Research opportunities exist within a project called ECCO2 ()that aims to produce increasingly accurate syntheses of the available global-ocean and sea-ice data at resolutions that start to resolve ocean eddies and other narrow current systems. ECCO2 data syntheses are being obtained via the least-squares fit of global-ocean and sea-ice configurations of the Massachusetts Institute of Technology general circulation model to the available satellite and in-situ data. These data syntheses aim to increase understanding and predictive capability for the oceans role in future climate change scenarios, for example, to better quantify the role of the oceans in the global carbon cycle, to understand the recent evolution of the polar oceans, and to monitor the time-evolving term balances within and between different components of the Earth system. Research opportunities exist both in the development and in the utilization of these global-ocean and sea-ice data syntheses.D. Menemenlis, I. Fukumori, and T. Lee, 2005. Using Greens functions to calibrate an ocean general circulation model. Mon. Weather Rev., vol. 133, pages 1.D. Menemenlis et al., 2005. NASA supercomputer improves prospects for ocean climate research. Eos, vol. 86, pages 89, 95-96.
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