000005549 001__ 5549 000005549 005__ 20220106154651.0 000005549 0247_ $$2DOI$$a10.1029/2021JB022370 000005549 037__ $$aSCART-2022-0013 000005549 100__ $$aGobron, K. 000005549 245__ $$aInfluence of aperiodic non-tidal atmospheric and oceanic loading deformations on the stochastic properties of global GNSS vertical land motion time series 000005549 260__ $$c2021 000005549 520__ $$aMonitoring vertical land motions (VLMs) at the level of 0.1 mm/yr remains one of the most challenging scientific applications of global navigation satellite systems (GNSS). Such small rates of change can result from climatic and tectonic phenomena, and their detection is important to many solid Earth-related studies, including the prediction of coastal sea-level change and the understanding of intraplate deformation. Reaching a level of precision allowing to detect such small signals requires a thorough understanding of the stochastic variability in GNSS VLM time series. This paper investigates how the aperiodic part of non-tidal atmospheric and oceanic loading (NTAOL) deformations influences the stochastic properties of VLM time series. Using the time series of over 10,000 stations, we describe the impact of correcting for NTAOL deformation on 5 complementary metrics, namely: the repeatability of position residuals, the power-spectrum of position residuals, the estimated time-correlation properties, the corresponding velocity uncertainties, and the spatial correlation of the residuals. We show that NTAOL deformations cause a latitude-dependent bias in white noise plus power-law model parameter estimates. This bias is significantly mitigated when correcting for NTAOL deformation, which reduces velocity uncertainties at high latitudes by 70%. Therefore, removing NTAOL deformation before the statistical analysis of VLM time series might help to detect subtle VLM signals in these areas. Our spatial correlation analysis also reveals a seasonality in the spatial correlation of the residuals, which is reduced after removing NTAOL deformation, confirming that NTAOL is a clear source of common-mode errors in GNSS VLM time series 000005549 536__ $$a2_BRAIN_LASUGEO/$$c2_BRAIN_LASUGEO/$$f2_BRAIN_LASUGEO 000005549 594__ $$aNO 000005549 6531_ $$aGNSS 000005549 6531_ $$aVertical land motions 000005549 6531_ $$aNon-tidal loading 000005549 6531_ $$aStochastic variability 000005549 6531_ $$aPower-law noise 000005549 700__ $$aRebishung, P. 000005549 700__ $$aVan Camp, M. 000005549 700__ $$aDemoulin, A. 000005549 700__ $$ade Viron, O. 000005549 773__ $$pJ. Geophys. Res.: Solid Earth$$v126$$y2021 000005549 8560_ $$fmichel.vancamp@observatoire.be 000005549 85642 $$ahttps://doi.org/10.1029/2021JB022370 000005549 905__ $$apublished in 000005549 980__ $$aREFERD