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

Autor:	Bloshchinskiy, V. D., Kuchma, M. O., Kukharsky, A. V.
Předmět:	ATMOSPHERIC ozone GEOSTATIONARY satellites ARTIFICIAL neural networks SPACE vehicles OZONE
Zdroj:	Izvestiya, Atmospheric & Oceanic Physics; Dec2022, Vol. 58 Issue 12, p1627-1632, 6p
Abstrakt:	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. [ABSTRACT FROM AUTHOR]
Databáze:	Complementary Index
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