文章基本信息

标题：Specifying High-Altitude Electrons Using Low-Altitude LEO Systems: The SHELLS Model
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作者：S. G. Claudepierre ; T. P. O'Brien
期刊名称：Space Weather
印刷版ISSN：1542-7390
出版年度：2020
卷号：18
期号：3
页码：1-11
DOI：10.1029/2019SW002402
语种：English
出版社：American Geophysical Union
摘要：We describe an artificial neural network model of the near-Earth space radiation environment. The geomagnetic activity index and low-earth-orbit (LEO) electron flux measurements from the National Oceanic and Atmospheric Administration Polar-orbiting Operational Environmental Satellite (POES) operational spacecraft are used as model training inputs. Electron fluxes from National Aeronautics and Space Administration's Van Allen Probe spacecraft form the training outputs. We demonstrate that the model can accurately specify outer radiation belt (–7) electron fluxes at two energies, 350 keV and 1 MeV. Various performance metrics are calculated using out-of-sample data, and we find high correlations and low errors between the model specification and the observed flux. We emphasize that once the model is trained, the Van Allen Probes data are no longer needed at model run time; only the POES fluxes and the index are required to specify the outer electron belt using the model.