Thursday, April 23, 2015

Climate Models provably wrong

Good statistical analysis of the implications of the failure of the climate models to predict the "hiatus" - the last nearly 20 years of zero global warming:
We also know that the integrated assessment climate models (IAMs) are deterministic physical models of the climate with built in predetermined physical cause and effect structures. We can say they are wrong based on their ability to explain the data (facts) during this hiatus.

Nevertheless, the lousy R squared³ and apparent zero “fit” does allow us to conclude that during the hiatus, the assumption that CO2 is the major thing driving global mean temperature is not just a lousy hypothesis, it’s wrong and unsupported by the data (fact). We can also say that all of the variability (scatter) in the data is due to “not CO2.”

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