Magnetotelluric data for the Halloween 2003 magnetic storm in the vicinity of Uppsala and Eskdalemuir geomagnetic observatories (synthesized using geomagnetic observatory data from INTERMAGNET) (NERC Grant NE/P016782/1)

Magnetotelluric data for the Halloween 2003 magnetic storm in the vicinity of Uppsala (UPS), Sweden and Eskdalemuir (ESK), Scotland geomagnetic observatories synthesized from geomagnetic observatory data from INTERMAGNET. The data were generated to facilitate comparison of the ground effects of the Halloween 2003 magnetic storm in Sweden and Scotland. The data demonstrate the greater risk of hazardous storm-time electric fields being generated in southern Sweden compared to central Scotland and are further described in the gold open access paper: F. Simpson and K. Bahr, 2020a. The role of tectonic-plate thickness and mantle conductance in determining regional vulnerability to extreme space weather events: possible enhancement of magnetic source fields by secondary induction in the asthenosphere. Space Weather, accepted, doi pending. The synthesis technique that enables electric fields to be estimated from geomagnetic observatory data is described and validated in the following gold open access papers: F. Simpson and K. Bahr, 2020b. Nowcasting and validating Earth's electric field response to extreme space weather events using magnetotelluric data: application to the September 2017 geomagnetic storm and comparison to observed and modelled fields in Scotland, Space Weather, 18, e2019SW002432, https://doi.org/10.1029/2019SW002432. F. Simpson and K. Bahr, 2020c. Estimating the electric field response to the Halloween 2003 and September 2017 magnetic storms across Scotland using observed geomagnetic fields, magnetotelluric impedances and perturbation tensors, JSWSC, swsc200019, 10, (48), https://doi.org/10.1051/swsc/2020049.
 
Citation proposal
. Magnetotelluric data for the Halloween 2003 magnetic storm in the vicinity of Uppsala and Eskdalemuir geomagnetic observatories (synthesized using geomagnetic observatory data from INTERMAGNET) (NERC Grant NE/P016782/1). https://metadata.bgs.ac.uk/geonetwork/srv/api/records/b36d5429-ffca-3b31-e054-002128a47908

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Date ( Creation )
2020-11-05
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http://data.bgs.ac.uk/id/dataHolding/13607681

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GEMET - INSPIRE themes
  • Geology
BGS Thesaurus of Geosciences
  • Magnetotelluric surveys , Magnetic disturbances , Geomagnetism
Keywords
  • NERC_DDC
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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.
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Available under the Open Government Licence subject to the following acknowledgement accompanying the reproduced NERC materials "Contains NERC materials ©NERC [year]"
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textTable Text, table
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English English
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  • Geoscientific information
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https://webapps.bgs.ac.uk/services/ngdc/accessions/index.html#item138925  
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Date ( Publication )
2011
Explanation
See the referenced specification
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false

Conformance result

Date ( Publication )
2010-12-08
Explanation
See http://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:L:2010:323:0011:0102:EN:PDF
Pass
false
Statement
The magnetotelluric method is described in F. Simpson and K. Bahr, 2005. Practical Magnetotellurics, Cambridge University Press, London pp. 254, 2005, ISBN: 9781108462556, DOI: 10.1017/CBO9780511614095

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b36d5429-ffca-3b31-e054-002128a47908   XML
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English English
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dataset Dataset
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2021-04-09
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2.3

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http://data.bgs.ac.uk/id/dataHolding/13607681
 
 

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