Quote from dcraig:
1) The civil engineering example is interesting because civil or mechanical engineers do NOT have complete knowledge of their designs in the sense that a set of equations can be written down and solved analytically. It is just not possible. They use approximations through modeling that is based on physical principles and the supporting mathematics. One example is finite element analysis which is somewhat like climate modeling in that the system is broken down into a (large but finite) number of pieces and their interactions calculated based on physical principles. It cannot be 100% correct, but it is in general very successful in predicting the future of the structure if properly used. Which is one of the reasons for safety factors.
Making this a bit more abstract, it is true that most of science and engineering relies on incomplete models that are not "100%" correct. Here is a very simple example. In a vacuum, if you drop something then you can solve the equation of motion analytically. But moving onto something just a little more complicated (though seemingly simple) and it can't be done. The famous three body problem - sun, earth and moon. Nobody has been able to provide a general analytic solution to the equations of motion. If you want to find out where they are sometime in the future you need a model which will give you an approximation. The model will not be 100% correct but some models will be better than others as I proved conclusively by my feeble attempt as a physics student trying to write a FORTRAN program for a such a model.
The point of this is that most of nature can only be modeled. And a lot of science is modeling.
2a) First of all predictions do not need 100% certainty to be useful, and models do not need complete knowledge to provide useful approximations. 2b) Any individual climate model is certainly fair game as a subject for criticism but the assertion that climate cannot be modeled to produce useful forecasts is wholly unsubstantiated. The analogy with predicting price in financial markets is misplaced because we really have very few (if any) well know quantifiable principles to base models on. A bit of hand waving about supply and demand doesn't really cut it. On the other hand there is a lot of physical principles known to a large degree of certainty that are used in formulating climate models.
3) In the absence of mathematical proofs, the weight of evidence supports AGW. It is a fact that temperature is rising. So what has changed? What is causing the change? Solar irradience change - no. Cosmic rays?- no? CO2 change? - yes. Could CO2 have this effect - yes. That CO2 is a greenhouse gas is as certain as that gravity is a force of nature. Could there be other factors ( some strong negative feedback) that counteracts the warming effect of CO2? It seems possible that there might be. So how do we investigate - we build climate models based on physical principles to better understand the changes. What do they tell us - there are feedbacks both positive and negative, but the best science available suggests on balance positive. As far as we can test these models they do quite well. Do observations support the CO2 hypothesis? yes - there is currently a measured inbalance between energy received from the sun and energy radiated off into space and an enhanced green house effect is by far the best explanation. There really is an awful lot of evidence for AGW. And weight of evidence is the only sensible thing to base a judgement on.
You can find a brief and informative discussion about CO2 lag/lead temperature here:
http://www.skepticalscience.com/Why-does-CO2-lag-temperature.html
As a general comment, I would add that there is no basic physical principle that says CO2 leads or lags temperature. If there were, then it would be a powerful argument -but there isn't. Detailed research is needed as to the current factors driving climate change. Large scale human activity adds the new factor.
1) I believe you and take your word for it, as it is rational to me. The motion example you gave is also interesting, I didn't know
that.
2a) I agree with this as well.
2b) Disagree here, where is the evidence of useful forecasts? I am completely serious, if they are so accurate then I would like to see the forecasts and the results in order for me to believe in said "usefulness". If these results exist then there could not be any dispute whatsoever, which is why I doubt their existence. Also, that same model would have to remain unaltered, otherwise well... I'm sure u can see the problems that would arise if it were to change (something like curve fitting comes to mind).
3) I am not denying anything in this argument. I do have a major problem however; "In the absence of mathematical proofs" is an issue for me. Basing models on assumptions... is flawed, at least flawed enough for anyone rational to not believe in the model's predictions without question. Basing predictions on the weight of evidence is fine and logical, but let's not pretend it is anywhere close to accurate. I believe the market analogy is much more relevant this time around, for example most people knew the real estate market was overvalued (in specific areas if u lived there), long (years) before the crash. However very few people predicted it with anything even close to resembling accuracy, including myself.
Another issue is the CO2 lag/lead, even that article does not fully explain it, and admits as much in this sentence "The exact mechanism of how the deep ocean gives up its CO2 is not fully understood but believed to be related to vertical ocean mixing".
I know that u are more knowledgeable than I am on the subject, so I would simply like for u to give me your opinion of the chart posted earlier on the same skeptical science website, of the sun's output. IMO it is extremely flawed and essentially worthless, yet it has been touted as "overwhelming evidence" in this thread.
BTW I agree that the weight of evidence supports global warming. However, I 99% disagree that it can/is being predicted accurately, and most importantly that the consequences of it are as dire as some would have us believe. In other words, I am entirely indifferent to it, and I think that any logical person would never even consider to give up their profession/business/hobby etc, over a prediction of the future. And CaptainObvious articulated why "predicting" day and night is not quite the same as predicting the future, much better than I did.