That is, data has been either unscientifically altered or falsified or
both...   Those defending climate science after the emails now look
like fools...

http://volokh.com/2009/12/08/the-homogenized-data-is-false/

http://wattsupwiththat.com/2009/12/08/the-smoking-gun-at-darwin-zero/

>>> YIKES! Before getting homogenized, temperatures in Darwin were falling at 
>>> 0.7 Celcius per century … but after the homogenization, they were warming 
>>> at 1.2 Celcius per century. And the adjustment that they made was over two 
>>> degrees per century … when those guys “adjust”, they don’t mess around. And 
>>> the adjustment is an odd shape, with the adjustment first going stepwise, 
>>> then climbing roughly to stop at 2.4C.

Of course, that led me to look at exactly how the GHCN “adjusts” the
temperature data. Here’s what they say in An Overview of the GHCN
Database:

    GHCN temperature data include two different datasets: the original
data and a homogeneity- adjusted dataset. All homogeneity testing was
done on annual time series. The homogeneity- adjustment technique used
two steps.

    The first step was creating a homogeneous reference series for
each station (Peterson and Easterling 1994). Building a completely
homogeneous reference series using data with unknown inhomogeneities
may be impossible, but we used several techniques to minimize any
potential inhomogeneities in the reference series.

    …

    In creating each year’s first difference reference series, we used
the five most highly correlated neighboring stations that had enough
data to accurately model the candidate station.

    …

    The final technique we used to minimize inhomogeneities in the
reference series used the mean of the central three values (of the
five neighboring station values) to create the first difference
reference series.

Fair enough, that all sounds good. They pick five neighboring
stations, and average them. Then they compare the average to the
station in question. If it looks wonky compared to the average of the
reference five, they check any historical records for changes, and if
necessary, they homogenize the poor data mercilessly. I have some
problems with what they do to homogenize it, but that’s how they
identify the inhomogeneous stations.

OK … but given the scarcity of stations in Australia, I wondered how
they would find five “neighboring stations” in 1941 …

So I looked it up. The nearest station that covers the year 1941 is
500 km away from Darwin. Not only is it 500 km away, it is the only
station within 750 km of Darwin that covers the 1941 time period.
(It’s also a pub, Daly Waters Pub to be exact, but hey, it’s
Australia, good on ya.) So there simply aren’t five stations to make a
“reference series” out of to check the 1936-1941 drop at Darwin.

Intrigued by the curious shape of the average of the homogenized
Darwin records, I then went to see how they had homogenized each of
the individual station records. What made up that strange average
shown in Fig. 7? I started at zero with the earliest record. Here is
Station Zero at Darwin, showing the raw and the homogenized versions.

>>> Yikes again, double yikes! What on earth justifies that adjustment? How can 
>>> they do that? We have five different records covering Darwin from 1941 on. 
>>> They all agree almost exactly. Why adjust them at all? They’ve just added a 
>>> huge artificial totally imaginary trend to the last half of the raw data! 
>>> Now it looks like the IPCC diagram in Figure 1, all right … but a six 
>>> degree per century trend? And in the shape of a regular stepped pyramid 
>>> climbing to heaven? What’s up with that?

Those, dear friends, are the clumsy fingerprints of someone messing
with the data Egyptian style … they are indisputable evidence that the
“homogenized” data has been changed to fit someone’s preconceptions
about whether the earth is warming.

One thing is clear from this. People who say that “Climategate was
only about scientists behaving badly, but the data is OK” are wrong.
At least one part of the data is bad, too. The Smoking Gun for that
statement is at Darwin Zero.

So once again, I’m left with an unsolved mystery. How and why did the
GHCN “adjust” Darwin’s historical temperature to show radical warming?
Why did they adjust it stepwise? Do Phil Jones and the CRU folks use
the “adjusted” or the raw GHCN dataset? My guess is the adjusted one
since it shows warming, but of course we still don’t know … because
despite all of this, the CRU still hasn’t released the list of data
that they actually use, just the station list.

Another odd fact, the GHCN adjusted Station 1 to match Darwin Zero’s
strange adjustment, but they left Station 2 (which covers much of the
same period, and as per Fig. 5 is in excellent agreement with Station
Zero and Station 1) totally untouched. They only homogenized two of
the three. Then they averaged them.

That way, you get an average that looks kinda real, I guess, it “hides
the decline”.

Oh, and for what it’s worth, care to know the way that GISS deals with
this problem? Well, they only use the Darwin data after 1963, a fine
way of neatly avoiding the question … and also a fine way to throw
away all of the inconveniently colder data prior to 1941. It’s likely
a better choice than the GHCN monstrosity, but it’s a hard one to
justify.

Now, I want to be clear here. The blatantly bogus GHCN adjustment for
this one station does NOT mean that the earth is not warming. It also
does NOT mean that the three records (CRU, GISS, and GHCN) are
generally wrong either. This may be an isolated incident, we don’t
know. But every time the data gets revised and homogenized, the trends
keep increasing. Now GISS does their own adjustments. However, as they
keep telling us, they get the same answer as GHCN gets … which makes
their numbers suspicious as well.

And CRU? Who knows what they use? We’re still waiting on that one, no
data yet …

What this does show is that there is at least one temperature station
where the trend has been artificially increased to give a false
warming where the raw data shows cooling. In addition, the average raw
data for Northern Australia is quite different from the adjusted, so
there must be a number of … mmm … let me say “interesting” adjustments
in Northern Australia other than just Darwin.

And with the Latin saying “Falsus in unum, falsus in omis” (false in
one, false in all) as our guide, until all of the station
“adjustments” are examined, adjustments of CRU, GHCN, and GISS alike,
we can’t trust anyone using homogenized numbers.

Regards to all, keep fighting the good fight,

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