Technique for Determining Tropospheric Ozone Content from Spectral Measurements of Outgoing Thermal Radiation by the IKFS-2 Satellite Instrument

A technique for determining the tropospheric ozone (TO) content from the spectra of outgoing thermal infrared (IR) radiation based on the principal component method and neural network approach is proposed. To train the artificial neural networks, TO data calculated from ozone profiles of vertical oz...

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Bibliographic Details
Published in:Izvestiya. Atmospheric and oceanic physics 2024-10, Vol.60 (5), p.533-543
Main Authors: Polyakov, A. V., Virolainen, Ya. A., Nerobelov, G. M., Akishina, S. V.
Format: Article
Language:English
Subjects:
Artificial neural networks
Climatology
Earth and Environmental Science
Earth Sciences
Earth surface
Emission measurements
Geographical distribution
Geographical locations
Geophysics/Geodesy
Ground stations
Infrared spectra
Infrared spectroscopy
Neural networks
Ozone
Ozone profiles
Ozonesondes
Radiation
Radiation measurement
Satellite data
Satellite instruments
Satellites
Spectra
Thermal radiation
Troposphere
Tropospheric ozone
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Summary:A technique for determining the tropospheric ozone (TO) content from the spectra of outgoing thermal infrared (IR) radiation based on the principal component method and neural network approach is proposed. To train the artificial neural networks, TO data calculated from ozone profiles of vertical ozone content derived from ozonesondes are used. The TCO is considered the ozone content in the atmospheric layers from the earth’s surface to pressure levels of 400 and 300 hPa. The error of approximating TO values on training data is 2.7 and 3.6 DU for layers below 400 and 300 hPa, respectively. The methodology is validated on the basis of comparison with ground-based TO measurements at the NDACC international observing network of stations using solar infrared spectra. The mean standard deviations of the differences between the ground-based infrared measurements at 19 stations and the derived TO values from the IKFS-2 data were about 3 DU. The mean differences depend on the altitude and geographical location of the ground station, varying from +3 to –12 DU. The discrepancies between the ground-based measurements and satellite data correspond to the results of other authors obtained for the IASI satellite instrument, which is close in characteristics. The paper presents examples of the global distribution of mean monthly TO values for different seasons.
ISSN:0001-4338
1555-628X
DOI:10.1134/S000143382470049X