Anthony Watts finds another squirrel in Arizona when he knows there is no bias

Anthony Watts is busy looking for squirrels in Arizona to distract from all the record high temperatures. He's found another poorly sited weather station (archived here). Without acknowledging that his previous find wasn't used in any dataset, national or global, he is delighted to find that this one is. It's located at the small town of Parker in north-western Arizona near the border of California.

Parker 26250 is included in the GISTemp global data set up until 2007. It is also included in the NOAA USHCN dataset. There are quite a few quality problems with it, as shown at Berkeley Earth. There is missing data, it's very poorly sited, and it's had several replacements of an MMTS sensor.

The issue is not that there are poorly sited weather stations in the data sets. The question is: are they biasing the record?

The answer would be a resounding NO! They are not.

NOAA now uses a lot of data in its official CONUS dataset, nClimDiv, and uses sophisticated algorithms to correct wonky data and present the information on temperature as close as it can. It must be quite good, because there is very little difference between its pristine record of its Climate Reference Network (CRN) and the larger dataset (ClimDiv) as you can see below. I've highlighted where there are the biggest differences and they are miniscule:

US CRN and US ClimDiv January to December annual data from 2000 to 2015 Source: NOAA