Ocean Science
Ocean Science
OS
Articles | Volume 18, issue 4
Articles | Volume 18, issue 4
https://doi.org/10.5194/os-18-1093-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/os-18-1093-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 4
Research article
 | 
27 Jul 2022
Research article |  | 27 Jul 2022

Attributing decadal climate variability in coastal sea-level trends

Sam Royston, Rory J. Bingham, and Jonathan L. Bamber

Supplement

https://doi.org/10.5194/os-18-1093-2022-supplement

Data sets

Attributing decadal climate variability in coastal sea-level trends S. Royston, R. J. Bingham, and J. L. Bamber https://doi.org/10.5281/zenodo.5849268

Archive data from run 6 of the NEMO 1/12 degree global ocean mode A. C. Coward https://gws-access.ceda.ac.uk/public/nemo/runs/ORCA0083-N06/means/

Time series of gridded Sea Level Anomalies ESA https://doi.org/10.5270/esa-sea_level_cci-MSLA-1993_2015-v_2.0-201612

The causes of sea-level rise since 1900 T. Frederikse, F. Landerer, L. Caron,S. Adhikari, D. Parkes, V. W. Humphrey, S. Dangendorf, P. Hogarth, L. Zanna, L. Cheng, and Y.-H. Wu https://doi.org/10.5067/GMSLT-FJPL1

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Short summary
Decadal sea-level variability masks longer-term changes and increases uncertainty in observed trend and acceleration estimates. We use numerical ocean models to determine the magnitude of decadal variability we might expect in sea-level trends at coastal locations around the world, resulting from natural, internal variability. A proportion of that variability can be replicated from known climate modes, giving a range to add to short- to mid-term projections of regional sea-level trends.
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