Germany reacts to Watts et al … BBC trying to save pensions

(h/t val majkus, WUWT)

the BBC gives emphasis to Muller and Mann and includes only a late and tiny mention of Anthony’s work.

and Climate Depot has the reaction from Germany

The result of the new study is shocking: Instead of correcting downwards temperatures that were heated by the urban heat island effect, the official US administration offices apparently corrected data from qualitively reliable stations upwards, which appears to be unjustifiable. If the result is confirmed, then it would be a shocking development. The warming in the USA over the last years would be far less rapid than what has always been assumed. And because similar errors are supected elsewhere, the issue could quickly gain global relevance.”

I asked Dr. Lüning to comment more on why this could have global implications. He kindly replied by e-mail:

Bit by bit others who might jump onto the train will now use the same methodology worldwide and will probably find that it really affects the global curve.”

Lüning and Vahrenholt also provide the press release in German at their site.

Take it from them; they’re experts. This could very well have global consequences. One thing is sure: It’s a an utter embarassment for the NOAA, and the perceived reliability of US and international data will be in question for years to come. Faith in the surface station data is crumbling.

[The BBC pension funds are heavily invested in ‘global warming’ … ed. ]

About Tom Harley

Amateur ecologist and horticulturalist and CEO of Kimberley Environmental Horticulture Inc. (Tom Harley)
This entry was posted in Climate, comedy, media, science, weather and tagged , , , , , . Bookmark the permalink.

1 Response to Germany reacts to Watts et al … BBC trying to save pensions

  1. As far as I can see the main novelty is that the weather station classification scheme of Leroy (2010) is better than Leroy (1999).

    It would have been more elegant if Watts had stated in his press release that the differences between stations of various qualities he found in the temperature trends are only visible in the raw data. In the homogenized (adjusted) data the trends are about the same for all quality classes. No more sign of errors due to the urban heat island.

    That the trend is stronger in the homogenized data is no surprise, the transition to automatic weather stations during the study period has caused an artificial cooling in the raw data.

    For a bit more detailed “review“, please visit my blog.

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