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    Modeling of the cold electron plasma density for radiation belt physics

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    Authors
    Ripoll, J.-F.
    Pierrard, V.
    Cunningham, G.S.
    Chu, X.
    Sorathia, K.A.
    Hartley, D.P.
    Thaller, S.A.
    Merkin, V.G.
    Delzanno, G.L.
    De Pascuale, S.
    Ukhorskiy, A.Y.
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    Discipline
    Physical sciences
    Subject
    electron density
    plasmasphere
    plasmapause
    empirical models
    physical models
    machine learning
    radiation belts
    Audience
    Scientific
    Date
    2023
    Metadata
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    Description
    This review focusses strictly on existing plasma density models, including ionospheric source models, empirical density models, physics-based and machine-learning density models. This review is framed in the context of radiation belt physics and space weather codes. The review is limited to the most commonly used models or to models recently developed and promising. A great variety of conditions is considered such as the magnetic local time variation, geomagnetic conditions, ionospheric source regions, radial and latitudinal dependence, and collisional vs. collisionless conditions. These models can serve to complement satellite observations of the electron plasma density when data are lacking, are for most of them commonly used in radiation belt physics simulations, and can improve our understanding of the plasmasphere dynamics.
    Citation
    Ripoll, J.-F.; Pierrard, V.; Cunningham, G.S.; Chu, X.; Sorathia, K.A.; Hartley, D.P.; Thaller, S.A.; Merkin, V.G.; Delzanno, G.L.; De Pascuale, S.; Ukhorskiy, A.Y. (2023). Modeling of the cold electron plasma density for radiation belt physics. , Frontiers in Astronomy and Space Sciences, Vol. 10, A1096595, DOI: 10.3389/fspas.2023.1096595.
    Identifiers
    uri: https://orfeo.belnet.be/handle/internal/10759
    doi: http://dx.doi.org/10.3389/fspas.2023.1096595
    scopus:
    Type
    Article
    Peer-Review
    Yes
    Language
    eng
    Links
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