All Stories

  1. Assessing the Impact of Biased Target Variables on Machine Learning Models of Severe Hail

    Article • Weather and Forecasting, July 2025, American Meteorological Society

    Patrick Skinner, Montgomery L Flora

  2. WoFSCast: A Machine Learning Model for Predicting Thunderstorms at Watch‐to‐Warning Scales

    Article • Geophysical Research Letters, May 2025, American Geophysical Union (AGU)

    Montgomery L Flora

  3. WoFSCast: A machine learning model for predicting thunderstorms at watch-to-warning scales

    Article • September 2024, Wiley

    Montgomery L Flora

  4. Exploring the Usefulness of Machine Learning Severe Weather Guidance in the Warn-on-Forecast System: Results from the 2022 NOAA Hazardous Weather Testbed Spring Forecasting Experiment

    Article • Weather and Forecasting, July 2024, American Meteorological Society

    Montgomery L Flora

  5. A Machine Learning Explainability Tutorial for Atmospheric Sciences

    Article • Artificial Intelligence for the Earth Systems, January 2024, American Meteorological Society

    Montgomery L Flora

  6. New verification method for probabilistic forecasts of individual thunderstorms

    Article • Weather and Forecasting, September 2019, American Meteorological Society

    Patrick Skinner, Montgomery L Flora

  7. Predictability of Supercells in 0-3 hr ensemble forecasts.

    Article • Monthly Weather Review, August 2018, American Meteorological Society

    Montgomery L Flora

  8. Sensitivity of Supercell Simulations to Initial-Condition Resolution

    Article • Journal of the Atmospheric Sciences, January 2017, American Meteorological Society

    Montgomery L Flora

  9. Impact of grid resolution on short-term supercell thunderstorm forecasts

    Article • Monthly Weather Review, August 2015, American Meteorological Society

    Montgomery L Flora