日本地球惑星科学連合2022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-EM09] 宇宙天気・宇宙気候

2022年5月23日(月) 15:30 〜 17:00 302 (幕張メッセ国際会議場)

コンビーナ:片岡 龍峰(国立極地研究所)、コンビーナ:Pulkkinen Antti A(NASA Goddard Space Flight Center)、坂口 歌織(情報通信研究機構)、コンビーナ:塩田 大幸(国立研究開発法人 情報通信研究機構)、座長:坂口 歌織(情報通信研究機構)、片岡 龍峰(国立極地研究所)

15:30 〜 15:45

[PEM09-19] Thermospheric mass density variations at altitudes between 150-250 km

★Invited Papers

*藤原 均1三好 勉信2片岡 龍峰3 (1.成蹊大学サステナビリティ教育研究センター/理工学部、2.九州大学大学院理学研究院、3.国立極地研究所)

キーワード:熱圏、質量密度、低高度衛星

Thermospheric mass density is one of the most difficult parameters to predict its spatio-temporal variations. For example, annual and semi-annual variations of the thermospheric mass density are so complex that we cannot reproduce the variations with the numerical models. Furthermore, significant variations of the thermospheric mass density are occurred during/after geomagnetically disturbed periods. We should understand these variations of the thermospheric mass density for the safety and efficient operation of the artificial satellites, in particular, the Low Earth Orbit (LEO) satellites. It is well-known that sudden changes in the thermospheric mass density sometimes affect the satellite attitude through enhancements of the atmospheric drag force. Recently (February in 2022), many information media reported that SpaceX would lose up to 40 of 49 newly launched Starlink satellites as the result of a geomagnetic storm which was caused by the solar coronal mass ejection. These solar outbursts would increase the atmospheric drag by at least 50 percent higher than during previous launches. This case as a space weather event suggests the importance of understanding the thermospheric mass density at altitude of about 210 km, a preliminary "low-deployment" orbit. In this presentation, we will review the previous studies abut the thermospheric mass density at altitudes between 150-250 km. The modeling activities will be also shown. We introduce our research project to develop a method for modeling the thermospheric mass density variations using low-altitude satellite data and GCM simulations.