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Interplanetary particle transport simulation for warning system for aviation exposure to solar energetic particles

2015/06/02 by Yûki Kubo, Ryuho Kataoka, Tatsuhiko Sato · 17 citations
Physics and Astronomy · #Aviation #Convection–diffusion equation #Event (particle physics) #Interplanetary magnetic field #Interplanetary spaceflight #Ionosphere and magnetosphere dynamics #Lightning and Electromagnetic Phenomena #Satellite #Solar and Space Plasma Dynamics #Solar energetic particles #Space weather #Warning system #astro-ph.SR #physics.space-ph

paper · pdf · doi:10.1186/s40623-015-0260-9

published in Earth Planets and Space 67(1) (Springer Nature) · 23 pages, 11 figures, accepted for publication in Earth, Planets and Space

arxiv created 2015/06/02 · openalex publication_date 2015/07/28 · arxiv updated 2015/08/07 · openalex created_date 2016/06/24 · openalex updated_date 2026/08/05

Abstract

Solar energetic particles (SEPs) are one of the extreme space weather phenomena. A huge SEP event increases the radiation dose received by aircrews, who should be warned of such events as early as possible. We developed a warning system for aviation exposure to SEPs. This article describes one component of the system, which calculates the temporal evolution of the SEP intensity and the spectrum immediately outside the terrestrial magnetosphere. To achieve this, we performed numerical simulations of SEP transport in interplanetary space, in which interplanetary SEP transport is described by the focused transport equation. We developed a new simulation code to solve the equation using a set of stochastic differential equations. In the code, the focused transport equation is expressed in a magnetic field line coordinate system, which is a non-orthogonal curvilinear coordinate system. An inverse Gaussian distribution is employed as the injection profile of SEPs at an inner boundary located near the Sun. We applied the simulation to observed SEP events as a validation test. The results show that our simulation can closely reproduce observational data for the temporal evolution of particle intensity. By employing the code, we developed the WArning System for AVIation Exposure to Solar energetic particles (WASAVIES).

Citations