Machine Learning for Model Error Inference and Correction
Abstract Model error is one of the main obstacles to improved accuracy and reliability in numerical weather prediction (NWP) and climate prediction conducted with state‐of‐the‐art, comprehensive high‐resolution general circulation models. In a data assimilation framework, recent advances in the cont...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
American Geophysical Union (AGU)
2020-12-01
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| Series: | Journal of Advances in Modeling Earth Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1029/2020MS002232 |