To reiterate: I don't discuss the data because there IS no data for the future.
The data coming from those models IS data, and we can validate (or invalidate) the accuracy of those predictions.
Not to mention the mass amount of data generated looking at current and past climates. And while you can wine about the models all you want, it doesn't change the fact that those data clearly demonstrate that the world is warming.
Models are just that, models. Models! Don't you get it? They are SIMULATIONS. These are FAKE worlds.
And yet they quite accurately model our own. If you don't like computer models then I'd suggest that you stop using vaccines (as many, like the annual flu shot, use genetic models to help predict the next years virus antigenic makeup), computer networks (which are optimized using models of insect behavior, of all things), traffic control (which often relies on computer models to fix traffic issues), anything engineered (computer models are used to test and optimize most products before even one prototype is seen), or anything based on statistics.
At the end of the day, whether you like it or not, computer modeling has become a cornerstone of modern science. The usefulness and power of these models has been validated time and time again.
Once again, going back to my own field of study, the new science of systems biology wherein biochemical pathways (and hopefully whole organisms one day) are modeled in computers has been an amazing tool. By simply entering the known chemical characteristics and known interactions of proteins we've been able to discover missing elements in biochemical pathways, accurately model the effects of certain drug, and even determine the purpose of genes that previously had no known function - all using those models you so readily disparage.
They are not FACT, they do not provide DATA, they have no CERTAINTY.
Wrong, wrong and wrong. The are as factual as the inputs and physics used to create those models. So long as they physics and inputs are correct the models will accurately reflect the real world. If they did not the whole of science would be invalidated, as all of the physics and chemistry we've discovered would be useless if it didn't have predictive value.
Likewise, the results they produce are data. And those data can be compared to real-world data to determine the accuracy of the model, and if the model is found to be deficient, determine where the flaws lie.
Lastly, they do have well-defined certainty; in fact with models you have greater certanty then when working in the real world. The reason for this is simple - you know just how variable your inputs are to start, you know where your input data is weak or missing, and you can manipulate the model across a far greater range then you can often manipulate the real world.
To assume otherwise is religion, not science.
Absolutely incorrect. Models are, and for a long time have been, a cornerstone of science.
Science is not fact collecting like you seem to think. The goal of science is to understand the universe we live in. And the prediction of what the future holds is the epitome of scientific inquest - for accurate prediction means that we understand the underlying science to the point where physical processes can be predicted long in advance.
If I concede that all the current data is perfect (not a reality of course), it still doesn't make the models infallible.
Name one scientific principal based on "perfect" data. There isn't any, so don't bother wasting your time looking for it. Within science we have to deal with variation, randomness and unknown or uncontrollable variables. But none of those invalidate the result - if they did simple things like the computer you are reading this message on would never have existed. After all, computers operate on the basis of QED, which is in of itself the very study of randomness.
I see a lot of "appeal to authority" fallacies here.
Its not a fallacy if the authorities are basing their opinions on hard facts. And pointing out who is on what side does go a long ways towards credibility. Under your rational quoting Einstein in defense of relativity would be wrong as he is an authority, even though he invented the whole science...
Who else to trust? How about the climatologists who DISAGREE with the models. Oh, I know. They are hacks...and besides, we do science by show of hands now. The majority wins.
I never made such a claim, but:
1) Name 5 climatologists who disagree
2) Describe the scientific basis upon which they found their disagreement
I doubt you can achieve that. The scientific literature is lacking on papers showing a lack of a link. If those small number of individuals are correct there should be scientific papers demonstrating no link - i.e. evidence that their claims are true. This simply is not seen.
And that is the whole point that I've been trying to make. Their is a mountain of data supporting a human link. There is little, if any, which "goes against the grain".
When you get down to it, the scientific thing to do is to believe the data.
Some models predict a degree, some say six degrees, rise in the next century. Some say the ocean will rise six inches, some say a foot and a half. If two models can be off by three or four degrees, that suggests that the margin of error is greater than the lowest estimates. In other words, it's possible, when all models are considered, that cooling is within the margin of error!
Err, no. It is difficult to directly compare models in the way you propose for the simple reason that the investigators use different assumptions about what us lowly humans will do - i.e. how much CO2 we'll continue to put out, etc. So unless two models use exactly the same considerations for the human factor you cannot combine their results to calculate errors.
Also, the way in which error is calculated statistically is not how you envision. The discussion of how it is calculated is far too long (and frankly beyond the scope of discussion here) to go into, but the long and short is that even in the case of your example, error would not allow for cooling. If you want more on this you need to read up on the statistics of intra-model error calculation. I can provide citations if you need.
And if one model predicts one degree and another six...HOW CAN THAT BE!
As I said above - different assumptions in human behavior. Likewise there are still some areas under investigation, for which the science isn't completely nailed down. For example, their is some disagreement as to how big an effect positive feedback loops will play. Models which assume "no role" consistently come up with lower degrees of warming then do models which assume a large role. Even so, both forms of models still end up with net warming - the more conservative models just predict less.
These are paragons of accuracy to which we must subvert of lifestyles,
As I've pointed out repetitively on this thread, as have many others, there is no reason to loose our lifestyles. The idea that we have to give up modern life to prevent this is purely a myth, created by the anti-warming crowd, to scaring people into believing what they say.
At the end of the day we can all significantly decrease our CO2 emissions at a net savings to ourselves. I've done it - a >50% reduction, with a net savings to myself. And I live better then I did before - I'm not dropping $200 in gas each month...
The stock market is indeed a legitimate example...there is a wealth of past data regarding its behavior. Yes, it is human activity, but are human market forces more complex than global atmospherics? I think not.
They are not valid examples. The behavior of the climate is entirely determined by well-defined physical laws, and by those laws only. Hence, it is predictable, modelable, and doesn't even need past data to be modeled. Stock markets are not controlled by any defined laws, and are the epitome of randomness itself. Stock markets as as modelable as are lotteries.
But it is pointless arguing with someone who has such blind, irrational faith in computer models.
If warming was only based on those models I'd agree with you. But models are only one part of the data. When you get down to it, the earth is warming, as determined by nothing more then measuring the temperature of the globe. This warming corresponds to no known physical factor other then greenhouse gas levels. Laboratory and observational studies have demonstrated that the greenhouse effect is real, have determined exactly how much heat CO2 can hold in, and so forth.
What you are asking is for us to ignore things we observe happening in the world
today, for no reason other then the models based on todays evidence cannot predict what will happen tomorrow.
Bryan