Deep Learning to Estimate Model Biases in an Operational NWP Assimilation System
Abstract Model bias is one of the main obstacles to improved accuracy and reliability in numerical weather prediction conducted with state‐of‐the‐art atmospheric models. To deal with model bias, a modification of the standard four‐dimensional variational (4D‐Var) algorithm, called weak‐constraint 4D...
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| Hauptverfasser: | , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
American Geophysical Union (AGU)
2022-06-01
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| Schriftenreihe: | Journal of Advances in Modeling Earth Systems |
| Schlagworte: | |
| Online-Zugang: | https://doi.org/10.1029/2022MS003016 |
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