Ionospheric midlatitude electric current density inferred from multiple magnetic satellites

Shore, R.M.; Whaler, K.A.; Macmillan, S.; Beggan, C.; Olsen, N.; Spain, T.; Aruliah, A.. 2013 Ionospheric midlatitude electric current density inferred from multiple magnetic satellites. Journal of Geophysical Research: Space Physics, 118 (9). 5813-5829. https://doi.org/10.1002/jgra.50491

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Official URL: http://onlinelibrary.wiley.com/doi/10.1002/jgra.50...

Abstract/Summary

A method for inferring zonal electric current density in the mid-to-low latitude F region ionosphere is presented. We describe a method of using near-simultaneous overflights of the Ørsted and CHAMP satellites to define a closed circuit for an application of Ampère's integral law to magnetic data. Zonal current density from sources in only the region between the two satellites is estimated for the first time. Six years of mutually available vector magnetic data allows overlaps spanning the full 24 h range of local time twice. Solutions are computed on an event-by-event basis after correcting for estimates of main and crustal magnetic fields. Current density in the range ±0.1 μA/m2 is resolved, with the distribution of electric current largely matching known features such as the Appleton anomaly. The currents appear unmodulated at times of either high-negative Dst or high F10.7, which has implications for any future efforts to model their effects. We resolve persistent current intensifications between geomagnetic latitudes of 30 and 50° in the postmidnight, predawn sector, a region typically thought to be relatively free of electric currents. The cause of these unexpected intensifications remains an open issue. We compare our results with current density predictions made by the Coupled Thermosphere-Ionosphere-Plasmasphere model, a self-consistent, first-principles, three-dimensional numerical dynamic model of ionospheric composition and temperatures. This independent validation of our current density estimates highlights good agreement in the broad spatiotemporal trends we identify, which increases confidence in our results.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	https://doi.org/10.1002/jgra.50491
ISSN:	2169-9402
NORA Subject Terms:	Space Sciences
Date made live:	11 Oct 2013 15:06 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/503470

Item Type:

Publication - Article

Digital Object Identifier (DOI):

https://doi.org/10.1002/jgra.50491

ISSN:

2169-9402

NORA Subject Terms:

Space Sciences

Date made live:

11 Oct 2013 15:06 +0 (UTC)

URI:

https://nora.nerc.ac.uk/id/eprint/503470