Machine‐Learning Based Identification of the Critical Driving Factors Controlling Storm‐Time Outer R...
Machine‐Learning Based Identification of the Critical Driving Factors Controlling Storm‐Time Outer Radiation Belt Electron Flux Dropouts
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Washington: John Wiley & Sons, Inc
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English
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Washington: John Wiley & Sons, Inc
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Understanding and forecasting outer radiation belt electron flux dropouts is one of the top concerns in space physics. By constructing Support Vector Machine (SVM) models to predict storm‐time dropouts for both relativistic and ultra‐relativistic electrons over L = 4.0–6.0, we investigate the nonlinear correlations between various driving factors (...
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Machine‐Learning Based Identification of the Critical Driving Factors Controlling Storm‐Time Outer Radiation Belt Electron Flux Dropouts
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TN_cdi_doaj_primary_oai_doaj_org_article_d0a47a6a9f734136961b8983bc03004f
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d0a47a6a9f734136961b8983bc03004f
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ISSN
0094-8276
E-ISSN
1944-8007
DOI
10.1029/2024GL108268
