Abstract. An airglow all-sky imager was operated at Comandante Ferraz Antarctica Station (62.1 • S, 58.4 • W), between April and October of 2007. Mesospheric gravity waves were observed using the OH airglow layer during 43 nights with good weather conditions. The waves presented horizontal wavelengths between 10 and 60 km and observed periods mainly distributed between 5 and 20 min. The observed phase speeds range between 5 m/s and 115 m/s; the majority of the wave velocities were between 10 and 60 m/s. The waves showed a preferential propagation direction towards the southwest in winter (May to July), while during spring (August to October) there was an anisotropy with a preferential propagation direction towards the northwest. Unusual mesospheric fronts were also observed. The most probable wave source could be associated to orographic forcing, cold fronts or strong cyclonic activity in the Antarctica Peninsula.

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The increased on demand from orbiting satellites in operation according to the National Institute for Space Research's satellite program has motivated continuous improvement safety in the planning of routine operations in order to ensure the integrity of satellites in orbit. Therefore, we propose a mathematical model based on artificial intelligence concepts, which uses algorithms developed for machine learning in the analysis of operational data to predict future states of satellites. The application developed from this data mining predictive model is also presented as an alternative to expensive simulators to perform prediction of satellites operating conditions, reducing costs of control activities of the satellites in orbit.

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Abstract. The perspectives of multiple launchings, in the near

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