Towards physics-inspired data-driven weather forecasting: integrating data assimilation with a deep spatial-transformer-based U-NET in a case study with ERA5
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- Towards physics-inspired data-driven weather forecasting: integrating data assimilation with a deep spatial-transformer-based U-NET in a case study with ERA5 A. Chattopadhyay et al. 10.5194/gmd-15-2221-2022
- BAMCAFE: A Bayesian machine learning advanced forecast ensemble method for complex turbulent systems with partial observations N. Chen & Y. Li 10.1063/5.0062028
Latest update: 27 Nov 2023