If learning is successful in the sense of (6a), it follows that f (x, t) = f ′ (t), i.e., the learned model does not depend on the meteorological descriptors. In such a setting, meteorological normalization becomes obsolete. Also this setting is quite unlikely, as descriptors that are not directly connected to the response (as X in this case) will rarely be the subject of study.