Statistical modeling of the coupled F‐region Ionosphere‐Thermosphere at high latitude during polar darkness

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Statistical modeling of the coupled F‐region Ionosphere‐Thermosphere at high latitude during polar darkness. / Dorrian, Gareth; Wood, Alan; Ronksley, Amy; Aruliah, Anasuyah; Shahtahmassebi, Golnass.

In: Journal of Geophysical Research: Space Physics, Vol. 124, No. 2, 22.03.2019, p. 1389–1409.

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Dorrian, Gareth ; Wood, Alan ; Ronksley, Amy ; Aruliah, Anasuyah ; Shahtahmassebi, Golnass. / Statistical modeling of the coupled F‐region Ionosphere‐Thermosphere at high latitude during polar darkness. In: Journal of Geophysical Research: Space Physics. 2019 ; Vol. 124, No. 2. pp. 1389–1409.

Bibtex

@article{2368bebeb4114744953556015f271519,
title = "Statistical modeling of the coupled F‐region Ionosphere‐Thermosphere at high latitude during polar darkness",
abstract = "Statistical models have been developed for predicting the behavior of the coupled high‐latitude ionosphere‐thermosphere system. The modeled parameters were the F‐layer peak electron density, plasma structuring, ion temperature, neutral temperature, and the difference between these temperatures, which is a key term in the Joule heating equation. Ionospheric measurements from the European Incoherent Scatter Svalbard Radar and neutral atmosphere measurements from the colocated University College London Fabry‐Perot Interferometers have been made across a solar cycle. These data were all acquired during nighttime conditions as the observations with the Fabry‐Perot Interferometers are restricted to such times. Various geophysical proxies were tested to represent the processes that influence the modeled parameters. The dominant geophysical proxy for each modeled parameter was then determined. Multivariate models were also developed showing the combinations of parameters that best explained the observed variability. A comparison with climatology showed that the models give an improvement in every case with skill scores based on the mean square error of up to 0.88.",
keywords = "ionosphere‐thermosphere coupling, Joule heating, ionosphere plasma, space weather, linear modeling, climatology",
author = "Gareth Dorrian and Alan Wood and Amy Ronksley and Anasuyah Aruliah and Golnass Shahtahmassebi",
year = "2019",
month = mar,
day = "22",
doi = "10.1029/2018JA026171",
language = "English",
volume = "124",
pages = "1389–1409",
journal = "Journal of Geophysical Research: Space Physics",
issn = "2169-9380",
publisher = "Wiley-Blackwell",
number = "2",

}

RIS

TY - JOUR

T1 - Statistical modeling of the coupled F‐region Ionosphere‐Thermosphere at high latitude during polar darkness

AU - Dorrian, Gareth

AU - Wood, Alan

AU - Ronksley, Amy

AU - Aruliah, Anasuyah

AU - Shahtahmassebi, Golnass

PY - 2019/3/22

Y1 - 2019/3/22

N2 - Statistical models have been developed for predicting the behavior of the coupled high‐latitude ionosphere‐thermosphere system. The modeled parameters were the F‐layer peak electron density, plasma structuring, ion temperature, neutral temperature, and the difference between these temperatures, which is a key term in the Joule heating equation. Ionospheric measurements from the European Incoherent Scatter Svalbard Radar and neutral atmosphere measurements from the colocated University College London Fabry‐Perot Interferometers have been made across a solar cycle. These data were all acquired during nighttime conditions as the observations with the Fabry‐Perot Interferometers are restricted to such times. Various geophysical proxies were tested to represent the processes that influence the modeled parameters. The dominant geophysical proxy for each modeled parameter was then determined. Multivariate models were also developed showing the combinations of parameters that best explained the observed variability. A comparison with climatology showed that the models give an improvement in every case with skill scores based on the mean square error of up to 0.88.

AB - Statistical models have been developed for predicting the behavior of the coupled high‐latitude ionosphere‐thermosphere system. The modeled parameters were the F‐layer peak electron density, plasma structuring, ion temperature, neutral temperature, and the difference between these temperatures, which is a key term in the Joule heating equation. Ionospheric measurements from the European Incoherent Scatter Svalbard Radar and neutral atmosphere measurements from the colocated University College London Fabry‐Perot Interferometers have been made across a solar cycle. These data were all acquired during nighttime conditions as the observations with the Fabry‐Perot Interferometers are restricted to such times. Various geophysical proxies were tested to represent the processes that influence the modeled parameters. The dominant geophysical proxy for each modeled parameter was then determined. Multivariate models were also developed showing the combinations of parameters that best explained the observed variability. A comparison with climatology showed that the models give an improvement in every case with skill scores based on the mean square error of up to 0.88.

KW - ionosphere‐thermosphere coupling

KW - Joule heating

KW - ionosphere plasma

KW - space weather

KW - linear modeling

KW - climatology

U2 - 10.1029/2018JA026171

DO - 10.1029/2018JA026171

M3 - Article

VL - 124

SP - 1389

EP - 1409

JO - Journal of Geophysical Research: Space Physics

JF - Journal of Geophysical Research: Space Physics

SN - 2169-9380

IS - 2

ER -