JpGU-AGU Joint Meeting 2020

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] 大気圏ー電離圏結合

コンビーナ:Huixin Liu(九州大学理学研究院地球惑星科学専攻 九州大学宙空環境研究センター)、大塚 雄一(名古屋大学宇宙地球環境研究所)、Yue Deng(University of Texas at Arlington)、Loren Chang(Institute of Space Science, National Central University)

[PEM12-32] IDEASSat: A 3U CubeSat Mission for Ionospheric Science and Expanded in-Situ Observations

*Loren Chang1Chi-Kuang Chao1Yi Duann1Yi-Chung Chiu1Rong Tsai-Lin1Tzu-Ya Tai1Wei-Hao Luo1Chi-Ting Liao1Hsin-Tzu Liu1Amal Chandran2Cheng-Ling Kuo1Jann-Yenq Liu1 (1.Department of Space Science and Engineering, National Central University、2.Satellite Research Centre, Nanyang Technological University, Singapore)

キーワード:Ionosphere, Scintillation, CubeSat

The Ionospheric Dynamics Exploration and Attitude Subsystem Satellite (IDEASSat / INSPIRESat-2) is a three-unit (U) CubeSat developed with the objective of providing in-situ measurements of the Earth's ionosphere in order to quantify both global scale ionospheric variability and small scale irregularities. The science payload is the Compact Ionospheric Probe (CIP) - an all in one in-situ plasma sensor developed at Taiwan National Central University (NCU), which is the miniaturized version of the larger Advanced Ionospheric Probe (AIP) that is carried and operational aboard the 450 kg FORMOSAT-5 spacecraft. The spacecraft has been developed by NCU in partnership with the International Satellite Program in Research and Education (INSPIRE) consortium, and is funded by the Taiwan National Space Organization (NSPO), Ministry of Science and Technology, and Ministry of Education as part of the first national effort to encourage small satellite development at Taiwan universities. IDEASSat will work in conjunction with FORMOSAT-5, as well as the INSPIRESat-1 and ARCADE/INSPIRESat-4 small satellites to provide ionospheric observations spanning different altitudes and local times. IDEASSat will be launched in late 2020. In this report, we describe the IDEASSat mission and spacecraft design, the potential for combined multi-satellite observations, as well as unique lessons learned as part of the development process.