DEVELOPMENT OF AN AUTOMATIC SYSTEM PROTOTYPE FOR MAPPING IONOSPHERIC DYNAMICS IN INDONESIA USING INA-CORS GNSS NETWORK

• Main Author: Azhar Deaudin K, Fadillah
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/73614
• Institution: Institut Teknologi Bandung

<p align="justify">Monitoring ionospheric is currently an application and a separate study in GNSS (Global Navigation Satellite System). IGS (The International GNSS Service) has now provided a global ionospheric map, namely the Global Ionospheric Maps (GIM), by utilizing GNSS network that are spread evenly around the world automatically every day. However, along with the need for ionospheric maps that have a higher resolution comes an ionospheric product called LIM (Local Ionospheric Maps) by utilizing local GNSS network in an area. Indonesia has an Ina-CORS regional GNSS network maintained by BIG. Until 2022 there will be at least around 320 GNSS receivers spread all over Indonesia. By utilizing this network, it is possible in Indonesia to create an automation system to generate LIM. In this study, an automation system for mapping ionospheric dynamics was built using an algorithm developed by (Wijaya et al. 2023) and implemented with a shell script. The automation system is designed to run every DOY and generate a map of the Indonesian ionosphere which is saved in the IONEX format. Simulation of the automation system was carried out using Ina-CORS data starting from DOY 275 to 281 in 2022. From the simulation results, it was found that the average processing time was 4 hours with an average of 304 stations being processed. The optimal program execution time is 12.00 WIB based on the Ina-CORS server analysis. The resulting IONEX output was compared with GIM from IGS, UPC, and CODE. The results of the samples at 6 points showed that the RMSE to IGS, UPC, and CODE were 2,613, 5,301, and 2,170 TECU, but overall, the comparison results showed that the RMSE of the ionosphere / TEC maps produced by the automation system were 5,850, 10,156, and 5,350 TECU. In addition, the RMSE DCB values generated by the automation system show consistency every day and the RMSE DCB satellites to CODE and IGS are 1.014 and 1.01 ns. Then, the average difference between DCB receivers at BAKO stations against CODE and IGS is -1,326 ns and -1,327 ns.