This five-day module is a combination of lectures, hands-on practicals using the Single Column Model, and group problem classes.

During the course each parametrized process is introduced and then discusses theory, modelling and verification over several sessions.

Processes considered

  • General aspects of parametrization and their relation to systematic forecast errors
  • Radiation in numerical weather prediction
  • The parametrization of moist processes (convection and clouds)
  • The planetary boundary layer
  • Land surface processes
  • Parametrization of subgrid-scale orographic effects
  • The middle atmosphere and non-orographic gravity waves
  • The representation of physical processes in data assimilation


Participants should have a good meteorological and mathematical background, and are expected to be familiar with the contents of standard meteorological and mathematical textbooks.

Introductory material not covered by the course can be found in our lecture note series.

Some practical experience in numerical weather prediction is an advantage.

All lectures will be given in English.