Chun Shen

A Physics-Informed Neural Network Framework for Quasi-Steady Wind Retrieval From Doppler Lidar Observations

Accurate and rapid retrieval of quasi-steady wind fields is crucial to many operational applications, such as air traffic management. Classical three-dimensional variational methods (3DVAR) are widely used in such scenarios, but their grid-based optimization framework makes it challenging to balance accuracy and effici...