Description
Results of 3-D modeling of the geoelectric field at the Finnish Meteorological Institute (FMI) magnetometers' locations during the Halloween geomagnetic storm in October 2003 and geomagnetic storm in September 2017 using the multi-site transfer function approach (Kruglyakov et al., 2023):File E_MSTF_20031030190000_20031030225950.dat contains the geoelectric field time series (in mV/km) modeled during 4 hours of the Halloween geomagnetic storm in 2003 (2003/10/30 19:00:00 - 2003/10/30 22:59:50 UT).File E_MSTF_20170907220000_20170908015950.dat contains the geoelectric field time series (in mV/km) modeled during 4 hours of the geomagnetic storm in September 2017 (2017/09/07 22:00:00 - 2017/09/08 01:59:50 UT).Results of the geoelectric field modeling at the FMI magnetometers' locations during the Halloween geomagnetic storm in October 2003 and geomagnetic storm in September 2017 using 3-D and 1-D magnetotelluric (MT) impedances:File E_3D_MT_20031030190000_20031030225950.dat contains the geoelectric field time series (in mV/km) modeled during 4 hours of the Halloween geomagnetic storm in 2003 (2003/10/30 19:00:00 - 2003/10/30 22:59:50 UT) using 3D MT impedances.File E_1D_MT_20031030190000_20031030225950.dat contains the geoelectric field time series (in mV/km) modeled during 4 hours of the Halloween geomagnetic storm in 2003 (2003/10/30 19:00:00 - 2003/10/30 22:59:50 UT) using 1D MT impedances.File E_3D_MT_20170907220000_20170908015950.dat contains the geoelectric field time series (in mV/km) modeled during 4 hours of the geomagnetic storm in September 2017 (2017/09/07 22:00:00 - 2017/09/08 01:59:50 UT) using 3D MT impedances.File E_1D_MT_20170907220000_20170908015950.dat contains the geoelectric field time series (in mV/km) modeled during 4 hours of the geomagnetic storm in September 2017 (2017/09/07 22:00:00 - 2017/09/08 01:59:50 UT) using 1D MT impedances.All files are in plain-text (column-based) format.
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Publication Details
DOI
Publisher
Zenodo
Subfield
Molecular Biology
Field
Biochemistry, Genetics and Molecular Biology
Domain
Life Sciences
Confidence Score
95%
Source
Open Alex