Open AccessStudy of time series of meteorological parameters by wavelet analysis
Author(s) -
N. A. Ziuzina,
V. A. Gazaryan,
S. A. Kurbatova,
A. I. Chulichkov,
Vitaly Avilov,
N. E. Shapkina
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/606/1/012069
Subject(s) - wavelet , series (stratigraphy) , time series , wavelet transform , spectral analysis , meteorology , environmental science , climatology , mathematics , geography , statistics , geology , computer science , physics , spectroscopy , artificial intelligence , paleontology , quantum mechanics
The paper presents the results of applying the continuous wavelet analysis method to assess the cyclic components of discrete time series. The work is based on an analysis of a long-term series of data on observations of air temperature in the south-west of the Valdai Upland, as well as analysis of data on observations of CO 2 concentration in the canopy of the tropical monsoon forest in southern Vietnam. The patterns of wavelet coefficients and integral spectra have been studied for all considered time series. Additionally, the cyclicities contained in the studied series were revealed.