Estimation of the vertical land motion from GNSS time series and application in quantifying sea-level rise

Montillet, Jean-Philippe; Bos, Machiel S.; Melbourne, Timothy I.; Williams, Simon D. P. ORCID: https://orcid.org/0000-0003-4123-4973; Fernandes, Rui M. S.; Szeliga, Walter M.. 2019 Estimation of the vertical land motion from GNSS time series and application in quantifying sea-level rise. In: Montillet, Jean-Philippe; Bos, Machiel S., (eds.) Geodetic time series analysis in earth sciences. Springer, 317-344.

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Official URL: http://dx.doi.org/10.1007/978-3-030-21718-1_11

Abstract/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.

Item Type:	Publication - Book Section
Digital Object Identifier (DOI):	https://doi.org/10.1007/978-3-030-21718-1_11
ISSN:	2364-9119
Date made live:	02 Mar 2021 10:50 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/529786

Item Type:

Publication - Book Section

Digital Object Identifier (DOI):

https://doi.org/10.1007/978-3-030-21718-1_11

ISSN:

2364-9119

Date made live:

02 Mar 2021 10:50 +0 (UTC)

URI:

https://nora.nerc.ac.uk/id/eprint/529786