2010
DOI: 10.5047/eps.2010.07.004
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Forecasting secular variation using core flows

Abstract: Over the past ten years satellite measurements in combination with data from ground-based observatories have allowed very detailed models of the secular variation (SV) of the Earth's magnetic field to be constructed. However, forecasting the change of the main field still remains a challenge, primarily because the core processes controlling SV are not sufficiently well understood. Hence, most forecasts do not appeal to any physical modelling constraints but use, for example, polynomial extrapolation from previ… Show more

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Cited by 21 publications
(20 citation statements)
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“…These difficulties were further underlined by retrospective analysis of IGRF-10 SV candidates centered in 2007.5 which differed by 20 to 30 nT/yr from the retrospective IGRF-11 estimate for the same interval. It will be of considerable interest over the next 5 years to discover whether data assimilation methods utilizing approximations of core physics to forward propagate information (see Beggan and Whaler, 2010;Kuang et al, 2010, this issue) are yet at the stage where they can provide better forecasts than the traditional statistical extrapolation strategies.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…These difficulties were further underlined by retrospective analysis of IGRF-10 SV candidates centered in 2007.5 which differed by 20 to 30 nT/yr from the retrospective IGRF-11 estimate for the same interval. It will be of considerable interest over the next 5 years to discover whether data assimilation methods utilizing approximations of core physics to forward propagate information (see Beggan and Whaler, 2010;Kuang et al, 2010, this issue) are yet at the stage where they can provide better forecasts than the traditional statistical extrapolation strategies.…”
Section: Resultsmentioning
confidence: 99%
“…In comparison, the IGRF-10 SV prediction differed from the IGRF-11 model by 21.5 nT/yr. Interestingly Beggan and Whaler (2010), also in this issue, demonstrate that by using a steady, tangentially geostrophic, core flow they are able to derive a predictive SV model that performs slightly better than any of the candidate models for IGRF-10, with a RMS vector field difference of ∼17 nT/yr.…”
Section: Evaluation Of Predictivementioning
confidence: 99%
“…Mandea et al, 2010), whose occurrence has been impeding a more efficient prediction at decadal timescale (Maus et al, 2008;Beggan and Whaler, 2010).…”
mentioning
confidence: 99%
“…doi:10.5047/eps.2010.07.005 average of the main field time derivative over the previous five years is considered to approximate well the secular variation over the next five years (Beggan and Whaler, 2010). More instantaneous estimates may nevertheless be proposed.…”
Section: Introductionmentioning
confidence: 99%