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Sea-level trend uncertainty with Pacific climatic variability and temporally-correlated noise

Citation

Royston, S and Watson, CS and Legresy, B and King, MA and Church, JA and Bos, MS, Sea-level trend uncertainty with Pacific climatic variability and temporally-correlated noise, Journal of Geophysical Research: Oceans, 123, (3) pp. 1978-1993. ISSN 2169-9275 (2018) [Refereed Article]


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Copyright 2018 American Geophysical Union

DOI: doi:10.1002/2017JC013655

Abstract

Recent studies have identified climatic drivers of the east-west see-saw of Pacific Ocean satellite altimetry era sea level trends and a number of sea-level trend and acceleration assessments attempt to account for this. We investigate the effect of Pacific climate variability, together with temporally-correlated noise, on linear trend error estimates and determine new time-of-emergence (ToE) estimates across the Indian and Pacific Oceans. Sea-level trend studies often advocate the use of auto-regressive (AR) noise models to adequately assess formal uncertainties, yet sea level often exhibits colored but non-AR(1) noise. Standard error estimates are over- or under-estimated by an AR(1) model for much of the Indo-Pacific sea level. Allowing for PDO and ENSO variability in the trend estimate only reduces standard errors across the tropics and we find noise characteristics are largely unaffected. Of importance for trend and acceleration detection studies, formal error estimates remain on average up to 1.6 times those from an AR(1) model for longduration tide gauge data. There is an even chance that the observed trend from the satellite altimetry era exceeds the noise in patches of the tropical Pacific and Indian Oceans and the south-west and north-east Pacific gyres. By including climate indices in the trend analysis, the time it takes for the observed linear sealevel trend to emerge from the noise reduces by up to 2 decades.

Item Details

Item Type:Refereed Article
Keywords:sea-level rise, time of emergence, natural variability, noise, altimetry, sea level, trend error, uncertainty, climate variability, temporal correlation, noise
Research Division:Engineering
Research Group:Geomatic Engineering
Research Field:Geodesy
Objective Division:Expanding Knowledge
Objective Group:Expanding Knowledge
Objective Field:Expanding Knowledge in the Earth Sciences
UTAS Author:Royston, S (Dr Sam Royston)
UTAS Author:Watson, CS (Dr Christopher Watson)
UTAS Author:King, MA (Professor Matt King)
ID Code:124834
Year Published:2018
Funding Support:Australian Research Council (DP150100615)
Web of Science® Times Cited:1
Deposited By:Geography and Spatial Science
Deposited On:2018-03-14
Last Modified:2019-03-14
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