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Determination of the Total Ozone Content in Atmospheric Column according to the Data of Electro-L No. 3 Spacecraft Using Neural Networks Satellite

  • METHODS AND TOOLS FOR PROCESSING AND INTERPRETATION OF SPACE INFORMATION
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Abstract—

The paper considers a method for retrieval of the total ozone content in the atmospheric column on the basis of artificial neural networks according to the MSU-GS instrument of the Electro-L No. 3 geostationary spacecraft. The tests and comparisons of the retrieved values of the total ozone content according to the MSU-GS data with the ground-based measurements from the AERONET and WOUDC archives, as well as with satellite estimates based on the OMPS instrument data, show a high correlation and accuracy. The mean absolute error when compared with OMPS is 1.9 DU; with AERONET, 13.4; and with WOUDC, 15.7. The correlations are 99.8%, 89.6% and 86.9%, respectively. The results obtained indicate good accuracy and efficiency of the proposed method for retrieval of the total ozone content.

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Authors and Affiliations

  1. Far-Eastern Center of State Research Center for Space Hydrometeorology “Planeta”, Khabarovsk, Russia

    V. D. Bloshchinskiy & M. O. Kuchma

  2. State Research Center for Space Hydrometeorology “Planeta”, Moscow, Russia

    A. V. Kukharsky

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  1. V. D. Bloshchinskiy
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  2. M. O. Kuchma
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  3. A. V. Kukharsky
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Correspondence to V. D. Bloshchinskiy.

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Bloshchinskiy, V.D., Kuchma, M.O. & Kukharsky, A.V. Determination of the Total Ozone Content in Atmospheric Column according to the Data of Electro-L No. 3 Spacecraft Using Neural Networks Satellite. Izv. Atmos. Ocean. Phys. 58, 1627–1632 (2022). https://doi.org/10.1134/S0001433822120040

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