Work

Ice-kNN-South: a lightweight machine learning model for Antarctic sea ice prediction

Year: 2024

Type: article

Abstract: The verification files for the models expounded in the paper, along with the requisite supporting documents.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.13144174

Authors: Lin, Yongcheng, Yang, Qinghua, Li, Xuewei, Dong, Xiaoran, Luo, Hao, Nie, Yafei, Wang, Jiuke, Wang, Yiguo, Min, Chao

Institutions: Sun Yat-sen University, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Dalian University of Technology, State Key Laboratory of Coastal and Offshore Engineering, Bjerknes Centre for Climate Research, Nansen Environmental and Remote Sensing Center

Language: English

Topic: Arctic and Antarctic ice dynamics

Subfield: Atmospheric Science

Field: Earth and Planetary Sciences

Domain: Physical Sciences

SDG: Climate action

Open Access status: green

OpenAlex ID: W6911728380

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