MURAL - Maynooth University Research Archive Library



    A newly reconciled dataset for identifying sea level rise and variability in Dublin Bay


    Shoari Nejad, Amin, Parnell, Andrew, Greene, Alice, Thorne, Peter, Kelleher, Brian P., 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

    [thumbnail of os-18-511-2022.pdf]
    Preview
    Text
    os-18-511-2022.pdf

    Download (1MB) | Preview

    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: 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)
    Related URLs:
    URI: https://mural.maynoothuniversity.ie/id/eprint/17735
    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

    Repository Staff Only (login required)

    Item control page
    Item control page

    Downloads

    Downloads per month over past year

    Origin of downloads