From Tom Nelson
Email 600, Sept 2007: Watts expose makes NOAA want to change entire USA method
[Tom Karl, Director of the National Climatic Data Center] We are getting blogged all over for a cover-up of poor global station and US stations we use. They claim NCDC is in a scandal by not providing observer’s addresses. In any case Anthony Watts has photographed about 350 stations and finds using our criteria that about 15% are acceptable. I am trying to get some our folks to develop a method to switchover to using the CRN sites, at least in the USA.
Hat tip: AJ
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Note this email, because it will be something I reference in the future. – Anthony
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Congratulations!
Let’s hope that NOAA isn’t a GREENGOV(TM) client of Richard Muller and associates
http://www.mullerandassociates.com
However, when it comes to homogenization, how inhomogeneities are removed, I am not able to understand the gibberish Evan is talking. He does not seem to be able or willing to understand how homogenization is performed. I am happy to answer your questions.
The result of homogenization is to take well sited stations and adjust them warmer than poorly sited stations. That is a fact.
The problem arises when 15% of the stations are properly sited turn out to run significantly lower trends than the remaining 85%. Therefore, they show up as outliers and are “adjusted” to conform with the surrounding (poorly sited) stations.
You are not fixing bad microsite. You are unfixing good microsite.
(When they homogenize the data, why do they always seem to feel the need to pasteurize it?)
As for UHI, I got a great idea: Take, oh, say, the USHCN. Average urban, semi-urban, and rural station trends. Compare the averages.
As for climate trends, simply classify, grid, and average the grid boxes for each classification. (Comparisons of good/bad stations within each grid is also recommended.)
Dump homogenization entirely.