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Methods of Analysis of Meteorological Processes and Fields

ОК 2.

Обов’язкова дисципліна для ОП

Second

2022/2023

1 Semester

6

Analyze the patterns of occurrence and development of processes and phenomena in the atmosphere in their their interaction with other geospheres (PLO 01) To know modern methods of meteorology research and be able to apply them in production and research activities (PLO 07) Model atmospheric processes and phenomena, using cartographic and mathematical methods and geoinformation technologies (WP12) Identify and classify known and register new phenomena and processes in the atmosphere, their properties and inherent features (WP13)

Full-time form

1. Successful completion of the course in physics, mathematics, computer science, general meteorology and applied statistics. 2. Knowledge of theoretical foundations of meteorology, atmospheric physics, mathematical statistics, ability to establish causal relationships between phenomena and processes occurring in the natural environment. Possession of basic methods of statistical analysis of meteorological information.

The discipline is devoted to the study of basic methods of statistical analysis of meteorological processes. The course consists of of two content modules. The first content module - Statistical structure of meteorological fields is devoted to the study of statistical methods for solving problems of processing meteorological information processing; interpolation and extrapolation of meteorological fields values of their consistency. The second content module - Statistical methods of analysis of meteorological processes, the main methods of parametric and nonparametric statistics are considered. statistics; spectral decomposition of stationary random process.

1. Гончарова Л.Д. Методи багатовимірного статистичного аналізу метеорологічних полів та атмосферних процесів: Навчальний посібник. – Одеса: 2016. – 195 с. 2. Школьний Є.П., Лоєва І.Д., Гончарова Л.Д. Обробка та аналіз гідрометеорологічної інформації. Підручник. – К.: Міносвіти України, 1999. – 600 с. 3. Wilks D.S. STATISTICAL METHODS IN THE ATMOSPHERIC SCIENCE Second EditionDepartment of Earth and Atmospheric Sciences Cornell University. 2006- 627 р. 4. Dietmar Dommenget. An Introduction to Statistical Analysis in Climate Research. Lecture notes (textbook) for the statistic lecture revised, but unfinished. School of Mathematical Sciences- 2015-233р.

-Lectures, practical

The semester number of points is formed by the points obtained by the student in the process of mastering the material on all topics of the two content modules and performing individual tasks. Final assessment in the form of an exam: the maximum number of points at the exam is 40 points, the minimum number of points that are added to the semester points is 24 points (60% of the maximum number of points allocated for the exam). Students who have scored at least 36 points during the semester (60% of the maximum number of points allocated for semester control) are allowed to take the exam. For students who have scored during the semester a total of less points than the critical-calculated minimum - 36 points to pass the exam must re-pass the current control of knowledge (for example, in the form of testing) in the prescribed manner.

Ukrainian