The The IUGONET Project and Its Contribution to the VarSITI Program Akiyo Yatagai 1, Toshihiko Iyemori 2, Yoshimasa Tanaka 3, *Atsuki Shinbori 4, Shuji.

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Presentation transcript:

the The IUGONET Project and Its Contribution to the VarSITI Program Akiyo Yatagai 1, Toshihiko Iyemori 2, Yoshimasa Tanaka 3, *Atsuki Shinbori 4, Shuji Abe 5, Satoru Ueno 6, Yuka Sato 3, Manabu Yagi 7, Yukinobu Koyama 2, and Umemura Norio 1 1 STEL, Nagoya Univ., 2 WDC for Geomagnetism, Kyoto Univ., 3 NIPR, 4 RISH Kyoto Univ., 5 ICSWSE Kyushu Univ., 6 Obs. Kyoto Univ., 7 PPRAC Tohoku Univ. Contact address: IUGONET 5. Summary 1. Introduction 2. Purpose of the IUGONET project Inter-university Upper atmosphere Global Observation NETwork 3. iUgonet Data Analysis Software (UDAS) ST26-D2-PM2-P-034 Fig 1. Various kinds of upper atmospheric phenomena observed in a wide region from both the poles to the equator in each atmospheric layer (from troposphere to ionosphere) The energy source of various kinds of phenomena in the Earth’s atmosphere and geospace originates primarily from solar radiation and solar wind. Energy transported from the Sun changes in form and causes various physical phenomena as it propagates through the space surrounding the Earth’s upper atmosphere. Since the Earth is a globally complex system, it is also essential to investigate the coupling process of each atmospheric region. Understanding the mechanism of short or long- term variations in the upper atmosphere associated with changes in solar activity and global warming requires an interdisciplinary integrated analysis of various long-term observational data from global ground-based observation networks as shown in Fig. 2. Therefore, Fig 2. Ground-based observation network of the IUGONET institutes 1 Obs. Database + Analysis Tool XML Metadata DB Strengthen collaboration among universities Expand this system to satellite and simulation data Finally to other Earth and planetary science fields … Virtual Information Center for upper atmospheric sci. Researchers in other institutes/universities in Japan and overseas Establish a metadata database of upper atmospheric data for cross-search ICSWSE, Kyushu Univ. PPARC, Tohoku Univ. National Institute of Polar Research WDS for Geomag., Kyoto Univ. RISH, Kyoto Univ. Kwasan & Hida Observarories, Kyoto Univ. STE Lab, Nagoya Univ. PROBLEM: Various kind, huge amount of data spread over institutes and universities SOLUTION: Create a metadata database for cross-search of these distributed data Promote new types of upper atmospheric research by analysis of multi-disciplinary data keyword search time range search spatial coverage search type of metadata (1) IUGONET Metadata Database (IUGONET- MDB) The IUGONET-MDB provides the service for cross-reference of various kinds of observational data distributed across the IUGONET institutes. (2) iUgonet Data Analysis Software (UDAS) UDAS enables the users to download, visualize, and analyze the observational data provided by the IUGONET institutes. UDAS is written in IDL (Interactive Data Language), which is widely used in the solar- terrestrial physics community. UDAS is released as a plug-in software of TDAS (THEMIS Data Analysis Software suite), which is a set of IDL libraries for analyzing satellite and ground-based data obtained by the THEMIS mission. UDAS is capable of automatically downloading data files through the internet without caring about location and format of the files. Since data servers and file format are generally different for each data set, we have developed individual load-routines for different data set. Statistical analysis package (cross-correlation test, difference test, trend test, coherence analysis, S (Stockwell) analysis) is also included in UDAS. TDAS web site UDAS web site Install TDAS and UDAS Data can be easily plotted by only three basic commands with the TDAS/UDAS-CUI tool. 1. timespan, ‘yyyy-mm-dd’ (Set a time span) 2. iug_load_xxx (Load xxx data) 3. tplot, ooo (Plot the loaded data) Fig 3. Schematic view of the IUGONET project 4. Application to STP research Fig 4. (a) time-series plots of F10.7 solar index and GPS-TEC over the observation site (35N, 135E) and their amplitude distributions derived from the S-transformation, and (b) amplitude modulations of the F10.7 and GPS-TEC around 27-day period. Fig 5. (a) time-series plots of F10.7 solar index and zonal wind at 90 km over Kauwaii and their amplitude distributions derived from the S- transformation, and (b) amplitude modulations of the F10.7 and zonal wind around 27-day period. F10.7 index 27-period GPS-TEC 27-period F10.7 index 27-period Zonal wind 27-period Cross-correlation analysis result c.c.= 0.77 Lag =9 days Correlation test: significant Cross-correlation analysis result c.c.= 0.22 Lag =910 days Correlation test: not significant 27-period component appears in both the F10.7 solar index and GPS-TEC, and the amplitude tends to be enhanced during high solar activity. 27-period component does not clrealy appear in zonal wind at 90 km in the mesosphere and lower thermosphere, and the amplitude modulation does not also depend on solar activity. The IUGONET has been developing the e-infrastructures and common tools (metadata database and data analysis software (UDAS)) to facilitate the distribution and wide use of the ground-based upper atmospheric data provided by the IUGONET university/institutes. The IUGONET data analysis system can handle many kinds of solar and upper atmosphere data and is one of the promising tools in the solar-terrestrial physics community.  Metadata database :  Data analysis software : (a)(b) (a)(b)