Physics and Society, in its July 2008 quarterly edition, has published a paper by Christopher Monckton entitled Climate Sensitivity Reconsidered, which exposes the IPCC’s strange method of calculating the effect of CO2 on temperature and suggests that in response to a CO2 doubling global temperature may rise by as little as 0.6 C.
Abstract:
The Intergovernmental Panel on Climate Change (IPCC, 2007) concluded that anthropogenic CO2 emissions probably caused more than half of the “global warming” of the past 50 years and would cause further rapid warming. However, global mean surface temperature has not risen since 1998 and may have fallen since late 2001. The present analysis suggests that the failure of the IPCC’s models to predict this and many other climatic phenomena arises from defects in its evaluation of the three factors whose product is climate sensitivity:
1. Radiative forcing ΔF;
2. The no-feedbacks climate sensitivity parameter κ; and
3. The feedback multiplier ƒ.
Some reasons why the IPCC’s estimates may be excessive and unsafe are explained. More importantly, the conclusion is that, perhaps, there is no “climate crisis”, and that currently-fashionable efforts by governments to reduce anthropogenic CO2 emissions are pointless, may be ill-conceived, and could even be harmful.
Physics & Society: July 2008, Volume 37, Number 3
Full Paper at http://www.aps.org/units/fps/newsletters/200807/monckton.cfm
Physics and Society is the quarterly of the Forum on Physics and Society, a division of the American Physical Society. It presents letters, commentary, book reviews and reviewed articles on the relations of physics and the physics community to government and society. It also carries news of the Forum and provides a medium for Forum members to exchange ideas. Opinions expressed are those of the authors alone and do not necessarily reflect the views of the APS or of the Forum.

Jennifer Marohasy BSc PhD has worked in industry and government. She is currently researching a novel technique for long-range weather forecasting funded by the B. Macfie Family Foundation.