Open AccessThe System Science Development of Local Time‐Dependent 40‐keV Electron Flux Models for Geostationary Orbit
Author(s) -
Boynton R. J.,
Amariutei O. A.,
Shprits Y. Y.,
Balikhin M. A.
Publication year - 2019
Publication title -
space weather
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.254
H-Index - 56
ISSN - 1542-7390
DOI - 10.1029/2018sw002128
Subject(s) - geostationary orbit , geosynchronous orbit , van allen radiation belt , van allen probes , local time , geostationary operational environmental satellite , autoregressive model , satellite , solar wind , nonlinear system , flux (metallurgy) , physics , ring current , bin , nonlinear autoregressive exogenous model , meteorology , computational physics , environmental science , magnetosphere , computer science , mathematics , statistics , algorithm , astronomy , plasma , materials science , quantum mechanics , metallurgy
At geosynchronous Earth orbit, the radiation belt/ring current electron fluxes with energies up to several hundred kiloelectron volts can vary widely in magnetic local time (MLT). This study aims to develop Nonlinear AutoRegressive eXogenous models using system science techniques, which account for the spatial variation in MLT. This is difficult for system science techniques, since there is sparse data availability of the electron fluxes at different MLT. To solve this problem, the data are binned from Geostationary Operational Environmental Satellites (GOES) 13, 14, and 15 by MLT, and a separate Nonlinear AutoRegressive eXogenous model is deduced for each bin using solar wind variables as the inputs to the model. These models are then conjugated into one spatiotemporal forecast. The model performance statistics for each model varies in MLT with a prediction efficiency between 47% and 75% and a correlation coefficient between 51.3% and 78.9% for the period from 1 March 2013 to 31 December 2017.