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Research presented at the American Geophysical Union this week.
The problem of divergence between climate model predictions and reality is reviewed. The authors show that the models relied on by the IPCC missed reality by a significant margin:
If they use models with lower sensitivity then it's tantamount to admitting that catestrophic global warming isn't going to happen, and there is no reason for the billion dollar climate science industry to exist. They'd rather stick a hot poker in their eyes than do that. So, the nonsense will go on.
The problem of divergence between climate model predictions and reality is reviewed. The authors show that the models relied on by the IPCC missed reality by a significant margin:
We conclude that at the global scale, this suite of climate models has failed. Treating them as mathematical hypotheses, which they are, means that it is the duty of scientists to, unfortunately, reject their predictions in lieu of those with a lower climate sensitivity.
Unless (or until) the collection of climate models can be demonstrated to accurately capture observed characteristics of known climate changes, policymakers should avoid basing any decisions upon projections made from them. Further, those policies which have already be established using projections from these climate models should be revisited.
If they use models with lower sensitivity then it's tantamount to admitting that catestrophic global warming isn't going to happen, and there is no reason for the billion dollar climate science industry to exist. They'd rather stick a hot poker in their eyes than do that. So, the nonsense will go on.