Abstract
Prediction of GPS site-satellite pair outages due to scintillation is important for high confidence GPS operations. This paper shows how we have improved the prediction confidences for Global Positioning System (GPS) scintillation worldwide. We do this by combining abnormal GPS Signal to Noise Ratio (SNR) detections for many hundreds of GPS satellite and receiver site pairs plus using space weather data as context. Adding this global data context assessment to the traditional S4 smoothed high SNR variance detections will be shown to reduce the number of significant GPS SNR event tracks and provide more confident cause characterizations.
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