The Forum > Article Comments > Climate change denial > Comments
Climate change denial : Comments
By Clive Hamilton, published 3/5/2007Most Australians are no longer in a state of denial: they are facing up to the truth about global warming.
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The greenhouse effect, proposed by Fourier is 1824, advanced by Arrhenius in 1896, is well accepted and is not denied by any climate change contrarians, from Lindzen to Singer. The effect that CO2 is opaque to IR-radiation is confirmed, completely, by quantum mechanics and atomic spectroscopy. Now, increasing the presence of heat trapping gas in the atmosphere, funnily enough, traps more heat in the atmosphere. This effects change in the atmosphere. This has been confirmed by the paleo-record, seasonal variations, and the fact that the Earth is not 255K.
To quote the climate change denier Pat Micheals:
“Scientists know quite precisely how much the planet will warm in the foreseeable future, a modest three-quarters of a degree (C) [in 50 years”
While is disagree with Micheals assessment (he neglects feedbacks and), even the great deniers don’t doubt that increasing CO2 emissions affects temperature. They generally dispute how much.
I stand by my statement. It has nothing to do with “models”. It has all to do with basic physics.
Perseus.
It is becoming clear that you’ve not read the relevant literature. For example:
“These models are routinely run while leaving out one of the main climate "forcing" agents, like water vapour, CO2, clouds, methane etc to assess the significance of each in the scheme of things.”
They are only run in isolation to assess sensitivities. As for predictions, CAOGCMS are run with a full suite of variables. I’ve never heard of, read or noticed “overheating”. Any model run that generated the results you specify would be rejected.
This is all contained in chapters 8 and 10 of the FAR, that is available for download at www.ipcc.ch . There is lots to criticise models on contained there in. Your example is not one of them.
I’ll be fair though and say I would not put a great deal of confidence in model outputs after, say, 100 years.