Premium
Thermosphere Global Time Response to Geomagnetic Storms Caused by Coronal Mass Ejections
Author(s) -
Oliveira D. M.,
Zesta E.,
Schuck P. W.,
Sutton E. K.
Publication year - 2017
Publication title -
journal of geophysical research: space physics
Language(s) - English
Resource type - Journals
eISSN - 2169-9402
pISSN - 2169-9380
DOI - 10.1002/2017ja024006
Subject(s) - thermosphere , geomagnetic storm , coronal mass ejection , atmospheric sciences , solar wind , earth's magnetic field , physics , storm , ionosphere , geophysics , meteorology , plasma , magnetic field , quantum mechanics
We investigate, for the first time with a spatial superposed epoch analysis study, the thermosphere global time response to 159 geomagnetic storms caused by coronal mass ejections (CMEs) observed in the solar wind at Earth's orbit during the period of September 2001 to September 2011. The thermosphere neutral mass density is obtained from the CHAMP (CHAllenge Mini‐Satellite Payload) and GRACE (Gravity Recovery Climate Experiment) spacecraft. All density measurements are intercalibrated against densities computed by the Jacchia‐Bowman 2008 empirical model under the regime of very low geomagnetic activity. We explore both the effects of the pre‐CME shock impact on the thermosphere and of the storm main phase onset by taking their times of occurrence as zero epoch times (CME impact and interplanetary magnetic field B z southward turning) for each storm. We find that the shock impact produces quick and transient responses at the two high‐latitude regions with minimal propagation toward lower latitudes. In both cases, thermosphere is heated in very high latitude regions within several minutes. The B z southward turning of the storm onset has a fast heating manifestation at the two high‐latitude regions, and it takes approximately 3 h for that heating to propagate down to equatorial latitudes and to globalize in the thermosphere. This heating propagation is presumably accomplished, at least in part, with traveling atmospheric disturbances and complex meridional wind structures. Current models use longer lag times in computing thermosphere density dynamics during storms. Our results suggest that the thermosphere response time scales are shorter and should be accordingly adjusted in thermospheric empirical models.