SUBJECT
Title
Numerical modeling 2
Type of instruction
practical
Level
master
Faculty
Part of degree program
Credits
2
Recommended in
Semester 4
Typically offered in
Spring semester
Course description
Objective of the course is to understand the key topics of the preceding semester (e.g., data assimilation, ensemble predictions on short-range and climate time scale, lateral boundary conditions) in depth. It is expected for the students to work in small groups: they elaborate theoretical background of the chosen topic based on selected articles, and conduct some practical experiments using short-range numerical models available for educational purpose. The work is helped and supervised by experienced NWP practitioners. The course is completed with students’ presentations in which they discuss the investigated issues and the underlying results of the accomplished simulations.
Readings
- Kalnay, E., 2003: Atmospheric Modeling, Data Assimilation and Predictability. Cambridge University Press, 341 p.
- Bouttier, F., Courtier, P., 2002: Data assimilation concepts and methods. ECMWF Training Course Lecture Series.
- McDonald, A., 1997: Lateral Boundary Conditions for Operational Regional Forecast Models: A Review. Hirlam Technical Report 32.
- Wilks, D. S., 2005: Effects of stochastic parametrizations in the Lorenz '96 system. Q. J. R. Meteorol. Soc. 131, 389–407.