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Politics : New FADG. -- Ignore unavailable to you. Want to Upgrade?


To: neolib who wrote (1598)6/10/2007 11:46:19 PM
From: Nadine CarrollRead Replies (1) | Respond to of 4152
 
Predictably we differ there. The problem is that global warming has a very large integral term, which is a problem.

Future generations are going to look at this leadership like historians today look at the Rennaissance Popes, I'm convinced of it. An amazing exercise in folly.

I agree, but I'd say mostly for environmental reasons, not politics.


When I look at global warming, a see a "consensus of scientists" instead of scientific proof, a crowd of do-gooders jumping on the bandwagon, a host of politicians looking to expand their powers, and a global media bulldozer labelling any doubters as heretics and holocaust deniers.

What I am reminded of, very strongly, is the state of eugenics a hundred years ago. Scientific consensus? Check. Do-gooders? Check, including Maragaret Sanger of Planned Parenthood fame. Politicians? Check and double check - a scientific reason to keep out the riff-raff, excellent! Media bulldozer? You got it, in all the best newspapers of the day.

And what came of the consensus for eugenics, we know.

I will end with a Q&A from an interview with the respected physicist Freeman Dyson, who has been paying close attention to the global warming problem since long before it became fashionable:

W. M. Schaffer [scipio_a@ix.netcom.com]: The Devil being often in the details, it would be useful to non-climate modelers if Professor Dyson could elaborate on the following assertion: "Concerning the climate models, I know enough of the details to be sure that they are unreliable. They are full of fudge factors that are fitted to the existing climate, so the models more or less agree with the observed data. But there is no reason to believe that the same fudge factors would give the right behavior in a world with different chemistry, for example in a world with increased CO2 in the atmosphere."

Could Professor Dyson give some examples of the "fudge factors," how they are used / adjusted, etc. Some references would also be useful.

Professionally, I play with models of the mathematical kind and, in fact, would distinguish traditional models from the kitchen-sink (everything but) simulations employed by climate "modelers." My prejudice has long been that they replace a system they don't understand with a model they don't understand.

Freeman Dyson: I am not able to provide details of particular climate models and their deficiencies. Typical examples of fudge factors occur in the treatment of clouds. Each cell of the atmosphere in the model is characterized by a set of numbers which specify the temperature, pressure, density, humidity, wind-velocity, cloudiness, etc. in that cell. Since the cell is much larger than a typical cloud, the "cloudiness" number is only a rough measure of the fraction of the cell that is occupied by clouds. An empirical formula then gives the rate of precipitation in the form of rain or snow for a cell with a given humidity and given cloudiness. The empirical formula contains several coefficients which are fitted to the observations to make the model agree with the existing climate. These coefficients are what I call "fudge-factors". They are not based on a detailed understanding of clouds and rainfall but only on fitting a formula to observations. If now the model is run with enhanced CO2, there is no reason to believe that the same fudge factors will still give the right answers. There are many other fudge factors concerned with processes such as snow-melting and vegetation-growth that cannot be modelled in detail. I agree with the opinion expressed by Schaffer in the last sentence of his fourth paragraph.

DYSON.htm'>http://www.staff.livjm.ac.uk/spsbpeis/Freeman-DYSON.htm