Statistical modeling of the coupled F-region ionosphere-thermosphere at high latitude during polar darkness

Tools

Dorrian, G.D. ORCID: 0000-0002-5308-6894, Wood, A.G. ORCID: 0000-0002-7527-4757, Ronksley, A., Aruliah, A. and Shahtahmassebi, G. ORCID: 0000-0002-0630-2750, 2019. Statistical modeling of the coupled F-region ionosphere-thermosphere at high latitude during polar darkness. Journal of Geophysical Research: Space Physics, 124 (2), pp. 1389-1409. ISSN 2169-9380

Preview

Text
13567_Wood.pdf - Published version
Download (662kB) | Preview

Official URL: http://doi.org/10.1029/2018ja026171

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.

Item Type:

Journal article

Publication Title:

Journal of Geophysical Research: Space Physics

Creators:

Dorrian, G.D., Wood, A.G., Ronksley, A., Aruliah, A. and Shahtahmassebi, G.

Publisher:

Wiley on behalf of the American Geophysical Union (AGU)

Date:

February 2019

Volume:

124

Number:

ISSN:

2169-9380

Identifiers:

Number	Type
10.1029/2018ja026171	DOI
911112	Other

Rights:

©2019. The Authors. This is an open access article under the terms of the Creative Commons Attribution‐ NonCommercial‐NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

Divisions:

Schools > School of Science and Technology

Record created by:

Jill Tomkinson

Date Added:

18 Mar 2019 12:15

Last Modified:

21 Jan 2021 10:47

URI:

https://irep.ntu.ac.uk/id/eprint/36062