The effect of atmospheric CO2 on the climate is oversestimated by models. Reality does not conform to models with multiple assumptions.
"Abstract: The sensitivity of the climate system to an imposed radiative imbalance remains
the largest source of uncertainty in projections of future anthropogenic climate change.
Here we present further evidence that this uncertainty from an observational perspective is
largely due to the masking of the radiative feedback signal by internal radiative forcing,
probably due to natural cloud variations. That these internal radiative forcings exist and
likely corrupt feedback diagnosis is demonstrated with lag regression analysis of satellite
and coupled climate model data, interpreted with a simple forcing-feedback model. While
the satellite-based metrics for the period 2000–2010 depart substantially in the direction of
lower climate sensitivity from those similarly computed from coupled climate models, we
find that, with traditional methods, it is not possible to accurately quantify this discrepancy
in terms of the feedbacks which determine climate sensitivity. It is concluded that
atmospheric feedback diagnosis of the climate system remains an unsolved problem, due
primarily to the inability to distinguish between radiative forcing and radiative feedback in
satellite radiative budget observations."
http://www.mdpi.com/2072-4292/3/8/1603/pdf(peer reviewed science journal)
Meaning?
Applied to long-term climate change, the research might indicate that the climate is less sensitive to warming due to increased carbon dioxide concentrations in the atmosphere than climate modelers have theorized. A major underpinning of global warming theory is that the slight warming caused by enhanced greenhouse gases should change cloud cover in ways that cause additional warming, which would be a positive feedback cycle.
Instead, the natural ebb and flow of clouds, solar radiation, heat rising from the oceans and a myriad of other factors added to the different time lags in which they impact the atmosphere might make it impossible to isolate or accurately identify which piece of Earth’s changing climate is feedback from manmade greenhouse gases.
“There are simply too many variables to reliably gauge the right number for that,” Spencer said. “The main finding from this research is that there is no solution to the problem of measuring atmospheric feedback, due mostly to our inability to distinguish between radiative forcing and radiative feedback in our observations.”
http://pielkeclimatesci.wordpress.com/2011/07/26/new-paper-on-the-misdiagnosis-o...SO the models are unreliable. The settled science is unsettled: forcing and feedback are understood in theory but not distinguishable in practice.
As I dared to say repeatedly, the climate is far too complex and our knowledge of how it works in practice is too limited.