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Incorporating Subsurface Oceanic Variables Improves Seasonal Antarctic Sea Ice Prediction with Neural Networks

Year: 2025

Type: article

Abstract: The scripts used to produce the figures in this paper.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.17049936

Author: Dong, Xiaoran

Institution: Sun Yat-sen University

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: W7079693202

FWCI: 0.448

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Cited by: 1

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