## GHCN V1 vs V2 (V3 soon) Teaser

I’ve spent a chunk of today with my brain in FORTRAN land. Revisiting one of my older programs.

It is one that just takes a given country code and finds the average temperature for the reporting stations in that country, by year.

I’ve run it before on GHCN v2 data to get some kind of ‘feel’ for what is happening in any given country in the data. Yes, it “has theoretical issues” in that for a country like the USA if you compare 1800 with 2010 there are a lot more stations in the hot desert southwest now, then there were in 1800. It makes no attempt at gridding. It is to visualize the ‘shape of the data’ not to make grand pronouncements about some theoretical actual temperature.

Though, as I’ve pointed out many times, “average temperature” is a fiction that has no basis in proper science. The temperature is an intrinsic property of ONE object. Take two different object and you can average the numbers, but lose the meaning. (Even a single Stevenson Screen is measuring two different bodies of air. 20 C and 100% humidity is a far different heat content from 20 C and 20% humidity…)

My favorite example of this is: Take 2 pots of water. One at 0 C the other at 20 C. The average of their temperatures is 10 C. Mix the two pots of water. What is the final temperature? The question can not be answered. THAT is the problem. What are the relative masses of water in the two pots? Was that 0 C water freshly melted, or still ice?

So my averaging temperatures is no worse than any games GIStemp or HADcrut do when they average things. And, for the inevitable “but they use anomalies!!”… um, no, they don’t. Not until very late in the process. GIStemp carries temperatures AS temperatures until near the end. Then it makes “grid box anomalies”, not individual thermometer anomalies. IMHO that is the heart of their bogus numbers. See the dT/dt category at the right side of this page for a much better way. Make anomalies FIRST. Though even it is using the “monthly average” that is made by averaging the daily high / low and then averaging that over a month – plus a boatload of adjustments and other “QA” that, yes, uses temperature averages. It’s all just a fraud of mathematics that has no anchor in the philosophy of science. Confounding an ‘average of temperatures’ with an actual temperature and confounding temperature with heat. So what I do is no worse.

At least I admit the purpose is to see what is going on in the DATA and not make particular assertions about any temperature.

With that said…

I’ve started to compare v1 with v3. Along the way, I’ve had to pass through v2. They changed a load of country codes between v2 and v1, so comparisons are a piece of work… I’ve now got a country code map between them, and v3 is basically the same as v2.

So today I got “lmyears” and “dotemps” converted to work on v1 data. (Next up is the whole dT/dt suite). This first step lets me pick a country and just see “what changed” in the average of temperatures in any given year, and any given month.

If a place added a load of hot airport thermometers, or dropped a bunch of cold mountain ones, it WILL show up as numerical shifts between the years. ( dT/dt doesn’t have that issue, as it makes anomalies by individual thermometer, then compares them).

Now what makes this a useful tool is that when you look back at, say, 1950, you would expect the same numbers in v1 vs v2 vs v3 (modulo some very tiny ‘jitter’ due to actual fixed bits. Like a 1/10 degree or 2/10).

As my first comparison, I’ve run v1 (that now works) and compared it to v2 (that I already had). V3 is still to do, but there was a comparison of v2 to v3 already done, so for now folks could just look that up and add the two bits. Yes, “I’m working on it”, but it is going slower than I’d expected… so for now, just enjoy what we do have. The good news is that once a part, like v1, is worked out, I can knock out lots of comparisons in a hurry. So questions like “Has Australia fooled around with their history more than New Zealand?” can be readily answered. (Yes, preview of coming attractions ;-)

Some reviews of v2 vs v3:

http://wattsupwiththat.com/2010/11/23/ghcn-v3-temperature-data-errors-spotted-within-a-day-of-release/

http://theinconvenientskeptic.com/2010/11/ghcn-v3-update-and-comparison/

### For now, the teaser

I still have to get the reports off the Linux box and onto the Open Office PC, to do pretty reporting. The new laptop has shut off things like telnet, so I’m turning that kind of tool back on again. It all takes time. So the pretty bit is coming. But right now all I’ve got is some interesting numbers.

The first report I did was Australia.
Country Code 501 in v2 / v3 but
Country Code 513 in v1.

Some years are substantially the same. That’s a “good thing” as it lets you see that there was not some gross error of getting the country code wrong or having a variable out of place in a format statement. Other years have interesting changes. The v1 data end in 1990, so not all that much can be said about changes between 1991 and 2011. Still, the other bits have an interesting nature.

I’m just going to give the “average of temperatures for a year” and not mention individual months at this tim. Later, in particular cases if interesting, I’ll add a comment.

We’d expect these not to change much for old data, as there ought not be much you can do but say “They read the thermometer and this is what they got.” Much beyond that is more fabrication than clarification. In the very old records, that’s what we see.

```Year v1   v2
1865 15.0 15.0
1866 15.1 15.1
1867 16.0 16.0
1868 16.3 16.0
1869 15.9 15.9
1870 15.3 15.8
1871 15.5 16.1
1872 15.7 16.2
```

So we see ‘not much’ in 1865-1869 changing. 2/10 in one year can be some trivial correction or thermometer count change. And that is what we find. In v1, there are 5 thermometers in use until 1872 when it becomes 6. For v2, there have been more thermometers found. 7 in 1865-66 and then 9. In 1870 they go to 10, and 11 in ’71 and ’72. So we can speculate that the thermometers “found” for 1871, ’72 were in generally warmer places than the prior ones.

That’s what I mean by “characterize the data”. Before putting in a lot of speculative ‘fixes’ for the data bias, see what kinds of bias might be there…

By 1900, there are many more thermometers.

```     v1          v2
Year count temp  count temp
1900 18    17.1  71    17.0
1901 18    17.1  77    17.2
1902 18    17.3  80    17.1
1903 18    17.0  88    17.0
1904 19    16.8  88    16.7
1905 19    16.6  91    16.8
```

What I find most remarkable about this is the stability of the average of those readings, despite the number of instruments “found” being 4 time the original number.

Then something a bit odd starts to happen in the 1940 to 1960 range. The newer data set has a pronounced “cooler” character in that time. Many more thermometers added, so one can only wonder where they were finding them. I’ll use the 1950s as a representative sample as that avoids any question of the ‘war years’. At a casual look, I don’t see much difference. Those decades are all similar.

```     v1          v2
Year count temp  count temp
1950 43    19.3  312   18.2
1951 73    19.9  320   18.3
1952 73    20.0  327   18.1
1953 73    19.9  330   18.1
1954 74    20.1  338   18.3
1955 75    20.0  337   18.3
```

That’s about 2 C of “cooling” in the 1950’s that has to be corrected out of the thermometer changes by whatever “magic sauce” is expected to “fix it”… Significantly more than the actual ‘warming’ signal that is claimed to be found. A small 25% error in the “fix” is all it would take to create “global warming” via cooling that past…

It isn’t just those decades, either. Since 1934 ish was a ‘hot year’ in the USA, it’s worth noting that it changed in Australia, too:

```     v1          v2
Year count temp  count temp
1930 31    19.3  233   18.1
1931 32    19.3  237   17.7
1932 32    19.3  238   17.9
1933 32    19.1  239   17.7
1934 32    19.4  239   17.9
1935 32    19.3  241   17.6
```

Knocking about 1 C to 1.5 C out per line.

When you get to the 1980 -90 time period, near the end of v1, we still have some cooling in v2 in comparison.

```     v1          v2
Year count temp  count temp
1985 82    20.9  468   18.6
1986 81    20.9  463   19.0
1987 80    20.9  351   19.4
1988 79    21.4  327   19.9
1989 78    20.7  320   19.3
1990 78    20.3  419   19.5
```

I can’t for the life of me figure out why the thermometer counts bounce around so much from year to year, this late in the history, but they do. That, IMHO, just has to jerk the results around.

But by this point, we’re down to about a 1 C to 3/4 C cooling of the data. In 2008 – 2009 v2 has averages of 19.8 and 19.5 respectively, so no real change from the mid ’80s.

So what does this all mean?

At present, not too much. It does show that the impact of thermometer change is about 4 times that of the implied “global warming” signal being sought. It does show that the changes in the data via collection swamp the changes over time in a given set. It does show that v1 is very different from v2, largely due to the changing thermometers in the set. And it does show that v2 is a ‘cooler’ set of thermometers in the past than the ones used for v1. This, IMHO, highlights the “splice problem” inherent in all these data sets. The number of thermometers are small in the past, and grow over time (up until The Great Dying in 1990… for v2, the number of thermometers drops back to just 45 in 1993 ). Given that we see whole degree sized changes in the data from thermometer count changes of even lesser degree, how can we expect that plunge from 456 in 1991 to 45 in 1993 does not create a problem?…

The count then rises slowly back to 65 in 2009 when v2 ends. So one can only wonder what places are being measured from 1993 to 2012, and are they at all related to those measured in 1953?

Frankly, other than being rather cold at the bottom of the Little Ice Age, or having most of the thermometers down in the more southern cool areas then (which they were, BTW); this mostly looks like a game of “pick your thermometers” rather than one of “measure the change of heat flow”.

### In Conclusion

So that’s your “tease” on the v1 vs v2 vs v3 work.

It is proceeding. I’ve now got the test rig all set up and the FORTRAN reading v1. Next up is load v3 and then I can skip the v2 comparisons, if desired.

At first blush, looking only at Australia, changes of thermometer count are going to be the major issue.

The two biggest technical points are that the Country Codes all get scrambled, and that the WMO minor number is a different length. So comparisons by continent ought to be fairly easy (that part of CC is mostly the same) while individual station and country are a bit more complex.

I ought to have dT/dt running on v1 and v3 in a couple of days, and then we’ll have more interesting things to compare.

A technical managerial sort interested in things from Stonehenge to computer science. My present "hot buttons' are the mythology of Climate Change and ancient metrology; but things change...
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### 17 Responses to GHCN V1 vs V2 (V3 soon) Teaser

1. Baa Humbug says:

It looks like tedious (albeit interesting) work EM and I thank you for it.

2. Sandy McClintock says:

I look forward to hearing your results :)
Have ‘they’ (Australian Bureau of Metiorology) presented GHCN with the homogenised data, or the raw data?
For many places I see the early 1900s being biased downwards in homogenised datasets for rural places. The opposite is true for the big cities

3. E.M.Smith says:

@Baa Humbug:

Yup, quite tedious… One of the saving graces of being the sort of person who once read the entire phone book in my home town looking for patterns…. We have our moments ;-)

(It was only 3329 people in the town and fewer families with phones, so about 56 pages total. Less than 1000 families… and I learned some things about the frequency of some surnames, like Smith and Gonzales vs Zilch ;-)

So I’m well suited to being a programmer and doing data analysis work. Oddly, I do get ‘burnt out’ on it after a while and need a ‘people break’… It was that which convinced me I could be happy as a manager. Now I’m more comfortable managing people and departments than doing ‘data stuff detail work’, but still find it cathartic in modest doses. So doing an ‘immersion’ for a few days into “just technical stuff” lets a lot of more vexing issues be submerged for a while…

Or….

Want to get a hard bit of code done early? Have a dozen employee work reviews that need doing ;-)

FWIW, I’ve now got FTP service to the laptop from the Linux box, so I can suck stuff over here trivially. Just did New Zealand. It’s not all THAT interesting, but it does have the same ‘cooling’ in the middle years. So compare about 1950-55 in these two. The first is v1, the second is v2. The ‘middle years’ have more cool thermometers. So looks like all that’s left is to get dT/dt going on both, then graph up the results (for folks who don’t like long tables like these ;-)

New Zealand v1:

```Thermometer Records, Average of Monthly Data and Yearly Average
by Year Across Month, with a count of thermometer records in that year
--------------------------------------------------------------------------
YEAR  JAN  FEB  MAR  APR  MAY  JUN JULY  AUG SEPT  OCT  NOV  DEC  YR COUNT
--------------------------------------------------------------------------
1864 17.2 17.6 15.0 15.0 11.2  8.5  9.2  8.8 11.2 12.6 14.3 17.2 13.1    4
1865 17.7 18.1 16.4 13.8 10.6  9.0  7.7  8.1 10.2 10.8 13.6 15.2 12.6    4
1866 17.0 17.4 14.8 12.7 10.8  8.8  8.0  9.2 11.2 13.2 15.1 16.3 12.9    5
1867 18.0 17.7 15.5 14.2 10.8  8.0  9.2  8.4 10.6 12.0 12.6 15.8 12.7    5
1868 15.5 15.2 14.6 13.0 10.3  7.7  7.7  7.2  9.5 11.2 13.5 14.4 11.6    5
1869 16.1 16.5 14.8 13.0  9.7  8.5  7.0  8.6 10.7 11.9 13.5 16.8 12.3    5
1870 17.1 16.9 14.4 11.8 10.2  9.6  7.6  7.8  9.9 12.6 14.7 13.7 12.2    5
1871 17.0 15.7 15.3 12.7 10.2  8.1  8.1  8.5  9.3 11.8 12.8 15.0 12.0    5
1872 17.8 17.0 15.4 13.7 11.4  8.2  7.9  7.6 10.5 11.5 14.5 17.9 12.8    5
1873 16.1 16.0 15.5 12.4 11.4  9.5  7.3  9.0  9.5 12.4 13.6 16.2 12.4    5
1874 17.1 16.4 15.5 12.9 10.0  7.6  7.0  8.6  9.3 10.9 13.7 15.7 12.1    5
1875 17.1 16.8 15.2 14.4 10.7  8.5  8.0  7.8  9.3 11.5 12.3 16.3 12.3    5
1876 17.0 17.3 15.9 13.4 11.0  8.2  7.2  8.4 10.0 13.6 14.7 16.1 12.7    5
1877 16.9 16.6 15.2 12.2  9.3  8.6  6.7  8.6  9.8 11.8 13.9 15.5 12.1    5
1878 14.4 14.7 14.5 13.5  9.4  8.4  7.3  7.1 11.2 11.7 13.3 15.7 11.8    6
1879 15.9 14.7 15.2 12.0 11.7  7.9  7.0  7.8 10.9 11.8 13.0 15.1 11.9    6
1880 16.6 17.3 15.7 14.0 11.4  8.4  8.2  8.5 11.0 11.6 14.4 14.8 12.7    6
1881 15.4 17.0 15.6 14.1 11.8  9.8  9.1  9.1 11.3 11.7 13.1 14.9 12.7    6
1882 16.1 15.2 16.0 13.9 11.1  9.9  8.6  8.4 11.0 11.0 12.9 15.9 12.5    6
1883 17.2 17.6 15.8 12.5 11.3  9.4  8.2  8.9  9.5 11.0 12.0 14.2 12.3    6
1884 14.0 14.7 14.2 12.2  9.8  9.0  8.2  9.1 10.2 11.0 12.2 14.1 11.6    6
1885 15.1 16.2 15.4 12.7 10.5  9.9  8.3  8.8  9.8 11.2 13.0 14.1 12.1    6
1886 16.0 17.1 15.4 13.9 11.5  8.2  7.6  8.0  9.6 11.4 13.5 14.5 12.2    6
1887 18.7 17.2 16.2 14.1 10.7  9.3  8.2  7.9  9.4 11.2 12.1 14.6 12.5    6
1888 16.1 14.9 14.5 12.0 10.4  9.1  8.1  9.3  9.8 11.6 11.4 13.1 11.7    6
1889 17.4 16.4 14.7 12.8 11.0  8.0  7.7  8.3 10.8 12.3 13.1 15.7 12.4    6
1890 15.3 16.5 14.9 14.1 10.5  9.4  8.1  8.8 10.8 12.6 12.9 15.8 12.5    6
1891 15.6 15.9 14.8 12.9 10.1  7.4  7.5  8.6 10.9 13.1 14.2 17.1 12.3    6
1892 16.5 16.8 16.5 14.2 11.3  9.9  8.5  9.9 10.2 11.6 15.1 14.9 12.9    6
1893 16.4 16.0 13.6 13.7 12.2  8.9  8.8 10.7 11.0 13.4 15.0 14.8 12.9    6
1894 17.4 17.1 15.1 12.4 10.9  9.4  8.4  8.8  9.7 12.5 13.6 17.1 12.7    6
1895 17.7 16.8 14.5 11.7 10.6  8.8  6.4  7.7 10.6 11.6 12.7 16.4 12.1    6
1896 16.4 15.9 14.9 13.0 10.4  9.2  8.5  8.3 10.6 10.6 12.1 15.8 12.1    6
1897 17.2 16.3 15.0 12.9 10.7  8.8  8.1  8.1 10.3 10.9 12.9 14.1 12.1    6
1898 15.9 14.3 13.7 13.0 10.7  8.9  7.9  8.3 10.3 11.4 13.3 16.1 12.0    6
1899 16.5 15.6 15.2 13.6 10.1  9.1  6.7  7.9 10.6 11.4 12.9 14.5 12.0    6
1900 15.3 15.1 15.5 14.0 10.9  8.4  8.1  9.8 10.6 12.4 12.6 14.5 12.3    6
1901 15.7 15.6 13.9 13.3 10.6  9.9  6.9  7.9 10.5 12.0 12.4 14.2 11.9    6
1902 16.1 16.0 15.6 12.8  9.7  9.0  7.3  8.1  8.2 10.1 11.6 12.9 11.4    6
1903 14.3 15.5 14.3 12.5 10.6  7.8  7.9  7.5  9.6 13.0 14.5 16.2 12.0    6
1904 16.4 16.4 15.2 12.9 10.7  8.9  7.8  8.1 10.2 11.3 12.2 13.4 12.0    6
1905 14.1 16.1 15.2 12.0 10.5  7.8  7.5  8.3  9.7 11.0 13.0 14.4 11.6    6
1906 14.6 14.4 13.5 11.9 10.1  8.5  7.9  8.3  9.6 11.9 12.7 15.1 11.5    6
1907 16.9 17.0 16.2 14.1 10.2  7.8  7.6  8.2  9.4 10.7 13.8 16.5 12.4    6
1908 16.6 15.9 15.3 12.7 11.0  9.1  6.8  7.5 10.7 11.5 13.1 14.0 12.0    6
1909 14.8 16.6 15.9 12.6 11.4  9.1  8.2  9.2 10.2 11.9 13.8 16.6 12.5    6
1910 16.5 17.5 15.7 12.3 11.4  9.3  7.3  8.9 10.2 12.5 14.2 15.6 12.6    6
1911 16.0 15.8 16.4 15.1 11.0  8.9  7.6  8.7  9.9 11.3 12.3 12.6 12.1    6
1912 14.8 14.1 13.3 12.5  9.4  8.0  7.7  7.8 10.7 11.5 12.5 14.9 11.4    6
1913 16.2 15.3 14.9 11.5  8.3  7.5  8.1  8.6 10.9 12.0 13.0 14.0 11.7    6
1914 17.1 16.2 15.3 13.2  9.3  7.8  7.6  8.0  9.9 11.5 12.3 13.0 11.8    6
1915 16.2 15.2 13.6 11.9 10.5  8.3  8.9  9.0 11.8 13.2 13.2 15.5 12.3    6
1916 16.3 18.0 17.5 14.0 11.4 10.5  8.5  8.7 10.8 12.0 14.6 17.0 13.3    6
1917 17.8 16.2 15.9 14.3 11.8  9.3  9.3  8.6 11.3 12.6 14.5 15.1 13.1    6
1918 16.8 17.8 15.8 13.5 10.5  8.6  6.2  8.3  9.9 12.0 12.5 13.6 12.1    6
1919 14.8 16.6 14.9 12.0  9.7  8.3  8.1  8.8  9.1 11.8 12.0 14.0 11.7    6
1920 14.8 16.8 15.1 13.3  9.0  8.4  8.3  7.6  9.5 12.2 12.5 15.1 11.9    6
1921 16.0 15.9 14.8 12.3 11.1  8.8  7.8  8.4 10.7 12.1 13.3 14.7 12.2    6
1922 16.6 17.1 14.2 13.0 10.6  7.5  7.5  8.9 10.2 13.3 13.2 15.3 12.3    6
1923 16.7 15.0 14.1 11.4 10.8  7.9  7.0  7.7 10.7 12.1 15.3 16.7 12.1    6
1924 17.3 17.8 16.4 15.7 10.8  8.8  7.7  9.1 11.5 13.0 14.5 14.9 13.1    6
1925 16.8 16.0 14.4 12.6 10.0  7.5  8.2  8.1  9.3 12.1 12.5 14.9 11.9    6
1926 16.6 14.8 14.2 14.2 10.6  8.3  8.1  8.6 10.3 11.9 12.6 14.6 12.1    6
1927 16.9 17.2 15.1 12.0  9.9  7.0  7.9  7.9 10.3 11.9 12.4 14.5 11.9    6
1928 16.6 17.8 16.5 14.9 11.3  8.3  8.6  8.7 10.2 12.1 13.4 15.0 12.8    6
1929 16.4 16.1 15.3 12.8  9.8  9.3  7.4  8.1  9.2 11.9 13.4 14.4 12.0    6
1930 15.2 15.9 14.6 12.9 10.0  7.6  6.4  8.5  8.8 10.4 11.8 14.6 11.4    6
1931 15.4 14.6 14.1 12.5 10.1  7.4  7.4  7.8  8.5 12.0 14.1 15.1 11.6    6
1932 15.0 15.7 14.9 13.2  9.7  7.9  6.6  7.0  9.7 12.4 13.8 14.9 11.7    6
1933 17.0 17.0 15.8 12.8  9.8  7.1  7.6  8.3 10.3 11.8 13.1 15.7 12.2    6
1934 15.1 16.4 14.6 13.6  9.7  8.1  7.0  8.8 10.5 11.9 15.1 18.3 12.4    6
1935 18.6 18.4 16.4 14.1  9.8  8.0  7.3  8.6  8.6 12.1 11.9 17.1 12.6    6
1936 16.8 16.1 13.4 13.8  9.3  8.2  7.1  9.3  9.8 12.8 13.4 14.2 12.0    6
1937 15.3 14.3 14.9 12.3 10.4  7.0  7.0  8.9  9.9 11.3 13.9 16.4 11.8    6
1938 17.6 18.9 17.1 15.7 11.6  8.4  6.6  8.6 10.3 12.4 14.1 14.2 13.0    6
1939 14.2 15.1 15.2 13.1 10.6  9.3  5.9  7.8  9.7 11.1 13.3 15.7 11.8    6
1940 16.9 14.9 15.0 12.3 10.6  9.1  8.5  9.8 11.0 12.2 13.2 16.2 12.5    7
1941 17.6 17.1 16.7 12.7 11.6  8.3  8.2  8.0 10.2 10.8 12.6 14.2 12.3    8
1942 14.9 15.5 14.6 13.3 11.2  9.5  8.7  9.0 10.7 12.2 13.1 14.1 12.2    8
1943 15.8 16.0 14.4 13.4 10.0  8.0  8.0  7.9 10.0 11.3 13.7 15.5 12.0    8
1944 16.3 16.4 15.3 13.8 10.5  8.3  8.5  8.4  9.5 11.5 12.8 13.9 12.1    8
1945 16.5 16.8 14.9 12.9 10.0  7.8  7.4  9.7 10.1 10.3 13.3 13.2 11.9    8
1946 15.1 16.1 15.1 13.2 11.5  9.3  9.0  9.0 10.3 11.0 10.9 13.5 12.0    8
1947 14.7 15.5 15.1 12.9 11.0  8.8  8.5  9.3 10.5 11.6 13.4 15.3 12.2    8
1948 16.7 15.9 15.5 13.2 11.2  8.8  9.0  9.0 10.5 11.5 12.9 14.6 12.4    8
1949 15.0 16.7 14.4 12.0 10.7  9.1  9.1  8.7 10.0 12.5 13.1 14.6 12.2    8
1950 16.2 15.5 14.1 12.4 12.1  8.7  8.3  8.3 10.3 12.2 13.6 14.7 12.2    8
1951 16.2 16.4 15.8 13.8 10.3  7.9  8.5  8.3 10.3 12.0 13.7 14.1 12.3   12
1952 15.4 17.2 14.9 13.4 11.0  9.2  7.7  9.6 10.8 12.4 13.6 15.7 12.6   12
1953 15.8 15.8 15.3 13.2 11.5  9.6  8.6  9.5 10.6 11.6 14.5 15.7 12.6   12
1954 16.4 17.4 16.6 13.0 11.8  9.9  8.2  8.8 10.0 11.5 14.7 15.5 12.8   12
1955 16.6 17.9 16.2 14.4 12.3  8.6  7.9  9.7 10.8 12.8 13.8 15.8 13.1   12
1956 18.4 16.9 15.0 15.9 11.8 10.1  8.6  9.0 10.7 12.7 14.1 15.7 13.2   12
1957 16.7 17.6 16.6 14.2 11.5  8.9  7.6  9.4 10.5 11.3 13.4 14.3 12.7   13
1958 15.6 17.6 16.3 12.3 10.9  8.9  7.5  9.0  9.9 13.1 14.2 16.1 12.6   13
1959 17.2 16.5 15.6 13.4  9.1  8.3  8.2  9.0 10.7 11.2 13.6 15.7 12.4   13
1960 16.6 16.5 14.7 13.0 11.4  9.4  8.5  8.7 10.5 12.7 13.5 14.4 12.5   13
1961 16.3 16.6 14.8 13.3 10.7  8.8  8.1  8.5  9.9 13.4 14.0 16.5 12.6   14
1962 17.8 16.8 16.0 13.6 12.7 10.0  9.1  9.5 10.7 13.6 14.1 15.6 13.3   15
1963 17.1 17.8 15.3 12.5 10.9  8.6  8.3  8.1 10.5 12.3 12.9 14.7 12.4   15
1964 15.7 16.7 15.6 13.0 10.5  8.9  9.2  9.0 10.3 12.0 13.5 16.2 12.5   15
1965 17.7 15.8 15.2 12.9 10.3  8.6  7.2  8.5 10.3 10.9 13.2 15.1 12.1   15
1966 16.4 18.3 16.3 13.6 10.2  8.6  8.0  8.2 10.2 11.8 13.2 15.0 12.5   15
1967 16.3 16.4 16.1 13.6 10.9  8.3  8.0 10.4  9.9 12.7 13.5 15.6 12.6   15
1968 16.4 16.7 17.6 13.7 11.8  9.4  7.8  9.5  9.8 11.6 13.2 14.6 12.7   15
1969 16.4 16.1 15.5 12.8 10.9  7.9  7.4  9.0 11.7 11.1 14.3 16.9 12.5   15
1970 17.9 16.8 16.6 14.2 10.5  9.6  9.1  9.8 11.0 12.5 14.2 16.2 13.2   15
1971 17.1 17.6 15.8 14.0 12.1 11.1  8.5 10.2 10.9 11.9 13.7 15.7 13.2   13
1972 15.8 15.7 16.4 13.8 11.0  8.0  9.0  8.3 11.1 12.1 14.5 14.2 12.5   13
1973 16.2 16.6 15.7 13.4 11.5 10.1  8.4  9.6 11.3 12.3 14.1 15.6 12.9   13
1974 16.0 18.2 14.7 14.1 11.5  9.5  9.5  9.0 11.3 12.0 14.5 16.8 13.1   13
1975 17.9 17.5 16.9 14.3 12.1  8.9  8.6  9.9 10.7 12.3 13.0 14.5 13.1   13
1976 16.2 14.8 15.7 13.8 10.9  8.6  8.6  9.6 10.0 11.2 12.4 15.2 12.2   13
1977 15.6 16.5 15.8 13.6 10.2  9.3  8.8  9.3  9.0 11.4 12.8 14.7 12.2   13
1978 16.9 17.2 15.9 15.1 11.8  9.1  9.3  9.8 10.5 11.2 13.5 15.4 13.0   13
1979 16.8 16.5 16.5 13.7 11.1 10.2  9.2  9.1 10.8 12.0 14.2 15.6 13.0   13
1980 16.8 17.0 15.0 13.2 11.5  9.4  8.6  9.3 11.1 12.6 12.6 15.0 12.7   13
1981 17.3 17.0 16.8 14.6 11.1 10.1  9.0  8.6 10.1 11.8 13.6 16.4 13.0   16
1982 16.5 17.2 15.5 12.4 11.5  8.7  8.0  9.4 10.2 10.6 13.9 14.1 12.3   16
1983 15.2 15.3 14.9 13.2 10.8  9.2  8.1  9.4 10.6 12.3 13.3 14.5 12.2   15
1984 15.3 16.7 16.4 13.5 10.7 10.2  9.5 10.0 10.6 11.7 14.4 16.4 12.9   15
1985 17.7 17.0 15.5 13.7 11.2 10.2  9.4  9.2 10.9 11.4 13.1 15.8 12.9   15
1986 17.8 17.1 15.5 14.0 11.2  9.1  8.0  8.4  9.9 12.2 13.3 15.2 12.6   14
1987 17.6 16.2 14.9 13.4 11.6  9.4  8.7 10.2 10.5 12.0 14.0 15.3 12.8   14
1988 16.3 17.3 14.9 12.6 10.6  9.9  9.6  9.6 11.6 12.8 14.3 16.4 13.0   14
1989 16.8 16.5 15.6 13.4 11.3  9.6  8.1  9.7 11.4 12.9 13.7 14.4 12.8   13
1990 15.9 17.7 15.6 13.1 11.0  8.7  8.3  9.1  9.5 12.3-99.0-99.0 12.1   12
AA   16.4 16.5 15.4 13.3 10.9  8.9  8.2  8.9 10.4 11.9 13.5 15.2 12.5
Ad   16.4 16.4 15.3 13.3 10.8  8.8  8.0  8.7 10.3 11.9 13.4 15.2 12.4

For Country Code 511

From input file ./data/v1.mean
```

New Zealand v2:

```Thermometer Records, Average of Monthly Data and Yearly Average
by Year Across Month, with a count of thermometer records in that year
--------------------------------------------------------------------------
YEAR  JAN  FEB  MAR  APR  MAY  JUN JULY  AUG SEPT  OCT  NOV  DEC  YR COUNT
--------------------------------------------------------------------------
1880 16.6 17.3 15.7 14.0 11.4  8.4  8.2  8.5 11.0 11.6 14.4 14.8 12.7    6
1881 15.4 17.0 15.6 14.1 11.8  9.8  9.1  9.1 11.3 11.7 13.1 14.9 12.7    4
1882 16.1 15.2 16.0 13.9 11.1  9.9  8.6  8.4 11.0 11.0 12.9 15.9 12.5    4
1883 17.2 17.6 15.8 12.5 11.3  9.4  8.2  8.9  9.5 11.0 12.0 14.2 12.3    4
1884 14.0 14.7 14.2 12.2  9.8  9.0  8.2  9.1 10.2 11.0 12.2 14.1 11.6    4
1885 15.1 16.2 15.4 12.7 10.5  9.9  8.3  8.8  9.8 11.2 13.0 14.1 12.1    4
1886 16.0 17.1 15.4 13.9 11.5  8.2  7.6  8.0  9.6 11.4 13.5 14.5 12.2    4
1887 18.7 17.2 16.2 14.1 10.7  9.3  8.2  7.9  9.4 11.2 12.1 14.6 12.5    4
1888 16.1 14.9 14.5 12.0 10.4  9.1  8.1  9.3  9.8 11.6 11.4 13.1 11.7    4
1889 17.4 16.4 14.7 12.8 11.0  9.4  7.7  8.3 10.8 12.3 13.1 15.7 12.5    4
1890 15.3 16.5 14.9 14.1 10.5  9.4  8.1  8.8 10.8 12.6 12.9 15.8 12.5    4
1891 15.6 15.9 14.8 12.9 10.1  7.4  7.5  8.6 10.9 13.1 14.2 17.1 12.3    4
1892 16.5 16.8 16.5 14.2 11.3  9.9  8.5  9.9 10.2 11.6 15.1 14.9 12.9    4
1893 16.4 16.0 13.6 13.7 12.2  8.9  8.8 10.7 11.0 12.9 15.0 14.8 12.8    4
1894 17.4 17.1 15.1 12.4 10.9  9.4  8.4  8.8  9.7 12.5 13.6 17.1 12.7    5
1895 17.7 16.8 14.5 11.7 10.6  8.8  6.4  7.7 10.6 11.6 12.7 16.4 12.1    5
1896 16.4 15.9 14.9 13.0 10.4  9.2  8.5  8.3 10.6 10.6 12.1 15.8 12.1    5
1897 17.2 16.3 15.0 12.9 10.7  8.8  8.1  8.1 10.3 10.9 12.9 14.1 12.1    5
1898 15.9 14.3 13.7 13.0 10.7  8.9  7.9  8.3 10.3 11.4 13.3 16.1 12.0    5
1899 16.5 15.6 15.2 13.6 10.1  9.1  6.7  7.9 10.6 11.4 12.9 14.5 12.0    5
1900 15.3 15.1 15.5 14.0 10.9  8.4  8.1  9.8 10.6 12.4 12.6 14.5 12.3    5
1901 15.4 15.3 13.7 13.0 10.4  9.6  7.4  7.6 10.1 11.6 11.8 13.9 11.7    5
1902 15.9 15.8 15.5 12.6  9.8  9.0  7.2  8.1  8.1  9.8 11.1 12.3 11.3    5
1903 13.9 14.8 13.7 12.3 10.7  7.7  8.0  7.4  9.1 12.4 13.6 15.6 11.6    5
1904 15.5 15.7 15.1 12.4 10.0  8.9  7.6  8.0 10.1 11.2 11.9 13.1 11.6    5
1905 13.7 15.8 14.8 11.8 10.4  7.7  7.4  8.4  9.8 10.9 12.9 14.1 11.5    6
1906 14.4 14.5 13.0 11.6 10.0  8.7  8.0  8.3  9.4 11.5 12.4 14.8 11.4    6
1907 16.4 16.6 15.7 14.1 10.1  7.9  7.6  8.0  9.2 10.3 13.1 15.8 12.1    6
1908 16.0 15.4 14.9 12.5 10.9  9.1  7.0  7.4 10.2 11.3 12.5 13.7 11.7    6
1909 14.6 16.2 15.6 12.6 11.4  8.5  8.1  9.2  9.7 11.7 13.4 16.2 12.3    6
1910 15.9 17.2 15.4 12.3 11.2  9.3  7.2  8.7  9.8 12.0 13.5 15.1 12.3    6
1911 15.7 15.3 15.9 14.9 11.0  8.9  7.7  8.5  9.7 11.0 12.0 12.1 11.9    6
1912 14.7 13.8 13.3 12.3  9.4  8.1  7.9  7.7 10.5 11.2 12.3 14.5 11.3    6
1913 16.1 14.9 14.5 11.3  8.4  7.4  7.9  8.6 10.4 11.7 12.9 13.8 11.5    6
1914 16.6 15.9 15.0 13.1  9.7  7.9  7.5  7.8  9.6 11.1 11.9 12.6 11.6    6
1915 16.2 15.2 13.6 11.9 10.5  8.3  8.9  9.0 11.8 13.2 13.2 15.5 12.3    5
1916 16.3 18.0 17.5 14.0 11.4 10.5  8.5  8.7 10.8 12.0 14.6 17.0 13.3    5
1917 17.8 16.2 15.9 14.3 11.8  9.3  9.3  8.6 11.3 12.6 14.5 15.1 13.1    5
1918 16.8 17.8 15.8 13.5 10.5  8.6  6.2  8.3  9.9 12.0 12.5 13.6 12.1    5
1919 14.8 16.6 14.9 12.0  9.7  8.3  8.1  8.8  9.1 11.8 12.0 14.0 11.7    5
1920 14.8 16.8 15.1 13.3  9.5  8.4  8.3  7.6  9.5 12.2 12.5 15.1 11.9    5
1921 16.0 15.9 14.8 12.3 11.1  8.8  7.8  8.4 10.7 12.1 13.3 14.7 12.2    5
1922 16.6 17.1 14.2 13.0 10.6  7.5  7.5  8.9 10.2 13.3 13.2 15.3 12.3    5
1923 16.7 15.0 14.1 11.4 10.8  7.9  7.0  7.7 10.7 12.1 15.3 16.7 12.1    5
1924 17.3 17.8 16.4 15.7 10.8  8.8  7.7  9.1 11.5 13.0 14.5 14.9 13.1    5
1925 16.8 16.0 14.4 12.6 10.0  7.5  8.2  8.1  9.3 12.1 12.5 14.9 11.9    5
1926 16.6 14.8 14.2 14.2 10.6  8.3  8.1  8.6 10.3 11.9 12.6 14.6 12.1    5
1927 16.9 17.2 15.1 12.0  9.9  7.0  7.9  7.9 10.3 11.9 12.4 14.5 11.9    5
1928 16.6 17.8 16.5 14.9 11.3  8.3  8.6  8.7 10.2 12.1 13.4 15.0 12.8    5
1929 16.4 16.1 15.3 12.8  9.8  9.3  7.4  8.1  9.2 11.9 13.4 14.4 12.0    5
1930 15.2 15.9 14.6 12.9 10.0  7.6  6.4  8.5  8.8 10.4 11.8 14.6 11.4    5
1931 15.4 14.6 14.1 12.5 10.1  7.4  7.4  7.8  8.5 12.0 14.1 15.1 11.6    5
1932 15.0 15.7 14.9 13.2  9.7  7.9  6.6  7.0  9.7 12.4 13.8 14.9 11.7    5
1933 17.0 17.0 15.8 12.8  9.8  7.1  7.6  8.3 10.3 11.8 13.1 15.7 12.2    5
1934 15.1 16.4 14.6 13.6  9.7  8.1  7.0  8.8 10.5 11.9 15.1 18.3 12.4    5
1935 18.6 18.4 16.4 14.1  9.8  8.0  7.3  8.6  8.6 12.1 11.9 17.1 12.6    5
1936 16.8 16.1 13.4 13.8  9.3  8.2  7.1  9.3  9.8 12.8 13.4 14.2 12.0    5
1937 15.3 14.3 14.9 12.3 10.4  7.0  7.0  8.9  9.9 11.3 13.9 16.4 11.8    5
1938 17.6 18.9 17.1 15.7 11.6  8.4  6.6  8.6 10.3 12.4 14.1 14.2 13.0    5
1939 13.8 14.6 14.5 12.7 10.2  9.1  6.0  7.6  9.4 10.8 12.6 15.2 11.4    6
1940 16.5 14.6 15.8 13.2 11.8  9.9  9.3 10.6 11.5 12.5 13.6 16.2 13.0    7
1941 18.0 17.6 17.3 13.7 12.6  9.6  8.6  8.4 10.1 10.6 12.4 13.9 12.7    8
1942 14.6 15.4 14.4 13.4 11.6 10.0  9.2  9.2 10.7 11.8 12.8 14.0 12.3    8
1943 15.4 15.8 14.3 13.6 10.6  7.7  8.8  8.5 10.3 11.4 13.4 15.1 12.1    8
1944 15.7 16.2 15.5 13.9 11.0  8.9  9.0  8.8  9.6 11.3 12.5 14.0 12.2    8
1945 16.4 17.7 15.1 13.0 10.6  8.4  8.1  9.8 10.0 10.2 12.7 13.2 12.1    8
1946 14.8 15.7 14.8 13.1 11.8  9.7  9.2  9.2 10.3 11.0 11.0 13.3 12.0    8
1947 14.5 15.3 14.8 13.0 11.2  9.2  8.9  9.4 10.3 11.5 12.9 14.7 12.1    8
1948 16.0 14.5 14.4 12.5 10.7  8.6  8.5  8.5  9.7 10.5 11.8 13.4 11.6    9
1949 13.8 15.3 13.5 11.6 10.4  8.6  8.4  8.3  9.2 11.0 12.2 13.7 11.3    9
1950 15.1 14.5 13.1 11.3 10.9  8.7  7.6  7.7  9.1 10.8 12.1 13.2 11.2   10
1951 15.0 15.3 14.9 13.1 10.0  7.8  8.2  8.1  9.4 10.9 12.9 13.5 11.6   15
1952 14.6 16.1 14.1 12.8 10.5  9.0  8.0  9.4 10.4 11.5 12.8 14.8 12.0   15
1953 15.0 14.9 14.4 12.5 11.1  9.2  8.3  9.0  9.9 10.8 13.5 14.9 12.0   16
1954 15.3 16.2 15.8 12.7 11.5  9.5  7.9  8.6  9.5 10.9 13.6 14.4 12.2   16
1955 16.2 17.2 15.8 14.0 12.2  8.8  8.2  9.7 10.8 12.6 13.6 15.3 12.9   15
1956 17.6 16.2 14.5 15.3 11.6 10.1  8.7  9.1 10.6 12.4 13.9 15.5 13.0   15
1957 16.7 17.3 16.3 14.1 11.6  9.1  8.1  9.4 10.5 11.5 13.1 14.2 12.7   15
1958 15.3 17.1 15.9 12.2 11.1  9.1  7.9  9.3 10.0 13.0 13.9 15.8 12.6   15
1959 16.7 16.2 15.3 13.5  9.6  8.6  8.4  9.1 10.7 11.1 13.2 15.1 12.3   15
1960 15.9 16.3 14.6 13.1 11.5  9.7  8.8  8.9 10.4 12.5 13.4 14.2 12.4   15
1961 15.5 15.9 14.4 13.0 10.7  9.2  8.4  8.8  9.7 12.5 13.2 15.5 12.2   17
1962 16.6 16.1 15.5 13.4 12.6 10.3  9.3  9.5 10.4 12.9 13.4 14.9 12.9   19
1963 16.1 16.8 14.6 12.4 10.8  8.9  8.5  8.0 10.2 11.4 12.1 13.8 12.0   19
1964 15.0 15.7 14.9 12.6 10.5  9.1  9.3  8.8 10.1 11.5 12.5 15.4 12.1   19
1965 16.7 15.1 14.9 12.5 10.2  8.9  7.7  8.5 10.0 10.4 12.5 14.2 11.8   19
1966 15.5 16.9 15.3 13.2 10.4  8.8  8.2  8.4  9.9 11.1 12.5 14.3 12.0   19
1967 15.6 15.8 15.6 13.2 10.8  8.7  8.2 10.3  9.7 12.1 12.7 14.9 12.3   19
1968 15.6 15.9 16.5 13.6 11.8  9.7  8.2  9.7  9.7 11.2 12.7 14.1 12.4   19
1969 15.8 15.4 14.8 12.4 10.7  8.6  7.9  9.1 11.3 10.6 13.4 16.0 12.2   19
1970 16.7 16.1 15.9 13.7 10.7  9.8  9.4  9.9 10.7 11.9 13.4 15.7 12.8   19
1971 16.5 17.0 15.4 13.6 11.9 10.8  8.5 10.0 10.6 11.8 13.2 15.1 12.9   17
1972 15.4 15.3 15.9 13.3 10.7  7.8  8.6  8.1 10.7 11.8 14.0 13.9 12.1   17
1973 15.8 16.2 15.4 13.1 11.0  9.7  8.3  9.4 11.1 11.9 13.6 15.3 12.6   17
1974 15.6 17.6 14.4 13.9 11.3  9.2  9.2  9.0 11.1 11.8 14.0 16.4 12.8   17
1975 17.5 17.0 16.4 14.1 11.7  8.8  8.5  9.4 10.5 11.9 12.6 14.1 12.7   17
1976 15.8 14.5 15.3 13.4 10.7  8.4  8.5  9.5  9.9 11.0 12.1 15.0 12.0   17
1977 15.3 16.1 15.4 13.4 10.1  9.2  8.8  9.3  9.1 11.2 12.7 14.6 12.1   17
1978 16.5 16.8 15.6 14.7 11.6  9.0  9.2  9.8 10.3 11.1 13.2 15.3 12.8   17
1979 16.3 16.1 16.1 13.5 10.9 10.1  9.2  9.1 10.6 11.8 14.0 15.3 12.8   17
1980 16.3 16.5 14.8 13.1 11.2  9.3  8.5  9.2 11.0 12.3 12.2 14.7 12.4   17
1981 16.3 16.6 16.1 14.2 11.1 10.3  9.1  8.5 10.0 11.6 13.2 16.0 12.8   13
1982 16.1 16.8 15.2 12.4 11.5  9.0  8.2  8.7 10.0 10.5 13.4 13.9 12.1   12
1983 15.3 14.6 14.6 12.8 10.6  9.3  8.5  9.4 10.1 11.7 13.2 14.3 12.0   12
1984 14.8 16.2 15.9 13.0 10.4  9.9  9.2  9.5 10.2 11.2 13.6 15.9 12.5   12
1985 17.2 16.6 13.9 13.3 11.1 10.0  9.5  8.6  9.9 10.6 12.8 14.5 12.3   12
1986 16.7 17.1 15.3 13.8 11.4  9.5  7.7  8.0  9.1 11.4 12.5 13.5 12.2   11
1987 17.1 15.9 14.5 13.1 11.4  9.4  8.7  9.8 10.0 11.8 13.6 15.1 12.5   12
1988 15.9 16.8 14.8 12.5 10.7  9.7  9.5  9.4 11.1 12.4 13.8 15.8 12.7   12
1989 17.0 16.3 15.4 13.2 11.3  9.5  8.4  9.7 11.1 11.8 13.0 13.7 12.5   12
1990 15.1 16.1 14.8 12.2 10.5  8.3  7.9  8.6  8.9 11.1 12.8 15.7 11.8    9
1991 16.5 16.6 15.5 12.9 10.8  8.2  7.9 10.5 10.8 11.7 11.4 13.6 12.2   10
1992 16.0 15.6 13.4 10.9  8.2  7.5  8.3  7.9  8.5 10.8 13.3 13.7 11.2   11
1993 14.9 15.2 13.9 11.7 10.4  9.1  8.4  7.9  8.6 11.5 12.0 13.5 11.4   11
1994 16.1 16.0 13.8 12.0 10.4  7.0  7.6  8.2  8.2 10.3  6.6 14.6 10.9   10
1995 14.2 15.6 13.9 13.3 10.4  7.3  2.8  7.7  9.2 10.2 11.5 14.7 10.9    8
1996 15.7 15.5 14.1 13.3 10.1  7.6  7.4  7.2 10.5 11.2 11.7 14.1 11.5   10
1997 14.6 15.7 14.0 11.8 10.7  8.9  8.1  8.7  9.4 11.2 13.2 14.3 11.7   10
1998 16.2 18.4 15.7 13.4 11.3  8.6  9.6  8.8 10.6 12.2 13.1 15.1 12.8   10
1999 17.0 16.8 16.1 13.2 12.0  9.9  9.3  9.2 11.0 12.8 14.1 14.6 13.0   10
2000 16.2 16.5 15.3 13.8 12.1 10.2 10.0  8.5 10.9 12.3 12.5 16.2 12.9    9
2001 14.8 16.2 15.3 13.6 12.0  9.6  8.2  9.9 11.9 13.1 14.9 17.5 13.1    9
2002 17.8 16.9 16.9 14.3 12.3 11.2  9.6  9.5 11.1 11.0 12.8 15.2 13.2    9
2003 16.9 17.2 17.2 14.2 12.6 11.3  8.6  9.8 11.6 12.3 13.5 16.4 13.5    8
2004 18.2 17.2 15.4 12.6 12.5 10.8  8.9  8.8 10.6 12.4 14.5 14.0 13.0    8
2005 17.5 18.9 16.6 13.3 12.9  9.1  9.8 10.2 11.6 12.7 14.1 17.7 13.7    8
2006 17.9 17.8 15.1 15.4 12.2  8.5  9.4  9.5 11.8 13.1 14.2 14.4 13.3    8
2007 17.2 17.4 17.0 12.2 13.4  9.3  8.9  9.8 11.0 11.7 12.6 15.8 13.0    9
2008 15.9  9.6 12.8 12.8  9.7  9.2  9.2  9.2 11.8 12.5 14.4 16.7 12.0    9
2009 18.2 17.9 15.1 14.4 10.8  9.0  8.8 11.1 11.4 12.2 14.2-99.0 13.0    8
AA   16.0 16.2 15.2 13.2 11.0  9.1  8.4  9.0 10.2 11.6 13.0 14.8 12.3
Ad   16.0 16.1 15.1 13.1 10.8  8.9  8.2  8.8 10.2 11.7 13.0 14.9 12.2

For Country Code 507

From input file /gnuit/GIStemp/STEP0/to_next_step/v2.mean_comb
```
4. E.M.Smith says:

@Sandy McClintock:

That’s one of the more subtle, and bothersome, bits of GHCN. Each national Met Office delivers data after it has done [ whatever ] to it. The stuff done is often ill defined (unless you go to each of a hundred met offices and conduct an investigation). THEN NCDC does what IT wants to do to it. Does NCDC make sure it’s not “double dipping” on each “adjustment”? Do these folks coordinate? I don’t know, and I’m not sure anyone else really does either…

So while it’s sort of supposed to be “raw”, everybody has their own idea about how much adjustment, “QA”, and such can be done and still be “raw”…

The GIStemp “raw” was the NCDC strongly QA adjusted (with ‘outlier’ stations replaced with an average of nearby ASOS stations at airports…)

That kind of stuff was one of the early things that got me doubting the temperature data…

5. E.M.Smith says:

Hmmm…

Samoa is interesting in a null case kind of way…

509 541 541 WESTERN SAMOA / SAMOA

So it was 509 in v1 and is now 541. Turns out they have all of ONE thermometer for most of their record, jumping up to 2 in the recent years of v1. V2 has only one thermometer the whole time. Then the record suddenly ends in 1994.

Wonder if it’s still reading the (almost unchanged) value it had been for the last few dozen years of the record? Not a lot of “splice artifacts” with a single thermometer.

You need to scroll the image to the right to pick up the thermometer count. There are 12 months data then the average for the year. Things jump up from about 25 1/2 to about 26 1/2 in the mid ’20s then just kind of sits there. Gets an added 1/10 or 2/10 as the jet age and more tarmac comes to the islands (tourist traffic anyone?) but not much, really.

The v2 data is about the same, but from 1991 -94 pops up a couple of more tenths, then gets cut off. Might be nice to get some current data and see if that was a ‘cherry picked’ uptick at the end to make splice artifacts show an artificial rise… Oddly, it looks like 1984 – 1987 get cooled in the newer set (as a thermometer was dropped). So again some cooling in the middle years. I suspect this lets some OTHER thermometer fill in the recent data with higher than ‘real’ temperatures in the “grid box” creation phase, and lets the ‘middle years’ be cooler in the v2 record. Creating the ‘stick and blade’.

The v1 data:

```Thermometer Records, Average of Monthly Data and Yearly Average
by Year Across Month, with a count of thermometer records in that year
--------------------------------------------------------------------------
YEAR  JAN  FEB  MAR  APR  MAY  JUN JULY  AUG SEPT  OCT  NOV  DEC  YR COUNT
--------------------------------------------------------------------------
1890 25.4 25.6 25.7 25.2 25.2 25.0 23.9 24.7 25.9 25.7 25.6 26.0 25.3    1
1891 26.1 25.6 25.8 25.5 25.1 24.9 23.9 24.7 24.9 25.8 25.6 25.7 25.3    1
1892 25.3 25.8 26.1 25.7 24.8 25.1 24.4 25.1 24.7 25.4 24.9 25.3 25.2    1
1893 24.9 24.9 25.5 24.4 24.1 25.3 24.5 24.7 24.7 24.8 25.1 25.5 24.9    1
1894 25.4 25.2 25.4 25.9 25.0 25.1 24.2 25.3 25.5 26.0 25.4 25.7 25.3    1
1895 25.4 24.6 25.5 25.7 26.0 25.1 24.8 24.9 24.6 25.2 25.1 26.2 25.3    1
1896 25.5 25.7 25.6 25.4 25.7 24.5 23.2 24.7 25.4 26.0 25.2 26.4 25.3    1
1897 26.2 25.9 26.6 26.3 25.5 25.9 25.2 25.8 25.2 25.8 25.6 26.6 25.9    1
1898 25.6 25.5 25.4 25.9 25.5 25.4 26.1 25.6 25.9 25.8 25.5 26.3 25.7    1
1899 25.5 25.8 25.9 26.2 25.6 24.9 25.4 25.3 26.1 26.0 26.3 26.3 25.8    1
1900 26.8 26.7 26.4 26.3 25.3 24.9 24.9 25.7 26.1 26.5 26.2 26.4 26.0    1
1901 26.8 26.3 26.4 26.9 26.5 25.5 25.7 25.3 25.8 25.7 26.3 26.8 26.2    1
1902 26.4 26.7 26.6 26.3 26.4 25.4 25.6 25.2 25.5 26.1 26.8 27.0 26.2    1
1903 25.6 26.3 26.8 26.2 26.1 26.1 25.3 25.8 25.3 25.9 25.7 25.9 25.9    1
1904 25.2 25.6 25.6 25.6 25.7 25.5 24.8 25.0 25.4 26.2 26.5 26.8 25.7    1
1905 26.4 26.8 26.5 26.1 25.5 25.0 24.9 24.8 25.1 25.9 25.9 26.0 25.7    1
1906 27.3 26.9 26.9 26.8 26.1 25.6 25.2 25.6 25.9 26.0 25.8 26.3 26.2    1
1907 26.0 26.2 25.8 25.8 25.4 24.3 25.3 24.6 25.4 26.2 25.8 26.2 25.6    1
1908 26.0 25.9 25.9 26.0 25.9 24.1 24.5 25.9 25.0 25.8 25.7 26.3 25.6    1
1909 25.3 25.7 25.9 25.2 25.3 25.4 24.7 24.2 25.6 25.9 25.7 25.7 25.4    1
1910 25.8 25.8 25.6 25.7 25.6 24.9 25.4 25.8 25.7 25.4 25.8 26.0 25.6    1
1911 26.0 26.8 26.2 26.3 25.8 25.7 25.2 26.1 25.8 26.4 26.4 27.7 26.2    1
1912 27.9 27.1 27.3 26.7 26.6 26.0 25.6 25.9 26.1 26.3 26.6 26.9 26.6    1
1913 26.6 26.2 26.9 26.7 26.2 26.4 26.0 26.2 26.6 26.1 26.5 26.5 26.4    1
1914 26.9 27.5 27.2 27.1 27.4 26.6 25.5 26.1 26.1 26.4 26.3 26.8 26.7    1
1915 26.8 26.6 27.1 26.6 26.1 25.7 24.5 25.3 26.0 26.3 25.8 26.0 26.1    1
1916 26.1 26.1 26.0 25.7 25.5 25.4 25.6 26.1 25.7 25.8 25.6 26.0 25.8    1
1917 25.5 25.5 25.1 25.0 25.2 25.3 25.4 25.0 25.4 24.9 25.5 25.2 25.2    1
1918 25.6 25.5 25.8 25.5 26.0 26.1 25.1 25.4 25.7 26.4 26.7 26.6 25.9    1
1919 26.3 26.9 27.0 26.9 26.3 25.9 25.8 25.7 26.9 27.1 27.3 27.5 26.6    1
1920 27.5 26.9 26.8 26.9 26.9 25.9 26.4 25.8 26.9 26.1 26.4 26.5 26.6    1
1921 26.6 26.9 26.8 26.3 25.5 25.5 25.7 26.3 26.1 26.6 26.6 26.3 26.3    1
1922 26.8 26.4 26.9 27.2 26.5 26.6 25.4 26.4 26.3 26.0 26.1 26.3 26.4    1
1923 27.2 26.8 26.5 26.4 26.3 25.5 25.7 25.6 25.6 25.7 25.6 26.1 26.1    1
1924 26.4 26.4 27.0 26.3 26.9 26.5 26.0 26.2 26.0 26.9 26.2 26.1 26.4    1
1925 26.4 26.6 26.2 26.7 25.6 25.8 25.4 26.3 26.4 26.5 26.5 26.4 26.2    1
1926 27.1 27.3 26.9 26.5 26.8 26.5 26.0 26.4 26.6 26.3 26.5 26.6 26.6    1
1927 26.5 26.2 26.6 26.7 26.8 26.7 26.4 26.8 26.6 26.7 26.9 26.9 26.6    1
1928 26.9 27.2 27.3 27.0 26.4 25.7 25.3 26.1 26.3 26.4 26.4 27.1 26.5    1
1929 26.7 26.4 26.4 27.1 26.5 26.4 25.8 25.9 25.9 26.6 26.9 27.0 26.5    1
1930 27.6 26.7 27.0 26.6 26.9 25.9 25.7 25.8 25.9 26.6 27.0 26.7 26.5    1
1931 26.8 26.8 26.9 26.5 26.3 25.6 25.8 26.0 26.1 25.9 26.1 25.9 26.2    1
1932 26.6 26.5 26.5 26.2 27.0 25.7 26.3 26.0 25.9 26.5 26.5 26.8 26.4    1
1933 26.4 26.5 26.0 26.2 26.5 26.1 25.2 25.5 25.5 25.8 26.0 25.5 25.9    1
1934 26.3 26.3 25.9 25.9 26.1 26.0 25.8 25.6 25.9 26.0 26.3 26.3 26.0    1
1935 26.0 26.7 26.6 26.4 26.1 26.0 26.2 25.7 26.4 27.1 26.5 26.2 26.3    1
1936 26.7 26.8 26.5 26.9 26.6 25.8 25.8 25.1 25.7 26.2 26.0 26.4 26.2    1
1937 26.8 26.8 26.3 26.7 26.1 26.0 26.1 26.0 25.8 26.3 26.5 26.5 26.3    1
1938 26.8 26.3 26.2 26.1 25.9 26.1 26.5 26.0 26.1 26.1 25.5 26.4 26.2    1
1939 25.7 26.3 25.9 26.1 26.1 25.5 25.6 26.1 25.6 26.3 26.7 26.3 26.0    1
1940 27.1 27.2 27.1 27.0 26.9 26.4 25.1 25.8 26.2 26.3 26.5 26.7 26.5    1
1941 27.1 27.3 27.0 27.7 27.2 26.9 25.8 26.2 26.1 26.2 26.9 27.1 26.8    1
1942 27.4 27.3 26.9 26.4 26.7 26.7 25.6 26.2 26.0 26.1 26.2 26.3 26.5    1
1943 26.8 26.5 26.6 26.7 26.5 25.8 25.6 26.0 26.1 26.4 26.8 26.4 26.4    1
1944 26.7 26.3 26.9 26.7 26.6 26.3 25.7 26.1 26.4 26.0 26.1 26.6 26.4    1
1945 26.7 26.7 26.9 26.7 25.9 26.0 26.1 25.9 26.0 26.4 26.2 27.0 26.4    1
1946 26.4 26.4 26.8 27.0 26.5 26.5 25.4 26.3 26.2 26.7 26.9 26.8 26.5    1
1947 27.2 27.3 27.0 27.2 26.8 26.5 26.8 26.2 26.7 26.4 26.4 26.5 26.8    1
1948 27.0 26.5 27.1 26.8 26.6 26.7 25.8 25.9 26.1 26.4 26.6 26.3 26.5    1
1949 26.9 26.7 26.6 27.6 26.7 26.4 25.8 26.4 26.8 26.2 26.7 26.1 26.6    1
1950 26.4 26.3 25.9 26.7 26.1 26.1 25.9 26.1 25.9 26.5 26.7 26.1 26.2    1
1951 26.5 27.0 27.1 27.4 26.8 26.6 25.4 25.6 26.1 26.1 26.7 27.2 26.5    1
1952 27.4 27.3 27.3 26.7 27.1 27.1 26.5 26.2 26.3 26.0 26.8 27.2 26.8    1
1953 27.4 27.2 27.7 27.8 26.7 26.7 26.2 25.4 25.6 26.8 26.7 27.1 26.8    1
1954 27.1 27.1 26.5 26.9 26.9 26.3 26.1 26.2 26.7 26.3 26.0 26.7 26.6    1
1955 26.7 26.7 26.0 26.6 26.6 26.1 26.2 26.1 25.9 26.3 26.1 26.1 26.3    1
1956 26.1 25.8 26.7 26.7 26.4 25.9 25.5 26.1 25.9 26.3 26.4 26.4 26.2    1
1957 26.6 26.7 26.6 26.9 26.8 26.7 25.6 25.8 26.4 26.4 27.1 26.8 26.5    1
1958 27.3 27.2 27.4 27.8 26.9 26.1 25.7 26.1 26.1 26.7 26.8 26.7 26.7    1
1959 27.1 27.4 27.4 27.7 27.5 26.8 26.7 26.3 26.2 26.8 26.8 26.7 26.9    1
1960 26.9 26.6 26.8 27.5 27.0 26.5 25.8 26.0 26.2 26.3 27.2 27.2 26.7    2
1961 27.5 27.1 26.2 27.3 26.9 26.2 26.0 26.1 26.5 25.8 26.5 26.9 26.6    2
1962 26.7 26.9 27.0 26.9 26.5 26.1 26.2 25.7 26.5 26.4 26.6 26.6 26.5    2
1963 27.0 27.2 26.9 27.2 26.9 26.4 26.6 26.4 26.1 26.7 27.0 27.2 26.8    2
1964 27.4 27.6 27.6 27.5 26.4 26.3 25.7 26.1 25.9 26.5 26.6 26.2 26.7    2
1965 26.5 26.2 26.6 26.5 26.4 25.7 25.7 25.7 26.1 26.2 26.7 26.9 26.3    2
1966 27.3 27.3 27.5 27.3 26.8 26.4 26.1 25.8 26.1 26.5 27.0 26.7 26.7    2
1967 26.8 26.5 27.2 26.6 26.3 25.8 25.4 25.3 26.4 26.0 26.0 26.4 26.2    2
1968 27.0 26.6 26.4 25.9 26.2 26.4 25.8 25.2 26.1 26.4 26.8 27.4 26.3    2
1969 27.5 27.3 27.4 27.1 26.5 26.7 25.8 25.7 25.8 26.9 27.0 27.0 26.7    2
1970 27.2 27.5 26.8 27.1 27.3 26.8 26.3 25.8 25.8 26.5 26.4 25.9 26.6    2
1971 26.4 26.2 26.3 26.2 26.1 25.7 25.4 25.7 25.6 26.2 26.5 26.6 26.1    2
1972 26.1 26.3 26.7 27.1 26.2 26.5 25.6 26.2 26.2 26.7 26.7 27.6 26.5    2
1973 27.2 27.8 27.9 27.5 26.9 26.4 26.2 25.9 26.6 25.8 26.1 26.4 26.7    2
1974 26.6 26.1 26.3 26.2 25.7 25.9 26.0 25.5 26.4 26.6 26.4 26.5 26.2    2
1975 26.7 26.5 26.9 26.4 26.4 25.9 26.0 26.0 26.3 26.4 26.4 26.3 26.3    2
1976 26.1 26.2 26.7 26.6 26.0 25.9 25.6 25.7 25.8 26.9 27.0 26.6 26.3    2
1977 27.3 27.6 27.0 26.9 26.1 26.4 26.0 25.8 25.8 26.6 26.8 27.5 26.6    2
1978 26.9 27.4 26.6 26.6 26.7 26.2 25.8 26.2 26.2 26.4 26.0 27.0 26.5    2
1979 27.0 27.2 26.9 26.5 27.0 27.0 25.7 25.8 26.6 26.7 26.7 26.7 26.7    2
1980 27.0 27.2 27.6 27.4 26.2 26.6 25.9 26.2 26.4 26.2 27.2 27.2 26.8    2
1981 27.2 26.8 26.7 26.8 27.0 26.2 26.1 26.1 26.4 26.4 26.7 26.8 26.6    2
1982 27.1 26.5 27.6 27.4 26.8 26.6 26.0 26.0 26.1 26.8 26.6 27.3 26.7    2
1983 27.4 28.2 27.5 26.8 27.2 26.6 26.3 25.4 26.1 26.4 26.8 27.1 26.8    2
1984 26.8 27.3 27.1 27.1 27.1 26.8 25.9 26.3 26.4 26.2 27.1 26.7 26.7    2
1985 26.6 27.0 27.4 27.2 26.5 26.2 25.9 26.7 26.6 26.9 26.5 27.2 26.7    2
1986 26.9 27.1 27.4 27.3 26.4 26.8 26.1 25.7 26.5 26.7 27.2 26.9 26.8    2
1987 27.4 27.6 27.4 27.6 26.7 25.8 25.5 25.4 25.9 26.7 27.2 27.7 26.7    2
1988 27.8 27.9 27.9 27.5 27.2 26.9 26.3 26.4 26.4 26.5 26.1 26.4 26.9    2
1989 26.4 26.6 26.8 27.1 27.0 26.7 25.6 26.6 26.9 27.0 26.8 26.8 26.7    2
1990 27.2 27.3 27.4 27.0 27.6 26.9 26.6 26.4 26.9 27.4-99.0-99.0 27.1    2
AA   26.7 26.7 26.7 26.6 26.3 26.1 25.7 25.8 26.0 26.3 26.4 26.6 26.3
Ad   26.6 26.6 26.7 26.6 26.3 26.0 25.6 25.8 26.0 26.3 26.4 26.6 26.3

For Country Code 509

From input file ./data/v1.mean
```

the v2 data:

```Thermometer Records, Average of Monthly Data and Yearly Average
by Year Across Month, with a count of thermometer records in that year
--------------------------------------------------------------------------
YEAR  JAN  FEB  MAR  APR  MAY  JUN JULY  AUG SEPT  OCT  NOV  DEC  YR COUNT
--------------------------------------------------------------------------
1890 25.4 25.6 25.7 25.2 25.2 25.0 23.9 24.7 25.9 25.7 25.6 26.0 25.3    1
1891 26.1 25.6 25.8 25.5 25.1 24.9-99.0 24.7-99.0 25.8 25.6 25.7 25.5    1
1892 25.3 25.8 26.1 25.7-99.0 25.1 24.4 25.1-99.0 25.4-99.0 25.3 25.4    1
1893-99.0-99.0 25.5-99.0 24.1 25.3 24.5 24.7-99.0-99.0-99.0 25.5 24.9    1
1894 25.4 25.2 25.4 25.9 25.0 25.1-99.0 25.3 25.5 26.0 25.4 25.7 25.4    1
1895 25.4-99.0 25.5 25.7 26.0 25.1 24.8 24.9-99.0-99.0-99.0 26.2 25.4    1
1896 25.5 25.7 25.6 25.4 25.7 24.5-99.0 24.7 25.4 26.0 25.2 26.4 25.5    1
1897 26.2 25.9 26.6 26.3 25.5 25.9 25.2 25.8 25.2 25.8 25.6 26.6 25.9    1
1898 25.6 25.5 25.4 25.9 25.5 25.4 26.1 25.6 25.9 25.8 25.5 26.3 25.7    1
1899 25.5 25.8 25.9 26.2 25.6 24.9 25.4 25.3 26.1 26.0 26.3 26.3 25.8    1
1900 26.8 26.7 26.4 26.3 25.3 24.9 24.9 25.7 26.1 26.5 26.2 26.4 26.0    1
1901 26.8 26.3 26.4 26.9 26.5 25.5 25.7 25.3 25.8 25.7 26.3 26.8 26.2    1
1902 26.4 26.7 26.6 26.3 26.4 25.4 25.6 25.2 25.5 26.1 26.8 27.0 26.2    1
1903 25.6 26.3 26.8 26.2 26.1 26.1 25.3 25.8 25.3 25.9 25.7 25.9 25.9    1
1904 25.2 25.6 25.6 25.6 25.7 25.5 24.8 25.0 25.4 26.2 26.5 26.8 25.7    1
1905 26.4 26.8 26.5 26.1 25.5 25.0 24.9 24.8 25.1 25.9 25.9 26.0 25.7    1
1906 27.3 26.9 26.9 26.8 26.1 25.6 25.2 25.6 25.9 26.0 25.8 26.3 26.2    1
1907 26.0 26.2 25.8 25.8 25.4-99.0 25.3-99.0 25.4 26.2 25.8 26.2 25.8    1
1908 26.0 25.9 25.9 26.0 25.9-99.0 24.5 25.9 25.0 25.8 25.7 26.3 25.7    1
1909 25.3 25.7 25.9 25.2 25.3 25.4 24.7-99.0 25.6 25.9 25.7 25.7 25.5    1
1910 25.8 25.8 25.6 25.7 25.6 24.9 25.4 25.8 25.7 25.4 25.8 26.0 25.6    1
1911 26.0 26.8 26.2 26.3 25.8 25.7 25.2 26.1 25.8 26.4 26.4 27.7 26.2    1
1912 27.9 27.1 27.3 26.7 26.6 26.0 25.6 25.9 26.1 26.3 26.6 26.9 26.6    1
1913 26.6 26.2 26.9 26.7 26.2 26.4 26.0 26.2 26.6 26.1 26.5 26.5 26.4    1
1914 26.9 27.5 27.2 27.1 27.4 26.6 25.5 26.1 26.1 26.4 26.3 26.8 26.7    1
1915 26.8 26.6 27.1 26.6 26.1 25.7 24.5 25.3 26.0 26.3 25.8 26.0 26.1    1
1916 26.1 26.1 26.0 25.7 25.5 25.4 25.6 26.1 25.7 25.8 25.6 26.0 25.8    1
1917 25.5 25.5 25.1 25.0 25.2 25.3 25.4 25.0 25.4-99.0 25.5 25.2 25.3    1
1918 25.6 25.5 25.8 25.5 26.0 26.1 25.1 25.4 25.7 26.4 26.7 26.6 25.9    1
1919 26.3 26.9 27.0 26.9 26.3 25.9 25.8 25.7 26.9 27.1 27.3 27.5 26.6    1
1920 27.5 26.9 26.8 26.9 26.9 25.9 26.4 25.8 26.9 26.1 26.4 26.5 26.6    1
1921 26.6 26.9 26.8 26.3 25.5 25.5 25.7 26.3 26.1 26.6 26.6 26.3 26.3    1
1922 26.8 26.4 26.9 27.2 26.5 26.6 25.4 26.4 26.3 26.0 26.1 26.3 26.4    1
1923 27.2 26.8 26.5 26.4 26.3 25.5 25.7 25.6 25.6 25.7 25.6 26.1 26.1    1
1924 26.4 26.4 27.0 26.3 26.9 26.5 26.0 26.2 26.0 26.9 26.2 26.1 26.4    1
1925 26.4 26.6 26.2 26.7 25.6 25.8 25.4 26.3 26.4 26.5 26.5 26.4 26.2    1
1926 27.1 27.3 26.9 26.5 26.8 26.5 26.0 26.4 26.6 26.3 26.5 26.6 26.6    1
1927 26.5 26.2 26.6 26.7 26.8 26.7 26.4 26.8 26.6 26.7 26.9 26.9 26.6    1
1928 26.9 27.2 27.3 27.0 26.4 25.7 25.3 26.1 26.3 26.4 26.4 27.1 26.5    1
1929 26.7 26.4 26.4 27.1 26.5 26.4 25.8 25.9 25.9 26.6 26.9 27.0 26.5    1
1930 27.6 26.7 27.0 26.6 26.9 25.9 25.7 25.8 25.9 26.6 27.0 26.7 26.5    1
1931 26.8 26.8 26.9 26.5 26.3 25.6 25.8 26.0 26.1 25.9 26.1 25.9 26.2    1
1932 26.6 26.5 26.5 26.2 27.0 25.7 26.3 26.0 25.9 26.5 26.5 26.8 26.4    1
1933 26.4 26.5 26.0 26.2 26.5 26.1 25.2 25.5 25.5 25.8 26.0 25.5 25.9    1
1934 26.3 26.3 25.9 25.9 26.1 26.0 25.8 25.6 25.9 26.0 26.3 26.3 26.0    1
1935 26.0 26.7 26.6 26.4 26.1 26.0 26.2 25.7 26.4 27.1 26.5 26.2 26.3    1
1936 26.7 26.8 26.5 26.9 26.6 25.8 25.8 25.1 25.7 26.2 26.0 26.4 26.2    1
1937 26.8 26.8 26.3 26.7 26.1 26.0 26.1 26.0 25.8 26.3 26.5 26.5 26.3    1
1938 26.8 26.3 26.2 26.1 25.9 26.1 26.5 26.0 26.1 26.1 25.5 26.4 26.2    1
1939 25.7 26.3 25.9 26.1 26.1 25.5 25.6 26.1 25.6 26.3 26.7 26.3 26.0    1
1940 27.1 27.2 27.1 27.0 26.9 26.4 25.1 25.8 26.2 26.3 26.5 26.7 26.5    1
1941 27.1 27.3 27.0 27.7 27.2 26.9 25.8 26.2 26.1 26.2 26.9 27.1 26.8    1
1942 27.4 27.3 26.9 26.4 26.7 26.7 25.6 26.2 26.0 26.1 26.2 26.3 26.5    1
1943 26.8 26.5 26.6 26.7 26.5 25.8 25.6 26.0 26.1 26.4 26.8 26.4 26.4    1
1944 26.7 26.3 26.9 26.7 26.6 26.3 25.7 26.1 26.4 26.0 26.1 26.6 26.4    1
1945 26.7 26.7 26.9 26.7 25.9 26.0 26.1 25.9 26.0 26.4 26.2 27.0 26.4    1
1946 26.4 26.4 26.8 27.0 26.5 26.5 25.4 26.3 26.2 26.7 26.9 26.8 26.5    1
1947 27.2 27.3 27.0 27.2 26.8 26.5 26.8 26.2 26.7 26.4 26.4 26.5 26.8    1
1948 27.0 26.5 27.1 26.8 26.6 26.7 25.8 25.9 26.1 26.4 26.6 26.3 26.5    1
1949 26.9 26.7 26.6 27.6 26.7 26.4 25.8 26.4 26.8 26.2 26.7 26.1 26.6    1
1950 26.4 26.3 25.9 26.7 26.1 26.1 25.9 26.1 25.9 26.5 26.7 26.1 26.2    1
1951 26.5 27.0 27.0 27.3 26.7 26.5 25.3 25.6 26.1 26.1 26.7 27.1 26.5    1
1952 27.4 27.3 27.2 26.6 27.0 27.1 26.5 26.2 26.4 26.0 27.0 27.2 26.8    1
1953 27.4 27.2 27.7 27.7 26.6 26.7 26.3 25.4 25.5 26.8 26.7 27.1 26.8    1
1954 27.1 27.0 26.5 26.9 26.9 26.2 26.1 26.2 26.7 26.2 25.9 26.4 26.5    1
1955 26.6 26.7 25.9 26.4 26.4 26.3 26.1 26.0 26.1 26.3 26.1 26.0 26.2    1
1956 26.1 25.9 26.5 26.7 26.4 25.8 25.5 26.1 26.0 26.5 26.5 26.3 26.2    1
1957 26.6 26.9 26.6 26.8 26.8 26.7 25.7 26.0 26.3 26.4 27.0 26.9 26.6    1
1958 27.3 27.1 27.3 27.7 26.9 26.1 25.7 26.1 26.1 26.7 26.8 26.4 26.7    1
1959 27.1 27.4 27.3 27.5 27.5 26.8 26.4 26.3 26.2 26.7 26.7 26.6 26.9    1
1960 27.3 26.6 26.8 27.3 27.1 26.4 26.3 26.7 26.3 26.3 27.1 27.1 26.8    1
1961 27.2 26.9 26.1 27.0 26.9 26.2 26.1 26.1 26.4 25.8 26.4 26.8 26.5    1
1962 26.7 26.8 27.0 27.1 26.6 26.2 25.9 25.7 26.2 25.9 26.3 26.4 26.4    1
1963 26.7 27.6 26.6 26.7 26.7 25.8 26.3 26.2 25.9 26.6 26.8 26.8 26.6    1
1964 27.1 27.3 27.2 26.9 26.2 26.3 25.8 26.1 25.7 26.4 26.2 26.2 26.5    1
1965 26.5 26.1 26.7 26.5 26.5 25.9 25.4 25.6 26.1 26.1 26.4 26.8 26.2    1
1966 27.2 26.8 27.1 27.0 26.9 26.4 26.0 25.8 26.0 26.5 26.7 26.6 26.6    1
1967 26.6 26.2 27.3 26.5 26.3 26.0 25.6 25.4 26.4 26.0 26.0 26.2 26.2    1
1968 27.0 26.4 26.4 25.8 26.2 26.2 25.8 25.3 26.0 26.4 26.4 27.2 26.3    1
1969 27.4 27.2 27.5 26.3 26.3 26.4 25.6 25.6 25.5 26.8 27.0 26.9 26.5    1
1970 27.1 27.4 27.3 27.1 27.3 27.0 26.1 25.8 25.8 26.5 26.4 25.9 26.6    1
1971 26.3 26.3 26.3 26.3 26.2 25.8 25.4 25.5 25.4 26.2 26.3 26.6 26.0    1
1972 26.1 26.4 26.4 27.0 26.1 26.5 25.6 26.0 26.2 26.6 26.4 27.1 26.4    1
1973 26.9 27.5 27.7 27.2 26.7 26.0 26.0 25.6 26.3 25.6 25.8 26.1 26.4    1
1974 26.2 26.2 26.0 26.1 25.7 25.6 25.8 25.3 25.8 26.0 25.9 26.2 25.9    1
1975 26.4 26.2 26.6 26.3 26.2 25.7 25.7 25.7 26.2 25.8 26.0 26.2 26.1    1
1976 25.8 26.0 26.5 26.4 26.1 25.9 25.6 25.6 25.6 26.8 26.8 26.5 26.1    1
1977 26.9 27.3 26.7 26.8 26.1 26.1 25.8 25.5 25.9 26.6 26.7 27.2 26.5    1
1978 26.7 27.2 26.5 26.5 26.7 26.2 25.7 26.1 26.1 26.3 26.1 27.0 26.4    1
1979 27.1 27.1 26.7 26.7 26.8 27.0 25.9 25.9 26.6 26.6 26.7 26.6 26.6    1
1980 27.0 27.1 27.4 27.1 26.4 26.5 26.0 26.3 26.3 26.3 26.9 27.0 26.7    1
1981 26.8 26.6 26.4-99.0-99.0-99.0-99.0 26.0 25.5 26.2 26.3 26.5 26.3    1
1982 26.5 26.2 27.3 27.1 26.6 26.4 26.1 25.9 26.1 26.6 26.4 27.3 26.5    1
1983 27.1 27.9 27.6 26.4 27.1 26.7 26.2 25.1 25.4 26.5 26.8 26.8 26.6    1
1984 26.5 26.8 26.7 26.8 26.7 26.3 25.6 25.5 26.0 26.1 26.6 26.4 26.3    1
1985 26.4 26.5 27.2 26.4 26.3 25.8 25.7-99.0 25.6 26.3 26.4 26.8 26.3    1
1986 26.6 26.7 27.1 27.1 26.2-99.0 25.5 25.8 26.1 26.1 26.8 26.3 26.4    1
1987-99.0 27.2 27.1 27.0 25.9-99.0 25.4 25.4 25.6 26.7 27.3-99.0 26.4    1
1988 27.3 27.5 27.5 26.6 26.9 26.2 25.8 26.0 26.3 26.4 25.8 26.3 26.5    1
1989 26.1 26.5 25.9-99.0 26.0-99.0 25.2-99.0-99.0 26.8 26.5 26.7 26.2    1
1990-99.0 27.2 27.4 26.3-99.0 26.7 26.2 25.9-99.0 27.2 27.2-99.0 26.8    1
1991 27.3 27.1 27.4 27.4 25.8 26.8 26.4 26.3 26.2-99.0 27.1-99.0 26.8    1
1992-99.0 27.1 27.0 27.2 27.0 26.5 26.5 26.5 26.7 27.1 26.6 27.1 26.8    1
1993 27.2 26.9 26.8 27.2 27.0-99.0-99.0 26.3 26.4-99.0-99.0-99.0 26.8    1
1994 27.6-99.0 27.5 27.1 26.8-99.0 25.2 25.4-99.0 26.5-99.0-99.0 26.6    1
AA   26.6 26.7 26.7 26.6 26.3 26.0 25.7 25.8 26.0 26.3 26.4 26.5 26.3
Ad   26.6 26.6 26.6 26.6 26.3 26.0 25.7 25.8 26.0 26.3 26.4 26.5 26.3

For Country Code 541

From input file /gnuit/GIStemp/STEP0/to_next_step/v2.mean_comb
```
6. E.M.Smith says:

Well, I think I’m rediscovering the same thing I found when I looked inside V2 / GIStemp the first time. It is all about creating a hidden ‘splice artifact’ between thermometers. At least up to v2. After that, it looks like there was a bit of “adjustment mania”, so we’ll need to look at v3 to see if the individual records change their data between v1, v2 and v3.

For the v1 vs v2 comparison, it still looks like ‘splice artifact creation’ via choosing when to have thermometers in, vs out, of the data set. That seems to show up rather well in a comparison of Ireland. I’ll need to look inside the individual year data records, and exactly what thermometers come and go when; but looking at the two reports below, the annual numbers don’t change a whole lot, until recent years when the number of thermometers shift a bunch again. Then we get a step function up that holds steady going forward.

Homogenize that in with other nearby areas, spread that ‘step function’ over space to places with discontinued thermometers and over time via averaging into other records, and you get a nice smooth rising trend. Now just need to prove the hypothesis ;-)

605 621 621 IRELAND

so Country Code 605 in v1, while it’s 621 in v2, v3.

v1 data for Ireland:

In particular I notice that 1945 is at 11.8 and gets cooled to 11.1 in the v2 data… Looks like they added a cooler thermometer somewhere…

```Thermometer Records, Average of Monthly Data and Yearly Average
by Year Across Month, with a count of thermometer records in that year
--------------------------------------------------------------------------
YEAR  JAN  FEB  MAR  APR  MAY  JUN JULY  AUG SEPT  OCT  NOV  DEC  YR COUNT
--------------------------------------------------------------------------
1869  8.7  9.3  7.0 11.1 10.8 13.8 16.3 15.5 14.0 12.3 10.1  6.6 11.3    1
1870  6.8  5.4  7.6  9.8 11.3 14.3 16.1 16.4 14.8 12.0  8.1  4.9 10.6    1
1871  6.2  8.8  8.7 10.4 12.8 14.2 14.7 15.8 13.2 11.9  8.2  7.3 11.0    1
1872  7.6  8.5  8.6  9.2 10.4 12.9 15.4 15.3 14.0  9.8  8.3  7.9 10.7    1
1873  7.5  5.5  6.9  9.7 11.5 13.9 14.7 14.8 12.8 10.3  8.4  9.4 10.5    1
1874  7.9  8.1  8.8  9.9 11.8 14.4 15.6 15.2 13.2 11.3  9.7  6.4 11.0    1
1875  9.6  6.3  7.6 10.2 11.9 13.1 14.5 16.0 15.3 11.2  8.2  7.1 10.9    1
1876  7.6  8.1  6.6  9.2 11.1 13.0 15.4 15.7 13.3 12.2  9.8  8.3 10.9    1
1877  8.1  8.6  7.4  9.2 10.6 14.1 14.2 14.7 12.8 12.1  9.2  8.4 10.8    1
1878  8.3  8.8  8.6 10.1 11.8 13.8 16.7 16.2 14.5 11.8  6.6  4.1 10.9    1
1879  5.3  6.4  7.4  8.1 10.0 12.7 13.1 13.9 12.5 10.6  8.1  6.9  9.6    1
1880  6.8  7.9  9.2  9.2 11.7 13.7 14.9 17.1 15.2  8.4  8.7  8.1 10.9    1
1881  3.7  6.6  7.8  9.1 12.3 12.9 14.4 13.9 13.2 11.1 11.2  7.3 10.3    1
1882  8.7  8.8  9.1  9.5 11.8 12.9 13.9 14.7 12.2 10.8  8.6  6.5 10.6    1
1883  7.9  7.4  5.7  8.7 10.4 13.4 13.5 14.6 13.4 11.2  9.2  7.9 10.3    1
1884  8.8  7.8  8.1  8.7 11.7 13.1 14.9 14.9 14.1 11.1  7.8  7.6 10.7    1
1885  6.9  7.4  6.8  8.3  9.5 12.9 15.2 15.2 13.1  9.4  9.3  7.1 10.1    1
1886  5.5  6.3  6.4  9.0 10.3 13.8 15.0 14.9 13.9 11.4  9.2  6.3 10.2    1
1887  7.5  7.4  6.4  7.7 11.1 16.3 16.4 15.6 13.0  9.7  7.2  6.2 10.4    1
1888  7.2  4.8  5.3  7.9 11.2 13.8 13.9 14.8 13.0 11.2  9.7  8.3 10.1    1
1889  7.5  6.9  7.3  8.1 11.1 13.8 14.6 14.2 14.2  9.8  9.6  8.4 10.5    1
1890  7.9  6.3  7.4  9.0 11.2 13.0 13.7 14.0 14.4 12.4  8.6  5.2 10.3    1
1891  5.9  8.3  6.1  8.6  9.7 14.4 14.3 13.9 13.6  9.9  7.5  8.3 10.0    1
1892  5.6  6.1  5.3  8.9 11.6 13.3 14.7 14.7 12.6  7.9  9.2  7.9  9.8    1
1893  6.5  6.7  9.3 11.5 13.7 15.8 15.8 16.7 13.4 10.7  7.5  7.4 11.2    1
1894  5.8  8.1  8.6  9.9 10.3 13.9 14.3 14.1 12.8 10.8  9.1  8.5 10.5    1
1895  4.2  2.7  7.3  9.3 11.7 14.6 14.3 14.7 14.6  9.3  8.4  7.7  9.9    1
1896  7.6  8.4  8.6 10.1 12.6 15.0 15.2 14.6 13.7  7.8  6.9  6.5 10.6    1
1897  4.7  8.6  7.4  8.4 10.9 13.9 16.0 15.0 12.5 12.2 10.0  8.2 10.6    1
1898  9.1  7.5  6.3  9.0 10.7 13.7 15.9 16.0 15.9 12.2  9.3  9.4 11.2    1
1899  6.7  7.7  7.7  9.0 11.4 15.2 15.8 17.9 14.1 11.3 10.6  7.5 11.2    1
1900  7.3  4.2  5.5  9.8 11.3 14.0 16.0 15.0 14.1 10.9  8.3  9.0 10.4    1
1901  7.0  4.6  6.1  8.4 12.3 13.4 15.6 15.0 13.9 10.6  7.7  6.5 10.1    1
1902  7.6  5.0  8.1  8.3 10.1 13.6 14.8 14.9 13.8 11.4  9.6  7.8 10.4    1
1903  6.9  8.6  7.6  8.2 11.0 13.8 15.0 13.9 13.4 10.6  8.7  6.3 10.3    1
1904  6.9  6.2  6.2  8.8 10.9 13.4 15.2 14.2 13.2 11.2  8.8  8.3 10.3    1
1905  8.1  7.2  7.3  9.0 11.4 14.6 15.9 14.1 12.4  9.3  6.8  8.8 10.4    1
1906  7.7  6.1  7.4  8.0 10.2 14.5 14.8 15.6 14.1 11.2  9.2  7.3 10.5    1
1907  6.8  6.1  8.7  8.2 10.7 12.2 14.9 14.6 14.7 10.2  8.3  7.4 10.2    1
1908  6.4  8.1  6.7  7.9 12.2 13.7 15.1 15.2 13.1 13.7 10.8  8.8 11.0    1
1909  7.7  6.8  6.0  9.4 11.5 12.5 14.3 15.4 13.3 11.2  6.8  6.6 10.1    1
1910  6.9  6.8  7.7  7.8 11.2 13.7 14.7 14.8 12.9 12.1  7.5  8.2 10.4    1
1911  7.1  7.3  7.1  8.4 12.1 14.1 16.5 16.4 13.7 11.5  7.8  7.9 10.8    1
1912  7.2  7.2  7.8  9.9 12.2 13.2 14.3 12.6 12.7 10.6  9.1  9.0 10.5    1
1913  6.8  6.9  7.2  8.3 10.5 12.8 14.8 15.5 14.3 11.5 10.0  7.5 10.5    1
1914  7.2  8.0  7.8 10.0 11.0 13.8 14.4 15.4 14.5 11.5  9.0  6.3 10.7    1
1915  6.7  5.6  6.6  9.5 12.3 14.5 14.5 15.1 14.8 11.7  6.6  7.4 10.4    1
1916  9.1  5.8  5.1  8.7 10.8 12.3 15.0 16.8 14.5 12.4  8.7  5.4 10.4    1
1917  4.7  4.7  6.4  7.0 12.2 13.4 15.7 14.9 13.7  9.5  7.2  6.2  9.6    1
1918  6.6  8.8  7.6  8.8 12.3 13.8 14.9 15.3 12.3 10.3  8.9  9.2 10.7    1
1919  6.3  6.5  5.6  8.5 12.5 13.3 14.1 15.7 13.3 10.8  5.2  8.4 10.0    1
1920  7.5  8.5  7.4  8.3 11.1 13.6 13.5 14.4 13.6 12.7 10.4  7.2 10.7    1
1921  9.2  7.5  8.2  9.4 10.8 14.5 17.6 14.4 14.1 13.8 10.4 10.0 11.7    1
1922  7.7  7.9  7.3  6.8 11.9 13.1 13.0 13.6 13.1 10.4  8.9  7.9 10.1    1
1923  8.3  8.0  8.1  8.1  9.9 12.7 15.7 14.7 12.7 10.6  6.1  8.2 10.3    1
1924  7.9  6.4  7.3  8.2 11.2 13.2 14.1 14.1 13.0 11.7  9.3  9.0 10.4    1
1925  8.4  6.8  7.0  8.2 10.4 14.1 14.3 14.9 12.6 12.0  6.8  6.6 10.2    1
1926  7.9  9.1  8.3 10.1 10.8 13.1 16.9 15.9 14.6 10.2  7.9  6.8 11.0    1
1927  7.3  8.0  8.5  8.8 12.1 12.6 14.9 14.9 12.7 12.3  8.4  6.6 10.6    1
1928  8.3  8.7  7.3  8.4 11.8 13.5 14.8 14.7 13.3 11.8  9.5  7.5 10.8    1
1929  5.8  7.5  9.0  9.0 11.3 13.3 14.8 14.8 15.0 11.0  9.0  7.6 10.7    1
1930  6.6  4.4  7.2  8.5 11.3 13.9 14.2 14.0 13.8 11.8  8.7  7.8 10.2    1
1931  7.2  7.3  8.2  9.3 11.3 14.0 14.7 15.0 13.2 11.4  9.7  9.3 10.9    1
1932  9.3  5.9  7.5  8.3 11.0 14.7 15.1 16.6 13.7 10.8  9.9  8.4 10.9    1
1933  6.2  6.7  8.9 10.2 12.3 13.7 16.6 16.4 15.1 11.9  8.7  6.2 11.1    1
1934  8.2  6.5  7.6  8.1 11.1 15.3 17.0 14.7 13.6 11.4  8.7  9.9 11.0    1
1935  7.4  7.8  8.6  9.4 11.7 13.4 15.6 15.4 14.0 11.2  8.1  6.3 10.7    1
1936  6.4  7.2  8.4  8.4 11.5 13.9 14.9 15.8 14.8 12.6  8.9  8.5 10.9    1
1937  7.7  7.9  5.4 10.1 11.9 13.6 15.0 15.9 13.7 10.9  8.4  6.8 10.6    1
1938  8.0  7.4  9.7  9.6 11.2 13.7 14.1 15.4 13.9 12.1 10.9  7.0 11.1    1
1939  6.6  8.7  7.7  9.5 12.2 14.8 14.4 15.9 14.7 10.0 10.8  6.4 11.0    1
1940  6.2  8.1  8.7  9.9 12.6 15.9 14.4 15.9 13.8 11.0  9.2  7.9 11.1    1
1941  5.2  6.2  7.3  8.2 10.7 14.5 15.1 14.7 15.0 12.7  8.7  9.4 10.6    1
1942  7.4  6.0  9.1 10.4 11.9 13.9 14.9 15.8 13.6 10.7  6.2  9.8 10.8    1
1943  8.4  8.9  9.1 10.8 11.7 14.1 15.8 14.9 13.1 11.6  9.5  7.4 11.3    1
1944  9.5  6.6  8.0 10.9 11.8 13.9 15.7 16.1 13.1 10.8  9.0  8.1 11.1    1
1945  4.8  9.4  9.8 10.9 12.3 13.8 15.6 15.9 15.1 13.6 10.7  9.2 11.8    1
1946  7.7  8.6  8.1  9.8 11.9 13.0 14.7 14.1 14.1 12.2 10.1  7.2 11.0    1
1947  6.5  2.8  6.8  9.5 11.2 14.0 14.6 17.3 14.7 12.7  9.9  8.0 10.7    1
1948  5.9  6.4  9.7  8.9 11.2 12.9 14.9 14.9 13.9 11.3 10.3  7.4 10.6    3
1949  7.3  7.7  7.5  9.8 10.8 14.7 16.3 15.9 15.2 11.9  7.5  6.5 10.9    6
1950  6.2  5.6  8.1  7.7 11.4 14.6 14.9 14.2 12.0  9.8  5.6  2.4  9.4    7
1951  4.4  3.5  5.0  6.8  9.6 13.2 15.1 13.8 13.1 10.7  7.8  5.9  9.1    7
1952  3.5  5.0  7.4  9.0 12.0 13.0 15.5 14.9 10.9  9.5  5.8  4.8  9.3    7
1953  5.3  6.0  6.1  6.9 12.2 13.4 14.5 14.7 13.6  9.8  8.3  7.7  9.9    7
1954  4.8  4.6  6.5  8.4 10.8 12.6 13.4 13.6 11.7 11.4  6.6  7.4  9.3    8
1955  3.9  2.1  4.2  9.6  9.6 13.1 16.3 17.0 13.9  9.1  8.0  6.9  9.5   10
1956  4.5  2.8  7.7  8.1 11.2 12.6 14.5 13.0 13.4 10.0  7.6  7.0  9.4   10
1957  5.8  5.4  9.6  8.7 10.8 14.0 15.0 14.6 12.4 10.5  7.0  6.0 10.0   10
1958  5.1  6.0  5.0  8.1 10.0 12.8 14.6 14.8 14.3 10.9  8.5  5.3  9.6   10
1959  3.4  6.7  7.6  8.7 12.0 14.0 15.4 15.7 14.4 12.2  7.2  6.1 10.3   10
1960  4.9  4.2  7.3  9.0 12.3 14.6 14.3 14.2 12.5  9.9  7.2  4.4  9.6   10
1961  4.7  7.8  8.8  9.5 10.8 13.0 13.9 14.1 13.4 10.0  6.9  4.1  9.8   14
1962  5.2  5.8  4.3  7.9 10.1 12.4 14.0 13.6 11.9 10.7  6.5  5.2  9.0   14
1963  0.7  2.5  6.9  8.1  9.8 13.6 14.0 13.6 12.2 11.2  7.6  4.7  8.7   14
1964  6.1  5.7  6.2  8.4 11.8 12.8 14.7 14.3 13.6  9.7  8.2  5.2  9.7   14
1965  4.0  4.1  6.3  8.4 10.9 13.2 13.5 14.1 11.5 11.3  5.4  5.5  9.0   14
1966  4.9  6.8  7.4  7.6 10.6 13.9 14.4 14.2 13.9  9.2  5.8  6.5  9.6   14
1967  5.6  5.8  6.7  8.7  9.1 13.4 14.8 14.3 12.8  9.6  6.4  6.0  9.4   14
1968  6.2  3.2  6.5  7.7  9.4 13.6 14.1 15.0 13.2 12.5  7.9  5.4  9.6   14
1969  5.6  2.4  5.0  7.9 10.4 13.0 15.3 14.9 13.3 12.9  5.5  5.5  9.3   14
1970  5.1  4.2  5.4  7.1 11.9 15.1 14.2 14.6 13.3 11.0  7.6  5.4  9.6   14
1971  6.5  6.4  6.6  8.2 10.8 12.3 15.2 14.6 14.8 12.5  8.1  8.1 10.3   13
1972  5.0  5.7  6.5  8.6  9.9 11.1 14.5 13.7 12.2 11.4  7.2  7.4  9.4   13
1973  6.8  6.1  7.1  7.7 10.6 13.4 14.3 15.1 13.7 10.5  8.4  6.7 10.0   13
1974  7.0  6.3  6.5  8.9 10.5 12.9 14.1 14.3 11.4  8.8  6.9  8.5  9.7   13
1975  7.0  7.1  6.0  8.5 10.2 13.8 15.7 16.0 12.5 11.4  8.0  6.6 10.2   13
1976  7.0  6.2  6.9  8.7 10.6 14.6 15.9 16.4 13.2  9.8  7.3  4.0 10.1   13
1977  4.3  5.7  7.6  7.7 10.5 12.2 15.4 14.9 12.9 12.0  6.6  7.7  9.8   13
1978  4.9  4.7  6.9  7.5 11.3 12.7 14.1 14.4 14.0 12.3  9.5  6.1  9.9   13
1979  3.3  4.0  5.2  7.4  8.9 13.0 14.9 13.9 12.9 11.3  8.5  6.4  9.1   13
1980  4.8  6.7  5.9  8.9 11.1 12.8 13.8 15.0 13.9  9.7  7.7  7.2  9.8   13
1981  6.8  5.4  8.2  8.7 10.6 12.8 14.4 15.8 14.0  8.0  8.7  3.7  9.8   13
1982  5.7  6.7  6.6  9.0 10.7 14.0 15.5 14.7 13.1 10.3  7.4  5.5  9.9   13
1983  6.9  4.0  7.5  6.4  9.7 13.2 17.3 16.8 13.2 10.5  8.7  7.5 10.1   13
1984  4.3  6.0  5.6  9.0  9.9 13.8 15.8 16.3 13.1 10.6  7.0  6.5  9.8   13
1985  2.6  5.4  5.9  8.9 10.2 12.2 14.5 13.3 14.1 11.1  5.3  7.0  9.2   13
1986  4.8  1.8  6.0  5.9  9.9 13.4 14.5 12.3 11.6 10.8  7.8  6.3  8.8   13
1987  4.0  5.2  5.8  9.6 10.2 12.3 15.3 15.2 12.7  9.1  7.6  7.3  9.5   13
1988  5.7  5.4  7.4  8.9 10.9 14.3 13.8 14.1 12.6 10.5  7.4  8.6 10.0   13
1989  7.8  6.7  7.3  6.7 11.9 13.4 17.3 15.4 13.2 11.6  7.8  5.5 10.4   13
1990  6.9  6.9  8.6  8.2 12.4 13.0 15.8 16.1 12.7 11.4-99.0-99.0 11.2   13
AA    5.5  5.4  6.8  8.3 10.8 13.4 14.9 14.7 13.1 10.7  7.5  6.3  9.8
Ad    6.5  6.5  7.2  8.8 11.1 13.6 15.0 15.0 13.5 11.0  8.3  7.1 10.3

For Country Code 605

From input file ./data/v1.mean
```

v2 data:

Notice that they put some more early data in for the one thermometer from 1831 to 1868. So nice to have a bit more history. I find it interesting that in 1834 it was 10.0 C, in 1857 it is 10.2 C, in 1898 it is 10.5 C, and in 2008 it is 10.1 C. Not a whole lot of divergence there. All the “warming” comes out of more consistent 10.x and fewer 9.x and 8.x data. The last two lines are two different ways of calculating an overall average (by individual temps, or by average of the monthly averages). If you compare them to the 200x date just above them, it isn’t the summers that are getting hotter, it’s the winters that are less cold. Tarmac and jet engines anyone? Also notice that the late ’20s through ’40s are 10.x for most years. Heck, 1945 is 11.1 C.

I just don’t see a lot of ‘global warming’ in this and do see a lot of cyclical changes with a touch of Airport UHI.

```Thermometer Records, Average of Monthly Data and Yearly Average
by Year Across Month, with a count of thermometer records in that year
--------------------------------------------------------------------------
YEAR  JAN  FEB  MAR  APR  MAY  JUN JULY  AUG SEPT  OCT  NOV  DEC  YR COUNT
--------------------------------------------------------------------------
1831  4.4  5.7  7.2  8.2 10.1 13.3 14.8 15.3 11.9 11.4  6.7  6.1  9.6    1
1832  5.1  5.3  5.7  8.0  9.2 13.0 14.6 13.5 12.2 10.2  6.3  6.1  9.1    1
1833  3.9  5.6  3.9  7.0 12.4 11.8 15.2 13.1 11.9 10.2  7.4  6.4  9.1    1
1834  6.6  6.4  7.1  8.0 11.4 12.6 15.6 14.1 13.5  9.8  7.6  6.8 10.0    1
1835  4.6  5.5  6.1  8.6  9.7 13.1 15.1 15.3 11.9  8.7  8.1  6.2  9.4    1
1836  5.3  3.9  5.2  6.8 11.2 13.8 14.0 13.3 10.6  8.7  5.7  5.0  8.6    1
1837  4.1  6.6  3.1  4.2  8.7 13.3 16.0 14.1 12.1 10.4  6.8  7.5  8.9    1
1838  2.7  2.7  4.8  5.4  9.4 11.9 14.1 13.5 12.2  9.3  5.7  6.2  8.2    1
1839  3.8  4.9  5.6  7.1  8.8 12.8 14.6 13.9 11.8 10.1  7.0  4.9  8.8    1
1840  6.2  4.3  5.5  9.2 10.5 12.7 13.2 15.2 10.7  7.9  6.4  4.4  8.9    1
1841  2.3  4.7  8.1  7.7 11.3 12.5 13.0 13.9 13.4  8.7  5.6  5.7  8.9    1
1842  3.7  5.2  6.8  7.3 10.2 14.4 13.7 15.1 12.8  7.3  7.0  8.7  9.4    1
1843  5.4  2.9  6.5  8.1  9.6 12.2 14.0 14.2 13.7  7.6  6.6  8.9  9.1    1
1844  5.0  3.2  5.5  9.5 10.7 13.4 14.6 12.8 12.8  9.1  8.0  3.4  9.0    1
1845  4.9  4.0  4.1  8.6  9.9 13.4 13.2 12.9 10.9  9.8  7.0  5.2  8.7    1
1846  7.3  6.7  6.0  7.4 11.4 16.3 15.2 14.8 13.7  9.8  8.2  2.3  9.9    1
1847  5.2  3.1  5.9  7.0 11.3 12.8 16.3 13.9 11.3 10.6  8.9  6.1  9.4    1
1848  2.6  6.5  5.5  7.2 12.8 12.4 14.1 12.4 12.3  8.8  5.8  5.9  8.9    1
1849  5.7  6.2  6.5  5.9 11.0 12.3 14.3 14.1 12.4  9.2  7.8  4.2  9.1    1
1850  3.2  7.3  5.2  8.7  9.7 14.0 14.8 13.5 11.3  8.2  8.3  7.4  9.3    1
1851  6.0  5.9  6.1  7.0 10.2 13.2 13.9 14.8 12.0 10.3  4.4  5.9  9.1    1
1852  5.5  5.2  5.7  8.3 10.6 12.2 16.3 14.4 11.6  8.1  7.5  8.0  9.4    1
1855-99.0  0.2  4.9  7.9  8.7 12.7 15.9 15.4 13.0  9.5  5.7  3.8  8.9    1
1856  4.2  5.9  4.8  7.7  9.1 13.0 15.0 16.1 12.1 10.9  6.7  4.8  9.2    1
1857  4.2  5.6  5.5  7.5 10.8 14.3 15.6 16.1 14.0 11.5  8.4  8.8 10.2    1
1858  6.6  4.8  6.0  8.2 10.8 15.2 13.9 14.3 14.1  9.4  6.1  6.9  9.7    1
1859  6.2  6.4  8.2  7.6 10.5 13.9 17.0 15.7 12.6  9.8  6.6  3.0  9.8    1
1860  4.5  3.5  5.5  6.4 11.6 12.0 14.1 13.2 11.1 10.4  6.1  2.7  8.4    1
1861  5.6  5.8  6.6  8.6 11.9 14.9 15.2 15.9 12.1 10.3  4.2  5.0  9.7    1
1862  5.5  5.9  6.5  9.2 11.4 12.5 12.9 13.5 12.5  9.6  3.6  7.0  9.2    1
1863  4.5  6.7  7.7  8.7 11.1 13.8 15.1 14.9 11.5  9.5  9.0  6.8  9.9    1
1864  4.5  3.2  6.0 10.1 12.5 13.6 15.9 14.0 13.3  9.7  6.5  4.7  9.5    1
1865  3.0  4.7  4.7 10.2 12.0 16.1 16.4 15.6 16.2 10.5  6.6  7.3 10.3    1
1866  6.1  4.9  5.2  8.7  9.7 14.2 15.7 14.5 11.6 10.4  6.9  6.8  9.6    1
1867  2.0  7.1  4.3  9.8 11.2 14.6 14.7 16.2 13.3 10.2  5.8  5.2  9.5    1
1868  5.4  6.9  8.1  9.5 12.3 15.0 17.3 15.4 14.0  8.9  6.2  7.1 10.5    1
1869  7.8  8.6  5.9 10.4  9.7 13.5 16.6 15.3 13.9 11.5  8.4  5.1 10.6    2
1870  5.7  4.8  6.8  9.7 11.8 14.3 16.0 15.4 14.4 11.0  6.7  3.3 10.0    2
1871  4.5  8.1  8.3  9.8 12.2 13.7 14.9 16.0 12.5 11.2  6.8  6.1 10.3    2
1872  6.4  8.0  7.8  8.9 10.2 13.3 15.8 15.3 13.4  9.0  7.5  6.4 10.2    2
1873  6.4  4.3  6.3  8.9 10.9 14.2 15.2 15.1 12.4  9.6  7.6  7.6  9.9    2
1874  6.0  6.6  8.3  9.7 11.0 14.0 15.8 15.0 13.0 10.5  8.5  4.1 10.2    2
1875  8.7  5.2  6.9  9.3 12.1 13.2 14.4 16.1 14.8 10.4  7.1  5.6 10.3    2
1876  6.5  6.9  5.6  8.7 10.4 13.2 15.8 15.6 13.0 11.8  8.5  7.3 10.3    2
1877  7.0  7.8  6.6  8.5 10.2 14.4 14.6 14.8 12.3 11.4  8.2  6.9 10.2    2
1878  6.9  7.9  7.6  9.7 11.9 14.4 16.7 16.1 14.2 11.2  4.9  2.0 10.3    2
1879  3.2  5.3  6.5  7.5  9.6 13.0 13.4 13.4 11.9  9.8  6.8  4.6  8.8    2
1880  5.1  7.1  7.8  8.0 10.8 13.3 14.6 16.2 14.5  7.5  7.2  6.5  9.9    2
1881  1.6  5.3  6.6  7.9 11.5 12.7 14.7 13.5 12.5  9.6 10.3  5.7  9.3    2
1882  7.6  7.9  8.3  8.4 11.1 12.6 14.2 14.5 11.6 10.0  7.1  4.5  9.8    2
1883  6.6  6.6  4.3  7.9 10.0 13.0 13.5 14.4 12.6 10.1  7.5  6.4  9.4    2
1884  7.7  6.7  7.2  7.5 10.8 13.0 14.8 15.1 13.8 10.2  6.6  6.0  9.9    2
1885  5.6  6.3  5.6  7.7  8.8 12.3 15.0 14.0 12.2  8.2  8.1  5.9  9.1    2
1886  3.9  4.9  5.4  7.9  9.7 13.4 15.0 14.7 13.0 10.9  8.3  4.3  9.3    2
1887  6.0  6.1  5.2  6.8 10.2 15.8 16.3 15.3 12.2  8.6  6.1  4.8  9.4    2
1888  6.0  3.8  4.4  7.2 10.5 13.0 13.5 14.2 12.2 10.0  8.9  6.8  9.2    2
1889  6.3  5.3  6.5  7.5 11.2 13.6 14.1 14.1 13.3  8.9  8.4  7.0  9.7    2
1890  7.0  5.3  6.9  8.2 10.8 13.3 13.3 13.4 14.5 11.2  7.6  4.0  9.6    2
1891  4.7  7.1  5.2  7.3  9.0 14.2 14.3 13.9 13.4  9.3  6.4  6.7  9.3    2
1892  4.2  5.2  4.1  7.8 11.1 12.8 13.9 14.6 12.1  7.2  8.3  5.6  8.9    2
1893  5.3  5.9  8.4 10.3 13.0 14.0 15.6 16.3 12.7  9.9  6.5  6.4 10.4    2
1894  5.0  7.2  7.4  9.4  9.3 13.2 14.4 13.8 11.7  9.7  8.4  6.9  9.7    2
1895  2.7  1.4  6.6  8.5 11.2 14.1 14.1 14.6 14.2  8.0  8.0  6.0  9.1    2
1896  6.6  7.2  7.6  9.6 11.9 15.1 15.1 14.1 13.1  7.1  6.2  5.3  9.9    2
1897  3.5  7.6  6.9  7.6 10.0 13.9 15.6 15.0 12.1 11.5  9.1  7.3 10.0    2
1898  8.4  6.4  5.5  8.8 10.1 13.3 15.4 15.5 15.1 11.4  8.0  8.5 10.5    2
1899  5.8  6.5  7.0  8.4 10.2 14.7 15.8 16.8 13.3 10.1  9.9  5.9 10.4    2
1900  6.1  3.1  4.5  9.1 10.4 13.6 16.1 14.4 13.3 10.0  7.4  8.0  9.7    2
1901  5.8  3.8  5.2  8.0 11.0 12.8 15.9 14.7 13.4  9.7  6.8  5.1  9.3    2
1902  6.4  4.1  7.5  7.6  9.4 13.0 14.3 14.1 13.1 10.6  8.5  6.7  9.6    2
1903  5.7  8.0  7.0  7.2 10.4 12.8 14.6 13.3 12.5 10.2  7.5  5.0  9.5    2
1904  5.8  5.0  5.5  8.5 10.4 13.0 15.0 14.2 12.7 10.4  7.4  6.8  9.6    2
1905  6.8  6.3  6.7  7.9 10.8 14.1 16.1 13.8 12.0  8.2  5.8  8.1  9.7    2
1906  6.7  4.6  6.5  7.1  9.8 14.0 14.7 15.8 13.2 10.4  8.4  5.6  9.7    2
1907  5.7  4.8  7.7  7.6  9.8 11.9 14.5 14.1 13.9  9.7  7.1  6.4  9.4    2
1908  5.4  7.3  5.6  6.8 11.8 13.1 15.1 14.6 12.7 12.8  9.3  7.2 10.1    2
1909  6.4  5.8  5.0  8.7 10.8 12.0 14.3 15.0 12.0 10.4  6.0  5.4  9.3    2
1910  5.5  6.0  6.8  7.2 10.5 13.5 14.2 14.5 12.3 11.0  5.8  7.1  9.5    2
1911  5.7  6.2  6.2  8.1 11.6 13.5 16.5 16.0 12.9 10.4  6.8  7.0 10.1    2
1912  5.8  6.4  7.5  8.9 11.5 12.8 14.1 11.9 11.7  9.2  7.8  7.9  9.6    2
1913  5.9  6.0  6.2  7.8 10.3 12.7 14.2 14.8 13.3 10.9  9.0  6.3  9.8    2
1914  6.2  7.4  6.8  9.2 10.6 13.4 14.7 15.3 13.4 10.7  7.7  5.1 10.0    2
1915  5.2  4.6  6.1  8.6 10.7 13.5 14.0 14.5 13.7 10.3  5.2  6.2  9.4    2
1916  8.4  5.0  4.4  8.0 10.5 11.8 14.9 16.3 13.7 11.5  8.0  4.1  9.7    2
1917  3.6  3.6  5.3  6.3 11.5 13.3 15.4 14.8 13.5  8.3  7.9  5.0  9.0    2
1918  5.8  8.4  6.8  7.4 11.6 13.1 14.3 15.3 11.6  9.4  7.4  8.1  9.9    2
1919  5.0  4.9  4.7  8.0 12.1 13.2 13.5 15.3 12.5  9.8  4.2  7.2  9.2    2
1920  6.5  7.7  6.9  7.9 10.9 13.3 13.5 13.8 13.0 11.5  9.5  6.0 10.0    2
1921  8.4  6.6  7.6  8.3 10.4 13.9 17.4 14.2 13.7 12.8  8.8  8.7 10.9    2
1922  6.2  6.8  6.3  5.7 11.7 12.8 13.0 13.3 12.2  9.6  8.0  6.6  9.3    2
1923  7.2  7.1  7.2  7.5  9.1 12.8 15.9 14.4 12.2 10.0  4.9  6.7  9.6    2
1924  6.9  5.3  5.7  7.2 10.7 13.3 14.2 13.9 12.4 10.5  8.6  8.1  9.7    2
1925  7.2  5.6  6.1  7.5 10.2 14.0 14.8 14.9 11.8 11.1  5.4  5.2  9.5    2
1926  6.9  8.0  7.4  9.3 10.1 12.9 16.4 15.9 14.0  9.0  6.7  5.9 10.2    2
1927  6.1  6.5  7.9  8.4 11.1 11.9 15.0 14.9 12.2 11.2  7.2  5.3  9.8    2
1928  6.9  7.6  6.6  7.8 10.8 12.8 14.9 14.3 12.6 11.1  8.5  6.1 10.0    2
1929  4.7  5.8  7.5  7.9 10.8 12.8 14.8 14.8 14.3 10.2  7.6  6.5  9.8    2
1930  5.7  3.3  6.3  8.0 10.7 13.7 14.4 14.1 13.2 10.9  7.2  6.5  9.5    2
1931  5.5  6.0  6.4  8.5 10.8 14.1 14.6 14.3 12.2 10.2  8.6  7.7  9.9    2
1932  8.1  5.1  6.3  7.3 10.4 14.2 15.3 16.0 12.9  9.5  8.5  7.6 10.1    2
1933  4.7  5.5  8.0  9.9 11.9 14.1 16.9 16.5 14.6 11.1  7.3  5.2 10.5    2
1934  7.2  5.7  6.7  7.7 11.1 15.0 17.1 14.6 13.7 10.9  7.6  9.2 10.5    2
1935  6.4  6.9  7.9  8.3 10.7 13.6 15.7 15.6 13.5 10.3  7.0  4.9 10.1    2
1936  4.9  5.8  7.7  7.3 10.8 13.7 14.7 15.8 14.1 11.5  7.2  7.3 10.1    2
1937  6.7  6.6  4.2  9.5 11.6 13.5 15.1 15.7 13.1 10.0  7.4  5.1  9.9    2
1938  7.0  6.8  9.4  8.4 10.7 13.5 14.1 15.0 13.6 11.3 10.1  5.8 10.5    2
1939  5.3  7.6  7.2  9.0 11.6 14.1 14.6 15.5 13.9  9.4  9.8  5.2 10.3    2
1940  3.6  6.8  7.7  9.4 12.0 15.6 14.2 15.7 13.1 10.5  8.0  6.3 10.2    2
1941  3.3  5.0  6.4  7.3 10.0 14.2 15.0 14.5 14.8 11.7  7.7  7.9  9.8    2
1942  5.8  4.4  7.9  9.7 11.2 13.6 14.8 15.4 13.0 10.0  5.5  8.6 10.0    2
1943  7.0  7.8  8.0 10.3 11.0 13.7 15.4 14.8 12.8 11.1  8.1  6.1 10.5    2
1944  8.3  5.6  6.9 10.5 11.3 13.4 15.6 16.0 12.5  9.9  7.8  6.7 10.4    2
1945  3.2  8.7  9.4 10.3 11.7 13.9 15.6 15.5 14.5 12.6  9.3  8.1 11.1    2
1946  6.1  7.5  7.1  9.2 10.7 12.7 14.8 13.8 13.7 11.3  9.0  5.5 10.1    2
1947  5.2  1.7  5.6  9.0 11.2 14.0 14.7 17.0 14.2 11.9  8.9  6.8 10.0    2
1948  5.7  6.3  9.7  8.9 11.2 12.9 15.0 14.9 13.9 11.3 10.3  7.2 10.6    3
1949  7.5  7.8  7.6  9.7 10.8 14.8 16.3 16.0 15.3 12.0  7.5  6.5 11.0    6
1950  6.1  5.5  8.1  7.7 11.5 14.6 14.9 14.2 12.0  9.8  5.5  2.4  9.4    7
1951  4.4  3.5  5.1  6.9  9.6 13.2 15.2 13.8 13.1 10.7  7.8  6.0  9.1    7
1952  3.5  5.0  7.5  9.0 12.1 13.0 15.4 14.9 10.9  9.5  5.7  4.8  9.3    7
1953  5.2  6.1  6.1  7.0 12.3 13.5 14.5 14.7 13.7  9.9  8.3  7.7  9.9    7
1954  4.8  4.6  6.6  8.5 10.8 12.6 13.4 13.6 11.7 11.4  6.6  7.4  9.3    8
1955  3.8  2.1  4.2  9.7  9.8 13.1 16.4 17.1 13.9  9.1  7.9  6.9  9.5   10
1956  4.5  2.5  7.8  8.2 11.2 12.7 14.5 13.1 13.5 10.0  7.6  7.1  9.4    9
1957  5.8  5.5  9.7  8.7 11.0 14.1 15.2 14.6 12.4 10.6  6.9  6.0 10.0    9
1958  5.2  6.0  5.1  8.2 10.2 12.9 14.7 14.9 14.3 11.0  8.6  5.4  9.7    9
1959  3.5  6.7  7.6  8.7 12.1 14.0 15.5 15.8 14.6 12.3  7.2  6.1 10.3    9
1960  4.9  4.2  7.4  9.1 12.3 14.6 14.3 14.3 12.5  9.9  7.2  4.4  9.6    9
1961  4.9  7.9  8.8  9.5 10.8 12.9 13.9 14.1 13.3 10.0  6.9  4.2  9.8   14
1962  5.3  5.9  4.3  8.0 10.1 12.4 14.0 13.6 11.9 10.7  6.6  5.3  9.0   14
1963  0.6  2.5  6.9  8.1  9.7 13.6 13.9 13.5 12.2 11.2  7.6  4.7  8.7   14
1964  6.1  5.7  6.3  8.4 11.8 12.7 14.6 14.3 13.5  9.7  8.2  5.3  9.7   14
1965  4.0  4.0  6.3  8.4 10.9 13.2 13.5 14.0 11.4 11.3  5.4  5.6  9.0   14
1966  4.9  6.8  7.4  7.7 10.6 13.9 14.3 14.1 13.8  9.1  5.8  6.6  9.6   14
1967  5.6  5.8  6.7  8.6  9.1 13.3 14.7 14.2 12.7  9.6  6.5  6.1  9.4   14
1968  6.2  3.1  6.5  7.7  9.4 13.6 14.1 15.0 13.1 12.5  7.9  5.4  9.5   14
1969  5.7  2.4  5.1  7.9 10.3 13.0 15.1 14.8 13.2 12.9  5.5  5.5  9.3   14
1970  5.2  4.2  5.4  7.1 11.8 15.0 14.1 14.6 13.3 11.0  7.7  5.4  9.6   14
1971  6.1  6.1  6.2  7.9 10.6 12.2 15.2 14.5 14.5 12.2  7.7  7.7 10.1   14
1972  4.7  5.5  6.3  8.4  9.6 11.0 14.6 13.6 11.9 11.1  6.7  7.1  9.2   14
1973  6.5  5.8  6.8  7.6 10.6 13.5 14.4 15.1 13.4 10.2  8.0  6.3  9.9   14
1974  6.8  6.0  6.3  8.8 10.3 12.8 14.0 14.0 11.1  8.4  6.6  8.3  9.4   14
1975  6.8  6.8  5.7  8.3 10.2 13.8 15.7 16.0 12.2 11.1  7.6  6.3 10.0   14
1976  6.8  6.0  6.7  8.4 10.4 14.7 15.8 16.3 12.9  9.5  6.8  3.5  9.8   14
1977  3.8  5.5  7.4  7.5 10.4 12.2 15.3 14.8 12.7 11.8  6.1  7.5  9.6   14
1978  4.6  4.3  6.7  7.2 11.2 12.6 14.0 14.3 13.8 12.1  9.2  5.8  9.7   15
1979  2.8  3.6  5.0  7.3  8.8 13.0 15.0 13.8 12.7 11.1  8.1  5.9  8.9   15
1980  4.3  6.4  5.6  8.7 10.9 12.7 13.7 14.9 13.8  9.3  7.4  6.8  9.5   15
1981  6.8  5.4  8.1  8.7 10.6 12.8 14.3 15.8 13.9  7.9  8.6  3.6  9.7   14
1982  5.4  6.5  6.5  9.0 10.8 14.0 15.5 14.6 13.0 10.2  7.4  5.4  9.9   14
1983  7.0  4.0  7.5  6.3  9.6 13.2 17.3 16.7 13.2 10.4  8.7  7.6 10.1   14
1984  4.4  6.1  5.5  9.1 10.0 13.7 15.9 16.3 13.0 10.6  6.8  6.5  9.8   14
1985  2.6  5.4  5.8  8.9 10.3 12.2 14.5 13.3 14.1 11.0  5.2  7.0  9.2   14
1986  4.9  1.8  5.9  5.9  9.9 13.4 14.5 12.3 11.6 10.7  7.8  6.3  8.8   14
1987  4.2  5.2  5.8  9.6 10.3 12.3 15.3 15.1 12.7  9.0  7.6  7.3  9.5   14
1988  5.6  5.4  7.4  9.0 10.9 14.2 13.7 14.0 12.6 10.5  7.4  8.7  9.9   14
1989  7.8  6.6  7.1  6.7 12.0 13.4 17.1 15.4 13.2 11.6  7.7  5.5 10.3   14
1990  7.0  6.9  8.6  8.1 12.5 12.8 15.8 16.0 12.6 11.4  7.5  5.4 10.4   14
1991  5.1  4.5  8.1  8.4 11.9 12.4 15.7 15.9 14.5-99.0  7.6  7.4 10.1    6
1992  6.4  7.3-99.0  8.7 12.4 14.4 15.4 13.9 11.9  8.6  8.3  5.9 10.3    6
1993  7.0  7.5  7.4  9.6 10.7 13.6 14.4 14.0 12.5  8.5  7.1-99.0 10.2    9
1994  5.6  5.2  7.6  7.9 10.3 12.7 14.9 14.3 12.5 11.1 10.3  9.1 10.1    9
1995  5.9  6.9  6.2  9.1 10.7 13.9 16.6 17.8 13.4 12.6  8.9  5.3 10.6    6
1996  6.6  5.1  6.0  8.9  9.1 13.4 15.0 14.8 14.0 11.6  7.0  5.3  9.7    8
1997  5.1  7.0  8.4  9.9 11.4 13.1 15.4 16.4 14.0 11.6  9.3  7.4 10.8    8
1998  6.4  8.4  8.6  7.7 12.0 13.1 14.5 15.2 14.3 11.2  8.2  7.3 10.6    8
1999  6.4  6.9  7.6  9.4 12.1 12.6 16.0 15.4 14.3 11.2  8.6  6.0 10.5    8
2000  6.0  7.0  8.0  7.5 11.3 13.6 15.3 15.6 13.8 10.1  7.2  6.4 10.2    8
2001  4.8  5.5  6.1  8.0 11.8 13.1 15.0 15.1 13.6 12.7  9.1  6.0 10.1    8
2002  7.9  7.2  7.9  9.0 11.1 12.8 14.3 15.2 13.9 10.4  9.2  7.0 10.5    8
2003  5.9  6.1  8.1  9.9 10.9 14.1 15.7 16.4 14.0 10.2  8.9  6.7 10.6    8
2004  6.5  6.0  7.4  9.1 11.3 14.3 14.4 15.7 14.2  9.7  9.4  7.6 10.5    8
2005  7.4  5.7  8.2  8.7 10.6 14.4 15.5 15.4 14.2 12.0  7.8  7.0 10.6    8
2006  6.4  5.9  6.3  8.5 11.0 14.6 16.8 15.4 15.0 12.5  8.5  7.6 10.7    8
2007  7.0  6.5  7.3 10.9 11.5 14.0 14.6 14.9 13.6 12.3  9.4  7.6 10.8    8
2008  6.9  6.8  6.7  8.2 12.8 13.3 15.1 15.2 12.7  9.7  7.9  5.8 10.1    8
2009  5.5  5.9  7.6  9.2 11.1 14.2 15.0 14.9 13.2 11.9  8.2-99.0 10.6    7
AA    5.3  5.3  6.6  8.2 10.6 13.2 14.8 14.7 13.0 10.6  7.3  6.1  9.6
Ad    5.5  5.7  6.6  8.3 10.8 13.4 14.9 14.8 13.0 10.3  7.4  6.2  9.7

For Country Code 621

From input file /gnuit/GIStemp/STEP0/to_next_step/v2.mean_comb
```

Next step for me will be to look at particular instruments in Ireland and see if these shifts in the data are entirely an artifact of the ‘splice’ of different thermometers, or if the individual records have difference of data for the same instrument.

After that, I’ll do the dT/dt comparison (that does a stellar job of eliminating splice artifacts) and see if minus the splice there is any ‘warming’ trend left.

On a first look, all I see is some thermometer change being reflected in an artificial warming trend from splice artifacts. But that thesis needs checking…

7. Hugo M says:

E.M., have you figured out how the 7-digit v1 station numbers map to eight digit station numbers introduced in v2 and v3? A prefixed/postfixed ‘0’ perhaps?

8. hillbilly33 says:

Hi E.M. As you’re back in Ireland, if you get time have a look at the major differences between graphs of Valentia at John Daly’s site (starting in 1869) and the one at at GISS starting in 1880.
I posted on Valentia and other Ireland stations some time ago in relation to them all showing
falls in temperature ranging from 1.4 to 1.8C between 2006 -2010,. As you know John noted the value of looking at quote: “individual station records, particularly those which are known to be rural, have continuous and consistent data and are known to be properly supervised. The ‘ideal’stations are those which have everything – a long-term record, no breaks, scientifically supervised,
completely rural (i.e., ‘greenfields’) and set in a climatically strategic location. An example is Valentia in Ireland which is located on an island in the extreme southwest of Ireland, right on the coast of County Kerry facing the North Atlantic. It is the first point of interception for the Gulf Stream entering northern Europe and is directly exposed to the prevailing south-westerly winds which blow in from the ocean. It is the perfect location to monitor climate change and as we can readily see (in accompanying graph) there hasn’t been any. There has been variation year-to-year over a 2 degree range, but no overall trend since 1869 ( a year which was itself warmer than 1999). The pre-war warming is present – just, but quickly followed by a similar cooling.”

Perhaps some kind contributor could post the two graphs as I’m sure they’d create considerable discussion and I apologise for not having the skills to do so myself.

From my garden “climate model” in Tasmania, I report that I had a good crop from the FIRST flowering of my Scarlet Runner beans, a fantastic crop of tomatoes and many other garden goodies and the growth of trees and shrubs over the last few years has been phenomenal. Most of Australia has never looked better so bring on “global warming” and more CO2 please!

I don’t post much here anymore but I always check you out and often link you over at Jo Nova. I’ll be very interested in the results of your current track. Meanwhile, I’ll raise a good RED to you on my 79th on Saturday and toast you, yours, the bunnies and the cats for the enrichment you’ve brought to my life. Thank you, with cheers and best wishes to all from Way Down Under!

http://www.john-daly.com/ges/surtmp/surftemp.htm

The Valentia link is at the end of his ‘What’s wrong with the surface record’ article

http://data.giss.nasa.gov/gistemp/station_data/

9. Mike Bromley the Canucklehead says:

The point remains, and it is well taken: average temperatures of different air masses are essentially meaningless. Just as the base premise of climate change ‘science’ (a ‘flat’, unchanging climate baseline) is flawed, so is the method of determining ‘change’.

10. Paul Matthews says:

Chiefie, I have also been writing fortran code to look through GHCN data, but only the v3 data.
There are some amazing errors in the GHCN adjustment algorithm, documented in a series of about 20 posts at Paul Homewood’s blog notalotofpeopleknowthat starting mid-January.

The ‘adjustments’ generally cool the past leading to artificial warming. In the case of Australia Paul looked at stations that had records back to 1940 and found that there were 8 stations where 1940 was cooled, and none where it was warmed. For Iceland, there was a cooling in the raw data in 1965, well established in the literature, that was obliterated by the adjustments, leading to fake warming.

More recently it’s become clear that almost every time they release the latest data, the past adjustments change quite considerably. For example the adjustment for Alice Springs has recently been changed by over three degrees, see my latest comment on Paul’s blog. It is not clear whether this is because they are constantly changing the algorithm or whether their algorithm is unstable and buggy.

11. E.M.Smith says:

Looking at Valentia Observatory in the “inventory” file…

The v1 entry is
605 03953 00 for Country Code, WMO, modifier. Name is “VALENTIA OBSERVATORY”
v2:
621 03953 000 Name is “VALENTIA OBSE”

Which illustrates one of the other minor annoyances. The names have minor variations so you can’t always use them for matching… Usually between WMO, name, and LAT LON you can be pretty sure, but even then sometimes stations keep the WMO and name but move a little (or have LAT LON corrected?) so it can take a bit of pondering. For this one the LAT and LON are constant.

OK, the actual v1 and v2 data entries. These will be the two slightly different CCode,WMO,mod, Year 12 months readings.

v1:

```60503953001869   87   93   70  111  108  138  163  155  140  123  101   66
60503953001870   68   54   76   98  113  143  161  164  148  120   81   49
60503953001871   62   88   87  104  128  142  147  158  132  119   82   73
60503953001872   76   85   86   92  104  129  154  153  140   98   83   79
60503953001873   75   55   69   97  115  139  147  148  128  103   84   94
60503953001874   79   81   88   99  118  144  156  152  132  113   97   64
60503953001875   96   63   76  102  119  131  145  160  153  112   82   71
60503953001876   76   81   66   92  111  130  154  157  133  122   98   83
60503953001877   81   86   74   92  106  141  142  147  128  121   92   84
60503953001878   83   88   86  101  118  138  167  162  145  118   66   41
60503953001879   53   64   74   81  100  127  131  139  125  106   81   69
60503953001880   68   79   92   92  117  137  149  171  152   84   87   81
60503953001881   37   66   78   91  123  129  144  139  132  111  112   73
60503953001882   87   88   91   95  118  129  139  147  122  108   86   65
60503953001883   79   74   57   87  104  134  135  146  134  112   92   79
60503953001884   88   78   81   87  117  131  149  149  141  111   78   76
60503953001885   69   74   68   83   95  129  152  152  131   94   93   71
60503953001886   55   63   64   90  103  138  150  149  139  114   92   63
60503953001887   75   74   64   77  111  163  164  156  130   97   72   62
60503953001888   72   48   53   79  112  138  139  148  130  112   97   83
60503953001889   75   69   73   81  111  138  146  142  142   98   96   84
60503953001890   79   63   74   90  112  130  137  140  144  124   86   52
60503953001891   59   83   61   86   97  144  143  139  136   99   75   83
60503953001892   56   61   53   89  116  133  147  147  126   79   92   79
60503953001893   65   67   93  115  137  158  158  167  134  107   75   74
60503953001894   58   81   86   99  103  139  143  141  128  108   91   85
60503953001895   42   27   73   93  117  146  143  147  146   93   84   77
60503953001896   76   84   86  101  126  150  152  146  137   78   69   65
60503953001897   47   86   74   84  109  139  160  150  125  122  100   82
60503953001898   91   75   63   90  107  137  159  160  159  122   93   94
60503953001899   67   77   77   90  114  152  158  179  141  113  106   75
60503953001900   73   42   55   98  113  140  160  150  141  109   83   90
60503953001901   70   46   61   84  123  134  156  150  139  106   77   65
60503953001902   76   50   81   83  101  136  148  149  138  114   96   78
60503953001903   69   86   76   82  110  138  150  139  134  106   87   63
60503953001904   69   62   62   88  109  134  152  142  132  112   88   83
60503953001905   81   72   73   90  114  146  159  141  124   93   68   88
60503953001906   77   61   74   80  102  145  148  156  141  112   92   73
60503953001907   68   61   87   82  107  122  149  146  147  102   83   74
60503953001908   64   81   67   79  122  137  151  152  131  137  108   88
60503953001909   77   68   60   94  115  125  143  154  133  112   68   66
60503953001910   69   68   77   78  112  137  147  148  129  121   75   82
60503953001911   71   73   71   84  121  141  165  164  137  115   78   79
60503953001912   72   72   78   99  122  132  143  126  127  106   91   90
60503953001913   68   69   72   83  105  128  148  155  143  115  100   75
60503953001914   72   80   78  100  110  138  144  154  145  115   90   63
60503953001915   67   56   66   95  123  145  145  151  148  117   66   74
60503953001916   91   58   51   87  108  123  150  168  145  124   87   54
60503953001917   47   47   64   70  122  134  157  149  137   95   72   62
60503953001918   66   88   76   88  123  138  149  153  123  103   89   92
60503953001919   63   65   56   85  125  133  141  157  133  108   52   84
60503953001920   75   85   74   83  111  136  135  144  136  127  104   72
60503953001921   92   75   82   94  108  145  176  144  141  138  104  100
60503953001922   77   79   73   68  119  131  130  136  131  104   89   79
60503953001923   83   80   81   81   99  127  157  147  127  106   61   82
60503953001924   79   64   73   82  112  132  141  141  130  117   93   90
60503953001925   84   68   70   82  104  141  143  149  126  120   68   66
60503953001926   79   91   83  101  108  131  169  159  146  102   79   68
60503953001927   73   80   85   88  121  126  149  149  127  123   84   66
60503953001928   83   87   73   84  118  135  148  147  133  118   95   75
60503953001929   58   75   90   90  113  133  148  148  150  110   90   76
60503953001930   66   44   72   85  113  139  142  140  138  118   87   78
60503953001931   72   73   82   93  113  140  147  150  132  114   97   93
60503953001932   93   59   75   83  110  147  151  166  137  108   99   84
60503953001933   62   67   89  102  123  137  166  164  151  119   87   62
60503953001934   82   65   76   81  111  153  170  147  136  114   87   99
60503953001935   74   78   86   94  117  134  156  154  140  112   81   63
60503953001936   64   72   84   84  115  139  149  158  148  126   89   85
60503953001937   77   79   54  101  119  136  150  159  137  109   84   68
60503953001938   80   74   97   96  112  137  141  154  139  121  109   70
60503953001939   66   87   77   95  122  148  144  159  147  100  108   64
60503953001940   62   81   87   99  126  159  144  159  138  110   92   79
60503953001941   52   62   73   82  107  145  151  147  150  127   87   94
60503953001942   74   60   91  104  119  139  149  158  136  107   62   98
60503953001943   84   89   91  108  117  141  158  149  131  116   95   74
60503953001944   95   66   80  109  118  139  157  161  131  108   90   81
60503953001945   48   94   98  109  123  138  156  159  151  136  107   92
60503953001946   77   86   81   98  119  130  147  141  141  122  101   72
60503953001947   65   28   68   95  112  140  146  173  147  127   99   80
60503953001948   78   77  106   95  121  133  148  153  143  121  118   90
60503953001949   91   91   89  106  114  151  165  163  158  131   97   91
60503953001950   87   78   98   95  130  149  157  149  133  115   82   52
60503953001951   63   51   64   83  106  138  154  146  136  118   96   79
60503953001952   59   71   88   93  122  132  159  154  122  113   81   74
60503953001953   73   73   76   82  122  133  148  151  142  112   98   96
60503953001954   67   67   81   97  112  129  136  140  129  126   86   91
60503953001955   61   41   56  106  104  137  164  178  151  106   95   92
60503953001956   68   44   93   91  116  130  146  136  142  109   89   86
60503953001957   73   68  106   96  116  141  154  153  136  117   83   77
60503953001958   71   79   72   92  107  131  146  152  150  118   99   68
60503953001959   61   86   86   93  123  141  153  158  152  136   87   77
60503953001960   68   57   90   96  126  147  144  148  133  104   85   68
60503953001961   70   92   97  106  115  131  144  145  139  112   84   65
60503953001962   71   71   58   93  111  128  145  143  129  115   77   70
60503953001963   26   44   83   88  105  141  144  139  132  122   91   62
60503953001964   77   75   81   92  126  130  146  149  143  115  100   71
60503953001965   57   47   84   95  117  133  146  146  122  128   76   74
60503953001966   65   89   87   96  110  138  145  149  148  100   75   86
60503953001967   70   71   74   94   98  133  146  147  130  107   79   80
60503953001968   81   44   74   89  100  136  143  156  136  136   96   69
60503953001969   66   38   69   87  107  132  150  149  135  136   73   74
60503953001970   67   62   64   82  120  151  142  144  140  119   91   64
60503953001971   77   71   68   86  110  130  153  150  155  133   91   88
60503953001972   59   66   72   90  101  113  149  136  130  117   82   85
60503953001973   78   71   78   87  113  134  142  151  145  117  101   77
60503953001974   80   71   74   97  107  135  143  145  117   93   79   94
60503953001975   80   86   69   88  114  140  157  163  128  122   93   71
60503953001976   80   70   82   92  108  144  160  169  140  102   82   52
60503953001977   54   67   82   85  108  125  155  150  135  125   78   87
60503953001978   57   59   75   84  114  129  139  145  142  127  109   71
60503953001979   49   53   61   78   93  131  147  142  132  115   97   76
60503953001980   62   79   67   92  115  128  140  153  140  104   84   84
60503953001981   84   71   92   96  110  129  142  161  149   91   98   56
60503953001982   72   80   76   96  114  148  160  151  134  111   84   71
60503953001983   85   56   86   71   99  134  172  168  142  113  102   90
60503953001984   61   73   63  103  101  133  158  160  133  113   78   80
60503953001985   48   78   70  100  108  128  146  136  146  120   68   83
60503953001986   66   30   70   66  101  136  146  128  123  118   91   78
60503953001987   58   66   73  103  108  130  153  151  133   96   90   88
60503953001988   70   66   86   98  111  145  136  141  130  113   88   96
60503953001989   88   81   81   71  128  136  170  160  136  123   93   73
60503953001990   81   81   93   88  133  130  161  161  133  121-9999-9999
```

v2:

First off, just a lot more entries…

```6210395300001869   87   93   70  111  108  138  163  155  140  123  101   66
6210395300001870   68   54   76   98  113  143  161  164  148  120   81   49
6210395300001871   62   88   87  104  128  142  147  158  132  119   82   73
6210395300001872   76   85   86   92  104  129  154  153  140   98   83   79
6210395300001873   75   55   69   97  115  139  147  148  128  103   84   94
6210395300001874   79   81   88   99  118  144  156  152  132  113   97   64
6210395300001875   96   63   76  102  119  131  145  160  153  112   82   71
6210395300001876   76   81   66   92  111  130  154  157  133  122   98   83
6210395300001877   81   86   74   92  106  141  142  147  128  121   92   84
6210395300001878   83   88   86  101  118  138  167  162  145  118   66   41
6210395300001879   53   64   74   81  100  127  131  139  125  106   81   69
6210395300001880   68   79   92   92  117  137  149  171  152   84   87   81
6210395300001881   37   66   78   91  123  129  144  139  132  111  112   73
6210395300001882   87   88   91   95  118  129  139  147  122  108   86   65
6210395300001883   79   74   57   87  104  134  135  146  134  112   92   79
6210395300001884   88   78   81   87  117  131  149  149  141  111   78   76
6210395300001885   69   74   68   83   95  129  152  152  131   94   93   71
6210395300001886   55   63   64   90  103  138  150  149  139  114   92   63
6210395300001887   75   74   64   77  111  163  164  156  130   97   72   62
6210395300001888   72   48   53   79  112  138  139  148  130  112   97   83
6210395300001889   75   69   73   81  111  138  146  142  142   98   96   84
6210395300001890   79   63   74   90  112  130  137  140  144  124   86   52
6210395300001891   59   83   61   86   97  144  143  139  136   99   75   83
6210395300001892   56   61   53   89  116  133  147  147  126   79   92   79
6210395300001893   65   67   93  115  137-9999  158  167  134  107   75   74
6210395300001894   58   81   86   99  103  139  143  141  128  108   91   85
6210395300001895   42   27   73   93  117  146  143  147  146   93   84   77
6210395300001896   76   84   86  101  126  150  152  146  137   78   69   65
6210395300001897   47   86   74   84  109  139  160  150  125  122  100   82
6210395300001898   91   75   63   90  107  137  159  160  159  122   93   94
6210395300001899   67   77   77   90  114  152  158  179  141  113  106   75
6210395300001900   73   42   55   98  113  140  160  150  141  109   83   90
6210395300001901   70   46   61   84  123  134  156  150  139  106   77   65
6210395300001902   76   50   81   83  101  136  148  149  138  114   96   78
6210395300001903   69   86   76   82  110  138  150  139  134  106   87   63
6210395300001904   69   62   62   88  109  134  152  142  132  112   88   83
6210395300001905   81   72   73   90  114  146  159  141  124   93   68   88
6210395300001906   77   61   74   80  102  145  148  156  141  112   92   73
6210395300001907   68   61   87   82  107  122  149  146  147  102   83   74
6210395300001908   64   81   67   79  122  137  151  152  131  137  108   88
6210395300001909   77   68   60   94  115  125  143  154  133  112   68   66
6210395300001910   69   68   77   78  112  137  147  148  129  121   75   82
6210395300001911   71   73   71   84  121  141  165  164  137  115   78   79
6210395300001912   72   72   78   99  122  132  143  126  127  106   91   90
6210395300001913   68   69   72   83  105  128  148  155  143  115  100   75
6210395300001914   72   80   78  100  110  138  144  154  145  115   90   63
6210395300001915   67   56   66   95  123  145  145  151  148  117   66   74
6210395300001916   91   58   51   87  108  123  150  168  145  124   87   54
6210395300001917   47   47   64   70  122  134  157  149  137   95   72   62
6210395300001918   66   88   76   88  123  138  149  153  123  103   89   92
6210395300001919   63   65   56   85  125  133  141  157  133  108   52   84
6210395300001920   75   85   74   83  111  136  135  144  136  127  104   72
6210395300001921   92   75   82   94  108  145  176  144  141  138  104  100
6210395300001922   77   79   73   68  119  131  130  136  131  104   89   79
6210395300001923   83   80   81   81   99  127  157  147  127  106   61   82
6210395300001924   79   64   73   82  112  132  141  141  130  117   93   90
6210395300001925   84   68   70   82  104  141  143  149  126  120   68   66
6210395300001926   79   91   83  101  108  131  169  159  146  102   79   68
6210395300001927   73   80   85   88  121  126  149  149  127  123   84   66
6210395300001928   83   87   73   84  118  135  148  147  133  118   95   75
6210395300001929   58   75   90   90  113  133  148  148  150  110   90   76
6210395300001930   66   44   72   85  113  139  142  140  138  118   87   78
6210395300001931   72   73   82   93  113  140  147  150  132  114   97   93
6210395300001932   93   59   75   83  110  147  151  166  137  108   99   84
6210395300001933   62   67   89  102  123  137  166  164  151  119   87   62
6210395300001934   82   65   76   81  111  153  170  147  136  114   87   99
6210395300001935   74   78   86   94  117  134  156  154  140  112   81   63
6210395300001936   64   72   84   84  115  139  149  158  148  126   89   85
6210395300001937   77   79   54  101  119  136  150  159  137  109   84   68
6210395300001938   80   74   97   96  112  137  141  154  139  121  109   70
6210395300001939   66   87   77   95  122  148  144  159  147  100  108   64
6210395300001940   62   81   87   99  126  159  144  159  138  110   92   79
6210395300001941   52   62   73   82  107  145  151  147  150  127   87   94
6210395300001942   74   60   91  104  119  139  149  158  136  107   62   98
6210395300001943   84   89   91  108  117  141  158  149  131  116   95   74
6210395300001944   95   66   80  109  118  139  157  161  131  108   90   81
6210395300001945   48   94   98  109  123  138  156  159  151  136  107   92
6210395300001946   77   86   81   98  119  130  147  141  141  122  101   72
6210395300001947   65   28   68   95  112  140  146  173  147  127   99   80
6210395300001948   78   77  106   95  121  133  148  153  143  121  118   90
6210395300001949   91   91   89  106  114  151  165  163  158  131   97   91
6210395300001950   87   78   98   95  130  149  157  149  133  115   82   52
6210395300001951   63   51   64   83  106  138  154  146  136  118   96   79
6210395300001952   59   71   88   93  122  132  159  154  122  113   81   74
6210395300001953   73   73   76   82  122  133  148  151  142  112   98   96
6210395300001954   67   67   81   97  112  129  136  140  129  126   86   91
6210395300001955   61   41   56  106  104  137  164  178  151  106   95   92
6210395300001956   68   44   93   91  116  130  146  136  142  109   89   86
6210395300001957   73   68  106   96  116  141  154  153  136  117   83   77
6210395300001958   71   79   72   92  107  131  146  152  150  118   99   68
6210395300001959   61   86   86   93  123  141  153  158  152  136   87   77
6210395300001960   68   57   90   96  126  147  144  148  133  104   85   68
6210395300001961   70   92   97  106  115  131  144  145  139  112   84   65
6210395300001962   71   71   58   93  111  128  145  143  129  115   77   70
6210395300001963   26   44   83   88  105  141  144  139  132  122   91   62
6210395300001964   77   75   81   92  126  130  146  149  143  115  100   71
6210395300001965   57   47   84   95  117  133  146  146  122  128   76   74
6210395300001966   65   89   87   96  110  138  145  149  148  100   75   86
6210395300001967   70   71   74   94   98  133  146  147  130  107   79   80
6210395300001968   81   44   74   89  100  136  143  156  136  136   96   69
6210395300001969   66   38   69   87  107  132  150  149  135  136   73   74
6210395300001970   67   62   64   82  120  151  142  144  140  119   91   64
6210395300001971   77   71   68   86  110  130  153  150  155  133   91   88
6210395300001972   59   66   72   90  101  113  149  136  130  117   82   85
6210395300001973   78   71   78   87  113  134  142  151  145  117  101   77
6210395300001974   80   71   74   97  107  135  143  145  117   93   79   94
6210395300001975   80   86   69   88  114  140  157  163  128  122   93   71
6210395300001976   80   70   82   92  108  144  160  169  140  102   82   52
6210395300001977   54   67   82   85  108  125  155  150  135  125   78   87
6210395300001978   57   59   75   84  114  129  139  145  142  127  109   71
6210395300001979   49   53   61   78   93  131  147  142  132  115   97   76
6210395300001980   62   79   67   92  115  128  140  153  140  104   84   84
6210395300001981   84   71   92   96  110  129  142  161  149   91   98   56
6210395300001982   72   80   76   96  114  148  160  151  134  111   84   71
6210395300001983   85   56   86   71   99  134  172  168  142  113  102   90
6210395300001984   61   74   64  103  102  134  159  160  134  113   78   80
6210395300001985   48   79   70  100  109  128  146  137  146  120   69   83
6210395300001986   67   30   70   67  101  137  146  129-9999  119   92   78
6210395300001987   58   67   74  104  108  130  154  152  134   97   90   89
6210395300001988   70   67   86   98  112-9999  136  141  130  114   89   96
6210395300001989   88   80   81   72  129  136  170  160  137  123   94   73
6210395300001990   81   81   93   88  133  130  161  162  133  122   89   71
6210395300001991   63   54   87   91  116  130  157  157  158-9999-9999   85
6210395300011949   86   86   88  100  108  143  162  161  159  128   91   84
6210395300011950   79   71   94   88  126  145  151  144  128  109   76   50
6210395300011951   64   51   65   84  106  138  154  146  135  118   96   80
6210395300011952   60   71   89   93  122  132  159  154  122  113   81   74
6210395300011953   73   73   76   82  122  133  148  151  142  112   98   96
6210395300011954   67   67   81   96  112  129  136  140  130  126   85   91
6210395300011955   61   41   56  106  105  138  164  179  151  107   95   92
6210395300011956   68   11   93   88  116  130  145  137  142  110   89   86
6210395300011957   73   69  107   95  116  141  155  153  135  117   83   78
6210395300011958   71   80   72   92  107  131  146  152  150  119  100   69
6210395300011959   61   86   86   93  123  141  153  159  152  135   88   78
6210395300011960   68   58   90   96  123  142  144  148  133  105   85   69
6210395300011961   70   92   96  107  116  131  145  145  139  112   84   64
6210395300011962   71   71   58   92  110  128  144  143  129  116   78   70
6210395300011963   26   44   83   88  105  141  144  139  132  122   91   62
6210395300011964   77   75   81   92  126  130  146  149  143  115   99   71
6210395300011965   57   47   84   94  117  133  146  146  122  128   75   74
6210395300011966   65   89   86   96  110  138  145  149  148   99   75   86
6210395300011967   69   71   74   94   98  132  146  147  130  107   79   80
6210395300011968   81   44   74   89   99  136  143  156  135  136   96   69
6210395300011969   66   38   68   87  107  132  150  148  135  136   73   74
6210395300011970   67   62   64   82  120  151  142  144  139  119   90   64
6210395300011971   77   71   68   86  110  130  153  150  155  133   90   87
6210395300011972   59   66   68   90  101  113  149  136  129  117   82   85
6210395300011973   78   71   78   87  113  134  142  151  145  117  105   79
6210395300011974   79   70   74   97  107  135  143  144  117   93   79   94
6210395300011975   80   86   69   88  114  140  157  163  128  122   93   71
6210395300011976   80   70   82   92  108  143  159  169  140  101   82   52
6210395300011977   53   67   82   85  108  125  155  150  135  125   78   87
6210395300011978   57   59   75   84  114  129  139  145  142  126  109   71
6210395300011979   49   53   61   78   93  131  147  142  132  115   97   76
6210395300011980   62   79   67   92  115  128  140  153  140  104   84   84
6210395300011981   84   71   92   96  110  129  142  161  149   91   98   56
6210395300011982   72   80   76   96  114  148  160  151  134  111   84   71
6210395300011983   85   56   86   71   99  134  172  168  142  113  102   90
6210395300011984   61   73   64  103  102  134  159  160  134  113   78   80
6210395300011985   48   79   70  100  109  128  146  137  146  120   69   83
6210395300011986   67   30   70   67  101  137  146  129  123  119   92   78
6210395300011987   58   67   74  104  108  130  154  152  134   97   90   89
6210395300011988   70   67   86   98  112  144  136  141  130  114   89   96
6210395300011989   88   80   81   72  129  136  170  160  137  123   94   73
6210395300011990   81   81   93   88  133  130  161  162  133  122   89   71
6210395300021961   69   92   96  105  113  130  143  143  137  112   83   63
6210395300021962   71   70   56   91  109  126  142  142  128  115   78   70
6210395300021963   26   44   81   86  104  141  143  138  130  120   90   61
6210395300021964   76   74   80   91  125  129  145  147  141  115   98   70
6210395300021965   56   48   84   93  116  132  145  145  122  127   74   75
6210395300021966   65   88   86   96  109  137  144  147  147  100   76   87
6210395300021967   69   70   74   92   97  131  145  146  129  107   78   80
6210395300021968   81   44   73   88   99  136  141  155  136  135   97   68
6210395300021969   67   38   68   87  106  131  148  147  134  136   74   73
6210395300021970   69   60   64   82  119  151  141  143  138  119   91   63
6210395300021971   77   69   67   85  108  130  151  149  153  132   92   87
6210395300021972   59   65   72   88  100  112  148  136  129  115   81   85
6210395300021973   78   70   77   87  113  133  142  149  145  116  101   76
6210395300021974   80   70   75   95  107  134  142  144  117   92   80   94
6210395300021975   81   87   68   87  113  139  156  161  127  122   93   71
6210395300021976   79   69   81   91  107  142  158  169  139  101   82   52
6210395300021977   54   67   82   84  106  125  154  148  134  124   77   87
6210395300021978   58   59   76   82  112  129  138  144  141  126  108   71
6210395300021979   50   53   61   78   92  131  146  141  130  114   98   76
6210395300021980   63   78   67   91  114  127  139  152  139  103   83   85
6210395300021981   84   69   92   95  108  128  142  159  148   90   98   55
6210395300021982   72   80   76   95  113  146  159  148  134  110   83   71
6210395300021983   83   56   85   70   98  133  170  166  142  113  101   89
6210395300021984   62   73   63  102  100  134  159  159  132  112   76   80
6210395300021985   48   79   69   99  108  127  145  137  146  119   67   83
6210395300021986   67   30   69   66  101  135  145  127  122  119   92   79
6210395300021987   57   67   71  104  108  130  154  150  134   97   89   88
6210395300021988   69   66   85   97  111  143  136  140  130  113   91   96
6210395300021989   87   80   81   71  129  135  169  160  136  122   92   73
6210395300021990   80   81   93   87  132  129  160  160  132  121   89   69
6210395300031961   74   94   97  105  117  132  144  147  139  112   86   68
6210395300031962   74   73   59   94  111  130  144  143  129  117   82   73
6210395300031963   26   43   84   88  106  141  143  137  131  124   94   64
6210395300031964   79   74   82   91  126  130  146  148  143  117  103   74
6210395300031965   59   49   85   95  116  133  145  145  123  128   79   79
6210395300031966   67   90   87   95  110  136  145  147  147  102   78   90
6210395300031967   73   72   78   94   98  134  146  146  131  109   82   84
6210395300031968   85   47   76   87  101  137  145  158  138  136   99   74
6210395300031969   71   40   69   89  107  134  149  149  139  139   77   79
6210395300031970   73   64   69   84  119  153  142  145  141  123   95   66
6210395300031971   80   74   71   87  110  130  154  151  155  136   96   90
6210395300031972   65   68   73   92  101  113  149  139  132  120   86   90
6210395300031973   82   76   80   88  114  135  144  152  147  119  106   84
6210395300031974   84   74   76   96  109  135  143  146  120   97   83  100
6210395300031975   85   87   71   91  115  142  159  162  132  123   98   74
6210395300031976   84   74   84   94  109  143  158  170  141  105   86   56
6210395300031977   59   71   86   88  110  127  154  151  136  128   83   90
6210395300031978   64   62   79   84  113  129  140  146  145  128  112   76
6210395300031979   52   56   63   79   94  130  148  143  134  119  103   79
6210395300031980   65   81   67   92  115  128  139  151  141  106   87   88
6210395300031981   86   73   93   95  109  129  143  160  147   94  102   58
6210395300031982   76   82   79   98  114  146  160  152  135  113   88   77
6210395300031983   88   58   87   70   99  133  170  168  142  116  103   94
6210395300031984   66   77   65  105  104  133  160  162  137  118   77   84
6210395300031985   50   79   72   98  108  128  145  136  146  119   72   87
6210395300031986   71   29   71   68  100  135  144  128  123  120   95   82
6210395300031987   61   69   74  103  108  128  153  153  134   99   91   90
6210395300031988   72   67   87   97  112  145  135  141  130  114   91   99
6210395300031989   92   82   84   74  128  137  170  160  137  124   95   74
6210395300031990   85   83   95   89  132  130  160  160  133  123   90   72
6210395300041961   70   92   97  106  115  131  144  145  139  112   84   65
6210395300041962   71   71   58   93  111  128  145  143  129  115   77   70
6210395300041963   26   44   83   88  105  141  144  139  132  122   91   62
6210395300041964   77   75   81   92  126  130  146  149  143  115  100   71
6210395300041965   57   47   84   95  117  133  146  146  122  128   76   74
6210395300041966   65   89   87   96  110  138  145  149  148  100   75   86
6210395300041967   70   71   74   94   98  133  146  147  130  107   79   80
6210395300041968   81   44   74   89  100  136  143  156  136  136   96   69
6210395300041969   66   38   69   87  107  132  150  149  135  136   73   74
6210395300041970   67   62   64   82  120  151  142  144  140  119   91   64
6210395300041971   76   71   68   86  110  130  153  150  155  133   90   87
6210395300041972   59   66   71   90  101  113  149  136  129  117   82   85
6210395300041973   77   71   78   87  113  134  142  151  145  117  101   77
6210395300041974   80   70   74   96  107  135  143  144  117   93   79   94
6210395300041975   80   86   69   88  114  140  156  163  127  122   92   71
6210395300041976   80   70   82   92  107  143  159  169  140  101   82   52
6210395300041977   53   67   82   85  108  125  155  150  135  124   77   87
6210395300041978   57   59   76   83  114  128  139  145  142  127  108   71
6210395300041979   49   53   61   78   93  131  146  142  132  115   97   76
6210395300041980   62   79   66   92  114  128  140  153  140  104   83   84
6210395300051987   58   67   74  104  108  130  154  152  134   97   90   89
6210395300051988   70   67   86   98  112-9999  136  141  130  114   89   96
6210395300051989   88   80   81   72  129  136  170  160  137  123   94   73
6210395300051990   81   81   93   88  133  130  161  162  133  122   89   71
6210395300051991   63   54   87   91  116  130  157  157-9999-9999-9999-9999
6210395300051992   74   81-9999   92  131  142-9999  142  119   94   94   73
6210395300051993   81   84   80  101  113  135  146  145  134   92   92-9999
6210395300051994-9999   74   89   85  117-9999  145  147  131  120  113   91
6210395300051995   74   82   74   96  112  143  170  180  134  131   99   70
6210395300051996   74   59   73   92   96  136  151  148  147  122   84   64
6210395300051997   60   80   92  109  126  138  156  164  151  130   98   83
6210395300051998   74   92   94   83  125  132  146  154  148  125   96   88
6210395300051999   77   85   79  100  126  128  159  158  143  118   93   75
6210395300052000   66   84   83   80  120  138  155-9999  140  107   83   75
6210395300052001   60   67   76   85  119  135  151  149  140  130  102   75
6210395300052002   92   81   85   95  112  125  140  146  143  113  102   83
6210395300052003   70   78   93  109  113  138  151  166  143  112   99   83
6210395300052004   77   72   86   96-9999-9999  146  156  149  101  103   94
6210395300052005   84   68   91   97  113  145  157  157  148  127   95   85
6210395300052006   80   72   74   92  110  142  166  154-9999  135   96   92
6210395300052007   86   79   83  109  118  143  151  152  140  134  109   96
6210395300052008   87   83   79   91  135  136  153  154  134  109   94   80
6210395300052009   73   71   88  100  116  150  152  149  136  131   95-9999
```

Now I’m going to ‘eyeball them’ and see if anything looks “odd” between the two sets. In theory, the same year lines ought to be identical, modulo any ‘reasonable’ adjustments made…

12. E.M.Smith says:

Hmmm…. 1967 and 1974 have a few months with a 1/10 cooling in v2 vs v1. Maybe others, those are just the ones I saw on a quick spot check. SO the data ARE different. Guess I’ll need to do some kind of ‘significance’ test…

we also have a ‘zero’ flags for the v1, while v2 has a series of ‘modification flags’ from 0 to 5 (that last digit of the modifier on WMO number). So some difference in how each of those was processed or what instrument was used (so how the splice was managed…)

Looking just at 1974, January, we have for the different Mod Flags:

8.0
7.9
8.0
8.4
8.0

Then the 5th flag starts in 1987 so doesn’t have that year. Average is 8.06 so a modest warming of that data item if just averaged. If some other method of spice is used, a different degree of warming would result.

Odd.

OK, looks like the data ARE different. We have a ‘modification flag’ issue (much like I’d noted before on v2 in general, but now as a ‘disconnect’ with v1. Mark your “dig here!” list for a check on what happens in v3… ).

Looks like more than just an ‘eyeball it’ is needed and for more thermometers. Guess I’m off to port dT/dt to the v1 data file type. And get a copy of v3 where I can run the same tools on it.

13. “WMO minor number is a different length”

This may cause confusion. I’m assuming that by WMO minor number you mean the three digits which have been added following the five digit WMO ID, where 000 indicates a WMO station, and values greater than 000 indicate non-WMO stations “nearby” (so in fact it originates presumably with GHCN, and not WMO), with I understand increasing values roughly indicating stations more distant from the WMO station from which their ID is derived. In the v2.mean data file (although not in the inventory file v2.inv) one extra digit followed before the year to distinguish multiple time series records for the same station. In GHCN v3 this extra digit is not required (and does not appear) since these multiple time series for the same station are first combined, as described in the GHCN v3 documentation, and the unadjusted data file is made up of these combined records – the QCU files are not strictly “raw” data.

“An example is Valentia in Ireland which is located on an island in the extreme southwest of Ireland, right on the coast of County Kerry facing the North Atlantic”

The station was once located on the island, but was moved to the mainland in 1892. Here is a link for the Valentia Observatory

Caution may be needed when examining the GHCN v3 data for Ireland, and it would probably be best to avoid the February 17 2012 adjusted file. This file version has a substantial change for the early years of one station, Claremorris, which has data from 1950 to 1990.
This change does not appear in other GHCN v3 adjusted data files before and after which I have examined, but was sufficient to show a noticeable change in the Gistemp adjusted record for Dublin Airport (there was also one other station with a similar short but substantial change in that GHCN file, Braemar in Scotland, used to adjust Dublin Airport by Gistemp). The GHCN adjusted record for Dublin Airport in that GHCN file used as input to Gistemp was very similar to that in earlier and later versions – the change in the Gistemp adjusted record seems to have been caused by the changes in these two rural adjusting stations.

14. E.M.Smith says:

Comparing the straight average of data reports for those two sets of data shows a tiny bit of “jitter” in the 1/10 C place in a few years (the next to right most column… note that the “count” will be 1 even when there were multiple modification flags as they are the same instrument location, just a different process flag).

The more interesting thing is the “added data”. That “mod flag 5” data has significantly warmer winter months. (Compare the ‘average of all data’ in the last two lines with the month average from those years. Summer is not that much different, so Aug is ‘about 15.tiny’ and the entries above it are 14.6 – 15.4 with the odd 16.x (1870’s about the same). Now look at Nov / Dec. About 8.8 and 7.7, Above them are many 9.x to 10.x and then 8.x-9.x while back in the 1870’s we’re getting 6.x and 7.x entries in some years. Similarly JAN in the mid 60’s has some 2.6 and 5.7; while the recent values are steady 6 to 9.x ranges with a 7.1 average of all data.

Something is “peak clipping” the lows of winter in that recent data.

When I looked into it last, that was about the time a new “QA” process was implemented. Daily data that was a fixed amount “to far” from the expect was tossed out and replaced with an average form some collection of ‘nearby’ ASOS stations. As cold excursions are a greater percentage range than warm excursions, using a fixed window size will guarantee more cold entries tossed out than warm entries. Using an average to replace it will prevent valid low extremes from ever being recorded (as an average will much more rarely have ALL stations at a record low) and using ASOS stations at airports guarantees a nice Airport Heat Island warming. IMHO that’s a major issue.

A simple cross check would be to go back to that station directly and inspect it for local heat island issues, and take the raw daily data and re-calculate the averages. Were those dates really that warm? Finally, look at nearby stations and see if THEY are showing colder numbers.

With all that said, it could well be possible that in our relatively extreme recent solar maximum there was some ‘peak clipping’ of very cold going days just by nature. Not “Global Warming” so much as “Global Not Freezing My Ass Off”… As Dennis Miller noted, “We kind of like it”…

Frankly, if all that’s happening is that the very worst frozen days of winter are a little less brutal, I’m all for it.

I’ve seen that same pattern in the v2 data from any other places. A look at the Dt/dt category on the right will show “trend by month” for many places. It’s a bit of “all over the place” with some months warming a tiny while others are cooling, in the same place. But as I remember it, the general trend was that the largest “warming” was in coldest winter months. Summers were either mostly static or sometimes cooling a little. IMHO this matters.

It either points out that the “problem” is really a “feature”; or it points to the new “QA” process as introducing an error term

OK, with that said, looks like v3 and dT/dt are the next steps. Inspection of individual stations is showing the same thing seen in the v2 analysis. I may well pick a couple of other stations to do a compare and contrast, but don’t expect to find much. Unless they are really interesting, I’ll not put up a posting on it. (i.e. a couple of 1/10 jitter and a ‘most recent Mod Flag warm winters’ is not news any more…

With that, here are the reports / averages:

v1:

```Thermometer Records, Average of Monthly Data and Yearly Average
by Year Across Month, with a count of thermometer records in that year
--------------------------------------------------------------------------
YEAR  JAN  FEB  MAR  APR  MAY  JUN JULY  AUG SEPT  OCT  NOV  DEC  YR COUNT
--------------------------------------------------------------------------
1869  8.7  9.3  7.0 11.1 10.8 13.8 16.3 15.5 14.0 12.3 10.1  6.6 11.3    1
1870  6.8  5.4  7.6  9.8 11.3 14.3 16.1 16.4 14.8 12.0  8.1  4.9 10.6    1
1871  6.2  8.8  8.7 10.4 12.8 14.2 14.7 15.8 13.2 11.9  8.2  7.3 11.0    1
1872  7.6  8.5  8.6  9.2 10.4 12.9 15.4 15.3 14.0  9.8  8.3  7.9 10.7    1
1873  7.5  5.5  6.9  9.7 11.5 13.9 14.7 14.8 12.8 10.3  8.4  9.4 10.5    1
1874  7.9  8.1  8.8  9.9 11.8 14.4 15.6 15.2 13.2 11.3  9.7  6.4 11.0    1
1875  9.6  6.3  7.6 10.2 11.9 13.1 14.5 16.0 15.3 11.2  8.2  7.1 10.9    1
1876  7.6  8.1  6.6  9.2 11.1 13.0 15.4 15.7 13.3 12.2  9.8  8.3 10.9    1
1877  8.1  8.6  7.4  9.2 10.6 14.1 14.2 14.7 12.8 12.1  9.2  8.4 10.8    1
1878  8.3  8.8  8.6 10.1 11.8 13.8 16.7 16.2 14.5 11.8  6.6  4.1 10.9    1
1879  5.3  6.4  7.4  8.1 10.0 12.7 13.1 13.9 12.5 10.6  8.1  6.9  9.6    1
1880  6.8  7.9  9.2  9.2 11.7 13.7 14.9 17.1 15.2  8.4  8.7  8.1 10.9    1
1881  3.7  6.6  7.8  9.1 12.3 12.9 14.4 13.9 13.2 11.1 11.2  7.3 10.3    1
1882  8.7  8.8  9.1  9.5 11.8 12.9 13.9 14.7 12.2 10.8  8.6  6.5 10.6    1
1883  7.9  7.4  5.7  8.7 10.4 13.4 13.5 14.6 13.4 11.2  9.2  7.9 10.3    1
1884  8.8  7.8  8.1  8.7 11.7 13.1 14.9 14.9 14.1 11.1  7.8  7.6 10.7    1
1885  6.9  7.4  6.8  8.3  9.5 12.9 15.2 15.2 13.1  9.4  9.3  7.1 10.1    1
1886  5.5  6.3  6.4  9.0 10.3 13.8 15.0 14.9 13.9 11.4  9.2  6.3 10.2    1
1887  7.5  7.4  6.4  7.7 11.1 16.3 16.4 15.6 13.0  9.7  7.2  6.2 10.4    1
1888  7.2  4.8  5.3  7.9 11.2 13.8 13.9 14.8 13.0 11.2  9.7  8.3 10.1    1
1889  7.5  6.9  7.3  8.1 11.1 13.8 14.6 14.2 14.2  9.8  9.6  8.4 10.5    1
1890  7.9  6.3  7.4  9.0 11.2 13.0 13.7 14.0 14.4 12.4  8.6  5.2 10.3    1
1891  5.9  8.3  6.1  8.6  9.7 14.4 14.3 13.9 13.6  9.9  7.5  8.3 10.0    1
1892  5.6  6.1  5.3  8.9 11.6 13.3 14.7 14.7 12.6  7.9  9.2  7.9  9.8    1
1893  6.5  6.7  9.3 11.5 13.7 15.8 15.8 16.7 13.4 10.7  7.5  7.4 11.2    1
1894  5.8  8.1  8.6  9.9 10.3 13.9 14.3 14.1 12.8 10.8  9.1  8.5 10.5    1
1895  4.2  2.7  7.3  9.3 11.7 14.6 14.3 14.7 14.6  9.3  8.4  7.7  9.9    1
1896  7.6  8.4  8.6 10.1 12.6 15.0 15.2 14.6 13.7  7.8  6.9  6.5 10.6    1
1897  4.7  8.6  7.4  8.4 10.9 13.9 16.0 15.0 12.5 12.2 10.0  8.2 10.6    1
1898  9.1  7.5  6.3  9.0 10.7 13.7 15.9 16.0 15.9 12.2  9.3  9.4 11.2    1
1899  6.7  7.7  7.7  9.0 11.4 15.2 15.8 17.9 14.1 11.3 10.6  7.5 11.2    1
1900  7.3  4.2  5.5  9.8 11.3 14.0 16.0 15.0 14.1 10.9  8.3  9.0 10.4    1
1901  7.0  4.6  6.1  8.4 12.3 13.4 15.6 15.0 13.9 10.6  7.7  6.5 10.1    1
1902  7.6  5.0  8.1  8.3 10.1 13.6 14.8 14.9 13.8 11.4  9.6  7.8 10.4    1
1903  6.9  8.6  7.6  8.2 11.0 13.8 15.0 13.9 13.4 10.6  8.7  6.3 10.3    1
1904  6.9  6.2  6.2  8.8 10.9 13.4 15.2 14.2 13.2 11.2  8.8  8.3 10.3    1
1905  8.1  7.2  7.3  9.0 11.4 14.6 15.9 14.1 12.4  9.3  6.8  8.8 10.4    1
1906  7.7  6.1  7.4  8.0 10.2 14.5 14.8 15.6 14.1 11.2  9.2  7.3 10.5    1
1907  6.8  6.1  8.7  8.2 10.7 12.2 14.9 14.6 14.7 10.2  8.3  7.4 10.2    1
1908  6.4  8.1  6.7  7.9 12.2 13.7 15.1 15.2 13.1 13.7 10.8  8.8 11.0    1
1909  7.7  6.8  6.0  9.4 11.5 12.5 14.3 15.4 13.3 11.2  6.8  6.6 10.1    1
1910  6.9  6.8  7.7  7.8 11.2 13.7 14.7 14.8 12.9 12.1  7.5  8.2 10.4    1
1911  7.1  7.3  7.1  8.4 12.1 14.1 16.5 16.4 13.7 11.5  7.8  7.9 10.8    1
1912  7.2  7.2  7.8  9.9 12.2 13.2 14.3 12.6 12.7 10.6  9.1  9.0 10.5    1
1913  6.8  6.9  7.2  8.3 10.5 12.8 14.8 15.5 14.3 11.5 10.0  7.5 10.5    1
1914  7.2  8.0  7.8 10.0 11.0 13.8 14.4 15.4 14.5 11.5  9.0  6.3 10.7    1
1915  6.7  5.6  6.6  9.5 12.3 14.5 14.5 15.1 14.8 11.7  6.6  7.4 10.4    1
1916  9.1  5.8  5.1  8.7 10.8 12.3 15.0 16.8 14.5 12.4  8.7  5.4 10.4    1
1917  4.7  4.7  6.4  7.0 12.2 13.4 15.7 14.9 13.7  9.5  7.2  6.2  9.6    1
1918  6.6  8.8  7.6  8.8 12.3 13.8 14.9 15.3 12.3 10.3  8.9  9.2 10.7    1
1919  6.3  6.5  5.6  8.5 12.5 13.3 14.1 15.7 13.3 10.8  5.2  8.4 10.0    1
1920  7.5  8.5  7.4  8.3 11.1 13.6 13.5 14.4 13.6 12.7 10.4  7.2 10.7    1
1921  9.2  7.5  8.2  9.4 10.8 14.5 17.6 14.4 14.1 13.8 10.4 10.0 11.7    1
1922  7.7  7.9  7.3  6.8 11.9 13.1 13.0 13.6 13.1 10.4  8.9  7.9 10.1    1
1923  8.3  8.0  8.1  8.1  9.9 12.7 15.7 14.7 12.7 10.6  6.1  8.2 10.3    1
1924  7.9  6.4  7.3  8.2 11.2 13.2 14.1 14.1 13.0 11.7  9.3  9.0 10.4    1
1925  8.4  6.8  7.0  8.2 10.4 14.1 14.3 14.9 12.6 12.0  6.8  6.6 10.2    1
1926  7.9  9.1  8.3 10.1 10.8 13.1 16.9 15.9 14.6 10.2  7.9  6.8 11.0    1
1927  7.3  8.0  8.5  8.8 12.1 12.6 14.9 14.9 12.7 12.3  8.4  6.6 10.6    1
1928  8.3  8.7  7.3  8.4 11.8 13.5 14.8 14.7 13.3 11.8  9.5  7.5 10.8    1
1929  5.8  7.5  9.0  9.0 11.3 13.3 14.8 14.8 15.0 11.0  9.0  7.6 10.7    1
1930  6.6  4.4  7.2  8.5 11.3 13.9 14.2 14.0 13.8 11.8  8.7  7.8 10.2    1
1931  7.2  7.3  8.2  9.3 11.3 14.0 14.7 15.0 13.2 11.4  9.7  9.3 10.9    1
1932  9.3  5.9  7.5  8.3 11.0 14.7 15.1 16.6 13.7 10.8  9.9  8.4 10.9    1
1933  6.2  6.7  8.9 10.2 12.3 13.7 16.6 16.4 15.1 11.9  8.7  6.2 11.1    1
1934  8.2  6.5  7.6  8.1 11.1 15.3 17.0 14.7 13.6 11.4  8.7  9.9 11.0    1
1935  7.4  7.8  8.6  9.4 11.7 13.4 15.6 15.4 14.0 11.2  8.1  6.3 10.7    1
1936  6.4  7.2  8.4  8.4 11.5 13.9 14.9 15.8 14.8 12.6  8.9  8.5 10.9    1
1937  7.7  7.9  5.4 10.1 11.9 13.6 15.0 15.9 13.7 10.9  8.4  6.8 10.6    1
1938  8.0  7.4  9.7  9.6 11.2 13.7 14.1 15.4 13.9 12.1 10.9  7.0 11.1    1
1939  6.6  8.7  7.7  9.5 12.2 14.8 14.4 15.9 14.7 10.0 10.8  6.4 11.0    1
1940  6.2  8.1  8.7  9.9 12.6 15.9 14.4 15.9 13.8 11.0  9.2  7.9 11.1    1
1941  5.2  6.2  7.3  8.2 10.7 14.5 15.1 14.7 15.0 12.7  8.7  9.4 10.6    1
1942  7.4  6.0  9.1 10.4 11.9 13.9 14.9 15.8 13.6 10.7  6.2  9.8 10.8    1
1943  8.4  8.9  9.1 10.8 11.7 14.1 15.8 14.9 13.1 11.6  9.5  7.4 11.3    1
1944  9.5  6.6  8.0 10.9 11.8 13.9 15.7 16.1 13.1 10.8  9.0  8.1 11.1    1
1945  4.8  9.4  9.8 10.9 12.3 13.8 15.6 15.9 15.1 13.6 10.7  9.2 11.8    1
1946  7.7  8.6  8.1  9.8 11.9 13.0 14.7 14.1 14.1 12.2 10.1  7.2 11.0    1
1947  6.5  2.8  6.8  9.5 11.2 14.0 14.6 17.3 14.7 12.7  9.9  8.0 10.7    1
1948  7.8  7.7 10.6  9.5 12.1 13.3 14.8 15.3 14.3 12.1 11.8  9.0 11.5    1
1949  9.1  9.1  8.9 10.6 11.4 15.1 16.5 16.3 15.8 13.1  9.7  9.1 12.1    1
1950  8.7  7.8  9.8  9.5 13.0 14.9 15.7 14.9 13.3 11.5  8.2  5.2 11.0    1
1951  6.3  5.1  6.4  8.3 10.6 13.8 15.4 14.6 13.6 11.8  9.6  7.9 10.3    1
1952  5.9  7.1  8.8  9.3 12.2 13.2 15.9 15.4 12.2 11.3  8.1  7.4 10.6    1
1953  7.3  7.3  7.6  8.2 12.2 13.3 14.8 15.1 14.2 11.2  9.8  9.6 10.9    1
1954  6.7  6.7  8.1  9.7 11.2 12.9 13.6 14.0 12.9 12.6  8.6  9.1 10.5    1
1955  6.1  4.1  5.6 10.6 10.4 13.7 16.4 17.8 15.1 10.6  9.5  9.2 10.8    1
1956  6.8  4.4  9.3  9.1 11.6 13.0 14.6 13.6 14.2 10.9  8.9  8.6 10.4    1
1957  7.3  6.8 10.6  9.6 11.6 14.1 15.4 15.3 13.6 11.7  8.3  7.7 11.0    1
1958  7.1  7.9  7.2  9.2 10.7 13.1 14.6 15.2 15.0 11.8  9.9  6.8 10.7    1
1959  6.1  8.6  8.6  9.3 12.3 14.1 15.3 15.8 15.2 13.6  8.7  7.7 11.3    1
1960  6.8  5.7  9.0  9.6 12.6 14.7 14.4 14.8 13.3 10.4  8.5  6.8 10.6    1
1961  7.0  9.2  9.7 10.6 11.5 13.1 14.4 14.5 13.9 11.2  8.4  6.5 10.8    1
1962  7.1  7.1  5.8  9.3 11.1 12.8 14.5 14.3 12.9 11.5  7.7  7.0 10.1    1
1963  2.6  4.4  8.3  8.8 10.5 14.1 14.4 13.9 13.2 12.2  9.1  6.2  9.8    1
1964  7.7  7.5  8.1  9.2 12.6 13.0 14.6 14.9 14.3 11.5 10.0  7.1 10.9    1
1965  5.7  4.7  8.4  9.5 11.7 13.3 14.6 14.6 12.2 12.8  7.6  7.4 10.2    1
1966  6.5  8.9  8.7  9.6 11.0 13.8 14.5 14.9 14.8 10.0  7.5  8.6 10.7    1
1967  7.0  7.1  7.4  9.4  9.8 13.3 14.6 14.7 13.0 10.7  7.9  8.0 10.2    1
1968  8.1  4.4  7.4  8.9 10.0 13.6 14.3 15.6 13.6 13.6  9.6  6.9 10.5    1
1969  6.6  3.8  6.9  8.7 10.7 13.2 15.0 14.9 13.5 13.6  7.3  7.4 10.1    1
1970  6.7  6.2  6.4  8.2 12.0 15.1 14.2 14.4 14.0 11.9  9.1  6.4 10.4    1
1971  7.7  7.1  6.8  8.6 11.0 13.0 15.3 15.0 15.5 13.3  9.1  8.8 10.9    1
1972  5.9  6.6  7.2  9.0 10.1 11.3 14.9 13.6 13.0 11.7  8.2  8.5 10.0    1
1973  7.8  7.1  7.8  8.7 11.3 13.4 14.2 15.1 14.5 11.7 10.1  7.7 10.8    1
1974  8.0  7.1  7.4  9.7 10.7 13.5 14.3 14.5 11.7  9.3  7.9  9.4 10.3    1
1975  8.0  8.6  6.9  8.8 11.4 14.0 15.7 16.3 12.8 12.2  9.3  7.1 10.9    1
1976  8.0  7.0  8.2  9.2 10.8 14.4 16.0 16.9 14.0 10.2  8.2  5.2 10.7    1
1977  5.4  6.7  8.2  8.5 10.8 12.5 15.5 15.0 13.5 12.5  7.8  8.7 10.4    1
1978  5.7  5.9  7.5  8.4 11.4 12.9 13.9 14.5 14.2 12.7 10.9  7.1 10.4    1
1979  4.9  5.3  6.1  7.8  9.3 13.1 14.7 14.2 13.2 11.5  9.7  7.6  9.8    1
1980  6.2  7.9  6.7  9.2 11.5 12.8 14.0 15.3 14.0 10.4  8.4  8.4 10.4    1
1981  8.4  7.1  9.2  9.6 11.0 12.9 14.2 16.1 14.9  9.1  9.8  5.6 10.7    1
1982  7.2  8.0  7.6  9.6 11.4 14.8 16.0 15.1 13.4 11.1  8.4  7.1 10.8    1
1983  8.5  5.6  8.6  7.1  9.9 13.4 17.2 16.8 14.2 11.3 10.2  9.0 11.0    1
1984  6.1  7.3  6.3 10.3 10.1 13.3 15.8 16.0 13.3 11.3  7.8  8.0 10.5    1
1985  4.8  7.8  7.0 10.0 10.8 12.8 14.6 13.6 14.6 12.0  6.8  8.3 10.3    1
1986  6.6  3.0  7.0  6.6 10.1 13.6 14.6 12.8 12.3 11.8  9.1  7.8  9.6    1
1987  5.8  6.6  7.3 10.3 10.8 13.0 15.3 15.1 13.3  9.6  9.0  8.8 10.4    1
1988  7.0  6.6  8.6  9.8 11.1 14.5 13.6 14.1 13.0 11.3  8.8  9.6 10.7    1
1989  8.8  8.1  8.1  7.1 12.8 13.6 17.0 16.0 13.6 12.3  9.3  7.3 11.2    1
1990  8.1  8.1  9.3  8.8 13.3 13.0 16.1 16.1 13.3 12.1-99.0-99.0 11.8    1
AA    7.0  6.9  7.6  9.0 11.3 13.6 15.0 15.1 13.7 11.3  8.7  7.6 10.6
Ad    7.1  7.0  7.7  9.1 11.3 13.7 15.0 15.1 13.7 11.3  8.8  7.7 10.6

For Country Code 60503953

From input file ./data/v1.mean
```

Just scanning down that next to last column of “year average” shows not much happening. In contrast, we get a nice grafted on ‘hockey blade’ with the arrival of the Mod Flag 5 data in the v2 data set. it goes to a lot of 11.x year averages and holds it.

v2:

```Thermometer Records, Average of Monthly Data and Yearly Average
by Year Across Month, with a count of thermometer records in that year
--------------------------------------------------------------------------
YEAR  JAN  FEB  MAR  APR  MAY  JUN JULY  AUG SEPT  OCT  NOV  DEC  YR COUNT
--------------------------------------------------------------------------
1869  8.7  9.3  7.0 11.1 10.8 13.8 16.3 15.5 14.0 12.3 10.1  6.6 11.3    1
1870  6.8  5.4  7.6  9.8 11.3 14.3 16.1 16.4 14.8 12.0  8.1  4.9 10.6    1
1871  6.2  8.8  8.7 10.4 12.8 14.2 14.7 15.8 13.2 11.9  8.2  7.3 11.0    1
1872  7.6  8.5  8.6  9.2 10.4 12.9 15.4 15.3 14.0  9.8  8.3  7.9 10.7    1
1873  7.5  5.5  6.9  9.7 11.5 13.9 14.7 14.8 12.8 10.3  8.4  9.4 10.5    1
1874  7.9  8.1  8.8  9.9 11.8 14.4 15.6 15.2 13.2 11.3  9.7  6.4 11.0    1
1875  9.6  6.3  7.6 10.2 11.9 13.1 14.5 16.0 15.3 11.2  8.2  7.1 10.9    1
1876  7.6  8.1  6.6  9.2 11.1 13.0 15.4 15.7 13.3 12.2  9.8  8.3 10.9    1
1877  8.1  8.6  7.4  9.2 10.6 14.1 14.2 14.7 12.8 12.1  9.2  8.4 10.8    1
1878  8.3  8.8  8.6 10.1 11.8 13.8 16.7 16.2 14.5 11.8  6.6  4.1 10.9    1
1879  5.3  6.4  7.4  8.1 10.0 12.7 13.1 13.9 12.5 10.6  8.1  6.9  9.6    1
1880  6.8  7.9  9.2  9.2 11.7 13.7 14.9 17.1 15.2  8.4  8.7  8.1 10.9    1
1881  3.7  6.6  7.8  9.1 12.3 12.9 14.4 13.9 13.2 11.1 11.2  7.3 10.3    1
1882  8.7  8.8  9.1  9.5 11.8 12.9 13.9 14.7 12.2 10.8  8.6  6.5 10.6    1
1883  7.9  7.4  5.7  8.7 10.4 13.4 13.5 14.6 13.4 11.2  9.2  7.9 10.3    1
1884  8.8  7.8  8.1  8.7 11.7 13.1 14.9 14.9 14.1 11.1  7.8  7.6 10.7    1
1885  6.9  7.4  6.8  8.3  9.5 12.9 15.2 15.2 13.1  9.4  9.3  7.1 10.1    1
1886  5.5  6.3  6.4  9.0 10.3 13.8 15.0 14.9 13.9 11.4  9.2  6.3 10.2    1
1887  7.5  7.4  6.4  7.7 11.1 16.3 16.4 15.6 13.0  9.7  7.2  6.2 10.4    1
1888  7.2  4.8  5.3  7.9 11.2 13.8 13.9 14.8 13.0 11.2  9.7  8.3 10.1    1
1889  7.5  6.9  7.3  8.1 11.1 13.8 14.6 14.2 14.2  9.8  9.6  8.4 10.5    1
1890  7.9  6.3  7.4  9.0 11.2 13.0 13.7 14.0 14.4 12.4  8.6  5.2 10.3    1
1891  5.9  8.3  6.1  8.6  9.7 14.4 14.3 13.9 13.6  9.9  7.5  8.3 10.0    1
1892  5.6  6.1  5.3  8.9 11.6 13.3 14.7 14.7 12.6  7.9  9.2  7.9  9.8    1
1893  6.5  6.7  9.3 11.5 13.7-99.0 15.8 16.7 13.4 10.7  7.5  7.4 10.8    1
1894  5.8  8.1  8.6  9.9 10.3 13.9 14.3 14.1 12.8 10.8  9.1  8.5 10.5    1
1895  4.2  2.7  7.3  9.3 11.7 14.6 14.3 14.7 14.6  9.3  8.4  7.7  9.9    1
1896  7.6  8.4  8.6 10.1 12.6 15.0 15.2 14.6 13.7  7.8  6.9  6.5 10.6    1
1897  4.7  8.6  7.4  8.4 10.9 13.9 16.0 15.0 12.5 12.2 10.0  8.2 10.6    1
1898  9.1  7.5  6.3  9.0 10.7 13.7 15.9 16.0 15.9 12.2  9.3  9.4 11.2    1
1899  6.7  7.7  7.7  9.0 11.4 15.2 15.8 17.9 14.1 11.3 10.6  7.5 11.2    1
1900  7.3  4.2  5.5  9.8 11.3 14.0 16.0 15.0 14.1 10.9  8.3  9.0 10.4    1
1901  7.0  4.6  6.1  8.4 12.3 13.4 15.6 15.0 13.9 10.6  7.7  6.5 10.1    1
1902  7.6  5.0  8.1  8.3 10.1 13.6 14.8 14.9 13.8 11.4  9.6  7.8 10.4    1
1903  6.9  8.6  7.6  8.2 11.0 13.8 15.0 13.9 13.4 10.6  8.7  6.3 10.3    1
1904  6.9  6.2  6.2  8.8 10.9 13.4 15.2 14.2 13.2 11.2  8.8  8.3 10.3    1
1905  8.1  7.2  7.3  9.0 11.4 14.6 15.9 14.1 12.4  9.3  6.8  8.8 10.4    1
1906  7.7  6.1  7.4  8.0 10.2 14.5 14.8 15.6 14.1 11.2  9.2  7.3 10.5    1
1907  6.8  6.1  8.7  8.2 10.7 12.2 14.9 14.6 14.7 10.2  8.3  7.4 10.2    1
1908  6.4  8.1  6.7  7.9 12.2 13.7 15.1 15.2 13.1 13.7 10.8  8.8 11.0    1
1909  7.7  6.8  6.0  9.4 11.5 12.5 14.3 15.4 13.3 11.2  6.8  6.6 10.1    1
1910  6.9  6.8  7.7  7.8 11.2 13.7 14.7 14.8 12.9 12.1  7.5  8.2 10.4    1
1911  7.1  7.3  7.1  8.4 12.1 14.1 16.5 16.4 13.7 11.5  7.8  7.9 10.8    1
1912  7.2  7.2  7.8  9.9 12.2 13.2 14.3 12.6 12.7 10.6  9.1  9.0 10.5    1
1913  6.8  6.9  7.2  8.3 10.5 12.8 14.8 15.5 14.3 11.5 10.0  7.5 10.5    1
1914  7.2  8.0  7.8 10.0 11.0 13.8 14.4 15.4 14.5 11.5  9.0  6.3 10.7    1
1915  6.7  5.6  6.6  9.5 12.3 14.5 14.5 15.1 14.8 11.7  6.6  7.4 10.4    1
1916  9.1  5.8  5.1  8.7 10.8 12.3 15.0 16.8 14.5 12.4  8.7  5.4 10.4    1
1917  4.7  4.7  6.4  7.0 12.2 13.4 15.7 14.9 13.7  9.5  7.2  6.2  9.6    1
1918  6.6  8.8  7.6  8.8 12.3 13.8 14.9 15.3 12.3 10.3  8.9  9.2 10.7    1
1919  6.3  6.5  5.6  8.5 12.5 13.3 14.1 15.7 13.3 10.8  5.2  8.4 10.0    1
1920  7.5  8.5  7.4  8.3 11.1 13.6 13.5 14.4 13.6 12.7 10.4  7.2 10.7    1
1921  9.2  7.5  8.2  9.4 10.8 14.5 17.6 14.4 14.1 13.8 10.4 10.0 11.7    1
1922  7.7  7.9  7.3  6.8 11.9 13.1 13.0 13.6 13.1 10.4  8.9  7.9 10.1    1
1923  8.3  8.0  8.1  8.1  9.9 12.7 15.7 14.7 12.7 10.6  6.1  8.2 10.3    1
1924  7.9  6.4  7.3  8.2 11.2 13.2 14.1 14.1 13.0 11.7  9.3  9.0 10.4    1
1925  8.4  6.8  7.0  8.2 10.4 14.1 14.3 14.9 12.6 12.0  6.8  6.6 10.2    1
1926  7.9  9.1  8.3 10.1 10.8 13.1 16.9 15.9 14.6 10.2  7.9  6.8 11.0    1
1927  7.3  8.0  8.5  8.8 12.1 12.6 14.9 14.9 12.7 12.3  8.4  6.6 10.6    1
1928  8.3  8.7  7.3  8.4 11.8 13.5 14.8 14.7 13.3 11.8  9.5  7.5 10.8    1
1929  5.8  7.5  9.0  9.0 11.3 13.3 14.8 14.8 15.0 11.0  9.0  7.6 10.7    1
1930  6.6  4.4  7.2  8.5 11.3 13.9 14.2 14.0 13.8 11.8  8.7  7.8 10.2    1
1931  7.2  7.3  8.2  9.3 11.3 14.0 14.7 15.0 13.2 11.4  9.7  9.3 10.9    1
1932  9.3  5.9  7.5  8.3 11.0 14.7 15.1 16.6 13.7 10.8  9.9  8.4 10.9    1
1933  6.2  6.7  8.9 10.2 12.3 13.7 16.6 16.4 15.1 11.9  8.7  6.2 11.1    1
1934  8.2  6.5  7.6  8.1 11.1 15.3 17.0 14.7 13.6 11.4  8.7  9.9 11.0    1
1935  7.4  7.8  8.6  9.4 11.7 13.4 15.6 15.4 14.0 11.2  8.1  6.3 10.7    1
1936  6.4  7.2  8.4  8.4 11.5 13.9 14.9 15.8 14.8 12.6  8.9  8.5 10.9    1
1937  7.7  7.9  5.4 10.1 11.9 13.6 15.0 15.9 13.7 10.9  8.4  6.8 10.6    1
1938  8.0  7.4  9.7  9.6 11.2 13.7 14.1 15.4 13.9 12.1 10.9  7.0 11.1    1
1939  6.6  8.7  7.7  9.5 12.2 14.8 14.4 15.9 14.7 10.0 10.8  6.4 11.0    1
1940  6.2  8.1  8.7  9.9 12.6 15.9 14.4 15.9 13.8 11.0  9.2  7.9 11.1    1
1941  5.2  6.2  7.3  8.2 10.7 14.5 15.1 14.7 15.0 12.7  8.7  9.4 10.6    1
1942  7.4  6.0  9.1 10.4 11.9 13.9 14.9 15.8 13.6 10.7  6.2  9.8 10.8    1
1943  8.4  8.9  9.1 10.8 11.7 14.1 15.8 14.9 13.1 11.6  9.5  7.4 11.3    1
1944  9.5  6.6  8.0 10.9 11.8 13.9 15.7 16.1 13.1 10.8  9.0  8.1 11.1    1
1945  4.8  9.4  9.8 10.9 12.3 13.8 15.6 15.9 15.1 13.6 10.7  9.2 11.8    1
1946  7.7  8.6  8.1  9.8 11.9 13.0 14.7 14.1 14.1 12.2 10.1  7.2 11.0    1
1947  6.5  2.8  6.8  9.5 11.2 14.0 14.6 17.3 14.7 12.7  9.9  8.0 10.7    1
1948  7.8  7.7 10.6  9.5 12.1 13.3 14.8 15.3 14.3 12.1 11.8  9.0 11.5    1
1949  8.8  8.8  8.8 10.3 11.1 14.7 16.3 16.2 15.8 12.9  9.4  8.7 11.8    1
1950  8.3  7.4  9.6  9.1 12.8 14.7 15.4 14.6 13.0 11.2  7.9  5.1 10.8    1
1951  6.3  5.1  6.4  8.3 10.6 13.8 15.4 14.6 13.5 11.8  9.6  7.9 10.3    1
1952  5.9  7.1  8.8  9.3 12.2 13.2 15.9 15.4 12.2 11.3  8.1  7.4 10.6    1
1953  7.3  7.3  7.6  8.2 12.2 13.3 14.8 15.1 14.2 11.2  9.8  9.6 10.9    1
1954  6.7  6.7  8.1  9.6 11.2 12.9 13.6 14.0 12.9 12.6  8.5  9.1 10.5    1
1955  6.1  4.1  5.6 10.6 10.4 13.7 16.4 17.8 15.1 10.6  9.5  9.2 10.8    1
1956  6.8  2.7  9.3  8.9 11.6 13.0 14.5 13.6 14.2 10.9  8.9  8.6 10.2    1
1957  7.3  6.8 10.6  9.5 11.6 14.1 15.4 15.3 13.5 11.7  8.3  7.7 11.0    1
1958  7.1  7.9  7.2  9.2 10.7 13.1 14.6 15.2 15.0 11.8  9.9  6.8 10.7    1
1959  6.1  8.6  8.6  9.3 12.3 14.1 15.3 15.8 15.2 13.5  8.7  7.7 11.3    1
1960  6.8  5.7  9.0  9.6 12.4 14.4 14.4 14.8 13.3 10.4  8.5  6.8 10.5    1
1961  7.0  9.2  9.6 10.5 11.5 13.1 14.4 14.5 13.8 11.2  8.4  6.5 10.8    1
1962  7.1  7.1  5.7  9.2 11.0 12.8 14.4 14.2 12.8 11.5  7.8  7.0 10.1    1
1963  2.6  4.3  8.2  8.7 10.5 14.1 14.3 13.8 13.1 12.2  9.1  6.2  9.8    1
1964  7.7  7.4  8.1  9.1 12.5 12.9 14.5 14.8 14.2 11.5 10.0  7.1 10.8    1
1965  5.7  4.7  8.4  9.4 11.6 13.2 14.5 14.5 12.2 12.7  7.6  7.5 10.2    1
1966  6.5  8.9  8.6  9.5 10.9 13.7 14.4 14.8 14.7 10.0  7.5  8.7 10.7    1
1967  7.0  7.1  7.4  9.3  9.7 13.2 14.5 14.6 13.0 10.7  7.9  8.0 10.2    1
1968  8.1  4.4  7.4  8.8  9.9 13.6 14.3 15.6 13.6 13.5  9.6  6.9 10.5    1
1969  6.7  3.8  6.8  8.7 10.6 13.2 14.9 14.8 13.5 13.6  7.4  7.4 10.1    1
1970  6.8  6.2  6.5  8.2 11.9 15.1 14.1 14.4 13.9 11.9  9.1  6.4 10.4    1
1971  7.7  7.1  6.8  8.6 10.9 13.0 15.2 15.0 15.4 13.3  9.1  8.7 10.9    1
1972  6.0  6.6  7.1  9.0 10.0 11.2 14.8 13.6 12.9 11.7  8.2  8.6 10.0    1
1973  7.8  7.1  7.8  8.7 11.3 13.4 14.2 15.0 14.5 11.7 10.2  7.8 10.8    1
1974  8.0  7.1  7.4  9.6 10.7 13.4 14.2 14.4 11.7  9.3  8.0  9.5 10.3    1
1975  8.1  8.6  6.9  8.8 11.4 14.0 15.7 16.2 12.8 12.2  9.3  7.1 10.9    1
1976  8.0  7.0  8.2  9.2 10.7 14.3 15.8 16.9 14.0 10.2  8.2  5.2 10.6    1
1977  5.4  6.7  8.2  8.5 10.8 12.5 15.4 14.9 13.5 12.5  7.8  8.7 10.4    1
1978  5.8  5.9  7.6  8.3 11.3 12.8 13.9 14.5 14.2 12.6 10.9  7.2 10.4    1
1979  4.9  5.3  6.1  7.8  9.3 13.0 14.6 14.2 13.2 11.5  9.8  7.6  9.8    1
1980  6.2  7.9  6.6  9.1 11.4 12.7 13.9 15.2 14.0 10.4  8.4  8.5 10.4    1
1981  8.4  7.1  9.2  9.5 10.9 12.8 14.2 16.0 14.8  9.1  9.9  5.6 10.6    1
1982  7.3  8.0  7.6  9.6 11.3 14.7 15.9 15.0 13.4 11.1  8.4  7.2 10.8    1
1983  8.5  5.6  8.6  7.0  9.8 13.3 17.1 16.7 14.2 11.3 10.2  9.0 10.9    1
1984  6.2  7.4  6.4 10.3 10.2 13.3 15.9 16.0 13.4 11.4  7.7  8.1 10.5    1
1985  4.8  7.9  7.0  9.9 10.8 12.7 14.5 13.6 14.6 11.9  6.9  8.4 10.3    1
1986  6.8  2.9  7.0  6.7 10.0 13.6 14.5 12.8 12.2 11.9  9.2  7.9  9.6    1
1987  5.8  6.7  7.3 10.3 10.8 12.9 15.3 15.1 13.4  9.7  9.0  8.9 10.4    1
1988  7.0  6.6  8.6  9.7 11.1 14.4 13.5 14.0 13.0 11.3  8.9  9.6 10.6    1
1989  8.8  8.0  8.1  7.2 12.8 13.6 16.9 16.0 13.6 12.3  9.3  7.3 11.2    1
1990  8.1  8.1  9.3  8.8 13.2 12.9 16.0 16.1 13.2 12.2  8.9  7.0 11.1    1
1991  6.3  5.4  8.7  9.1 11.6 13.0 15.7 15.7 15.8-99.0-99.0  8.5 11.0    1
1992  7.4  8.1-99.0  9.2 13.1 14.2-99.0 14.2 11.9  9.4  9.4  7.3 10.4    1
1993  8.1  8.4  8.0 10.1 11.3 13.5 14.6 14.5 13.4  9.2  9.2-99.0 10.9    1
1994-99.0  7.4  8.9  8.5 11.7-99.0 14.5 14.7 13.1 12.0 11.3  9.1 11.1    1
1995  7.4  8.2  7.4  9.6 11.2 14.3 17.0 18.0 13.4 13.1  9.9  7.0 11.4    1
1996  7.4  5.9  7.3  9.2  9.6 13.6 15.1 14.8 14.7 12.2  8.4  6.4 10.4    1
1997  6.0  8.0  9.2 10.9 12.6 13.8 15.6 16.4 15.1 13.0  9.8  8.3 11.6    1
1998  7.4  9.2  9.4  8.3 12.5 13.2 14.6 15.4 14.8 12.5  9.6  8.8 11.3    1
1999  7.7  8.5  7.9 10.0 12.6 12.8 15.9 15.8 14.3 11.8  9.3  7.5 11.2    1
2000  6.6  8.4  8.3  8.0 12.0 13.8 15.5-99.0 14.0 10.7  8.3  7.5 10.3    1
2001  6.0  6.7  7.6  8.5 11.9 13.5 15.1 14.9 14.0 13.0 10.2  7.5 10.7    1
2002  9.2  8.1  8.5  9.5 11.2 12.5 14.0 14.6 14.3 11.3 10.2  8.3 11.0    1
2003  7.0  7.8  9.3 10.9 11.3 13.8 15.1 16.6 14.3 11.2  9.9  8.3 11.3    1
2004  7.7  7.2  8.6  9.6-99.0-99.0 14.6 15.6 14.9 10.1 10.3  9.4 10.8    1
2005  8.4  6.8  9.1  9.7 11.3 14.5 15.7 15.7 14.8 12.7  9.5  8.5 11.4    1
2006  8.0  7.2  7.4  9.2 11.0 14.2 16.6 15.4-99.0 13.5  9.6  9.2 11.0    1
2007  8.6  7.9  8.3 10.9 11.8 14.3 15.1 15.2 14.0 13.4 10.9  9.6 11.7    1
2008  8.7  8.3  7.9  9.1 13.5 13.6 15.3 15.4 13.4 10.9  9.4  8.0 11.1    1
2009  7.3  7.1  8.8 10.0 11.6 15.0 15.2 14.9 13.6 13.1  9.5-99.0 11.5    1
AA    7.0  6.8  7.7  9.0 11.2 13.5 14.9 15.0 13.7 11.4  8.8  7.7 10.6
Ad    7.1  7.0  7.7  9.1 11.4 13.6 15.0 15.1 13.8 11.4  8.9  7.7 10.7

For Country Code 62103953

From input file /gnuit/GIStemp/STEP0/to_next_step/v2.mean_comb
```

So for my money, the ‘trick’ is in the last mod flag group of data and the artifacts it introduces, especially in the coldest data. (though that’s from a visual check and a proper graphing ought to be done, by month.)

FWIW if anyone wants the code for these programs, it is fairly short and I can post it. Probably easier to just write your own in a language you know. It’s just pick out the columns from the data and add the temperatures, making some running totals, with filtering available by country code and WMO number (actually, any key length from first character on).

15. Hugo M says:

Mike Bromley the Canucklehead said on 10 May 2012 at 11:40 am
The point remains, and it is well taken: average temperatures of different air masses are essentially meaningless. Just as the base premise of climate change â€˜scienceâ€™ (a â€˜flatâ€™, unchanging climate baseline) is flawed, so is the method of determining â€˜changeâ€™.

You are preaching to the choir here. However, one had to show that there is actually a different trend when the enthalpy is considered instead of temperature. Since every device which is worth to be named a weather station must be equipped with a psychrometer, the mystery is where these data got to? Why are they not part of the GHCN? In v1 and v2 there are precipitation and pressure values. In v3 only temperature remains.