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19M061FEA - Physics and ecology of the atmosphere

Course specification
Course title Physics and ecology of the atmosphere
Acronym 19M061FEA
Study programme Electrical Engineering and Computing
Module Applied Mathematics, Audio and Video Technologies, Biomedical and Environmental Engineering, Biomedical and Nuclear Engineering, Computer Engineering and Informatics, Electronics and Digital Systems, Energy Efficiency, Information and communication technologies, Information and Communication Technologies, Microwave Engineering, Nanoelectronics and Photonics, Power Systems - Networks and Systems, Power Systems - Renewable Energy Sources, Power Systems - Substations and Power Equipment, Signals and Systems, Software Engineering
Type of study master academic studies
Lecturer (for classes)
Lecturer/Associate (for practice)
Lecturer/Associate (for OTC)
    ESPB 6.0 Status elective
    Condition No
    The goal Introduce students to the basic principles of physics, ecology and atmospheric electrodynamics. Introduction to basic pollutants and their effect on the behavior of the atmosphere. Introducing a variety of weather prediction models.
    The outcome Knowledge of basic principles of physics, ecology and atmospheric electrodynamics. Familiarity with the main pollutants and their effect on the behavior of the atmosphere. Knowledge of a variety of weather prediction models.
    Contents
    Contents of lectures Atmospheric composition, mass and structure Solar radiation and the global energy budget Atmospheric moisture budget Atmospheric instability, cloud formation and precipitation processes Atmospheric motion: principles Electrodynamics of the atmosphere Physics of electrical discharges in the troposphere, return stroke models
    Contents of exercises Exercises
    Literature
    1. Essentials of Meteorology, Donald Ahrens, 3rd ed, 2005
    2. Atmosphere, Weather and Climate, Roger G. Barry and Richard J. Chorley 8th ed. Routledge, 2003.
    3. The Earth’s Atmosphere, Kshudiram Saha, Springer 2008.
    4. High Resolution Numerical Modelling of the Atmosphere and Ocean, Kevin Hamilton, Wataru Ohfuchi, Springer 2008.
    Number of hours per week during the semester/trimester/year
    Lectures Exercises OTC Study and Research Other classes
    3 1
    Methods of teaching Lectures, exercises, study research work
    Knowledge score (maximum points 100)
    Pre obligations Points Final exam Points
    Activites during lectures Test paper 50
    Practical lessons Oral examination 20
    Projects
    Colloquia 30
    Seminars