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    The probabilistic solar particle event forecasting (PROSPER) model

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    Authors
    Papaioannou, A.
    Vainio, R.
    Raukunen, O.
    Jiggens, P.
    Aran, A.
    Dierckxsens, M.
    Mallios, S.A.
    Paassilta, M.
    Anastasiadis, A.
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    Discipline
    Physical sciences
    Subject
    solar flares
    coronal mass ejections
    solar energetic particles
    operational tool
    validation
    radiation storms
    Audience
    Scientific
    Date
    2022
    Metadata
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    Description
    The Probabilistic Solar Particle Event foRecasting (PROSPER) model predicts the probability of occurrence and the expected peak flux of solar energetic particle (SEP) events. Predictions are derived for a set of integral proton energies (i.e., E > 10, > 30, and > 100 MeV) from characteristics of solar flares (longitude, magnitude), coronal mass ejections (width, speed), and combinations of both. Herein the PROSPER model methodology for deriving the SEP event forecasts is described, and the validation of the model, based on archived data, is presented for a set of case studies. The PROSPER model has been incorporated into the new operational advanced solar particle event casting system (ASPECS) tool to provide nowcasting (short term forecasting) of SEP events as part of ESA’s future SEP advanced warning system (SAWS). ASPECS also provides the capability to interrogate PROSPER for historical cases via a run-on-demand functionality.
    Citation
    Papaioannou, A.; Vainio, R.; Raukunen, O.; Jiggens, P.; Aran, A.; Dierckxsens, M.; Mallios, S.A.; Paassilta, M.; Anastasiadis, A. (2022). The probabilistic solar particle event forecasting (PROSPER) model. , Journal of Space Weather and Space Climate, Vol. 12, A24, DOI: 10.1051/swsc/2022019.
    Identifiers
    uri: https://orfeo.belnet.be/handle/internal/9988
    doi: http://dx.doi.org/10.1051/swsc/2022019
    scopus:
    Type
    Article
    Peer-Review
    Yes
    Language
    eng
    Links
    NewsHelpdeskBELSPO OA Policy

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