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Bayesian Structure Learning for Climate Model Evaluation

Abstract A Bayesian structure learning approach is employed to compare and contrast interactions between the major climate teleconnections over the recent past as revealed in reanalyses and climate model simulations from leading Meteorological Centers. In a previous study, the authors demonstrated a...

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Hlavní autoři: Terence J. O'Kane, Dylan Harries, Mark A. Collier
Médium: Artigo
Jazyk:Inglês
Vydáno: American Geophysical Union (AGU) 2024-05-01
Edice:Journal of Advances in Modeling Earth Systems
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On-line přístup:https://doi.org/10.1029/2023MS004034
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