st. Petersburg State University, Planetary Research Center and MV Keldysh Research Center have developed a neural network that will help the Meteor-M series of Russian meteorological satellites measure ozone content in the atmosphere.
Ozone is a gaseous substance found mainly in the Earth’s atmosphere at an altitude of 10 to 50 km and plays a vital role here – it absorbs ultraviolet radiation from the Sun and thus protects living organisms on the Earth’s surface from it. In addition, it plays a role in regulating the temperature on Earth by absorbing some of the sun’s heat.
In the Meteor-M series of Russian satellites, the IKFS-2 device is used for meteorological sounding of the atmosphere. However, the outgoing radiation spectra it measures contain not only meteorological information, but also data on the composition of the atmosphere.
Based on 19 million spectra obtained by IKFS-2 over six years and data on the composition of the atmosphere from the Aura satellite, Russian scientists have developed a neural network for measuring ozone content. Comparing data obtained using the algorithm developed by the physicists with information from ground-based instruments and satellites for ozone measurement showed an inconsistency of less than 3%.
Petersburg University professor Alexander Polyakov said that the next launch of Meteor-M satellites, on which the new neural network is installed, is planned this summer.
Source: Ferra
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