Influence of Aperiodic Non‐Tidal Atmospheric and Oceanic Loading Deformations on the Stochastic Properties of Global GNSS Vertical Land Motion Time Series

Gobron, Kévin; Rebischung, Paul; Camp, Michel Van; Demoulin, Alain; Viron, O. de

doi:10.1029/2021jb022370

Cited by 29 publications

(13 citation statements)

References 80 publications

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“…Then, these oscillations diminish, and the correlation coefficients oscillate around zero. A similar situation was noticed for the position time series by Gobron et al (2021).…”

Section: Discussionsupporting

confidence: 80%

“…The correlation coefficients for distances above 1,500 km have no significant features and oscillate around zero. A similar spatial correlation seasonality in GNSS vertical position time estimates was presented in Gobron et al (2021). They showed that spatial correlation is reduced when non-tidal loading corrections are applied, suggesting that the main contributor to the annual signal present in the correlation coefficient is the intrinsic property of atmospheric variability.…”

Section: Spatial Correlation Of Ztd Residualssupporting

confidence: 64%

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Investigating temporal and spatial patterns in the stochastic component of ZTD time series over Europe

et al. 2022

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The EUREF Permanent GNSS Network (EPN) provides a unique atmospheric dataset over Europe in the form of Zenith Total Delay (ZTD) time series. These ZTD time series are estimated independently by different analysis centers, but a combined solution is also provided. Previous studies showed that changes in the processing strategy do not affect trends and seasonal amplitudes. However, its effect on the temporal and spatial variations of the stochastic component of ZTD time series has not yet been investigated. This study analyses the temporal and spatial correlations of the ZTD residuals obtained from four different datasets: one solution provided by ASI (Agenzia Spaziale Italiana Centro di Geodesia Spaziale, Italy), two solutions provided by GOP (Geodetic Observatory Pecny, Czech Republic), and one combined solution resulting from the EPN’s second reprocessing campaign. We find that the ZTD residuals obtained from the three individual solutions can be modeled using a first-order autoregressive stochastic process, which is less significant and must be completed by an additional white noise process in the combined solution. Although the combination procedure changes the temporal correlation in the ZTD residuals, it neither affects its spatial correlation structure nor its time-variability, for which an annual modulation is observed for stations up to 1,000 km apart. The main spatial patterns in the ZTD residuals also remain identical. Finally, we compare two GOP solutions, one of which only differs in the modeling of non-tidal atmospheric loading at the observation level, and conclude that its modeling has a negligible effect on ZTD values.

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“…Then, these oscillations diminish, and the correlation coefficients oscillate around zero. A similar situation was noticed for the position time series by Gobron et al (2021).…”

Section: Discussionsupporting

confidence: 80%

Section: Spatial Correlation Of Ztd Residualssupporting

confidence: 64%

Investigating temporal and spatial patterns in the stochastic component of ZTD time series over Europe

et al. 2022

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“…A lower density implies longer and scarcer baselines, inherently less precise because phaseambiguity resolution becomes more difficult as baseline length increases. Recent study also showed that non-tidal atmospheric and oceanic loading deformations affect the stochastic properties of vertical motions in a latitude-depend way, which could explain part of the larger daily scatter observed at the extremes latitude of our network (Gobron et al, 2021). In any case, this analysis of daily scatter suggests that we can actually extract sub-millimetric short-term signals from horizontal time-series, like for instance tiny co-seismic offsets.…”

Section: Quality Of the Solutionmentioning

confidence: 51%

A 20 year-long GNSS solution across South-America with focus in Chile

Klein¹,

Vigny²,

Nocquet³

et al. 2022

BSGF - Earth Sci. Bull.

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Over the last 3 decades, GPS measurements have been instrumental in quantifying tectonic plates current motion and deformation. Complex patterns of deformation along the plate boundaries revealed heterogeneous coupling on the plates interface and imaged seismic segments at different stages of their seismic cycle. Along the South-American trench in Chile, where large earthquakes occur frequently, continuous GPS observations (cGPS) captured both the long-term plate motion and the transient deformations associated to the seismic cycle. Over the years, a network of hundreds of cGPS stations has been deployed all across the South-American continent by many different institutions for \m{many ?}all sorts of purposes ranging from geographic reference to Tsunami early warning. We report here on the processing of 20 years (2000-2020) worth of data over a selection of cGPS stations, devoted to the quantification and analysis of the deformation along the Chilean subduction zone between 18°S and 40°S. We use all available data near the trench in Chile and a less dense network inside the continent where the gradient of deformation is lesser. Our database, named SOAM_GNSS_solENS, provides time series of precise daily station position, obtained from double difference (DD) processing and expressed in the International Terrestrial Reference Frame 2014 (ITRF14). These time series allow to quantify, with \m{sub-?}sub-millimetric precision, any kind of ongoing deformation process, either from tectonic origin such as interseismic deformation, co- and post-seismic displacements associated with earthquakes, transient deformation associated to seismic swarms and/or a-seismic slow-slip events, or of other origin such as hydrological loading (for ex, the Amazonian basin load) or any other type of loading affecting the surface of the earth (tides, atmosphere, etc...). We also provide a database of coseismic displacements associated with close to 60 earthquakes of Mw larger than 6.5 that occurred over the last 20 years within the observation area. All time series are directly accessible through a deposit and we also plan make them available through a web interface that will allow any user to perform elementary operations like estimating offsets, detecting outliers, detrending, filtering and stacking. That database will evolve with time, aggregating more data. In the future, we also plan to complement that database with a rapid solution in quasi real time processed in Precise Point Positioning (PPP), and with hourly atmospheric delays associated to water vapor contains of the lower layer of the atmosphere.

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“…Previous related research mainly focused on horizontal crustal deformation restricted by GPS horizontal velocity, however, there are still relatively few results on the vertical tectonic deformation in the Tianshan and Pamir areas, because more complex geophysical effects are involved the vertical land motion (VLM) (Cheng et al., 2020; Gobron et al., 2021; Riddell et al., 2020). In addition, Tianshan and Pamir are covered by a large amount of snow and glaciers (Chen et al., 2019; Farinotti et al., 2015), which are the significant geophysical contribution to the continuous GPS observations.…”

Section: Introductionmentioning

confidence: 99%

Intradecadal Fluctuations and Three‐Dimensional Crustal Kinematic Deformation of the Tianshan and Pamir Derived From Multi‐Geodetic Imaging

et al. 2022

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The uplift of the Tianshan and Pamir Mountains/Areas are caused by active intracontinental tectonic movements. The dynamic mechanism is controversial and has aroused great interest among scholars. In this study, we investigate the present three‐dimensional (3‐D) crustal deformation in the Tianshan and Pamir areas from multi‐geodetic observations from 2002 to 2021. The continuous water deficit throughout Tianshan and Pamir locates mainly in glacier‐covered areas, at a total rate of −0.8 cm w.e./yr, inducing spatial surface uplifting at rates of ∼0.2–0.5 mm/yr. These Global Positioning System (GPS)‐derived velocities in the vertical deformation of the Tianshan and Pamir were corrected based on surface elastic loading models and the Gravity Recovery and Climate Experiment Follow‐On (GRACE/GFO)‐inferred hydrological loading deformation, and interpolated using the GPS imaging method for a higher 3‐D crustal deformation spatial resolution. In conclusion, surface hydrology is one of the driven factors affecting the regional vertical velocity field observed by GPS. The kinematic crustal shortening and vertical tectonic uplift are integrated within different blocks, which illustrate the contemporary dynamics throughout the Tianshan and Pamir. The relevant spatial characteristics between the 3‐D crustal deformation and dynamic tomography along the Tianshan indicate that the relatively weaker lithosphere beneath the central Tianshan is subject to strong compression, which induces the present‐day crustal uplift.

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Influence of Aperiodic Non‐Tidal Atmospheric and Oceanic Loading Deformations on the Stochastic Properties of Global GNSS Vertical Land Motion Time Series

Cited by 29 publications

References 80 publications

Investigating temporal and spatial patterns in the stochastic component of ZTD time series over Europe

Investigating temporal and spatial patterns in the stochastic component of ZTD time series over Europe

A 20 year-long GNSS solution across South-America with focus in Chile

Intradecadal Fluctuations and Three‐Dimensional Crustal Kinematic Deformation of the Tianshan and Pamir Derived From Multi‐Geodetic Imaging

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