Statistical Postprocessing of Different Variables for Airports in Spain Using Machine Learning

<div>T2m calibration plot for Madrid airport. Horizontal axis, from left to right: ridge, lasso, elastic net, Bayesian ridge, random forest regression, gradient boosting regression, XGBoost regression, AdaBoost regression, polynomial of order 2, and feedforward neural network.</div>

Advances in Meteorology

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Figure 3

Figure 3: Statistical Postprocessing of Different Variables for Airports in Spain Using Machine Learning 