Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 13, issue 2
Articles | Volume 13, issue 2
https://doi.org/10.5194/amt-13-467-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-13-467-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
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

Viewed

Total article views: 1,709 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
982 688 39 1,709 46 48
  • HTML: 982
  • PDF: 688
  • XML: 39
  • Total: 1,709
  • BibTeX: 46
  • EndNote: 48
Views and downloads (calculated since 30 Sep 2019)
Cumulative views and downloads (calculated since 30 Sep 2019)

Viewed (geographical distribution)

Total article views: 1,709 (including HTML, PDF, and XML) Thereof 1,576 with geography defined and 133 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 18 Apr 2024
Download
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.
Read more