Left-moving (LM) supercell storms produce high-impact weather, especially damaging hail. This project will use a LM dataset combined with a new polarimetric analysis algorithm and new machine-learning based environmental analysis method to examine: (i) The climatology of LM supercell storms including quantification of how often and where specific environmental clusters occur, and how these relate to the morphology of LM storms; (ii) Radar structure, morphology, and microphysics of LM supercell storms; (iii) Severe weather outcomes of LM supercell storms including hail, wind, and tornado magnitude, including corresponding radar signature precursors. This work is a collaborative project with the University of Nebraska-Lincoln.