Identification of Pc4 type geomagnetic pulsations using big data methods In matlab environment
https://doi.org/10.17586/0021-3454-2024-67-6-475-480
Abstract
Geomagnetic pulsations, which usually mean a change in the strength of the geomagnetic field in different frequency ranges depending on time and various factors, can be formally represented as magnetohydrodynamic waves in the near-Earth plasma. On the Earth’s surface, geomagnetic pulsations can be isolated from ultra-low-frequency electromagnetic oscillations recorded, for example, in geomagnetic observatories. Geomagnetic pulsations contain various information, for example, about environmental parameters in the areas of their generation; about the features of the development of geomagnetic storms and substorms. The features of working with one of the most common types of geomagnetic pulsations — type Pc4, with an oscillation period of 45–150 s, are analyzed. The processed data is obtained from the international INTERMAGNET network. Since the volume of such data exceeds the amount of computer RAM, BigData technologies implemented in the MATLAB environment are used.
Keywords
Big Data,
Filter Design,
INTERMAGNET,
MATLAB,
Pc4,
tall array,
geomagnetic observatory,
Earth’s magnetic field,
bandpass filter,
data storage
Supporting agencies: The work was supported by the Russian Science Foundation, grant No. 23-27-00011.
About the Author
A. g Korobeynikov
Pushkov Institute of Terrestrial Magnetism, Ionosphere, and Radio Wave Propagation of the RAS, St. Petersburg Branch
Russian Federation
Russian Federation
Anatoly G. Korobeynikov — Dr. Sci., Professor; Pushkov Institute of Terrestrial Magnetism, Ionosphere,
and Radio Wave Propagation of the RAS, Directorate
St. Petersburg
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Review
For citations:
Korobeynikov A.g. Identification of Pc4 type geomagnetic pulsations using big data methods In matlab environment. Journal of Instrument Engineering. 2024;67(6):475-480. (In Russ.) https://doi.org/10.17586/0021-3454-2024-67-6-475-480
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