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Course, academic year 2023/2024
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Mathematical Modelling of Atmospheric Processes - NMET502
Title: Matematické modelování dějů v atmosféře
Guaranteed by: Department of Atmospheric Physics (32-KFA)
Faculty: Faculty of Mathematics and Physics
Actual: from 2022
Semester: winter
E-Credits: 3
Hours per week, examination: winter s.:2/0, Ex [HT]
Capacity: unlimited
Min. number of students: unlimited
4EU+: no
Virtual mobility / capacity: no
State of the course: not taught
Language: Czech, English
Teaching methods: full-time
Teaching methods: full-time
Guarantor: Mgr. Vladimír Fuka, Ph.D.
Class: DS, meteorologie a klimatologie
Classification: Physics > Meteorology and Climatology
Annotation -
Last update: T_KMOP (09.05.2004)
Formulation of model equations in various coordinate systems, methods of objective analysis, initialization, parametrization of physical and subgrid scale processes.
Aim of the course -
Last update: BRECHLER/MFF.CUNI.CZ (25.04.2008)

Student gains basic knowledge that are needed for activity dealling with modelling including interpretation of numerical weather prediction model results.

Course completion requirements - Czech
Last update: doc. RNDr. Josef Brechler, CSc. (11.10.2017)

Ústní zkouška s přihlédnutím k tématu disertační práce.

Literature -
Last update: BRECHLER/MFF.CUNI.CZ (30.04.2008)

[1] NUMERICAL METHODS USED IN ATMOSPHERIC MODELS, VOLUME I.

By F. Mesinger and A. Arakawa (eds.) GLOBAL ATMOSPHERIC RESEARCH PROGRAMME

(GARP), WMO-ICSU Joint Organization Committee, GARP PUBLICATION SERIES No. 17, August 1976.

[2] NUMERICAL METHODS USED IN ATMOSPHERIC MODELS, VOLUME II.

GLOBAL ATMOSPHERIC RESEARCH PROGRAMME (GARP), WMO-ICSU

GARP PUBLICATION SERIES No. 17, August 1979.

[3] Ferziger, J.H., Peric, M.: Computational Methods for Fluid Dynamics. Springer,1997.

Teaching methods -
Last update: BRECHLER/MFF.CUNI.CZ (25.04.2008)

Lectures

Requirements to the exam -
Last update: BRECHLER/MFF.CUNI.CZ (25.04.2008)

Examination (see sylabus).

Syllabus -
Last update: T_KMOP (09.05.2004)

1. Co-ordinate systems used in meteorological prognostic models: z-system, p-system, isentropic system, common s-system, hybrid system, co-ordinate transformations.

2. Objective analysis methods of different meteorological elements, spatial interpolation and its properties, optimum interpolation.

3. Methods of initialization of meteorological models.

4. Parametrization of physical processes and "subgrid-scale" processes (radiation processes, cloud microphysics, turbulence, for example).

 
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