Accurately specifying storm‐time ULF wave radial diffusion in the radiation belts

DOI Web Site Web Site 被引用文献2件
  • Stavros Dimitrakoudis
    National Observatory of Athens, Institute for Astronomy, Astrophysics Space Applications and Remote Sensing Penteli Greece
  • Ian R. Mann
    Department of Physics University of Alberta Edmonton Alberta Canada
  • Georgios Balasis
    National Observatory of Athens, Institute for Astronomy, Astrophysics Space Applications and Remote Sensing Penteli Greece
  • Constantinos Papadimitriou
    National Observatory of Athens, Institute for Astronomy, Astrophysics Space Applications and Remote Sensing Penteli Greece
  • Anastasios Anastasiadis
    National Observatory of Athens, Institute for Astronomy, Astrophysics Space Applications and Remote Sensing Penteli Greece
  • Ioannis A. Daglis
    National Observatory of Athens, Institute for Astronomy, Astrophysics Space Applications and Remote Sensing Penteli Greece

書誌事項

公開日
2015-07-23
権利情報
  • http://onlinelibrary.wiley.com/termsAndConditions#vor
DOI
  • 10.1002/2015gl064707
公開者
American Geophysical Union (AGU)

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説明

<jats:title>Abstract</jats:title><jats:p>Ultralow frequency (ULF) waves can contribute to the transport, acceleration, and loss of electrons in the radiation belts through inward and outward diffusion. However, the most appropriate parameters to use to specify the ULF wave diffusion rates are unknown. Empirical representations of diffusion coefficients often use <jats:italic>Kp</jats:italic>; however, specifications using ULF wave power offer an improved physics‐based approach. We use 11 years of ground‐based magnetometer array measurements to statistically parameterize the ULF wave power with <jats:italic>Kp</jats:italic>, solar wind speed, solar wind dynamic pressure, and <jats:italic>Dst</jats:italic>. We find that <jats:italic>Kp</jats:italic> is the best single parameter to specify the statistical ULF wave power driving radial diffusion. Significantly, remarkable high energy tails exist in the ULF wave power distributions when expressed as a function of <jats:italic>Dst</jats:italic>. Two‐parameter ULF wave power specifications using <jats:italic>Dst</jats:italic> as well as <jats:italic>Kp</jats:italic> provide a better statistical representation of storm‐time radial diffusion than any single variable alone.</jats:p>

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