PřF:Z0095 Radar and satell. meteorology - Course Information
Z0095 Radar and satellite meteorology
Faculty of Sciencespring 2012 - acreditation
The information about the term spring 2012 - acreditation is not made public
- Extent and Intensity
- 2/1/0. 3 credit(s) (plus extra credits for completion). Type of Completion: zk (examination).
- Teacher(s)
- RNDr. Milan Šálek, Ph.D. (lecturer), RNDr. Miroslav Kolář, CSc. (deputy)
- Guaranteed by
- prof. RNDr. Rudolf Brázdil, DrSc.
Department of Geography – Earth Sciences Section – Faculty of Science
Contact Person: RNDr. Miroslav Kolář, CSc.
Supplier department: Department of Geography – Earth Sciences Section – Faculty of Science - Prerequisites
- 1)Basics of advanced mathematics, expecially calculus (at least calculus of single variable, derivation, integration)
2)Basics of meteorology (atmosphere physics, e. g. stability/instability, fronts etc.)
3)Basics of physics (secondary school level; e.g. Doppler effect) - Course Enrolment Limitations
- The course is only offered to the students of the study fields the course is directly associated with.
The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20 - fields of study / plans the course is directly associated with
- Physical Geography (programme PřF, N-GK)
- Course objectives
- Key objectives are briefly summarized as follows:
Understanding of principles of remote sensing methods utilized in meteorology and climatology. In particular, the student should be able:
1. to understand the measurements techniques of weather radars including elementary data processing algorithms;
2. to interpret reflectivity and Doppler velocity fields;
3. to explain and interpret precipitation estimates made by weather radars;
4. to know problems of the reflectivity measurements and precipitation estimates and to know correction methods applicable to the radar precipitation estimates;
5. to know the measurements techniques of meteorological satellites including elementary data processing algorithms;
6. to interpret the information of the meteorological satellites including multispectral analysis;
7. to know signatures of some severe weather obtainable by remote sensing methods;
Additionally, the student should then know the main principles of measurements by lidars and sodars and lightning detection systems. The student should also be able to interpret multisensor analyses that combine data obtained by several remote sensing tools and/or (direct) surface measurements of meteorological elements. - Syllabus
- 1. Introduction to cloud and precipitation physics (precipitation, particle size distribution), laws of radiation (Planck law, Wien law, Stefan-Boltzmann law), basics of scattering theory of elektromagnetic waves on precipitation particles
- 2. Meteorological radars radar hardware, radar equation, relation of reflectivity and precipitation intensity, errors of radar precipitation estimates, correction of the radar precipitation estimates, wind measurement by Doppler effect
- 3. Meteorological satellites satellites orbits, satellite hardware, NOAA, METEOSAT, (mainly MSG), interpretation of the satelite measurements
- 4. Integration of remote sensing methods (mutisensor analysis), examples
- 5. Detection of severe weather by remote sensing
- Literature
- ŘEZÁČOVÁ, Daniela, Petr NOVÁK, Marek KAŠPAR and Martin SETVÁK. Fyzika oblaků a srážek. Vydání 1. Praha: Academia, 2007, 574 stran. ISBN 9788020015051. info
- BEDNÁŘ, Jan. Pozoruhodné jevy v atmosféře : atmosférická optika, akustika a elektřina. Vyd. 1. Praha: Academia, 1989, 236 s. ISBN 8020000542. URL info
- Salek, M., J-L. Cheze, J. Handwerker, L. Delobbe, and R. Uijlenhoet, 2004. Radar techniques for identifying precipitation type and estimating quantity of precipitation. Document of COST-717, http://www.smhi.se/cost717/doc/WDF_01_200407_1.pdf
- Weather radar : principles and advanced applications. Edited by Peter Meischner. Berlin: Springer, 2004, xvii, 337. ISBN 3540003282. info
- Teaching methods
- Lectures, homeworks
- Assessment methods
- Type of teaching - lecture and individual practice Type of exam - oral
- Language of instruction
- Czech
- Further Comments
- The course is taught once in two years.
The course is taught: in blocks.
- Enrolment Statistics (spring 2012 - acreditation, recent)
- Permalink: https://is.muni.cz/course/sci/spring2012-acreditation/Z0095