Explores the parameterization of atmospheric processes, including microphysics, turbulence, radiation, convection, and surface processes, to improve forecast accuracy and quantify uncertainties.
Explores predictive consistency in sequential forecasting systems, emphasizing the utility of prediction over estimation and the significance of prequential approaches.
