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Study of the solar wind coupling to the time difference horizontal geomagnetic field

Wintoft, Peter LU (2005) In Annales Geophysicae 23(5). p.1949-1957
Abstract
The local ground geomagnetic field fluctuations (AB) are dominated by high frequencies and 83% of the power is located at periods of 32 min or less. By forming 10-min root-mean-square (RMS) of A B a major part of this variation is captured. Using measured geomagnetic induced currents (GIC), from a power grid transformer in Southern Sweden, it is shown that the 10-min standard deviation GIC may be computed from a linear model using the RMS AX and Delta Y at Brorfelde (BFE: 11.67 degrees E, 55.63 degrees N), Denmark, and Uppsala (UPS: 17.35 degrees E, 59.90 degrees N), Sweden, with a correlation of 0.926 +/- 0.015. From recurrent neural network models, that are driven by solar wind data, it is shown that the log RMS Delta X and Delta Y at... (More)
The local ground geomagnetic field fluctuations (AB) are dominated by high frequencies and 83% of the power is located at periods of 32 min or less. By forming 10-min root-mean-square (RMS) of A B a major part of this variation is captured. Using measured geomagnetic induced currents (GIC), from a power grid transformer in Southern Sweden, it is shown that the 10-min standard deviation GIC may be computed from a linear model using the RMS AX and Delta Y at Brorfelde (BFE: 11.67 degrees E, 55.63 degrees N), Denmark, and Uppsala (UPS: 17.35 degrees E, 59.90 degrees N), Sweden, with a correlation of 0.926 +/- 0.015. From recurrent neural network models, that are driven by solar wind data, it is shown that the log RMS Delta X and Delta Y at the two locations may be predicted up to 30 min in advance with a correlation close to 0.8: 0.78 +/- 0.02 for both directions at BFE; 0.81 +/- 0.02 and 0.80 +/- 0.02 in the X- and Y-directions, respectively, at UPS. The most important inputs to the models are the 10-min averages of the solar wind magnetic field component B, and velocity V, and the 10-min standard deviation of the proton number density a,. The average proton number density n has no influence. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
rapid time variations, geomagnetism and paleomagnetism, magnetosphere interactions, Magnetospheric physics, Solar wind
in
Annales Geophysicae
volume
23
issue
5
pages
1949 - 1957
publisher
European Geosciences Union
external identifiers
  • wos:000231706400039
  • scopus:24044442259
ISSN
1432-0576
language
English
LU publication?
yes
id
a4d3cbfa-e587-4a27-9779-0b79ff633c25 (old id 225108)
alternative location
http://www.ann-geophys.net/23/1949/2005/angeo-23-1949-2005.pdf
date added to LUP
2007-10-05 16:30:57
date last changed
2017-01-01 05:16:06
@article{a4d3cbfa-e587-4a27-9779-0b79ff633c25,
  abstract     = {The local ground geomagnetic field fluctuations (AB) are dominated by high frequencies and 83% of the power is located at periods of 32 min or less. By forming 10-min root-mean-square (RMS) of A B a major part of this variation is captured. Using measured geomagnetic induced currents (GIC), from a power grid transformer in Southern Sweden, it is shown that the 10-min standard deviation GIC may be computed from a linear model using the RMS AX and Delta Y at Brorfelde (BFE: 11.67 degrees E, 55.63 degrees N), Denmark, and Uppsala (UPS: 17.35 degrees E, 59.90 degrees N), Sweden, with a correlation of 0.926 +/- 0.015. From recurrent neural network models, that are driven by solar wind data, it is shown that the log RMS Delta X and Delta Y at the two locations may be predicted up to 30 min in advance with a correlation close to 0.8: 0.78 +/- 0.02 for both directions at BFE; 0.81 +/- 0.02 and 0.80 +/- 0.02 in the X- and Y-directions, respectively, at UPS. The most important inputs to the models are the 10-min averages of the solar wind magnetic field component B, and velocity V, and the 10-min standard deviation of the proton number density a,. The average proton number density n has no influence.},
  author       = {Wintoft, Peter},
  issn         = {1432-0576},
  keyword      = {rapid time variations,geomagnetism and paleomagnetism,magnetosphere interactions,Magnetospheric physics,Solar wind},
  language     = {eng},
  number       = {5},
  pages        = {1949--1957},
  publisher    = {European Geosciences Union},
  series       = {Annales Geophysicae},
  title        = {Study of the solar wind coupling to the time difference horizontal geomagnetic field},
  volume       = {23},
  year         = {2005},
}