Projection of future climate change conditions using IPCC simulations, neural networks and Bayesian statistics. Part 2: Precipitation mean state and seasonal cycle in South America

Evaluating the response of climate to greenhouse gas forcing is a major objective of the climate community, and the use of large ensemble of simulations is considered as a significant step toward that goal. The present paper thus discusses a new methodology based on neural network to mix ensemble of...

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Detalles Bibliográficos
Autores principales:	Martínez, Fernando Luis, Segura, Enrique Carlos
Publicado:	2007
Materias:	Bayesian analysis climate change climate conditions climate forcing climate modeling greenhouse gas precipitation (climatology) simulation transfer function twenty first century
Acceso en línea:	https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_09307575_v28_n2-3_p255_Boulanger http://hdl.handle.net/20.500.12110/paper_09307575_v28_n2-3_p255_Boulanger
Aporte de:	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

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