Estimation of the Vertical Land Motion from GNSS Time Series and Application in Quantifying Sea-Level Rise

Sea-level rise observed at tide gauges must be corrected for vertical land motion, observed with GNSS, to obtain the absolute sea-level rise with respect 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 acco...

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Bibliographic Details
Main Authors: Montillet, Jean-Philippe, Bos, Machiel S., Melbourne, Timothy I., Williams, Simon D.P., Fernandes, Rui M.S., Szeliga, Walter
Format: Text
Language:unknown
Published: ScholarWorks@CWU 2020
Subjects:
Information criterion
Stochastic modeling
Melting glacier
Ice sheet
ITRF2008
ITRF2014
Satellite altimetry
Uplift rate
Uncertainties
Colored noise
Power-law noise
White noise
Geomorphology
Geophysics and Seismology
Oceanography
Tectonics and Structure
Pacific
Ice Sheet
Online Access:https://digitalcommons.cwu.edu/geological_sciences/125
https://doi.org/10.1007/978-3-030-21718-1_11
Description
Summary:Sea-level rise observed at tide gauges must be corrected for vertical land motion, observed with GNSS, to obtain the absolute sea-level rise with respect 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 but these time series also exhibit colored noise. In this chapter we present noise models for these geodetic time series such as the commonly used first order Auto Regressive (AR), the General Gauss Markov (GGM) and the ARFIMA model. The theory is applied to GNSS and tide gauge data from the Pacific Northwest coast.

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