Hybrid AWT

2000년 도입 · 논문 2편에서 사용

The hybrid model couples existing macro-meteorological models developed for similar microclimates along with some minimal amount of locally-acquired meteorological and $C_n^2$ data. The hybrid model framework consists of two components, a baseline macro-meteorological model and a machine learning model trained on that baseline macro-meteorological model’s residual error over the locally-acquired training measurements.

출처: Hybrid Optical Turbulence Models Using Machine Learning and Local Measurements

소개 논문: Hybrid Optical Turbulence Models Using Machine Learning and Local Measurements