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

Authors:
Juan M. Corchado;Jim Aiken;Emilio S. Corchado;Florentino Fdez-Riverola
Affiliations:
Departamento de Informática y Automática, Universidad de Salamanca, Plaza de la Merced s/n. 37008, Salamanca, Spain E-mail: corchado@usal.es (Corresp.);Centre for Air-Sea Interactions and fluxes (CASIX), Plymouth Marine Laboratory, Prospect Place, Plymouth, PL1 3 DH, UK E-mail: ja@pml.ac.uk;Departamento de Ingeniería Civil, Universidad de Burgos, C/ Francisco de Victoria s/n. 09006, Burgos, Spain E-mail: escorchado@ubu.es;Departamento de Informática, Universidad de Vigo, Campus Universitario As Lagoas s/n. 32004, Ourense, Spain E-mail: riverola@uvigo.es
Venue:
AI Communications - Binding Environmental Sciences and AI
Year:
2005

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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 CO 2 has a moderating influence. By improving accuracy in the quantification of the ocean's CO 2 budget, a more precise estimation can be made of the terrestrial fraction of global CO 2 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 CO 2 budget. This paper reviews the problem of measuring the ocean's CO 2 budget, presents the model developed to resolve it and presents the obtained results.