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the assimilation of paleoclimate data in order to offer the best compromise between different scientific objectives for representing the climate and its variability, particularly in tropical areas. · Contribute
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in the Earth's outer core, with implications for deep Earth processes [1]. A variety of inverse methods (data assimilation, machine learning, etc.) has been employed to recover the fluid motions in
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