Forecast of the Energetic Electron Environment of the Radiation Belts

Abstract Different modeling methodologies possess different strengths and weakness. For instance, data based models may provide superior accuracy but have a limited spatial coverage while physics based models may provide lower accuracy but provide greater spatial coverage. This study investigates th...

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Main Authors: Simon N. Walker, Richard J. Boynton, Yuri Y. Shprits, Michael A. Balikhin, Alexander Y. Drozdov
Format: Article
Language:English
Published: Wiley 2022-12-01
Series:Space Weather
Subjects:
Online Access:https://doi.org/10.1029/2022SW003124
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author Simon N. Walker
Richard J. Boynton
Yuri Y. Shprits
Michael A. Balikhin
Alexander Y. Drozdov
author_facet Simon N. Walker
Richard J. Boynton
Yuri Y. Shprits
Michael A. Balikhin
Alexander Y. Drozdov
author_sort Simon N. Walker
collection DOAJ
description Abstract Different modeling methodologies possess different strengths and weakness. For instance, data based models may provide superior accuracy but have a limited spatial coverage while physics based models may provide lower accuracy but provide greater spatial coverage. This study investigates the coupling of a data based model of the electron fluxes at geostationary orbit (GEO) with a numerical model of the radiation belt region to improve the resulting forecasts/pastcasts of electron fluxes over the whole radiation belt region. In particular, two coupling methods are investigated. The first assumes an average value for L* for GEO, namely LGEO∗ = 6.2. The second uses a value of L* that varies with geomagnetic activity, quantified using the Kp index. As the terrestrial magnetic field responds to variations in geomagnetic activity, the value of L* will vary for a specific location. In this coupling method, the value of L* is calculated using the Kp driven Tsyganenko 89c magnetic field model for field line tracing. It is shown that this addition can result in changes in the initialization of the parameters at the Versatile Electron Radiation Belt model outer boundary. Model outputs are compared to Van Allen Probes MagEIS measurements of the electron fluxes in the inner magnetosphere for the March 2015 geomagnetic storm. It is found that the fixed LGEO∗ coupling method produces a more realistic forecast.
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spelling doaj-art-baa6c1462512421490175a5e0d1f96d32025-01-14T16:30:23ZengWileySpace Weather1542-73902022-12-012012n/an/a10.1029/2022SW003124Forecast of the Energetic Electron Environment of the Radiation BeltsSimon N. Walker0Richard J. Boynton1Yuri Y. Shprits2Michael A. Balikhin3Alexander Y. Drozdov4Automatic Control and Systems Engineering University of Sheffield Sheffield UKAutomatic Control and Systems Engineering University of Sheffield Sheffield UKHelmholtz Centre Potsdam GFZ German Research Centre for Geosciences Potsdam GermanyAutomatic Control and Systems Engineering University of Sheffield Sheffield UKDepartment of Earth, Planetary, and Space Sciences University of California Los Angeles CA USAAbstract Different modeling methodologies possess different strengths and weakness. For instance, data based models may provide superior accuracy but have a limited spatial coverage while physics based models may provide lower accuracy but provide greater spatial coverage. This study investigates the coupling of a data based model of the electron fluxes at geostationary orbit (GEO) with a numerical model of the radiation belt region to improve the resulting forecasts/pastcasts of electron fluxes over the whole radiation belt region. In particular, two coupling methods are investigated. The first assumes an average value for L* for GEO, namely LGEO∗ = 6.2. The second uses a value of L* that varies with geomagnetic activity, quantified using the Kp index. As the terrestrial magnetic field responds to variations in geomagnetic activity, the value of L* will vary for a specific location. In this coupling method, the value of L* is calculated using the Kp driven Tsyganenko 89c magnetic field model for field line tracing. It is shown that this addition can result in changes in the initialization of the parameters at the Versatile Electron Radiation Belt model outer boundary. Model outputs are compared to Van Allen Probes MagEIS measurements of the electron fluxes in the inner magnetosphere for the March 2015 geomagnetic storm. It is found that the fixed LGEO∗ coupling method produces a more realistic forecast.https://doi.org/10.1029/2022SW003124radiation belt forecastsdata based NARMAX modelingverb simulationsgeostationary orbitelectron flux forecasts
spellingShingle Simon N. Walker
Richard J. Boynton
Yuri Y. Shprits
Michael A. Balikhin
Alexander Y. Drozdov
Forecast of the Energetic Electron Environment of the Radiation Belts
Space Weather
radiation belt forecasts
data based NARMAX modeling
verb simulations
geostationary orbit
electron flux forecasts
title Forecast of the Energetic Electron Environment of the Radiation Belts
title_full Forecast of the Energetic Electron Environment of the Radiation Belts
title_fullStr Forecast of the Energetic Electron Environment of the Radiation Belts
title_full_unstemmed Forecast of the Energetic Electron Environment of the Radiation Belts
title_short Forecast of the Energetic Electron Environment of the Radiation Belts
title_sort forecast of the energetic electron environment of the radiation belts
topic radiation belt forecasts
data based NARMAX modeling
verb simulations
geostationary orbit
electron flux forecasts
url https://doi.org/10.1029/2022SW003124
work_keys_str_mv AT simonnwalker forecastoftheenergeticelectronenvironmentoftheradiationbelts
AT richardjboynton forecastoftheenergeticelectronenvironmentoftheradiationbelts
AT yuriyshprits forecastoftheenergeticelectronenvironmentoftheradiationbelts
AT michaelabalikhin forecastoftheenergeticelectronenvironmentoftheradiationbelts
AT alexanderydrozdov forecastoftheenergeticelectronenvironmentoftheradiationbelts