日本地球惑星科学連合2025年大会

講演情報

[E] ポスター発表

セッション記号 P (宇宙惑星科学) » P-EM 太陽地球系科学・宇宙電磁気学・宇宙環境

[P-EM13] Dynamics of the Inner Magnetospheric System

2025年5月28日(水) 17:15 〜 19:15 ポスター会場 (幕張メッセ国際展示場 7・8ホール)

コンビーナ:桂華 邦裕(東京大学大学院理学系研究科地球惑星科学専攻)、三好 由純(名古屋大学宇宙地球環境研究所)、Goldstein Jerry(Southwest Research Institute)、Sun YIXIN(Peking University)


17:15 〜 19:15

[PEM13-P10] Comparison of CNA frequency spectra observed by spectroral riometer: substorms, solar flares, and solar proton events during the May 2024 storm

*田中 友啓1小川 泰信1,2田中 良昌1,2,3門倉 昭2,3吹澤 瑞貴2村瀬 清華2細川 敬祐4大山 伸一郎2,5、Kero Antti6 (1.総合研究大学院大学、2.国立極地研究所、3.データサイエンス共同利用基盤施設、4.電気通信大学、5.名古屋大学宇宙環境研究所、6.オウル大学)

キーワード:スペクトルリオメータ、サブストーム、太陽フレア、プロトン

A spectral riometer measures cosmic noise absorption (CNA) in the frequency (20-55 MHz) and is expected to have an ability to estimate the altitude profile of the electron density especially in the lower ionosphere. Basically, the magnitude of CNA is expected to be proportional to the −2 power of the observed frequency when the electron density enhancement occurs at higher altitudes (>70 km), while the power index would be larger than -2 when the enhancement occurs at altitude lower than 70 km. However, the usage of these data should be discussed as the method of analysis has not been fully established.
During the May 2024 solar magnetic storm event, the spectral riometers in Kilpisjärvi (KIL, 69.07°N 20.75°E) observed a number of CNA enhancements. We found the CNA enhancements were mainly caused by three different precipitation events: substorms, solar flares, and solar protons, which make different altitude profiles of ionization. As the power index was thought to be different up to the tpes of events, we investigated the index of each events separately and found that the index tend to increse from -2 to larger in order of ionization altitude profiles depending on the type of event as expected. This result strongly supports that the spectral riometer is capable of detecting the ionization at low altitudes (< 70km).
In this presentation, we will show the results of a statistical analysis of the power index of the CNA spectrum and discuss appropriate method of analysing the data.