Numerical Forecasting Methods - NMET508
Title: Numerické předpovědní metody
Guaranteed by: Department of Atmospheric Physics (32-KFA)
Faculty: Faculty of Mathematics and Physics
Actual: from 2022
Semester: summer
E-Credits: 3
Hours per week, examination: summer s.:2/0, Ex [HT]
Capacity: unlimited
Min. number of students: unlimited
4EU+: no
Virtual mobility / capacity: no
State of the course: 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
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Annotation -
Last update: BRECHLER/MFF.CUNI.CZ (25.04.2008)
Initial and boundary value problem for non-linear partial differential equations of atmospheric dynamics and numerical methods of their solution (methods based on difference approach, finite volumes or Galerkin approximation).
Aim of the course -
Last update: BRECHLER/MFF.CUNI.CZ (25.04.2008)

Basic knowledge for activities in the field of the numerical weather prediction.
Course completion requirements - Czech
Last update: doc. Mgr. Jiří Mikšovský, Ph.D. (07.06.2019)

Ústní zkouška v rámci témat daných sylabem.
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 (29.04.2004)

1. Types of PDE's, initial and boundary conditions, discretization.

2. Basic numerical methods (finite difference, finite volume, Gelerkin approximation).

3. Spatial and temporal numerical schemes and their attributes.