There is a WordPress blog called Http://klimakatastrophe.wordpress.com that recently did an analysis of some changes in the way Hadley Climate Research unit presents its HadCRUT data. They suggest that HadCRUT has been doing some adjusting, and gotten closer to GISS. It has been translated into English with the help of WUWT reader Pierre Gosselin and shown below, but you can read the original in German here:
http://klimakatastrophe.wordpress.com/2008/04/13/das-met-office-hat-seine-hardcrut3-datenbasis-der-giss-nasa-datenbasis-angeglichen/
Lets all do some investigation into this to see what is actually going on and if the claim holds up.
UPDATE: There is something wrong with this analysis, possibly a comparison to two data sets that are land and SST rarher than the combined HadCRUT index. Please don’t reference this story until I can hear from the original writer.
UPDATE2: This analyis has confirmed errors, disregard it. I’m not sure if this was accidental or intentional, but the HadCRUT data has not been modified as the German blog author claims.
UPDATE3: Thanks to readers Nick Stokes and Pieree Gosselin, a corrected analysis has been posted, see it here:
http://klimakatastrophe.wordpress.com/2008/04/13/das-met-office-hat-seine-hardcrut3-datenbasis-der-giss-nasa-datenbasis-angeglichen/
The Met Office adjusts its HadCRUT3-database to better match the GISS NASA database.
Written on Sunday, 13 April, 2008
GISS Global temperature of NASA has shown substantial deviations over the last years when compared to the other three data sets of global temperature (HadCRUT3, RSS and UAH), particularly for March 2008. Now the Met Office has itself apparently decided to adjust HadCRUT3 databases to better match GISS values. See the following diagrams:

The database is shown by the black points with red line (moving annual average), how it appeared last week by the Met Office. The circles with blue line (moving annual average) represent the new, highly corrected database. So far I haven’t been able to find any reason for this, or why this correction took place.
As the lower part of the illustration shows, on a long-term basis, the annual average (the red line), was corrected approx. 0.1°C. The month of March was adjusted from 0.166 to 0.43°C. Thus around 0.264°C. Recently the Met Office has again changed its presentation of the annual average temperatures. The start of 2008 was particularly cold, and led to a temperature dive in the yearly series. For this reason the temperature was removed from the early 2008 series.
Now we have a massive problem. Because of the corrections, the surface measured temperatures (GISS, HadCRUT3) show a trend which no longer agrees with the satellite measurements (RSS, UAH).
Two groups seem to have formed, using different calculation and presentation methods for global temperature. This circumstance is obviously due to missing climate warming. Such adjustment attempts are not only dubious, but also cast great doubt on these (Hadley, GISS) climate scientists, and risk losing credibility.
Update: As I have just determined, the monthly average values are constantly changing, and that going all the way back to 1850. It is constantly being readjusted…to be more and more in line with GISS database.
Conditions 11.01.2008
2007/01 0.923
2007/02 0.680
2007/03 0.595
2007/04 0.634
2007/05 0.522
2007/06 0.531
2007/07 0.545
2007/08 0.589
2007/09 0.520
2007/10 0.525
2007/11 0.432
Conditions 18.03.2008
2007/01 0.632
2007/02 0.520
2007/03 0.441
2007/04 0.473
2007/05 0.374
2007/06 0.377
2007/07 0.403
2007/08 0.370
2007/09 0.409
2007/10 0.360
2007/11 0.266
2007/12 0.202
2008/01 0.056
2008/02 0.194
Conditions 11.04.2008
2007/01 0.366
2007/02 0.361
2007/03 0.310
2007/04 0.286
2007/05 0.265
2007/06 0.332
2007/07 0.354
2007/08 0.282
2007/09 0.294
2007/10 0.228
2007/11 0.149
2007/12 0.112
2008/01 0.116
2008/02 0.154
2008/03 0.166
Conditions 13.04.2008
2007/01 0.632
2007/02 0.520
2007/03 0.441
2007/04 0.472
2007/05 0.375
2007/06 0.376
2007/07 0.403
2007/08 0.370
2007/09 0.414
2007/10 0.356
2007/11 0.265
2007/12 0.201
2008/01 0.056
2008/02 0.187
2008/03 0.430
In my Plots of 11.04.2008 I used the values of 11.04.2008.
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