COSPAR 2019

Using SWARM satellite mission to study the effects of large tropical cyclones on the ionosphere

Victor I. Zakharov 1,2 Vyacheslav A. Pilipenko 3,4 Valerii A. Grushin 4
1Faculty of Physics, M.V.Lomonosov's Moscow State University, Moscow, Russia
2LTWP, A.M. Obukhov Institute of Atmospheric Physics RAS, Moscow, Russia
3Lab. 402, O.Yu.Shmidt Institute of Physics of the Earth, Moscow, Russia
4Sect. 54, Space Research Institute (SRI) RAS, Moscow, Russia

Now it is known that the power phenomena occurring in the system of the geospheres can influence on the Earth`s ionosphere. In our work, the largest (more 4th category on the Saffir – Simpson scale, total - 19 cases) tropical cyclons (TC) with warm core in 2014 were considered.

We create original methods for analyzing SWARM plasma electron density data. The essence of the first method is to consider the ionospheric response corresponding to the characteristic wave disturbances in the atmosphere associated with the TCs. The second approach uses the capabilities of the positioning system of the SWARM satellites for estimation of the electron density spatial derivatives.

Some results. Our consideration has shown that in the periods of development of powerful TCs, various manifestations of atmospheric-ionospheric connections are observed (total statistics - above 100 cases). First, we recorded wave-like oscillations of the electron density in the frequency band of 10...200s with localization and characteristic of AGW - see fig.1. The relative magnitude of the disturbance reaches to 10% in the selected frequency band. Second, in some cases, we identify areas that can be explained by electric field perturbation transfer to ionosphere.

Fig_Abstract_Zakharov

Conclusions. Our results can be considered as illustration of the complex system of transmitting disturbances of different scales from the lower atmosphere to ionospheric heights. Highly likely, this mechanisms are more complicated.

The study was done in the framework of the state scientific task of MSU and SRI RAS and partial supported by the RFBR projects 19-05-00941 and 18-05-00108.









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