Articles | Volume 13, issue 2
Research article
05 Feb 2020
Research article |  | 05 Feb 2020

Determination of time-varying periodicities in unequally spaced time series of OH* temperatures using a moving Lomb–Scargle periodogram and a fast calculation of the false alarm probabilities

Christoph Kalicinsky, Robert Reisch, Peter Knieling, and Ralf Koppmann


Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Christoph Kalicinsky on behalf of the Authors (18 Dec 2019)  Author's response    Manuscript
ED: Publish as is (06 Jan 2020) by Lars Hoffmann
Short summary
This study presents an approach to analyse unequally spaced time series of OH* temperatures with respect to time-varying periodic fluctuations. The approach is based on the classical Lomb–Scargle periodogram and, additionally, the idea of a moving window is used. Furthermore, a fast and easy way to analyse the significance of the results is presented. The general performance of the approach is tested with artificially generated time series and results for real observations are presented.