Abstract
Any theoretical treatment of a problem concerning our environment, such as our present concern, namely that of deducing the parameterization of an ocean-carbon model by inverse methods, must be based on some kind of model. In reality of course, the natural phenomena are so complex and our data so few that all such problems are indeterminate (i.e. have more than one solution that is consistent with the data). However, only by adopting models, and thereby, by definition, imposing a reduction on the complexity of reality do overdetermined systems arise, and also only by adoption of models can we hope to make efficient use of the available data and information. It is obvious that whether or not the results will be of interest depends on how well our model captures the essence of the phenomena in nature which it seeks to describe.
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© 1989 Kluwer Academic Publishers
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Moore, B., Bolin, B., Björkström, A., Holmén, K., Ringo, C. (1989). Ocean Carbon Models and Inverse Methods. In: Anderson, D.L.T., Willebrand, J. (eds) Oceanic Circulation Models: Combining Data and Dynamics. NATO ASI Series, vol 284. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-1013-3_13
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DOI: https://doi.org/10.1007/978-94-009-1013-3_13
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