Moist Atmospheric Convection

Statistical representation ("parametrization") of convective clouds, their precipitation, phase changes and transports of heat, water and momentum is a critical component of weather and climate prediction.

The APP convection group conducts research and development in convection parametrization as well as owning and maintaining the Unified Model convection code. Currently we are evaluating different approaches to convection parametrization and specifically a new turbulence-based approach. This involves both a warm scheme for shallow and congestus clouds, and a deep convection scheme suitable for glaciated convection. At the same time we are working to improve incrementally the existing mass-flux scheme. All this work is in partnership with groups responsible for Unified Model assessment in weather and Global Modelling.

We are also involved in high-resolution modelling through the External link icon Cascade project (collaborative with universities).

Key aims

  • Incremental improvement of our mass-flux convection scheme

  • Evaluation of new approaches to convection parametrization

  • Research on stochastic physics 

Current projects

  • Improvements to convective diurnal cycle

  • Testing of a turbulence-based convection scheme, including both warm

    clouds (shallow cumulus/congestus) and deep convection components

  • Assessment of stochastic physics development and strategy

Last updated: 25 September 2013