日本地球惑星科学連合2019年大会

講演情報

[E] 口頭発表

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-EM12] Space Weather and Space Climate

2019年5月28日(火) 09:00 〜 10:30 A04 (東京ベイ幕張ホール)

コンビーナ:片岡 龍峰(国立極地研究所)、Antti A Pulkkinen(NASA Goddard Space Flight Center)、草野 完也(名古屋大学宇宙地球環境研究所)、坂口 歌織(情報通信研究機構)、座長:片岡 龍峰(国立極地研究所)

09:30 〜 09:45

[PEM12-27] 太陽高エネルギー粒子(SEP)の発生に関する統計的研究

*木原 孝輔1黄 于蔚2西村 信彦3八代 誠司4新田 就亮5一本 潔2浅井 歩2 (1.京都大学理学研究科宇宙物理学教室、2.京都大学大学院理学研究科附属天文台、3.名古屋大学宇宙地球環境研究所 、4.米国カトリック大学物理学科、5.ロッキード・マーティン太陽天体物理学研究所)

キーワード:太陽高エネルギー粒子、コロナ質量放出、宇宙天気

Solar energetic particles (SEPs), which originate in powerful eruptions in the solar corona, give rise to critical radiation hazards for astronauts and airline passengers, causing damages to satellites, which result in serious societal impacts. The SEP phenomenon encompasses many cross-disciplinary fields, so collaborative research is indispensable. As a part of the Japanese space weather project PSTEP (Project for Solar-Terrestrial Environment Prediction), a Coordinated Data Analysis Workshop (CDAW) was held at Kyoto University in August 2018. As a first step toward building the capabilities to predict SEP events, we need to better understand what solar eruptions lead to SEP events of varying magnitudes. One approach, as adopted by this CDAW, is to start from energetic coronal mass ejections (CMEs) regardless of SEP occurrences, rather than from the actual SEP events. We first identified 197 CMEs between 2006 and 2017 that were faster than 900 km/s and wider than 60 degrees, as determined using data from SOHO/LASCO.

Our first objective is to characterize the basic properties of SEP events, such as the occurrence, proton flux intensity, and their time variations. We examined proton peak intensity, duration, and onset time with respect to the extrapolated CME onset time, using GOES >10-MeV proton data. STEREO LET and HET data were also analyzed to study the longitudinal distribution of the SEPs. We investigated the correlations of these SEP properties with the source longitude and speed of the CMEs, and soft X-ray intensity of the associated solar flares. We found that the SEP onset time is correlated with the source longitude of the CMEs. There were correlations between other parameters that we found in our statistical analysis, which will also be discussed. Finally, we will present examples of peculiar SEP events that were found as outliers in some scatter plots.