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The climate is an incredibly complex and chaotic "system" that has billions, if not trillions, of annual/decade/century inputs that affect Earth's climate. In addition, scientists have little understanding of both the major and minor factors that impact climate; and, the climate modelers can only guess how all these factors and inputs interact. For example, one would think that the CO2 climate's sensitivity factor would be "settled" science but nothing is further from the truth. The IPCC employs some 20 climate models created by different groups of scientists and all these models differ in the climate sensitivity to CO2 factor utilized. Or, how about the "missing CO2"? Again, you'd think if the climate science is settled and the climate modelers were on top of their game they would make sure the climate models knew where all the human CO2 was going, right? Unfortunately, the climate models have no idea where at least 50% of human CO2 goes to, which if you think about it, makes predictions about climate change due to CO2 just about impossible to accomplish with any accuracy.
What other major problems (short-comings) do climate models have that cause the frequent and embarrassing climate prediction failures? What major 'climate influencers' (factors) are the models poorly representing? The chart below list 50 major 'climate influencer' problems, which represents only the tip of the climate model failure iceberg. So, is the IPCC the new Titanic about to be done in by the failure iceberg?
(Note: If C3 readers believe we missed other major problems with climate models, send your thoughts to "c3headlines" AT "mail.com". If we get enough submissions, we'll add a third 'problem' panel to chart.)