Presenter: siva sanikommu (King Abdullah University of Science and Technology)

Description:
A 20-year (2001-2020) eddy resolving reanalysis is generated for the Red Sea by assimilating satellite and in situ observations of sea surface temperature, sea surface height, ocean temperature and salinity profiles into a 4 km Massachusetts Institute of Technology general circulation model (MITgcm). The assimilation is performed using a Hybrid system combining a monthly varying quasi-static ensemble and a flow-dependent ensemble from the ensemble adjustment Kalman filter (EAKF) of the Data Assimilation Research Testbed (DART). The flow-dependent ensemble integrates 50 different MITgcms to account for uncertainties in initial conditions, model physics, and atmospheric forcing. The system is forced with 50-member atmospheric ensemble from the European Center for Medium Range Weather Forecast (ECMWF) available at 50 km every 6 hours, and open boundary conditions from the Mercator ocean reanalysis. The generated reanalysis is compared against available global ocean reanalyses products to show its relevance. This high resolution long-term reanalysis of the Red Sea is important not only for exploring the circulation of this historically sparsely observed basin, but to also deepen our understanding of its biological processes.