Benchmarking of Machine Learning Ocean Subgrid Parameterizations in an Idealized Model
Abstract Recently, a growing number of studies have used machine learning (ML) models to parameterize computationally intensive subgrid‐scale processes in ocean models. Such studies typically train ML models with filtered and coarse‐grained high‐resolution data and evaluate their predictive performa...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
American Geophysical Union (AGU)
2023-01-01
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| Series: | Journal of Advances in Modeling Earth Systems |
| Online Access: | https://doi.org/10.1029/2022MS003258 |