Infopaket

Statistical Methods of Meteorological Data Processing

ОК 22.

Обов’язкова дисципліна для ОП

First

2021/2022

3 Semester

3

Collect, process and analyze information in the field of earth sciences (PLO-1) Be able to perform studies of the atmosphere and other geospheres using quantitative methods of analysis (PLO-9)

Full-time form

1. Successful completion of the course in physics, mathematics, computer science and general meteorology. 2. Knowledge of theoretical foundations of meteorology, laws of physics, in particular, the ability to establish cause and effect relationships between phenomena and processes occurring in the atmosphere. Knowledge of the basic laws and regularities of modern meteorology.

The discipline is devoted to the study of basic statistical methods used in the processing of primary meteorological information. The course consists of four content modules. The first one - "Statistical estimation of distribution parameters of meteorological observation series", considers the basic methods of statistical analysis: statistical observations, data summary and grouping, analysis of variation and dynamic distribution series, methods of population structure analysis, analysis of relationships in meteorological phenomena. The second module "Linear and nonlinear multivariate modeling of relationships" considers the concepts and measures of statistical modeling, the basics of regression analysis, hypothesis testing and statistical estimation of regression coefficients, the concept of multicollinearity and heteroscedasticity, the essence of autocorrelation of time series. The third module "Classification analysis with and without training" considers discriminant analysis and general models of discriminant analysis; cluster analysis, classification trees and their properties. The fourth module "Time series analysis of meteorological observations" considers the model of integrated moving average, exponential smoothing and forecasting; spectral analysis.

1.Школьний Е.П., Гончарова Л.Д. Миротворська Н.К. Методи обробки та аналізу гідрометеорологічної інформації.Одеса:2000 2. Dommenget Dietmar. An Introduction to Statistical Analysis in Climate Research. Lecture notes (textbook) for the statistic lecture revised, but unfinished. Monash University, Australia. 2015.- 233p. 3. Perez Melo, Sergio, "Statistical Analysis of Meteorological Data" (2014). FIU Electronic Theses and Dissertations. https://digitalcommons.fiu.edu/etd/1527 4. Wilks D.S. STATISTICAL METHODS IN THE ATMOSPHERIC SCIENCES Second Edition.Department of Earth and Atmospheric Sciences Cornell University, 2006. - 611p.

Lectures, practical works

Assessment is carried out during the semester for all types of work, including independent work and individual tasks.

Ukrainian