Comment on amt-2021-123

Abstract

The paper „The University of Washington Ice-Liquid Discriminator (UWILD) improves single particle phase classifications of hydrometeors within Southern Ocean clouds using machine learning” by Atlas et al. introduces a random forest algorithm referred to as UWILD for the discrimination of ice and water particles recorded with a 2D-S. It is shown that UWILD outperforms two other existing classification algorithms and the strengths but also weaknesses of the algorithm are discussed in detail. Accurate phase discrimination is important to draw conclusions from measurements on research questions. I support publishing this paper in AMT and only have a few comments, which should be addressed before the final publication