| Individual course details | ||||||||||
| Study programme | Meteorology | |||||||||
| Chosen research area (module) | ||||||||||
| Nature and level of studies | Undergraduate Study | |||||||||
| Name of the course | Data Assimilation | |||||||||
| Professor (lectures) | Katarina Veljović, assistant professor | |||||||||
| Professor/associate (examples/practical) | Katarina Veljović, assistant professor | |||||||||
| Professor/associate (additional) | ||||||||||
| ECTS | Status (required/elective) | Optional | ||||||||
| Access requirements | General meteorology 1; General meteorology 2 | |||||||||
| Aims of the course | This
course introduces the students with the latest methods in the weather
analysis based on numerical methods and computational aspects. The goal is to
get a knowledge on the analysis of meteorological fields necessary for the
start of numerical weather prediction. |
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| Learning outcomes | The students should become able to implement basic variational and estimation methods in simple computer programs through a hands-on approach. The weather forecasts use data assimilation to estimate initial conditions for the forecast model from meteorological observations. Therefore, the student is prepared for both further activities in NWP system and scientific work. | |||||||||
| Contents of the course | ||||||||||
| Lectures | 1.
Introduction: analytical and forecasting system. 2. The data in the weather
analysis: the required data. 3. The available data. 4. Satellite data. 5. The
collection and control of data. 6. Methods of data assimilation: local
polynomial interpolation method. 7. Statistical interpolation method. 8.
Successive corrections method. 9. Spectral method. 10. Variational method. 11
Four-dimensional variational data assimilation. 12. Initialization: General
concepts, historical overview. 13. Nonlinear normal mode initialization. 14 Solutions of linearized equations. 15. Linear geostrofic adjustment, linear initialization. |
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| Examples/ practical classes | Theoretical approach with a simple computational exercises. | |||||||||
| Recommended books | ||||||||||
| 1 | Lazar Lazić, 2010: Data Assimilation. RHMZS. 146 pp. (In Serbian) | |||||||||
| 2 | Rodger Daley, 1991: Atmospheric Data Analysis. Cаmbridge University Press, 457 pp. | |||||||||
| 3 | ||||||||||
| 4 | ||||||||||
| 5 | ||||||||||
| Number of classes (weekly) | ||||||||||
| Lectures | Examples&practicals | Student project | Additional | |||||||
| 3 | 3 | |||||||||
| Teaching and learning methods | Lectures, exercises, seminars. | |||||||||
| Assessment (maximal 100) | ||||||||||
| assesed coursework | mark | examination | mark | |||||||
| coursework | 5 | written examination | 20 | |||||||
| practicals | 15 | oral examination | 40 | |||||||
| papers | 10 | |||||||||
| presentations | 10 | |||||||||