Crustal displacements due to continental water loading

Dam, Tonie van; Wahr, John; Milly, P. C. D.; Шмакин, А. Б.; Blewitt, G.; Lavallée, D. A.; Larson, Kristine M.

doi:10.1029/2000gl012120

Cited by 365 publications

(246 citation statements)

References 7 publications

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“…Although the causes are not yet completely understood, the most likely explanations are a combination of atmospheric loading (e.g., van Dam et al, 1997), hydrological loading (e.g., van Dam et al, 2001), and thermal expansion of the GPS stations (e.g., Romagnoli et al, 2003). Blewitt and Lavallée (2002) demonstrated that an annual signal within the data deteriorates the accuracy of the estimated linear trend in time-series with an observation time span of a few years, even when this annual signal is taken into account during the estimation process.…”

Section: Introductionmentioning

confidence: 99%

The influence of seasonal signals on the estimation of the tectonic motion in short continuous GPS time-series

Bos

Bastos

Fernandes

2010

Journal of Geodynamics

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Please cite this article as: Bos, M.S., Bastos, L., Fernandes, R.M.S., The influence of seasonal signals on the estimation of the tectonic motion in short continuous GPS time-series, Journal of Geodynamics (2008Geodynamics ( ), doi:10.1016Geodynamics ( /j.jog.2009 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. Page 1 of 19A c c e p t e d M a n u s c r i p t However, Blewitt and Lavallée (2002) showed that including an annual signal in the estimation process still can give a larger linear trend error than the trend error estimated from data from which the annual signal has been removed by other means. They assumed that the GPS data only contained white noise and we extend their result to the case of power-law plus white noise which is known to exist in most GPS observations. For the GPS stations CASC, LAGO, PDEL and TETN the difference in trend error between having or not having an annual signal in the data is around ten times larger when a power-law plus white noise model is used instead of a pure white noise model. A c c e p t e d M a n u s c r i p t Next, our methodology can be used to estimate for any station how much the accuracy of the linear trend will improve when one tries to subtract the annual signal from the GPS time-series by using a physical model.Finally, we demonstrate that for short time-series the trend error is more influenced by the fact that the noise properties also need to be estimated from the data. This causes on average an underestimation of the trend error.

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Section: Introductionmentioning

confidence: 99%

The influence of seasonal signals on the estimation of the tectonic motion in short continuous GPS time-series

Bos

Bastos

Fernandes

2010

Journal of Geodynamics

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“…The crust, supported by the underlying mantle, will respond by deforming elastically on annual timescales. Van Dam et al [2001], for example, used models for water storage to calculate time series of radial deformation at five Global Positioning System (GPS) sites, and found correlation coefficients between monthly averages of (atmosphericand ocean-loading corrected) GPS determinations of 0.3-0.9 for a $3-year timespan. The crust will also respond to highly localized water-load variations.…”

Section: Introductionmentioning

confidence: 99%

Climate‐driven deformation of the solid Earth from GRACE and GPS

Davis

Elósegui

Mitrovica

et al. 2004

Geophysical Research Letters

190

156

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[1] GRACE data indicate large seasonal variations in gravity that are assumed to be related to climate-driven fluxes of surface water. Seasonal redistribution of surface mass should deform the Earth, and our calculations using GRACE data suggest vertical deformations of $13 mm in the region of greatest flux, the Amazon River Basin. To test the GRACE gravity-hydrology connection, we analyzed GPS data acquired from sites in this region. After accounting for degree 1 variations not observable with GRACE, we find that annual deformation measured with GPS correlates highly with predictions calculated from GRACE measurements. These results confirm the variations in surface water sensed by GRACE, which are significantly larger than those predicted by some hydrology models. The results also demonstrate that GRACE can be an important tool for monitoring deformation of the Earth, and suggest that combined analysis of GRACE and GPS may be a useful approach for estimation of geocenter variations.

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“…Signals appear seasonally and inter-seasonally (van Dam and Francis 1998;van Dam et al 2001;Cretaux et al 2002;Bennett 2008;Bos et al 2008) and over transient (Arriagada et al 2011;Chen et al 2011;Reddy et al 2011) and secular (Larson et al 1997;Mitrovica et al 1994;Wahr et al 2001;Khan et al 2008) time scales. The focus of this study is on the secular trends, in particular the estimation of present-day surface mass loading (SML).…”

Section: Geophysical Causes Of Deformationmentioning

confidence: 99%

“…These inferences will affect how any terrestrial reference frame (TRF) is realised, in turn influencing uses of the TRF such as satellite altimetry missions, GIA modelling, and global tide gauge monitoring for sea level change detection. Previous studies into these effects include surface mass loading (Clarke et al 2007;van Dam et al , 2001), plate tectonics (Larson et al 1997;Kogan and Steblov 2008) and GIA (e.g. Milne et al 2004).…”

Section: Introductionmentioning

confidence: 99%

Secular changes in Earth’s shape and surface mass loading derived from combinations of reprocessed global GPS networks

Booker

Clarke

Lavallée

2014

J Geod

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The changing distribution of surface mass (oceans, atmospheric pressure, continental water storage, groundwater, lakes, snow and ice) causes detectable changes in the shape of the solid Earth, on time scales ranging from hours to millennia. Transient changes in the Earth's shape can, regardless of cause, be readily separated from steady secular variation in surface mass loading, but other secular changes due to plate tectonics and glacial isostatic adjustment (GIA) cannot. We estimate secular station velocities from almost 11 years of high quality combined GPS position solutions (GPS weeks 1,000-1,570) submitted as part of the first international global navigation satellite system service reprocessing campaign. Individual station velocities are estimated as a linear fit, paying careful attention to outliers and offsets. We remove a suite of a priori GIA models, each with an associated set of plate tectonic Euler vectors estimated by us; the latter are shown to be insensitive to the a priori GIA model. From the coordinate time series residuals after removing the GIA models and corresponding plate tectonic velocities, we use mass-conserving continental basis functions to estimate surface mass loading including the secular term. The different GIA models lead to significant differences in the estimates of loading in selected regions. Although our loading estimates are broadly comparable with independent estimates from other satellite missions, their range highlights the need for better, more robust GIA models that incorporate 3D Earth structure and accurately represent 3D surface displacements.

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Crustal displacements due to continental water loading

Cited by 365 publications

References 7 publications

The influence of seasonal signals on the estimation of the tectonic motion in short continuous GPS time-series

The influence of seasonal signals on the estimation of the tectonic motion in short continuous GPS time-series

Climate‐driven deformation of the solid Earth from GRACE and GPS

Secular changes in Earth’s shape and surface mass loading derived from combinations of reprocessed global GPS networks

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