Articles | Volume 10, issue 9
https://doi.org/10.5194/amt-10-3453-2017
https://doi.org/10.5194/amt-10-3453-2017
Research article
 | 
21 Sep 2017
Research article |  | 21 Sep 2017

Smoothing data series by means of cubic splines: quality of approximation and introduction of a repeating spline approach

Sabine Wüst, Verena Wendt, Ricarda Linz, and Michael Bittner

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Latest update: 23 Jul 2024
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Short summary
Cubic splines with equidistant spline sampling points are a common method in atmospheric science for the approximation of background conditions by means of filtering superimposed fluctuations from a data series. However, splines can generate considerable artificial oscillations in the background and the residuals. We introduce a repeating spline approach which is able to significantly reduce this phenomenon and to apply it to TIMED-SABER vertical temperature profiles from 2010 to 2014.