Spatial Model of Ionospheric Vertical Total Electron Content for Low-Latitude Indonesia Region Based on Multiple Regression Analysis Asnawi Husin, Rizal Suryana, Ayu Nur Safii, Varuliantor Dear, Sri Ekawati, Angga Y Putra, Nia Safitri and Buldan Muslim
National Research and Innovation Agency - BRIN
Abstract
The interaction of trans-ionospheric radio waves of Global Navigation Satellite Systems (GNSS) signals with the plasma ionosphere lead to propagation delay that has impact on accuracy degradation of position measurements. The ionospheric propagation delay has proportional to the integrated electron density (Total Electron Content - TEC) along the ray path. In order to monitor and understand the physics that control the dynamics of the ionospheric TEC and regarding to ionosphere delay, number of global and regional ionospheric model and data mapping has been developed. This paper, attempt to mapping the regional ionospheric TEC over Indonesia sector (90oE-140oE and 12o N 15o S) by using an analysis of multiple regression. The main method is multiple regression of TEC based on ionospheric pierce point (IPP) is developed on the basis of polynomial low order scheme driven by GNNS data from the Indonesian Continuously Operating Reference Station (INACORS) network provided by the Indonesian Geospatial Information Agency (Badan Informasi Geospasial - BIG). The accuracy and quality of the TEC mapping technique have been validated through cross comparison with individual GNSS station observations, the International Reference Ionosphere (IRI2016) model and global ionosphere maps from IGS-GIM. The verification results in general that TEC model by multiple polynomial regression indicated comparable with TEC by kriging method and GIM IGS.