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Published January 2017 | Published
Journal Article Open

Multiinstrument observations of a geomagnetic storm and its effects on the Arctic ionosphere: A case study of the 19 February 2014 storm

Abstract

We present a multiinstrumented approach for the analysis of the Arctic ionosphere during the 19 February 2014 highly complex, multiphase geomagnetic storm, which had the largest impact on the disturbance storm-time index that year. The geomagnetic storm was the result of two powerful Earth-directed coronal mass ejections (CMEs). It produced a strong long lasting negative storm phase over Greenland with a dominant energy input in the polar cap. We employed global navigation satellite system (GNSS) networks, geomagnetic observatories, and a specific ionosonde station in Greenland. We complemented the approach with spaceborne measurements in order to map the state and variability of the Arctic ionosphere. In situ observations from the Canadian CASSIOPE (CAScade, Smallsat and IOnospheric Polar Explorer) satellite's ion mass spectrometer were used to derive ion flow data from the polar cap topside ionosphere during the event. Our research specifically found that (1) thermospheric O/N_2 measurements demonstrated significantly lower values over the Greenland sector than prior to the storm time. (2) An increased ion flow in the topside ionosphere was observed during the negative storm phase. (3) Negative storm phase was a direct consequence of energy input into the polar cap. (4) Polar patch formation was significantly decreased during the negative storm phase. This paper addresses the physical processes that can be responsible for this ionospheric storm development in the northern high latitudes. We conclude that ionospheric heating due to the CME's energy input caused changes in the polar atmosphere resulting in N_e upwelling, which was the major factor in high-latitude ionosphere dynamics for this storm.

Additional Information

© 2017 American Geophysical Union. Received 15 JUN 2016; Accepted 8 JAN 2017; Accepted article online 10 JAN 2017; Published online 25 JAN 2017. The authors wish to thank Lowell Digisonde International for providing access to Thule Digisonde data used in this work; the Greenland GPS Network (GNET) operated by the Technical University of Denmark, National Space Institute (DTU Space) in cooperation with the American National Science Foundation, Ohio State University, and the nonprofit university governed consortium UNAVCO for GPS data; the Technical University of Denmark, National Space Institute's Geomagnetism Section for magnetometer observations; and NASA Jet Propulsion Laboratory for GIM data processing. Portions of this work were done at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with NASA. NRA ROSES 2014/A.26 GNSS Remote Sensing Science Team Award is gratefully acknowledged. The GUVI data used here were provided through support from the NASA Mission Operations and Data Analysis program. The GUVI instrument was designed and built by The Aerospace Corporation and The Johns Hopkins University. The principal investigator is Andrew B. Christensen and the chief scientist and co-PI is Larry J. Paxton. The authors also acknowledge the use of SuperDARN convection data and CASSIOPE IRM sensor data from e-POP. Tibor Durgonics gratefully acknowledges partial funding support for his Ph.D. program provided by activities in ESA contracts (4000105775/2012/NL/WE and 4000112279/2014/D/MRP). Richard B. Langley acknowledges funding support from the Natural Sciences and Engineering Research Council of Canada and the Canadian Space Agency. Data used in this paper can be obtained from the authors.

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August 22, 2023
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