I’ve been busy over the last couple days, not only with my real work, but also trying to decode the CRN data. About 2 weeks ago, Anthony Watts posted the link to the FTP site where anyone can download the temperature data from the new network. There are many files. And that’s an understatement. They have one file for every hour that has passed since the initiation of the network in late 2005.
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Yesterday I did a post called Revisiting Tucson USHCN: Regional Correction Factor. I thought it would be my last post on the UofA surface station in a while, but I guess not. The US Climate Reference Network (CRN). This is described as “a network of climate stations… Its primary goal is to provide future long-term homogeneous observations of temperature and precipitation that can be coupled to long-term historical observations for the detection and attribution of present and future climate change.”

Luckily for me, steven mosher pointed out that there is a CRN station really close to Tucson at the Arizona Senora Desert Museum. He said:
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In July 2007, the USHCN surface station at the University of Arizona was profiled for the first time. Being in a parking lot, it is a less than an ideal location. The pictures have been shown repeatedly on Watts Up and Climate Audit, as well as in presentations by Dr. Roger Pielke Sr. The temperature record was defended by both me and Herman and Jones using a similar methodology.

In a recent post at Watts Up, he profiles a station that is near a concrete walkway. I commented, basically saying that just because it is near the walkway doesn’t necessarily mean it will introduce a warming bias. Which lead him to reply:
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I’ve been on the lookout for great surface stations lately. And I think I may have hit the jackpot. This station is situated in lovely St. Lawrence County, New York. The inset is an image taken not far from the actual station, and the image appears to be quite representative of the region. The good news is that this station is already in a list of the best surface stations. I compiled that list by just looking at mesoscale influences. That is, is there any cities or towns nearby that would contribute to the urban heat island.
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