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Originally Posted by Argonavis
I would suggest that pulling data out of noise is fraught with problems. For example, you end up with a fraudulent hockey stick.
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You're not pulling data out of noise. Noise is not data that is excluded.
Noise is treated as the standard deviation of the data.
The use of moving averages smooths out the data.
It is a common procedure used in many disciplines.
http://en.wikipedia.org/wiki/Moving_average
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I prefer this graph, if we are going to start throwing graphs at each other. It puts it into prespective. You will note that the graph ends in early 2000's, since then the global temperature anomalies are down to close to zero. No warming.
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Yes a very interesting graph which the author has tried to turn into a horizontal line by using an excessive large vertical scale for small variances. The thick lines add to the effect.
If someone handed me any form of information in this format, I'd promptly discard it in the rubbish bin.
Steven