2020
DOI: 10.1029/2020rs007079
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A Methodology for Estimation of Hourly‐Monthly Stochastic Trend Characteristics of Midlatitude Ionosphere

Abstract: Spatiotemporal variability of ionosphere poses a major challenge in characterization of observable parameters, critical frequency of F2 layer (foF2), maximum ionization height (hmF2), total electron content (TEC), and slab thickness. The nature of the multiscale space-time variability of ionosphere can be modeled as a random field. In this study, as a first step in random field modeling of the trend, hourly-monthly parametric probability density functions (PPDF) of foF2, hmF2, slab thickness, and TEC are obtai… Show more

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Cited by 2 publications
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“…The years for which the annual average SSN was between 50 and 100, as well as annual average F10.7 that was between 100 and 130 sfu, were considered to be moderate activity years, as detailed in [38] For the formation of an hourly monthly model matrix, we chose the month of April as an example. It was observed that the spring equinox season ended around the 10th to 14th of April, and the summer season started in the northern midlatitude ionosphere [58][59][60]. Therefore, in the month of April, there are usually some severe geomagnetic storms, along with a large number of quiet days.…”
Section: Resultsmentioning
confidence: 99%
“…The years for which the annual average SSN was between 50 and 100, as well as annual average F10.7 that was between 100 and 130 sfu, were considered to be moderate activity years, as detailed in [38] For the formation of an hourly monthly model matrix, we chose the month of April as an example. It was observed that the spring equinox season ended around the 10th to 14th of April, and the summer season started in the northern midlatitude ionosphere [58][59][60]. Therefore, in the month of April, there are usually some severe geomagnetic storms, along with a large number of quiet days.…”
Section: Resultsmentioning
confidence: 99%