KAUST DepartmentBeacon Development Company
Earth Fluid Modeling and Prediction Group
Earth Science and Engineering Program
Physical Science and Engineering (PSE) Division
Online Publication Date2018-11-19
Print Publication Date2018-11
Permanent link to this recordhttp://hdl.handle.net/10754/629489
MetadataShow full item record
AbstractAdjoint sensitivity analysis are applied to a set of eddies in the Red Sea using a high-resolution MITgcm and its adjoint model. Previous studies have reported several eddy events in the Red Sea, namely, a dipole captured on August 17, 2001 in the southern Red Sea, a cyclonic eddy (CE) in November 2011 in the northern Red Sea, and an anticyclonic eddy (AE) in April 2010 in the central Red Sea. Sensitivity analysis is applied here to investigate the governing factors that control the intensity and evolution of these eddies. The eddies are first reproduced by running the MITgcm forward and their sensitivities to external atmospheric forcing and previous model states are then computed using the adjoint model. In the experiments, (relative) surface vorticity (curl of horizontal velocity) are defined as the objective function. The contributions of forcings and model states are quantified and investigated. The sensitivities to external forcings are distinct in different eddy events. The dipole in the central Red Sea is dominantly sensitive to the cross-basin eastward wind jet. The AE in the central Red Sea is most sensitive to the along-basin wind stress. The CE in the northern Red Sea is sensitive to the net heat flux and to surface elevation perturbations even from the remote southern Red Sea, which is attributed to the propagation of baroclinic Kelvin waves along the coast. Analysis of the sensitivity to model state variables suggests that these eddies are also modulated by the boundary currents and the temperature profile distributions.
CitationZhan P, Gopalakrishnan G, Subramanian AC, Guo D, Hoteit I (2018) Sensitivity Studies of the Red Sea Eddies Using Adjoint Method. Journal of Geophysical Research: Oceans. Available: http://dx.doi.org/10.1029/2018jc014531.
SponsorsThe topography data is derived from General Bathymetric Chart of the Oceans (GEBCO: https://www.gebco.net/). The open boundary conditions are extracted from the Estimating the Circulation and Climate of the Ocean (ECCO) product (https://ecco.jpl.nasa.gov/products/). The data supporting the analysis presented here can be found at Figshare (https://figshare.com/articles/Data for 2018JC014531R/7243184/). The research reported in this manuscript is supported by King Abdullah University of Science and Technology (KAUST) and made use of the resources of the Supercomputing Laboratory and computer clusters at KAUST.
PublisherAmerican Geophysical Union (AGU)