Analysis of systematic differences from GPS-measured and GRACE-modeled deformation in Central Valley, California

Tan, Weijie; Dong, Danan; Chen, Junping; Wu, Bin

doi:10.1016/j.asr.2015.08.034

Cited by 24 publications

(10 citation statements)

References 44 publications

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“…5a). To this end, poroelastic effects due to the lowering of groundwater aquifers (e.g., Tan et al 2016) do not seem to be apparent in the GPS-VCDs over South America (Ferreira et al 2019). However, few stations demonstrate significant anti-correlation with significant amplitudes, which could indicate phase lags between those displacements observed by GPS and those derived from GRACE and CLMs.…”

Section: Sourcementioning

confidence: 93%

Determining seasonal displacements of Earth’s crust in South America using observations from space-borne geodetic sensors and surface-loading models

Ferreira

Castro

Ndehedehe

et al. 2019

Earth Planets Space

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There are small pieces of evidence, suggesting that South America's hydrological cycle is changing, which impacts its water availability and, consequently, the Earth's surface due to its elastic response to the surface mass loading/ unloading. Therefore, we analyzed 3 to 15 years of vertical crustal displacements (VCDs) due to mass loadings using 292 Global Positioning System (GPS) stations in South America, which are essential for studies related to tectonic phenomena, for example. Thus, we investigated whether the intra-annual variabilities of the displacements could be reduced using modeled VCDs and inverted displacements from Gravity Recovery and Climate Experiment (GRACE) harmonic solutions (Release 06). The modeled VCDs come from the combination of nontidal atmospheric and ocean loadings with the hydrological loadings from the land-surface model (GLDAS) and reanalysis (MERRA). We found that the highest amplitudes of VCDs of the annual signals are concentrated mainly over the Amazon Rainforest and Brazilian Highlands. However, the results also show different behavior throughout other physiographic provinces of South America, which shows low water capabilities as "sensed" by GRACE and described by the GLDAS and MERRA models. Accordingly, when we disregard the stations over the Andes Mountains and Patagonia in the analysis, the highest reduction in the variability of GPS-observed VCDs is achieved while using GRACE (79% of the sites), MERRA (75% of the sites), and GLDAS (74% of the sites). For these stations, the amplitudes (and phases) of the annual signals depicted by the geodetic sensors generally agree, while those from GLDAS and MERRA explain only approximately 50% of the deformation. However, in the southwest region of South America (between the latitude bands of − 40° to − 30°), GPS annual signals, which reached up to 11 mm, are much larger than those from GRACE and the models due to the existence of lakes that are not resolved in global analysis. These inconsistencies between GPS-observed VCDs and those derived from GRACE and the other models require further investigation, specifically for Chile.

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Section: Sourcementioning

confidence: 93%

Determining seasonal displacements of Earth’s crust in South America using observations from space-borne geodetic sensors and surface-loading models

Ferreira

Castro

Ndehedehe

et al. 2019

Earth Planets Space

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“…SLMs can not only remove the corresponding seasonal effect of surface loadings in the GPS results, but also provide smaller scale change information that cannot be resolved by GRACE [12][13][14]. The combination of GRACE and SLMs is used to remove the effect of non-tectonic seasonal signals in the GPS data, which is helpful for obtaining accurate tectonic deformation field information and other geophysical phenomena we are interested in within the target area [15][16][17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Characterizing the Seasonal Crustal Motion in Tianshan Area Using GPS, GRACE and Surface Loading Models

Zhao

Bao

et al. 2017

Remote Sensing

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Abstract:Complex tectonic and non-tectonic movements exist in the Tianshan area. However, we have not acquired good knowledge of such movements yet. In this study, we combine Global Positioning System (GPS), the Gravity Recovery and Climate Experiment (GRACE) and Surface Loading Models (SLMs) data to study the seasonal vertical crustal displacements in the Tianshan area. The results show that all three datasets exhibit significant annual variations at all 26 local GPS stations. Correlation coefficients higher than 0.8 between the GRACE and GPS data were observed at 85% of the stations, and it became 92% when comparing GPS and SLMs. The Weighted Root Mean Squares (WRMS) reductions were 41% and 47% after removing the annual displacements of GRACE and SLMs from the GPS time series, respectively. The consistency between the GPS and SLMs data was higher than that between the GPS and GRACE data, which is mainly due to the dominant position of atmospheric loading in the study area. For the abnormal station XJYN (43 • N, 81 • E), the GPS time series showed an abnormal uplift from early 2013 to early 2015, but this not shown in the GRACE and SLMs results. We attribute this discrepancy to groundwater variations, which are not resolvable by GRACE and SLMs for small-scale regions.

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“…Many authors have proved that the estimated ground displacements using GRACE mission data are in a good agreement with the corresponding ones determined from other space geodetic techniques, e.g. Kusche and Schrama (2005), van Dam et al (2007), Pan et al (2016), Tan et al (2016), Wang et al (2016), Gua et al (2017) for the Global Navigation Satellite System (GNSS) and Eriksson and MacMillan (2014) for the Very Long Baseline Interferometry (VLBI).…”

Section: Introductionmentioning

confidence: 76%

On the estimation of physical height changes using GRACE satellite mission data – A case study of Central Europe

Godah

Szelachowska

Krynski

2017

Geodesy and Cartography

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Abstract:The dedicated gravity satellite missions, in particular the GRACE (Gravity Recovery and Climate Experiment) mission launched in 2002, provide unique data for studying temporal variations of mass distribution in the Earth's system, and thereby, the geometry and the gravity fi eld changes of the Earth. The main objective of this contribution is to estimate physical height (e.g. the orthometric/normal height) changes over Central Europe using GRACE satellite mission data as well as to analyse them and model over the selected study area. Physical height changes were estimated from temporal variations of height anomalies and vertical displacements of the Earth surface being determined over the investigated area. The release 5 (RL05) GRACE-based global geopotential models as well as load Love numbers from the Preliminary Reference Earth Model (PREM) were used as input data. Analysis of the estimated physical height changes and their modelling were performed using two methods: the seasonal decomposition method and the PCA/ EOF (Principal Component Analysis/Empirical Orthogonal Function) method and the differences obtained were discussed. The main fi ndings reveal that physical height changes over the selected study area reach up to 22.8 mm. The obtained physical height changes can be modelled with an accuracy of 1.4 mm using the seasonal decomposition method.

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Analysis of systematic differences from GPS-measured and GRACE-modeled deformation in Central Valley, California

Cited by 24 publications

References 44 publications

Determining seasonal displacements of Earth’s crust in South America using observations from space-borne geodetic sensors and surface-loading models

Determining seasonal displacements of Earth’s crust in South America using observations from space-borne geodetic sensors and surface-loading models

Characterizing the Seasonal Crustal Motion in Tianshan Area Using GPS, GRACE and Surface Loading Models

On the estimation of physical height changes using GRACE satellite mission data – A case study of Central Europe

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