Rochelle P. Worsnop

Extended-Range Probabilistic Fire-Weather Forecasting Based on Ensemble Model Output Statistics and Ensemble Copula Coupling

Thomas M. Hamill, Michael Scheuerer, Rochelle P. Worsnop, 2020, Monthly Weather Review.

Generating wind power scenarios for probabilistic ramp event prediction using multivariate statistical post-processing

Rochelle P. Worsnop, T. Hamill, J. Lundquist, 2018, Wind Energy Science.

Using Artificial Neural Networks for Generating Probabilistic Subseasonal Precipitation Forecasts over California

Thomas M. Hamill, Michael Scheuerer, Rochelle P. Worsnop, 2020, Monthly Weather Review.

Probabilistic fire-danger forecasting: A framework for week-two forecasts using statistical post-processing techniques and the Global ECMWF Fire Forecast System (GEFF)

Thomas M. Hamill, Michael Scheuerer, Claudia Vitolo, 2021, Weather and Forecasting.

Assessing state-of-the-art capabilities for probing the atmospheric boundary layer: The XPIA field campaign

Ruben Delgado, Armita Hamidi, Giacomo Valerio Iungo, 2016 .

Using Large-Eddy Simulations to Define Spectral and Coherence Characteristics of the Hurricane Boundary Layer for Wind-Energy Applications

Jun A. Zhang, Julie K. Lundquist, George H. Bryan, 2017, Boundary-Layer Meteorology.