Some important documents:
Suggested readings:
- Gravity wave drag estimation from global analyses using variational data assimilation principles. I: Theory and implementation; Pulido & Thuburn 2005-- 4DVAR for GW drag
- Physics-informed machine learning: case studies for weather and climate modelling-- Review paper; Kashinath et. al. 2021
- Deep Lagrangian Networks: Using Physics as Model Prior for Deep Learning; Lutter, Ritter, Peters, (preprint 2019)
- Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations; Raissi, Perkikaris, Karniadakis 2019