Japan Geoscience Union Meeting 2018

Presentation information

[EE] Evening Poster

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

[P-EM16] Dynamics of Earth's Inner Magnetosphere and Initial Results from Arase

Tue. May 22, 2018 5:15 PM - 6:30 PM Poster Hall (International Exhibition Hall7, Makuhari Messe)

convener:Danny Summers(Memorial University of Newfoundland), Yoshizumi Miyoshi(Institute for Space-Earth Environmental Research, Nagoya University), Keisuke Hosokawa(電気通信大学大学院情報理工学研究科, 共同), Yusuke Ebihara(Research Institute for Sustainable Humanosphere, Kyoto University)

[PEM16-P22] Prediction of high-energy electron spectra from quasi-realtime data by the Arase satellite

*Kaori Sakaguchi1, Tsutomu Nagatsuma1, Nana Higashio2, Takefumi Mitani2, Takeshi Takashima2, Ayako Matsuoka2, Yoshizumi Miyoshi3, Iku Shinohara2, Masahito Nose4 (1.National Institute of Information and Communications Technology, 2.Japan Aerospace Exploration Agency, 3.Nagoya University, 4.Kyoto University)

Keywords:Radiation belt prediction, Arase satellite, electron energy spectra, Kalman filter

High-energy electrons in the radiation belts cause satellites anomalies due to deep dielectrics charging by electrons penetrating and accumulated inside satellites. The penetration depth of electrons into exterior material depends on energy. Therefore, it is important to predict the energy spectrum of high energy electrons to evaluate the risk of deep charging. Particle detectors of XEP (extremely high-energy electron experiment) and HEP (high-energy electron experiment) onboard the Arase satellite measure electron fluxes of energies from ~100 keV to a few MeV, which is a critical range causing deep charging. The data is provided in quasi realtime. Since it is Qualitatively known that the high-energy electrons in the radiation belts are accelerated throughout interaction processes between energy layers, and there are delays in variation between energies and between regions. Simple correlation analyses using observation data of Arase showed delayed peaks of electron variations. In this presentation, we report prediction results of electron energy spectrum using Kalman filter and its prediction accuracy.