Data Mining Tornadogenesis Precursors. - Greg Foss; Amy McGovern; Corey K. Potvin; Greg Abram; Anne Bowen; Neena Hulkoti; Arnav Kaul (EGPGV@EuroVis, 2016)

Spot the Difference: Tornado Visualizations. - Greg Foss; Amy McGovern; Corey K. Potvin; Brittany A. Dahl; Greg Abram; Anne Bowen; Neena Hulkoti; Arnav Kaul; Nick Sehy (PEARC, 2017)

PyDDA: A new Pythonic Wind Retrieval Package. - Robert Jackson; Scott M. Collis; Timothy Lang; Corey K. Potvin; Todd S. Munson (SciPy, 2019)

Using Machine Learning to Calibrate Storm-Scale Probabilistic Guidance of Severe Weather Hazards in the Warn-on-Forecast System. - Montgomery Flora; Corey K. Potvin; Patrick S. Skinner; Shawn Handler; Amy McGovern (CoRR, 2020)

Comparing Explanation Methods for Traditional Machine Learning Models Part 1: An Overview of Current Methods and Quantifying Their Disagreement. - Montgomery Flora; Corey K. Potvin; Amy McGovern; Shawn Handler (CoRR, 2022)

Comparing Explanation Methods for Traditional Machine Learning Models Part 2: Quantifying Model Explainability Faithfulness and Improvements with Dimensionality Reduction. - Montgomery Flora; Corey K. Potvin; Amy McGovern; Shawn Handler (CoRR, 2022)

Machine Learning Estimation of Maximum Vertical Velocity from Radar. - Randy J. Chase; Amy McGovern; Cameron Homeyer; Peter Marinescu; Corey K. Potvin (CoRR, 2023)

Pixels and Predictions: Potential of GPT-4V in Meteorological Imagery Analysis and Forecast Communication. - John R. Lawson; Montgomery Flora; Kevin H. Goebbert; Seth N. Lyman; Corey K. Potvin; David M. Schultz; Adam J. Stepánek; Joseph E. Trujillo-Falcón (CoRR, 2024)

HRRRCast: a data-driven emulator for regional weather forecasting at convection allowing scales. - Daniel S. Abdi; Isidora Jankov; Paul Madden; Vanderlei Vargas; Timothy A. Smith; Sergey Frolov; Montgomery Flora; Corey K. Potvin (CoRR, 2025)