Publications

Aaron Hill, Russ S. Schumacher, Mitchell R. Green (2024). Observation Definitions and their Implications in Machine Learning-based Predictions of Excessive Rainfall. Weather and Forecasting, in review..

Alexandra C. Mazurek, Aaron Hill, Russ S. Schumacher, Hanna J. McDaniel (2024). Can Ingredients-Based Forecasting be Learned? Disentangling a Random Forest's Severe Weather Predictions. Weather and Forecasting, in review..

Aaron Hill, Russ S. Schumacher, Israel L. Jirak (2023). A New Paradigm for Medium-Range Severe Weather Forecasts: Probabilistic Random Forest–Based Predictions. Weather and Forecasting, 38, 251-272.

Cite Slides DOI

Aaron Hill, C. C. Weiss, D. C. Dowell (2021). Influence of a portable near-surface observing network on experimental ensemble forecasts of deep convection hazards during VORTEX-SE. Weather and Forecasting, 36, 1141-1167.

Aaron Hill, Russ S. Schumacher (2021). Forecasting excessive rainfall with random forests and a deterministic convection-allowing model. Weather and Forecasting, 36, 1693-1711.

Cite Slides DOI

Russ S. Schumacher, Aaron Hill, Mark Klein, Jim Nelson, Michael Erickson, Sarah M. Trojniak, Greg R. Herman (2021). From random forests to flood forecasts: A research to operations success story. Bulletin of the American Meteorological Society.

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Aaron Hill, G. R. Herman, R. S. Schumacher (2020). Forecasting severe weather with random forests. Monthly Weather Review, 148, 2135-2161.

Aaron Hill, C. C. Weiss, B. C. Ancell (2020). Factors influencing ensemble sensitivity-based targeted observing prediction at convection-allowing resolutions. Monthly Weather Review, 148, 4487-4517.

Aaron Hill, C. C. Weiss, B. C. Ancell (2016). Ensemble sensitivity analysis for mesoscale forecasts of dryline convection initiation. Monthly Weather Review, 144, 4161-4182.

Aaron Hill, V. E. Toma, M. D. Zuluaga, P. J. Webster (2014). Multiscale analysis of three consecutive years of anomalous flooding in Pakistan. Quart. J. Roy. Meteor. Soc., 141, 1259-1276.