Methods of Analysis of Meteorological Processes and Fields
Course: Meteorology
Structural unit: heohrafichnyi fakultet
Title
Methods of Analysis of Meteorological Processes and Fields
Code
ОК 2.
Module type
Обов’язкова дисципліна для ОП
Educational cycle
Second
Year of study when the component is delivered
2023/2024
Semester/trimester when the component is delivered
1 Semester
Number of ECTS credits allocated
6
Learning outcomes
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)
Form of study
Full-time form
Prerequisites and co-requisites
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.
Course content
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.
Recommended or required reading and other learning resources/tools
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.
Planned learning activities and teaching methods
-Lectures, practical
Assessment methods and criteria
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.
Language of instruction
Ukrainian
Lecturers
This discipline is taught by the following teachers
Rostyslav
Vasylovich
Oliinyk
Meteorology and сlimatology
heohrafichnyi fakultet
heohrafichnyi fakultet
Departments
The following departments are involved in teaching the above discipline
Meteorology and сlimatology
heohrafichnyi fakultet