You find climate scientists explaining ”we cannot predict the
weather one month in advance, we can predict that next winter it will be colder
than this month. That a model cannot predict natural variability (weather) does
not mean that it cannot predict the long term climate (winter).”
However, the difference between one summer and the next is many
magnitudes larger than differences predicted for surface temperatures.
Winter and summer are differentiated by the earth's orbit round
the sun giving more sunshine during the summer than winter. We also know that the sun's sunspot cycle of
magnetic storms affects the weather. The
'consensus' surface temperature variance expected is ~1% with cycles between
about 9 and 14 years. The 'pause' in
global warming from 1998 to present has occurred during cycles of low sunspot
numbers – an inactive sun. But not as inactive as in the depths of the 'Little Ice Age'
In both cases, the chaotic nature of weather systems means that
there is no linear relationship in how much or how little the Earth's surface
temperature will be affected. [see recent paper on Sun’s magnetic
field Nov 2013]. A few sun researchers predicted slight cooling, yet none
of the General Circulation computer models did.
Human emissions of carbon dioxide directly join the atmosphere
and take part in weather's chaotic song-and-dance. Thus climatologists can
predict that there will be some sort of warming affect but they'll have to be
as vague as 'a bit warmer, perhaps'.
There's no chance of being able to give a figure for sensitivity i.e. x
degrees increase for doubling of carbon-dioxide.
The climate itself is Fractal and Chaotic. See paper below by Tim Palmer & Julia Slingo of UK Met Office:-
Phil. Trans. R. Soc. A-2011-Slingo-4751-67.pdf
Phil. Trans. R. Soc. A-2011-Slingo-4751-67.pdf
Unfortunately, climatology is replicating
the economics route. When things go
unexpectedly wrong (e.g. 2008) the 'consensus' economists make a big noise of
"nobody saw it coming" despite the fact that a handful had done so
(cash-flow researchers) so they're able to maintain the ear of politicians and
keep the world economy aping a massive Ponzi scheme. Meanwhile, economists add the missing
variable(s) to their computer models and proudly tell each other when they're
able to predict the past.
Not Good!
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