Learning Variational Data Assimilation Models and Solvers
Abstract Data assimilation is a key component of operational systems and scientific studies for the understanding, modeling, forecasting and reconstruction of earth systems informed by observation data. Here, we investigate how physics‐informed deep learning may provide new means to revisit data ass...
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| Glavni autori: | , , , , , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
American Geophysical Union (AGU)
2021-10-01
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| Serija: | Journal of Advances in Modeling Earth Systems |
| Teme: | |
| Online pristup: | https://doi.org/10.1029/2021MS002572 |
| Oznake: |
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