A different source this time, the Goddard Institute for Space Studies (GISS)….
This graph is based on raw data, which in turn is then shown as an yearly average.
Honestly, what do you see? I see some very cold years around 1909, 1918, 1940, the late 70s and I see some very warm years around 1905, 1919, 1949, and 1996. Some years are warm, some years are cold, but do you see a hockey stick in this data?
Now, when the data is manipulated or “homogenized”, a hockey stick graph appears.
To see the difference in the graphs more clearly, I have overlapped the charts. The homogenized data appears yellow, and the yearly average temperatures based on raw data appear in blue.
So, after the raw data is run through the homogenization process, in other words, statistical manipulation, temperatures from 1900 through 1980 are depressed at West Point and temperatures thereafter look as if they are increasing in comparison to the average temperatures based on the raw data.
That, simply put, is pretty shifty! Depress the pre-1980 temperatures to make the latter part of the twentieth century look like it is abnormally warm.
Amazing how that works and thus in this case, you get a hockey stick. Exactly why is the data depressed pre-1980?
I’m betting ideology is winning out over science.
For a far more scientific view of this phenomenon, take a look at this post at The Strata-Sphere , among others.
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Tags: Global Warming
4 Comments to “Looking for Global Warming at West Point: Raw Data versus Homogenized Data”
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I can see a hockey stick. WHat I did was get some dark cardboard and cut a hickey stick shape into it. I then superimposed it over your first graph. All the points I could see showed a clear hockey stick shape.
Seriously I am starting to wonder about this data. After seeing Willis’s post I did a simalr thing for my hoetown of Brisbane. I calculated the temperature anomolies on both the rax and adjusted (“homoginzed”) data for the period record were kept for the relevant site and I get a VERY similar result to your temperature plots. Mine showed the adjusted data had been adjusted down for years prior to 1978 and UP for years after 1978. Intuitively as these were airport measurements I would expect the adjustments to go the other way.
I then made an animated GIF of the result so you can see the graphs see-sawing back and forth – it looks pretty effective I can tell you! Click my name and it will take you to the site.
Nice work and I think we should do a few dozen more and encourage the experts to go crazy with this until a reason for the adjustments is forthcoming (or not).
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“He who controls the past, controls the future”.
In the global alarmist world/thought, if the present isn’t warming, make the past colder.
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