Using Machine Learning to Parameterize Moist Convection: Potential for Modeling of Climate, Climate Change, and Extreme Events
©2018. The Authors. The parameterization of moist convection contributes to uncertainty in climate modeling and numerical weather prediction. Machine learning (ML) can be used to learn new parameterizations directly from high-resolution model output, but it remains poorly understood how such paramet...
| Format: | Article |
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| Language: | English |
| Published: |
American Geophysical Union (AGU)
2021
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| Online Access: | https://hdl.handle.net/1721.1/132185 |