The problem is in the modeling

climate-change-revisited

Predictions of global warming hinge not upon proven scientific principles but, rather, upon climate models — in other words, computer programs.

Unfortunately, even modern advanced computers appear to be unable to accurately model the complexities of all the diverse natural and human related processes that do or may impact global climate.  Climate Change Reconsidered , the 2009 Report of the Nongovernmental International Panel on Climate Change (NIPCC), states:

The Intergovernmental Panel on Climate Change (IPCC) places great confidence in the ability of general circulation models (GCMs) to simulate future climate and attribute observed climate change to anthropogenic emissions of greenhouse gases. It says “climate models are based on well-established physical principles and have been demonstrated to reproduce observed features of recent climate … and past climate changes … There is considerable confidence that Atmosphere-Ocean General Circulation Models (AOGCMs) provide credible quantitative estimates of future climate change, particularly at continental and larger scales” (IPCC,
2007-I, p. 591).

To be of any validity, GCMs must incorporate all of the many physical, chemical, and biological processes that influence climate in the real world, and they must do so correctly. A review of the scientific literature reveals numerous deficiencies and shortcomings in today’s state-of-the-art models, some of which deficiencies could even alter the sign of projected climate change.

The first chapter of the recently published NIPCC report is “Global Climate Models and Their Limitations

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