日本地球惑星科学連合2021年大会

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[E] 口頭発表

セッション記号 A (大気水圏科学) » A-OS 海洋科学・海洋環境

[A-OS10] 陸域海洋相互作用ー惑星スケールの物質輸送

2021年6月3日(木) 10:45 〜 12:15 Ch.11 (Zoom会場11)

コンビーナ:山敷 庸亮(京都大学大学院総合生存学館)、升本 順夫(東京大学大学院理学系研究科)、佐々木 貴教(京都大学 大学院理学研究科 宇宙物理学教室)、Behera Swadhin(Climate Variation Predictability and Applicability Research Group, Application Laboratory, JAMSTEC, 3173-25 Showa-machi, Yokohama 236-0001)、座長:山敷 庸亮(京都大学大学院総合生存学館)、佐々木 貴教(京都大学 大学院理学研究科 宇宙物理学教室)

11:45 〜 12:00

[AOS10-11] Relationship between three-dimensional velocity of filament eruptions and CME association

*関 大吉1,3、大辻 賢一2、石井 貴子3、浅井 歩3、一本 潔3 (1.京都大学大学院総合生存学館、2.情報通信研究機構、3.京都大学大学院理学研究科附属天文台)

キーワード:コロナ質量放出、フィラメント、宇宙天気予測、フィラメント噴出、Halpha観測

It is widely recognised that filament disappearances or eruptions are frequently associated with Coronal Mass Ejections (CMEs). Since CMEs are a major source of disturbances of the space environment surrounding the Earth, it is important to investigate these associations in detail for the better prediction of CME occurrence. However, the proportion of filament disappearances associated with CMEs is under debate. The estimates range from ∼10% to ∼90% and could be affected by the manners to select the events.

In this study, we aim to reveal what parameters control the association between filament eruptions and CMEs. We analysed the relationships between CME associations and the physical parameters of filaments including their length, maximum ascending velocity, and direction of eruptions using 28 events of filament eruptions observed in Hα. We found that the product of the maximum radial velocity and the filament length is well correlated with the CME occurrence. If the product is larger than 8.0×106 km2 s−1, the filament will become a CME with a probability of 93%, and if the product is smaller than this value, it will not become a CME with a probability of 100%. We suggest a kinetic-energy threshold above which filament eruptions are associated with CMEs. Our findings also suggest the importance of measuring the velocity vector of filament eruption in three-dimensional space for the better prediction of CME occurrence.