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Course, academic year 2023/2024
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Methods of atmospheric remote sensing - NMET020
Title: Metody dálkového průzkumu atmosféry
Guaranteed by: Department of Atmospheric Physics (32-KFA)
Faculty: Faculty of Mathematics and Physics
Actual: from 2020
Semester: winter
E-Credits: 5
Hours per week, examination: winter s.:3/1, C+Ex [HT]
Capacity: unlimited
Min. number of students: unlimited
4EU+: no
Virtual mobility / capacity: no
State of the course: taught
Language: Czech, English
Teaching methods: full-time
Teaching methods: full-time
Guarantor: RNDr. Martin Setvák, CSc.
doc. Mgr. Michal Žák, Ph.D.
prof. RNDr. Petr Pišoft, Ph.D.
Classification: Physics > Meteorology and Climatology
Annotation -
Remote sensing of the Earth‘s atmosphere by weather satellites and radars; principles and utilization of Doppler radars, LIDAR and SODAR measurements; lightning detection and localization networks; sensing of atmospheric composition
Last update: Mikšovský Jiří, doc. Mgr., Ph.D. (13.05.2020)
Aim of the course -

Obtaining basic knowledge on satellite and radar meteorology.

Last update: T_KMOP (30.04.2008)
Course completion requirements - Czech

Znalosti podle sylabu předmětu.

Last update: Pišoft Petr, prof. RNDr., Ph.D. (16.01.2024)
Literature -

(1) D. Řezáčová a kol.: Fyzika oblaků a srážek. Academia Praha, 2007.

(2) S.Q.Kidder, T.H.Vonder Haar: Satellite Meteorology - an Introduction. Academic Press, Inc., 1995

(3) L.J.Battan: Radar Observations of the Atmosphere. The University of Chicago Press, Chicago 1973

(4) R.J. Doviak, D. Zrnic: Doppler Radar and Weather Observations (second edition). Academic Press, Inc., 1993

(5) V.N. Bringi, V. Chandrasekar, 2001: Polarimetric Doppler Weather Radar, Cambridge University Press, U.K., 636 s.

Last update: T_KMOP (30.04.2008)
Teaching methods -

Lecture / exercise

Last update: T_KMOP (30.04.2008)
Requirements to the exam -

Knowledge of topics defined in the syllabus.

Last update: T_KMOP (30.04.2008)
Syllabus -

1. Satellite observations

Global system of weather satellites; geostationary satellites; Low-Earth polar orbiting satellites. EUMETSAT organization and its prime satellites (MSG, MTG, Metop, Metop-SG). European Space Agency (ESA); other European space-related activities and programs. Third party weather satellites and programs – NOAA/JPSS, GOES, and other. Principles and basics of data acquisition and primary data processing; data and products distribution to end users. Spectral bands and their basic characteristics, atmospheric spectral windows. Solar radiance, thermal emission. Reflectivity, transparency, emissivity, brightness temperature. Spectral bands (channels) of various weather satellite instruments. Basic spectral properties of clouds and land; principles of multispectral interpretation of weather satellite data. Basic methods of satellite data and image processing. Advanced image products – color image enhancement, RGB composite images, “sandwich” blended image products, basics of their interpretation. CHMI satellite system – data acquisition, processing, distribution and archive. Software (freeware) for processing and visualization of weather satellite data; data sources and their formats.

2.Radar measurements

Principles of radar measurements and their use in meteorology, development of radar measurements in Czechia. Radar equation, microwave refraction, attenuation, ground clutters. Scanning strategies, user products, radar networks and radar data compositing, radar data visualization . Relation of radar reflectivity and rainfall intensity (Z-R relation), vertical profiles of radar reflectivity. Quantitative precipitation estimates (QPE), QPE uncertainties and possibilities of their correction, combined QPE from radars and rain gauges . Radar characteristics of convective and stratiform clouds, bright-band, life-cycle of convective cells.

3. Lightning detection

Principles of lightning detection and localization, electromagnetic effects of lightning discharge, time of arrival method, direction of source finding method. Lightning detection networks. Measured quantities, products, possibilities of presentation. Combination with another remote sensing data. Using in meteorological applications (nowcasting).

4. Remote sensing of atmospheric composition from space

Ozone, NO2, SO2, Formaldehyde, CO, aerosol optical depth, methods of resolving vertical profiles, currently operational spaceborn remote sensors of atmospheric compositions

Last update: Pišoft Petr, prof. RNDr., Ph.D. (13.05.2020)
Entry requirements -


Last update: T_KMOP (30.04.2008)
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