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Tuning parameters of a sea ice model using machine learning

<p>We developed a new method for tuning sea ice rheology parameters, which consists of two components: a new metric for characterising sea ice deformation patterns and a machine learning (ML)-based approach for tuning rheology parameters. We applied the new method to tune the brittle Bingham–Maxwell...

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Gorde:
Xehetasun bibliografikoak
Egile Nagusiak: A. Korosov, Y. Ying, E. Ólason
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: Copernicus Publications 2025-02-01
Saila:Geoscientific Model Development
Sarrera elektronikoa:https://gmd.copernicus.org/articles/18/885/2025/gmd-18-885-2025.pdf
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