That's rich coming from you! So I take you and you alone can undoubtedly estimate the sensitivity of earths temp to anthropogenic CO2 output?
NS why is my post rubbish, the evidence for warming caused by AGW is far from settled. I've read countless IPCC papers, and none of them offer any conclusive proof, as my post highlights.
Just too add also that climate models only ASSUME that their is a large positive feedback as the world warms, note the word ASSUMED, it crops up a few times.
Climate models underestimate the increase of evaporation with temperature.
Climate models overestimate the effect of CO2. This is down to global recorded temps, which contains the UHI component..
The sensitivity of climate models depends on the ASSUMED value of aerosol forcings. This is not measured, but only ASSUMED!
So we have a theory that is settled on ASSUMPTIONS!
SC, I think you are right to question the science, as should everyone. I also think you have a point regarding the climate models given the erratic performance of the weather models after only 4-5 days. Perhaps there is a difference and I'm happy for someone to explain why?
I'll have a stab NS. The weather model may be wrong after 4-5 days, but only (as an example) because a weather system went a couple of hundred miles north or south of its predicted path. What the weather model showed would still be within the range of expected weather - it just happened to be incorrect. Now, if you ran the weather model for 50 years, you'd have no hope of it ever predicting the weather correctly beyond a week or ten days. However, if it's good model*, the range of weather it provides at a point should average out to give the actual climate at that place - the right amount of sunshine, rain, snow, right range of temperatures etc. This is essentially what climate models do, except they run at lower temporal and spatial resolution than weather models despite including more variables (to save on computing time).
So if your climate model produces the right kind of weather consistently (i.e. the climate, with its inherent variability), it hardly matters that it can't predict next Tuesday's weather.
*This is oversimplified - climate models are not just weather models run for longer. For example, weather models ALL have a radiative drift because they're not in equilibrium. They don't need to be, because they only run for a couple of weeks and the imbalance doesn't wind up having an effect. Some climate models need an artificial correction to counteract this, but more modern ones, starting with HadCM3, are good enough not to 'drift'.
I also think you are right to highlight the many ambiguities in climate science including feedbacks, range of warming etc. So on reflection, I was perhaps too harsh to dismiss your post as total nonsense.
Having said that I must say that to reject the science seems bizzare. If 99.9% of the experts in a particular field are telling you something then I think it is probably a good idea to listen to them.
Yes the uncertainties do need highlighting. However SC is not correct in his assertion that climate models assume positive feedback; that's an emergent property of the models. In fact I can tell you four of the main factors that cause it to emerge:
i) The absorption characteristics of all GHGs are programmed in. Most importantly, that includes water vapour.
ii) The clausius-clapeyron equation is programmed in. This governs evaporation and the humidity of the model's atmosphere. That equation dictates that humidity increases with temperature (and of course we know water vapour is a GHG, ergo positive feedback).
iii) The albedo of various surfaces is programmed in. Most importantly, that includes ice and snow.
iv) Because ice and snow cover increases with a cooling climate and decreases with a warming climate, it must be a positive feedback.
What's more, climate models do not overestimate the effect of CO2. The radiative effect of CO2 is well known, it's pretty much impossible to mis-estimate. It's what the model then does with that particular radiative forcing that is important, but it certainly can't be claimed to be an oversensitivity to CO2. If a model is oversensitive, it's because it's oversensitive to all forcing, not just CO2 forcing.
Edited by user
29 March 2011 23:28:43
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