Correcting errors in seasonal Arctic sea ice prediction of Earth system models with machine learning
<p>While Earth system models are essential for seasonal Arctic sea ice prediction, they often exhibit significant errors that are challenging to correct. In this study, we integrate a multilayer perceptron (MLP) machine learning (ML) model into the Norwegian Climate Prediction Model (NorCPM) t...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2025-08-01
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| Series: | The Cryosphere |
| Online Access: | https://tc.copernicus.org/articles/19/3279/2025/tc-19-3279-2025.pdf |
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