Secular variation 'master' curves are built up using geomagnetic historical observations or archaeomagnetic data from a limited area and their use is usually restricted to regions of around 1000 km radius. Relocation of data within this distance is a common practice to enable comparison of data, although the errors due to such process are rarely taken into account. A detailed analysis of the distribution of relocating geomagnetic data has been done using three popular sets of geomagnetic models (IGRF-9, GUFM and CALS7K-2). This study improves the error analysis of relocating geomagnetic directions made up to date and expands it to geomagnetic intensities. Maximum errors correlate with the non-dipole to dipole field ratio. Archaeomagnetists could use this analysis to valuate the error introduced by reducing data.
DISTRIBUTION ANALYSIS OF ERRORS DUE TO RELOCATION OF GEOMAGNETIC DATA USING THE �CONVERSION VIA POLE� (CVP) METHOD. IMPLICATIONS ON ARCHAEOMAGNETIC DATA / CASAS DUOCASTELLA, L; Incoronato, Alberto. - In: GEOPHYSICAL JOURNAL INTERNATIONAL. - ISSN 0956-540X. - STAMPA. - (2007), pp. 448-454. [10.1111/j.1365-246X.2007.03346.x]
DISTRIBUTION ANALYSIS OF ERRORS DUE TO RELOCATION OF GEOMAGNETIC DATA USING THE �CONVERSION VIA POLE� (CVP) METHOD. IMPLICATIONS ON ARCHAEOMAGNETIC DATA
INCORONATO, ALBERTO
2007
Abstract
Secular variation 'master' curves are built up using geomagnetic historical observations or archaeomagnetic data from a limited area and their use is usually restricted to regions of around 1000 km radius. Relocation of data within this distance is a common practice to enable comparison of data, although the errors due to such process are rarely taken into account. A detailed analysis of the distribution of relocating geomagnetic data has been done using three popular sets of geomagnetic models (IGRF-9, GUFM and CALS7K-2). This study improves the error analysis of relocating geomagnetic directions made up to date and expands it to geomagnetic intensities. Maximum errors correlate with the non-dipole to dipole field ratio. Archaeomagnetists could use this analysis to valuate the error introduced by reducing data.File | Dimensione | Formato | |
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