Stable machine-learning parameterization of subgrid processes for climate modeling at a range of resolutions
Global climate models represent small-scale processes such as convection using subgrid models known as parameterizations, and these parameterizations contribute substantially to uncertainty in climate projections. Machine learning of new parameterizations from high-resolution model output is a promi...
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| Format: | Article |
| Language: | English |
| Published: |
Springer Science and Business Media LLC,
2020-08-13T20:41:19Z.
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| Subjects: | |
| Online Access: | Get fulltext |