Sea Level Variability in the Red Sea: A Persistent East–West Pattern

Based on 26 years of satellite altimetry, this study reveals the presence of a persistent east–west pattern in the sea level of the Red Sea, which is visible throughout the years when considering the east–west difference in sea level. This eastern–western (EW) difference is positive during winter wh...

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Published in:Remote Sensing
Main Authors: Cheriyeri Abdulla, Abdullah Al-Subhi
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2020
Subjects:
Online Access:https://doi.org/10.3390/rs12132090
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spelling ftmdpi:oai:mdpi.com:/2072-4292/12/13/2090/ 2023-08-20T04:08:18+02:00 Sea Level Variability in the Red Sea: A Persistent East–West Pattern Cheriyeri Abdulla Abdullah Al-Subhi 2020-06-30 application/pdf https://doi.org/10.3390/rs12132090 EN eng Multidisciplinary Digital Publishing Institute Biogeosciences Remote Sensing https://dx.doi.org/10.3390/rs12132090 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 12; Issue 13; Pages: 2090 satellite altimetry sea level anomaly El-Nino Southern Oscillation Indian Ocean Dipole North Atlantic Oscillation Red Sea Text 2020 ftmdpi https://doi.org/10.3390/rs12132090 2023-07-31T23:42:35Z Based on 26 years of satellite altimetry, this study reveals the presence of a persistent east–west pattern in the sea level of the Red Sea, which is visible throughout the years when considering the east–west difference in sea level. This eastern–western (EW) difference is positive during winter when a higher sea level is observed at the eastern coast of the Red Sea and the opposite occurs during summer. May and October are transition months that show a mixed pattern in the sea level difference. The EW difference in the southern Red Sea has a slightly higher range compared to that of the northern region during summer, by an average of 0.2 cm. Wavelet analysis shows a significant annual cycle along with other signals of lower magnitude for both the northern and southern Red Sea. Removing the annual cycle reveals two energy peaks with periodicities of <12 months and 3–7 years, representing the intraseasonal and El Nino—Southern Oscillation (ENSO) signals, respectively. Empirical Orthogonal Function (EOF) analysis shows that EOF1 corresponds to 98% of total variability, EOF2 to 1.3%, and EOF3 to 0.4%. The remote response of ENSO is evident in the variability in the atmospheric bridge, while that of the Indian Ocean Dipole (IOD) and North Atlantic Oscillation (NAO) is weak. Three physical mechanisms are responsible for the occurrence of this EW difference phenomenon, namely wind, buoyancy, and the polarity of eddies. Text North Atlantic North Atlantic oscillation MDPI Open Access Publishing Indian Remote Sensing 12 13 2090
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic satellite altimetry
sea level anomaly
El-Nino Southern Oscillation
Indian Ocean Dipole
North Atlantic Oscillation
Red Sea
spellingShingle satellite altimetry
sea level anomaly
El-Nino Southern Oscillation
Indian Ocean Dipole
North Atlantic Oscillation
Red Sea
Cheriyeri Abdulla
Abdullah Al-Subhi
Sea Level Variability in the Red Sea: A Persistent East–West Pattern
topic_facet satellite altimetry
sea level anomaly
El-Nino Southern Oscillation
Indian Ocean Dipole
North Atlantic Oscillation
Red Sea
description Based on 26 years of satellite altimetry, this study reveals the presence of a persistent east–west pattern in the sea level of the Red Sea, which is visible throughout the years when considering the east–west difference in sea level. This eastern–western (EW) difference is positive during winter when a higher sea level is observed at the eastern coast of the Red Sea and the opposite occurs during summer. May and October are transition months that show a mixed pattern in the sea level difference. The EW difference in the southern Red Sea has a slightly higher range compared to that of the northern region during summer, by an average of 0.2 cm. Wavelet analysis shows a significant annual cycle along with other signals of lower magnitude for both the northern and southern Red Sea. Removing the annual cycle reveals two energy peaks with periodicities of <12 months and 3–7 years, representing the intraseasonal and El Nino—Southern Oscillation (ENSO) signals, respectively. Empirical Orthogonal Function (EOF) analysis shows that EOF1 corresponds to 98% of total variability, EOF2 to 1.3%, and EOF3 to 0.4%. The remote response of ENSO is evident in the variability in the atmospheric bridge, while that of the Indian Ocean Dipole (IOD) and North Atlantic Oscillation (NAO) is weak. Three physical mechanisms are responsible for the occurrence of this EW difference phenomenon, namely wind, buoyancy, and the polarity of eddies.
format Text
author Cheriyeri Abdulla
Abdullah Al-Subhi
author_facet Cheriyeri Abdulla
Abdullah Al-Subhi
author_sort Cheriyeri Abdulla
title Sea Level Variability in the Red Sea: A Persistent East–West Pattern
title_short Sea Level Variability in the Red Sea: A Persistent East–West Pattern
title_full Sea Level Variability in the Red Sea: A Persistent East–West Pattern
title_fullStr Sea Level Variability in the Red Sea: A Persistent East–West Pattern
title_full_unstemmed Sea Level Variability in the Red Sea: A Persistent East–West Pattern
title_sort sea level variability in the red sea: a persistent east–west pattern
publisher Multidisciplinary Digital Publishing Institute
publishDate 2020
url https://doi.org/10.3390/rs12132090
geographic Indian
geographic_facet Indian
genre North Atlantic
North Atlantic oscillation
genre_facet North Atlantic
North Atlantic oscillation
op_source Remote Sensing; Volume 12; Issue 13; Pages: 2090
op_relation Biogeosciences Remote Sensing
https://dx.doi.org/10.3390/rs12132090
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/rs12132090
container_title Remote Sensing
container_volume 12
container_issue 13
container_start_page 2090
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