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Snowing on warmists’ parade March 6, 2010

Posted by BlueGreen in Deception, Misrepresentation.

Bolt’s Post 3 March 2010

Here, Bolt reckons:

I don’t think global warming is working out quite as warmists predicted:

He then links to a graphic via Watts via Steven Goddard demonstrating that:

2001-2010 was the Snowiest Decade on Record

Of course, as is usual with Bolt and his cohorts, they don’t actually tells us just what the “wamists” did actually predict. But if that’s what they wanted to do, why didn’t they show or quote the predictions that have been contradicted by this weather? Because, the IPCC predictions are not contradicted.

Fortunately, this has already been debunked when Bolt previously alluded to this misrepresentation about the northern hemisphere winter and snowfall.

 the IPCC has said in relation to snowfall (amount and coverage):

In general, snow amount and snow coverage decreases in the NH (Supplementary Material, Figure S10.1). However, in a few regions (e.g., Siberia), snow amount is projected to increase. This is attributed to the increase in precipitation (snowfall) from autumn to winter (Meleshko et al., 2004; Hosaka et al., 2005).

And Goddard has already been caught out on his misrepresentation of NH winter snowfall data, from my previous post:

Then, via Watts, via Steve Goddard, Bolt claims:

Any sign of those models being right?

Bolt reproduces Goddard’s plot of data from Rutgers University Global Snow Lab purportedly attempting to show that “winter” snowfall over the northern hemisphere has significantly increased.

But look: Tamino has clearly demonstrated that:

Goddard purposely truncated the snowfall data before 1988 back to1967 (ignoring 21 years of data) and used only January & February (claiming this represents winter – what happened to December?) data, to produce a classic cherry-picked trend. Use the whole data series, i.e. all months and all years and:

If we look at monthly snow cover anomaly for all months of the year covered by the Rutgers data we see a long-term decline of 37,000 km^2/year, which is statistically significant.

But what happens when data from all years for just the winter months are used:

If we fit a line to all the winter-season data, we get a t-value of 0.211 — nowhere near significant.

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