280354 VO PM-Num: Fundamentals of atmospheric modelling (NPI) (2019S)
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Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
Details
max. 25 participants
Language: German
Examination dates
- Monday 17.06.2019
- Wednesday 28.08.2019
- Thursday 29.08.2019
- Thursday 05.09.2019
- Thursday 19.09.2019
- Monday 21.10.2019
Lecturers
Classes
First session: 4 March 2019
Information
Aims, contents and method of the course
Assessment and permitted materials
Written examination at the end of the semester
Minimum requirements and assessment criteria
50% der beim Test zu erreichenden Punkte müssen für Genügend erreicht werden.
Ab 62.5 % Befriedigend, ab 75.0% Gut und ab 87.5% Sehr Gut
Ab 62.5 % Befriedigend, ab 75.0% Gut und ab 87.5% Sehr Gut
Examination topics
Prüfungsstoff besteht aus dem Inhalt des parallel zur Vorlesung entstehenden Skriptums
Reading list
* Mesinger, F., and Arakawa, A., 1976: Numerical methods used in atmospheric models. GARP Publication Series, No. 17.
(available online at http://www.atmos.ucla.edu/~brianpm/download/mesinger_arakawa_1976.pdf).
* Riddaway, R.W., and Hortal, M., 2001: Numerical methods. ECMWF Meteorological Training Courses. (available online
at http://www.ecmwf.int/newsevents/training/lecture_notes/pdf_files/NUMERIC/Num_meth.pdf)
* Durran, D.R., 2010: Numerical methods for fluid dynamics with applications to geophysics, 2nd Edition. Springer, 516 pp.
* Coiffier, J., 2011: Fundamentals of numerical weather prediction. Cambridge University Press, 340 pp.
* Warner, T.T., 2011: Numerical weather and climate prediction. Cambridge University Press, 526 pp.
* Kalnay, E., 2003: Atmospheric modeling, data assimilation and predictability. Cambridge University Press, 364 pp.
* Stensrud, D., 2007: Parameterization schemes: Keys to understanding numerical weather prediction models. Cambridge
University Press, 459 pp.
(available online at http://www.atmos.ucla.edu/~brianpm/download/mesinger_arakawa_1976.pdf).
* Riddaway, R.W., and Hortal, M., 2001: Numerical methods. ECMWF Meteorological Training Courses. (available online
at http://www.ecmwf.int/newsevents/training/lecture_notes/pdf_files/NUMERIC/Num_meth.pdf)
* Durran, D.R., 2010: Numerical methods for fluid dynamics with applications to geophysics, 2nd Edition. Springer, 516 pp.
* Coiffier, J., 2011: Fundamentals of numerical weather prediction. Cambridge University Press, 340 pp.
* Warner, T.T., 2011: Numerical weather and climate prediction. Cambridge University Press, 526 pp.
* Kalnay, E., 2003: Atmospheric modeling, data assimilation and predictability. Cambridge University Press, 364 pp.
* Stensrud, D., 2007: Parameterization schemes: Keys to understanding numerical weather prediction models. Cambridge
University Press, 459 pp.
Association in the course directory
Last modified: We 19.08.2020 08:07
* Governing equations, wave oscillations in the atmosphere and filtering approximations (4 hrs);
* Basic aspects of finite-difference schemes for PDEs (6 hrs);
* Advanced aspects of finite-difference schemes for PDEs (4 hrs);
* Miscellaneous topics, e.g., boundary conditions, terrain following coordinates etc. (2 hrs);
* Basics about parameterization schemes (6 hrs).