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Quantifying uncertainty in climate change science through empirical information theory

Quantifying the uncertainty for the present climate and the predictions of climate change in the suite of imperfect Atmosphere Ocean Science (AOS) computer models is a central issue in climate change science. Here, a systematic approach to these issues with firm mathematical underpinning is develope...

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Detalhes bibliográficos
Main Authors: Majda, Andrew J., Gershgorin, Boris
Formato: Artigo
Idioma:Inglês
Publicado em: National Academy of Sciences 2010
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC2930559/
https://ncbi.nlm.nih.gov/pubmed/20696940
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1007009107
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