Can we model the effect of observed sea level rise on tides?

The link between secular changes in the lunar semidiurnal ocean tide (M2) and relative sea level rise is examined based on numerical tidal modeling and the analysis of long-term sea level records from Europe, Australia, and the North American Atlantic coasts. The study sets itself apart from previou...

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Published in:Journal of Geophysical Research: Oceans
Main Authors: Schindelegger, Michael, Green, Mattias, Wilmes, Sophie-Berenice, Haigh, Ivan
Format: Article in Journal/Newspaper
Language:English
Published: American Geophysical Union 2018
Subjects:
Online Access:https://hdl.handle.net/20.500.11811/1353
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author Schindelegger, Michael
Green, Mattias
Wilmes, Sophie-Berenice
Haigh, Ivan
author_facet Schindelegger, Michael
Green, Mattias
Wilmes, Sophie-Berenice
Haigh, Ivan
author_sort Schindelegger, Michael
collection bonndoc - The Repository of the University of Bonn
container_issue 7
container_start_page 4593
container_title Journal of Geophysical Research: Oceans
container_volume 123
description The link between secular changes in the lunar semidiurnal ocean tide (M2) and relative sea level rise is examined based on numerical tidal modeling and the analysis of long-term sea level records from Europe, Australia, and the North American Atlantic coasts. The study sets itself apart from previous work by using a 1/12° global tide model that incorporates the effects of self-attraction and loading through time-step-wise spherical harmonic transforms instead of iteration. This novel self-attraction and loading implementation incurs moderate computational overheads (some 50%) and facilitates the simulation of shelf sea tides with a global root mean square error of 14.6 cm in depths shallower than 1,000 m. To reproduce measured tidal changes in recent decades, the model is perturbed with realistic water depth changes, compiled from maps of altimetric sea level trends and postglacial crustal rebound. The M2 response to the adopted sea level rise scenarios exhibits peak sensitivities in the North Atlantic and many marginal seas, with relative magnitudes of 1–5% per century. Comparisons with a collection of 45 tide gauge records reveals that the model reproduces the sign of the observed amplitude trends in 80% of the cases and captures considerable fractions of the absolute M2 variability, specifically for stations in the Gulf of Mexico and the Chesapeake-Delaware Bay system. While measured-to-model disparities remain large in several key locations, such as the European Shelf, the study is deemed a major step toward credible predictions of secular changes in the main components of the ocean tide.
format Article in Journal/Newspaper
genre North Atlantic
genre_facet North Atlantic
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op_doi https://doi.org/20.500.11811/1353
https://doi.org/10.1029/2018JC013959
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spelling ftunivbonn:oai:bonndoc.ulb.uni-bonn.de:20.500.11811/1353 2025-01-16T23:42:43+00:00 Can we model the effect of observed sea level rise on tides? Schindelegger, Michael Green, Mattias Wilmes, Sophie-Berenice Haigh, Ivan 2018-06-07 17 application/pdf https://hdl.handle.net/20.500.11811/1353 eng eng American Geophysical Union info:eu-repo/semantics/altIdentifier/eissn/2169-9291 info:eu-repo/semantics/altIdentifier/doi/10.1029/2018JC013959 https://hdl.handle.net/20.500.11811/1353 In Copyright http://rightsstatements.org/vocab/InC/1.0/ openAccess Ozeangezeiten Meeresspiegelanstieg Numerische Modellierung ddc:550 doc-type:article 2018 ftunivbonn https://doi.org/20.500.11811/1353 https://doi.org/10.1029/2018JC013959 2023-02-13T19:26:39Z The link between secular changes in the lunar semidiurnal ocean tide (M2) and relative sea level rise is examined based on numerical tidal modeling and the analysis of long-term sea level records from Europe, Australia, and the North American Atlantic coasts. The study sets itself apart from previous work by using a 1/12° global tide model that incorporates the effects of self-attraction and loading through time-step-wise spherical harmonic transforms instead of iteration. This novel self-attraction and loading implementation incurs moderate computational overheads (some 50%) and facilitates the simulation of shelf sea tides with a global root mean square error of 14.6 cm in depths shallower than 1,000 m. To reproduce measured tidal changes in recent decades, the model is perturbed with realistic water depth changes, compiled from maps of altimetric sea level trends and postglacial crustal rebound. The M2 response to the adopted sea level rise scenarios exhibits peak sensitivities in the North Atlantic and many marginal seas, with relative magnitudes of 1–5% per century. Comparisons with a collection of 45 tide gauge records reveals that the model reproduces the sign of the observed amplitude trends in 80% of the cases and captures considerable fractions of the absolute M2 variability, specifically for stations in the Gulf of Mexico and the Chesapeake-Delaware Bay system. While measured-to-model disparities remain large in several key locations, such as the European Shelf, the study is deemed a major step toward credible predictions of secular changes in the main components of the ocean tide. Article in Journal/Newspaper North Atlantic bonndoc - The Repository of the University of Bonn Journal of Geophysical Research: Oceans 123 7 4593 4609
spellingShingle Ozeangezeiten
Meeresspiegelanstieg
Numerische Modellierung
ddc:550
Schindelegger, Michael
Green, Mattias
Wilmes, Sophie-Berenice
Haigh, Ivan
Can we model the effect of observed sea level rise on tides?
title Can we model the effect of observed sea level rise on tides?
title_full Can we model the effect of observed sea level rise on tides?
title_fullStr Can we model the effect of observed sea level rise on tides?
title_full_unstemmed Can we model the effect of observed sea level rise on tides?
title_short Can we model the effect of observed sea level rise on tides?
title_sort can we model the effect of observed sea level rise on tides?
topic Ozeangezeiten
Meeresspiegelanstieg
Numerische Modellierung
ddc:550
topic_facet Ozeangezeiten
Meeresspiegelanstieg
Numerische Modellierung
ddc:550
url https://hdl.handle.net/20.500.11811/1353