Data Processing in Meteorology 1103-5`AIM
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Mode
Prerequisites (description)
Course coordinators
Learning outcomes
Knowledge:
1. Knowledge of modern research methods to processing of the synoptic and climate data.
2. Knowledge of data assimilation methods
Skills:
1. Ability to perform, analysis and interpretation of geophysical measurements.
2. Knowledge of software for the analysis of geophysical data.
3. Knowledge of standard data formats.
4. Ability to perform data visualization, plotting maps based on measurements of irregular observation network.
5. Ability to carry out a synthetic study of atmospheric phenomena at different scales.
Personal and social competence:
1. The student can independently search for information in the literature, also in foreign languages.
2. Student is able to precisely formulate questions to deepen their understanding of the topic.
3. The student understands and appreciates the importance of intellectual honesty in the work of his own; act ethically.
Assessment criteria
Final assessment will be based on class exercises and oral exam (during the exam session). The oral exam may be taken by students who passes the exercises class. A list of theoretical questions for the oral exam will be announced in advance. Attendance at lectures and tutorials is strongly encouraged, but is not compulsory.
Bibliography
1. R. R. Rogers, M. K. Yau: A short course in cloud physics. Pergamon Press, Oxford, 1989.
2. R.A. Houze: Cloud dynamics. Academic Press, 1993.
3. W.R. Cotton, I.R.A. Anthes: Storm and cloud dynamics. Academic Press, 1989
4. F.H. Ludlam: Clouds and storms. The Pennsylvania State University Press, 1980
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: