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Course, academic year 2023/2024
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Modelling Techniques for Numerical Weather Forecasting - NMET059
Title: Techniky modelování pro numerickou předpověď počasí
Guaranteed by: Department of Atmospheric Physics (32-KFA)
Faculty: Faculty of Mathematics and Physics
Actual: from 2019
Semester: winter
E-Credits: 3
Hours per week, examination: winter s.:0/2, C [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: RNDr. Radmila Brožková, CSc.
Annotation -
Last update: BROZKOVA/MFF.CUNI.CZ (28.04.2008)
Basis of the atmospheric modeling, dynamics and instabilities in the atmosphere, physics, data assimilation, synthesis. The main goal of the seminar is to demonstrate that learning models' behaviour is as instructive as the comparison of their results with observations.
Aim of the course - Czech
Last update: BROZKOVA/MFF.CUNI.CZ (28.04.2008)

Seznámení se s problematikou modelování atmosféry, metodami aplikace teoretických poznatků v modelech, které jsou základem moderní předpovědi počasí a modelování klimatu. Seminář také zahrnuje nejnovější poznatky a trendy z oblasti numerické předpovědi počasí.

Course completion requirements - Czech
Last update: doc. Mgr. Jiří Mikšovský, Ph.D. (19.10.2017)

Aktivní účast na semináři.

Literature - Czech
Last update: T_KMOP (06.05.2004)

Seminář není základní přednáškou dynamiky a fyziky atmosféry ani numerických metod, ale vysvětluje jejich vazbu. Proto pro studenty připravíme výběr relevantních článků a dokumentů, které se danou problematikou z tohoto úhlu pohledu zabývají.

Teaching methods - Czech
Last update: BROZKOVA/MFF.CUNI.CZ (28.04.2008)

Seminář

Requirements to the exam - Czech
Last update: RNDr. Radmila Brožková, CSc. (04.05.2020)

Aktivní účast na semináři.

Participation at the seminar.

Syllabus -
Last update: BROZKOVA/MFF.CUNI.CZ (28.04.2008)

Introduction to atmospheric modeling

Models of general circulation of the atmosphere as an historical example, water and energy cycles of the atmosphere, dimensional analysis, basis of the numerical analysis, simple modeling problems.

Dynamics

Basic types of waves, scales of atmospheric motions (spatial and temporal), basic hypothesis and useful equations, discretization, types of numerical instabilities, methods of horizontal and vertical discretization, time marching schemes, numerical filters vs filtered equations, potential vorticity and examples of use (baroklinic instability, jet streams, fronts).

Physical parameterizations

Role of parameterizations and their historical evolution. Parameterization of radiative transfer, water phase changes, microphysics of clouds and precipitation, subgrid-scale orography effects, exchange with surface and turbulence, non precipitating convection, deep moist convection.

Analysis and data assimilation

Aplication of the optimal estimation theory in meteorology on the analysis problem, BLUE equation in multiscale, observation errors, modeling of first guess errors. Analysis methods, tangent linear and adjoint models, basis of data assimilation. Construction of variational data assimilation, example of 3DVAR with extention to 4DVAR. Curent use of observations in data assimilation, monitoring, quality control impact on analysis and forecast quality.

As main application examples of these methods, up-to-date numerical prediction models are used: IFS/ARPEGE (a common numerical weather prediction system of the European Centre and Météo-France) and its limited area fine-mesh version ALADIN (a system developed in international collaboration and used operationally at the Czech Hydrometeorological Institute).

Entry requirements - Czech
Last update: BROZKOVA/MFF.CUNI.CZ (28.04.2008)

Základní znalosti z dynamiky a termodynamiky atmosféry.

 
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