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

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-03
DOI
https://doi.org/10.5281/zenodo.17049937
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

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

article en

Abstract

No abstract available for this paper.
Zenodo (CERN European Organization for Nuclear Research)
Sun Yat-sen University (CN)
Life below water
Openalex Percentile: Top 55%
Geochemistry and Geologic Mapping
DOIOpen Access PDFOpenAlex
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Incorporating Subsurface Oceanic Variables Improves Seasonal Antarctic Sea Ice Prediction with Neural Networks · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS