Principal component analysis of global maps of the total electronic content

Maslennikova, Yulia; Bochkarev, Vladimir V.

doi:10.1134/s0016793214020133

Cited by 6 publications

(3 citation statements)

References 14 publications

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“…Total electron content (TEC) of the ionosphere is a generalizing physical characteristic of the ionosphere state. The development of research methods and modeling the dynamics of TEC is predetermined, first, by the scientific interest in the problem of studying the upper part of the Earth's atmosphere, as well as by the necessity of solving a number of applied tasks in the field of providing a stable radio communication, satellite navigation, and radar systems [Maslennikova & Bochkarev, 2014;Afraymovych, 2006;Zhang & Zhao, 2018].…”

Section: Introductionmentioning

confidence: 99%

Geodesy, Cartography and Aerial Photography

Hiriak¹,

Savchuk²

2019

ISTCGCAP

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The purpose of this work lies in comparing and defining the differences between the measured values of the total electron content (TEC) and the corresponding TEC values, obtained according to global ionospheric map (GIM) data in different periods of solar activity. Methodology. The TEC and the data of global ionospheric maps (GIM) for the SULP station were used in the work, as well as the data from the Ionolab website for better clarity, where the nodal values of the TEC are essentially used, from the same global ionospheric maps (GIM). The essence of the research was to compare the values of TEC, obtained by the two above-mentioned methods in different periods of solar activity (a high solar activity-data for 2013, a low solar activity-for 2018). Results. It was determined that the differences of TEC at a low solar activity are mostly negative and reach ≈8 ТЕСU, and at the peak of solar activity both were measured and the model TEC values were basically the same and varied in range from 0.3 to 6.8 ТЕСU. Scientific novelty. The variations of the values of total electron content TEC for the SULP station in different periods of the manifestation of solar activity were obtained and given and it was established that at a low solar activity the measured TEC values prevail over the model values by more than 20 % and do not exceed ≈6 ТЕСU, and at a high solar activity both the model and the measured values are practically the same and range approximately from 4 to 31 TECU. Practical significance. The results obtained can be used for constructing regional maps and the velocities and direction of ionospheric stain movements, as well as in solving some issues for a certain region.

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Section: Introductionmentioning

confidence: 99%

Geodesy, Cartography and Aerial Photography

Hiriak¹,

Savchuk²

2019

ISTCGCAP

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“…Fourier analysis) when the phenomena under study are not necessarily a superposition of determinate function components. Within recent 20 years it became popular for identifying the principal modes of various spatial or temporal variability of physical fields of the atmosphere and ionosphere [Nerem et al, 1994[Nerem et al, , 1997Natali, 2010, 2011;Maslennikova et. al., 2014].…”

Section: Principal Component Analysismentioning

confidence: 99%

“…It was recently proven that the PCA is an efficient tool for analyzing the annual, semiannual, and seasonal effects in the global TEC [Natali and Meza 2011]. It was showed that the obtained components of the PCA decomposition essentially depend on the representation of original dataset, such as data centering and coordinate systems [Maslennikova et al, 2014]. However, these works only utilized a limited dataset of the assumed time epochs (e.g.…”

Section: Introductionmentioning

confidence: 99%

Temporal and spatial variations of global ionospheric total electron content under various solar conditions

Liu

Hernández‐Pajares

Liang

et al. 2016

J Geod

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Key points• Spatial and temporal variability of the ionosphere for a solar cycle and different local times • The PCA discloses periodic variations as well the spatiotemporal asymmetries • Newly found trend and characteristic epochs of the variability with respect to local times Abstract: By utilizing the numerical technique of principal component analysis (PCA), this work investigated temporal and spatial variations of the ionosphere under the various solar conditions. Global ionospheric total electron content (TEC) maps of 1999-2013 derived from Global Navigation Satellite Systems (GNSS) used in this work were reorganized according to local time (LT). Applying the PCA technique to the time series of global TEC maps provides an efficient method to analyze the main ionospheric variability on a global scale, and it is able to decompose periodic variations (e.g. annual and semiannual oscillations), as well retain the asymmetry in temporal and spatial domains (e.g. seasonal and equator anomalies). The TEC series of different local times are processed separately in two time scales: the whole 15 years of the period of study and individual years. Different from previous studies, the analysis on the dataset of the 15 years showed that dawn time (e.g. LT4:00) and later morning (LT10:00-12:00) are more remarkable characteristic epochs for the ionosphere variability. This study showed also a cyclic trend of the variability with respect to local times. The first two modes, which contain 80%-90% of the total variance, represent spatial distributions and temporal variations with respect to different characteristic stages of a solar cycle and local times. Annual and semiannual variations are demodulated from the first two modes, and the results showed that these oscillation variations have evidently different patterns for daytime and nighttime. An exception is that, under active solar conditions, extremely strong solar irradiance of daytime has remaining effect on the variability of the ionosphere even after the sunset.

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Model of the global distribution of the total electron content based on deep dense convolutional autoencoder

Khristoforov¹,

Bochkarev

2018

J. Phys.: Conf. Ser.

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Principal component analysis of global maps of the total electronic content

Cited by 6 publications

References 14 publications

Geodesy, Cartography and Aerial Photography

Geodesy, Cartography and Aerial Photography

Temporal and spatial variations of global ionospheric total electron content under various solar conditions

Model of the global distribution of the total electron content based on deep dense convolutional autoencoder

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