Monitoring and Predicting Near Real Time Ionospheric Activities with Multi-satellite Data. The ionosphere affects the transmission of electromagnetic waves, which can result in disturbance or intermission of radio signals being used for communication, navigation and other microwave systems. This project aims to monitor and predict near real-time ionospheric activities with multi-satellite data. The expected outcomes include: 1) an innovative algorithm to calculate the Total Electron Content from ....Monitoring and Predicting Near Real Time Ionospheric Activities with Multi-satellite Data. The ionosphere affects the transmission of electromagnetic waves, which can result in disturbance or intermission of radio signals being used for communication, navigation and other microwave systems. This project aims to monitor and predict near real-time ionospheric activities with multi-satellite data. The expected outcomes include: 1) an innovative algorithm to calculate the Total Electron Content from multi-satellite data; 2) an automated software package for mapping 3-dimensional ionospheric profile; and 3) an improved understanding of the detailed processes and causes of ionospheric events, that can enhance the space weather services for Australia and the world.Read moreRead less
Real-time atmospheric modelling for centimetre-level positioning based on Global Navigation Satellite System (GNSS) continuously operating reference station networks. Many applications of Global Navigation Satellite System (GNSS) technology, such as surveying, mapping and precise navigation, require real-time positioning accuracies to centimetre levels. To support these applications, many countries are establishing dense networks of continuously operating reference stations, positioned typicall ....Real-time atmospheric modelling for centimetre-level positioning based on Global Navigation Satellite System (GNSS) continuously operating reference station networks. Many applications of Global Navigation Satellite System (GNSS) technology, such as surveying, mapping and precise navigation, require real-time positioning accuracies to centimetre levels. To support these applications, many countries are establishing dense networks of continuously operating reference stations, positioned typically less than 40 km apart. However, for Australia with its large and sparsely populated regions, these dense networks cannot be justified economically. Our project will investigate appropriate enhancement of sparse networks to maintain the same level of accuracy. It will focus on a better understanding of atmospheric conditions, currently a major limitation in the development of sparse networks.Read moreRead less