Close window
Close window
This section of the new site isn't ready yet. We've brought you back to the current site.

Moist Atmospheric Convection

Deep convective cloud – cumulonimbus – reaches the tropopause and spreads out.

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 Forecast model development and diagnostics and Global Modelling.

We are also involved in high-resolution modelling through the 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 

Last updated:

Follow us on

Facebook, Twitter, YouTube, Instagram, Snapchat, or LinkedIn Facebook Follow @metoffice on Twitter YouTube Instagram Snapchat LinkedIn