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    Rights statement: This is the peer reviewed version of the following article: Yang, J. ‐Y., Dunlop, M. W., Lühr, H., Xiong, C., Yang, Y.‐Y., Cao, J. ‐B., et al. (2018). Statistical correlation analysis of field‐aligned currents measured by Swarm. Journal of Geophysical Research: Space Physics, 123, 8170–8184. https://doi.org/10.1029/2018JA025205 which has been published in final form at http://onlinelibrary.wiley.com/doi/10.1029/2018JA025205 This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving.

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    Available under license: CC BY-NC: Creative Commons Attribution-NonCommercial 4.0 International License

  • Yang_et_al-2018-Journal_of_Geophysical_Research%3A_Space_Physics

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    Available under license: CC BY-NC: Creative Commons Attribution-NonCommercial 4.0 International License

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Statistical correlation analysis of field-aligned currents measured by Swarm

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Statistical correlation analysis of field-aligned currents measured by Swarm. / Yang, Junying; Dunlop, Malcolm G; Lühr, H.; Xiong, Chao; Yang, Yanyan; Cao, Jin Bin; Wild, James Anderson; Li, L. Y. ; Ma, Yuduan; Liu, Wenlong; Fu, Huishan; Lu, Haoyu; Waters, Colin; Ritter, Patricia.

In: Journal of Geophysical Research: Space Physics, Vol. 123, No. 10, 10.2018, p. 8170-8184.

Research output: Contribution to journalJournal articlepeer-review

Harvard

Yang, J, Dunlop, MG, Lühr, H, Xiong, C, Yang, Y, Cao, JB, Wild, JA, Li, LY, Ma, Y, Liu, W, Fu, H, Lu, H, Waters, C & Ritter, P 2018, 'Statistical correlation analysis of field-aligned currents measured by Swarm', Journal of Geophysical Research: Space Physics, vol. 123, no. 10, pp. 8170-8184. https://doi.org/10.1029/2018JA025205

APA

Yang, J., Dunlop, M. G., Lühr, H., Xiong, C., Yang, Y., Cao, J. B., Wild, J. A., Li, L. Y., Ma, Y., Liu, W., Fu, H., Lu, H., Waters, C., & Ritter, P. (2018). Statistical correlation analysis of field-aligned currents measured by Swarm. Journal of Geophysical Research: Space Physics, 123(10), 8170-8184. https://doi.org/10.1029/2018JA025205

Vancouver

Yang J, Dunlop MG, Lühr H, Xiong C, Yang Y, Cao JB et al. Statistical correlation analysis of field-aligned currents measured by Swarm. Journal of Geophysical Research: Space Physics. 2018 Oct;123(10):8170-8184. https://doi.org/10.1029/2018JA025205

Author

Yang, Junying ; Dunlop, Malcolm G ; Lühr, H. ; Xiong, Chao ; Yang, Yanyan ; Cao, Jin Bin ; Wild, James Anderson ; Li, L. Y. ; Ma, Yuduan ; Liu, Wenlong ; Fu, Huishan ; Lu, Haoyu ; Waters, Colin ; Ritter, Patricia. / Statistical correlation analysis of field-aligned currents measured by Swarm. In: Journal of Geophysical Research: Space Physics. 2018 ; Vol. 123, No. 10. pp. 8170-8184.

Bibtex

@article{b1357e6c39e8482c8fb72dd68759cc40,
title = "Statistical correlation analysis of field-aligned currents measured by Swarm",
abstract = "We investigate the statistical, dual‐spacecraft correlations of field‐aligned current (FAC) signatures between two Swarm spacecraft. For the first time, we infer the orientations of the current sheets of FACs by directly using the maximum correlations obtained from sliding data segments. The current sheet orientations are shown to broadly follow the mean shape of the auroral boundary for the lower latitudes and that these are most well ordered on the dusk side. Orientations at higher latitudes are less well ordered. In addition, the maximum correlation coefficients are explored as a function of magnetic local time and in terms of either the time shift (δt) or the shift in longitude (δlon) between Swarms A and C for various filtering levels and choice of auroral region. We find that the low‐latitude FACs show the strongest correlations for a broad range of magnetic local time centered on dawn and dusk, with a higher correlation coefficient on the dusk side and lower correlations near noon and midnight. The positions of maximum correlation are sensitive to the level of low‐pass filter applied to the data, implying temporal influence in the data. This study clearly reflects the two different domains of FACs: small‐scale (some tens of kilometers), which are time variable, and large‐scale (>50 km), which are rather stationary. The methodology is deliberately chosen to highlight the locations of small‐scale influences that are generally variable in both time and space. We may fortuitously find a potential new way to recognize bursts of irregular pulsations (Pi1B) using low‐Earth orbit satellites.",
keywords = "field-aligned currents, correlations, Pi1B",
author = "Junying Yang and Dunlop, {Malcolm G} and H. L{\"u}hr and Chao Xiong and Yanyan Yang and Cao, {Jin Bin} and Wild, {James Anderson} and Li, {L. Y.} and Yuduan Ma and Wenlong Liu and Huishan Fu and Haoyu Lu and Colin Waters and Patricia Ritter",
note = "This is the peer reviewed version of the following article: Yang, J. ‐Y., Dunlop, M. W., L{\"u}hr, H., Xiong, C., Yang, Y.‐Y., Cao, J. ‐B., et al. (2018). Statistical correlation analysis of field‐aligned currents measured by Swarm. Journal of Geophysical Research: Space Physics, 123, 8170–8184. https://doi.org/10.1029/2018JA025205 which has been published in final form at http://onlinelibrary.wiley.com/doi/10.1029/2018JA025205 This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving.",
year = "2018",
month = oct,
doi = "10.1029/2018JA025205",
language = "English",
volume = "123",
pages = "8170--8184",
journal = "Journal of Geophysical Research: Space Physics",
issn = "2169-9402",
publisher = "Blackwell Publishing Ltd",
number = "10",

}

RIS

TY - JOUR

T1 - Statistical correlation analysis of field-aligned currents measured by Swarm

AU - Yang, Junying

AU - Dunlop, Malcolm G

AU - Lühr, H.

AU - Xiong, Chao

AU - Yang, Yanyan

AU - Cao, Jin Bin

AU - Wild, James Anderson

AU - Li, L. Y.

AU - Ma, Yuduan

AU - Liu, Wenlong

AU - Fu, Huishan

AU - Lu, Haoyu

AU - Waters, Colin

AU - Ritter, Patricia

N1 - This is the peer reviewed version of the following article: Yang, J. ‐Y., Dunlop, M. W., Lühr, H., Xiong, C., Yang, Y.‐Y., Cao, J. ‐B., et al. (2018). Statistical correlation analysis of field‐aligned currents measured by Swarm. Journal of Geophysical Research: Space Physics, 123, 8170–8184. https://doi.org/10.1029/2018JA025205 which has been published in final form at http://onlinelibrary.wiley.com/doi/10.1029/2018JA025205 This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving.

PY - 2018/10

Y1 - 2018/10

N2 - We investigate the statistical, dual‐spacecraft correlations of field‐aligned current (FAC) signatures between two Swarm spacecraft. For the first time, we infer the orientations of the current sheets of FACs by directly using the maximum correlations obtained from sliding data segments. The current sheet orientations are shown to broadly follow the mean shape of the auroral boundary for the lower latitudes and that these are most well ordered on the dusk side. Orientations at higher latitudes are less well ordered. In addition, the maximum correlation coefficients are explored as a function of magnetic local time and in terms of either the time shift (δt) or the shift in longitude (δlon) between Swarms A and C for various filtering levels and choice of auroral region. We find that the low‐latitude FACs show the strongest correlations for a broad range of magnetic local time centered on dawn and dusk, with a higher correlation coefficient on the dusk side and lower correlations near noon and midnight. The positions of maximum correlation are sensitive to the level of low‐pass filter applied to the data, implying temporal influence in the data. This study clearly reflects the two different domains of FACs: small‐scale (some tens of kilometers), which are time variable, and large‐scale (>50 km), which are rather stationary. The methodology is deliberately chosen to highlight the locations of small‐scale influences that are generally variable in both time and space. We may fortuitously find a potential new way to recognize bursts of irregular pulsations (Pi1B) using low‐Earth orbit satellites.

AB - We investigate the statistical, dual‐spacecraft correlations of field‐aligned current (FAC) signatures between two Swarm spacecraft. For the first time, we infer the orientations of the current sheets of FACs by directly using the maximum correlations obtained from sliding data segments. The current sheet orientations are shown to broadly follow the mean shape of the auroral boundary for the lower latitudes and that these are most well ordered on the dusk side. Orientations at higher latitudes are less well ordered. In addition, the maximum correlation coefficients are explored as a function of magnetic local time and in terms of either the time shift (δt) or the shift in longitude (δlon) between Swarms A and C for various filtering levels and choice of auroral region. We find that the low‐latitude FACs show the strongest correlations for a broad range of magnetic local time centered on dawn and dusk, with a higher correlation coefficient on the dusk side and lower correlations near noon and midnight. The positions of maximum correlation are sensitive to the level of low‐pass filter applied to the data, implying temporal influence in the data. This study clearly reflects the two different domains of FACs: small‐scale (some tens of kilometers), which are time variable, and large‐scale (>50 km), which are rather stationary. The methodology is deliberately chosen to highlight the locations of small‐scale influences that are generally variable in both time and space. We may fortuitously find a potential new way to recognize bursts of irregular pulsations (Pi1B) using low‐Earth orbit satellites.

KW - field-aligned currents

KW - correlations

KW - Pi1B

U2 - 10.1029/2018JA025205

DO - 10.1029/2018JA025205

M3 - Journal article

VL - 123

SP - 8170

EP - 8184

JO - Journal of Geophysical Research: Space Physics

JF - Journal of Geophysical Research: Space Physics

SN - 2169-9402

IS - 10

ER -