ABSTRACT This commentary considers the recent explosion of models based on Deep Learning/Machine Learning methods in hydrological journals and how their application might better contribute to hydrological understanding in the face of epistemic uncertainties in an inexact science.
Keith Beven (Sun,) studied this question.