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17 October 2023 Information retrieval from long term mesospheric data series: an improvement of excited hydroxyl airglow model
Mikhail V. Belikovich, Mikhail Yu. Kulikov, Alexey G. Chubarov, Alexander V. Feigin
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Proceedings Volume 12780, 29th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics; 1278075 (2023) https://doi.org/10.1117/12.2690254
Event: XXIX International Symposium "Atmospheric and Ocean Optics, Atmospheric Physics", 2023, Moscow, Russian Federation
Abstract
The components of the mesosphere lower thermosphere region satisfy the algebraic relations resulting from the photochemistry. Applications of this relations to already self-sufficient measurements leads to a certain redundancy in form of functional relationship between the measured quantities. Airglow models are the key element in mesospheric measurements. The work considers the application of these relationships to satellite data series in order to improve airglow model (of excited hydroxyl). We investigate the problem in its general formulation. Using probabilistic approach we derive the method to determine airglow model coefficients analyzing long term observations. An upper estimate is made for the number of independently determined coefficients of the model.
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Mikhail V. Belikovich, Mikhail Yu. Kulikov, Alexey G. Chubarov, and Alexander V. Feigin "Information retrieval from long term mesospheric data series: an improvement of excited hydroxyl airglow model", Proc. SPIE 12780, 29th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 1278075 (17 October 2023); https://doi.org/10.1117/12.2690254
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KEYWORDS
Data modeling
Atmospheric modeling
Matrices
Thermosphere
Vector spaces
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