Stable machine-learning parameterization of subgrid processes for climate modeling at a range of resolutions
Machine learning has been used to represent small-scale processes, such as clouds, in atmospheric models but this can lead to instability in simulations of climate. Here, the authors demonstrate a use of machine learning in an atmospheric model that leads to stable simulations of climate at a range...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | article |
| Language: | EN |
| Published: |
Nature Portfolio
2020
|
| Subjects: | |
| Online Access: | https://doaj.org/article/ecda3df6d70848f78f335430e31079e4 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|