Z. Zbyszynski
Polish Academy of Sciences
17 Papers
117 Citations
Z. Zbyszynski is an academic researcher from Polish Academy of Sciences. The author has contributed to research in topics: Ionosphere & Electron. The author has an hindex of 7, co-authored 17 publications. Previous affiliations of Z. Zbyszynski include Space Research Centre.
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Papers
The kriging method of TEC instantaneous mapping
Iwona Stanislawska,G. Juchnikowski,Lj.R. Cander,L. Ciraolo,P. A. Bradley,Z. Zbyszynski,Anna Swiatek +6 more
TL;DR: In this article, the spatial variations of total electron content (TEC) over the European area for single epochs are examined using a so-called instantaneous mapping procedure applied to simultaneous data collected from a limited number of measuring stations.
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COST 251 recommended instantaneous mapping model of ionospheric characteristics — PLES
TL;DR: In this article, the PLES instantaneous mapping model for ionospheric foF2 and M(3000)F2 has been presented, which combines monthly median maps and a set of screen points consisting of measurements for a single moment of time as well as single station longterm models.
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Forecasting of the ionospheric quiet and disturbed ƒoF2 values at a single location
Iwona Stanislawska,Z. Zbyszynski +1 more
TL;DR: In this paper, the autocovariance prediction method has been used for ionospheric forecasting of 1, 2, 4, 8, and 12 hours ahead at a single location.
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Forecasting of ionospheric characteristics during quiet and disturbed conditions
Iwona Stanislawska,Z. Zbyszynski +1 more
TL;DR: In this paper, an autocovariance forecasting procedure for single location ionospheric characteristics is presented, illustrated as a function of the amount of time extrapolation for selected European stations under quiet and disturbed conditions.
Generation of instantaneous maps of ionospheric characteristics
TL;DR: In this article, a method of producing limited area instantaneous maps of ionospheric characteristics is presented, where an interpolation technique is applied for construction of the mapping model, which combines monthly median maps and a set of measurements for a single moment of time that are exactly replicated during mapping procedure.
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