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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

Opinion survey results Examination dates SS schedule Noticeboard

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.