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Including the temporal dimension in the SECS technique [Dataset]

AuthorsMarsal, Santiago; Torta, Joan Miquel; Pavón-Carrasco, Fco. Javier; Blake, Sean P.; Piersanti, Mirko
Space Weather
Issue Date2020
CitationMarsal, S., Torta, J. M., Pavón-Carrasco, F. J., Blake, S. P., Piersanti, M., (2020). Including the Temporal Dimension in the SECS Technique [Dataset]. DIGITAL.CSIC repository. http://dx.doi.org/10.20350/digitalCSIC/12514
ReferencesMarsal, S.; Torta, J. M.; Pavón-Carrasco, F. J.; Blake, S. P.; Piersanti, M. (2020); “Including the temporal dimension in the SECS technique; Space Weather Journal (under review)
Appears in Collections:(OE) Conjuntos de datos
Files in This Item:
File Description SizeFormat 
MATLAB_OUTPUT.matMatlab matrix containing 5-s ground magnetic data (nT) obtained from the SWMF model for the synthetic case.1,21 GBMatlab binary fileView/Open
LonLatVirt_3997_118.matMatlab matrix containing geodetic (longitude, latitude) of the 4115 observatories corresponding to the 3rd dimension of MATLAB_OUTPUT.mat matrix.65,5 kBMatlab binary fileView/Open
ContinuacioCamp_20010331_Step1_rep.xlsxExcel file with SECS poles locations (geodetic coor.) used as input for Step 1 of the synthetic case.1,14 MBMicrosoft Excel XMLView/Open
ContinuacioCamp_20010331_Steps2-4_rep.xlsxExcel file with SECS poles locations (geodetic coor.) used as input for Steps 2 - 4 of the synthetic case.65,42 kBMicrosoft Excel XMLView/Open
ContinuacioCamp_19910324_rep.xlsxExcel file with different sheets used as input to the real case study (24 March 1991 SC).176,96 kBMicrosoft Excel XMLView/Open
Readme.txtDetailed description of the file contents.2,01 kBTextView/Open
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