2017
DOI: 10.1002/2016rg000527
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Unbiased analysis of geomagnetic data sets and comparison of historical data with paleomagnetic and archeomagnetic records

Abstract: Reconstructions of the past geomagnetic field provide fundamental constraints for understanding the dynamics of the Earth's interior, as well as serving as basis for magnetostratigraphic and archeomagnetic dating tools. Such reconstructions, when extending over epochs that precede the advent of instrumental measurements, rely exclusively on magnetic records from archeological artifacts, and, further in the past, from rocks and sediments. The most critical component of such indirect records is field intensity b… Show more

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Cited by 11 publications
(18 citation statements)
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“…These were estimated by comparing the data with the gufm1 model predictions for the historical period (Korte et al, ) and later RMS deviations for directions were converted to α 95 values. Recently, Arneitz et al () introduced a new approach for analyzing archeomagnetic and volcanic data by comparison with historical records and applying temporal and spatial mismatches with weighting functions. Their posteriori estimates imply that reported measurement errors are underestimated.…”
Section: Datamentioning
confidence: 99%
“…These were estimated by comparing the data with the gufm1 model predictions for the historical period (Korte et al, ) and later RMS deviations for directions were converted to α 95 values. Recently, Arneitz et al () introduced a new approach for analyzing archeomagnetic and volcanic data by comparison with historical records and applying temporal and spatial mismatches with weighting functions. Their posteriori estimates imply that reported measurement errors are underestimated.…”
Section: Datamentioning
confidence: 99%
“…In all cases when uncertainties are not available, or are smaller than a certain plausible threshold, it has become customary to allocate minimum uncertainties (e.g., Korte et al, ; Panovska, Constable, & Korte, ). Other methods include introducing a modeling error and adding it in quadrature to the original data uncertainty (Licht et al, ), assigning minimum errors based on the number of samples/specimens used to calculate the mean (Nilsson et al, ), grouping the data in different categories based on paleomagnetic quality criteria (Korte et al, ; Pavón‐Carrasco et al, ), and via comparison with historical data, considering error estimates for the difference (Arneitz et al, ).…”
Section: Data On the Past Geomagnetic Fieldmentioning
confidence: 99%
“…Generally, it has to be noted that the results have to be interpreted with caution because investigated data sets may have strong internal correlations, for example, due to geographical distribution, decreasing the effective sample size N D and statistical testing capabilities. Therefore, the cancellation of different effects, as observed by Arneitz et al (2017) for diverse indirect data sets, may not be ensured in this case.…”
Section: Systematic Biasmentioning
confidence: 99%
“…∼ D represents an estimate for the uncertainty of individual records (see Arneitz et al (2017) for more details). Outliers were rejected in the evaluation for data sets marked with * (see Fig.…”
Section: Systematic Biasmentioning
confidence: 99%
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