Stochastic modelling of regional archaeomagnetic series

Hellio, Gabrielle; Gillet, Nicolas; Bouligand, C.; Jault, D.

doi:10.1093/gji/ggu303

Cited by 27 publications

(37 citation statements)

References 39 publications

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“…Both curves flatten out approximately at τ = 200 years. Furthermore, a similar correlation time of 200 years was found for l = 1 by Hellio et al [] from autocovariances of the spherical harmonic coefficients assuming an autoregressive process of order 2.…”

Section: Discussionsupporting

confidence: 78%

Unbiased analysis of geomagnetic data sets and comparison of historical data with paleomagnetic and archeomagnetic records

Arneitz

Egli

Leonhardt

2017

Reviews of Geophysics

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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 because of possible biases introduced by material properties and by laboratory protocols, which do not reproduce exactly the original field recording conditions. Large biases are usually avoided by the use of appropriate checking procedures; however, smaller ones can remain undetected in individual studies and might significantly affect field reconstructions. We introduce a new general approach for analyzing geomagnetic databases in order to investigate the reliability of indirect records. This approach is based on the comparison of historical records with archeomagnetic and volcanic data, considering temporal and spatial mismatches with adequate weighting functions and error estimation. A good overall agreement is found between indirect records and historical measurements, while for several subsets systematic bias is detected (e.g., inclination shallowing of lava records). We also demonstrate that simple approaches to analyzing highly inhomogeneous and internally correlated paleomagnetic data sets can lead to incorrect conclusions about the efficiency of quality checks and corrections. Consistent criteria for selecting and weighting data are presented in this review and can be used to improve current geomagnetic field modeling techniques.

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Section: Discussionsupporting

confidence: 78%

Unbiased analysis of geomagnetic data sets and comparison of historical data with paleomagnetic and archeomagnetic records

Arneitz

Egli

Leonhardt

2017

Reviews of Geophysics

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“…In addition to global geomagnetic field modeling, archeological and volcanic data within GEOMAGIA50 can be used to investigate statistical characteristics of the geomagnetic field (Donadini et al 2007;Roberts et al 2013); develop archeomagnetic reference curves (e.g., Fanjat et al (2013); Hellio et al (2014); Márton (2010); Tema and Kondopoulou (2011)), which aid in the dating of archeological materials that form the backbone of archeological studies; understand material and methodological bias in paleointensity estimates (Donadini et al 2007); calculate mean dipole moments (Knudsen et al 2008); and explore links between climate and the geomagnetic field (Knudsen and Riisager 2009).…”

Section: Applications Of Archeomagnetic and Volcanic Data From Geomagmentioning

confidence: 99%

GEOMAGIA50.v3: 1. general structure and modifications to the archeological and volcanic database

et al. 2015

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Background: GEOMAGIA50.v3 is a comprehensive online database providing access to published paleomagnetic, rock magnetic, and chronological data from a variety of materials that record Earth's magnetic field over the past 50 ka.Findings: Since its original release in 2006, the structure and function of the database have been updated and a significant number of data have been added. Notable modifications are the following: (1) the inclusion of additional intensity, directional and metadata from archeological and volcanic materials and an improved documentation of radiocarbon dates; (2) a new data model to accommodate paleomagnetic, rock magnetic, and chronological data from lake and marine sediments; (3) a refinement of the geographic constraints in the archeomagnetic/volcanic query allowing selection of particular locations; (4) more flexible methodological and statistical constraints in the archeomagnetic/volcanic query; (5) the calculation of predictions of the Holocene geomagnetic field from a series of time varying global field models; (6) searchable reference lists; and (7) an updated web interface. This paper describes general modifications to the database and specific aspects of the archeomagnetic and volcanic database. The reader is referred to a companion publication for a description of the sediment database. Conclusions:The archeomagnetic and volcanic part of GEOMAGIA50.v3 currently contains 14,645 data (declination, inclination, and paleointensity) from 461 studies published between 1959 and 2014. We review the paleomagnetic methods used to obtain these data and discuss applications of the data within the database. The database continues to expand as legacy data are added and new studies published. The web-based interface can be found at http:// geomagia.gfz-potsdam.de.

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“…In addition to the secular variation curve, the Bayesian methodology provides a posterior date probability for each reference data point (Hellio et al . ; Schnepp et al . ).…”

Section: Discussionmentioning

confidence: 99%

“…In the present paper, we present a new version of the directional curve computed from the same reference database (cf., details in the ‘Description’ section below), but using a Bayesian perspective (Lanos ; Hellio et al . ; Kovacheva et al . ).…”

Section: Introductionmentioning

confidence: 99%

Improvements in Archaeomagnetic Dating in Western Europe from the Late Bronze to the Late Iron Ages: An Alternative to the Problem of the Hallstattian Radiocarbon Plateau

Hervé

Lanos

2017

Archaeometry

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We present a new curve of the directional secular variation of the geomagnetic field in Western Europe between 1500 bce and 200 ce. Its computation relies on a Bayesian framework. The fast secular variation during the Late Bronze and Early Iron Ages makes archaeomagnetic dating efficient with a respective precision of 150–200 and 60–100 years during these periods. The Bayesian method also provides posterior date distributions that refine the dating of reference data, especially during the period of the Hallstattian radiocarbon plateau. Archaeomagnetism becomes a valuable alternative to radiocarbon and will help to improve the archaeological chronologies.

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Stochastic modelling of regional archaeomagnetic series

Cited by 27 publications

References 39 publications

Unbiased analysis of geomagnetic data sets and comparison of historical data with paleomagnetic and archeomagnetic records

Unbiased analysis of geomagnetic data sets and comparison of historical data with paleomagnetic and archeomagnetic records

GEOMAGIA50.v3: 1. general structure and modifications to the archeological and volcanic database

Improvements in Archaeomagnetic Dating in Western Europe from the Late Bronze to the Late Iron Ages: An Alternative to the Problem of the Hallstattian Radiocarbon Plateau

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