FRONTIER DEVELOPMENT LAB 2018: SPACE WEATHER Forecasting Global Navigation Satellite System (GNSS) Signal Disruptions Kibrom Ebuy Abraha, Asti Bhatt, Red Boumghar, Laura Hayes, Sylvester Kaczmarek, Daniel Kumar, Ryan McGranaghan, Karthik Venkataramani...
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FRONTIER DEVELOPMENT LAB 2018: SPACE WEATHER Forecasting Global Navigation Satellite System (GNSS) Signal Disruptions Kibrom Ebuy Abraha, Asti Bhatt, Red Boumghar, Laura Hayes, Sylvester Kaczmarek, Daniel Kumar, Ryan McGranaghan, Karthik Venkataramani PROBLEM SOLUTION Space Weather Effects of Space Weather A Data Driven Machine Learning Approach - Dynamic solar activity has adverse effects on Earth's - Aim to develop a machine learning framework for the prediction technological infrastructure. of high latitude GNSS phase scintillation events. - Space weather events cause disturbances in the Earth's - Focus on the CHAIN network of GNSS receivers (Fig. 3) together ionosphere, which can significantly affect GNSS radio with space- and ground- based observations of solar activity, communications between ground and space based geomagnetic variations, and ionospheric conditions. receivers. - These features serve as inputs to link space weather conditions - Interactions between space weather a
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