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Electrical conductivity of the Earth's mantle from the first Swarm magnetic field measurements

Research areas:

• Intérieurs planétaires (2011 - 2016)

Year:

2015

Authors:

• François Civet
• Erwan Thébault
• Olivier Verhoeven
• Benoit Langlais
• Diana Saturnino

Journal:

Geophys. Res. Lett.

Volume:

42

BibTex:

@article{cive2015grl, author = "Fran{\c{c}}ois Civet and Erwan Th{\'e}bault and Olivier Verhoeven and Benoit Langlais and Diana Saturnino", abstract = "We present a 1-D electrical conductivity profile of the Earth{\&}#039;s mantle down to 2000 km derived from L1b Swarm satellite magnetic field measurements from November 2013 to September 2014. We first derive a model for the main magnetic field, correct the data for a lithospheric field model, and additionally select the data to reduce the contributions of the ionospheric field. We then model the primary and induced magnetospheric fields for periods between 2 and 256 days and perform a Bayesian inversion to obtain the probability density function for the electrical conductivity as function of depth. The conductivity increases by 3 orders of magnitude in the 400~900 km depth range. Assuming a pyrolitic mantle composition, this profile is interpreted in terms of temperature variations leading to a temperature gradient in the lower mantle that is close to adiabatic.", doi = "10.1002/2015GL063397", extra = "PICL", journal = "Geophys. Res. Lett.", title = "{E}lectrical conductivity of the {E}arth{\&}#039;s mantle from the first {S}warm magnetic field measurements", volume = "42", year = "2015", }

Abstract:

We present a 1-D electrical conductivity profile of the
Earth's mantle down to 2000 km derived
from L1b Swarm satellite magnetic field measurements from November 2013 to September 2014. We first
derive a model for the main magnetic field, correct the data for a lithospheric field model, and additionally
select the data to reduce the contributions of the ionospheric field. We then model the primary and induced
magnetospheric fields for periods between 2 and 256 days and perform a Bayesian inversion to obtain the
probability density function for the electrical conductivity as function of depth. The conductivity increases
by 3 orders of magnitude in the 400~900 km depth range. Assuming a pyrolitic mantle composition, this
profile is interpreted in terms of temperature variations leading to a temperature gradient in the lower
mantle that is close to adiabatic.