Friday, 4 July 2014

The Season or Sun argument for Climate Predictability


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

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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