Twenty-three Climate Models Can't Be Wrong ... Or Can They?
Steinhaeuser, K. and Tsonis, A.A. 2014. A climate model intercomparison at the dynamics level. Climate Dynamics 42: 1665-1670.
In the words of Steinhaeuser and Tsonis, the results indicate (1) "the models are in significant disagreement when it comes to their SLP, SAT, and precipitation community structure," (2) "none of the models comes close to the community structure of the actual observations," (3) "not only do the models not agree well with each other, they do not agree with reality," (4) "the models are not capable to simulate the spatial structure of the temperature, sea level pressure, and precipitation field in a reliable and consistent way," and (5) "no model or models emerge as superior."
In light of their several sad findings, the team of two suggests "maybe the time has come to correct this modeling Babel and to seek a consensus climate model by developing methods which will combine ingredients from several models or a supermodel made up of a network of different models." But with all of the models they tested proving to be incapable of replicating any of the tested aspects of past reality, even this approach would not appear to have any promise of success.