Unraveling Climatic Wind and Wave Trends in the Red Sea Using Wave Spectra Partitioning
KAUST DepartmentBeacon Development Company
Biological and Environmental Sciences and Engineering (BESE) Division
Earth Fluid Modeling and Prediction Group
Earth Science and Engineering Program
Physical Science and Engineering (PSE) Division
Red Sea Research Center (RSRC)
KAUST Grant NumberRGC/3/1612-01-01
Online Publication Date2017-12-27
Print Publication Date2018-03
Permanent link to this recordhttp://hdl.handle.net/10754/626772
MetadataShow full item record
AbstractThe wind and wave climatology of the Red Sea is derived from a validated 30-year high-resolution model simulation. After describing the relevant features of the basin, the main wind and wave systems are identified by using an innovative spectral partition technique to explain their genesis and characteristics. In the northern part of the sea, wind and waves of the same intensity are present throughout the year, while the central and southern zones are characterized by a marked seasonality. The partition technique allows the association of a general decrease in the energy of the different wave systems with a specific weather pattern. The most intense decrease is found in the northern storms, which are associated with meteorological pulses from the Mediterranean Sea.
CitationLangodan S, Cavaleri L, Pomaro A, Portilla J, Abualnaja Y, et al. (2017) Unraveling Climatic Wind and Wave Trends in the Red Sea Using Wave Spectra Partitioning. Journal of Climate. Available: http://dx.doi.org/10.1175/jcli-d-17-0295.1.
SponsorsThe research reported in this publication was supported by funding from King Abdullah University of Science and Technology (KAUST). It also made use of the Supercomputing Laboratory and computer clusters at KAUST. Sabique Langodan was supported by the General Commission of Survey (GCS), under a project number RGC/3/1612-01-01 made by Office of Sponsored research (ORS)/KAUST, Kingdom of Saudi Arabia. Luigi Cavaleri was partly supported by KAUST during his visits for research collaboration and, together with Angela Pomaro, by the E.U. contract 730030 (H2020-EO-2016, “CEASELESS”). Three anonymous reviewers and the editor, Oleg A. Saenko, provided valuable suggestions leading to an improvement of the paper.
PublisherAmerican Meteorological Society
JournalJournal of Climate