SUBJECT
Numerical modeling 1
lecture
master
3
Semester 3
Autumn semester
The course introduces the theoretical and practical background of numerical methods used in meteorological (weather prediction and climate) modeling. Particularly, the special characteristics of the models applied for different time scales are discussed: discretization methods for spatial and temporal derivatives of the primitive equations (finite difference and Galerkin methods), stability issues, semi-implicit and semi-Lagrangian methods, data assimilation techniques (optimal interpolation, variational and ensemble data assimilation), ensemble approach (perturbation generation, representation of model errors), basics of physical parameterizations, special features of different forecasts from short-range to climate time scale.
Kalnay, E., 2003: Atmospheric Modeling, Data Assimilation and Predictability. Cambridge University Press, 341 p.