Using the Plant-Craig stochastic convective parameterization in an ensemble forecast system
We have implemented the Plant-Craig (PC) stochastic convection scheme into the limited-area COSMO (Consortium for Small-scale Modeling) model. We have run the model with initial and boundary conditions provided by selected members of the ECMWF Ensemble Prediction System (EPS). This allows us to compare how much ensemble spread is introduced to the ensemble by the stochastic scheme relative to that already present. A stochastic parameterization, like the PC-scheme, takes into account the fact that the intensity of unresolved convection is not merely determined by resolved-scale parameters, but also by unresolved physics. To this aim, the PC-scheme, being based on statistical physics, uses convective plumes that are randomly drawn from a probability density function that describe the chance of launching a plume with a certain mass flux each time the scheme is called.