Observed spatiotemporal variability in the annual sea level cycle along the Global Coast

dc.contributor.author Barroso, Amanda
dc.contributor.author Wahl, Thomas
dc.contributor.author Li, Sida
dc.contributor.author Enriquez, Alejandra R.
dc.contributor.author Morim, Joao
dc.contributor.author Dangendorf, Sonke
dc.contributor.author Piecuch, Christopher G.
dc.contributor.author Thompson, Philip R.
dc.date.accessioned 2024-10-10T17:57:32Z
dc.date.available 2024-10-10T17:57:32Z
dc.date.issued 2024-04-02
dc.description © The Author(s), 2024. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Barroso, A., Wahl, T., Li, S., Enriquez, A., Morim, J., Dangendorf, S., Piecuch, C., & Thompson, P. (2024). Observed spatiotemporal variability in the annual sea level cycle along the Global Coast. Journal of Geophysical Research: Oceans, 129(4), e2023JC020300, https://doi.org/10.1029/2023JC020300.
dc.description.abstract Changes in the seasonal sea level cycle can modulate the flooding risk along coastlines. Here, we use harmonic analysis to quantify changes in the amplitude and phase of the annual component of the sea level cycle at 798 tide gauge locations along the global coastline where long records are available. We identify coastal hotspots by applying clustering methods revealing coherent regions with similar patterns of variability in the annual sea level cycle. Results show that for most tide gauges the annual amplitude reached its maximum after 1970 and its peak typically occurs during the fall season of the respective hemisphere. Many tide gauges exhibit non-stationarity in the annual cycle in terms of amplitude and/or phase. For example, at 226 tide gauges we find significant trends in the amplitude (either increasing or decreasing) for the time period after 1970; while several sites (50 in total), mostly in the Mediterranean and around Pacific islands, experienced phase changes leading to shifts in the timing of the peak of the annual cycle by more than a month over their entire record. Our results highlight the importance of accounting for potential non-stationarity in seasonal mean sea level cycles along coastlines.
dc.description.sponsorship This research was supported by NASA's Sea Level Change Science Team (Grant 80NSSC20K1241). A.B. was funded by University of Central Florida's McNair Graduate Scholar Fellowship. A. Enríquez was funded by Marie Skłodowska-Curie Actions, project 101019470—SpaDeRisks. J.M. acknowledges support of the University of Central Florida (UCF) Pre-eminent Postdoctoral Program (P3). S.D. also acknowledges David and Jane Flowerree for their endowment funds.
dc.identifier.citation Barroso, A., Wahl, T., Li, S., Enriquez, A., Morim, J., Dangendorf, S., Piecuch, C., & Thompson, P. (2024). Observed spatiotemporal variability in the annual sea level cycle along the Global Coast. Journal of Geophysical Research: Oceans, 129(4), e2023JC020300.
dc.identifier.doi 10.1029/2023JC020300
dc.identifier.uri https://hdl.handle.net/1912/70713
dc.publisher American Geophysical Union
dc.relation.uri https://doi.org/10.1029/2023JC020300
dc.rights Attribution 4.0 International
dc.rights.uri http://creativecommons.org/licenses/by/4.0/
dc.subject Mean sea level
dc.subject Seasonal cycle
dc.subject Clustering
dc.subject Seasonality
dc.title Observed spatiotemporal variability in the annual sea level cycle along the Global Coast
dc.type Article
dspace.entity.type Publication
relation.isAuthorOfPublication 7ca75a11-bf83-466f-95c6-8a7584d1c9ea
relation.isAuthorOfPublication 35f3a318-812d-444d-8037-ca60db564697
relation.isAuthorOfPublication 2ee0c804-669a-480c-a9ab-6fd6e4312b38
relation.isAuthorOfPublication 41b75b16-d6e0-4bc7-810d-8cfb2d1be22d
relation.isAuthorOfPublication 369f1da3-8afe-4b71-b13c-686f4ac7fb6c
relation.isAuthorOfPublication 76834133-ed69-4a09-8a87-e2f899a3503f
relation.isAuthorOfPublication.latestForDiscovery 7ca75a11-bf83-466f-95c6-8a7584d1c9ea
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
BarrosoA_2024.pdf
Size:
1.63 MB
Format:
Adobe Portable Document Format
Description: