Articles | Volume 18, issue 2
https://doi.org/10.5194/os-18-511-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/os-18-511-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
22 Apr 2022
Research article |
| 22 Apr 2022
| 22 Apr 2022
A newly reconciled dataset for identifying sea level rise and variability in Dublin Bay
Amin Shoari Nejad
CORRESPONDING AUTHOR
Hamilton Institute, Insight Centre for Data Analytics, Maynooth University, Kildare, Ireland
ICARUS, Department of Geography, Maynooth University, Maynooth, Ireland
Andrew C. Parnell
Hamilton Institute, Insight Centre for Data Analytics, Maynooth University, Kildare, Ireland
ICARUS, Department of Geography, Maynooth University, Maynooth, Ireland
Alice Greene
ICARUS, Department of Geography, Maynooth University, Maynooth, Ireland
Peter Thorne
ICARUS, Department of Geography, Maynooth University, Maynooth, Ireland
Brian P. Kelleher
School of Chemical Sciences, Dublin City University, Dublin 9, Ireland
Robert J. N. Devoy
Department of Geography, University College Cork, Cork, Ireland
Gerard McCarthy
ICARUS, Department of Geography, Maynooth University, Maynooth, Ireland
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K. Willett, C. Williams, I. T. Jolliffe, R. Lund, L. V. Alexander, S. Brönnimann, L. A. Vincent, S. Easterbrook, V. K. C. Venema, D. Berry, R. E. Warren, G. Lopardo, R. Auchmann, E. Aguilar, M. J. Menne, C. Gallagher, Z. Hausfather, T. Thorarinsdottir, and P. W. Thorne
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Cited articles
Bradley, S., Milne, G., Shennan, I., and Edwards, R.: An improved glacial
isostatic adjustment model for the British Isles, J. Quaternary
Sci., 26, 541–552, 2011. a
Bradshaw, E., Woodworth, P., Hibbert, A., Bradley, L., Pugh, D., Fane, C., and
Bingley, R.: A century of sea level measurements at Newlyn, Southwest
England, Mar. Geod., 39, 115–140, 2016. a
Brooks, S. and Gelman, A.: General methods for monitoring convergence of
iterative simulations, J. Comput. Graph. Stat., 7,
434–455, 1998. a
Camaro Garcia, W., Dwyer, N., Barrett, F., Berry, A., Cronin, M., Cusack, C.,
Gallagher, S., Gault, J., Gill, M., Gleeson, E., Hanley, J., Kane, P.,
Lambkin, K., Lawlor, R., Lydon, K., Lyons, K., Martin, D., McCarthy, G.,
McGovern, E., Murphy, C., Nolan, G., Nugent, C., O’Dwyer, B., Ovadnevaite,
J., Quinlan, C., Saunders, M., Silke, J., Smith, G., Thomas, R., Walsh, S.,
Westbrook, G., Eoin, W., and Wilkes, R.: Climate Status Report for Ireland,
Tech. Rep., EPA, https://www.epa.ie/publications/research/climate-change/Research_Report_386.pdf (last access: 20 April 2022), 2021. a
CSO: Central Statistics Office: Population and Migration Estimates April 2020,
https://www.cso.ie/en/csolatestnews/pressreleases/ (last access: 8 September 2021),
2019. a
Dangendorf, S., Marcos, M., Wöppelmann, G., Conrad, C., Frederikse, T., and
Riva, R.: Reassessment of 20th century global mean sea level rise,
P. Natl. Acad. Sci. USA, 114, 5946–5951, 2017. a
DCC: Dublin City Council: Dublin Coastal Flooding Protection Project, Report
No. 9M2793., Tech. Rep., Report for Dublin City Council, drafted by: Owen Mc Manus, Ian Cooke, John Greenyer, https://www.fingal.ie/sites/default/ (last access: 20 April 2022), 2005. a, b
DCC: Dublin city council: Climate change action plan,
https://www.dublincity.ie/residential/environment/
(last access: 10 April 2022), 2017. a
Devoy, R.: Coastal vulnerability and the implications of sea-level rise for
Ireland, J. Coast. Res., 24, 325–341, 2008. a
Devoy, R. J.: Sea-level rise: causes, impacts, and scenarios for change, in:
Coastal and Marine Hazards, Risks, and Disasters, Elsevier,
197–241, https://doi.org/10.1016/B978-0-12-396483-0.00008-X, 2015. a
Diabaté, S. T., Swingedouw, D., Hirschi, J. J.-M., Duchez, A., Leadbitter, P. J., Haigh, I. D., and McCarthy, G. D.: Western boundary circulation and coastal sea-level variability in Northern Hemisphere oceans, Ocean Sci., 17, 1449–1471, https://doi.org/10.5194/os-17-1449-2021, 2021. a
Edwards, R. and Craven, K.: Relative Sea-Level Change Around the Irish Coast, in: Advances in Irish Quaternary Studies, 181–215, edited by: Coxon, P., McCarron, S., and Mitchell, F., Atlantis Press, https://doi.org/10.2991/978-94-6239-219-9, 2017. a
Frederikse, T., Simon, K., Katsman, C. A., and Riva, R.: The sea‐level budget
along the Northwest Atlantic coast: GIA, mass changes, and large‐scale
ocean dynamics, J. Geophys. Res.-Ocean., 122, 5486–5501,
2017. a
Fung, F., Palmer, M., Howard, T., Lowe, J., Maisey, P., and Mitchell, J.:
UKCP18 Factsheet: Sea Level Rise and Storm Surge, Tech. Rep., Met Office
Hadley Centre, Exeter, https://www.metoffice.gov.uk/binaries/content/ (last access: 20 April 2022), 2018. a
Gelman, A. and Rubin, D.: Inference from iterative simulation using multiple
sequences, Stat. Sci., 7, 457–472, 1992. a
Haigh, I. D., Eliot, M., and Pattiaratchi, C.: Global influences of the 18.61
year nodal cycle and 8.85 year cycle of lunar perigee on high tidal levels,
J. Geophys. Res.-Ocean., 116, C6, https://doi.org/10.1029/2010JC006645, 2011. a
Holgate, S., Matthews, A., Woodworth, P., Rickards, L., Tamisiea, M., Bradshaw,
E., Foden, P., Gordon, K., Jevrejeva, S., and Pugh, J.: New Data Systems and
Products at the Permanent Service for Mean Sea Level, J. Coast.
Res., 29, 493–504, 2013. a
IMI: Irish Marine Institute website,
https://erddap.marine.ie/erddap/ (last access: 1 September 2021),
2019. a
Kalnay, E., Kanamitsu, M., Kistler, R., Collins, W., Deaven, D., Gandin, L.,
Iredell, M., Saha, S., White, G., Woollen, J., Zhu, Y., Leetmaa, A.,
Reynolds, R., Chelliah, M., Ebisuzaki, W., Higgins, W., Janowiak, J., Mo, K.,
Ropelewski, C., Wang, J., Jenne, R., and Joseph, D.: The NCEP/NCAR 40-year
reanalysis project, Bull. Am. Meteorol. Soc., 77,
437–471, 1996. a
Kanamitsu, M., Ebisuzaki, W., Woollen, J., Yang, S.-K., Hnilo, J., Fiorino, M.,
and Potter, G.: NCEP–DOE AMIP-II Reanalysis (R-2), Bull. Am.
Meteorol. Soc., 83, 1631–1643, 2002. a
Kemp, M. U., Emiel van Loon, E., Shamoun-Baranes, J., and Bouten, W.: RNCEP:
global weather and climate data at your fingertips, Method. Ecol.
Evol., 3, 65–70, 2012. a
Marine Institute: Tidal Observations, Marine Institute [data set], available at: http://www.marine.ie/Home/site-area/data-services/real-time-observations/tidal-observations, last access: 11 December 2021. a
Masson-Delmotte, V., Zhai, P., Pirani, A., Connors, S. L., Péan, C., Berger,
S., Caud, N., Chen, Y., Goldfarb, L., Gomis, M. I., Huang, M., Leitzell, K.,
Lonnoy, E., Matthews, J., Maycock, T. K., Waterfield, T., Yelekçi, O., Yu,
R., et al. (Eds.): IPCC, 2021: Summary for Policymakers, in: Climate
Change 2021: The Physical Science Basis, Contribution of Working Group I to
the Sixth Assessment Report of the Intergovernmental Panel on Climate Change,
Tech. Rep., Cambridge University Press, https://www.ipcc.ch/report/ar6/wg1/downloads/report/IPCC_AR6_WGI_Full_Report.pdf (last access: 20 April 2022), 2021. a, b
Murphy, J., Sutton, G., O'Mahony, C., and Woodworth, P.: Scoping Study to
Assess the Status of Irelands Tide Gauge Infrastructure and Outline Current
and Future Requirements, Tech. Rep., https://www.psmsl.org/train_and_info/ (last access: 20 April 2022), 2003. a
Nerem, R., Beckley, B., Fasullo, J., Hamlington, B., Masters, D., and Mitchum,
G.: Climate change driven accelerated sea level rise detected in the
altimeter era, P. Natl. Acad. Sci. USA, 115,
2022–2025, 2018. a
O'Connell, G.: Interview on Pat Kenny Newstalk: Is Catastrophic Dublin
flooding inevitable?,
https://www.newstalk.com/podcasts/ (last access: 1 September 2021),
2019. a
OPW: GPRS Stations, OPW [data set], avaiable at: https://waterlevel.ie/, last access: 11 December 2021. a
Orford, J. and Murdy, J.: Presence and possible cause of periodicities in
20th-century extreme coastal surge: Belfast Harbour, Northern Ireland, Glob. Planet. Change, 133, 254–262, 2015. a
Orford, J., Murdy, J., and Freel, R.: Developing constraints on the relative
sea-level curve for the northeast of Ireland from the mid-Holocene to the
present day, Philos. T. R. Soc. A, 364, 857–866, 2006. a
Plummer, M. et al.: JAGS: A program for analysis of Bayesian graphical models
using Gibbs sampling, in: Proceedings of the 3rd international workshop on
distributed statistical computing, Vol. 124, 1–10, Vienna, Austria,
2003. a
Pugh, D. T., Bridge, E., Edwards, R., Hogarth, P., Westbrook, G., Woodworth, P. L., and McCarthy, G. D.: Mean sea level and tidal change in Ireland since 1842: a case study of Cork, Ocean Sci., 17, 1623–1637, https://doi.org/10.5194/os-17-1623-2021, 2021. a
R Core Team: R: A language and environment for statistical computing, R
Foundation for Statistical Computing, Tech. Rep., Vienna, Austria,
https://www.R-project.org/ (last access: 21 January 2022), 2022.
a
Shoari Nejad, A., McCarthy, G., Parnell, A. C., Thorne, P., Kelleher, B. P., Devoy, R. J. N., and Greene, A.: Dublin's Corrected Mean Sea Level (1938–2016), Zenodo [data set], https://doi.org/10.5281/zenodo.6338475, 2021. a
Woodworth, P., Tsimplis, M., Flather, R., and Shennan, I.: A review of the
trends observed in British Isles mean sea level data measured by tide gauges,
Geophys. J. Int., 136, 651–670, 1999. a
Woodworth, P. L.: A note on the nodal tide in sea level records, J.
Coast. Res., 28, 316–323, 2012. a
Wöppelmann, G., Pouvreau, N., and Simon, B.: Brest sea level record: a time
series construction back to the early eighteenth century, Ocean Dynam., 56,
487–497, 2006. a
Short summary
We have collated multiple sources of tide gauge data for Dublin Port, and subsequently corrected them for bias. We have then shown that these corrected mean sea level measurements agree with nearby tide gauges to a far higher degree than the raw data. A longer-term comparison with Brest and Newlyn also indicates overall agreement. Our final adjusted dataset estimated the rate of sea level rise to be 1.1 mm/yr between 1953 and 2016 and 7 mm/yr between 1997 and 2016 at Dublin Port.
We have collated multiple sources of tide gauge data for Dublin Port, and subsequently corrected...
