2014
DOI: 10.1016/j.epsl.2014.07.042
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Insights from geodynamo simulations into long-term geomagnetic field behaviour

Abstract: 8Detailed knowledge of the long-term spatial configuration and temporal variability of the geomagnetic field is lacking because of insufficient data for times prior to 10 ka. We use realisations from suitable numerical simulations to investigate three important questions about stability of the geodynamo process: is the present field representative of the past field; does a time-averaged field actually exist; and, supposing it exists, how long is needed to define such a field. Numerical geodynamo simulations ar… Show more

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Cited by 37 publications
(59 citation statements)
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“…4), and we find that if we consider the progressive running average of the hemispheric measures it takes approximately 25,000 model years to accurately determine the final time-averaged field morphology. This is similar to the timescale found by Davies and Constable (2014) for the non-zonal components of the field to converge on their long-term averages.…”
Section: Field Structurementioning
confidence: 53%
See 1 more Smart Citation
“…4), and we find that if we consider the progressive running average of the hemispheric measures it takes approximately 25,000 model years to accurately determine the final time-averaged field morphology. This is similar to the timescale found by Davies and Constable (2014) for the non-zonal components of the field to converge on their long-term averages.…”
Section: Field Structurementioning
confidence: 53%
“…Use of the advective scaling would result in time series of approximately 40,000 model years and does not significantly alter the discussion below. Further discussion of the merits of the two scalings can be found in, for example, Davies and Constable (2014), . After dimensionalisation the simulation time series are divided into consecutive windows lasting 400 model years for comparison to gufm1 (Jackson et al, 2000).…”
Section: Numerical Simulationsmentioning
confidence: 99%
“…As global field models are constructed to recreate the field at the core-mantle boundary, they have the potential to be used to understand the geodynamo and have been used to investigate core flow (Dumberry and Finlay 2007;Wardinski and Korte 2008;Livermore et al 2014), with possible implications for length of day variations on millennial time scales (Dumberry and Bloxham 2006); the behavior of high latitude flux patches (Korte and Holme 2010;Amit et al 2011); hemispheric field asymmetries related to archeomagnetic jerks (Gallet et al 2009); discrete scale invariance across geodynamo time scales (Jonkers 2007); and similarities with the characteristics of dynamo simulations (Christensen et al 2011;Heimpel and Evans 2013;Davies and Constable 2014). Calculations of dipole eccentricity using CALS3k.4b and CALS10k.1b , coupled with observations of hemispherical variations in seismic velocity at the top of the Earth's inner core, motivated Olson and Deguen (2012) to investigate persistent eccentricity in numerical dynamo simulations and they suggested lopsided solidification within the inner core.…”
Section: Applications Of Archeomagnetic and Volcanic Data From Geomagmentioning
confidence: 99%
“…We used a compilation of 86 sediment RPI records (Tauxe and Yamazaki, 2007), and absolute paleointensity data from the 2014.01 version of the PINT database (Biggin and Paterson, 2014) and the Geomagia50.v2 database (Donadini et al, 2009). The RPI compilation was previously used to construct the PADM2M model , which spans 2 million years.…”
Section: Datamentioning
confidence: 99%