Repeat station data compared to a global geomagnetic field model

<p>Geomagnetic repeat station surveys with local variometers for improved data reductions have been carried out in Germany for about ten years. For nearly the same time interval the satellites Ørsted and CHAMP have provided a good magnetic field data coverage of the whole globe. Recent global...

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Main Authors: Monika Korte, Vincent Lesur
Format: Article
Language:English
Published: Istituto Nazionale di Geofisica e Vulcanologia (INGV) 2013-03-01
Series:Annals of Geophysics
Subjects:
Online Access:http://www.annalsofgeophysics.eu/index.php/annals/article/view/5410
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author Monika Korte
Vincent Lesur
author_facet Monika Korte
Vincent Lesur
author_sort Monika Korte
collection DOAJ
description <p>Geomagnetic repeat station surveys with local variometers for improved data reductions have been carried out in Germany for about ten years. For nearly the same time interval the satellites Ørsted and CHAMP have provided a good magnetic field data coverage of the whole globe. Recent global field models based on these satellite data together with geomagnetic observatory data provide an improved description of the core field and secular variation. We use the latest version of the GFZ Reference Internal Magnetic Model to compare the magnetic field evolution predicted by that model between 2001 and 2010 to the independent repeat station data collected over the same time interval in Germany. Estimates of crustal bias at the repeat station locations are obtained as averages of the residuals, and the scatter or trend around each average provides information about influences in the data from field sources not (fully) described by the global model. We find that external magnetic field signal in the order of several nT, including long-term trends, remains both in processed annual mean and quiet night time repeat station data. We conclude that the geomagnetic core field secular variation in this area is described to high accuracy (better than 1 nT/yr) by the global model. Weak long-term trends in the residuals between repeat station data and the model might indicate induced lithospheric anomalies, but more data are necessary for a robust analysis of such signals characterized by very unfavorable signal-to-noise ratio.</p>
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spelling doaj.art-750b9d8738a143aa93145a67e0634f362022-12-21T17:30:45ZengIstituto Nazionale di Geofisica e Vulcanologia (INGV)Annals of Geophysics1593-52132037-416X2013-03-0155610.4401/ag-54105822Repeat station data compared to a global geomagnetic field modelMonika Korte0Vincent Lesur1Helmholtz-Centre Potsdam, GFZ German Research Centre for Geosciences, PotsdamHelmholtz-Centre Potsdam, GFZ German Research Centre for Geosciences, Potsdam<p>Geomagnetic repeat station surveys with local variometers for improved data reductions have been carried out in Germany for about ten years. For nearly the same time interval the satellites Ørsted and CHAMP have provided a good magnetic field data coverage of the whole globe. Recent global field models based on these satellite data together with geomagnetic observatory data provide an improved description of the core field and secular variation. We use the latest version of the GFZ Reference Internal Magnetic Model to compare the magnetic field evolution predicted by that model between 2001 and 2010 to the independent repeat station data collected over the same time interval in Germany. Estimates of crustal bias at the repeat station locations are obtained as averages of the residuals, and the scatter or trend around each average provides information about influences in the data from field sources not (fully) described by the global model. We find that external magnetic field signal in the order of several nT, including long-term trends, remains both in processed annual mean and quiet night time repeat station data. We conclude that the geomagnetic core field secular variation in this area is described to high accuracy (better than 1 nT/yr) by the global model. Weak long-term trends in the residuals between repeat station data and the model might indicate induced lithospheric anomalies, but more data are necessary for a robust analysis of such signals characterized by very unfavorable signal-to-noise ratio.</p>http://www.annalsofgeophysics.eu/index.php/annals/article/view/5410Geomagnetic repeat station datacrustal bias
spellingShingle Monika Korte
Vincent Lesur
Repeat station data compared to a global geomagnetic field model
Annals of Geophysics
Geomagnetic repeat station data
crustal bias
title Repeat station data compared to a global geomagnetic field model
title_full Repeat station data compared to a global geomagnetic field model
title_fullStr Repeat station data compared to a global geomagnetic field model
title_full_unstemmed Repeat station data compared to a global geomagnetic field model
title_short Repeat station data compared to a global geomagnetic field model
title_sort repeat station data compared to a global geomagnetic field model
topic Geomagnetic repeat station data
crustal bias
url http://www.annalsofgeophysics.eu/index.php/annals/article/view/5410
work_keys_str_mv AT monikakorte repeatstationdatacomparedtoaglobalgeomagneticfieldmodel
AT vincentlesur repeatstationdatacomparedtoaglobalgeomagneticfieldmodel