日本地球惑星科学連合2019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-EM15] 太陽地球系結合過程の研究基盤形成

2019年5月30日(木) 17:15 〜 18:30 ポスター会場 (幕張メッセ国際展示場 8ホール)

コンビーナ:山本 衛(京都大学生存圏研究所)、小川 泰信(国立極地研究所)、野澤 悟徳(名古屋大学宇宙地球環境研究所)、吉川 顕正(九州大学大学院理学研究院地球惑星科学部門)

[PEM15-P05] Lidar data analysis of the sodium atoms in the thermosphere observed at Tromsoe, Norway

*川原 琢也1野澤 悟徳2斎藤 徳人3津田 卓雄4高橋 透5川端 哲也2西村 美紀1小林 允隆1 (1.信州大学 学術研究院工学系、2.名古屋大学 宇宙地球環境研究所、3.理化学研究所 光量子工学研究センター、4.電気通信大学、5.国立極地研究所)

キーワード:ナトリウムライダー、熱圏、トロムソ

Distribution of low-density Na atoms in the thermosphere is interesting because of the capability of measuring neutral temperature and wind into the lower thermosphere up to 140 km. The thermospheric Na atoms significantly made the altitude range of Na lidar measurements expanded from the 80–105 km to 80–140 km, covering almost the entire E region (Liu et al., GRL, 2016).

The measurements of wind and temperature by a Na lidar in the northern mesosphere (80-105 km) at Tromsoe, Norway (69.6°N, 19.2°E) have been carried out in Polar winter season since 2010. However, thermospheric Na has not been seen in our data so far. This is because the automatic analysis program calculates the background signal level using the 140-150 km signals which possibly include a small amount of thermospheric Na signal. Deriving thermospheric Na is done by lowering the background signal level to emphasize thermospheric Na signals. The data at the new moon are selected which have a low background signal. Also, we calculated signal intensity from the Na atoms in the thermosphere based on our lidar parameters such as laser power, a telescope aperture area etc. by using the lidar equation. The results are summarized as follows. (1) Assuming that the Na density is 10 /cm^3, the signal from the Na atoms between 120 and 140 km is expected 300-400 photons, (2) The background signal observed is about 4,400 counts which means the noise level is about 220. So the signal intensity from the Na is nearly comparable to the noise level. (3) Thermospheric Na was not clearly seen in the re-calculated data. However, it depends on the smoothing technique to the original lidar data.

In this talk, we show the results derived by varying the binning time and discuss it.