日本地球惑星科学連合2023年大会

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[J] 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-EM16] 太陽圏・惑星間空間

2023年5月22日(月) 15:30 〜 16:45 101 (幕張メッセ国際会議場)

コンビーナ:岩井 一正(名古屋大学 宇宙地球環境研究所)、成行 泰裕(富山大学学術研究部教育学系)、西野 真木(宇宙航空研究開発機構宇宙科学研究所)、坪内 健(電気通信大学)、座長:岩井 一正(名古屋大学 宇宙地球環境研究所)、成行 泰裕(富山大学学術研究部教育学系)、西野 真木(東京大学大学院理学系研究科地球惑星科学専攻)、小財 正義(情報・システム研究機構 データサイエンス共同利用基盤施設 極域環境データサイエンスセンター)

16:15 〜 16:30

[PEM16-04] 惑星間空間シンチレーション観測を用いたDCHB太陽風速度モデルの最適化

*渡部 温1徳丸 宗利1岩井 一正1藤木 謙一1 (1.名古屋大学宇宙地球環境研究所)


キーワード:太陽風、惑星間空間シンチレーション、宇宙天気

The sources of the solar wind and its acceleration mechanism are not yet fully understood. Several models have been proposed to empirically link the topology of the solar coronal magnetic field to the solar wind velocity. The WS (Wang-Sheeley) model is based on the empirical relation between the solar wind speeds and the expansion rate of the coronal magnetic field. According to the WS model, the solar winds with lower speeds flow out from regions of the coronal magnetic field where the magnetic field expansion rate is larger. The WSA (Wang-Sheeley-Arge) model, which is an evolution of the WS model, has been employed for space weather forecast at NOAA. However, previous studies have shown that the empirical relation between the solar wind speed and the expansion rate doesn't fit in regions with pseudo-streamers, and thus the WSA model gives incorrect predictions there. The DCHB (Distance from Coronal Hole Boundary) model is another model to reproduce the solar wind speed from the coronal magnetic field properties. This model assumes that the solar wind speed is smaller as the source is closer to the boundary of the coronal hole. This model fits in pseudo-streamers; therefore, it is thought to provide a more accurate prediction of solar wind speed than that of the WSA model.

In this study, the parameters of the DHCB model were optimized for the data of solar wind velocity from IPS observations and examined how well the DCHB model reproduces the solar wind velocity. We calculated PCC (Pearson Correlation Coefficient) between the solar wind speed reproduced by DCHB model and that of derived by the IPS observation, and we determined the parameters which maximize the PCC as the optimal parameters. Unlike in-situ observations, IPS observations enable to determine the global distribution of the solar wind speed. Therefore, the DCHB model could be validated more effectively by using IPS observations. In this analysis, we also used the PFSS (Potential Field Source Surface) model to estimate the structure of the coronal magnetic field and magnetograms from ADAPT (Air Force Data Assimilative Photospheric Flux Transport) as its lower boundary condition. In consequence, during the solar minimum, the PCC was as high as 0.81. This high correlation is mostly attributed to the excellent reproduction of the bi-modal structure of the solar wind at solar minimum by the DCHB model: it is known that the high- and low-speed winds dominate at high and low latitudes, respectively, at solar minimum. It is also known that, at solar maximum, the high-speed wind almost disappears, and the low-speed wind dominates all latitudes. We found that the DCHB model reproduces the distribution of the low-speed solar wind originating from smaller coronal holes at low latitudes, even during such a maximum period.