KAUST DepartmentRed Sea Research Center (RSRC)
Biological and Environmental Sciences and Engineering (BESE) Division
Online Publication Date2018-09-27
Print Publication Date2018-11
Permanent link to this recordhttp://hdl.handle.net/10754/629964
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AbstractThe variations of sea level over the Red Sea may be divided into three broad categories: tidal, seasonal and weather-band. Our study employs a variety of in situ and satellite-derived data in the first comprehensive examination of the Red Sea water level variations in the weather-band (covering periods of [Formula presented] 4–30 days). In the central Red Sea, the range of the weather-band sea level signal is of order 0.7 m, which exceeds the tidal and seasonal sea level ranges. From EOF and correlation analysis, we find that a large fraction of the weather-band sea level variation is due to a single mode of motion that extends over the entire Red Sea. In this mode, the water level rises and falls in unison with an amplitude that declines going southward over the southern Red Sea. The temporal signal of this mode is highly correlated with the along-axis surface wind stress over the southern Red Sea, and is closely reproduced by a simple one-dimensional barotropic model with forcing by the along-axis wind stress. Although this model does not account for the full suite of dynamics affecting weather-band sea level variations in the Red Sea, it may serve as a useful predictive tool. Sea level changes associated with the development and movement of sub-mesoscale features (e.g., eddies and boundary currents) are also shown to contribute to weather-band sea level motions in the Red Sea.
CitationChurchill JH, Abualnaja Y, Limeburner R, Nellayaputhenpeedika M (2018) The dynamics of weather-band sea level variations in the Red Sea. Regional Studies in Marine Science 24: 336–342. Available: http://dx.doi.org/10.1016/j.rsma.2018.09.006.
SponsorsFor their support in maintaining the array of pressure sensors, the data from which were critical for our study, the authors thank personnel of the Coastal and Marine Resources Core Lab of King Abdullah University of Sciences and Technology (KAUST), especially Haitham Jahdali and Ramzi Jahdaali, as well as Yasser Kattan (KAUST) and Sean Whelan of the Woods Hole Oceanographic Institution (WHOI). The pressure sensor and meteorological buoy data were acquired as part of a program supported by Award Nos. USA00001, USA00002 and KSA00011 made by KAUST to WHOI. The data analysis and modeling work of this study were supported General Commission for Survey (GCS), under a project number RGC/3/1612-01-01 made by Office of Sponsored research (ORS)/KAUST, Kingdom of Saudi Arabia.
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