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Smoothing and Interpolating Noisy GPS Data with Smoothing Splines

Research output: Contribution to journalJournal article

<mark>Journal publication date</mark>31/03/2020
<mark>Journal</mark>Journal of Atmospheric and Oceanic Technology
Issue number3
Number of pages17
Pages (from-to)449-465
Publication statusPublished
Early online date16/03/20
Original languageEnglish


A comprehensive method is provided for smoothing noisy, irregularly sampled data with non-Gaussian noise using smoothing splines. We demonstrate how the spline order and tension parameter can be chosen a priori from physical reasoning. We also show how to allow for non-Gaussian noise and outliers that are typical in global positioning system (GPS) signals. We demonstrate the effectiveness of our methods on GPS trajectory data obtained from oceanographic floating instruments known as drifters.

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