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 |