Articles | Volume 10, issue 9
Atmos. Meas. Tech., 10, 3453–3462, 2017
https://doi.org/10.5194/amt-10-3453-2017
Atmos. Meas. Tech., 10, 3453–3462, 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 et al.

Data sets

COSPAR International Reference Atmosphere (CIRA-86): Global Climatology of Atmospheric Parameters Committee on Space Research http://catalogue.ceda.ac.uk/uuid/4996e5b2f53ce0b1f2072adadaeda262

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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.