A storm-time global electron density reconstruction model in three-dimensions based on artificial neural networks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378289%3A_____%2F25%3A00617948" target="_blank" >RIV/68378289:_____/25:00617948 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S0273117724001431?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0273117724001431?via%3Dihub</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.asr.2024.02.014" target="_blank" >10.1016/j.asr.2024.02.014</a>
Alternative languages
Result language
angličtina
Original language name
A storm-time global electron density reconstruction model in three-dimensions based on artificial neural networks
Original language description
We present results of a dedicated global storm-time model for the reconstruction of ionospheric electron density in three-dimensions. Using the storm criterion of Dst P 50 nT and Kp P 4, the model is constructed using a combination of radio occultation and ionosonde data during the periods of 2006-2021 and 2000-2020, respectively. From the ionosonde data, only the bottomside electron density profiles up to the maximum height of the F2 layer (hmF2) are considered. In addition to the selection of storm-time data only for the model development, we have investigated the inclusion of time history for the geomagnetic storm indicator Kp at 9 and 33 h in an attempt to take into account the delay of physical processes related to atmospheric gravity waves or traveling ionospheric disturbances and thermospheric composition changes which drive varying ionospheric storm effects during storm conditions. Based on incoherent scatter radar data and in comparison with the IRI 2020 model, the developed storm-time model provides foF2 modelling improvement of above 50% during the storm main phase over Millstone Hill (42.6 degrees N, 71.5 degrees W) and Tromso (69.6 degrees N, 19.2 degrees E) for the storm periods of 3-6 November 2021 and 23-25 March 2023, respectively. Modelled results for Jicamarca (11.8 degrees S, 77.2 degrees W) show that the storm-time model estimates foF2 by an improvement of over 20% during the main phase of the 07-10 September 2017 storm period. As the ionospheric conditions return to quiet time levels, the IRI 2020 model perform better than the constructed storm-time model (c) 2024 COSPAR. Published by Elsevier B.V. All rights reserved.
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
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Advances in Space Research
ISSN
0273-1177
e-ISSN
1879-1948
Volume of the periodical
75
Issue of the periodical within the volume
5
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
20
Pages from-to
4327-4346
UT code for WoS article
001431270100001
EID of the result in the Scopus database
2-s2.0-85186551214