Time to Ditch ‘Climate Models?’
By Guest Contributor -May 17, 20220
Share
Guest Post by Steven Hayward
Editor’s Note: Steven Hayward, Ph.D. has long been a thought leader on environmental policy. In this article in The Pipeline, he asks, in the light of their noted inability to get climate projections right, whether it is time to dump the use of climate models. This is an important question and never more timely. As Climate Realism has repeatedly noted, here, here, and here, for example, climate models are notoriously inadequate to the task of accurately reflecting global average temperatures and have repeatedly predicted catastrophic climate trends that have failed to occur. Among other the inherent weaknesses of climate models are their admitted in ability to account for the impacts of, and changes to, either clouds or large scale ocean circulation patterns. In addition, they build in assumptions about various feedback mechanisms that have yet to be verified, and when they have been tested against reality, they fail. Heyward’s analysis is an important contribution to the growing body of literature critiquing climate models and merits reading in full.
From The Pipeline:
Just about every projected environmental catastrophe going back to the population bomb of the late 1960s, the “Club of Rome” and “Global 2000” resource-exhaustion panics of the 1970s, the ozone depletion crisis of the 1980s, and beyond has depended on computer models, all of which turned out to be wrong, sometimes by an order of magnitude. No putative environmental crisis has depended more on computer models than “climate change.” But the age of high confidence in supercomputing and rapidly advancing “big data” analytics, computer climate models have arguably gone in reverse, generating a crisis in the climate-change community.
https://climaterealism.com/2022/05/time-to-ditch-climate-models/
