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  • Undergraduate Poster Abstracts
  • THU-721 SPACE WEATHER MEASUREMENTS USING GLOBAL NAVIGATION SATELLITE SYSTEMS (GNSS)

    • Karielys Ortiz-Rosario ;
    • Wayne Scales ;
    • Marc Jean ;

    THU-721

    SPACE WEATHER MEASUREMENTS USING GLOBAL NAVIGATION SATELLITE SYSTEMS (GNSS)

    Karielys Ortiz-Rosario2, Wayne Scales1, Marc Jean1.

    1Virginia Polytechnic Institute and State University, Blacksburg, VA, 2Escuela de Ingeneria Jose Domingo Perez, Universidad del Turabo, Gurabo, PR.

    Global navigation satellite systems (GNSS) are now commonly used for geographic positioning, timing data, economic applications (such as international banking), space weather studies, and atmospheric science analysis. GNSS currently consists of 4 constellations: the U.S.'s Global Positioning System (GPS), the Russian Federation's Global Orbiting Navigation Satellite System (GLONASS), the European Union's Galileo, and China's BeiDou Navigation Satellite System (BDS). GNSS signaling can be adversely affected by the concentration of plasma (the collection of free moving electrons and ions) in the Earth’s ionosphere. Therefore, the measurement of the total electron content (TEC) in the ionosphere is particularly essential in order to reduce the data error and generate more accurate results. The objective of this project is to use pseudorange data, the measured distance between the GNSS satellites and their receivers, from all 4 GNSS constellations to study space weather and its impact on navigation systems using TEC calculations. Therefore, live data was collected from NovAtel, Ashtech, and ASTRA GNSS receivers, as well as the NASA Crustal Dynamic Data Information System (CDDIS) website. Subsequently, a MATLAB script was generated to use RINEX3 navigation and observation files to acquire pseudorange data and perform TEC calculations. This work presents the data analysis and shows that the TEC peaked at dusk and dawn. Statistics on the data analysis are used to explain the inaccuracy within the GNSS signaling due to the TEC concentration.