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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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Autors principals: Majda, Andrew J., Gershgorin, Boris
Format: Artigo
Idioma:Inglês
Publicat: National Academy of Sciences 2010
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Accés en línia: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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