There is no longer any debate...it is unequivocal...it is indisputable...the IPCC and major climate agencies continue to utilize computer climate models that can't predict squat.....
As the "experts" climate models prediction failures widen while we get deeper into the 21st century, it behooves policymakers and the public to acknowledge that CO2-centric climate models are neither reliable, nor very helpful for policy making.
These gigantic black holes of research dollars essentially suck huge research monies from other scientific fields, while at the same time never being held accountable for their well documented failures.
In contrast, scientists pursuing other avenues of climate research have developed low-cost climate models - not based on the mind-numbing orthodoxy of CO2-alarmism - that are proving to be gigantic improvements over the consensus, high-cost models.
Adjacent is one such model. Clearly, this non-CO2 driven model has performed spectacularly, in a relative fashion, during the period that NASA, NOAA and IPCC models have been abysmal.
At its most essential, Dr. N. Scafetta's model is driven by the oscillations and cycles of influence that exist between Earth, the Moon, the Sun and other solar system planets. The tug, push and pull amongst these various annual, decadal and millennial oscillations/cycles ultimately has an impact on global climate.
By identifying the attributes and periodicity of these oscillations, a 'harmonic' model can be constructed to better predict long-term where the global climate is headed. As can be seen, this harmonic model appears to have a lot more explanatory power regarding the climate versus the traditional (wildly expensive) alarmist computer simulations.
More on Duke University's Scafetta (a man with some 70+ scientific papers to his name) and his harmonic model can be found here.
Previous climate-model articles.
Note: Scafetta's model chart has been updated with an estimated June 2014 HadCRUT3 global temperature anomaly. HC3 estimate was based on recent HC4 June 2014 anomaly.