Comparative study of the polar region ionospheric NmF2 and IRI-2016 models
Abstract The propagation of radio waves can be significantly affected by the ionosphere, which have a serious impact on broadcasting, communication, positioning and navigation. The International Reference Ionosphere (IRI) provides multiple ionospheric parameters for given location, time and date. In...
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crioppubl:10.1088/1742-6596/2306/1/012003 2024-06-02T08:05:58+00:00 Comparative study of the polar region ionospheric NmF2 and IRI-2016 models Liao, Xiaoqian Xu, Sheng 2022 http://dx.doi.org/10.1088/1742-6596/2306/1/012003 https://iopscience.iop.org/article/10.1088/1742-6596/2306/1/012003 https://iopscience.iop.org/article/10.1088/1742-6596/2306/1/012003/pdf unknown IOP Publishing http://creativecommons.org/licenses/by/3.0/ https://iopscience.iop.org/info/page/text-and-data-mining Journal of Physics: Conference Series volume 2306, issue 1, page 012003 ISSN 1742-6588 1742-6596 journal-article 2022 crioppubl https://doi.org/10.1088/1742-6596/2306/1/012003 2024-05-07T14:06:11Z Abstract The propagation of radio waves can be significantly affected by the ionosphere, which have a serious impact on broadcasting, communication, positioning and navigation. The International Reference Ionosphere (IRI) provides multiple ionospheric parameters for given location, time and date. In order to study the applicability of the IRI-2016 model in polar ionosphere, long-term observations from the dynasonde at Tromso (TRO), EISCAT Svalbard Radar (ESR) at Longyearbyen (LYB) and digisonde DPS-4 at Zhongshan (ZHS) were used to analyze the prediction accuracy of IRI model, with the help of mathematical statistics, correlation coefficients and time series. The data of F2 layer peak electron density (NmF2) are sorted as monthly medians of NmF2 for each hours, months, and solar activities. The results show that there is a good correlation between IRI prediction and observations during solar minimum years, with the correlation coefficients larger than 0.8 except winter at Longyearbyen, better than that during solar maximum years. The correlation decreases as latitude increases. It is the best at Tromso, and better at Zhongshan than at Longyearbyen. This suggests that the IRI-2016 model is mostly applicable at the auroral latitude station Tromso. But the IRI-2016 model has poor applicability at the cusp latitude station, both Zhongshan and Longyearbyen. Article in Journal/Newspaper EISCAT Longyearbyen Svalbard Tromso Tromso IOP Publishing Longyearbyen Svalbard Tromso ENVELOPE(16.546,16.546,68.801,68.801) Zhongshan ENVELOPE(76.371,76.371,-69.373,-69.373) Journal of Physics: Conference Series 2306 1 012003 |
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Abstract The propagation of radio waves can be significantly affected by the ionosphere, which have a serious impact on broadcasting, communication, positioning and navigation. The International Reference Ionosphere (IRI) provides multiple ionospheric parameters for given location, time and date. In order to study the applicability of the IRI-2016 model in polar ionosphere, long-term observations from the dynasonde at Tromso (TRO), EISCAT Svalbard Radar (ESR) at Longyearbyen (LYB) and digisonde DPS-4 at Zhongshan (ZHS) were used to analyze the prediction accuracy of IRI model, with the help of mathematical statistics, correlation coefficients and time series. The data of F2 layer peak electron density (NmF2) are sorted as monthly medians of NmF2 for each hours, months, and solar activities. The results show that there is a good correlation between IRI prediction and observations during solar minimum years, with the correlation coefficients larger than 0.8 except winter at Longyearbyen, better than that during solar maximum years. The correlation decreases as latitude increases. It is the best at Tromso, and better at Zhongshan than at Longyearbyen. This suggests that the IRI-2016 model is mostly applicable at the auroral latitude station Tromso. But the IRI-2016 model has poor applicability at the cusp latitude station, both Zhongshan and Longyearbyen. |
format |
Article in Journal/Newspaper |
author |
Liao, Xiaoqian Xu, Sheng |
spellingShingle |
Liao, Xiaoqian Xu, Sheng Comparative study of the polar region ionospheric NmF2 and IRI-2016 models |
author_facet |
Liao, Xiaoqian Xu, Sheng |
author_sort |
Liao, Xiaoqian |
title |
Comparative study of the polar region ionospheric NmF2 and IRI-2016 models |
title_short |
Comparative study of the polar region ionospheric NmF2 and IRI-2016 models |
title_full |
Comparative study of the polar region ionospheric NmF2 and IRI-2016 models |
title_fullStr |
Comparative study of the polar region ionospheric NmF2 and IRI-2016 models |
title_full_unstemmed |
Comparative study of the polar region ionospheric NmF2 and IRI-2016 models |
title_sort |
comparative study of the polar region ionospheric nmf2 and iri-2016 models |
publisher |
IOP Publishing |
publishDate |
2022 |
url |
http://dx.doi.org/10.1088/1742-6596/2306/1/012003 https://iopscience.iop.org/article/10.1088/1742-6596/2306/1/012003 https://iopscience.iop.org/article/10.1088/1742-6596/2306/1/012003/pdf |
long_lat |
ENVELOPE(16.546,16.546,68.801,68.801) ENVELOPE(76.371,76.371,-69.373,-69.373) |
geographic |
Longyearbyen Svalbard Tromso Zhongshan |
geographic_facet |
Longyearbyen Svalbard Tromso Zhongshan |
genre |
EISCAT Longyearbyen Svalbard Tromso Tromso |
genre_facet |
EISCAT Longyearbyen Svalbard Tromso Tromso |
op_source |
Journal of Physics: Conference Series volume 2306, issue 1, page 012003 ISSN 1742-6588 1742-6596 |
op_rights |
http://creativecommons.org/licenses/by/3.0/ https://iopscience.iop.org/info/page/text-and-data-mining |
op_doi |
https://doi.org/10.1088/1742-6596/2306/1/012003 |
container_title |
Journal of Physics: Conference Series |
container_volume |
2306 |
container_issue |
1 |
container_start_page |
012003 |
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1800750855298744320 |