Abstract
A system to process data from a 2D network of magnetic stations is proposed for the identification of eddy currents in the ionosphere and the estimation of their parameters. The methodology is applied to an analysis of the structure of daytime traveling convection vortices (TCVs) based on data from Arctic. The problem is solved with optimization methods for various functions obtained via spatial interpolation and subsequent data regularization. The developed approach makes it possible not only to find eddy structures automatically but also to determine the current values of their characteristic parameters: the spatial structure of the field aligned currents (FACs), and the group velocity of the horizontal propagation of the vortex along the ionosphere.
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9. ACKNOWLEDGMENTS
The authors express their gratitude to the national institutions that ensure the operability of the geomagnetic stations of the CARISMA (https://www.carisma.ca) and MACCS (http://space.augsburg.edu/maccs) networks and the availability of the data distributed through the SuperMAG resource (http://supermag.jhuapl.edu). We also appreciate the opportunity to use the data and facilities of the Common Use Center “Analytical Geomagnetic Data Center” of the GC RAS.
Funding
This work was carried out as part of the state assignments for Geophysical Center of the Russian Academy of Sciences (V.E. Chinkin and A.A. Soloviev) and the Schmidt Institute of Physics of the Earth of the Russian Academy of Sciences (V.A. Pilipenko) and approved by the Ministry of Science and Higher Education of the Russian Federation.
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Chinkin, V.E., Soloviev, A.A. & Pilipenko, V.A. Identification of Vortex Currents in the Ionosphere and Estimation of Their Parameters Based on Ground Magnetic Data. Geomagn. Aeron. 60, 559–569 (2020). https://doi.org/10.1134/S0016793220050035
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DOI: https://doi.org/10.1134/S0016793220050035