Shoari Nejad, Amin and Parnell, Andrew and Greene, Alice and Thorne, Peter and Kelleher, Brian P. and Devoy, Robert J. N. and McCarthy, Gerard (2022) A newly reconciled dataset for identifying sea level rise and variability in Dublin Bay. Ocean Science, 18 (2). pp. 511-522. ISSN 1812-0792

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Abstract

We provide an updated sea level dataset for Dublin for the period 1938–2016 at yearly resolution. Using a newly collated sea level record for Dublin Port, as well as two nearby tide gauges at Arklow and Howth Harbour, we perform data quality checks and calibration of the Dublin Port record by adjusting the biased high water level measurements that affect the overall calculation of mean sea level (MSL). To correct these MSL values, we use a novel Bayesian linear regression that includes the mean low water values as a predictor in the model. We validate the re-created MSL dataset and show its consistency with other nearby tide gauge datasets. Using our new corrected dataset, we estimate a rate of sea level rise of 1.1 mm yr−1 during 1953–2016 (95 % credible interval from 0.6 to 1.6 mm yr−1 ), and a rate of 7 mm yr−1 during 1997–2016 (95 % credible interval from 5 to 8.8 mm yr−1). The overall sea level rise is in line with expected trends, but large multidecadal variability has led to higher rates of rise in recent years.

Item Type:	Article
Additional Information:	Cite as: Shoari Nejad, A., Parnell, A. C., Greene, A., Thorne, P., Kelleher, B. P., Devoy, R. J. N., and McCarthy, G.: A newly reconciled dataset for identifying sea level rise and variability in Dublin Bay, Ocean Sci., 18, 511–522, https://doi.org/10.5194/os-18-511-2022, 2022.
Keywords:	Sea level rise; Dublin port;
Academic Unit:	Faculty of Science and Engineering > Research Institutes > Hamilton Institute Faculty of Social Sciences > Research Institutes > Irish Climate Analysis and Research Units, ICARUS
Item ID:	17735
Identification Number:	https://doi.org/10.5194/os-18-511-2022
Depositing User:	Andrew Parnell
Date Deposited:	26 Oct 2023 08:40
Journal or Publication Title:	Ocean Science
Publisher:	Copernicus Publications
Refereed:	Yes
Funders:	This research has been supported by the Science Foundation Ireland (grant no. 16/IA/4520)
URI:	https://os.copernicus.org/articles/18/51...
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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