Garpal Gumnut
Ross Island Hotel
- Joined
- 2 January 2006
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hey Spooly ,
I'm still waiting for you to post your opinion of whether or not monitoring the climate and trying to improve the models of its behaviour should (iyo) take prioity over spending on the LH Collider.
I'd also ask you whether we have to have every 't' crossed in the modelling dept before we act on this one, to reduce CO2 - assuming you don't need to be reminded of the consequences of failure.
The science of ozone decomposition was shown by Chapman in 1930.
There was a bit of a gap in major advancements until in 1970 Crutzen showed that the nitrogen oxides NO and NO2 reacted catalytically (without themselves being consumed) with ozone, thereby accelerating the rate of reduction of the ozone content. Molina and Rowland's 1974 paper completed the basic science, but not the "modelling" needed to determine actual CFC impacts.
DuPont rallied its industry colleagues into a defence of CFC use because the science was dodgy, and they could prove it; which they tried vigilantly until the Montreal Protocol. Curiously they quickly changed tack, and DuPont have been strong supporters of the Montreal Protocol.
It gets less curious when you realise that while the CFC debate was raging, DuPont were scrambling for replacements they could manufacture, and steal a march on their competitors.
The LHC has all the funding it needs from Governments so it's a mute point. Particle physics has reached a point where only experiment can show the way forward. This is a stunning reality that climate scientists can only dream of.
Perhaps climate modelers could take advantage of 'The Grid', a technology developed for the LHC to correlate their data and computing power but the IPCC seem to have it all sussed and refused that idea too (can't find the link atm).
As for every 't' crossed before we act ....... didn't we just act? 5% by 2020. Not enough? Too little to late?
Observed warming is at most 1.5C per doubling CO2, not 3C! I'm sure the models can/will improve. This missing heat is supposedly being absorbed by the oceans, which is hard to prove or disprove, given our limited understanding of the deep ocean currents and temperatures.
All scientific models have restricted applicability, they should be thought of as representations of reality and not reality itself!
I think temperature is a very difficult area. Higher temperature causes moisture to rise which in turn increases cloud cover which then decreases temperature. Climite change is the thread topic and seems with my limited knowledge best means to observe. No doubt as data collection time and quality improves a wider spread of effects will show the way more clearly.
I did ask for a specific aspect of your choice.
In its absence, an overview:
Monckton makes a case that climate sensitivity, the amount that the global average temperature increases if CO2 doubles is much less than the IPCC estimate of 3 °C. Monckton reckons sensitivity is just 0.58K.
How does he come up with such a number?
He starts with an equation for forcing...so far so good.
Then he claims that the supposedly missing hotspot means that forcing has to be reduced by a factor of three. In doing this he misunderstands Lindzen (2007), But Lindzen (2007) does not say that CO2 radiative forcing is too high, "we can reasonably bound the anthropogenic contributions to surface warming since 1979 to a third of the observed warming, leading to a climate sensitivity too small to offer any significant measure of alarm".
Note that this is a statement about sensitivity not CO2 forcing.
Next Monckton turns his attention to sensitivity and argues it's too high as well.
Monckton proceeds to "prove" that sensitivity will be less than the value implicit in IPCC (2007).
In his "proof" he assumes there is no delay in warming (unlikely!) and McKitrick's data is correct (although he confused degrees with radians and his paper is totally unreliable), to arrive at his low value of sensitivity.
If we also assume that the IPCC forcing and feedback values are correct, then their value of sensitivity must be too high; Monckton comes up with a number 20% less. But in a previous section Monckton argued that the IPCC forcing value was too high by a factor of three. Yet if we we use Monckton's number, the IPCC value of sensitivity is too low.
Put simply, Monckton's paper arrives at conclusions that are not supported by its own maths.
I am not a scientist, merely an ordinary person trying to make sense of the millions of words written daily on weather and warming.
Sometimes when one gets a headache from reading the arguments it is useful to pull back the ottoman and have a smoke. I find this solves many problems as smoke rings rising are finite.
This argument is similar to the ones the godbotherers of old had about how many angels would fit on the head of a needle.
Millions of words, valid arguments and all for nought.
Use reason not empirical arguments.
And no more bloody graphs.
gg