This research opportunity aims to describe and to understand physical processes governing large-scale global ocean circulation from assimilating satellite observations with models of the ocean. The process of combining data and models, ie, data assimilation, is an emerging area of oceanographic research allowing quantitative synthesis of diverse observations into complete descriptions of the ocean. The study builds on the syntheses of the Consortium for Estimating the Circulation and Climate of the Ocean (ECCO, ). Particular research emphasis is placed on the ocean's seasonal-to-decadal climate variability by analyzing fluxes and budgets of heat and freshwater, circulation pathways, dynamic balances, and causal mechanisms (eg, Fukumori et al., 2015). Research opportunities include analysis of observations and modeling/assimilation results, development and application of advanced data assimilation methods, testing and improving model physics, and investigation of the relative merits of different observing systems.Fukumori, I., O. Wang, W. Llovel, I. Fenty, and G. Forget (2015), A near-uniform fluctuation of ocean bottom pressure and sea level across the deep ocean basins of the Arctic Ocean and the Nordic Seas, Prog Oceanogr, 134, 152-172, doi:10.1016/j.pocean.2015.01.013.
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