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See detailTime varying gravity from SLR and combined SLR and high-low satellite-to-satellite tracking data
Sośnica, Krzysztof; Jäggi, Adrian; Weigelt, Matthias UL et al

Scientific Conference (2014, September 30)

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See detailHow well can the combination of hlSST and SLR replace GRACE? A discussion from the point of view of applications
Weigelt, Matthias UL; van Dam, Tonie UL; Baur, Oliver et al

Scientific Conference (2014, September 30)

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See detailTowards combined global monthly gravity field solutions
Jäggi, Adrian; Meyer, Ulrich; Weigelt, Matthias UL et al

Scientific Conference (2014, April)

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See detailOn the capability of Swarm for surface mass variation monitoring: Quantitative assessment based on orbit information from CHAMP, GRACE and GOCE
Baur, Oliver; Weigelt, Matthias UL; Zehentner, Norbert et al

Scientific Conference (2014, April)

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See detailVertical deformations from homogeneously processed GRACE and global GPS long-term series
Tesmer, Volker; Steigenberger, Peter; van Dam, Tonie UL et al

in Journal of Geodesy (2011)

Temporal variations in the geographic distribution of surface mass cause surface displacements. Surface displacements derived from GRACE gravity field coefficient time series also should be observed in ... [more ▼]

Temporal variations in the geographic distribution of surface mass cause surface displacements. Surface displacements derived from GRACE gravity field coefficient time series also should be observed in GPS coordinate time series, if both time series are sufficiently free of systematic errors. A successful validation can be an important contribution to climate change research, as the biggest contributors to mass variability in the system Earth include the movement of oceanic, atmospheric, and continental water and ice. In our analysis, we find that if the signals are larger than their precision, both geodetic sensor systems see common signals for almost all the 115 stations surveyed. Almost 80% of the stations have their signal WRMS decreased, when we subtract monthly GRACE surface displacements from those observed by GPS data. Almost all other stations are on ocean islands or small peninsulas, where the physically expected loading signals are very small. For a fair comparison, the data(79 months from September 2002 to April 2009) had to be treated appropriately: the GPS data were completely reprocessed with state-of-the-art models. We used an objective cluster analysis to identify and eliminate stations,where local effects or technical artifacts dominated the signals. In addition, it was necessary for both sets of results to be expressed in equivalent reference frames, meaning that net translations between the GPS and GRACE data sets had to be treated adequately. These data sets are then compared and statistically analyzed: we determine the stability (precision) of GRACEderived, monthly vertical deformation data to be ∼1.2 mm, using the data from three GRACE processing centers. We statistically analyze themean annual signals, computed from the GPS and GRACE series. There is a detailed discussion of the results for five overall representative stations, in order to help the reader to link the displayed criteria of similarity to real data. A series of tests were performed with the goal of explaining the remaining GPS–GRACE residuals. [less ▲]

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