Complex analysis of the ionosphere variations during the geomagnetic storm at 20 January 2010 performed by Detection of Ionosphere Anomalies (DIA) software and DEMETER satellite data

Lozbin A. Fedun V. Kryakunova O.
28 January 2022 Copernicus GmbH

Annales Geophysicae
2022 #40 Issue 1 55 - 65 pp.

The Detection of Ionosphere Anomalies (DIA) software was developed and used for ionosphere research in the Institute of Space Technique and Technology of the National Center of Space Research and Technology (Almaty, Republic of Kazakhstan). The software was designed for ionosphere anomalies detection, identification, and analysis from satellite spectral and wave data from scientific payloads installed on the DEMETER (Detection of Electro-Magnetic Emissions Transmitted from Earthquake Regions) satellite. The main task of DIA software is to provide the researcher with a convenient package for detection and identification of the sources of electromagnetic radiation, variations of the ionic and electronic components of the ionosphere, and other ionosphere parameters from satellite data. Using this software, a complex research of the state of the medium-latitude ionosphere during a geomagnetic storm on 20 January 2010 was done. Electric and magnetic components of the field in ultralow frequency (ULF), extremely low frequency (ELF), and very low frequency (VLF) bands are processed and analyzed, as well as temperature, velocity, and density of ionic and electronic plasma components and fluxes of energetic electrons at satellite altitude during a storm.

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Scientific Space Systems Laboratory, Institute of Space Technique and Technology, 34, Kislovodskaya St., Almaty, Kazakhstan
Plasma Dynamics Group, Department of Automatic Control and Systems Engineering, University of Sheffield, Mappin 6 St., Sheffield, S1 3JD, United Kingdom
Laboratory of Space Weather Diagnostic and Forecasting, Institute of Ionosphere, 117, Kamenskoe Plato, Almaty, Kazakhstan

Scientific Space Systems Laboratory
Plasma Dynamics Group
Laboratory of Space Weather Diagnostic and Forecasting

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