Readers may recall I wrote in this article about my family memorial day excursion to Crater Lake:
Crater Lake happens to have a USHCN weather station, and it is one of the few stations that GISS excludes (they have an exclusion code for it in their software Mosher located some time ago).
Steve Mosher commented in detail about that:
Thanks for remembering that Anthony.
In addition to crater Lake there were 4 other northern california stations that GISS had removed from the data. In the paper Hansen merely says this:
The strong cooling that exists in the unlit station data in the northern California region is not found in either the periurban or urban stations either with or without any of the adjustments. Ocean temperature data for the same period, illustrated below, has strong warming along the entire West Coast of the United States. This suggests the possibility of a flaw in the unlit station data for that small region. After examination of all of the stations in this region, five of the USHCN station records were altered in the GISS analysis because of inhomogeneities with neighboring stations (data prior to 1927 for Lake Spaulding, data prior to 1929 for Orleans, data prior to 1911 for Electra Ph, data prior of 1906 for Willows 6W, and all data for Crater Lake NPS HQ were omitted), so these apparent data flaws would not be transmitted to adjusted periurban and urban stations. If these adjustments were not made, the 100-year temperature change in the United States would be reduced by 0.01°C”
Well, I wanted to see the analysis, the code, that was used to make this determination that these stations were flawed. Gavin basically said the paper documented everything, but these words don’t tell me HOW it was done. It just says THAT it was done. Any way that was pretty much why I wanted the code released. When it finally was released, you will see that there is no analysis supporting the removal of these stations. Upon inspection you can see some flakey stuff with the stations, but I was looking for math that quantified the flakiness. In the end, these were excluded by hand.
The argument of course is that including them or excluding them amounts to a tiny difference. That argument never held much water for me. The question, in my mind, was how many other flakey stations were there and was there math that could detect it? I think thats a good question. It doesnt make me doubt the record, I just think its a good question.
I agree. I don’t know that Crater Lake data is flawed or “flakey”, it just may reflect the snow pack hanging around longer, creating a cool bias into summer. With the snow pack as heavy as it is this year, it will be interestign to see if that has an effect of suppressing mean temperature.