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Accuracy assessment of recent global ocean tide models in coastal waters of the European North West Shelf

Lookup NU author(s): David Gregg, Dr Nigel Penna, Dr Miguel Morales MaquedaORCiD

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

© 2024. The accuracy of global ocean tide models is assessed in coastal waters of the European North West Shelf to ascertain where higher resolution local (forecast) models are most needed for geophysical and navigational applications, and which global models are most suitable for providing boundary conditions for regional and local tide models. Five recent global ocean tide models (FES2014b, EOT20, TPXO9-atlas-v5, GOT4.10c, and DTU16) are considered, with the models first compared by interpolating them onto common grids and computing the mean absolute deviation at each grid point. Coastline tide gauge and offshore bottom pressure sensor data were collated from several sources to give a total of 279 observation sites for evaluating model accuracy, including observational values from 137 locations that have not previously been released and have therefore not been assimilated into any of the global models tested. The residual errors between each model's predicted phasor and the corresponding observed phasor were calculated at each observation location, and quantified using the root mean square (RMS) and median absolute residual (MAR) for the eight tidal constituents M2, S2, N2, O1, K1, K2, P1, and Q1. To avoid RMS values being biased by observation point density, a Voronoi-weighted RMS based on the water area of the Voronoi polygon about each observation location was also developed and used. Four zones were defined based on ocean depth to gauge model performance, and model inaccuracy is again demonstrated in near-shore regions. Seven further zones were defined based on geographical areas, which reveals inhomogeneity among the global models. The smallest overall root sum square (RSS) RMS error across all eight constituents arises with FES2014b, although TPXO9-atlas-v5 has the best performance when using the MAR and Voronoi-weighted RMS metrics. Using only the 137 observation sites that have not been assimilated by any model and therefore provide an independent accuracy assessment, FES2014b exhibits the smallest errors at the coastline, with an RSS RMS of 24.46 cm. All models exhibit larger errors with the 137 independent observation sites than with all 279 observation sites, with an average overall increase in RSS RMS error of 12%, and an increase of 30% for coastline tide gauges, highlighting the need for local model development in these areas.


Publication metadata

Author(s): Gregg DE, Penna NT, Jones C, Morales Maqueda MA

Publication type: Article

Publication status: Published

Journal: Ocean Modelling

Year: 2024

Volume: 192

Print publication date: 01/12/2024

Online publication date: 17/10/2024

Acceptance date: 05/10/2024

Date deposited: 13/11/2024

ISSN (print): 1463-5003

ISSN (electronic): 1463-5011

Publisher: Elsevier Ltd

URL: https://doi.org/10.1016/j.ocemod.2024.102448

DOI: 10.1016/j.ocemod.2024.102448

ePrints DOI: 10.57711/fmy8-4835

Data Access Statement: Data used is displayed in Table S1 and Table S2 of the supplementary information.


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Funding

Funder referenceFunder name
EP/S023577/1EPSRC
NE/R010234/1Natural Environment Research Council (NERC)
UK Hydrographic Office

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