[P-EM12] 太陽地球系結合過程の研究基盤形成

[PEM12-09] 太陽地球系結合研究推進のためのIUGONETデータ解析システム

*新堀 淳樹¹、田中 良昌²、阿部 修司⁵、上野 悟³、今城 峻⁴、能勢 正仁¹ (1.名古屋大学宇宙地球環境研究所、2.国立極地研究所、3.京都大学天文台、4.京都大学大学院理学研究科附属地磁気世界資料解析センター、5. 九州大学 国際宇宙天気科学・教育センター)

キーワード：IUGONET、データベース、SPEDAS、総合解析、国際連携、教育支援

The Inter-university Upper atmosphere Global Observation NETwork (IUGONET) project [Hayashi et al., 2013], consisting of five institutes (Tohoku University, National Institute of Polar Research, Nagoya University, Kyoto University, and Kyushu University), started in 2009 so that users can effectively find and analyze solar and earth’s atmospheric observational data for promotion of studies of coupling processes of solar-terrestrial system. In this project, we have collected information of wide range of ground-based observation data in the solar-terrestrial physics and built a practical metadata database (IUGONET Type-A) to share them on the Internet. We have also developed several integrated data analysis tools (IUGONET Data Analysis Software: UDAS and UDAS egg: UDAS Easy Guide to Generate your load routines) as one of the functions of Space Physics Environment Data Analysis System (SPEDAS) [Angelopoulos et al., 2019] to analyze and visualize various kinds of ground-based and satellite observation data. In the IUGONET Type-A, users can easily learn characteristics of observation data from quick look images/plots and how to use several basic UDAS commands to visualize the data. The IUGONET Type-A also enables users to convert common data format (CDF) into ASCII files on this website so that users can read and analysis the observational data with their own tools. Metadata have been created in Space Physics Archive Search and Extract (SPASE) metadata schema version 2.2.6, but we recently updated them to follow SPASE 2.4.0, in which a Digital Object Identifier (DOI) and a persistent digital identifier (ORCID iD) can be described. Further, we also started discussion about SPASE simulation extensions that is developed by the Integrated Medium for Planetary Exploration (IMPEx) project, a European Union (EU) Seventh Framework Programme sponsored project. This is because we intend to include several simulation data into IUGONET, for example, GAIA (Ground-to-topside model of Atmosphere and Ionosphere for Aeronomy) simulation data. On the other hand, because the SPEDAS 5.0 will be released in the near future, we developed the UDAS s5.0.1 including several new load procedures for the GAIA model data, Iitate Planetary Ratio Telescope (IPRT) high-resolution data, and 400 Hz induction magnetometer data at Syowa Station. In addition, new function for loading user's own NetCDF files was added to the GUI. Further, we continue to develop a MATLAB software to deal with several IUGONET data so as to enhance an international use of the IUGONET data in foreign countries, where the MATLAB is widely used as a major data analysis tool. In order to promote interdisciplinary studies of coupling processes on the sun-earth system using the IUGONET data analysis system, we have held several online tutorial seminars of how to use the IUGONET products and opened several movies and textbooks of previous workshops on the IUGONET website so that users can learn how to deal with the IUGONET data anytime and anywhere. As a result, such our comprehensive activities led to an agreement of the IUGONET project from many institutes and enhanced an international recognition and collaboration. Further, scientific discussion with the IUGONET users has been promoted in many countries, and many scientific papers [e.g., Pramitha et al., 2021] and Master/Doctor theses have been continuously published. Moreover, such the IUGONET activities having three objectives: development of integrated infrastructure, education support, and international collaborations have been recognized as a good project to certainly create new scientific results also in administrative meetings of Japanese government. Therefore, it can be concluded that the IUGONET activity plays an important role in promoting the equatorial and polar atmospheric observations, international collaboration and integrated data analysis, which are three main subjects of Master Plan 2020.