What is it about?
The wind prediction is a key factor for improving the estimated time of arrival (ETA) accuracy at a specific waypoint. Several methods are suggested to improve the wind prediction accuracy. First, only numerical weather forecasts are interpolated using simple linear interpolation and then using Gaussian Process Regression. Next, previous wind information obtained via SSR Mode-S data are included by extrapolating the error between numerical weather forecasts and actual measurements.
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This page is a summary of: ETA and Wind Prediction Accuracy Improvement Using Numerical Weather Forecast and Aircraft Surveillance Data, July 2021, American Institute of Aeronautics and Astronautics (AIAA),
DOI: 10.2514/6.2021-2358.
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