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Average Ionospheric Electric Field Morphologies during Geomagnetic Storm Phases

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Average Ionospheric Electric Field Morphologies during Geomagnetic Storm Phases. / Walach, M.‐T.; Grocott, A.; Milan, S. E.

In: Journal of Geophysical Research: Space Physics, Vol. 126, No. 4, e2020JA028512, 30.04.2021.

Research output: Contribution to journalJournal articlepeer-review

Harvard

Walach, MT, Grocott, A & Milan, SE 2021, 'Average Ionospheric Electric Field Morphologies during Geomagnetic Storm Phases', Journal of Geophysical Research: Space Physics, vol. 126, no. 4, e2020JA028512. https://doi.org/10.1029/2020JA028512

APA

Walach, M. T., Grocott, A., & Milan, S. E. (2021). Average Ionospheric Electric Field Morphologies during Geomagnetic Storm Phases. Journal of Geophysical Research: Space Physics, 126(4), [e2020JA028512]. https://doi.org/10.1029/2020JA028512

Vancouver

Walach MT, Grocott A, Milan SE. Average Ionospheric Electric Field Morphologies during Geomagnetic Storm Phases. Journal of Geophysical Research: Space Physics. 2021 Apr 30;126(4). e2020JA028512. https://doi.org/10.1029/2020JA028512

Author

Walach, M.‐T. ; Grocott, A. ; Milan, S. E. / Average Ionospheric Electric Field Morphologies during Geomagnetic Storm Phases. In: Journal of Geophysical Research: Space Physics. 2021 ; Vol. 126, No. 4.

Bibtex

@article{84f76b1d768b46389200840be5a7e4ea,
title = "Average Ionospheric Electric Field Morphologies during Geomagnetic Storm Phases",
abstract = "We utilise Principal Component Analysis to identify and quantify the primary electric potential morphologies during geomagnetic storms. Ordering data from the Super Dual Auroral Radar Network (SuperDARN) by geomagnetic storm phase, we are able to discern changes that occur in association with the development of the storm phases. Along with information on the size of the patterns, the first 6 eigenvectors provide over ∼ 80% of the variability in the morphology, providing us with a robust analysis tool to quantify the main changes in the patterns. Studying the first 6 eigenvectors and their eigenvalues shows that the primary changes in the morphologies with respect to storm phase are the convection potential enhancing and the dayside throat rotating from pointing towards the early afternoon sector to being more sunward aligned during the main phase of the storm. We find that the ionospheric electric potential increases through the main phase and then decreases once the storm phase begins. The dayside convection throat points towards the afternoon sector before the main phase and then as the potential increases throughout the main phase, the dayside throat rotates towards magnetic noon. Furthermore, we find that a two cell convection pattern is dominant throughout and that the dusk cell is overall stronger than the dawn cell.",
keywords = "Geomagnetic Storms, Ionospheric Electric Fields, SuperDARN, Principal Component Analysis, Ionospheric Convection, Geomagnetic Storm phases",
author = "M.‐T. Walach and A. Grocott and Milan, {S. E.}",
year = "2021",
month = apr,
day = "30",
doi = "10.1029/2020JA028512",
language = "English",
volume = "126",
journal = "Journal of Geophysical Research: Space Physics",
issn = "2169-9402",
publisher = "Blackwell Publishing Ltd",
number = "4",

}

RIS

TY - JOUR

T1 - Average Ionospheric Electric Field Morphologies during Geomagnetic Storm Phases

AU - Walach, M.‐T.

AU - Grocott, A.

AU - Milan, S. E.

PY - 2021/4/30

Y1 - 2021/4/30

N2 - We utilise Principal Component Analysis to identify and quantify the primary electric potential morphologies during geomagnetic storms. Ordering data from the Super Dual Auroral Radar Network (SuperDARN) by geomagnetic storm phase, we are able to discern changes that occur in association with the development of the storm phases. Along with information on the size of the patterns, the first 6 eigenvectors provide over ∼ 80% of the variability in the morphology, providing us with a robust analysis tool to quantify the main changes in the patterns. Studying the first 6 eigenvectors and their eigenvalues shows that the primary changes in the morphologies with respect to storm phase are the convection potential enhancing and the dayside throat rotating from pointing towards the early afternoon sector to being more sunward aligned during the main phase of the storm. We find that the ionospheric electric potential increases through the main phase and then decreases once the storm phase begins. The dayside convection throat points towards the afternoon sector before the main phase and then as the potential increases throughout the main phase, the dayside throat rotates towards magnetic noon. Furthermore, we find that a two cell convection pattern is dominant throughout and that the dusk cell is overall stronger than the dawn cell.

AB - We utilise Principal Component Analysis to identify and quantify the primary electric potential morphologies during geomagnetic storms. Ordering data from the Super Dual Auroral Radar Network (SuperDARN) by geomagnetic storm phase, we are able to discern changes that occur in association with the development of the storm phases. Along with information on the size of the patterns, the first 6 eigenvectors provide over ∼ 80% of the variability in the morphology, providing us with a robust analysis tool to quantify the main changes in the patterns. Studying the first 6 eigenvectors and their eigenvalues shows that the primary changes in the morphologies with respect to storm phase are the convection potential enhancing and the dayside throat rotating from pointing towards the early afternoon sector to being more sunward aligned during the main phase of the storm. We find that the ionospheric electric potential increases through the main phase and then decreases once the storm phase begins. The dayside convection throat points towards the afternoon sector before the main phase and then as the potential increases throughout the main phase, the dayside throat rotates towards magnetic noon. Furthermore, we find that a two cell convection pattern is dominant throughout and that the dusk cell is overall stronger than the dawn cell.

KW - Geomagnetic Storms

KW - Ionospheric Electric Fields

KW - SuperDARN

KW - Principal Component Analysis

KW - Ionospheric Convection

KW - Geomagnetic Storm phases

U2 - 10.1029/2020JA028512

DO - 10.1029/2020JA028512

M3 - Journal article

VL - 126

JO - Journal of Geophysical Research: Space Physics

JF - Journal of Geophysical Research: Space Physics

SN - 2169-9402

IS - 4

M1 - e2020JA028512

ER -