Geomagnetic Jerks: Rapid Core Field Variations and Core Dynamics

Author(s):  
Mioara Mandea ◽  
Richard Holme ◽  
Alexandra Pais ◽  
Katia Pinheiro ◽  
Andrew Jackson ◽  
...  
2010 ◽  
Vol 155 (1-4) ◽  
pp. 147-175 ◽  
Author(s):  
Mioara Mandea ◽  
Richard Holme ◽  
Alexandra Pais ◽  
Katia Pinheiro ◽  
Andrew Jackson ◽  
...  

2021 ◽  
Vol 8 ◽  
Author(s):  
S. A. Campuzano ◽  
F. J. Pavón-Carrasco ◽  
A. De Santis ◽  
A. González-López ◽  
E. Qamili

Geomagnetic jerks are sudden changes in the geomagnetic field secular variation related to changes in outer core flow patterns. Finding geophysical phenomena related to geomagnetic jerks provides a vital contribution to better understand the geomagnetic field behavior. Here, we link the geomagnetic jerks occurrence with one of the most relevant features of the geomagnetic field nowadays, the South Atlantic Anomaly (SAA), which is due to the presence of reversed flux patches (RFPs) at the Core-Mantle Boundary (CMB). Our results show that minima of acceleration of the areal extent of SAA calculated using the CHAOS-7 model (CHAOS-7.2 release) coincide with the occurrence of geomagnetic jerks for the last 2 decades. In addition, a new pulse in the secular acceleration of the radial component of the geomagnetic field has been observed at the CMB, with a maximum in 2016.2 and a minimum in 2017.5. This fact, along with the minimum observed in 2017.8 in the acceleration of the areal extent of SAA, could point to a new geomagnetic jerk. We have also analyzed the acceleration of the areal extent of South American and African RFPs at the CMB related to the presence of the SAA at surface and have registered minima in the same periods when they are observed in the SAA at surface. This reinforces the link found and would indicate that physical processes that produce the RFPs, and in turn the SAA evolution, contribute to the core dynamics at the origin of jerks.


2021 ◽  
Vol 73 (1) ◽  
Author(s):  
Magnus D. Hammer ◽  
Grace A. Cox ◽  
William J. Brown ◽  
Ciarán D. Beggan ◽  
Christopher C. Finlay

AbstractWe present geomagnetic main field and secular variation time series, at 300 equal-area distributed locations and at 490 km altitude, derived from magnetic field measurements collected by the three Swarm satellites. These Geomagnetic Virtual Observatory (GVO) series provide a convenient means to globally monitor and analyze long-term variations of the geomagnetic field from low-Earth orbit. The series are obtained by robust fits of local Cartesian potential field models to along-track and East–West sums and differences of Swarm satellite data collected within a radius of 700 km of the GVO locations during either 1-monthly or 4-monthly time windows. We describe two GVO data products: (1) ‘Observed Field’ GVO time series, where all observed sources contribute to the estimated values, without any data selection or correction, and (2) ‘Core Field’ GVO time series, where additional data selection is carried out, then de-noising schemes and epoch-by-epoch spherical harmonic analysis are applied to reduce contamination by magnetospheric and ionospheric signals. Secular variation series are provided as annual differences of the Core Field GVOs. We present examples of the resulting Swarm GVO series, assessing their quality through comparisons with ground observatories and geomagnetic field models. In benchmark comparisons with six high-quality mid-to-low latitude ground observatories we find the secular variation of the Core Field GVO field intensities, calculated using annual differences, agrees to an rms of 1.8 nT/yr and 1.2 nT/yr for the 1-monthly and 4-monthly versions, respectively. Regular sampling in space and time, and the availability of data error estimates, makes the GVO series well suited for users wishing to perform data assimilation studies of core dynamics, or to study long-period magnetospheric and ionospheric signals and their induced counterparts. The Swarm GVO time series will be regularly updated, approximately every four months, allowing ready access to the latest secular variation data from the Swarm satellites.


2009 ◽  
Vol 155 (1-4) ◽  
pp. 129-145 ◽  
Author(s):  
N. Gillet ◽  
V. Lesur ◽  
N. Olsen
Keyword(s):  

2013 ◽  
Vol 254 ◽  
pp. 67-88 ◽  
Author(s):  
S. Lorenzi ◽  
A. Cammi ◽  
S. Bortot ◽  
R. Ponciroli ◽  
A. Moisseytsev

2021 ◽  
Author(s):  
Arnab Mukherjee ◽  
Nishanth Muthichur ◽  
Chaitali More ◽  
Saarthak Gupta ◽  
Santosh Hemchandra

2010 ◽  
Vol 105 (18) ◽  
Author(s):  
L. Heyne ◽  
J. Rhensius ◽  
D. Ilgaz ◽  
A. Bisig ◽  
U. Rüdiger ◽  
...  

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