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Old September 17th 05, 07:49 PM posted to uk.sci.weather
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Philips column in the Tele was quite interesting. He was saying that the
NAO, which has been used as evidence for this (cold) forthcoming winter, was
more likely a result of the previous winter, rather than a sign for the
forthcoming one!

Phil

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Old September 17th 05, 07:59 PM posted to uk.sci.weather
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In article ,
Phil Layton writes:
Philips column in the Tele was quite interesting. He was saying that the
NAO, which has been used as evidence for this (cold) forthcoming winter, was
more likely a result of the previous winter, rather than a sign for the
forthcoming one!


Apparently the MO predict the coming winter's NAO based on May's
Atlantic SST anomalies. I suppose that those May anomalies are going to
be greatly influenced by what the previous winter's circulation pattern
was like.

I wonder why May is used. You would think that taking a later month
would give a better prediction. Surely it can't require several months
to process the data?
--
John Hall "Do you have cornflakes in America?"
"Well, actually, they're American."
"So what brings you to Britain then if you have cornflakes already?"
Bill Bryson: "Notes from a Small Island"
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Old September 17th 05, 10:31 PM posted to uk.sci.weather
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Felly sgrifennodd John Hall :
Apparently the MO predict the coming winter's NAO based on May's
Atlantic SST anomalies. I suppose that those May anomalies are going to
be greatly influenced by what the previous winter's circulation pattern
was like.

I wonder why May is used. You would think that taking a later month
would give a better prediction. Surely it can't require several months
to process the data?


As I think I posted at the time this came up before, I don't understand
that either. You'd think that if May's was found the best, surely some
statistical input from other months would at least help the model somewhat.
So why not form a model on a number of months' data? A decent analysis
technique would chuck out data that wasn't important anyway, so there's
not a lot to lose (principle of parsimony excepted).

Adrian
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Adran Cyfrifiadureg, Prifysgol Cymru, aber.
Aberystwyth, Ceredigion, Cymru ac.
http://users.aber.ac.uk/ais uk


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