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: Boulanger, J.-P., Martinez, F., Segura, E.C.
Formato: JOUR
Materias:
Bayesian analysis
climate change
climate conditions
climate forcing
climate modeling
greenhouse gas
precipitation (climatology)
simulation
transfer function
twenty first century
Acceso en línea: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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