1999
DOI: 10.1029/98jb01354
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Spherical harmonic analyses of paleomagnetic data: The time‐averaged geomagnetic field for the past 5 Myr and the Brunhes‐Matuyama reversal

Abstract: Abstract. Maxwell's multiple pole theory provides the basis for a convenient means of determining the spherical harmonics of geomagnetic fields from directional paleomagnetic data. The relationship between the Maxwell poles and axes and the corresponding spherical harmonics was given by Maxwell. We show that the distribution of virtual geomagnetic poles (VGPs) is symmetrical about the Maxwell axes and converge to their poles. Utilizing this property of VGPs and a complimentary property of the distribution of e… Show more

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Cited by 23 publications
(25 citation statements)
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“…Thus the models' chronology depends on the accuracy of this age determination of the paleomagnetic data sets. As shown below, different modeling approaches (Shao et al 1999;Leonhardt and Fabian 2007; Brown colors indicate volcanic records. Sedimentary data is distinguished into sea sediments (yellow), lake sediments (light yellow) and löss (turquise).…”
Section: Deriving Global Geomagnetic Field Evolution Modelsmentioning
confidence: 98%
See 1 more Smart Citation
“…Thus the models' chronology depends on the accuracy of this age determination of the paleomagnetic data sets. As shown below, different modeling approaches (Shao et al 1999;Leonhardt and Fabian 2007; Brown colors indicate volcanic records. Sedimentary data is distinguished into sea sediments (yellow), lake sediments (light yellow) and löss (turquise).…”
Section: Deriving Global Geomagnetic Field Evolution Modelsmentioning
confidence: 98%
“…Therefore, regularization procedures and additional assumptions about the reversal process are needed. Mazaud (1995) and Shao et al (1999) were the first to present reconstructions of transitional fields which are predominantly based on paleomagnetic data and less on assumptions about the reversal process itself. Both studies are based solely on paleomagnetic directional data from geomagnetic field reversals, namely the Olduvai/Matuyama and the last geomagnetic reversal, the Matuyama/Brunhes.…”
Section: Deriving Global Geomagnetic Field Evolution Modelsmentioning
confidence: 99%
“…Yet, by far the largest number of available records is associated with the last reversal, the Matuyama-Brunhes (M-B), and for this reason several attempts have been made to model global field behavior during this transition [e.g., Hoffman, 1981Hoffman, , 2000Love and Mazaud, 1997;Shao et al, 1999;Singer et al, 2005;Leonhardt and Fabian, 2007]. Notwithstanding the significant advances that have been provided through these analyses, the near impossibility of determining temporally synchronous behavior among globally scattered recording sites is one of many obstacles to a complete understanding of the dynamo process during this reversal.…”
Section: Introductionmentioning
confidence: 99%
“…Such a correlation offers evidence that significant features of the flux pattern emanating from the outer core remained stationary from the Plio-Pleistocene through to the present day. Apparent similarities in the location of two primary flux concentrations in the Southern Hemisphere observed in models at Earth's surface given removal of the axial dipole term (i.e., the complex, so-called non-axial dipole (NAD) field)--models deduced from both direct measurements of the present-day field and the time-averaged historic field [see Constable, 2007], as well as from paleomagnetic field measurements over the entire Brunhes Chron [Shao et al, 1999]--attest to the longevity of such a stasis.…”
Section: Introductionmentioning
confidence: 99%
“…Although dating techniques are steadily improving, it seems unlikely that it will be possible to know ages to an accuracy much better than a few thousand years. Thus the possibility of directly modeling the structure of the geomagnetic field during a reversal remains remote (although this has not stopped people from trying, Mazaud, 1995;Shao et al, 1999). There are no such dating limitations in the records of geomagnetic reversals provided by numerical geodynamo simulations.…”
Section: :1 Observational Estimates Of Durationmentioning
confidence: 99%