Long-Term Sea Level Periodicities over the European Seas from Altimetry and Tide Gauge Data

This study investigates the long-term temporal patterns of sea level changes by analyzing monthly tide gauge data from 1950 to 2022 (42 to 72 years) along the European coastline and monthly altimetry data from 1992 to 2024 in the surrounding European seas. The primary focus is on signals with period...

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Bibliographic Details
Published in:Remote Sensing
Main Authors: Zid, Ferdous, Vigo, Isabel, Vargas-Alemañy, Juan A., Garcia-Garcia, David
Other Authors: Universidad de Alicante. Departamento de Matemática Aplicada, Geodesia por Satélites para la Observación de la Tierra y el Cambio Climático / Satellite Geodesy for Earth Observation and Climate Studies (SG)
Format: Article in Journal/Newspaper
Language:English
Published: MDPI 2024
Subjects:
NAO
AMO
Online Access:http://hdl.handle.net/10045/146227
https://doi.org/10.3390/rs16162931
Description
Summary:This study investigates the long-term temporal patterns of sea level changes by analyzing monthly tide gauge data from 1950 to 2022 (42 to 72 years) along the European coastline and monthly altimetry data from 1992 to 2024 in the surrounding European seas. The primary focus is on signals with periods longer than 5 years. The application of wavelet-based approaches and multiresolution analysis has enabled the isolation of signals with periods of approximately 8 and 16 years. However, the latter has only been observed in tide gauge data, as the altimetry time series is not sufficiently long. The same analysis was applied to the North Atlantic Oscillation (NAO) and Atlantic Multidecadal Oscillation (AMO) indices, which enabled the detection of the same signals. The reported multiyear signals of sea level are correlated with NAO and AMO indices, particularly during the period spanning from 1975 to 2010. This research is supported by grant PID2021-122142OB-I00 funded by MCIN/AEI/10.13039/501100011033, grant PROMETEO/2021/030 funded by Generalitat Valenciana, and grant GVA-THINKINAZUL/2021/035 funded by Generalitat Valenciana and “European Union NextGenerationEU/PRTR”.