Specifying High‐Altitude Electrons Using Low‐Altitude LEO Systems: The SHELLS Model

Abstract We describe an artificial neural network model of the near‐Earth space radiation environment. The geomagnetic activity index Kp and low‐earth‐orbit (LEO) electron flux measurements from the National Oceanic and Atmospheric Administration Polar‐orbiting Operational Environmental Satellite (P...

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Main Authors: S. G. Claudepierre, T. P. O'Brien
Format: Article
Language:English
Published: Wiley 2020-03-01
Series:Space Weather
Subjects:
Online Access:https://doi.org/10.1029/2019SW002402
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author S. G. Claudepierre
T. P. O'Brien
author_facet S. G. Claudepierre
T. P. O'Brien
author_sort S. G. Claudepierre
collection DOAJ
description Abstract We describe an artificial neural network model of the near‐Earth space radiation environment. The geomagnetic activity index Kp 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 ( L∼3–7) 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 Kp index are required to specify the outer electron belt using the model.
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spelling doaj-art-5664c1bb509547fc9d22ff0c30a255b12025-01-14T16:27:19ZengWileySpace Weather1542-73902020-03-01183n/an/a10.1029/2019SW002402Specifying High‐Altitude Electrons Using Low‐Altitude LEO Systems: The SHELLS ModelS. G. Claudepierre0T. P. O'Brien1Space Sciences Department The Aerospace Corporation El Segundo CA USASpace Sciences Department The Aerospace Corporation El Segundo CA USAAbstract We describe an artificial neural network model of the near‐Earth space radiation environment. The geomagnetic activity index Kp 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 ( L∼3–7) 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 Kp index are required to specify the outer electron belt using the model.https://doi.org/10.1029/2019SW002402radiation beltneural networkinternal chargingforecastPOESVan Allen Probes
spellingShingle S. G. Claudepierre
T. P. O'Brien
Specifying High‐Altitude Electrons Using Low‐Altitude LEO Systems: The SHELLS Model
Space Weather
radiation belt
neural network
internal charging
forecast
POES
Van Allen Probes
title Specifying High‐Altitude Electrons Using Low‐Altitude LEO Systems: The SHELLS Model
title_full Specifying High‐Altitude Electrons Using Low‐Altitude LEO Systems: The SHELLS Model
title_fullStr Specifying High‐Altitude Electrons Using Low‐Altitude LEO Systems: The SHELLS Model
title_full_unstemmed Specifying High‐Altitude Electrons Using Low‐Altitude LEO Systems: The SHELLS Model
title_short Specifying High‐Altitude Electrons Using Low‐Altitude LEO Systems: The SHELLS Model
title_sort specifying high altitude electrons using low altitude leo systems the shells model
topic radiation belt
neural network
internal charging
forecast
POES
Van Allen Probes
url https://doi.org/10.1029/2019SW002402
work_keys_str_mv AT sgclaudepierre specifyinghighaltitudeelectronsusinglowaltitudeleosystemstheshellsmodel
AT tpobrien specifyinghighaltitudeelectronsusinglowaltitudeleosystemstheshellsmodel