorological Society:;2024:;volume( 105 ):;issue: 003
contenttype	Fulltext

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