Non-Parametric Regression
Hybrid Air-Water Temperature Difference
Introduced by Jellen et al. in Hybrid Optical Turbulence Models Using Machine Learning and Local MeasurementsThe 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.
Source: Hybrid Optical Turbulence Models Using Machine Learning and Local MeasurementsPapers
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