New Technique for Satellite Observation Interpretation Based on Standard Ground-Based Measurements of the Total Ozone Column

A new technique for retrieving the total ozone column (TOC) by interpreting satellite measurements of outgoing thermal radiation of the Earth (IKFS-2 spectrometer, Russian satellite Meteor-M No. 2) is suggested and analyzed. The technique is based on an inverse operator which is constructed using gr...

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Veröffentlicht in:Atmospheric and oceanic optics 2023-06, Vol.36 (3), p.207-212
Hauptverfasser: Timofeyev, Yu. M., Nerobelov, G. M., Kobzar, G. V., Solomatnikova, A. A.
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container_issue 3
container_start_page 207
container_title Atmospheric and oceanic optics
container_volume 36
creator Timofeyev, Yu. M.
Nerobelov, G. M.
Kobzar, G. V.
Solomatnikova, A. A.
description A new technique for retrieving the total ozone column (TOC) by interpreting satellite measurements of outgoing thermal radiation of the Earth (IKFS-2 spectrometer, Russian satellite Meteor-M No. 2) is suggested and analyzed. The technique is based on an inverse operator which is constructed using ground-based standard observations (Dobson and Brewer spectrophotometers) and satellite measurements of TOC along with multilinear regression. The technique is analyzed with the standard ground-based Dobson measurements of TOC at Voeikov station, Leningrad oblast (Voeikov Main Geophysical Observatory). The analysis shows that multilinear regression between the ground-based and satellite data allows approximating TOC in Voeikovo for 2015–2020 with an error of 2.8% and a correlation coefficient (CC) of 0.97. The TOC time series retrieved from the solution of the inverse problem by the regression method has an error of 3.1% and a CC of 0.97. The technique suggested can be used for different regions of with TOC retrieved from ozone measurements at World Meteorological Organization (WMO) stations.
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The analysis shows that multilinear regression between the ground-based and satellite data allows approximating TOC in Voeikovo for 2015–2020 with an error of 2.8% and a correlation coefficient (CC) of 0.97. The TOC time series retrieved from the solution of the inverse problem by the regression method has an error of 3.1% and a CC of 0.97. 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The analysis shows that multilinear regression between the ground-based and satellite data allows approximating TOC in Voeikovo for 2015–2020 with an error of 2.8% and a correlation coefficient (CC) of 0.97. The TOC time series retrieved from the solution of the inverse problem by the regression method has an error of 3.1% and a CC of 0.97. 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subjects Correlation coefficient
Correlation coefficients
Emission measurements
Geophysical observatories
Ground-based observation
Inverse problems
Inverse Problems of Atmospheric and Ocean Optics
Lasers
Optical Devices
Optics
Ozone
Photonics
Physics
Physics and Astronomy
Regression
Satellite observation
Satellites
Spectrophotometers
Thermal radiation
Total organic carbon
title New Technique for Satellite Observation Interpretation Based on Standard Ground-Based Measurements of the Total Ozone Column
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