1. A newly reconciled data set for identifying sea level rise and variability in Dublin Bay
- Author
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Alice Greene, Amin Shoari Nejad, R. J. N. Devoy, Gerard McCarthy, Andrew C. Parnell, Peter Thorne, and Brian P. Kelleher
- Subjects
Calibration (statistics) ,Climatology ,Data quality ,Harbour ,Environmental science ,Tide gauge ,Bayesian linear regression ,computer ,Bay ,Sea level ,Water level ,computer.programming_language - Abstract
We provide an updated sea level dataset for Dublin for the period 1938 to 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 1.08 mm/yr sea level rise at Dublin Port between 1953–2016 (95 % CI from 0.62 to 1.55 mm/yr), and a rate of 6.48 mm/yr between 1997–2016 (95 % CI 4.22 to 8.80 mm/yr). Overall sea level rise is in line with expected trends but large multidecadal varaibility has led to higher rates of rise in recent years.
- Published
- 2021