Japan Geoscience Union Meeting 2025

Presentation information

[J] Oral

P (Space and Planetary Sciences ) » P-EM Solar-Terrestrial Sciences, Space Electromagnetism & Space Environment

[P-EM16] Heliosphere and Interplanetary Space

Mon. May 26, 2025 3:30 PM - 5:00 PM 302 (International Conference Hall, Makuhari Messe)

convener:Kazumasa Iwai(Institute for Space–Earth Environmental Research (ISEE), Nagoya University), Yasuhiro Nariyuki(Faculty of Education, University of Toyama), Masaki N Nishino(Japan Aerospace Exploration Agency, Institute of Space and Astronautical Science), Ken Tsubouchi(University of Electro-Communications), Chairperson:Kazumasa Iwai(Institute for Space–Earth Environmental Research (ISEE), Nagoya University), Masayoshi Kozai(Polar Environment Data Science Center, Joint Support-Center for Data Science Research, Research Organization of Information and Systems)

4:30 PM - 4:45 PM

[PEM16-10] On relationship between diffusion models of fluid particles and statistical theories of anisotropic magnetohydrodynamic turbulence

*Yasuhiro Nariyuki1 (1.Faculty of Education, University of Toyama)

Keywords:MHD turbulence, solar wind, statistical theory, diffusion

It is well known that magnetohydrodynamic (MHD) fluctuations in the solar wind usually have turbulent spectra [Bruno+Carbone, 2013; and references therein]. While characteristics of MHD turbulence in the solar wind have been discussed over four decades, some important points have not been fully understood yet. In this presentation, we discuss relationship between diffusion model of fluid particles and statistical theories of anisotropic magnetohydrodynamic turbulence. From the point of view of statistical theory of turbulence, several approaches have been applied to the MHD turbulence [e.g., Pouquet et al, 1976; Grappin et al, 1982; Veltri et al, 1982; Goldreich+Sridhar, 1995; Nakayama, 1999; 2001]. We revisit to diffusion models of fluid particles [e.g., Roberts, 1961; Kraichnan, 1970] and discuss the relationship between diffusion models and Eulerian and Lagrangian statistical theories [e.g., Nakayama, 1999;2001;2002].