Litcius/Paper detail

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

Clare Eayrs, Won Sang Lee, Emilia Kyung Jin, Jean‐François Lemieux, François Massonnet, Martin Vancoppenolle, Lorenzo Zampieri, Luke G. Bennetts, Ed Blockley, Eui‐Seok Chung, Alexander Fraser, Yoo‐Geun Ham, Jungho Im, Baek‐Min Kim, B. M. Kim, J.-H. 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

2024Bulletin of the American Meteorological Society11 citationsDOIOpen Access PDF

Abstract

International audience

Topics & Concepts

ReuseLicenseVariety (cybernetics)Computer scienceWorld Wide WebData scienceMeteorologyOceanographyArtificial intelligenceEngineeringGeologyGeographyOperating systemWaste managementArctic and Antarctic ice dynamicsCryospheric studies and observationsMethane Hydrates and Related Phenomena