Examination of selected topics in climatology. The course offers detailed discussion and
insight into the concept of climate and climate-human interactions. The course also
provides the fundamentals of climate modelling and enables gaining of the experience in
running climate models, data visualization and explanation.
The course consists of several offered thematic modules. Each module contains the recent accomplishment in climatology and climate modelling and links them to the existing knowledge and skills of students. The modules topics deal with following areas: statistical techniques used in climate studies (review of basic statistics, composite analysis, linear regression, time series analysis...);
dynamics, physical mechanisms, and impacts of natural climate variability phenomena; tropical forcing and teleconnections; the interaction between the atmosphere and slower components of the climate system; the physical and feedback mechanisms involved in global climate change; climate modelling and the hierarchy of climate models; natural climate variability and modelling; anthropogenic climate change, climate scenarios and climate projections; analysis and comparison of observed and simulated climate variables. The contents of modules are changeable following the newest achievements in the field.
Students will have the knowledge and skills to:
1. Understand and apply the principles of statistical techniques used in climate studies, apply statistical methods on large amount of data to extract and interpret climatological information.
2. Recognise, understand and explain primary physical mechanisms of the climate variability phenomena (oscillations, teleconnection patterns, patterns and indices of climate variability).
3. Understand and explain basics and the mechanisms of interaction between climate system components (land-ocean-atmosphere interactions) and feedback processes.
4. Identify observed global climate change signals (e.g. CO2, temperature trends, Arctic sea ice extent, etc.), explain certain physical mechanisms for global climate change, and articulate the uncertainties associated with global climate change forecasts and outcomes (e.g. observation errors and predicted future states of the atmosphere/ocean system).
5. Understand the fundamentals of climate modelling, acquiring experience in running climate models with a purpose of climate research.
Listening, sessions, independent study, case study, derivation of equations and problem
Lectures, exercises, practical work.
METHODS OF MONITORING AND VERIFICATION:
Homework, active participation in discussions during lectures and in particular during seminars, seminar (oral presentation by the student), seminar essay, oral exam.
TERMS FOR RECEIVING THE SIGNATURE:
Regular attendance to the lectures (at least 70 %), accomplished project, project essay
- Marshall, J., R. A. Plumb: Atmosphere, Ocean, and Climate Dynamics: An Introductory Text. Elsevier, Amsterdam, 2008.
Cook, K. H.: Climate dynamics, Princeton, Princeton University Press, 2013.
H. von Storch, A. Navarra: Analysis of climate variability: applications of statistical techniques, Springer, Berlin, Heidelberg, New York, 1999.
Stocker T.F., D. Qin, G.-K. Plattner, M. M.B. Tignor, S. K. Allen, J. Boschung, A. Nauels, Y. Xia, V. Bex, P. M. Midgley (eds.): Climate change 2013: the physical science basis, Cambridge University Press, Cambridge, 2014.
Lionello, P. (ed.): The climate of the Mediterranean region: from the past to the future, Elsevier, Amsterdam; Boston; Heidelberg, 2012.
- Cook, K. H.: Climate dynamics, Princeton, Princeton University Press, 2013.
- H. von Storch, A. Navarra: Analysis of climate variability : applications of statistical techniques, Springer, Berlin; Heidelberg; New York, 1999.
- Stocker T.F., D. Qin, G.-K. Plattner, M. M.B. Tignor, S. K. Allen, J. Boschung, A. Nauels, Y. Xia, V. Bex, P. M. Midgley (eds.): Climate change 2013: the physical science basis, Cambridge University Press, Cambridge, 2014.
- Lionello, P. (Ed.): The climate of the mediterranean region: from the past to the future,
Elsevier, Amsterdam; Boston; Heidelberg, 2012.
- Haigh J.D. and P. Cargill: The Sun's influence on climate, Princeton University Press, Princeton; Oxford, 2015.
- Suvremeni znanstveni članci.