Specialized Seminar in Atmospheric Sciences

Enrollment into the program.
Passed basic mandatory course

Topics of G. Skok:
Interpolation of surface precipitation measurements to a regular grid
Precipitation sensing by satellites
Analysis and verification of modelled precipitation

Topics of J. Rakovec:

EM radiation in Earth’s atmosphere
Global energetics
3D remote sensing
Use of satellite measurements in meteorology
Radar and lidar ground and airborne measurements

Topics of N. Žagar:
Atmospheric turbulence in 2D and 3D: observations and modelling
Role of inertio-gravity waves in atmospheric dynamics
Normal-mode function representation of global circulation and scale-dependent energy distribution
Atmospheric predictability: forecast-error dynamics and the background-error covariance modelling in 4D-Var data assimilation for NWP
Construction and application of simplified models as a basic tool for understanding of atmospheric processes

Topics of L. Kajfež Bogataj:
Global and regional climate models and their application. Climate projections.
Methods for construction of climate change scenarios

Michaelides. S.C. (Ed.): Precipitation: Advances in Measurement, Estimation and Prediction. Springer 2008.
Stephens G.L.: Remote Sensing of the Lower Atmosphere: An Introduction, Oxford Univ. Press. 1994
Marzano, F.S. in G. Visconti (Eds.): Remote Sensing of Atmosphere and Ocean from Space: Models, Instruments and Techniques, Springer 2002
Thomas, G. E. in K. Stamnes: Radiative transfer in the atmosphere and ocean, Cambridge University Press 1999.
Randal, D: General Circulation Model Development: Past, Present, and Future. International Geophysics Series, Vol. 70, 2000.
Peixoto, J.P. in A.H. Oort: Physics of Climate. Springer-Verlag 1992 Weinheim, Wiley-VCH, 2006, ISBN 3-527-40503-8.
Kalnay, E.: Atmospheric modelling, data assimilation and predictability. Cambridge University Press 2003
Izbrani novejši članki iz strokovnih časopisov

Getting the picture of general circulation and the relative importance of various factors for atmospheric variability. Understanding challenges associated with the global atmospheric modeling. Getting familiar with recent progress in selected research topics in atmospheric sciences.

Knowledge and understanding:
Student develops ability to understand challenges associated with addressing open scientific and professional questions in various fields of atmospheric sciences and theoretical and experimental methods applied to solve them.

Application:
Obtained knowledge can be applied in doctoral thesis scientific research.

Reflection:
Usage of acquired knowledge to interconnection of related problems and scientific methods not directly involved in the field of doctoral thesis.

Transferable skills:
Deepened knowledge of contemporary scientific state-of-the-art in various fields enables interconnection of theoretical and experimental methods.

Lectures, consultations, seminars.

Participation in lectures and discussions, seminar presentation
Discussion
passed / not passed (according to the Statute of UL)