Titlebook: Geodetic Time Series Analysis in Earth Sciences; Jean-Philippe Montillet,Machiel S. Bos Book 2020 Springer Nature Switzerland AG 2020 GNSS

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R. Zenker,G. Heberer,H. H. Löhrons were written as the sum of a signal plus noise and we emphasized in particular the modelling of the temporal correlated noise in these analyses. In most cases we are interested in the secular motion which is modelled by a linear trend. However, the observations can contain other geophysical sign

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https://doi.org/10.1007/978-3-642-86311-0as resulted in different temporal gravity field solutions using the Gravity Recovery and Climate Experiment (GRACE) observations. In this chapter, we compare timewise batch processor algorithm for solving variational equations with spacewise energy balance approach using simulated GRACE observations

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https://doi.org/10.1007/978-3-642-49179-5ect to the centre of the Earth. Both the sea-level and vertical position time series contain temporal correlated noise that need to be taken into account to obtain the most accurate rate estimates and to ensure realistic uncertainties. Satellite altimetry directly observes absolute sea-level rise bu

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978-3-030-21720-4Springer Nature Switzerland AG 2020

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Jean-Philippe Montillet,Machiel S. BosSummarizes the technologies and space missions and the rapid advances in geodesy associated with them.Provides an overview of current standards of geodetic time series measurements and analysis.Contai

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