subject

Numerical Prediction

lecturers

Szépszó Gabriella

credits

3+0=3

period

3

curriculum

History of the numerical prediction, principles of the theory of numerical methods, possibilities for approximate solutions of ordinary and partial differential equations, functions of meteorological state variables, properties of the fields of state variables, possibilities for the application of finite difference schemes, spectral solutions of the governing equations of atmospheric motions, stability of approximate solutions.

literature

Eugene Kalnay, 2003: Atmospheric Modeling, Data Assimilation and Predictability, Cambridge University Press, 341 p.

form of tuition

lectures

mode of assessment

oral exam

 

 

 

subject

Fundamentals of numerical Prediction

lecturers

Szépszó Gabriella

credits

2+0=2

period

4

curriculum

Steps of the numerical weather prediction, data assimilation methods: optimal interpolation, digital filtering, four-dimensional variational method, initial value problem, techniques of numerical integration, global, hemispheric and limited area models, parameterization techniques, filtered and primitive equation models, examples for operative weather prediction models, properties of numerical models used at the Hungarian Meteorological Service.

literature

Eugene Kalnay, 2003: Atmospheric Modeling, Data Assimilation and Predictability, Cambridge University Press, 341 p.

form of tuition

lectures

mode of assessment

oral exam