An analysis of variation of geomagnetic field parameters upon applying the theory of covariance functions

• Autorzy: Skeivalas Jonas , Obuchovski Romuald

Identyfikatory

DOI

10.24425/mms.2019.128364

• Języki publikacji: EN

Abstrakty

EN

In the paper, the variation of the intensity of the geomagnetic field force is analysed in time and space. For the research, the data from measurements of the intensity of the geomagnetic field force at four airports (Kaunas, Klaipéda, Palanga and Vilnius) and 6 geomagnetic field repeat stations as well as the data from Belsk Magnetometric Observatory (Poland) were used. For the data analysis, the theory of covariance functions was applied. The estimates of the cross-covariance functions of the measured intensity of the geomagnetic field force or the estimates of auto-covariance functions of single data were calculated according to the random functions created from the force intensity measurement data arrays. The estimates of covariance functions were calculated upon varying the quantization interval on the time scale and applying the software created using Matlab package of procedures. The impact of radars of airports on the intensity of geomagnetic field variation and on changes of their covariance functions was established.

Słowa kluczowe

EN

geomagnetic field parameters; covariance function; quantization interval

• Wydawca: Komitet Metrologii i Aparatury Naukowej PAN
• Czasopismo: Metrology and Measurement Systems
• Rocznik: 2019
• Tom: Vol. 26, nr 2
• Strony: 363--376
• Opis fizyczny: Bibliogr. 14 poz., wykr., wzory

Twórcy

autor

Skeivalas Jonas

• Vilnius Gediminas Technical University, Department of Geodesy and Cartography, Saulétekis 11, LT-10223 Vilnius, Lithuania

autor

Obuchovski Romuald

• Vilnius Gediminas Technical University, Department of Geodesy and Cartography, Saulétekis 11, LT-10223 Vilnius, Lithuania

Bibliografia

• [1] Olsen, N. (1996). Magnetospheric contributions to geomagnetic daily variations. Annales Geophysicae, 14(5), 538-544.
• [2] Watermann, J., Gleisner, H. (2009). Geomagnetic variations and their time derivatives during geomagnetic storms at different levels of intensity. Acta Geophysica, 57(1), 197-208.
• [3] Danilov, A., Krymskii, G.F., Makarov, G.A. (2013). Geomagnetic activity as a reflection of processes in the magnetospheric tail: 1. The source of diurnal and semiannual variations in geomagnetic activity. Geomagnetism and Aeronomy, 53(4), 441-447.
• [4] Kohsiek, A., Glassmeier, K.H., Hirooka, T. (1995). Periods of planetary waves in geomagnetic variations. Annales Geophysicae, 13(2), 168-176.
• [5] Sas-Uhrynowski, A., Karatayev, H., Mroczek, S., Karagodina, O. (2000). Badania zmian wiekowych pola geomagnetycznego na terytorium Polski I Białorusi. Prace IGiK, 47(100), 25-34.
• [6] Sas-Uhrynowski, A., Mroczek, S., Abromavičius, R., Obuchowski, R. (2002). New Investigations of Lithuania. Geodesy and Cartography, 28(3), 88-94.
• [7] Marianiuk, J., Reda, J. (2001). Results of geomagnetic observations, Belsk, 2000. Publications of the Institute of geophysics, Polish Academy of Science, C-79(328), 110.
• [8] Ekstrom, M., McEwen, A. (1990). Adaptive box filters for removal of random noise from digital images, Photogrammetric Engineering and Remote Sensing, 56(4), 453.
• [9] Chern, S., Shih, W., Hung, L., Jhih, W. (2017). Measurement of Surface Profile and Surface Roughness of Fibre-Optic Interconnect by Fast Fourier Transform. Metrol. Meas. Syst., (24)2, 381-390.
• [10] Horgan, G. (1998). Wavelets for SAR image smoothing. Photogrammetric Engineering and Remote Sensing, 64(12), 1171.
• [11] Antoine, J.P. (2000). Wavelet analysis of signals and images. A grand tour, Revista Ciencias Matematicas 18, 113-143.
• [12] Dutkay, D.E., Jorgensen, P.E.T. (2004). Wavelets on fractals. Rev. Mat. Iberoamericana, 22, 131–180.
• [13] Skeivalas, J., Sas-Uhrynowski, A., Obuchovski, R. (2008). Analysis of Earth's magnetic field changes by correlation of its parameters. Geodesy and Cartography, 34(3), 88-91.
• [14] Arkani, M., Khalafi, H., Vosoughi, N., Khakshournia, S. (2017). Development and Experimental Validation of a Correlation Monitor Tool Based on the Endogenous Pulsed Neutron Source Technique. Metrol. Meas. Syst., (24)3, 441-461.

Uwagi

PL

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).