*Atsuki Shinbori1, Yoshimasa Tanaka2, Shuji Abe3, Satoru UeNo4, Shun Imajo5, Masahito Nose6
(1.Institute for Space-Earth Environment Research (ISEE), Nagoya University, 2.National Institute of Polar Research, 3.International Research Center for Space and Planetary Environmental Science. Kyushu University, 4.Astronomical Observatory, Graduate of Science, Kyoto University , 5.World Data Center for Geomagnetism, Kyoto University, 6.Nagoya City University)
Keywords:IUGONET, Solar-terrestrial physics, Metadata database, Analysis software, Interdisciplinary studies, Simulation/model data
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 solar-terrestrial physics. In this project, we collected information of a 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 extensions 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. To deal with several simulation data, for example, GAIA (Ground-to-topside model of Atmosphere and Ionosphere for Aeronomy) simulation data, we have developed the Space Physics Archive Search and Extract (SPASE) metadata model with the member of SPASE consortium. As a result, the SPASE metadata model in version 2.6.1 was released last year, we updated our IUGONET metadata registered to IUGONET Type-A. On the other hand, because the SPEDAS 6.1 was released in May 2024 we will release the UDAS s6.1.1 including several updated load procedures. 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. Further, we started to develop the python-based load procedures working on pySPEDAS from 2022. To promote interdisciplinary studies of coupling processes on the sun-earth system using the IUGONET data analysis system, we have held several online/onsite 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., Jadhav et al., 2023] 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. 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 Future Academic Advancement Initiative 2023.