1. komponenta

Lecture type	Total
Lectures	30
Exercises	15

* Load is given in academic hour (1 academic hour = 45 minutes)

COURSE OBJECTIVES:
The course offers insight into the most recent accomplishment in the field of meteorology and climatology. Also, the course aims to provide general knowledge and skills for analysis and comparison of atmospheric processes on different spatial and temporal scales. Under this course students achieve practical experience in work with meteorological and climatological data, their statistical analysis as well as basic experience in work with different software packages for data processing and visualization. The course cavers a large amount of work in computer lab to develop students independence in learning, data processing and interpretation of results that are obtained in resolving specific problems.
COURSE CONTENT:
The course consists of several offered thematic modules. Each module contains the recent accomplishment in meteorology and links them to the existing students knowledge and skills The course covers following areas: Earth climate system, main characteristics of the Earth system components and their interactions; statistical properties of atmospheric circulation; atmospheric disturbances; climate variability; climate forcing mechanisms and responses; feed-back processes; atmospheric teleconnection patterns - their identification and methods of examination; composite analysis; ensembles of climate simulations; climate signal, noise and potential predictability; El Nino Southern Oscillation (physical mechanisms, teleconnections, El Nino Modoki); equatorial waves and B-plane approximation; feed-back processes in the Tropics; Pacific Decadal Oscillation; North Atlantic Oscillation; climate change (natural and anthropogenic), global warming; climate change modelling and hierarchy of climate models; climate scenarios and climate projections. Practical aspects of the course include: basic statistical methods in meteorology and climatology; Grid Analysis and Display System (GrADS) usage and programming in GrADS; visualisation and statistical data analysis; atmospheric general circulation; atmospheric waves; meridional, zonal and vertical distribution of meteorological variables; seasonal and interannual variability; climate indices (calculation and visualization) and composite analysis; teleconnection patterns, correlation analysis and correlation maps.
LEARNING OUTCOMES:
Students will have the knowledge and skills to:
1. Understand, explain and describe atmospheric processes of different spatio-temporal scales.
2. Explain various feed-back processes in the atmosphere.
3. Explain climate variability, analysis its causes, discuss natural and anthropogenic climate change providing scientific methods for their examination.
4. Identify, visualize and explain atmospheric teleconnections and apply appropriate statistical methods.
5. Formulate and solve particular problem related to the specific thematic module.
6. Analyse, compare and discuss observed and modelled data.
LEARNING MODE:
Listening, sessions, independent study of notes and literature, case study analysis,
derivation of equations and problem solving, exercises
TEACHING METHODS:
Lectures, exercises, practical work.
METHODS OF MONITORING AND VERIFICATION:
Homework, seminar (oral presentation), seminar essay, oral exam.
TERMS FOR RECEIVING THE SIGNATURE:
Regular attendance to the lectures (at least 70 %), homework, accomplished project.
EXAMINATION METHODS:
Oral exam.

1. Beniston, M.: From Turbulence to Climate. Springer, Berlin, 1998.
   Marshall, J. i R. A. Plumb: Atmosphere, Ocean, and Climate Dynamics: An Introductory Text. Elsevier, Amsterdam, 2008.
   Vallis, G. K.: Atmospheric and Oceanic Fluid Dynamics. Cambridge University Press, Cambridge, 2006.
   Wilks, D.S.: Statistical Methods in the Atmospheric Sciences-An Introduction. International Geophysics Series, Vol. 59, Academic Press, 1995.
2. Vallis, G. K.: Atmospheric and Oceanic Fluid Dynamics. Cambridge University Press, Cambridge, 2006.
3. Beniston, M.: From Turbulence to Climate. Springer, Berlin, 1998.
4. Wilks, D.S.: Statistical Methods in the Atmospheric Sciences-An Introduction. International Geophysics Series, Vol. 59, Academic Press, 1995.

Izborni predmeti - Regular study - Meteorology and Physical Oceanography