Evaluating the air–sea interactions and fluxes using an instance-based reasoning system

Abstract

The interaction of the atmosphere and the ocean has a profound effect on climate, while the uptake by the oceans of a major fraction of atmospheric CO₂ has a moderating influence. By improving accuracy in the quantification of the ocean's CO₂ budget, a more precise estimation can be made of the terrestrial fraction of global CO₂ budget and its subsequent effect on climate change. An instance-based reasoning system, which incorporates a novel neural-based clustering and retrieval method has been developed for estimating the CO₂ budget. This paper reviews the problem of measuring the ocean's CO₂ budget, presents the model developed to resolve it and presents the obtained results.