Ice‐kNN‐South: A Lightweight Machine Learning Model for Antarctic Sea Ice Prediction
Abstract Accurately predicting Antarctic sea ice on a subseasonal‐to‐seasonal scale remains a challenge for current numerical models, partly due to imperfect model parameterizations and the extensive computational resources required. Here, we have developed a lightweight machine learning model, Ice‐...
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| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-03-01
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| Series: | Journal of Geophysical Research: Machine Learning and Computation |
| Subjects: | |
| Online Access: | https://doi.org/10.1029/2024JH000433 |
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