Articles | Volume 13, issue 2
Atmos. Meas. Tech., 13, 467–477, 2020
https://doi.org/10.5194/amt-13-467-2020
Atmos. Meas. Tech., 13, 467–477, 2020
https://doi.org/10.5194/amt-13-467-2020

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 et al.

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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
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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.