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An empirical approach to improving tidal predictions using recent real-time tide gauge data


Hibbert, A and Royston, SJ and Horsburgh, KJ and Leach, H and Hisscott, A, An empirical approach to improving tidal predictions using recent real-time tide gauge data, Journal of Operational Oceanography, 8, (1) pp. 40-51. ISSN 1755-876X (2015) [Refereed Article]


Copyright Statement

Copyright 2015 Natural Environment Research Council (NERC). Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0)

DOI: doi:10.1080/1755876X.2015.1014641


Harmonic tidal prediction methods are often problematic in estuaries owing to the distortion of tidal fluctuations in shallow water, causing disparity between predicted and observed sea levels. The UK National Tidal and Sea Level Facility attempted to reduce prediction errors for the short-term forecasting of High Water (HW) extremes using three alternative techniques to the Harmonic Method in the Bristol Channel, where prediction errors are relatively large. A simple procedure for correcting Harmonic Method HW predictions using recent observations (referred to as the Empirical Correction Method) proved most effective and was also successfully applied to sea-level records from 42 of the 44 UK Tide Gauge Network locations. It is to be incorporated into the operational systems of the UK Coastal Monitoring and Forecasting Partnership to improve UK shortterm sea level predictions.

Item Details

Item Type:Refereed Article
Keywords:tides, tidal prediction, storm surge, ports and harbours
Research Division:Earth Sciences
Research Group:Oceanography
Research Field:Physical oceanography
Objective Division:Environmental Management
Objective Group:Marine systems and management
Objective Field:Oceanic processes (excl. in the Antarctic and Southern Ocean)
UTAS Author:Royston, SJ (Dr Sam Royston)
ID Code:110295
Year Published:2015
Web of Science® Times Cited:11
Deposited By:Geography and Spatial Science
Deposited On:2016-07-22
Last Modified:2017-11-01
Downloads:173 View Download Statistics

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