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Extremal forecast of latitude, longitude and intensity of the geomagnetic dipole between 2019 and 2119 (NERC Grant NE/P016758/1)

Publisher
British Geological Survey (BGS)
Updated
28 August 2026
Topic
Not set
Licence
Not set

Summary

This dataset contains extremal forecast of latitutude (lat), longitude (lon) and intensity of the geomagnetic dipole between 2019 and 2119. The geomagnetic dipole is evolved by a fluid flow at the core-mantle boundary that maximises the rate-of-change of the dipole latitude. The forecast is calculated from the year 2019 assuming that the geomagnetic field is described by the CHAOS-7 dataset. The optimisation procedure is described in https://doi.org/10.3390/geosciences11080318

Data links

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Data 28/8/2026

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Additional information

Source Metadata
XML, HTML
Date added
28 August 2026
Harvest GUID
d6923465-3407-38e2-e054-002128a47908
Dataset reference date (creation)
2022-01-20
Frequency of update
notApplicable
Access constraints
The copyright of materials derived from the British Geological Survey's work is vested in the Natural Environment Research Council [NERC]. No part of this work may be reproduced or transmitted in any form or by any means, or stored in a retrieval system of any nature, without the prior permission of the copyright holder, via the BGS Intellectual Property Rights Manager. Use by customers of information provided by the BGS, is at the customer's own risk. In view of the disparate sources of information at BGS's disposal, including such material donated to BGS, that BGS accepts in good faith as being accurate, the Natural Environment Research Council (NERC) gives no warranty, expressed or implied, as to the quality or accuracy of the information supplied, or to the information's suitability for any use. NERC/BGS accepts no liability whatever in respect of loss, damage, injury or other occurence however caused.
Responsible party
University of Liverpool (principalInvestigator); ETH Zurich (originator); British Geological Survey (distributor, pointOfContact)
ISO 19139 resource type
nonGeographicDataset
Metadata language
eng

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