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
2025-11-25
DOI
https://doi.org/10.5281/zenodo.17049936
Citations
1
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
2.48
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article

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

1 citations
Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
2.48
article

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

article en
1 citations

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 7%
Geochemistry and Geologic Mapping
2.48
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