Analysis of Relationship Between Ionospheric and Solar Parameters Using Graphical Models
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378289%3A_____%2F21%3A00542098" target="_blank" >RIV/68378289:_____/21:00542098 - isvavai.cz</a>
Result on the web
<a href="https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2020JA029063" target="_blank" >https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2020JA029063</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1029/2020JA029063" target="_blank" >10.1029/2020JA029063</a>
Alternative languages
Result language
angličtina
Original language name
Analysis of Relationship Between Ionospheric and Solar Parameters Using Graphical Models
Original language description
For the investigation of time variations of critical frequency (foF2), solar radiation flux at 10.7 cm wavelength (F10.7 index) and geomagnetic activity index Kp, we use conditional independence graphical models which describe and transparently represent the structure of relationships in the time series. We employ multivariate statistic methods applied to daily observational data obtained from midlatitude ionosondes within the period 1994–2009 (23rd Solar Cycle). It is demonstrated that conditional independence graphical models represent a robust method of multivariate statistical analysis, useful for finding a relation between one of the main ionospheric parameters and space weather conditions. This method appears to be more appropriate than correlation analysis between foF2 and the main geomagnetic and solar indices, especially for long‐term data for which the model characteristics may change or time series can be interrupted. We compare the results obtained by the graphical models method with cross‐correlation analysis. We found that the method is suitable for the analysis of the dependence between foF2 values and time‐shifted F10.7 time series. In particular, we clearly identified +0 day shift in all cases, and +1‐, +2–3‐, and +4–5‐day shifts in European, American, and East Asia sector, respectively. The conditional independence graphs method can be applied even in the case when classical parametric methods are not convenient.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10509 - Meteorology and atmospheric sciences
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Geophysical Research-Space Physics
ISSN
2169-9380
e-ISSN
2169-9402
Volume of the periodical
126
Issue of the periodical within the volume
5
Country of publishing house
US - UNITED STATES
Number of pages
16
Pages from-to
e2020JA029063
UT code for WoS article
000657463000007
EID of the result in the Scopus database
2-s2.0-85107182730