Abstract Study of spatiotemporal variability of total and tropospheric ozone content based on IKFS-2 satellite measurements | UCP

Study of spatiotemporal variability of total and tropospheric ozone content based on IKFS-2 satellite measurements

ISARD-2025-satellite016

Yana Virolainen1, Alexander Polyakov1, Georgy Nerobelov1, Dmitry Kozlov2, Yury Timofeyev1, Svetlana Akishina1
1 St Petersburg University 2 State Scientific Center of the Russian Federation - "M.V. Keldysh Research Center".

Ozone is one of the most important parameters of the Earth's atmosphere that affects climate, ecology and weather. Stratospheric ozone absorbs shortwave UV radiation from the Sun that is dangerous for the biosphere, tropospheric ozone is a greenhouse gas that also has a harmful effect on vegetation and human health in the lower troposphere.
 

Monitoring of atmospheric ozone content within the framework of the international system of remote sensing of the atmosphere is currently carried out using various equipment and observation geometries.
The Russian IKFS-2 instrument has been measuring the outgoing thermal IR radiation of the Earth-atmosphere system on the Meteor-M No. 2 series satellites since 2015. 

 

In this study, we analyze the distribution fields of total (TOC) and tropospheric (TrOC) ozone content in the period from 2015 to 2022, obtained from IKFS-2 spectrometric measurements using an original technique based on the use of artificial neural networks.
 

The possibilities of using IKFS-2 data for analyzing the evolution of the ozone layer during the occurrence of ozone anomalies, including during "polar nights", are demonstrated. Estimates of interannual changes in TOC for various regions of the globe are obtained.
 

The first estimates are obtained and an analysis of the distribution and change of TrOC fields is carried out both on a global and regional scale. It is shown that the satellite device IKFS-2 can be used to analyze the spatiotemporal variability of TrOC during periods of its content growth, caused, for example, by forest fires.
 

This research has been supported by:

  1. "St. Petersburg State University", grant 124032000025-1