An IBR System to Quantify the Ocean’s Carbon Dioxide Budget

  • Juan M. Corchado
  • Emilio S. Corchado
  • Jim Aiken
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3275)


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 carbon dioxide has a moderating influence. By improving accuracy in the quantification of the ocean’s carbon dioxide budget, a more precise estimation can be made of the terrestrial fraction of global carbon dioxide budget and its subsequent effect on climate change. First steps have been taken towards this from an environmental and economic point of view, by using an instance based reasoning system, which incorporates a novel clustering and retrieval method. This paper reviews the problems of measuring the ocean’s carbon dioxide budget and presents the model developed to resolve them.


Radial Basis Function Neural Network Radial Basis Function Network Atmospheric Carbon Dioxide Projection Pursuit Artificial Intelligence Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Juan M. Corchado
    • 1
  • Emilio S. Corchado
    • 2
  • Jim Aiken
    • 3
  1. 1.Departamento Informática y AutomáticaUniversidad de SalamancaSalamancaSpain
  2. 2.Departamento de Ingeniería Civil, Escuela Politécnica SuperiorUniversidad de BurgosBurgosSpain
  3. 3.Plymouth Marine LaboratoryCentre for Air-Sea Interactions and fluxes (CASIX)PlymouthUK

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