日本地球惑星科学連合2024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-EM12] Coupling Processes in the Atmosphere-Ionosphere System

2024年5月30日(木) 17:15 〜 18:45 ポスター会場 (幕張メッセ国際展示場 6ホール)

コンビーナ:細川 敬祐(電気通信大学大学院情報理工学研究科)、Liu Huixin(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)、Chang Loren(Institute of Space Science, National Central University)

17:15 〜 18:45

[PEM12-P03] Investigation on sodium D1 and D2 lines in the mesospheric nightglow
based on spectroscopic observations at Tromsø, Norway

*坂元 希優1津田 卓雄1西山 尚典2南條 壮汰1細川 敬祐1野澤 悟徳3、川端 哲也3水野 亮3 (1.電気通信大学、2.国立極地研究所、3.名古屋大学)

キーワード:Na 夜間大気光、スペクトログラフ、トロムソ

The emission layer of Na nightglow is normally located at an altitude of approximately 90 km, offering valuable insights into the atmosphere near the mesopause region. The emission mechanism of Na nightglow is well known as the Chapman mechanism. During this process, Na splits into two excited states with different energy levels, leading to the double lines in the emission spectrum: the D1 line, 589.6 nm (in air), and the D2 line, 589.0 nm (in air). While the ratio branching to the two excited states is theoretically considered to be constant, some recent works reported that the intensity ratio of the D1 and D2 lines (RD) was variable (not constant) from their observations. As an interpretation for the variable RD, a modification in the Chapman mechanism has been proposed, in which RD can vary with the balance between reactions with O and quenching with O2. To verify the interpretation, we need more detailed investigations based on more observations.

In this study, we conducted experimental observations of RD using a compact spectrograph at Tromsø, Norway (69.6N, 19.2 E), during approximately five months from October 2017 to March 2018. To enhance the resolution of our spectrograph, we replaced the diffraction grating with one that has four times higher resolution. Although this made it possible to separate the Na D1 and D2 lines more effectively, the separation was not perfect. To separate D1 and D2 lines, we performed a double-gaussian fitting in the data analysis, and subsequently obtained RD. Additionally, we analyzed all-sky images obtained during observations to examine the weather conditions and the surrounding environment affecting the observations. Such conditions over Tromsø were determined through both manual inspection and deep learning methods. We made data selections based on the determined conditions. After that, 168-hour RD data during the five months were obtained by the data analysis including the double-gaussian fitting. In the presentation, we will show the observed RD variations and discuss their relationships with O and O2 effects.