Articles | Volume 28, issue 1
https://doi.org/10.5194/npg-28-121-2021
https://doi.org/10.5194/npg-28-121-2021
Research article
 | 
15 Feb 2021
Research article |  | 15 Feb 2021

Application of Lévy processes in modelling (geodetic) time series with mixed spectra

Jean-Philippe Montillet, Xiaoxing He, Kegen Yu, and Changliang Xiong

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Katja Gänger on behalf of the Authors (29 Oct 2020)  Author's response
ED: Referee Nomination & Report Request started (01 Nov 2020) by Stéphane Vannitsem
RR by Anonymous Referee #2 (13 Dec 2020)
ED: Publish subject to minor revisions (review by editor) (13 Dec 2020) by Stéphane Vannitsem
AR by Jean-Philippe Montillet on behalf of the Authors (17 Dec 2020)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (23 Dec 2020) by Stéphane Vannitsem
Download
Short summary
Recently, various models have been developed, including the fractional Brownian motion (fBm), to analyse the stochastic properties of geodetic time series, together with the estimated geophysical signals. The noise spectrum of these time series is generally modelled as a mixed spectrum, with a sum of white and coloured noise. Here, we are interested in modelling the residual time series after deterministically subtracting geophysical signals from the observations with the Lévy processes.