Distilling Machine Learning's Added Value: Pareto Fronts in Atmospheric Applications

Tom Beucler, Arthur Grundner, Sara Shamekh +3

The added value of machine learning for weather and climate applications is measurable through performance metrics, but explaining it remains challenging, particularly for large de…