05-13-2008, 11:42 AM
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#6 (permalink)
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2,500+ posts
Join Date: Mar 2004
Posts: 4,512
 #23 Javon Ringer
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I'm sure the global warming enthusiasts on the board won't read this report. So here are some highlights to make it easy to keep them informed.
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The proponents of man-made global warming have become so rattled by how the forecasts of their computer models are being contradicted by the data that some are rushing to modify the thesis.
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Tracking satellite data for the tropical troposphere, it showed March temperatures plunging to one of their lowest points in 30 years.
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study warning that Arctic sea ice was melting so fast that it may soon reach a "tipping point" where "irreversible change" takes place. This was based on last September's data, showing ice cover having shrunk over six months from 13 million square kilometres to just 3 million.
What the WWF omitted to mention was that by March the ice had recovered to 14 million sq km (see the website Cryosphere Today), and that ice-cover around the Bering Strait and Alaska that month was at its highest level ever recorded. (At the same time Antarctic sea ice-cover was also at its highest-ever level, 30 per cent above normal).
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The most dramatic evidence, however, emerged last week with an announcement by Nasa's Jet Propulsion Laboratory that an immense slow-cycling movement of water in the Pacific, known as the Pacific Decadal Oscillation (PDO), had unexpectedly shifted into its cool phase, something which only happens every 30 years or so, ultimately affecting climate all over the globe.
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On the other hand, a growing number of scientists are producing ever more evidence to show how those computer models are based on wholly inadequate data and assumptions - as is being confirmed by the behaviour of nature itself (not least the continuing non-arrival of sunspot cycle 24).
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The fact is that what has been happening to the world's climate in recent years, since global temperatures ceased to rise after 1998, was not predicted by any of those officially-sponsored models. The discrepancy between their predictions and observable data becomes more glaring with every month that passes
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