Using ARMAX Models to Determine the Drivers of 40–150 keV GOES Electron Fluxes

We investigate the drivers of 40–150 keV hourly electron flux at geostationary orbit (GOES 13) using autoregressive moving average transfer functions (ARMAX) multiple regression models which remove the confounding effect of diurnal cyclicity and allow assessment of each parameter independently. By t...

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Veröffentlicht in:	Journal of geophysical research. Space physics 2022-09, Vol.127 (9), p.e2022JA030538-n/a
Hauptverfasser:	Simms, L. E., Ganushkina, N. Yu, Kamp, M., Liemohn, M. W., Dubyagin, S.
Format:	Artikel
Sprache:	eng
Schlagworte:	ARMAX models Autoregressive moving-average models Correlation Electric fields Electron flux electron flux at geosynchronous orbit Fluctuations Geomagnetic activity Geosynchronous orbits High energy electrons Influence Magnetospheres Modelling Multiple regression models Neural networks Parameter identification path analysis Radiation Radiation belts Radiation damage Regression models Solar wind Solar wind effects Solar wind parameters Solar wind velocity Statistical analysis Statistical models substorms Transfer functions ULF waves Variables Wind effects Wind speed Wind velocities
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