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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Wiley
2020-03-01
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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. |
format | Article |
id | doaj-art-5664c1bb509547fc9d22ff0c30a255b1 |
institution | Kabale University |
issn | 1542-7390 |
language | English |
publishDate | 2020-03-01 |
publisher | Wiley |
record_format | Article |
series | Space Weather |
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 |