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.

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Cited articles

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Kramer, R., Wüst, S., and Bittner, M.: Climatology of convectively generated gravity waves at Prague based on operational radiosonde data from 13 years (1997–2009), J. Atmos. Sol.-Terr. Phy., 140, 23–33, https://doi.org/10.1016/j.jastp.2016.01.014, 2016.
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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.