A43B-3257:
Influence of the turbulence and convection parameterization on convective initiation in kilometer-scale simulations
Abstract:
The next generation of numerical weather prediction models will run with a grid spacing of about 1 kilometer. Deep convection is coarsely resolved at this grid spacing, but shallow clouds and boundary layer turbulence are too small to be resolved. Previous experience at MeteoSwiss and other institutions has shown significant biases at this resolution: shallow clouds tend to be underrepresented and a too sudden onset of deep convection occurs.We use idealized simulations to investigate the ability of a kilometer-scale NWP model (COSMO) to accurately represent the
In order to represent non-precipitating shallow convection, the use of a subgrid-scale convection scheme is necessary in the kilometer-scale simulations. The standard convection scheme in COSMO captures the onset of clouds, but the liquid water content and mass-flux near cloud top are overestimated. This behavior can be improved, however, with modifications in the closure, convective triggering and the entrainment/detrainment formulation.
The kilometer-scale model performs surprisingly similar to LES simulations for phenomena which it only coarsely resolves, such as convective cold pools, slope flows and marginally resolved updrafts. We further discuss the effect of the horizontal mixing formulation and turbulence parameterization on e.g. the mass-flux, the strength of updrafts and the precipitation rate.