Sorry! said:
Woah sylas sifting through the data. I just quickly found the monthly average to show that the data does exist. Nice job on that though
I guess I probably know more about this particular data than anyone else at physicsforums at present. I can't be sure, but I would guess so. I don't tend to make any big deal about my own background, since I prefer to let my posts stand on their own merits, rather than have any personal authority. And I am indeed an amateur, with no professional training in climate science at all.
I have been using the monthly data myself for quite some time, for my own personal interest; and have had to work through all the usual difficulties of extracting data, decoding formats, picking out the bits I need, mapping between data from different sources, and so on. I write my own programs, and perform my own calculations.
The daily data is more than I have ever needed previously; but I am currently grabbing a copy to keep with all the other stuff I have lying around, as I can imagine several interesting things to try with it. The download tells me it has 9 hours and 47 minutes to go.
There is a file for Jan Mayer alone, which I used previously; that was only 756 K.
Some time ago (not here) I got into an argument over the quality of data in the USHCN network. Certain individuals believed that the data was hopelessly compromised by all kinds of flaws in the various US weather stations. I recognized that there were problems, but cited all the published accounts of how these problems were addressed. We reached an impasse; which is not new in this area -- as you can see in the thread!
That was when I started doing my own private analysis, just for fun. The skeptics had identified a very small subset of the network that they considered of reasonable quality. (On this matter, the term skeptic is appropriate and honourable.) So I obtained that data for myself; from USHCN and also from GCHN, and did my own calculation of an anomaly for the continental USA, to compare which what had been obtained using the full network. I downloaded all the source code (in fortran), which helped me figure out how to use the data, and then went ahead with my own programs (in C) supplemented with a few spreadsheets, and eventually got to the point of calculating an anomaly. Of course, as I was using only a small set of stations, I was not able to get the fine resolution of gridded data; I adopted a very coarse grid.
Eventually, I obtained and posted the results; and showed that the correlation with the data released by NASA for the continental USA was very high. No special tuning was necessary to get the result; it fell out pretty much straight away once I got my code debugged. That's skepticism at work as well. I was not willing to merely assume that everything was rosy. I saw the published papers that said the inaccuracies in stations had only a comparatively small effect; but calculating it for myself was a good confirmation. There was no audit involved; I used a different dataset (a subset) identified by the skeptics; and I used my own programs exclusively.
Now that I think about it, telling more about that little project might make a good thread in the independent research subforum. This was all about 18 months ago, I think.
Others have done something pretty similar, again using this limited set of USHCN stations that the skeptics had identified as reasonable. NOAA did it, for example, about a year after I did. They didn't bother to publish either. Frankly, there's not actually a lot of scientific interest or value in addressing the concerns of amateur skeptics on matters like this; it is more of a education issue, helping those interested learn more about the basis for the science.
That is my primary objective here also, believe it or not. I'm not actually a great social campaigner, and politics mostly bores me or depresses me. I have come to appreciate the need for action in response to the real threats, but I don't actually focus on that side of it myself much at all. I'm much more interested in the science for its own sake. Always have been.
Cheers -- sylas