FREQUENCY ANALYSIS OF TIME SERIES OF AEROSOL CHARACTERISTICS BASED ON MEASUREMENTS OF SPECTRAL TRANSMISSION OF LIGHT IN THE NEAR-SURFACE LAYER OF THE ATMOSPHERE IN TOMSK

The results of the study of time series for the aerosol extinction coefficient measured in the period 2003–2006 in the Tomsk region and the volume concentration of aerosol, which was restored as a result of the inversion , are presented. Experimental data were obtained using an atmospheric spectral transmittance meter at 11 wavelengths in the range 0.45–3.91 µm on a horizontal path in the near-surface layer of the atmosphere. To solve the inverse problem, a numerical algorithm based on the integral distribution method was used. The total amount of processed data was about 6 thousand spectra. Spectral analysis of time series was performed using an algorithm based on the Barning method which was developed for the analysis of data obtained at irregular observational intervals.

Authors

Publication Details

Published
2025-06-17
DOI
https://doi.org/10.56820/conferencearticle_685be466a77c58.80395626
Primary Topic
Atmospheric and Environmental Gas Dynamics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

FREQUENCY ANALYSIS OF TIME SERIES OF AEROSOL CHARACTERISTICS BASED ON MEASUREMENTS OF SPECTRAL TRANSMISSION OF LIGHT IN THE NEAR-SURFACE LAYER OF THE ATMOSPHERE IN TOMSK

V. Veretennikov, V. N. Uzhegov, S. Men'schikova
Atmospheric and Environmental Gas Dynamics
article

FREQUENCY ANALYSIS OF TIME SERIES OF AEROSOL CHARACTERISTICS BASED ON MEASUREMENTS OF SPECTRAL TRANSMISSION OF LIGHT IN THE NEAR-SURFACE LAYER OF THE ATMOSPHERE IN TOMSK

V. Veretennikov, V. N. Uzhegov, S. Men'schikova
article en

Abstract

The results of the study of time series for the aerosol extinction coefficient measured in the period 2003–2006 in the Tomsk region and the volume concentration of aerosol, which was restored as a result of the inversion , are presented. Experimental data were obtained using an atmospheric spectral transmittance meter at 11 wavelengths in the range 0.45–3.91 µm on a horizontal path in the near-surface layer of the atmosphere. To solve the inverse problem, a numerical algorithm based on the integral distribution method was used. The total amount of processed data was about 6 thousand spectra. Spectral analysis of time series was performed using an algorithm based on the Barning method which was developed for the analysis of data obtained at irregular observational intervals.

Openalex Percentile: Top 86%
Atmospheric and Environmental Gas Dynamics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.