Universität Wien

280354 VO PM-Num: Fundamentals of atmospheric modelling (NPI) (2018S)

2.00 ECTS (2.00 SWS), SPL 28 - Erdwissenschaften, Meteorologie - Geophysik und

Zeit: Mo, 18:00 bis 19:30
Raum: 2F513, UZA II
Moodle

Details

max. 30 participants
Language: German

Examination dates

Lecturers

Classes

First session: 5 March 2018

Information

Aims, contents and method of the course

The course provides an introduction to the basic aspects of numerical weather prediction, with special emphasis on mesoscale weather models. Topics include:
* 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).

Assessment and permitted materials

Oral examination

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

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.

Association in the course directory

Last modified: Sa 19.06.2021 00:30