Speaker: McKenna W. Stanford (Univ. Utah)
Topic: Stochastic parameterization in kilometer-scale deep convection simulations

Simulations of deep moist convection (DMC) at kilometer-scale horizontal grid spacings (Delta_h ~ 1-4 km) are known to be highly sensitive to subgrid-scale parameterizations. Sources of uncertainty within these parameterizations partially result from the use of empirical or theoretical parameters that are assumed to be constant, but impacts of parameter spatiotemporal variability remain largely unknown. This study addresses this knowledge gap by implementing and evaluating a stochastic framework within a (1) microphysics and (2) turbulent mixing scheme in the Weather Research and Forecasting (WRF) model.