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

Viewed

Total article views: 3,480 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,146 1,177 157 3,480 200 220
  • HTML: 2,146
  • PDF: 1,177
  • XML: 157
  • Total: 3,480
  • BibTeX: 200
  • EndNote: 220
Views and downloads (calculated since 08 Feb 2017)
Cumulative views and downloads (calculated since 08 Feb 2017)

Viewed (geographical distribution)

Total article views: 3,480 (including HTML, PDF, and XML) Thereof 3,419 with geography defined and 61 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 29 Apr 2026
Download
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.
Share