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Predictions of future climate are based on elaborate numerical computer models. As computational capacity increases and better observations become available, one would expect the model predictions to become more reliable. However, are they really improving, and how do we know? This paper discusses how current climate models are evaluated, why and where scientists have confidence in their models, how uncertainty in predictions can be quantified, and why models often tend to converge on what wedoi:10.1098/rsta.2008.0169 pmid:18818153 fatcat:cwfoxckwxzf4zbxlf22oftd3xa