Ocean Science
Ocean Science
OS
Articles | Volume 21, issue 5
Articles | Volume 21, issue 5
https://doi.org/10.5194/os-21-2367-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/os-21-2367-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 21, issue 5
OS Letters
 | 
08 Oct 2025
OS Letters |  | 08 Oct 2025

Spatiotemporal properties of intrinsic sea level variability along the southeastern United States coastline

Carmine Donatelli, Christopher M. Little, Rui M. Ponte, and Stephen G. Yeager

Data sets

Global Mean Sea Level Trend from Integrated Multi-Mission Ocean Altimeters TOPEX/Poseidon, Jason-1, OSTM/Jason-2, and Jason-3 Version 5.1 MEaSUREs https://doi.org/10.5067/GMSLM-TJ151

New Data Systems and Products at the Permanent Service for Mean Sea Level Holgate et al. https://doi.org/10.2112/JCOASTRES-D-12-00175.1

Influence of Ocean Model Horizontal Resolution on the Representation of Global Annual-To-Multidecadal Coastal Sea Level Variability Little et al. (2024) https://doi.org/10.1029/2024JC021679

Download
Co-editor-in-chief
This article is an engaging analysis and contributes to the ongoing discussion on intrinsic sea level variability and presents a novel and valuable contribution to our understanding of intrinsic sea level variability along the U.S. East Coast
Read more
Short summary
Assessing the spatiotemporal properties of intrinsic sea level variability is vital to improving predictions of coastal sea level changes. Here, we examined intrinsic sea level variability along the Southeast United States coast, an area of high and increasing societal vulnerability to sea level change, using numerical modeling. Our findings reveal that intrinsic coastal sea level variability is not negligible as previously thought and may exhibit predictability despite its chaotic nature.
Read more
Share