GIStemp – Sneak Peek Benchmarks STEP1

A Cusp, of light in a tea cup

A Cusp, of light in a tea cup

Original Full Sized Image.

There Are Those Moments, Those Happy Few, On The Cusp…

There are those moments in life, when you have worked a long time, toiling at some unpleasant task in the hope that someday, just maybe, you might find a small gem in the dreck through which you wade…

Then there is a sparkle. Is it a gem? Or just broken glass ready to nick you?

You are on the cusp.

It is both energizing and fearful.

A moment in time, never to return again.

On one side lays a long history of unpleasantness.

On the other side may be a field of dreams, or may be more dreck.

And you must “do the deed” and pick up the sparkle and find out the future.

But not just yet.

There is great joy some times in standing on the cusp. Wondering: “Is this the moment?”

And that is where we are right now with GIStemp benchmarks. I’ve spent a very long time getting it to run, producing the files it makes. Even took a long slow trip off into GHCN breakage and how the Thermometer Langoliers had eaten 93% of the thermometers in the U.S.A., discovering that GIStemp had broken input, so could only make broken output, after 2006. That side trip made some interesting tools. Tools that let us look at averages of temperature records over time, over altitude (my last newest toy), and over latitude. We discovered that The March Of The Thermometers was to the Equator. South for the world as a whole, but north for Australia. And this introduced a bias in the basic data.

Now, with the input data ‘characterized’, we know what it looks like. Now I can start to do what I set out to do when getting pulled into the GHCN “Great Dying of Thermometers”; that is, benchmark and measure and find out: What does GIStemp do to the input data?

And today I’ve seen a little sparkly bit in the dreck.

Today you get to see it too.

No analysis.

No answer.

Sparkle.

Jump To Section Links

Well, I got carried away, and now there are too many blocks of data here. It’s bothersome to scroll through it. So I’m going to put some “jump to” links in here. They will take you to sections further down.

What files are used? What part of GIStemp is tested?.
Introduction.
New Zealand.
U.S.A..
Australia.
Europe.
South America.
China.
Antarctica.
Indonesia.
Conclusions.

The Ts.txt file, Output of STEP1

In GIStemp, there are 5 1/2 steps. They call them by odd numbers for hysterical, er, historical reasons.

STEP0 just sucks in the “raw” data and glues it together. GHCN for most of it. Some special sauce from Germany for one long lived site. A direct addition of Antarctic data from the creators of it. And an old copy of the U.S.A thermometer records (up to 2007, when it cuts off. NOAA changed the file format from USHCN to USHCN.v2 and GIStemp, well, nobody told it…) and during the merging of USHCN and GHCN (that has the USHCN data in it, but in C instead of F) there is a bit of molestation of the two to combine them.

This is then handed off to STEP1 that does a bit of putty and spackle work. Gluing together bits of some records. Filling in data where there are none, (but someone nearby maybe has a bit that might be smeared over this way if you try really hard).

STEP2 does the “UHI” adjustment along with the first cut of zones and anomalies.

STEP3 does the “zones, but different zones” process and the Grid, Box, Anomaly work. And is basically the last step of “GIStemp, The Land Story”.

STEP4_5 just blends in the Hadley CRU Sea Surface Anomaly map. Since Hadley have lost their raw data for some large part of their products, and will not disclose the manipulations, er, pardon, “methods” they apply to the data, er, that they had, maybe, once upon a time … I’m frankly not very interested in STEP4_5 and even GIStemp says that it is an optional step in the source code… Guess they are not that impressed either…

FWIW STEP4 just gets an update of the Hadley map, and STEP5 merges it into the grids and boxes. They are combined in one actual STEP, so I’d call STEP4_5 ‘a step and a half’. You can decide which part is the 1/2 done part…

So we have 0, 1, 2, 3; that make four steps, then 1 1/2 for a 5 1/2 total steps.

Why do I mention this? (Other than to spend a bit more time in that wonderful sparkly “on the cusp” moment…)

To orient you to the data to be presented below.

The output of STEP1 is a file named Ts.txt and is fed as input to STEP2. I’ve written a bit of code that spits out a v2.mean format file from the program that translates Ts.txt into a binary file (Ts.bin) at the input to STEP2. This lets me use all those tools we’ve already been using. (The format is slightly different, since the “name” field has changed length in STEP1, but it’s an easy thing for which to adjust. But it does mean you will see things “one tool at a time” as I do the adjustment in the code…)

The first tool I converted was the “by latitude” tool. So the sparkly bit will be some listings of the “by latitude” reports from the basic input data (I can use either the v2.mean_comb file that is the output from STEP0, or I can use the GHCN v2.mean file that is the input to STEP0, which I think only introduces a bit of warming bias and no latitude bias to speak of.)

With that, you now know that what you will see are some charts of “by lattitude” data as it enters STEP0 (not glued together) and after that passes through STEP1 (putty, spackle, reach, spread, smear……). That is, what happens to the GHCN data as the USHCN is mergered, and the STEP1 spread, stretch, stitch and infill is done?

The temperature charts are based on the v2.mean_comb file (the input to STEP1 rather than the input to STEP0) and is compared to the output of STEP1. A spot check of v2.mean vs v2.mean_comb showed very little difference between the two.

Sparkly Bits Floating In The Dreck

I’ve just started to play with this new tool. It needs a shakedown cruise. I may have fumble fingered something and “messed something up”. So this is a new tool and may yet “have issues”.

I don’t think so. It was mostly just a shift of a format line by 6 characters for the reporting part, but I might have the extract from the Ts.txt file wrong. There is more dreck to wade through to get that part proven valid. But there is that “sparkly bit” that wants to be looked at Right Now, not after a week of preening and polishing and proving…. NOW!

So, with that caveat in place, what did I find?

I found that STEP1 seems to change the average latitude of thermometers for a place. That is, the “by latitude” chart has different numbers for different years. Perhaps an artifact of the “infill” in some cases ‘filling out a year’ for a thermometer where before there was not a thermometer…

Perhaps because things prior to 1880 are tossed out (though it also changes in the “by decade” and “by years” parts…). Perhaps by gluing, spreading, deleting, whatever. But change it does.

So we’re going to look at some “sparkly bits” of “by latitude” charts as I ponder what this means, if anything; and if I’ve got it right, and how best to make this a vetted finding and present example like this for more of the world…

New Zealand

Here you can see that the “v2.mean” data start before 1880, and the lines for each decade summary are labeled with “DecPct” for Decade Percent. For the version that runs against the “Ts.txt” data, they start in 1889 decade ending and have a DtsPct infix ‘header’.

Before:

[chiefio@tubularbells analysis]$ cat Lats/*507.Dec.LAT
       Year SP -65   -60   -55   -50   -45   -40   -35   -30   -25   -NP
DecPct: 1869   0.0   0.0   0.0   0.0  21.4  57.1  21.4   0.0   0.0   0.0 100.0
DecPct: 1879   0.0   0.0   0.0   0.0  19.2  61.5  19.2   0.0   0.0   0.0 100.0
DecPct: 1889   0.0   0.0   0.0   0.0  23.8  52.4  23.8   0.0   0.0   0.0 100.0
DecPct: 1899   0.0   0.0   0.0   0.0  21.7  56.5  21.7   0.0   0.0   0.0 100.0
DecPct: 1909   0.0   0.0   0.0   0.0  15.6  68.8  15.6   0.0   0.0   0.0 100.0
DecPct: 1919   0.0   0.0   0.0   0.0  16.7  66.7  16.7   0.0   0.0   0.0 100.0
DecPct: 1929   0.0   0.0   0.0   0.0  20.0  60.0  20.0   0.0   0.0   0.0 100.0
DecPct: 1939   0.0   0.0   0.0   0.0  19.2  61.5  19.2   0.0   0.0   0.0 100.0
DecPct: 1949   0.0   0.0   0.0  16.7   9.3  46.3   9.3   0.0  18.5   0.0 100.0
DecPct: 1959   0.0   0.0   0.0  14.1  10.8  40.4  21.6   0.0  13.1   0.0 100.0
DecPct: 1969   0.0   0.0   0.0  13.6  13.3  34.6  24.8   0.0  13.6   0.0 100.0
DecPct: 1979   0.0   0.0   0.0  11.9  11.9  34.9  29.3   0.0  11.9   0.0 100.0
DecPct: 1989   0.0   0.0   0.0  14.0  11.3  35.6  25.7   0.0  13.5   0.0 100.0
DecPct: 1999   0.0   0.0   0.0  11.3  12.3  33.0  34.9   0.0   8.5   0.0 100.0
DecPct: 2009   0.0   0.0   0.0   3.6  12.0  36.1  36.1   0.0  12.0   0.0 100.0
 
For COUNTRY CODE: 507

After:

       Year SP -65   -60   -55   -50   -45   -40   -35   -30   -25    NP
DtsPct: 1889   0.0   0.0   0.0   0.0  16.7  66.7  16.7   0.0   0.0   0.0 100.0
DtsPct: 1899   0.0   0.0   0.0   0.0  16.7  66.7  16.7   0.0   0.0   0.0 100.0
DtsPct: 1909   0.0   0.0   0.0   0.0  16.7  66.7  16.7   0.0   0.0   0.0 100.0
DtsPct: 1919   0.0   0.0   0.0   0.0  16.7  66.7  16.7   0.0   0.0   0.0 100.0
DtsPct: 1929   0.0   0.0   0.0   0.0  16.7  66.7  16.7   0.0   0.0   0.0 100.0
DtsPct: 1939   0.0   0.0   0.0   0.0  16.7  66.7  16.7   0.0   0.0   0.0 100.0
DtsPct: 1949   0.0   0.0   0.0  13.6  12.3  49.4  12.3   0.0  12.3   0.0 100.0
DtsPct: 1959   0.0   0.0   0.0  10.2  13.6  38.1  31.3   0.0   6.8   0.0 100.0
DtsPct: 1969   0.0   0.0   0.0  10.3  15.2  32.6  36.4   0.0   5.4   0.0 100.0
DtsPct: 1979   0.0   0.0   0.0  11.6  12.2  29.7  40.7   0.0   5.8   0.0 100.0
DtsPct: 1989   0.0   0.0   0.0  15.9   8.7  33.3  34.1   0.0   7.9   0.0 100.0
DtsPct: 1999   0.0   0.0   0.0  18.0   9.0  27.0  30.6   0.0  15.3   0.0 100.0
DtsPct: 2009   0.0   0.0   0.0  13.0  10.9  32.6  32.6   0.0  10.9   0.0 100.0
 
From TS file For COUNTRY CODE: 507

And no, I do not yet know what it means or why it happens. For now, it is just a sparkly bit in the dreck as we are “On The Cusp”…

The temperature series looks like there is a lift to the temperatures in the mid to late 1980s and into the early 1990s. We again have the sort of “flattening” effect on ranges, and there is that amusing ‘creation of thermometers’ effect too. ;-)

Before:

[chiefio@tubularbells analysis]$ cat Temps/Temps.507.yrs.GAT 

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 12.6 14.2 14.4 13.2   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
     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
     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
[chiefio@tubularbells analysis]$ 

After:



[chiefio@tubularbells Temps]$ cat Tempsts.507.yrs.GAT 

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   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  9.4  7.7  8.3 10.8 12.3 13.1 15.7 12.5   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 12.9 15.0 14.8 12.8   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  7.8  7.9 10.5 12.0 12.4 14.2 12.0   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 14.2 16.2 11.9   6
1904 16.4 16.4 15.2 12.9 10.7  8.9  7.8  8.1 10.2 11.3 12.2 13.0 11.9   6
1905 14.1 16.1 15.2 11.7 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  9.5  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 14.4 14.0 11.8 10.0  7.7  7.9  7.7  9.1 10.0 11.5 13.2 11.2   9
1949 13.6 15.3 13.1 10.9  9.6  7.9  7.8  7.5  8.6 10.7 11.6 13.2 10.8   9
1950 14.8 14.1 12.8 11.1 10.7  7.4  7.2  7.2  8.9 10.8 12.1 13.3 10.9  10
1951 15.4 15.6 15.2 13.2  9.8  7.5  8.0  7.8  9.7 11.3 13.0 13.5 11.7  15
1952 14.6 16.1 14.1 12.8 10.3  8.5  7.3  8.9 10.1 11.6 12.8 14.8 11.8  15
1953 15.0 15.0 14.5 12.4 10.8  8.5  7.7  8.7  9.9 10.9 13.7 14.9 11.8  16
1954 15.6 16.7 15.7 12.3 11.1  9.2  7.5  8.1  9.3 11.0 14.1 14.8 12.1  16
1955 16.8 18.0 16.2 14.4 12.2  8.5  7.7  9.6 10.9 13.0 13.9 16.0 13.1  15
1956 18.6 16.9 15.0 15.9 11.5 10.0  8.4  9.0 10.8 12.8 14.2 15.9 13.2  15
1957 17.1 18.0 16.8 14.4 11.7  9.0  7.7  9.5 10.6 11.5 13.6 14.6 12.9  15
1958 15.9 17.9 16.5 12.5 11.1  8.9  7.6  9.2 10.1 13.3 14.5 16.5 12.8  15
1959 17.5 16.8 15.9 13.6  9.2  8.2  8.3  9.1 10.9 11.3 13.9 15.9 12.5  15
1960 17.0 16.7 14.9 13.2 11.6  9.4  8.6  8.7 10.7 12.9 13.8 14.6 12.7  15
1961 16.5 16.8 15.0 13.2 10.6  8.8  8.0  8.5  9.8 13.2 13.7 16.3 12.5  17
1962 17.6 16.6 15.8 13.5 12.6 10.0  9.0  9.4 10.5 13.3 13.8 15.3 13.1  19
1963 16.7 17.4 14.9 12.3 10.6  8.3  8.0  7.9 10.3 12.0 12.5 14.3 12.1  19
1964 15.3 16.3 15.2 12.7 10.2  8.6  8.9  8.7 10.1 11.7 13.1 15.8 12.2  19
1965 17.2 15.4 14.9 12.6 10.0  8.5  7.1  8.2 10.1 10.6 12.8 14.7 11.8  19
1966 16.0 17.8 15.9 13.3 10.0  8.4  7.8  8.0 10.0 11.5 12.9 14.6 12.2  19
1967 15.9 15.9 15.8 13.2 10.7  8.1  7.8 10.2  9.7 12.4 13.1 15.3 12.3  19
1968 15.9 16.3 17.1 13.3 11.5  9.1  7.6  9.3  9.6 11.3 12.9 14.3 12.3  19
1969 16.1 15.7 15.1 12.5 10.6  7.8  7.3  8.9 11.4 10.8 14.0 16.6 12.2  19
1970 17.5 16.5 16.2 13.8 10.2  9.4  8.9  9.7 11.0 12.5 13.9 15.7 12.9  19
1971 17.2 17.6 15.6 13.8 11.9 10.5  8.3 10.0 10.7 12.1 13.7 15.8 13.1  17
1972 15.9 15.8 16.4 13.5 10.7  7.6  8.6  8.0 11.0 12.2 14.7 14.3 12.4  17
1973 16.4 16.8 15.8 13.3 11.2  9.6  8.1  9.3 11.2 12.2 14.1 15.7 12.8  17
1974 16.0 18.3 14.6 14.0 11.2  9.0  9.1  8.8 11.2 12.1 14.4 16.7 12.9  17
1975 18.0 17.5 16.7 14.1 11.8  8.4  8.2  9.5 10.5 12.2 13.0 14.5 12.9  17
1976 16.3 14.6 15.5 13.5 10.5  8.2  8.2  9.4  9.9 11.2 12.4 15.3 12.1  17
1977 15.6 16.4 15.8 13.4  9.7  8.9  8.6  9.1  8.9 11.4 12.8 14.7 12.1  17
1978 17.0 17.4 16.0 15.0 11.4  8.7  9.0  9.5 10.4 11.2 13.6 15.4 12.9  17
1979 16.8 16.4 16.4 13.5 10.7  9.8  8.9  8.9 10.7 12.0 14.2 15.6 12.8  17
1980 16.6 16.7 14.9 13.0 11.2  9.3  8.3  9.1 11.1 12.6 12.6 15.1 12.5  17
1981 16.6 17.2 16.3 14.2 10.8 10.0  8.7  8.5 10.1 11.9 13.7 16.6 12.9  13
1982 16.7 17.4 15.5 12.2 11.2  8.6  7.9  9.1 10.0 10.4 13.9 14.3 12.3  12
1983 15.4 15.4 15.2 12.8 10.5  9.0  8.0  9.3 10.2 11.9 13.4 14.6 12.1  12
1984 15.4 16.9 16.5 13.1 10.6  9.9  9.3  9.8 10.4 11.7 14.5 16.6 12.9  12
1985 17.8 17.1 14.8 13.3 10.8 10.0  9.1  8.8 10.4 11.3 13.2 15.8 12.7  12
1986 17.9 17.3 15.1 13.6 10.9  9.0  7.8  8.2  9.5 12.2 13.3 14.9 12.5  12
1987 17.5 16.1 14.4 13.0 11.3  9.2  8.5  9.9 10.1 12.2 14.0 15.5 12.6  12
1988 16.3 17.4 15.0 12.3 10.7  9.7  9.4  9.3 11.2 12.4 14.3 16.3 12.9  12
1989 17.5 16.8 15.9 13.2 11.2  9.4  8.2  9.6 11.2 12.6 13.8 14.6 12.8  12
1990 16.2 17.4 15.9 13.3 11.2  8.8  8.5  9.3  9.5 11.9 13.5 16.0 12.6  11
1991 16.9 16.9 15.8 13.0 11.0  8.5  8.2 10.5 11.0 11.9 11.7 14.0 12.4  11
1992 16.0 15.6 13.4 10.9  8.2  7.5  8.3  8.6  8.6 11.3 13.9 14.6 11.4  11
1993 15.5 15.8 14.5 12.0 10.8  9.5  8.6  8.2  8.9 12.0 12.6 14.1 11.9  11
1994 16.8 16.7 14.4 12.5 10.8  7.3  7.8  8.2  8.2 10.3  6.6 14.6 11.2  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  10
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 16.4 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  10
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  10
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  10
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   9
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   9
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   9
2006 17.9 17.8 15.1 15.4 12.2  8.5  9.4  9.5 11.8 12.6 14.2 14.4 13.2   9
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
     16.3 16.5 15.3 13.2 10.8  8.8  8.1  8.8 10.3 11.8 13.3 15.1 12.4
     16.3 16.3 15.2 13.1 10.8  8.8  8.0  8.7 10.2 11.8 13.2 15.1 12.3
 
From Ts File for Country Code 507
[chiefio@tubularbells Temps]$ 

The U.S.A.

It looks like Alaska gets suppressed a bit…

Before:

[chiefio@tubularbells analysis]$ cat Lats/Therm*425*Dec*
       Year SP  30    35    40    45    50    55    60    65    70   -NP
DecPct: 1749   0.0   0.0   0.0 100.0   0.0   0.0   0.0   0.0   0.0   0.0 100.0
DecPct: 1759   0.0   0.0   0.0 100.0   0.0   0.0   0.0   0.0   0.0   0.0 100.0
DecPct: 1769   0.0   0.0   0.0 100.0   0.0   0.0   0.0   0.0   0.0   0.0 100.0
DecPct: 1789   0.0   0.0   0.0 100.0   0.0   0.0   0.0   0.0   0.0   0.0 100.0
DecPct: 1799   0.0   4.2   0.0  95.8   0.0   0.0   0.0   0.0   0.0   0.0 100.0
DecPct: 1809   0.0  13.8   0.0  86.2   0.0   0.0   0.0   0.0   0.0   0.0 100.0
DecPct: 1819   0.0   0.0  10.0  90.0   0.0   0.0   0.0   0.0   0.0   0.0 100.0
DecPct: 1829   2.9  11.6  15.1  68.6   0.6   0.0   1.2   0.0   0.0   0.0 100.0
DecPct: 1839   5.8  11.2  13.2  62.5   2.7   0.0   4.7   0.0   0.0   0.0 100.0
DecPct: 1849   5.4   9.2  19.2  59.7   1.5   0.0   5.0   0.0   0.0   0.0 100.0
DecPct: 1859   8.5  15.5  23.6  47.6   2.1   0.0   2.7   0.0   0.0   0.0 100.0
DecPct: 1869   1.5  14.0  29.5  48.6   3.2   0.0   3.2   0.0   0.0   0.0 100.0
DecPct: 1879   2.6  14.6  31.3  43.2   6.1   0.1   2.0   0.0   0.0   0.0 100.0
DecPct: 1889   2.6  22.3  28.6  36.9   8.2   0.2   1.1   0.1   0.0   0.0 100.0
DecPct: 1899   3.0  18.6  29.2  36.3  12.2   0.0   0.5   0.1   0.1   0.0 100.0
DecPct: 1909   3.0  17.3  30.6  34.4  12.9   0.1   1.1   0.5   0.2   0.0 100.0
DecPct: 1919   3.1  16.9  30.0  32.7  14.4   0.2   1.3   1.2   0.2   0.0 100.0
DecPct: 1929   3.1  16.9  29.4  32.1  14.6   0.2   1.7   1.5   0.3   0.2 100.0
DecPct: 1939   3.2  16.8  28.9  32.4  14.4   0.1   1.8   1.6   0.5   0.2 100.0
DecPct: 1949   3.4  17.0  28.4  31.5  13.8   0.3   2.2   2.6   0.6   0.2 100.0
DecPct: 1959   4.4  18.4  27.8  30.0  12.9   0.3   2.2   3.1   0.6   0.3 100.0
DecPct: 1969   4.7  18.4  28.0  29.7  12.8   0.3   2.4   2.9   0.6   0.3 100.0
DecPct: 1979   4.5  17.6  28.2  30.4  13.0   0.3   2.5   2.7   0.5   0.4 100.0
DecPct: 1989   4.5  17.5  29.0  30.8  12.8   0.2   2.0   2.4   0.4   0.3 100.0
DecPct: 1999   4.5  18.5  29.4  32.0  13.2   0.0   0.9   1.2   0.2   0.1 100.0
DecPct: 2009   4.3  18.4  29.5  32.5  13.6   0.0   0.7   0.9   0.2   0.1 100.0
 
For COUNTRY CODE: 425

After:

       Year SP  30    35    40    45    50    55    60    65    70    NP
DtsPct: 1889   2.7  20.4  29.7  39.5   5.3   0.4   1.7   0.3   0.0   0.0 100.0
DtsPct: 1899   2.8  18.4  30.2  37.8   9.8   0.1   0.7   0.2   0.0   0.0 100.0
DtsPct: 1909   2.9  17.0  30.9  34.8  13.2   0.1   0.5   0.4   0.2   0.1 100.0
DtsPct: 1919   3.1  16.7  30.1  33.6  14.9   0.1   0.5   0.7   0.3   0.1 100.0
DtsPct: 1929   3.2  16.6  29.6  33.5  15.0   0.1   0.8   0.9   0.3   0.1 100.0
DtsPct: 1939   3.3  16.4  29.3  33.7  14.8   0.1   0.9   1.1   0.3   0.1 100.0
DtsPct: 1949   3.6  17.1  28.9  33.0  14.2   0.2   1.1   1.5   0.3   0.1 100.0
DtsPct: 1959   4.3  19.1  28.7  31.4  13.2   0.2   1.0   1.7   0.3   0.1 100.0
DtsPct: 1969   4.4  19.2  28.8  31.5  13.1   0.2   0.9   1.5   0.3   0.1 100.0
DtsPct: 1979   4.3  18.1  28.9  32.5  13.4   0.2   0.9   1.2   0.3   0.1 100.0
DtsPct: 1989   4.1  17.9  29.0  32.8  13.6   0.2   0.9   1.2   0.2   0.1 100.0
DtsPct: 1999   4.2  18.4  29.2  32.7  13.9   0.0   0.6   0.8   0.1   0.1 100.0
DtsPct: 2009   4.1  18.4  29.3  32.8  13.9   0.0   0.6   0.7   0.1   0.1 100.0
 
From TS file For COUNTRY CODE: 425
[chiefio@tubularbells analysis]$

Where there seems to be a general drift to the middle in small bits.

Australia

Where there is both a pull to the middle and a bit of a northward drift.

Before:

[chiefio@tubularbells analysis]$ cat Lats/Therm*501.Dec*
       Year SP -50   -45   -40   -35   -30   -25   -20   -15   -10   -NP
DecPct: 1849   0.0   0.0 100.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0 100.0
DecPct: 1859   0.0   0.0  27.8  27.8  44.4   0.0   0.0   0.0   0.0   0.0 100.0
DecPct: 1869   0.0   0.0   0.0  53.6  46.4   0.0   0.0   0.0   0.0   0.0 100.0
DecPct: 1879   0.0   0.0   0.0  42.7  55.0   1.8   0.6   0.0   0.0   0.0 100.0
DecPct: 1889   0.0   0.0   2.1  45.3  38.1   3.6   8.3   0.5   2.1   0.0 100.0
DecPct: 1899   0.0   0.0   4.4  36.4  36.9   6.9  11.5   2.1   1.8   0.0 100.0
DecPct: 1909   0.0   0.0   4.2  29.5  39.9  12.0   7.6   5.5   1.2   0.0 100.0
DecPct: 1919   0.0   0.0   3.3  22.2  38.2  16.4   9.7   8.9   1.3   0.0 100.0
DecPct: 1929   0.0   0.0   3.7  21.9  38.9  15.9   9.4   9.0   1.2   0.0 100.0
DecPct: 1939   0.0   0.0   4.3  21.4  37.6  17.3   9.9   8.6   0.8   0.0 100.0
DecPct: 1949   0.1   0.0   4.4  19.4  35.0  20.0  11.5   8.1   1.6   0.0 100.0
DecPct: 1959   0.8   0.0   4.9  17.4  33.9  19.0  13.2   8.2   2.5   0.0 100.0
DecPct: 1969   0.8   0.0   5.9  18.0  33.6  16.4  13.6   8.2   3.6   0.0 100.0
DecPct: 1979   0.6   0.0   5.0  19.0  33.8  17.3  12.8   7.7   3.6   0.0 100.0
DecPct: 1989   0.7   0.0   5.2  18.0  33.4  16.7  13.2   8.6   4.2   0.0 100.0
DecPct: 1999   1.0   0.0   5.4  16.9  34.1  16.1  13.9   8.4   4.2   0.0 100.0
DecPct: 2009   1.9   0.0   5.7  14.7  32.8  12.4  18.9   9.9   3.8   0.0 100.0
 
For COUNTRY CODE: 501

After:

       Year SP -50   -45   -40   -35   -30   -25   -20   -15   -10    NP
DtsPct: 1889   0.0   0.0   2.8  33.8  46.2   4.8   9.0   0.7   2.8   0.0 100.0
DtsPct: 1899   0.0   0.0   5.9  29.1  39.3  10.3  10.9   2.5   2.1   0.0 100.0
DtsPct: 1909   0.0   0.0   4.6  27.4  39.1  14.4   8.5   4.8   1.3   0.0 100.0
DtsPct: 1919   0.0   0.0   3.6  22.5  38.9  17.3   8.2   8.2   1.4   0.0 100.0
DtsPct: 1929   0.0   0.0   3.7  21.8  39.7  17.3   8.0   8.2   1.2   0.0 100.0
DtsPct: 1939   0.0   0.0   4.1  20.7  39.1  18.0   8.7   8.1   1.3   0.0 100.0
DtsPct: 1949   0.1   0.0   4.2  19.4  37.6  19.9   9.7   7.5   1.7   0.0 100.0
DtsPct: 1959   0.3   0.0   4.2  19.0  37.3  20.0  10.3   7.1   1.8   0.0 100.0
DtsPct: 1969   0.2   0.0   5.5  19.8  36.3  17.7  10.5   7.1   2.9   0.0 100.0
DtsPct: 1979   0.2   0.0   5.5  20.0  34.8  17.8  11.0   7.1   3.5   0.0 100.0
DtsPct: 1989   0.2   0.0   5.9  19.5  33.8  17.5  11.6   7.5   3.9   0.0 100.0
DtsPct: 1999   0.5   0.0   6.6  18.8  33.3  16.3  13.5   7.4   3.5   0.0 100.0
DtsPct: 2009   1.5   0.0   6.3  16.8  31.0  12.2  19.9   9.2   3.1   0.0 100.0
 
From TS file For COUNTRY CODE: 501
[chiefio@tubularbells analysis]$ 

The temperature series is rather interesting too. Looks like a bit of an increase in the tilt via cooling the past? Subtile enough it really will need a graph… But the fascinating bit is the thermometer count by years… GIStemp is quite clearly “creating” thermometers where there are none in the raw data.

Before:

[chiefio@tubularbells analysis]$ cat Temps/Temps.501.yrs.GAT Temps/Tempsts.501.yrs.GAT 

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 22.5 22.6 20.7 17.1 13.4 10.5  9.3 12.1 14.1 15.2 18.6 21.3 16.5  24
1881 22.2 22.0 20.4 17.1 14.4  9.9  9.8 11.5 13.7 15.9 18.6 21.9 16.4  29
1882 23.7 22.5 21.6 17.6 14.5 11.1 10.7 12.3 15.0 17.4 20.1 21.1 17.3  29
1883 22.7 22.0 20.6 17.8 13.7 12.5 10.5 12.2 13.4 16.4 19.0 21.4 16.8  30
1884 21.8 22.5 21.0 17.6 13.7 11.6 10.7 12.7 14.5 16.8 19.7 20.4 16.9  30
1885 23.0 22.4 19.9 16.9 14.3 10.8 10.4 12.2 14.5 18.1 19.4 22.5 17.0  33
1886 23.5 21.6 20.1 17.7 13.2 11.0 10.9 11.7 14.6 15.5 19.7 21.2 16.7  32
1887 23.9 22.0 21.2 17.9 13.2 10.8 10.8 12.0 13.2 16.6 18.5 21.7 16.8  36
1888 23.8 23.1 20.5 18.9 14.7 13.1 11.6 12.6 15.9 18.2 22.3 23.8 18.2  39
1889 24.2 24.3 22.6 19.0 15.7 12.5 11.3 12.8 15.0 19.0 21.3 23.6 18.4  41
1890 24.5 23.5 22.3 18.6 15.4 13.6 10.9 12.8 15.6 18.0 20.0 21.9 18.1  40
1891 22.5 22.1 21.8 17.6 15.0 12.3 11.1 12.4 14.6 17.6 20.5 22.4 17.5  40
1892 23.0 23.9 23.0 17.6 14.7 12.3 11.4 13.3 15.1 18.0 21.1 21.8 17.9  41
1893 23.4 23.7 22.1 17.9 15.2 11.8 11.5 13.0 15.0 18.8 20.4 22.6 18.0  42
1894 23.7 22.7 21.7 18.4 13.7 12.2 10.6 12.2 13.8 18.3 21.4 22.6 17.6  46
1895 22.3 22.7 21.1 17.9 13.8 11.8  9.8 13.0 14.7 19.0 20.2 22.8 17.4  49
1896 24.6 23.1 21.3 17.4 13.7 10.8  9.7 11.2 14.0 19.0 20.4 23.2 17.4  50
1897 22.2 22.2 19.4 18.2 13.5 12.3 11.6 11.4 14.5 16.1 20.6 22.8 17.1  54
1898 24.1 24.1 21.4 17.3 13.3 11.8 11.2 12.9 15.0 17.7 19.7 22.3 17.6  62
1899 21.5 24.0 21.5 18.0 13.6 11.7 10.3 12.0 15.2 16.1 19.7 23.0 17.2  66
1900 23.3 23.9 20.2 16.4 13.5 12.3 10.2 11.2 13.2 17.1 20.2 22.1 17.0  71
1901 22.3 23.3 20.7 17.5 14.8 10.7 10.0 11.8 15.2 16.9 21.2 22.4 17.2  77
1902 22.3 21.9 21.0 18.1 14.6 11.7 11.0 11.7 14.4 17.1 20.7 21.2 17.1  80
1903 22.8 22.3 20.9 16.9 13.5 11.2 10.3 11.5 13.8 16.6 19.4 20.7 16.7  88
1904 22.2 21.7 20.1 18.5 14.3 11.3 10.7 11.8 13.2 16.4 19.5 22.1 16.8  88
1905 23.4 21.7 20.5 18.0 14.6 11.5 10.5 11.2 12.1 14.6 18.9 21.8 16.6  91
1906 24.2 24.1 20.6 18.6 14.9 12.7 11.0 11.6 13.3 16.7 18.0 22.0 17.3  93
1907 23.4 23.2 20.9 17.9 15.1 12.4 11.2 12.9 15.4 18.4 20.5 22.5 17.8 170
1908 25.3 23.4 21.2 18.7 14.9 10.6 11.1 12.3 14.3 17.6 21.7 23.5 17.9 176
1909 23.2 22.6 21.3 17.0 14.4 12.5 10.7 12.6 14.8 18.2 20.6 21.9 17.5 183
1910 23.8 23.7 21.4 19.0 15.4 12.7 11.5 13.4 16.2 17.1 20.2 22.0 18.0 194
1911 23.1 22.6 20.9 17.5 14.7 11.1 11.4 13.0 15.6 18.0 21.7 22.7 17.7 198
1912 24.1 24.8 22.3 18.2 14.7 12.7 11.6 13.1 15.1 18.1 20.5 22.9 18.2 202
1913 23.8 23.9 20.9 19.0 14.0 11.9 11.9 12.4 15.1 18.7 20.5 23.6 18.0 217
1914 24.5 24.5 22.5 19.1 15.5 12.8 11.2 13.7 15.9 19.6 22.7 24.0 18.8 222
1915 23.8 25.1 22.3 19.1 14.5 12.9 12.6 12.8 16.1 17.7 21.0 22.7 18.4 226
1916 24.4 24.0 21.9 18.1 15.1 12.6 11.5 12.6 15.9 17.4 18.7 22.0 17.8 226
1917 23.6 21.7 20.9 17.2 13.4 11.8 11.9 12.5 15.2 17.7 19.6 22.5 17.3 228
1918 23.2 22.7 20.8 18.1 15.1 12.5 10.6 13.0 15.3 17.6 21.0 23.1 17.8 228
1919 24.1 24.2 21.5 19.4 15.8 12.9 11.3 12.5 15.5 18.4 22.0 23.7 18.4 230
1920 23.3 23.5 21.0 18.1 14.5 12.7 11.8 12.4 15.2 18.3 21.2 22.7 17.9 228
1921 23.7 24.0 21.3 18.5 16.2 13.6 12.8 12.0 15.8 17.2 21.5 22.5 18.3 232
1922 22.9 23.6 21.3 19.5 14.8 12.3 11.0 12.0 15.1 18.4 21.3 22.7 17.9 230
1923 23.4 24.5 22.4 19.3 15.9 12.4 11.2 12.1 14.6 17.7 19.6 23.4 18.0 229
1924 22.9 22.6 21.1 17.1 14.7 11.8 12.1 12.8 15.5 17.7 20.0 21.4 17.5 230
1925 22.5 23.0 21.0 18.3 14.9 12.6 10.6 11.9 13.8 17.6 20.9 23.1 17.5 236
1926 23.4 24.9 22.2 18.8 14.1 12.5 12.2 12.9 15.6 18.4 20.9 22.1 18.2 237
1927 23.6 22.7 21.2 17.8 14.0 11.9 11.1 12.2 15.0 18.5 21.5 22.2 17.6 237
1928 23.0 23.4 22.0 19.3 14.0 11.8 11.7 13.9 16.3 17.9 21.0 23.3 18.1 233
1929 24.2 24.1 21.4 17.4 14.1 11.4 10.1 12.5 14.5 17.9 20.2 22.0 17.5 235
1930 23.4 24.4 21.8 18.0 15.1 12.6 12.4 12.7 14.8 18.5 20.7 22.4 18.1 233
1931 23.4 23.2 21.5 17.7 15.2 12.5 11.4 12.7 15.2 17.2 19.9 22.6 17.7 237
1932 25.4 23.2 21.7 18.2 15.3 11.8 11.0 12.5 15.0 17.1 20.8 22.3 17.9 238
1933 23.4 23.2 22.3 18.3 14.8 12.6 11.6 11.5 15.0 18.2 19.9 21.9 17.7 239
1934 23.9 23.3 22.6 17.9 15.5 11.8 12.0 12.7 15.4 17.1 20.1 22.0 17.9 239
1935 23.4 23.3 21.2 17.7 14.1 11.6 11.4 13.0 14.8 18.1 20.6 22.7 17.7 241
1936 23.6 23.2 21.5 17.4 14.8 11.4 11.9 13.5 14.8 18.1 20.6 22.8 17.8 245
1937 23.1 23.1 21.5 17.4 14.8 11.4 11.2 13.1 15.4 18.9 21.4 23.2 17.9 244
1938 23.8 23.1 22.6 19.3 16.4 12.2 11.3 12.4 15.4 18.9 21.7 23.3 18.4 258
1939 25.4 24.3 21.7 18.7 16.1 12.4 10.8 12.1 14.5 17.4 20.1 22.4 18.0 271
1940 24.2 23.3 23.1 18.1 14.2 12.7 11.6 13.2 15.8 19.3 20.6 23.5 18.3 270
1941 22.5 22.8 20.8 18.9 15.1 12.5 11.9 12.4 15.6 17.8 21.5 23.3 17.9 277
1942 24.8 23.0 22.4 19.0 16.1 13.4 12.1 13.7 15.7 17.9 21.0 22.9 18.5 280
1943 23.6 23.4 22.9 18.1 14.6 11.5 11.1 11.8 15.2 18.1 20.1 22.6 17.8 284
1944 24.7 23.1 21.6 17.2 13.9 12.2 11.8 12.8 16.0 18.5 22.1 22.8 18.1 287
1945 23.9 23.2 21.2 18.7 15.1 13.9 11.3 13.8 15.1 17.8 21.0 23.4 18.2 291
1946 24.6 23.5 20.7 17.4 15.2 11.2 12.1 12.9 15.1 17.5 21.4 23.2 17.9 293
1947 24.8 24.0 22.0 18.2 16.2 13.1 11.9 12.9 15.2 17.5 19.8 22.3 18.2 296
1948 22.8 24.3 21.2 17.7 14.4 12.3 11.3 13.3 15.4 17.9 20.3 22.7 17.8 297
1949 23.1 22.5 21.5 17.5 14.5 11.4 11.9 13.1 15.2 18.4 20.1 22.6 17.6 304
1950 23.6 22.9 21.9 18.6 15.6 12.5 12.8 12.9 16.0 17.8 20.1 22.9 18.1 312
1951 23.7 23.7 22.9 17.6 14.8 13.3 11.7 12.0 16.0 18.1 21.0 23.0 18.2 320
1952 24.7 23.4 22.2 18.4 14.9 12.7 11.6 13.0 15.5 17.9 19.9 22.3 18.0 327
1953 23.2 22.6 22.5 19.6 15.1 12.4 11.8 12.2 15.3 18.0 20.4 23.3 18.0 330
1954 23.8 22.7 21.7 19.1 14.9 12.4 12.3 13.5 15.5 18.4 20.6 22.9 18.1 330
1955 24.1 24.0 22.3 18.9 14.7 12.8 11.7 13.5 16.0 18.3 19.8 22.1 18.2 338
1956 23.5 24.2 22.5 18.5 14.9 12.1 11.7 11.9 14.5 17.1 19.6 22.3 17.7 337
1957 23.7 23.5 21.6 19.6 15.7 15.1 11.5 13.8 15.8 19.2 21.8 23.9 18.8 235
1958 23.8 24.1 22.5 20.0 17.6 13.6 12.7 14.0 15.0 18.4 21.7 22.7 18.8 235
1959 24.7 24.0 22.9 19.8 15.8 14.0 13.1 14.3 16.3 18.6 22.4 22.4 19.0 242
1960 24.7 23.5 22.2 19.0 14.4 12.7 12.6 12.8 15.8 19.2 20.3 23.3 18.4 242
1961 24.7 24.0 22.5 19.8 15.7 13.6 12.3 13.4 16.8 20.0 21.5 23.4 19.0 246
1962 24.1 23.6 22.0 19.1 15.3 14.6 13.0 13.3 15.9 18.0 21.5 22.6 18.6 285
1963 23.5 23.5 22.5 18.6 16.1 13.1 12.0 13.6 16.0 19.1 20.8 23.0 18.5 282
1964 23.6 23.0 22.1 19.2 15.5 13.6 13.0 13.7 16.3 17.4 20.6 21.4 18.3 284
1965 23.1 24.1 21.9 18.2 15.6 13.0 11.2 13.5 16.6 19.3 20.5 23.3 18.4 411
1966 23.8 23.3 22.0 18.8 14.8 12.7 11.5 12.7 15.3 17.5 20.8 22.0 17.9 430
1967 23.6 23.6 21.0 19.4 15.7 13.9 11.8 12.5 15.3 19.6 21.0 22.0 18.3 442
1968 24.3 24.3 22.5 19.7 14.5 12.8 11.5 12.6 14.9 18.2 20.6 21.9 18.1 456
1969 24.9 24.0 22.0 18.8 15.5 12.7 12.8 14.0 14.0 18.9 20.7 22.2 18.4 472
1970 23.4 23.9 21.7 19.1 14.9 13.5 12.1 12.9 14.7 18.5 20.3 22.7 18.1 488
1971 23.9 23.9 22.5 18.9 14.9 12.3 11.6 13.2 15.5 18.1 19.5 22.3 18.1 489
1972 23.1 23.6 21.4 18.7 15.7 13.0 11.9 13.7 16.3 18.4 20.9 24.2 18.4 496
1973 25.1 23.9 21.9 19.6 16.5 13.1 13.4 13.7 15.9 18.8 20.6 23.1 18.8 492
1974 24.0 23.1 22.8 19.0 15.7 12.7 12.2 13.1 14.8 17.6 19.5 22.3 18.1 494
1975 23.0 23.8 21.4 18.5 16.0 12.9 13.7 13.3 16.4 17.6 21.1 23.2 18.4 498
1976 23.1 23.7 22.2 18.7 15.4 13.0 12.4 13.0 15.2 17.4 20.3 23.2 18.1 462
1977 24.0 24.5 21.9 18.8 15.6 12.7 11.9 14.3 15.2 19.4 21.5 23.6 18.6 459
1978 24.1 24.2 23.0 19.2 16.3 12.9 12.0 12.9 15.2 18.0 20.6 22.1 18.4 461
1979 25.2 24.1 22.5 18.9 14.9 14.0 12.5 13.3 16.0 18.8 22.0 24.2 18.9 459
1980 24.1 24.0 22.8 19.8 16.9 13.5 12.5 14.4 17.2 19.2 22.2 23.6 19.2 463
1981 25.3 24.6 21.8 20.4 16.1 12.9 12.8 13.5 17.2 18.7 20.4 23.3 18.9 464
1982 24.9 24.3 22.2 19.1 15.7 11.8 11.2 14.7 15.6 18.2 22.3 23.6 18.6 464
1983 24.0 25.5 23.1 18.2 16.4 13.1 11.8 14.0 16.7 18.8 20.5 22.7 18.7 470
1984 22.9 23.4 21.0 18.9 15.7 13.4 11.7 13.4 14.6 18.3 21.1 22.2 18.1 466
1985 23.9 24.0 23.0 19.2 16.0 12.6 12.2 13.5 15.4 18.3 21.1 22.6 18.5 468
1986 24.1 24.0 23.3 20.0 16.6 13.5 12.6 13.3 16.8 18.6 21.4 23.0 18.9 463
1987 24.3 24.2 22.1 20.4 16.6 14.8 13.1 14.5 16.8 19.2 21.9 23.6 19.3 351
1988 25.4 24.1 23.2 20.5 17.6 14.6 14.0 14.8 17.6 21.0 21.6 23.7 19.8 327
1989 24.2 24.6 23.1 20.4 17.4 13.3 12.7 13.2 16.7 19.5 21.7 23.5 19.2 320
1990 24.9 24.1 23.5 20.2 17.1 13.7 13.4 13.7 16.5 19.0 22.2 24.2 19.4 419
1991 24.7 24.4 22.3 19.4 16.3 14.9 12.6 13.5 15.8 19.7 20.7 22.6 18.9 456
1992 23.3 23.5 22.5 19.4 15.8 13.0 12.7 13.1 14.8 17.9 21.0 22.6 18.3 446
1993 24.3 23.7 22.0 19.8 16.6 13.4 14.0 14.5 16.3 17.9 21.2 22.7 18.9  48
1994 24.4 23.8 22.0 19.8 16.9  8.9 13.5 14.0 16.4 19.4 21.3 23.7 18.7  46
1995 23.4 23.1 21.6 18.6 16.1 13.9 13.0 14.9 16.2 18.4 20.8 21.7 18.5  45
1996 23.2 23.2 20.2 18.9 16.5 14.7 13.3 14.2 16.4 18.8 20.4 21.9 18.5  45
1997 23.1 23.8 21.1 19.2 15.9 13.6 12.4 13.6 16.4 18.7 20.9 22.7 18.4  45
1998 23.7 23.7 22.6 19.4 17.0 14.0 12.7 14.9 17.0 18.6 20.4 22.5 18.9  45
1999 24.0 23.4 22.0 18.4 16.9 13.9 13.4 14.5 16.8 18.6 19.3 21.7 18.6  46
2000 22.7 23.5 21.5 19.2 15.5 13.2 13.3 13.9 17.5 18.6 21.1 22.7 18.6  47
2001 24.5 23.7 22.2 20.0 16.3 14.6 13.5 14.1 17.3 18.4 20.4 21.9 18.9  45
2002 23.5 23.0 22.2 20.7 17.4 14.4 13.7 14.4 17.2 19.7 21.8 23.2 19.3  46
2003 24.5 24.2 22.1 20.4 17.5 14.9 13.9 14.7 17.3 18.7 21.6 23.6 19.5  45
2004 23.9 24.3 22.8 20.6 16.5 14.8 13.5 14.4 16.7 20.1 21.5 23.2 19.4  45
2005 24.3 24.0 23.3 21.6 17.6 14.9 14.2 14.7 17.3 19.8 21.8 23.1 19.7  57
2006 24.1 23.5 22.6 18.4 15.3 12.7 13.0 14.8 17.2 19.5 21.6 22.4 18.8  57
2007 23.8 24.5 22.5 19.9 17.7 12.6 12.9 14.9 17.0 19.5 21.6 22.7 19.1  58
2008 25.2 23.7 23.1 19.5 17.0 15.5 13.7 14.0 18.0 21.0 21.4 23.1 19.6  65
     23.9 23.7 22.0 18.8 15.4 12.8 12.0 13.2 15.6 18.3 20.8 22.8 18.3
     23.7 23.5 21.8 18.6 15.3 12.6 11.8 13.0 15.5 18.1 20.7 22.6 18.1
 
For Country Code 501

After:


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 23.3 23.3 20.9 16.8 13.1 10.0  8.8 11.8 14.0 15.3 19.3 22.2 16.6  20
1881 23.2 22.7 20.6 17.0 13.9  9.5  9.5 11.4 13.7 16.3 19.2 22.8 16.6  25
1882 24.8 23.2 22.2 17.9 14.7 11.0 10.8 12.5 15.4 18.0 20.8 22.0 17.8  27
1883 23.3 22.5 20.9 18.0 13.8 12.6 10.5 12.3 13.7 16.8 19.7 22.2 17.2  28
1884 22.4 23.2 21.3 17.7 13.6 11.6 10.5 12.8 14.6 17.2 19.8 20.6 17.1  28
1885 23.1 22.5 20.2 17.2 14.4 10.7 10.3 12.3 14.7 18.7 20.1 23.4 17.3  29
1886 24.3 22.3 20.6 17.8 13.2 10.9 10.8 11.7 14.8 15.7 20.2 21.9 17.0  29
1887 24.5 22.5 21.6 18.0 13.3 10.8 10.7 12.0 13.5 17.0 19.1 22.3 17.1  32
1888 24.1 23.3 20.7 18.9 14.6 12.9 11.5 12.6 15.9 18.4 22.6 24.1 18.3  35
1889 24.5 24.5 22.7 18.8 15.4 12.1 11.0 12.5 14.8 18.8 21.5 23.8 18.4  37
1890 24.9 23.8 22.4 18.5 15.2 13.4 10.8 12.7 15.5 18.0 20.2 22.0 18.1  37
1891 22.7 22.4 21.9 17.6 14.9 12.1 10.9 12.3 14.5 17.6 20.6 22.5 17.5  39
1892 23.7 24.0 23.0 17.4 14.5 12.1 11.1 13.0 15.1 17.9 21.1 22.0 17.9  40
1893 23.5 23.7 22.2 17.8 15.0 11.7 11.4 13.0 15.0 18.9 20.6 22.9 18.0  40
1894 24.0 22.8 21.9 18.4 13.7 12.0 10.4 12.1 13.9 18.3 21.7 22.9 17.7  43
1895 22.7 23.0 21.3 18.0 13.5 11.5  9.7 12.7 14.5 18.9 20.3 22.8 17.4  46
1896 24.8 23.1 21.3 17.3 13.5 10.5  9.4 11.0 13.8 19.0 20.5 23.2 17.3  47
1897 22.7 22.7 19.7 18.3 13.4 12.2 11.5 11.3 14.5 16.3 21.0 23.2 17.2  55
1898 24.4 24.4 21.5 17.4 13.3 11.7 11.1 13.0 15.1 18.0 20.1 23.0 17.8  63
1899 21.8 24.5 21.7 18.2 13.6 11.6 10.2 12.1 15.3 16.4 20.1 23.6 17.4  68
1900 23.6 24.3 20.5 16.6 13.6 12.3 10.2 11.4 13.3 17.4 20.5 22.5 17.2  76
1901 22.6 23.5 20.9 17.6 14.8 10.7 10.0 11.8 15.3 17.0 21.5 22.7 17.4  83
1902 22.5 22.1 21.1 18.3 14.6 11.6 11.0 11.7 14.5 17.2 20.9 21.4 17.2  86
1903 23.1 22.4 21.0 17.0 13.6 11.2 10.3 11.6 13.9 16.7 19.5 20.9 16.8  94
1904 22.5 21.9 20.2 18.6 14.3 11.3 10.6 11.9 13.3 16.5 19.7 22.4 16.9  95
1905 23.6 21.9 20.7 18.1 14.7 11.4 10.4 11.2 12.2 14.8 19.2 22.1 16.7  98
1906 24.5 24.4 20.8 18.8 14.9 12.7 11.1 11.7 13.4 16.9 18.2 22.2 17.5  99
1907 23.4 23.2 20.8 17.7 14.8 12.1 10.9 12.6 15.3 18.1 20.3 22.4 17.6 170
1908 25.3 23.3 21.0 18.4 14.5 10.3 10.8 11.9 14.0 17.4 21.6 23.5 17.7 185
1909 23.0 22.4 21.2 16.7 14.1 12.2 10.4 12.3 14.5 17.9 20.4 21.8 17.2 190
1910 23.8 23.7 21.2 18.8 15.1 12.4 11.2 13.1 15.9 16.8 20.0 21.8 17.8 198
1911 23.0 22.5 20.7 17.2 14.5 10.8 11.1 12.8 15.3 17.7 21.6 22.5 17.5 202
1912 24.0 24.8 22.1 17.9 14.4 12.4 11.3 12.8 14.7 17.8 20.3 22.8 17.9 207
1913 23.7 23.8 20.8 18.9 13.8 11.6 11.6 12.2 14.8 18.5 20.3 23.6 17.8 221
1914 24.5 24.5 22.4 18.9 15.2 12.6 10.9 13.5 15.7 19.5 22.7 24.0 18.7 226
1915 23.8 25.0 22.2 18.9 14.3 12.6 12.4 12.6 15.9 17.5 20.9 22.7 18.2 230
1916 24.3 24.0 21.8 17.8 14.9 12.3 11.3 12.3 15.7 17.1 18.5 22.0 17.7 232
1917 23.5 21.6 20.7 17.0 13.1 11.5 11.6 12.3 14.9 17.4 19.4 22.4 17.1 232
1918 23.2 22.6 20.7 18.0 14.9 12.3 10.4 12.8 15.1 17.4 20.8 23.0 17.6 232
1919 24.1 24.2 21.4 19.2 15.6 12.7 11.1 12.3 15.3 18.3 21.8 23.6 18.3 233
1920 23.2 23.5 20.9 17.9 14.2 12.4 11.5 12.2 15.0 18.1 21.1 22.6 17.7 234
1921 23.7 24.0 21.2 18.4 16.0 13.3 12.6 11.7 15.5 17.0 21.4 22.5 18.1 235
1922 22.8 23.5 21.2 19.3 14.5 12.0 10.8 11.7 14.8 18.2 21.2 22.6 17.7 238
1923 23.3 24.4 22.3 19.2 15.7 12.1 11.0 11.9 14.4 17.5 19.5 23.4 17.9 237
1924 22.9 22.5 21.0 17.0 14.4 11.6 11.8 12.6 15.3 17.5 19.8 21.3 17.3 237
1925 22.4 22.9 20.9 18.2 14.7 12.4 10.3 11.6 13.6 17.5 20.8 23.0 17.4 241
1926 23.3 24.8 22.1 18.6 13.9 12.3 11.9 12.7 15.4 18.3 20.8 22.0 18.0 246
1927 23.6 22.7 21.1 17.7 13.8 11.6 10.8 11.9 14.8 18.3 21.4 22.2 17.5 245
1928 23.0 23.4 21.9 19.1 13.8 11.6 11.5 13.7 16.2 17.7 21.0 23.3 18.0 245
1929 24.2 24.1 21.3 17.2 13.9 11.2  9.8 12.2 14.3 17.7 20.0 21.9 17.3 245
1930 23.4 24.4 21.8 17.8 14.9 12.5 12.2 12.5 14.6 18.3 20.6 22.4 18.0 244
1931 23.3 23.1 21.4 17.5 15.0 12.2 11.2 12.4 14.9 17.0 19.8 22.6 17.5 247
1932 25.4 23.1 21.6 18.0 15.1 11.5 10.8 12.3 14.9 16.9 20.7 22.2 17.7 247
1933 23.3 23.2 22.2 18.1 14.6 12.4 11.4 11.3 14.8 18.1 19.8 21.8 17.6 248
1934 23.8 23.3 22.5 17.7 15.3 11.6 11.7 12.5 15.1 16.9 19.9 21.9 17.7 247
1935 23.3 23.2 21.1 17.5 13.9 11.4 11.1 12.8 14.6 17.9 20.5 22.6 17.5 248
1936 23.6 23.2 21.5 17.3 14.7 11.2 11.7 13.4 14.7 18.0 20.6 22.8 17.7 250
1937 23.1 23.2 21.5 17.3 14.6 11.3 11.0 12.9 15.3 18.8 21.3 23.2 17.8 252
1938 23.7 23.1 22.6 19.1 16.2 12.0 11.1 12.2 15.2 18.8 21.6 23.3 18.2 266
1939 25.5 24.4 21.7 18.6 15.9 12.2 10.6 11.9 14.3 17.3 20.0 22.4 17.9 279
1940 24.3 23.4 23.1 18.0 14.1 12.5 11.5 13.0 15.6 19.3 20.6 23.6 18.3 283
1941 22.6 22.8 20.8 18.8 14.9 12.3 11.7 12.2 15.4 17.7 21.5 23.3 17.8 289
1942 24.8 23.0 22.2 18.9 15.9 13.2 11.8 13.5 15.5 17.7 20.8 22.8 18.3 293
1943 23.5 23.4 22.7 17.8 14.4 11.2 10.9 11.6 15.0 17.9 20.0 22.5 17.6 297
1944 24.6 23.1 21.5 17.1 13.8 11.9 11.6 12.6 15.8 18.4 22.0 22.8 17.9 300
1945 23.9 23.2 21.2 18.5 14.9 13.7 11.1 13.6 14.8 17.6 20.9 23.4 18.1 304
1946 24.6 23.5 20.6 17.3 15.1 11.0 11.9 12.7 15.0 17.3 21.3 23.2 17.8 307
1947 24.8 24.0 21.9 18.1 16.0 12.8 11.6 12.6 15.0 17.3 19.7 22.2 18.0 311
1948 22.7 24.2 21.0 17.7 14.2 12.2 11.1 13.1 15.3 17.9 20.3 22.8 17.7 315
1949 23.2 22.6 21.6 17.4 14.4 11.2 11.7 12.9 15.1 18.3 20.1 22.7 17.6 325
1950 23.6 22.9 21.9 18.6 15.4 12.3 12.7 12.7 15.8 17.7 20.0 22.9 18.0 330
1951 23.6 23.7 22.9 17.3 14.5 13.0 11.4 11.6 15.8 17.9 20.8 22.9 17.9 340
1952 24.7 23.3 22.1 18.1 14.5 12.4 11.2 12.6 15.1 17.7 19.7 22.2 17.8 344
1953 23.2 22.6 22.3 19.4 14.8 12.0 11.5 11.9 15.0 17.8 20.2 23.2 17.8 346
1954 23.8 22.7 21.5 18.9 14.6 12.1 11.9 13.1 15.1 18.1 20.4 22.7 17.9 347
1955 24.1 23.9 22.2 18.7 14.4 12.5 11.3 13.1 15.7 18.1 19.6 21.9 18.0 354
1956 23.3 24.2 22.4 18.3 14.6 11.8 11.5 11.6 14.1 16.8 19.3 22.1 17.5 357
1957 23.7 23.5 21.5 19.5 15.5 15.1 11.4 13.6 15.6 19.0 21.7 23.9 18.7 370
1958 23.9 24.1 22.5 19.8 17.5 13.5 12.4 13.8 14.7 18.2 21.6 22.6 18.7 371
1959 24.7 23.9 22.8 19.6 15.6 13.7 12.9 14.1 16.0 18.4 22.3 22.3 18.9 374
1960 24.7 23.4 22.1 18.7 14.2 12.4 12.3 12.5 15.5 19.0 20.1 23.2 18.2 374
1961 24.8 24.0 22.4 19.5 15.4 13.3 12.0 13.1 16.5 19.9 21.4 23.3 18.8 377
1962 24.0 23.4 21.8 18.8 15.0 14.3 12.6 12.9 15.5 17.5 21.2 22.3 18.3 396
1963 23.2 23.3 22.2 18.3 15.7 12.8 11.6 13.3 15.6 18.9 20.6 22.9 18.2 398
1964 23.4 22.8 21.8 18.9 15.2 13.3 12.5 13.3 15.9 17.0 20.3 21.1 18.0 399
1965 22.8 23.9 21.7 17.8 15.2 12.5 10.8 13.1 16.2 19.0 20.2 23.1 18.0 428
1966 23.7 23.1 21.7 18.4 14.4 12.2 11.1 12.3 14.9 17.2 20.5 21.8 17.6 449
1967 23.4 23.5 20.7 19.0 15.2 13.6 11.4 12.0 14.8 19.2 20.7 21.7 17.9 462
1968 24.1 24.2 22.2 19.4 14.0 12.3 11.1 12.1 14.4 17.7 20.2 21.6 17.8 470
1969 24.7 23.8 21.8 18.5 15.0 12.3 12.4 13.6 13.5 18.6 20.4 21.9 18.0 484
1970 23.1 23.7 21.4 18.8 14.5 13.0 11.6 12.4 14.3 18.1 20.0 22.4 17.8 500
1971 23.6 23.7 22.3 18.6 14.5 11.9 11.1 12.6 15.0 17.7 19.1 22.0 17.7 500
1972 22.9 23.3 21.1 18.2 15.4 12.6 11.4 13.3 16.0 18.1 20.6 23.9 18.1 506
1973 25.0 23.7 21.7 19.3 16.0 12.6 13.0 13.2 15.6 18.5 20.3 22.9 18.5 508
1974 23.9 22.9 22.6 18.8 15.3 12.4 11.8 12.7 14.3 17.1 19.0 22.0 17.7 512
1975 22.7 23.7 21.1 18.0 15.6 12.6 13.2 12.8 15.9 17.2 20.8 23.0 18.0 515
1976 23.0 23.7 22.1 18.4 15.0 12.7 12.0 12.6 14.8 17.0 19.9 23.0 17.9 485
1977 23.9 24.4 21.6 18.4 15.2 12.4 11.5 13.8 14.7 19.1 21.2 23.4 18.3 482
1978 23.9 24.0 22.7 18.9 16.0 12.5 11.6 12.5 14.8 17.7 20.2 21.8 18.1 482
1979 25.1 23.9 22.2 18.5 14.6 13.6 12.0 12.9 15.6 18.4 21.7 24.0 18.5 480
1980 23.9 23.8 22.6 19.4 16.6 13.1 12.1 14.1 16.8 18.9 21.9 23.4 18.9 483
1981 25.3 24.5 21.6 20.2 15.8 12.6 12.5 13.2 16.9 18.6 20.1 23.1 18.7 482
1982 24.8 24.3 22.1 19.0 15.5 11.6 11.0 14.6 15.4 18.1 22.3 23.6 18.5 481
1983 24.0 25.6 23.1 18.1 16.3 12.9 11.6 13.8 16.5 18.7 20.4 22.6 18.6 483
1984 22.8 23.3 20.9 18.7 15.5 13.1 11.5 13.2 14.4 18.1 21.0 22.1 17.9 481
1985 23.8 23.9 22.9 19.1 15.8 12.3 12.0 13.3 15.2 18.1 20.9 22.3 18.3 477
1986 23.9 24.0 23.2 19.8 16.4 13.3 12.3 13.0 16.6 18.4 21.3 23.0 18.8 474
1987 24.3 24.2 22.0 20.2 16.5 14.6 12.8 14.4 16.9 19.1 21.9 23.6 19.2 464
1988 25.5 24.0 23.0 20.3 17.4 14.4 13.8 14.6 17.4 20.8 21.5 23.8 19.7 461
1989 24.1 24.6 23.2 20.4 17.3 13.1 12.5 13.0 16.7 19.4 21.7 23.6 19.1 459
1990 24.9 24.1 23.5 20.1 17.0 13.5 13.2 13.4 16.4 18.8 22.1 24.1 19.3 459
1991 24.8 24.4 22.2 19.2 16.2 14.7 12.5 13.3 15.7 19.6 20.7 22.5 18.8 456
1992 23.3 23.5 22.6 19.4 15.7 12.8 12.5 13.0 14.7 17.8 21.5 22.8 18.3 446
1993 24.6 23.9 22.6 20.3 16.7 13.9 14.4 15.0 16.8 18.7 21.5 22.8 19.3  69
1994 24.5 23.9 22.1 20.0 17.0 10.4 13.7 14.1 16.6 19.6 21.5 23.9 18.9  68
1995 24.1 23.8 22.2 19.2 16.6 14.4 13.3 15.4 16.8 19.1 21.5 22.4 19.1  68
1996 23.9 23.9 21.2 19.5 17.0 15.2 13.8 14.6 16.9 19.4 21.0 22.5 19.1  67
1997 23.8 24.5 21.8 19.8 16.4 14.0 12.7 14.1 17.0 19.4 21.7 23.4 19.0  67
1998 24.5 24.5 23.3 20.0 17.6 14.4 13.1 15.4 17.5 19.3 21.0 23.2 19.5  67
1999 24.7 24.1 22.7 19.1 17.4 14.4 13.8 15.0 17.4 19.4 20.0 22.4 19.2  67
2000 23.4 24.2 22.3 19.9 16.0 13.7 13.7 14.5 18.0 19.3 21.9 23.4 19.2  67
2001 25.2 24.5 22.5 20.3 16.5 14.8 13.7 14.4 17.6 18.7 21.0 22.6 19.3  66
2002 24.1 23.7 22.9 21.0 17.7 14.6 13.9 14.6 17.5 20.1 22.5 24.0 19.7  66
2003 24.9 24.6 22.4 20.4 17.5 14.9 13.9 14.7 17.3 18.7 21.9 23.9 19.6  65
2004 24.2 24.7 22.7 20.6 16.5 14.8 13.5 14.4 16.6 20.5 21.8 23.6 19.5  65
2005 24.7 24.3 23.2 21.6 17.6 14.9 14.2 14.7 17.2 20.1 22.2 23.4 19.8  65
2006 24.1 23.5 22.5 18.4 15.3 12.7 12.9 14.8 17.2 19.4 21.6 22.4 18.7  65
2007 23.8 24.5 22.5 19.9 17.6 12.6 12.9 14.9 16.9 19.5 21.6 22.7 19.1  65
2008 25.6 24.1 23.5 19.8 17.2 15.5 13.7 14.0 17.9 21.0 21.4 23.0 19.7  65
     23.8 23.6 21.9 18.6 15.2 12.5 11.7 12.9 15.3 18.1 20.7 22.7 18.1
     23.8 23.6 21.8 18.6 15.1 12.5 11.6 12.9 15.3 18.1 20.7 22.7 18.1
 
From Ts File for Country Code 501
[chiefio@tubularbells analysis]$ 

Europe

Where we see a very strong shortening of history along with a drift southward.

Before:

       Year SP  35    40    45    50    55    60    65    70    75   -NP
DecPct: 1709   0.0   0.0   0.0   0.0 100.0   0.0   0.0   0.0   0.0   0.0 100.0
DecPct: 1719   0.0   0.0   0.0   0.0 100.0   0.0   0.0   0.0   0.0   0.0 100.0
DecPct: 1729   0.0   0.0   0.0   0.0 100.0   0.0   0.0   0.0   0.0   0.0 100.0
DecPct: 1739   0.0   0.0   0.0   0.0  95.2   4.8   0.0   0.0   0.0   0.0 100.0
DecPct: 1749   0.0   0.0   0.0   0.0  60.6  39.4   0.0   0.0   0.0   0.0 100.0
DecPct: 1759   0.0   0.0   0.0  27.5  26.2  33.8  12.5   0.0   0.0   0.0 100.0
DecPct: 1769   0.0   0.0   0.0  34.0  32.7  25.9   7.5   0.0   0.0   0.0 100.0
DecPct: 1779   0.0   0.0   0.0  36.4  36.8  20.1   6.7   0.0   0.0   0.0 100.0
DecPct: 1789   0.0   0.0   1.3  47.4  28.1  17.4   5.8   0.0   0.0   0.0 100.0
DecPct: 1799   0.0   2.8   0.0  49.5  28.9  15.7   3.1   0.0   0.0   0.0 100.0
DecPct: 1809   0.0   2.5   1.5  48.0  23.8  17.2   4.9   2.2   0.0   0.0 100.0
DecPct: 1819   0.0   1.8   5.8  44.5  24.5  14.7   6.4   2.4   0.0   0.0 100.0
DecPct: 1829   0.0   1.2   5.1  39.6  30.8  14.3   6.5   2.4   0.1   0.0 100.0
DecPct: 1839   0.0   1.0   5.4  33.1  38.2  14.0   6.4   1.8   0.2   0.0 100.0
DecPct: 1849   0.3   1.1   8.4  31.5  35.9  15.7   5.7   0.4   1.1   0.0 100.0
DecPct: 1859   0.0   3.1   9.7  32.0  35.1  13.4   4.3   1.0   1.4   0.0 100.0
DecPct: 1869   1.3   5.8  11.0  27.5  31.1  14.3   5.6   2.7   0.9   0.0 100.0
DecPct: 1879   1.8   7.3  12.7  24.9  24.8  15.4   7.2   5.1   0.7   0.0 100.0
DecPct: 1889   3.0   5.7  14.0  25.2  23.1  16.1   7.7   4.3   0.9   0.0 100.0
DecPct: 1899   2.6   5.0  14.5  24.5  24.6  16.9   7.6   3.6   0.8   0.0 100.0
DecPct: 1909   2.9   6.9  12.0  23.6  24.6  17.4   7.9   3.6   1.1   0.0 100.0
DecPct: 1919   2.1   5.9  11.4  24.2  24.9  15.6   9.2   4.9   1.1   0.6 100.0
DecPct: 1929   2.5   5.9  12.2  23.3  24.9  14.9   8.5   5.7   1.5   0.7 100.0
DecPct: 1939   2.4   6.5  13.5  21.7  23.1  15.7  10.3   5.0   1.2   0.6 100.0
DecPct: 1949   1.8   7.2  15.3  21.7  21.7  15.8  10.5   4.5   1.1   0.4 100.0
DecPct: 1959   3.0   9.5  16.9  23.3  25.2  10.0   8.0   3.2   0.8   0.2 100.0
DecPct: 1969   2.5  18.2  19.9  19.5  21.5   8.1   6.8   2.7   0.6   0.2 100.0
DecPct: 1979   2.5  21.6  21.8  18.8  18.6   7.2   6.4   2.2   0.6   0.2 100.0
DecPct: 1989   2.0  22.0  19.6  19.6  19.3   7.8   6.4   2.4   0.6   0.2 100.0
DecPct: 1999   3.5  20.4  18.6  20.6  17.6   7.5   7.3   3.1   1.0   0.3 100.0
DecPct: 2009   3.1  18.5  16.8  21.9  19.8   7.2   7.8   3.4   1.0   0.3 100.0
 
For COUNTRY CODE: 6

After:

       Year SP  35    40    45    50    55    60    65    70    75    NP
DtsPct: 1889   2.5   6.5  13.7  24.9  23.2  15.5   7.1   5.2   1.4   0.0 100.0
DtsPct: 1899   2.3   6.7  14.4  24.0  23.8  15.8   7.1   4.6   1.3   0.0 100.0
DtsPct: 1909   2.4   8.1  15.1  22.3  23.3  15.2   7.4   4.5   1.6   0.0 100.0
DtsPct: 1919   1.6   7.9  14.9  22.9  23.5  13.6   8.3   5.3   1.6   0.3 100.0
DtsPct: 1929   2.2   8.0  15.1  22.4  22.8  12.8   8.5   5.9   1.8   0.4 100.0
DtsPct: 1939   2.2   8.9  16.2  21.0  22.9  12.6   8.9   5.5   1.5   0.4 100.0
DtsPct: 1949   2.5   8.9  17.9  21.7  21.5  12.4   8.6   5.2   1.1   0.3 100.0
DtsPct: 1959   3.2  11.2  20.8  22.3  24.6   8.0   6.1   3.0   0.7   0.2 100.0
DtsPct: 1969   2.4  22.4  25.2  17.1  18.9   5.9   5.0   2.4   0.5   0.1 100.0
DtsPct: 1979   2.2  27.8  26.6  15.6  15.8   4.6   4.5   2.1   0.6   0.2 100.0
DtsPct: 1989   1.8  28.9  23.7  16.5  17.1   4.8   4.5   2.1   0.5   0.2 100.0
DtsPct: 1999   3.0  21.4  20.4  19.4  17.7   7.1   7.0   3.0   0.7   0.2 100.0
DtsPct: 2009   3.0  20.0  17.8  20.3  19.0   7.1   8.0   3.5   0.9   0.3 100.0
 
From TS file For COUNTRY CODE: 6
[chiefio@tubularbells analysis]$ 

South America

Where not much seems to happen. There is a general “flattening” of the locations and the odd things that happen in the early 1900s in -40 and in 1959 with the squashing of the -15 band. Is it a good idea or a bad idea?…

Before:

[chiefio@tubularbells analysis]$ cat Lats/Therm.by.lat3.Dec.LAT Lats/Therm.by.tslat3.Dec.LAT 
       Year SP -50   -40   -35   -30   -25   -20   -15   -10    10   -NP
DecPct: 1849   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0 100.0   0.0 100.0
DecPct: 1859   0.0   0.0   0.0  28.6   0.0   0.0   0.0   0.0  71.4   0.0 100.0
DecPct: 1869   0.0   0.0  34.5  65.5   0.0   0.0   0.0   0.0   0.0   0.0 100.0
DecPct: 1879   0.0   0.0  20.4  55.1   6.1  18.4   0.0   0.0   0.0   0.0 100.0
DecPct: 1889   2.6   0.0   5.2  48.1  19.5  20.8   0.0   0.0   3.9   0.0 100.0
DecPct: 1899   9.1   0.0   3.0  24.2  16.4  21.2   0.0   0.0  20.6   5.5 100.0
DecPct: 1909  19.6   6.6   5.3  18.0  11.4  18.3   4.8   0.0  13.3   2.7 100.0
DecPct: 1919  19.1   8.5   4.3  16.8   9.8  18.1   4.7   1.7  14.9   2.1 100.0
DecPct: 1929  17.8   8.1   4.0  16.2  10.1  17.8   6.1   2.0  16.0   2.0 100.0
DecPct: 1939  10.9   8.3  13.3  21.1  14.0   9.2   5.1   3.3  13.8   1.1 100.0
DecPct: 1949   8.9   6.1  12.6  19.7  17.9   8.4   5.8   3.2  16.7   0.8 100.0
DecPct: 1959   4.9   4.6   7.8  17.6  12.1   8.7  10.0   5.9  23.5   4.9 100.0
DecPct: 1969   4.6   5.3   4.6  14.6  11.2   9.2   8.3   8.5  29.4   4.4 100.0
DecPct: 1979   4.5   5.2   4.9  13.5  11.7   9.7   8.3   7.9  29.9   4.6 100.0
DecPct: 1989   4.6   5.9   5.4  14.9  11.4   9.5   9.3   6.8  27.7   4.5 100.0
DecPct: 1999   4.2   7.1   6.0  17.0  12.0   8.4   5.9   4.5  28.9   5.9 100.0
DecPct: 2009   3.5   6.9   6.1  18.3  12.3   8.1   5.9   4.0  28.5   6.5 100.0
 
For COUNTRY CODE: 3

After:


       Year SP -50   -40   -35   -30   -25   -20   -15   -10    10    NP
DtsPct: 1889   2.5   0.0  12.5  46.2  18.8  16.2   0.0   0.0   3.8   0.0 100.0
DtsPct: 1899  10.0   0.0   7.3  26.7  18.0  16.7   0.0   0.0  15.3   6.0 100.0
DtsPct: 1909  14.0  11.3   6.6  17.6  15.0  16.3   6.0   0.0  10.0   3.3 100.0
DtsPct: 1919  12.6  12.6   5.0  15.1  12.6  14.9   5.5   2.0  17.1   2.5 100.0
DtsPct: 1929  11.5  12.0   4.8  14.4  12.0  14.4   7.2   2.4  19.1   2.4 100.0
DtsPct: 1939   7.7  10.8  14.5  19.6  14.9   9.3   4.4   3.5  14.2   1.1 100.0
DtsPct: 1949   6.3   8.7  13.7  18.4  16.8   9.5   5.4   3.6  16.7   0.9 100.0
DtsPct: 1959   3.0   6.8   9.7  18.3  12.2   7.8   8.6   6.2  23.3   4.1 100.0
DtsPct: 1969   2.8   6.5   6.3  14.8   9.9   8.2   7.9   7.0  32.2   4.4 100.0
DtsPct: 1979   3.1   6.1   4.7  13.3   9.6   8.4   7.6   7.2  35.4   4.4 100.0
DtsPct: 1989   3.8   6.6   5.2  15.1   9.6   9.2   9.2   6.1  30.0   5.3 100.0
DtsPct: 1999   4.3   7.1   6.0  16.9  11.1   8.9   5.8   4.4  29.7   5.7 100.0
DtsPct: 2009   4.3   6.7   6.1  18.0  12.0   8.1   5.9   3.9  28.7   6.4 100.0
 
From TS file For COUNTRY CODE: 3
[chiefio@tubularbells analysis]$ 

The temperature series for South America look to me like there is a cooling of the very early years, then a lift in the 1920’s to present. Again, it is subtile enough that a graph would be helpful. We do also have the “thermometer creation” effect and a bit of flattening. It looks rather like a tiny bit of ‘peak clipping’ in a way.

Before:

Look at ./Temps/Temps.3.yrs.GAT (Y/N)? y
 
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 22.7 22.3 20.3 16.9 14.3 13.4 12.0 14.2 13.5 16.1 20.0 23.0 17.4    6
1881 22.2 23.1 21.2 17.1 14.0 11.1 10.5 12.7 15.0 17.2 19.8 23.1 17.2    6
1882 23.2 22.2 19.8 16.2 13.9 11.2 10.7 13.2 14.6 18.7 19.5 20.8 17.0    6
1883 22.5 22.0 20.6 16.6 14.2 12.8 11.6 12.3 14.3 16.9 19.7 21.9 17.1    7
1884 23.7 22.3 21.6 17.1 12.7 10.5 10.9 15.7 15.0 16.8 19.6 22.0 17.3    6
1885 22.7 21.8 19.9 16.5 13.8 11.0 10.5 12.4 15.3 16.9 20.6 21.2 16.9    7
1886 23.4 21.7 20.8 17.0 13.6 10.5 10.9 12.0 14.3 16.2 19.1 21.8 16.8    7
1887 22.0 21.4 20.4 17.8 14.9 14.8 13.7 16.1 16.2 18.1 19.7 21.8 18.1    9
1888 21.4 21.6 20.1 17.5 14.1 11.9 13.6 14.7 16.5 18.2 19.4 21.5 17.5   10
1889 21.8 21.4 20.8 17.4 15.3 12.1 12.7 12.5 14.2 17.0 19.3 21.1 17.1   10
1890 20.9 21.1 19.6 17.7 13.9 11.9 12.9 12.7 14.8 16.6 19.4 21.2 16.9   10
1891 20.6 21.1 20.0 17.8 14.7 14.4 14.1 14.3 16.6 17.7 19.7 20.7 17.6   13
1892 21.3 21.0 19.4 17.2 14.4 12.3 13.0 13.4 15.0 16.9 18.3 19.6 16.8   12
1893 20.5 19.6 20.0 17.0 14.5 12.7 14.8 14.4 16.0 16.9 19.9 21.4 17.3   14
1894 22.2 21.8 19.9 18.0 16.2 13.4 14.0 15.2 16.5 18.2 20.0 20.8 18.0   14
1895 20.7 20.9 20.1 17.9 15.9 15.0 14.2 15.4 16.1 17.1 18.8 20.9 17.8   16
1896 21.5 21.8 20.3 18.5 16.7 14.8 15.9 17.2 18.0 19.7 20.5 21.8 18.9   18
1897 22.2 21.7 21.4 19.6 17.3 14.9 13.7 15.3 16.5 18.7 20.5 22.0 18.6   18
1898 22.3 22.6 20.9 18.8 16.6 16.3 14.9 15.2 16.7 17.6 19.6 21.6 18.6   18
1899 21.9 21.3 21.1 18.9 17.6 14.3 16.0 16.2 16.9 18.1 19.8 21.7 18.6   18
1900 22.4 22.2 21.1 18.9 16.8 15.9 17.0 16.0 17.2 18.2 19.8 20.8 18.9   20
1901 20.4 19.6 18.6 16.2 14.6 13.7 12.4 13.4 15.2 16.5 17.2 19.7 16.5   29
1902 19.8 20.2 18.4 16.9 14.9 13.1 11.8 11.7 14.0 15.5 17.6 19.4 16.1   30
1903 19.0 19.2 18.4 15.9 14.2 12.7 11.8 12.5 14.4 15.2 17.0 18.3 15.7   31
1904 19.6 18.9 17.8 16.4 13.9 12.5 11.8 12.6 14.8 15.2 17.2 18.4 15.8   32
1905 18.1 17.5 17.0 14.9 12.5 11.3  9.9 11.5 13.2 14.7 16.1 16.9 14.5   33
1906 18.4 18.2 17.0 15.1 12.6 10.1 10.6 11.9 12.8 14.9 16.3 17.0 14.6   34
1907 18.1 18.7 16.8 14.6 12.2 10.6 10.5 10.6 12.6 14.4 16.4 17.2 14.4   33
1908 18.3 18.3 17.5 14.5 12.1 11.5 11.0 11.0 13.1 14.0 15.9 17.0 14.5   32
1909 18.3 17.6 16.8 15.0 11.9 10.7 10.7 11.9 13.0 14.5 15.6 17.0 14.4   34
1910 18.0 17.5 16.4 14.5 12.5 11.3 10.4 12.0 13.0 14.6 16.4 17.4 14.5   36
1911 17.9 17.6 16.4 14.3 13.0 10.4 10.4 10.6 12.0 14.2 15.8 17.3 14.2   36
1912 18.2 17.7 17.1 15.0 12.7 11.4 10.5 11.2 13.0 15.0 15.8 17.6 14.6   37
1913 18.3 18.3 16.9 15.5 13.1 11.2 11.7 12.0 13.9 15.0 16.5 17.6 15.0   38
1914 18.9 18.8 17.6 15.3 13.5 12.2 12.0 12.1 13.5 15.2 16.0 17.9 15.2   40
1915 18.5 18.8 17.7 15.2 13.9 11.0 12.0 12.6 13.9 15.3 16.9 18.0 15.3   41
1916 18.8 18.4 16.8 15.9 13.8 10.6 10.5 12.2 13.8 15.4 16.8 17.5 15.0   41
1917 18.5 18.3 17.1 15.5 13.0 11.8 11.3 12.0 13.6 15.3 16.9 18.0 15.1   41
1918 18.3 18.1 17.1 15.5 12.6 11.5 10.6 11.7 13.1 15.2 16.5 18.3 14.9   41
1919 18.8 18.3 17.9 14.8 14.5 12.0 12.0 12.1 13.1 14.9 16.0 18.1 15.2   40
1920 18.8 18.4 17.5 16.1 13.6 11.5 11.3 12.6 13.9 15.1 16.7 18.0 15.3   40
1921 18.3 18.2 17.2 15.6 13.7 10.9 11.0 12.2 13.6 15.2 16.4 18.0 15.0   41
1922 18.5 18.3 17.2 15.6 13.5 11.1 12.3 12.5 14.1 14.8 16.7 17.8 15.2   42
1923 18.2 18.4 17.4 15.3 12.8 11.7 10.1 11.7 13.4 14.3 16.4 17.3 14.8   42
1924 18.4 17.9 17.5 15.1 12.8 11.9 10.9 11.6 13.3 15.2 16.1 17.9 14.9   42
1925 18.3 18.4 17.5 15.6 13.1 11.1 10.9 12.7 13.2 14.9 16.8 18.4 15.1   42
1926 18.7 18.9 17.8 15.3 13.2 12.3 11.0 12.8 13.6 15.0 16.7 18.1 15.3   42
1927 18.4 18.7 17.7 15.8 13.3 11.3 11.2 12.2 13.1 15.1 16.7 17.4 15.1   42
1928 18.2 18.0 17.4 15.8 13.1 11.1 11.3 12.2 13.7 15.2 16.8 17.3 15.0   42
1929 18.5 18.3 17.0 15.7 12.8 11.3 11.7 12.0 13.8 15.3 16.7 17.5 15.1   41
1930 18.5 18.4 17.2 15.6 13.4 12.2 10.6 11.3 13.7 14.6 16.9 18.2 15.1   40
1931 20.7 20.8 19.0 16.1 12.2 11.1 11.1 12.3 13.3 16.9 17.2 20.2 15.9   86
1932 21.3 20.5 19.3 16.7 13.1 11.7 12.5 11.7 14.5 16.7 19.1 19.9 16.4   86
1933 20.6 20.2 18.7 16.8 14.2 11.5 10.2 13.0 14.5 16.7 18.2 19.6 16.2   90
1934 21.6 19.5 18.8 15.4 13.8 11.9 11.5 12.8 13.9 16.0 17.8 19.5 16.0   89
1935 20.6 20.4 20.0 15.9 15.1 12.4 11.2 12.7 13.4 14.9 18.6 19.8 16.2   89
1936 20.7 20.3 19.1 16.9 13.9 12.0 12.1 11.8 14.4 16.7 18.3 20.2 16.4   89
1937 20.8 20.9 18.8 16.5 13.5 12.8 11.4 12.8 14.4 15.7 18.3 20.0 16.3   88
1938 19.9 20.2 18.4 15.4 14.1 11.9 11.4 11.6 14.3 16.6 18.4 20.5 16.1   88
1939 21.3 20.1 18.6 15.5 14.2 12.8 12.0 13.4 14.2 16.5 17.4 19.2 16.3   90
1940 20.6 20.5 18.8 16.5 15.0 12.9 12.9 12.3 14.5 15.6 18.1 20.0 16.5   91
1941 21.0 20.1 18.5 16.3 13.8 12.4 12.4 13.5 13.2 17.2 18.2 20.0 16.4  109
1942 21.5 20.9 18.7 16.6 13.3 10.8 10.6 12.9 14.7 16.3 19.1 20.7 16.3  109
1943 21.5 21.4 18.9 16.7 14.7 12.8 12.8 11.6 14.9 17.3 18.0 20.4 16.8  112
1944 20.5 21.0 19.4 16.8 14.7 12.8 12.5 13.7 16.2 17.3 18.6 21.1 17.1  111
1945 21.6 20.8 19.3 17.4 14.4 11.7 11.6 14.2 15.0 17.4 18.0 19.7 16.8  113
1946 20.1 20.7 18.6 17.0 14.4 11.8 11.7 13.1 15.1 16.5 18.8 19.5 16.4  113
1947 20.7 20.5 18.8 16.2 14.2 13.1 11.3 12.0 14.1 16.4 19.0 19.4 16.3  111
1948 21.2 20.4 18.3 16.4 14.2 12.8 11.6 11.6 15.1 16.6 18.6 21.4 16.5  107
1949 21.5 21.0 19.7 17.8 15.5 14.1 13.1 14.0 15.2 16.7 19.5 20.7 17.4  129
1950 21.3 21.8 20.3 18.1 16.1 13.5 13.7 14.6 15.4 17.2 19.1 20.7 17.6  136
1951 21.9 21.1 20.6 18.6 18.0 16.1 16.2 16.8 17.9 19.4 20.6 21.7 19.1  191
1952 23.1 22.6 22.1 18.8 17.7 14.0 15.5 16.3 17.5 19.0 20.4 21.6 19.1  194
1953 22.3 22.6 21.3 18.9 17.3 15.4 13.8 17.1 18.4 18.4 20.5 21.8 19.0  200
1954 22.0 22.1 21.2 18.9 16.0 14.7 14.2 15.5 16.7 18.5 20.5 21.4 18.5  201
1955 22.5 21.8 20.1 18.5 16.4 15.2 13.7 15.5 17.0 18.3 21.0 21.5 18.5  205
1956 21.3 21.4 20.9 18.1 15.7 14.9 15.4 15.8 17.5 19.1 20.5 21.7 18.5  208
1957 22.4 21.7 22.0 18.9 18.7 15.6 14.8 16.5 17.2 19.5 20.6 22.1 19.2  209
1958 22.8 22.4 21.7 19.6 17.0 16.5 17.0 15.7 18.2 20.1 20.9 21.5 19.4  213
1959 21.9 22.3 21.1 18.7 16.9 15.6 16.1 15.6 17.8 19.2 20.4 21.8 19.0  218
1960 22.8 22.6 21.4 19.2 16.7 15.8 15.3 16.3 17.8 19.4 20.7 21.9 19.2  218
1961 22.6 22.0 21.1 19.4 18.3 15.6 15.5 17.6 18.0 19.8 21.0 21.6 19.4  247
1962 21.8 21.9 21.3 19.0 17.1 15.8 14.6 16.7 18.4 19.2 21.3 22.1 19.1  246
1963 22.1 22.0 20.9 19.7 17.7 16.2 16.6 17.2 18.1 19.6 20.0 21.6 19.3  244
1964 22.3 21.9 20.6 19.4 17.8 14.9 14.9 16.2 17.8 18.9 19.8 20.8 18.8  242
1965 22.0 22.0 20.6 19.1 17.2 17.5 15.6 17.1 17.8 19.7 20.8 21.2 19.2  247
1966 22.1 21.1 20.8 19.4 17.3 16.4 15.8 15.8 17.3 19.0 20.5 21.2 18.9  247
1967 21.7 21.7 20.5 19.4 18.6 14.6 15.4 16.4 17.8 19.4 20.4 21.8 19.0  248
1968 21.8 21.5 20.4 18.1 16.3 15.6 16.2 16.7 17.3 19.1 21.3 21.4 18.8  251
1969 22.1 22.1 21.4 19.7 18.2 16.0 15.9 16.1 18.4 18.8 20.7 21.7 19.3  259
1970 21.9 22.1 20.9 19.9 17.4 15.6 15.3 15.9 17.8 18.8 19.7 21.1 18.9  262
1971 21.4 21.0 20.7 18.1 16.6 14.6 16.0 16.4 18.6 19.1 21.0 21.8 18.8  283
1972 22.2 22.0 20.8 19.2 18.8 16.9 16.6 16.4 18.4 19.3 20.8 22.1 19.5  284
1973 22.7 22.5 21.8 19.9 17.9 17.0 15.6 16.1 17.9 19.5 20.2 21.0 19.3  289
1974 21.8 21.2 20.8 19.1 17.6 16.0 16.1 16.4 17.6 19.1 20.7 21.2 19.0  288
1975 21.9 21.7 20.9 19.5 17.6 16.6 15.1 16.3 18.1 19.3 20.1 21.6 19.1  304
1976 21.8 21.4 20.0 19.3 18.2 15.9 15.8 16.3 18.0 19.8 20.8 21.6 19.1  299
1977 22.3 22.0 21.4 19.9 17.4 16.6 16.8 16.8 18.9 20.2 20.8 21.9 19.6  304
1978 22.1 22.0 21.5 19.4 17.8 16.2 17.1 16.3 18.8 20.0 21.0 22.0 19.5  300
1979 22.7 22.4 21.1 19.4 18.0 16.2 16.8 18.3 18.2 20.0 20.5 21.9 19.6  300
1980 22.6 22.2 22.2 20.1 18.5 16.2 15.8 16.9 17.9 19.9 20.4 22.1 19.6  301
1981 22.0 22.3 21.3 19.8 18.4 16.2 15.5 16.9 17.4 19.0 20.8 21.7 19.3  276
1982 22.1 21.3 20.9 19.4 17.8 15.6 15.3 16.7 17.9 19.4 20.5 22.2 19.1  232
1983 23.1 22.3 21.3 19.7 17.6 14.6 14.6 15.7 16.9 19.5 20.7 22.5 19.0  225
1984 22.4 22.4 20.8 18.3 16.7 14.7 15.1 15.1 17.5 20.0 20.4 21.2 18.7  226
1985 22.3 22.3 21.7 19.7 17.8 15.7 15.5 16.0 17.7 19.3 21.0 21.7 19.2  231
1986 22.5 21.6 20.2 19.5 17.1 15.5 15.1 16.6 17.5 19.1 20.4 22.0 18.9  229
1987 22.8 22.7 21.8 20.2 16.7 16.2 16.8 16.4 17.9 20.0 21.6 22.0 19.6  232
1988 22.9 22.6 22.3 19.5 16.6 15.1 14.7 16.4 17.5 19.1 21.6 22.9 19.3  238
1989 23.2 22.9 21.3 19.5 16.9 16.3 14.7 16.8 16.4 19.0 21.0 22.7 19.2  229
1990 22.9 22.2 21.6 19.5 17.0 15.3 17.6 17.3 17.7 19.8 21.6 21.7 19.5  213
1991 22.7 21.8 21.6 19.1 17.8 14.3 14.7 17.3 18.0 18.8 21.0 22.9 19.2  212
1992 23.2 24.3 24.0 18.9 16.6 14.8 15.7 16.0 15.5 18.5 19.5 22.0 19.1  195
1993 22.2 21.6 20.6 18.4 15.3 13.8 14.9 14.4 17.3 19.6 19.9 21.8 18.3  198
1994 22.4 21.6 20.3 18.4 16.7 18.1 14.6 16.1 19.6 18.2 20.2 22.4 19.1  203
1995 22.3 21.3 20.8 19.0 16.9 14.4 16.6 16.2 17.9 18.9 21.1 22.5 19.0  198
1996 22.1 21.8 20.9 19.3 18.0 14.7 15.2 17.6 17.2 19.4 20.6 21.5 19.0  203
1997 22.7 21.3 21.0 19.1 17.7 16.0 16.1 18.1 18.1 19.6 20.8 22.6 19.4  203
1998 22.2 21.7 20.6 19.7 17.7 16.4 16.6 16.8 17.5 20.5 21.8 21.6 19.4  201
1999 22.1 22.4 21.2 18.5 17.6 15.6 15.4 16.9 18.9 19.5 20.7 21.7 19.2  198
2000 23.0 22.2 20.5 19.5 17.8 15.9 14.2 16.5 17.0 19.9 20.4 22.1 19.1  196
2001 22.2 22.8 22.2 19.6 17.4 16.0 16.1 18.0 18.6 19.9 21.5 22.7 19.8  193
2002 22.9 22.2 21.6 19.7 17.6 14.8 15.4 17.3 18.7 20.1 21.4 22.1 19.5  186
2003 23.0 22.4 21.7 19.9 17.9 16.9 16.2 16.3 18.6 20.6 21.4 21.6 19.7  187
2004 23.2 22.5 22.2 20.2 16.1 16.0 15.3 17.3 18.7 20.3 21.9 22.7 19.7  182
2005 23.4 23.2 21.8 19.6 17.9 16.3 16.3 17.5 18.1 20.1 21.5 22.2 19.8  181
2006 23.2 23.1 22.0 20.2 17.5 16.9 18.2 17.4 18.7 21.3 21.3 23.1 20.2  181
2007 23.2 22.9 22.2 20.3 16.8 15.9 15.0 15.8 19.5 20.1 20.7 22.0 19.5  174
2008 22.9 22.8 21.6 19.3 17.2 15.7 17.0 17.2 18.9 20.7 22.5 23.0 19.9  172
     22.0 21.7 20.7 18.8 16.9 15.2 15.0 15.9 17.3 18.8 20.2 21.4 18.7
     21.2 20.9 19.9 17.7 15.5 13.8 13.6 14.5 16.0 17.7 19.2 20.6 17.6
 
For Country Code 3
 
-rw-rw-r--    1 chiefio  chiefio   2073918 Nov  5 19:07 ./Temps/Temps.3
-rw-rw-r--    1 chiefio  chiefio   2073918 Nov  5 19:07 ./Temps/v2.meanC.3
 
Clean up / Delete intermediate files (Y/N)? 

After:

Look at ./Temps/Tempsts.3.yrs.GAT (Y/N)? y
 
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 22.7 22.3 20.3 16.9 14.3 13.4 12.0 14.2 13.5 16.1 20.0 23.0 17.4    6
1881 22.2 23.1 21.2 17.1 14.0 11.1 10.5 12.7 15.0 17.2 19.8 23.1 17.2    6
1882 23.2 22.2 19.8 16.2 13.9 11.2 10.7 13.2 14.6 18.7 19.5 20.8 17.0    6
1883 22.5 22.0 20.6 16.6 14.2 12.8 11.6 12.3 14.3 16.9 19.7 21.9 17.1    7
1884 23.7 22.3 21.6 17.1 12.7 10.5 10.9 15.7 15.0 16.8 19.6 22.0 17.3    7
1885 22.7 21.8 19.9 16.5 13.8 11.0 10.5 12.4 15.3 16.9 20.6 21.2 16.9    8
1886 23.4 21.7 20.8 17.0 13.6 10.5 10.9 12.0 14.3 16.2 19.1 21.8 16.8    8
1887 22.1 21.4 20.5 17.7 14.9 14.8 13.7 16.4 16.1 18.1 19.8 21.9 18.1   10
1888 21.7 21.7 20.0 17.5 13.9 11.6 13.5 14.5 16.2 17.7 19.2 21.5 17.4   11
1889 21.7 21.3 20.6 17.2 15.1 12.1 12.5 12.4 14.2 16.9 19.3 21.0 17.0   11
1890 20.9 21.1 19.4 17.7 13.7 11.8 12.8 12.6 14.5 16.7 19.6 21.3 16.8   11
1891 20.0 20.7 19.3 16.9 14.6 13.2 13.1 14.3 15.7 16.8 19.1 20.2 17.0   13
1892 21.2 21.0 19.3 17.1 14.3 12.2 13.1 13.4 14.9 16.8 18.3 19.7 16.8   13
1893 20.5 19.6 20.0 17.0 14.4 12.6 14.0 13.5 15.2 16.0 19.4 21.1 16.9   14
1894 21.8 21.4 19.3 17.3 15.4 12.5 13.1 14.3 15.6 17.3 19.5 20.4 17.3   14
1895 20.3 20.5 19.6 17.3 15.2 14.3 13.3 14.6 15.4 16.4 18.2 20.4 17.1   16
1896 20.8 21.2 19.6 17.5 15.7 13.5 14.8 16.2 16.9 18.7 19.6 21.0 18.0   17
1897 21.6 21.2 20.8 18.7 16.2 13.6 12.2 13.9 15.2 17.5 19.7 21.3 17.7   17
1898 21.6 22.2 20.0 17.8 15.4 15.1 13.5 13.8 15.4 16.4 18.6 21.0 17.6   17
1899 21.4 20.7 20.5 17.9 16.5 13.0 14.9 14.9 15.6 17.0 18.9 21.1 17.7   18
1900 22.0 21.7 20.3 18.0 15.5 14.7 15.9 14.7 16.0 17.2 19.0 20.1 17.9   19
1901 20.5 20.1 19.1 16.5 15.0 14.1 12.7 13.8 15.8 17.2 18.1 19.9 16.9   28
1902 20.2 20.7 18.8 17.3 15.3 13.4 12.2 11.8 14.5 15.9 18.3 19.7 16.5   29
1903 19.5 19.7 18.9 16.2 14.4 13.0 11.9 12.7 14.9 15.5 17.5 18.8 16.1   30
1904 20.0 19.2 18.2 16.8 14.0 12.5 12.1 12.7 15.2 15.6 17.5 18.7 16.0   31
1905 19.4 18.6 18.2 15.9 13.4 12.3 11.0 12.6 14.4 16.0 17.4 18.2 15.6   32
1906 19.7 19.6 18.3 16.2 13.8 10.7 11.3 12.8 13.9 16.3 17.7 18.3 15.7   33
1907 19.4 19.4 18.0 15.6 12.8 11.1 11.2 11.6 13.6 15.5 17.6 18.7 15.4   33
1908 19.5 19.3 18.6 15.6 12.9 12.5 12.0 11.8 14.1 15.2 16.7 18.5 15.6   33
1909 19.7 19.0 18.1 16.3 12.8 11.3 11.5 13.0 14.2 15.6 16.9 18.0 15.5   33
1910 19.3 18.6 17.3 15.6 13.5 12.2 11.2 13.1 14.0 15.7 17.6 18.7 15.6   35
1911 19.1 18.5 17.2 15.2 13.8 11.2 11.4 11.7 13.2 15.5 17.3 18.7 15.2   37
1912 19.5 19.0 18.4 16.3 13.9 12.6 11.6 12.7 14.4 16.4 17.3 19.2 15.9   39
1913 19.7 19.7 18.2 16.9 14.4 12.5 13.3 13.4 15.2 16.6 18.1 19.1 16.4   39
1914 20.3 20.0 18.7 16.4 14.6 13.4 13.4 13.5 14.8 16.6 17.4 19.2 16.5   40
1915 19.8 20.2 18.8 16.7 15.3 12.0 13.3 14.1 15.2 16.8 18.2 19.4 16.6   41
1916 20.0 19.5 18.0 17.2 15.1 11.6 11.7 13.5 15.1 16.8 18.2 18.8 16.3   41
1917 19.8 19.4 18.2 16.5 13.9 12.9 12.4 13.2 15.1 16.5 18.0 19.3 16.3   41
1918 19.4 19.0 18.2 16.7 13.7 12.5 11.6 13.2 14.5 16.5 17.9 19.4 16.0   42
1919 20.0 19.3 19.0 16.3 15.8 13.0 13.2 13.3 14.5 16.4 17.7 19.6 16.5   42
1920 20.3 19.7 18.9 17.4 14.9 12.7 12.0 13.5 15.0 16.3 18.0 19.2 16.5   41
1921 19.6 19.4 18.3 16.8 15.2 11.8 12.0 13.6 14.9 16.5 17.9 19.6 16.3   41
1922 19.7 19.4 18.3 16.6 14.7 12.2 13.5 13.8 15.5 16.1 18.1 19.0 16.4   42
1923 19.5 19.7 18.7 16.5 13.8 12.9 11.2 13.0 14.8 15.5 17.8 18.6 16.0   42
1924 19.6 19.2 18.6 16.3 13.9 13.1 12.0 12.7 14.5 16.2 17.3 19.2 16.0   42
1925 19.4 19.5 18.7 16.7 14.2 12.0 11.9 14.1 14.7 16.2 18.2 19.6 16.3   42
1926 20.1 20.1 19.2 16.6 14.3 13.7 12.2 14.2 15.2 16.5 18.0 19.4 16.6   42
1927 19.7 20.0 18.9 16.9 14.3 12.4 12.3 13.6 14.5 16.5 18.2 18.7 16.3   42
1928 19.4 19.1 18.4 16.8 14.3 12.4 12.6 13.4 14.9 16.7 18.3 18.8 16.3   42
1929 19.9 19.5 18.2 17.0 14.0 12.4 12.9 13.4 15.2 16.7 18.1 19.1 16.4   42
1930 19.9 19.6 18.5 16.9 14.6 13.6 11.8 12.6 15.1 16.1 18.3 19.6 16.4   42
1931 21.5 21.7 19.7 16.7 12.4 11.3 11.4 12.7 13.8 17.7 18.0 21.1 16.5   91
1932 22.2 21.3 20.1 17.4 13.5 12.1 13.2 12.2 15.1 17.4 19.9 20.8 17.1   91
1933 21.5 21.0 19.3 17.4 14.7 11.8 10.4 13.6 15.1 17.5 19.0 20.5 16.8   93
1934 22.5 20.2 19.6 15.9 14.3 12.5 12.0 13.4 14.5 16.6 18.6 20.4 16.7   93
1935 21.6 21.3 20.9 16.5 15.8 12.9 11.7 13.3 14.2 15.6 19.6 20.8 17.0   93
1936 21.7 21.0 19.9 17.3 14.5 12.4 12.5 12.4 15.1 17.4 19.0 21.0 17.0   94
1937 21.7 21.8 19.5 17.1 13.9 13.3 11.7 13.4 14.9 16.4 19.2 20.9 17.0   95
1938 20.7 21.0 19.0 15.8 14.6 12.3 11.9 12.1 15.2 17.3 19.1 21.4 16.7   95
1939 22.2 20.8 19.3 16.0 14.7 13.3 12.5 14.2 14.8 17.2 18.2 19.9 16.9   95
1940 21.4 21.1 19.3 17.1 15.3 13.4 13.4 12.7 15.0 16.1 18.8 20.9 17.0   96
1941 21.7 20.7 19.0 16.9 14.2 12.8 12.9 14.0 13.7 18.0 18.9 20.8 17.0  112
1942 22.3 21.5 19.2 17.1 13.7 10.9 10.7 13.3 15.2 17.1 19.9 21.4 16.9  113
1943 22.2 22.2 19.4 17.1 15.2 13.0 13.2 11.8 15.3 18.0 18.8 21.2 17.3  115
1944 21.2 21.8 19.9 17.3 15.0 13.2 13.1 14.4 17.0 18.1 19.4 22.0 17.7  115
1945 22.3 21.3 19.8 18.0 14.7 12.1 11.9 14.7 15.6 18.1 18.9 20.5 17.3  116
1946 20.8 21.4 19.2 17.5 14.8 12.1 12.0 13.6 15.7 17.1 19.5 20.2 17.0  116
1947 21.5 21.2 19.4 16.7 14.6 13.6 11.5 12.4 14.6 17.1 19.8 20.3 16.9  116
1948 22.0 21.0 18.8 16.8 14.6 13.2 11.8 12.0 15.7 17.2 19.3 22.3 17.1  115
1949 22.4 21.6 20.3 18.4 15.9 14.3 13.1 14.3 15.5 17.2 20.5 21.5 17.9  138
1950 22.2 22.4 20.8 18.8 16.7 14.1 14.0 15.1 15.8 17.7 19.6 21.5 18.2  145
1951 22.5 21.4 20.9 18.6 18.1 16.2 16.2 17.0 17.9 19.6 20.9 22.0 19.3  197
1952 23.5 23.0 22.4 19.0 17.6 13.8 15.5 16.3 17.5 19.1 20.5 22.0 19.2  201
1953 22.6 23.0 21.6 19.0 17.4 15.5 13.7 17.3 18.7 18.5 20.8 22.1 19.2  205
1954 22.3 22.4 21.5 18.8 16.1 14.8 14.0 15.7 16.8 18.6 20.9 21.8 18.6  206
1955 22.9 22.0 20.2 18.5 16.2 15.0 13.4 15.6 17.1 18.3 21.3 21.8 18.5  209
1956 21.4 21.5 20.9 17.9 15.4 14.7 15.0 15.6 17.4 19.0 20.5 21.8 18.4  211
1957 22.7 21.7 21.9 18.6 18.5 15.1 14.5 16.2 17.0 19.4 20.6 22.2 19.0  213
1958 23.0 22.6 21.7 19.5 16.8 16.2 16.9 15.5 17.9 20.0 20.9 21.6 19.4  217
1959 22.0 22.5 21.1 18.5 16.8 15.4 15.9 15.4 17.5 19.2 20.4 21.8 18.9  223
1960 23.0 22.7 21.4 19.1 16.6 15.6 15.2 16.4 17.9 19.5 20.9 22.1 19.2  227
1961 22.5 21.8 21.1 19.4 18.5 15.9 16.0 18.0 18.2 19.9 21.0 21.7 19.5  261
1962 21.9 22.0 21.4 19.2 17.4 15.9 15.0 17.1 18.6 19.5 21.6 22.1 19.3  261
1963 22.1 22.1 21.0 19.9 17.9 16.4 16.8 17.5 18.3 19.9 20.2 21.7 19.5  262
1964 22.4 21.9 20.6 19.5 18.0 15.1 15.3 16.4 17.9 19.0 20.0 20.9 18.9  263
1965 22.0 22.1 20.8 19.3 17.6 17.8 15.9 17.3 18.2 20.0 21.0 21.5 19.5  264
1966 22.3 21.2 21.0 19.7 17.7 16.7 16.1 16.2 17.5 19.3 20.6 21.1 19.1  267
1967 21.9 21.8 20.6 19.8 18.9 15.0 15.8 16.9 18.1 19.7 20.7 21.9 19.3  268
1968 21.9 21.8 20.6 18.5 17.0 16.2 16.7 17.2 18.0 19.4 21.5 21.6 19.2  271
1969 22.2 22.3 21.6 19.9 18.6 16.5 16.4 16.6 18.8 19.2 20.9 22.1 19.6  277
1970 22.1 22.3 21.3 20.4 18.1 16.4 16.0 16.6 18.4 19.3 20.0 21.3 19.4  278
1971 21.6 21.2 20.9 18.7 17.2 15.2 16.6 17.0 18.8 19.4 21.1 21.8 19.1  298
1972 22.2 22.1 21.0 19.6 18.9 17.7 16.8 17.2 19.1 19.8 21.0 22.2 19.8  300
1973 23.0 22.7 22.0 20.4 18.4 17.2 16.0 16.9 18.0 19.8 20.5 21.4 19.7  302
1974 22.0 21.5 21.1 19.6 18.4 16.6 16.8 17.2 18.2 19.6 20.9 21.5 19.4  302
1975 22.0 21.9 21.3 19.9 18.2 17.1 15.8 17.1 18.5 19.7 20.4 21.8 19.5  315
1976 21.8 21.7 20.3 19.6 18.4 16.5 16.5 17.3 18.3 20.0 21.0 21.8 19.4  314
1977 22.5 22.1 21.6 20.0 17.9 17.3 17.2 17.5 19.3 20.6 21.2 22.2 19.9  313
1978 22.3 22.3 21.7 19.8 18.3 16.9 17.7 17.0 19.2 20.5 21.4 22.1 19.9  311
1979 22.7 22.6 21.4 19.9 18.5 16.8 17.2 18.7 18.6 20.5 20.9 22.1 20.0  309
1980 22.7 22.4 22.5 20.5 19.1 16.9 16.6 17.6 18.5 20.1 20.6 22.3 20.0  309
1981 22.2 22.4 21.4 19.8 18.8 16.0 15.6 17.3 17.8 19.5 20.9 22.0 19.5  281
1982 22.5 21.8 21.3 19.9 18.3 16.3 16.2 17.2 18.6 19.8 21.1 22.5 19.6  266
1983 23.6 22.7 21.7 20.3 18.3 15.4 15.6 16.6 17.6 20.0 21.2 22.8 19.7  263
1984 22.7 22.7 21.3 18.8 17.3 15.3 15.6 16.0 18.1 20.4 20.8 21.4 19.2  263
1985 22.6 22.6 21.8 19.6 18.3 16.5 16.2 16.7 18.3 19.9 21.3 22.1 19.7  261
1986 22.9 22.0 20.7 20.1 17.9 16.3 15.9 17.1 18.1 19.6 21.2 22.4 19.5  259
1987 22.9 22.9 22.1 20.5 17.2 16.9 17.4 17.2 18.6 20.5 22.1 22.2 20.0  256
1988 22.9 22.8 22.5 20.1 17.2 15.8 15.1 16.9 18.0 19.5 21.5 22.8 19.6  254
1989 23.1 22.9 21.6 19.9 17.3 16.7 15.4 17.2 17.0 19.4 21.3 23.0 19.6  249
1990 22.8 22.5 21.9 20.1 17.9 16.3 17.7 17.9 18.6 20.6 21.9 22.1 20.0  232
1991 22.8 22.1 21.9 19.4 17.7 14.3 14.7 17.3 17.8 18.8 20.8 22.5 19.2  223
1992 23.3 24.3 24.0 19.0 16.7 14.9 15.9 16.1 15.7 18.8 19.6 22.1 19.2  211
1993 22.5 21.9 20.9 18.6 15.5 14.0 15.0 14.6 17.5 19.9 20.7 22.1 18.6  210
1994 22.7 21.8 20.7 18.9 17.1 18.2 15.1 16.5 20.1 18.8 20.6 22.6 19.4  211
1995 22.5 21.5 21.2 19.3 17.2 14.8 17.3 16.6 18.3 19.4 21.4 22.9 19.4  211
1996 22.5 22.2 21.4 19.6 18.4 15.0 15.4 17.9 17.7 19.8 21.1 22.0 19.4  211
1997 23.1 21.6 21.3 19.5 17.9 16.4 16.6 18.4 18.5 20.0 21.3 22.7 19.8  208
1998 22.7 22.0 21.0 20.0 18.1 16.7 17.0 17.2 17.9 20.6 22.1 22.0 19.8  206
1999 22.6 22.6 21.4 18.8 17.8 15.8 15.5 17.1 19.3 19.9 21.1 22.1 19.5  205
2000 23.3 22.3 20.9 19.9 17.9 16.2 14.5 16.9 17.4 20.2 20.7 22.0 19.3  203
2001 22.6 23.2 22.2 20.1 17.7 16.4 16.2 18.3 18.9 20.3 21.4 22.7 20.0  199
2002 22.9 22.6 22.0 19.7 18.1 15.2 15.8 17.7 19.1 20.6 21.7 22.4 19.8  190
2003 23.4 22.7 21.9 20.1 18.1 17.2 16.4 16.2 18.6 20.8 21.5 21.9 19.9  190
2004 23.4 22.7 22.2 20.1 16.1 16.1 15.3 17.4 19.0 20.2 21.9 22.9 19.8  188
2005 23.4 23.3 21.9 19.8 18.2 16.4 16.4 17.4 18.1 20.0 21.6 22.3 19.9  186
2006 23.4 23.3 22.1 20.4 17.5 16.8 18.1 17.6 18.8 21.3 21.5 23.2 20.3  185
2007 23.6 23.1 22.4 20.6 17.0 16.2 15.3 16.1 20.1 20.5 21.1 22.3 19.9  178
2008 23.1 22.9 21.9 19.5 17.4 15.7 17.1 17.1 18.8 20.6 22.5 22.9 20.0  171
     22.2 21.9 21.0 19.0 17.1 15.4 15.2 16.2 17.5 19.1 20.5 21.7 18.9
     21.7 21.4 20.3 18.1 15.9 14.1 14.0 15.0 16.4 18.1 19.7 21.1 18.0
 
From Ts File for Country Code 3
 
-rw-rw-r--    1 chiefio  chiefio   2422024 Nov  5 19:08 ./Temps/Tempsts.3
-rw-rw-r--    1 chiefio  chiefio   2422024 Nov  5 19:08 ./Temps/v2.meanCts.3
 
Clean up / Delete intermediate files (Y/N)? 

China

We again see the ‘pull to the middle’ but with a southern bent. In the early years of GIStemp time (1880 ish) we see the smearing of the 35N and 40N together and a surprising “juice” of the 25N band that fades into the present.

Before:

[chiefio@tubularbells analysis]$ !cat
cat Lats/Therm.by.lat205.Dec.LAT Lats/Therm.by.tslat205.Dec.LAT 
       Year SP  20    25    30    35    40    45    50    55    60   -NP
DecPct: 1849   0.0   0.0   0.0  14.3  85.7   0.0   0.0   0.0   0.0   0.0 100.0
DecPct: 1859   0.0  22.6   0.0  32.3  45.2   0.0   0.0   0.0   0.0   0.0 100.0
DecPct: 1869   0.0  34.8   0.0  30.4  34.8   0.0   0.0   0.0   0.0   0.0 100.0
DecPct: 1879   0.0  17.2   0.0  55.2  27.6   0.0   0.0   0.0   0.0   0.0 100.0
DecPct: 1889   0.0  13.0   0.0  74.1  13.0   0.0   0.0   0.0   0.0   0.0 100.0
DecPct: 1899   0.0  19.8   3.7  49.4  27.2   0.0   0.0   0.0   0.0   0.0 100.0
DecPct: 1909   0.0  12.4   6.2  34.7  35.5   8.7   2.5   0.0   0.0   0.0 100.0
DecPct: 1919   0.0   9.5   8.1  23.2  28.3  17.3  13.6   0.0   0.0   0.0 100.0
DecPct: 1929   0.0  15.5  16.5  18.4  26.5  13.4   9.8   0.0   0.0   0.0 100.0
DecPct: 1939   0.0  12.7  21.6  21.8  24.5  12.4   7.0   0.0   0.0   0.0 100.0
DecPct: 1949   0.0   6.4  33.5  20.1  23.4  12.2   4.5   0.0   0.0   0.0 100.0
DecPct: 1959   1.0  11.1  23.7  19.4  20.1  17.0   7.1   0.5   0.0   0.0 100.0
DecPct: 1969   1.1  10.3  21.3  20.3  20.9  17.6   7.5   1.0   0.0   0.0 100.0
DecPct: 1979   1.2  10.3  21.7  19.9  20.5  17.7   7.6   1.0   0.0   0.0 100.0
DecPct: 1989   1.3  10.4  21.4  19.7  20.5  18.0   7.7   1.0   0.0   0.0 100.0
DecPct: 1999   0.8  13.0  19.5  17.6  23.0  17.4   8.2   0.5   0.0   0.0 100.0
DecPct: 2009   0.9  12.7  18.9  16.6  24.0  18.9   7.9   0.0   0.0   0.0 100.0
 
For COUNTRY CODE: 205

After:

       Year SP  20    25    30    35    40    45    50    55    60    NP
DtsPct: 1889   0.0  33.3   0.0  33.3  33.3   0.0   0.0   0.0   0.0   0.0 100.0
DtsPct: 1899   0.0  32.0   6.0  20.0  42.0   0.0   0.0   0.0   0.0   0.0 100.0
DtsPct: 1909   0.0  23.6  11.8  22.8  31.5   7.9   2.4   0.0   0.0   0.0 100.0
DtsPct: 1919   0.0  14.8  11.4  18.3  21.4  19.7  14.5   0.0   0.0   0.0 100.0
DtsPct: 1929   0.0  17.3  17.5  19.1  18.1  17.7  10.4   0.0   0.0   0.0 100.0
DtsPct: 1939   0.0  12.3  22.2  20.2  20.0  17.0   8.3   0.0   0.0   0.0 100.0
DtsPct: 1949   0.0   8.3  27.9  19.1  18.3  18.6   7.8   0.0   0.0   0.0 100.0
DtsPct: 1959   1.0  11.8  24.4  19.9  18.1  17.4   7.0   0.4   0.0   0.0 100.0
DtsPct: 1969   1.2  11.7  22.0  20.3  18.9  17.5   7.4   1.0   0.0   0.0 100.0
DtsPct: 1979   1.3  11.7  22.1  20.2  18.8  17.6   7.4   1.0   0.0   0.0 100.0
DtsPct: 1989   1.5  11.1  21.7  20.5  19.0  17.9   7.3   1.0   0.0   0.0 100.0
DtsPct: 1999   2.2  10.8  18.2  21.5  19.2  20.8   6.9   0.4   0.0   0.0 100.0
DtsPct: 2009   2.7  10.0  17.4  21.4  19.2  22.7   6.7   0.0   0.0   0.0 100.0
 
From TS file For COUNTRY CODE: 205
[chiefio@tubularbells analysis]$ 

Antarctica is interesting

This will be a few of the late years from both runs next to each other,

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
--------------------------------------------------------------------------
Original:
2000 -7.8-12.0-17.3-21.6-22.6-23.3-24.5-25.7-22.8-20.4-10.6 -6.7-17.9  76
2001 -6.8-11.4-20.7-22.9-23.0-23.6-25.3-27.6-22.8-18.3-12.5 -7.3-18.5  73
2002 -5.8-11.6-18.2-23.7-22.9-27.1-27.3-28.1-23.1-21.3-14.0 -8.1-19.3  74
2003 -4.3 -6.5-12.7-16.3-18.7-23.7-23.6-20.2-19.3-14.9 -9.7 -4.0-14.5  45
2004 -2.9 -5.9-14.3-19.0-19.0-20.3-24.0-21.1-19.0-15.7-10.1 -3.7-14.6  34
2005 -4.2-10.7-15.9-22.1-22.5-25.2-26.7-26.2-20.4-17.7-12.0 -5.5-17.4  54
2006 -6.1 -7.8-12.6-16.1-21.0-22.1-24.7-21.3-20.8-18.2 -9.8 -5.9-15.5  43
2007 -4.2 -7.3-12.3-19.1-16.3-18.8-22.6-21.2-20.1-16.4 -9.7 -5.5-14.5  34
2008 -6.0 -9.5-11.8-16.3-18.7-22.7-23.2-24.3-19.6-17.7-10.2 -5.4-15.4  33
Modified:
2000 -8.4-12.9-17.9-22.3-24.3-24.7-25.1-27.0-24.5-21.6-11.3 -7.3-18.9   83
2001 -7.7-12.6-22.7-24.5-24.6-24.7-26.2-29.3-23.8-19.3-13.2 -7.9-19.7   81
2002 -6.2-12.8-19.4-24.6-23.7-28.4-29.0-29.8-23.7-21.6-14.2 -8.0-20.1   80
2003 -3.7 -6.2-12.3-16.0-18.4-23.8-23.9-19.8-18.2-14.0 -9.0 -3.8-14.1   60
2004 -2.6 -5.5-14.3-17.8-18.9-19.5-23.8-20.5-18.8-15.5 -9.8 -3.6-14.2   57
2005 -3.4-11.6-16.9-24.0-22.6-26.0-26.9-26.7-18.9-18.0-11.9 -5.6-17.7   57
2006 -6.5 -8.3-11.6-15.9-18.3-20.0-23.0-19.9-19.6-15.3 -8.1 -5.1-14.3   48
2007 -3.7 -7.1-11.5-18.1-16.7-19.1-21.8-20.1-18.7-15.4 -8.7 -4.9-13.8   36
2008 -5.3 -7.5-12.3-15.2-17.1-20.0-19.7-22.0-17.8-15.9 -8.6 -3.5-13.7   33

An almost across the board warming of the 2006, 2007, and 2008. Those years are warmed in some cases by over 1 C (!) Yes, whole degrees… 2008 goes from -15.4 to -13.7, so that’s a warming of 1.7 C. We’re supposed to be excited about 1/10 C and this program fudges the temperature for the whole continent in whole degrees for an entire year?

I have to do a custom version of the “by latitude” report for Antarctica since I need to point it at the “after the merge” data, so that will have to wait a bit. For now, here are the Antarctic temperature data.

Before:

Look at ./Temps/Temps.7.yrs.GAT (Y/N)? y
 
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
--------------------------------------------------------------------------
1903-99.0-99.0-99.0 -6.3 -8.3-12.5 -8.4 -7.5-10.3 -2.8 -1.5 -0.3 -6.4   1
1904  0.2  0.4  0.2 -3.9-11.9 -8.5-13.9-10.8 -6.4 -7.6 -0.5 -1.8 -5.4   1
1905 -0.4 -0.8 -0.2 -4.3 -8.2-11.9-16.5 -5.3 -3.3 -2.4 -1.4  0.0 -4.6   1
1906  1.1  0.4 -1.4 -1.6 -7.0-12.0-11.8 -8.5 -8.3 -4.3 -1.5 -0.4 -4.6   1
1907  0.4  1.4  0.1 -0.9 -4.5-11.4-12.0-16.7 -7.8 -4.7 -1.8 -1.4 -4.9   1
1908 -0.1  1.2  0.2 -1.5 -4.1 -5.4-12.4 -6.2 -2.9 -2.4 -1.3 -0.6 -3.0   1
1909  1.0  0.6 -0.3 -3.5 -9.4-10.2-12.2 -6.6 -7.5 -2.4 -2.2 -0.9 -4.5   1
1910 -0.1  0.8  0.4 -1.9 -2.9 -5.2 -8.0-11.4 -5.8 -3.2 -1.3 -1.5 -3.3   1
1911 -0.7  0.6 -0.7 -5.4 -5.9 -5.6 -8.9 -5.7 -4.0 -3.5 -4.4 -1.6 -3.8   1
1912  0.7  0.9 -1.6 -5.3 -9.7-11.5-14.3-13.2 -5.6 -4.5 -4.1 -1.3 -5.8   1
1913 -1.0 -0.5 -1.9 -2.4 -4.0-14.4-13.2 -7.7 -5.0 -5.3 -4.9  0.2 -5.0   1
1914 -0.2  0.6  0.4 -0.5 -3.3 -9.0-13.5 -7.5 -6.0 -5.8 -3.1 -0.1 -4.0   1
1915 -0.6 -0.4 -0.6 -4.6-11.1-13.4-14.3-18.0 -6.2 -3.4 -1.9 -1.4 -6.3   1
1916  0.1  0.0 -1.3 -5.3-12.6-10.6-11.2 -7.6-11.2 -4.3 -1.3 -0.6 -5.5   1
1917  0.4  0.6  0.2 -0.5 -1.8-10.2 -6.9 -8.7-11.3 -1.7 -0.4  0.3 -3.3   1
1918  1.9  1.1  0.2 -1.8 -9.1 -6.6 -7.5-16.1 -5.0 -0.5 -1.4 -0.4 -3.8   1
1919  0.9  0.8  0.4 -3.8 -8.6 -8.5 -6.8 -3.8 -4.5 -3.5 -4.9  0.2 -3.5   1
1920  0.3  0.0 -1.0 -1.7 -5.8 -8.9-10.0 -8.9 -8.8 -8.4 -2.0 -1.5 -4.7   1
1921 -0.7 -0.2 -0.5 -1.5-10.8 -6.1 -9.8-13.3 -6.4 -1.9 -3.2 -0.9 -4.6   1
1922  0.4  0.8 -1.4 -3.7 -9.8-10.0 -6.8 -9.7 -6.2 -3.4 -0.4 -0.1 -4.2   1
1923  0.5  1.2  0.1 -2.6 -3.9 -7.8 -9.4 -9.8-11.8 -3.1 -1.7 -2.3 -4.2   1
1924 -0.5 -2.5 -2.6 -5.8 -9.2 -8.0-14.5 -7.3 -5.7 -2.1 -2.8 -0.3 -5.1   1
1925  0.3  0.8 -1.0 -1.2 -3.6-10.6 -9.5 -9.0-10.6 -6.6 -2.5 -0.2 -4.5   1
1926  1.1  1.8 -0.9 -3.3 -3.8-14.7-10.3 -6.3 -6.8 -7.6 -1.3 -0.1 -4.3   1
1927  0.2 -0.7 -0.5 -3.3 -6.4 -9.5-11.3-17.7 -8.5 -4.4 -3.6 -0.2 -5.5   1
1928  0.4 -0.1  0.0 -7.5-15.0-15.9-11.6-12.9 -8.1 -5.1 -2.9 -1.5 -6.7   1
1929 -1.0 -1.0 -2.4 -5.6 -6.7-14.7-12.1-14.7 -4.0 -2.2 -0.7 -0.8 -5.5   1
1930  0.2  0.0 -1.1 -7.0 -6.1-18.1-21.2-10.8 -6.4 -9.5 -2.3 -1.1 -7.0   1
1931 -1.3 -0.5 -1.8 -4.4 -4.0 -9.0 -6.4 -6.5-10.7 -4.5 -3.3 -1.5 -4.5   1
1932  0.0 -0.2 -0.9 -2.5 -6.1-19.6-15.5 -7.2 -3.5 -2.5 -1.1 -1.4 -5.0   1
1933 -0.1 -0.4 -0.3 -3.7 -6.3-11.8 -7.7-12.3 -5.5 -7.0 -4.0 -2.2 -5.1   1
1934  0.2 -1.0 -1.4 -2.9 -9.4-13.7 -8.7 -8.4 -5.8 -2.7 -1.1  0.1 -4.6   1
1935  0.3  0.5  1.0 -3.2 -3.6 -6.5-17.0-14.9-12.8 -3.9 -3.4 -0.4 -5.3   1
1936  0.0  1.2  0.4 -0.7 -7.9-12.9 -7.6 -8.4 -4.9 -2.5 -0.8  1.1 -3.6   1
1937  1.3  0.7  0.9 -1.5 -2.1 -6.2 -8.8-11.8 -3.0 -2.8 -1.1 -0.6 -2.9   1
1938  0.2 -0.4 -0.7 -1.5 -8.9 -9.5-10.8-11.7 -8.6 -2.2 -2.9 -1.4 -4.9   1
1939  0.4  0.9 -0.5 -2.4 -5.9-16.3-13.1-19.5 -7.6 -1.6 -2.3 -1.1 -5.8   1
1940  0.2  1.0  0.4 -2.5 -4.7 -8.1 -7.3 -9.4 -4.8 -5.0 -1.1 -0.1 -3.4   1
1941  1.0  1.1 -1.4 -2.9 -3.9 -7.6 -4.7-12.1 -9.6 -5.2 -2.9 -1.1 -4.1   1
1942  0.1  0.7 -1.8 -7.2 -6.6-11.3 -5.0 -6.1-10.3 -7.3 -3.9 -0.9 -5.0   1
1943  0.1  0.2 -0.8 -1.4 -9.9 -3.7 -3.9 -4.9 -3.2 -1.9 -0.9 -0.2 -2.5   1
1944  0.7  0.4  1.2 -0.5 -4.1 -9.9 -8.8 -9.9 -8.7 -4.9 -2.7 -0.5 -4.0   3
1945 -0.3  0.7 -1.8 -5.6-10.0-15.8-13.1-12.6 -8.5 -3.0 -3.2 -0.5 -6.1   3
1946  0.1  0.0  0.0 -2.2 -4.6 -7.7 -8.5 -8.5 -5.8 -5.5 -4.0 -0.5 -3.9   3
1947  0.2  0.9  0.5 -1.7 -6.4-10.7 -8.0 -8.7 -6.9 -3.6 -1.1 -1.1 -3.9   4
1948  0.4 -0.4 -1.2 -3.8 -6.7 -6.3-13.3-12.1 -9.7 -4.0 -5.3 -0.4 -5.2   4
1949  0.0 -1.0 -2.9 -8.4 -7.8-12.9-13.0-12.4 -8.4 -4.5 -3.5 -0.5 -6.3   4
1950  0.0 -1.1 -1.2 -3.9-10.9 -7.5-10.4-14.4 -8.2 -4.9 -2.0 -0.3 -5.4   5
1951  0.0  0.4 -0.1 -0.6 -4.3 -6.9-10.5 -7.9 -9.2 -4.4 -2.0  0.4 -3.8  10
1952  1.1  1.1 -0.9 -3.9-10.0 -7.6 -9.7 -5.9 -4.0 -4.0 -1.2 -0.4 -3.8  11
1953 -0.1 -1.1 -2.5 -5.5 -8.7-10.0 -9.9 -6.5 -5.1 -3.8 -1.5  0.5 -4.5   9
1954  0.4  0.7 -2.3 -5.6 -7.6-11.6-12.3-15.6-12.6 -4.9 -1.8  0.0 -6.1  10
1955  1.0 -1.5 -4.8 -5.9 -8.1-11.2-10.7 -9.1 -9.6 -5.2 -2.6 -0.8 -5.7  13
1956  0.0 -1.9 -5.8 -9.9-11.6-12.0-14.0-15.3-12.5-10.2 -4.3 -0.6 -8.2  17
1957 -5.2 -9.3-14.6-17.3-19.5-21.7-25.0-22.6-20.9-17.7-10.4 -5.0-15.8  25
1958 -6.1 -9.8-17.2-22.4-24.8-27.8-27.8-28.8-26.4-19.4-12.1 -8.4-19.2  26
1959 -8.0-11.7-16.3-21.2-23.2-24.8-26.5-26.3-26.9-19.7-13.9 -6.8-18.8  27
1960 -7.9-12.2-19.9-22.8-24.7-26.6-28.3-26.7-25.2-20.0-13.4 -7.7-19.6  23
1961 -7.6-10.8-18.2-21.3-22.0-24.7-27.1-26.7-24.0-19.5-12.4 -7.9-18.5  24
1962 -6.5 -9.4-16.3-19.3-22.2-21.1-24.6-24.9-22.0-18.4-10.8 -6.1-16.8  26
1963 -5.0-10.9-17.9-22.0-23.6-22.8-24.9-24.0-20.7-21.0-12.5 -6.7-17.7  27
1964 -6.4-11.5-16.7-23.2-25.3-23.2-24.7-27.7-27.2-19.7-11.7 -7.2-18.7  26
1965 -6.3-10.4-17.7-21.5-23.0-24.9-26.7-26.2-26.1-20.7-13.4 -7.5-18.7  24
1966 -7.3-10.9-15.1-19.9-23.5-23.7-25.7-27.1-24.1-19.4-11.7 -6.4-17.9  26
1967 -5.0-10.5-16.6-21.4-23.2-24.6-24.1-25.0-24.4-20.1-12.0 -6.6-17.8  27
1968 -6.6-10.4-15.6-19.2-22.2-22.9-25.7-25.3-25.1-17.0-11.7 -5.9-17.3  26
1969 -5.3 -9.8-16.2-18.7-21.7-22.4-26.3-26.0-22.2-17.6-11.8 -5.6-17.0  26
1970 -5.3-10.4-14.6-19.5-21.9-23.1-22.8-25.3-20.0-15.8-10.5 -4.9-16.2  27
1971 -4.2 -9.5-15.0-18.1-21.3-23.0-23.8-23.0-22.0-17.3-11.3 -5.6-16.2  28
1972 -4.6 -9.0-15.8-18.7-21.6-22.4-24.4-22.7-21.7-18.0-11.5 -5.7-16.3  29
1973 -5.7-10.2-15.6-18.2-20.4-22.5-23.7-24.4-22.0-16.5 -9.2 -6.2-16.2  29
1974 -4.9 -9.2-15.6-20.2-20.4-20.4-22.8-21.2-21.2-15.9 -9.6 -4.4-15.5  32
1975 -4.6 -8.9-13.1-18.6-18.6-21.5-23.9-25.2-23.1-16.9-10.1 -5.3-15.8  32
1976 -4.7 -8.7-15.0-20.2-22.3-23.4-24.9-25.9-23.4-18.0-10.4 -4.5-16.8  31
1977 -3.3 -8.9-15.3-18.5-18.5-21.1-22.3-22.2-24.9-18.9-11.7 -5.7-15.9  31
1978 -5.6 -8.1-13.6-17.0-18.9-21.5-23.2-24.6-20.4-17.4-11.0 -5.5-15.6  32
1979 -4.3 -9.4-14.7-15.9-21.8-23.5-26.0-24.3-21.8-17.9-10.5 -4.9-16.2  32
1980 -4.1 -8.9-12.9-17.3-19.9-22.8-22.4-22.8-21.4-17.5-10.3 -5.6-15.5  34
1981 -4.8 -8.0-12.8-18.0-19.9-19.8-19.0-19.5-21.8-18.0-11.6 -5.7-14.9  39
1982 -4.4 -9.1-15.6-18.3-18.9-20.8-23.2-24.1-22.7-17.8 -8.9 -4.9-15.7  41
1983 -5.0-10.2-15.4-17.2-18.5-21.6-24.2-21.1-19.9-18.0-12.0 -6.1-15.8  43
1984 -4.2-10.1-14.0-17.9-18.5-23.1-22.6-21.9-19.6-18.2-10.8 -4.9-15.5  43
1985 -3.7-10.1-13.6-16.9-20.8-20.1-23.7-22.4-19.8-16.9-10.7 -5.9-15.4  45
1986 -5.6 -8.0-15.1-18.8-22.6-24.7-25.3-25.2-23.9-17.6-10.9 -5.7-16.9  52
1987 -4.5 -9.5-14.7-18.7-22.2-20.5-23.4-25.4-23.0-18.3-10.0 -4.7-16.2  60
1988 -5.3-10.0-15.0-18.8-19.3-21.7-24.4-22.3-20.3-14.9-10.7 -5.5-15.7  59
1989 -4.1 -8.2-14.7-17.8-21.4-22.6-20.2-21.6-18.6-15.5 -9.7 -4.2-14.9  58
1990 -3.3 -7.6-13.3-16.6-18.7-20.5-19.4-23.3-20.4-14.6 -7.9 -3.0-14.0  61
1991 -4.3 -7.3-15.1-17.1-21.4-20.2-21.5-21.9-21.1-17.9-10.6 -4.0-15.2  65
1992 -5.3-10.5-16.9-20.9-22.8-23.8-24.0-23.8-24.5-18.3-11.3 -6.4-17.4  68
1993 -4.5-10.9-17.8-22.4-25.5-25.8-25.2-25.4-22.8-18.1-11.9 -6.6-18.1  72
1994 -6.4-12.6-18.3-19.9-26.1-22.6-25.2-26.3-22.6-18.6-11.0 -7.7-18.1  77
1995 -7.3-11.4-17.4-22.8-25.3-24.9-25.0-26.8-24.8-19.0-12.7 -7.2-18.7  81
1996 -5.2-10.4-17.2-19.8-25.8-25.3-24.7-22.7-22.8-20.4-10.9 -5.7-17.6  85
1997 -6.6-12.8-18.8-24.1-24.3-23.5-29.1-28.8-26.2-18.4-11.6 -7.5-19.3  85
1998 -6.8-10.4-19.2-23.9-23.5-21.9-26.5-25.7-26.1-19.9-12.9 -7.3-18.7  77
1999 -6.7-12.1-19.3-24.1-26.4-24.9-26.9-27.9-24.1-19.0-12.7 -8.4-19.4  76
2000 -7.8-12.0-17.3-21.6-22.6-23.3-24.5-25.7-22.8-20.4-10.6 -6.7-17.9  76
2001 -6.8-11.4-20.7-22.9-23.0-23.6-25.3-27.6-22.8-18.3-12.5 -7.3-18.5  73
2002 -5.8-11.6-18.2-23.7-22.9-27.1-27.3-28.1-23.1-21.3-14.0 -8.1-19.3  74
2003 -4.3 -6.5-12.7-16.3-18.7-23.7-23.6-20.2-19.3-14.9 -9.7 -4.0-14.5  45
2004 -2.9 -5.9-14.3-19.0-19.0-20.3-24.0-21.1-19.0-15.7-10.1 -3.7-14.6  34
2005 -4.2-10.7-15.9-22.1-22.5-25.2-26.7-26.2-20.4-17.7-12.0 -5.5-17.4  54
2006 -6.1 -7.8-12.6-16.1-21.0-22.1-24.7-21.3-20.8-18.2 -9.8 -5.9-15.5  43
2007 -4.2 -7.3-12.3-19.1-16.3-18.8-22.6-21.2-20.1-16.4 -9.7 -5.5-14.5  34
2008 -6.0 -9.5-11.8-16.3-18.7-22.7-23.2-24.3-19.6-17.7-10.2 -5.4-15.4  33
     -5.0 -9.3-14.9-18.7-20.8-22.0-23.5-23.5-21.6-17.2-10.6 -5.5-16.1
     -2.6 -4.8 -8.2-11.5-14.3-16.5-17.5-17.2-14.8-11.0 -6.7 -3.3-10.7
 
For Country Code 7
 
-rw-rw-r--    1 chiefio  chiefio    409640 Nov  2 01:46 ./Temps/Temps.7
-rw-rw-r--    1 chiefio  chiefio    409640 Nov  2 01:46 ./Temps/v2.meanC.7
 
Clean up / Delete intermediate files (Y/N)? 

And After:

Look at ./Temps/Tempsts.7.yrs.GAT (Y/N)? Y
 
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
--------------------------------------------------------------------------
1903-99.0-99.0-99.0 -6.2 -8.2-12.4 -8.3 -7.4-10.2 -2.7 -1.4 -0.2 -6.3    1
1904  0.3  0.5  0.3 -3.8-11.8 -8.5-13.8-10.7 -6.3 -7.5 -0.4 -1.7 -5.3    1
1905 -0.3 -0.7 -0.1 -4.2 -8.1-11.8-16.4 -5.2 -3.2 -2.3 -1.3  0.1 -4.5    1
1906  1.2  0.5 -1.3 -1.5 -6.9-11.9-11.7 -8.4 -8.2 -4.2 -1.4 -0.3 -4.5    1
1907  0.5  1.5  0.2 -0.8 -4.4-11.3-11.9-16.6 -7.7 -4.6 -1.7 -1.3 -4.8    1
1908  0.0  1.3  0.3 -1.4 -4.0 -5.3-12.4 -6.1 -2.8 -2.3 -1.2 -0.5 -2.9    1
1909  1.1  0.7 -0.2 -3.4 -9.3-10.1-12.1 -6.5 -7.4 -2.3 -2.1 -0.8 -4.4    1
1910  0.0  0.9  0.5 -1.9 -2.8 -5.1 -7.9-11.4 -5.7 -3.1 -1.2 -1.4 -3.3    1
1911 -0.6  0.7 -0.6 -5.3 -5.8 -5.5 -8.8 -5.6 -3.9 -3.4 -4.3 -1.5 -3.7    1
1912  0.8  1.0 -1.5 -5.2 -9.6-11.4-14.2-13.1 -5.5 -4.5 -4.0 -1.2 -5.7    1
1913 -0.9 -0.4 -1.8 -2.3 -3.9-14.3-13.1 -7.7 -4.9 -5.2 -4.8  0.3 -4.9    1
1914 -0.1  0.7  0.5 -0.4 -3.2 -8.9-13.4 -7.4 -5.9 -5.7 -3.0  0.0 -3.9    1
1915 -0.5 -0.3 -0.5 -4.5-11.0-13.3-14.2-17.9 -6.1 -3.3 -1.8 -1.3 -6.2    1
1916  0.2  0.1 -1.2 -5.2-12.5-10.5-11.1 -7.5-11.1 -4.2 -1.2 -0.5 -5.4    1
1917  0.5  0.7  0.3 -0.4 -1.7-10.1 -6.8 -8.6-11.2 -1.7 -0.3  0.4 -3.2    1
1918  2.0  1.2  0.3 -1.7 -9.0 -6.5 -7.5-16.1 -4.9 -0.4 -1.3 -0.3 -3.7    1
1919  1.0  0.9  0.5 -3.7 -8.5 -8.4 -6.8 -3.7 -4.5 -3.4 -4.8  0.3 -3.4    1
1920  0.4  0.1 -0.9 -1.6 -5.7 -8.8 -9.9 -8.8 -8.7 -8.3 -1.9 -1.4 -4.6    1
1921 -0.6 -0.1 -0.4 -1.4-10.7 -6.0 -9.7-13.2 -6.3 -1.8 -3.1 -0.8 -4.5    1
1922  0.5  0.9 -1.3 -3.6 -9.7 -9.9 -6.7 -9.6 -6.1 -3.3 -0.3  0.0 -4.1    1
1923  0.6  1.3  0.2 -2.5 -3.8 -7.7 -9.3 -9.7-11.7 -3.0 -1.6 -2.2 -4.1    1
1924 -0.4 -2.4 -2.5 -5.7 -9.1 -7.9-14.4 -7.2 -5.6 -2.0 -2.7 -0.2 -5.0    1
1925  0.4  0.9 -0.9 -1.1 -3.5-10.5 -9.4 -8.9-10.5 -6.5 -2.5 -0.1 -4.4    1
1926  1.2  1.9 -0.8 -3.2 -3.7-14.6-10.3 -6.2 -6.7 -7.5 -1.2 -0.1 -4.3    1
1927  0.3 -0.6 -0.4 -3.2 -6.3 -9.4-11.3-17.6 -8.4 -4.3 -3.5 -0.1 -5.4    1
1928  0.5  0.0  0.1 -7.4-14.9-15.8-11.5-12.8 -8.0 -5.1 -2.8 -1.4 -6.6    1
1929 -0.9 -0.9 -2.3 -5.5 -6.6-14.6-12.0-14.6 -3.9 -2.1 -0.6 -0.7 -5.4    1
1930  0.3  0.0 -1.0 -6.9 -6.0-18.0-21.1-10.7 -6.3 -9.4 -2.2 -1.0 -6.9    1
1931 -1.2 -0.5 -1.7 -4.3 -3.9 -8.9 -6.3 -6.5-10.6 -4.5 -3.2 -1.4 -4.4    1
1932  0.1 -0.1 -0.8 -2.4 -6.1-19.5-15.5 -7.2 -3.4 -2.4 -1.0 -1.3 -5.0    1
1933  0.0 -0.3 -0.2 -3.6 -6.2-11.7 -7.6-12.3 -5.5 -6.9 -3.9 -2.1 -5.0    1
1934  0.3 -0.9 -1.3 -2.9 -9.3-13.6 -8.6 -8.3 -5.8 -2.6 -1.0  0.2 -4.5    1
1935  0.4  0.6  1.1 -3.1 -3.5 -6.4-16.9-14.8-12.7 -3.8 -3.3 -0.3 -5.2    1
1936  0.1  1.3  0.5 -0.6 -7.8-12.8 -7.5 -8.3 -4.8 -2.4 -0.7  1.2 -3.5    1
1937  1.4  0.8  1.0 -1.4 -2.0 -6.1 -8.7-11.7 -2.9 -2.7 -1.0 -0.5 -2.8    1
1938  0.3 -0.3 -0.6 -1.4 -8.9 -9.4-10.7-11.7 -8.5 -2.1 -2.9 -1.3 -4.8    1
1939  0.5  1.0 -0.4 -2.3 -5.9-16.2-13.0-19.4 -7.5 -1.6 -2.2 -1.0 -5.7    1
1940  0.3  1.1  0.5 -2.4 -4.6 -8.0 -7.3 -9.3 -4.7 -4.9 -1.0  0.0 -3.4    1
1941  1.1  1.2 -1.3 -2.8 -3.8 -7.5 -4.6-12.0 -9.5 -5.1 -2.8 -1.0 -4.0    1
1942  0.2  0.8 -1.7 -7.1 -6.5-11.2 -4.9 -6.0-10.2 -7.2 -3.8 -0.8 -4.9    1
1943  0.2  0.3 -0.7 -1.3 -9.9 -3.6 -3.9 -4.9 -3.1 -1.8 -0.9 -0.1 -2.5    1
1944  0.8  0.2  1.1 -0.4 -4.6-11.2 -9.2 -9.7 -8.7 -4.9 -2.0  0.0 -4.1    3
1945  0.3  1.4 -1.3 -5.6 -8.0-13.0-12.9-11.5 -8.3 -3.8 -3.3  0.0 -5.5    3
1946  0.5  0.0  0.0 -2.3 -4.3 -6.3 -8.4-11.2 -7.1 -7.4 -4.1 -0.4 -4.2    4
1947  0.5  1.4  0.7 -2.1 -6.3-11.1 -7.3 -8.6 -7.5 -4.0 -1.2 -0.8 -3.9    4
1948  0.8 -0.5 -1.4 -4.1 -7.1 -6.6-13.1-11.5-10.0 -4.2 -5.3 -0.2 -5.3    4
1949  0.2 -1.1 -3.8 -8.6 -7.9-12.7-12.1-12.6 -8.8 -4.8 -3.7 -0.3 -6.4    4
1950  0.2 -1.9 -2.7 -5.9-11.1 -9.5-11.3-14.6 -9.3 -6.0 -2.7 -0.4 -6.3    5
1951  0.2  0.4 -0.7 -1.2 -4.5 -7.6-10.3 -7.7 -9.0 -4.2 -1.6  0.7 -3.8   10
1952  1.4  1.3 -1.0 -3.4 -9.2 -6.3 -8.9 -5.7 -3.7 -3.7 -0.7 -0.3 -3.4   11
1953  0.0 -0.8 -2.5 -6.2 -7.7 -9.8 -8.5 -5.9 -4.8 -3.8 -0.9  0.7 -4.2   11
1954  0.6  0.6 -1.5 -3.4 -5.7 -9.9-11.2-14.3-10.5 -2.9 -1.0  0.3 -4.9   12
1955  1.6 -1.6 -4.6 -6.1 -9.0-10.8-10.5 -8.3-10.0 -5.3 -2.6 -1.1 -5.7   14
1956 -0.1 -2.3 -6.2 -8.3-11.8-10.3-12.7-12.9-11.2 -8.4 -3.6 -0.5 -7.4   17
1957 -3.0 -4.9-10.1-12.5-15.7-19.1-21.1-20.0-16.3-14.6 -7.2 -3.2-12.3   25
1958 -3.8 -7.9-13.1-16.8-20.5-23.9-24.0-24.3-21.8-15.1 -8.7 -6.1-15.5   26
1959 -4.7 -8.4-11.7-16.9-18.1-19.9-23.4-22.5-21.5-15.0-10.2 -4.7-14.8   27
1960 -5.8 -9.6-16.0-19.0-21.9-23.8-24.6-23.5-22.3-16.6-11.1 -6.0-16.7   27
1961 -6.3 -9.0-15.7-19.9-19.8-22.8-26.2-25.6-22.3-17.1-10.7 -6.2-16.8   27
1962 -5.4 -7.4-14.7-16.5-18.8-19.0-21.6-21.6-19.4-15.6 -9.1 -4.3-14.5   28
1963 -4.1 -8.1-13.7-17.8-19.1-19.5-21.8-21.0-18.7-17.4 -9.7 -4.9-14.6   29
1964 -4.4 -8.5-13.4-19.3-20.8-20.5-21.4-26.0-22.8-15.3 -8.6 -4.9-15.5   29
1965 -4.0 -7.3-13.1-17.5-18.9-21.2-23.4-23.2-21.3-16.9-10.0 -5.2-15.2   29
1966 -4.8 -8.1-11.5-16.6-20.2-21.2-22.7-24.0-20.5-16.1 -9.0 -4.3-14.9   29
1967 -3.2 -8.1-13.0-17.5-19.8-21.0-20.8-21.4-20.9-16.1 -9.6 -4.8-14.7   30
1968 -4.6 -8.3-13.0-16.6-19.7-20.9-22.4-23.1-22.1-14.4 -9.3 -4.9-14.9   29
1969 -4.0 -8.7-14.7-16.8-20.3-21.6-24.7-23.4-19.8-16.0-10.2 -4.1-15.4   28
1970 -3.9 -8.2-12.9-17.6-20.8-21.8-21.4-23.9-18.0-13.5 -8.8 -3.7-14.5   29
1971 -3.0 -7.9-12.6-15.5-19.2-19.9-21.5-20.4-20.0-14.9 -9.5 -4.3-14.1   30
1972 -3.7 -6.9-12.8-16.8-18.6-21.2-22.5-21.0-19.5-16.3 -9.9 -4.5-14.5   31
1973 -4.9 -7.7-12.3-15.2-17.4-19.7-20.4-21.2-19.1-13.1 -7.2 -4.7-13.6   31
1974 -3.0 -6.6-11.7-17.0-17.5-18.0-20.4-19.3-18.9-12.9 -7.7 -3.3-13.0   32
1975 -3.7 -6.5-10.5-15.7-16.2-19.8-21.3-22.5-19.5-12.9 -7.8 -3.7-13.3   32
1976 -3.4 -6.3-12.0-16.4-19.5-20.9-22.8-23.4-21.0-15.5 -8.4 -3.2-14.4   33
1977 -2.3 -6.9-12.3-14.9-15.4-17.8-20.1-19.7-22.1-16.0 -9.4 -4.3-13.4   33
1978 -4.3 -6.7-12.2-14.6-16.6-19.6-22.5-23.9-18.7-15.3 -9.4 -4.6-14.0   33
1979 -3.4 -7.7-12.0-13.3-19.9-21.1-23.6-22.5-19.5-15.7 -8.5 -3.8-14.2   33
1980 -3.4 -6.8-11.5-15.2-17.4-20.6-20.3-21.1-19.1-15.7 -8.9 -4.5-13.7   36
1981 -3.7 -7.2-11.3-16.3-18.3-18.7-18.7-20.0-20.4-16.7-10.3 -5.4-13.9   39
1982 -3.9 -8.4-14.6-18.1-18.6-21.6-23.5-23.0-22.3-17.0 -9.6 -4.1-15.4   41
1983 -4.2 -9.1-13.7-15.7-17.6-20.4-23.3-19.9-18.6-16.3-11.2 -5.1-14.6   43
1984 -4.5 -9.5-13.2-17.6-17.7-21.9-22.4-21.8-19.6-16.9-11.4 -5.1-15.1   43
1985 -4.6-10.3-14.3-17.0-18.6-20.1-24.5-22.5-20.8-17.1-10.3 -6.2-15.5   47
1986 -6.1 -8.9-15.5-20.3-23.2-25.2-25.8-26.1-25.0-17.4-11.7 -5.9-17.6   55
1987 -5.2-10.6-17.4-21.1-23.6-21.2-23.5-26.3-23.4-18.1-12.3 -5.1-17.3   62
1988 -6.2-11.1-16.9-20.4-21.3-22.2-25.1-21.6-21.1-15.8-12.2 -6.5-16.7   62
1989 -5.0-10.6-15.0-18.2-22.8-24.9-21.3-22.9-19.7-15.9-10.5 -4.8-16.0   64
1990 -4.6-10.2-15.7-19.3-20.9-22.0-21.1-24.0-21.2-15.7 -8.8 -4.0-15.6   70
1991 -5.6 -9.5-18.2-19.5-23.8-22.1-23.6-24.3-21.5-19.1-11.4 -4.5-16.9   75
1992 -5.8-10.6-16.4-21.1-22.9-23.7-23.5-23.0-24.0-18.5-11.0 -6.4-17.2   78
1993 -4.6-10.9-18.0-22.1-25.8-25.2-24.4-24.7-22.4-17.9-11.8 -6.6-17.9   82
1994 -6.5-13.1-19.9-20.8-27.0-24.0-26.2-26.8-23.9-19.5-11.8 -7.9-18.9   86
1995 -7.2-11.5-18.6-23.1-26.4-25.5-25.9-27.1-25.2-19.7-13.1 -7.6-19.2   88
1996 -5.8-11.4-18.5-20.8-27.1-27.0-26.2-23.4-24.3-21.2-11.9 -6.3-18.7   90
1997 -7.6-13.8-20.1-25.2-25.3-24.5-30.3-30.4-26.7-18.7-12.3 -8.1-20.2   90
1998 -8.0-11.6-20.2-25.4-24.7-23.1-27.8-27.2-27.1-20.6-13.9 -8.1-19.8   87
1999 -7.5-12.9-19.9-25.4-26.9-25.4-27.1-28.7-24.9-19.9-13.3 -9.2-20.1   87
2000 -8.4-12.9-17.9-22.3-24.3-24.7-25.1-27.0-24.5-21.6-11.3 -7.3-18.9   83
2001 -7.7-12.6-22.7-24.5-24.6-24.7-26.2-29.3-23.8-19.3-13.2 -7.9-19.7   81
2002 -6.2-12.8-19.4-24.6-23.7-28.4-29.0-29.8-23.7-21.6-14.2 -8.0-20.1   80
2003 -3.7 -6.2-12.3-16.0-18.4-23.8-23.9-19.8-18.2-14.0 -9.0 -3.8-14.1   60
2004 -2.6 -5.5-14.3-17.8-18.9-19.5-23.8-20.5-18.8-15.5 -9.8 -3.6-14.2   57
2005 -3.4-11.6-16.9-24.0-22.6-26.0-26.9-26.7-18.9-18.0-11.9 -5.6-17.7   57
2006 -6.5 -8.3-11.6-15.9-18.3-20.0-23.0-19.9-19.6-15.3 -8.1 -5.1-14.3   48
2007 -3.7 -7.1-11.5-18.1-16.7-19.1-21.8-20.1-18.7-15.4 -8.7 -4.9-13.8   36
2008 -5.3 -7.5-12.3-15.2-17.1-20.0-19.7-22.0-17.8-15.9 -8.6 -3.5-13.7   33
AA   -4.9 -9.3-15.0-18.7-20.8-21.8-23.2-23.2-21.0-16.5-10.2 -5.4-15.8
Ad   -2.2 -4.3 -7.7-10.8-13.6-15.9-16.9-16.6-14.1-10.3 -6.1 -2.9-10.1
 
From Ts File for Country Code 7
 
-rw-rw-r--    1 chiefio  chiefio    367336 Nov  5 23:23 ./Temps/Tempsts.7
-rw-rw-r--    1 chiefio  chiefio    367336 Nov  5 23:23 ./Temps/v2.meanCts.7
 
Clean up / Delete intermediate files (Y/N)? 

It is also of note that the very strong “locational bias” to the early data are still shining brightly through in this cut. Yes, we still have STEP2 and STEP3 to try and dampen down that 15C to 20C bias signal, but that is one heck of a lot of bias to filter out. And with what will it do the filtering? There simply were no center of the continent data from the early years. When the “Grid and Box” step comes, it does a “spiral out” search for thermometers to use in filling in the missing data, and that can only find warmer thermometers more north, since those are the only ones that exist in those early years… Yes, it will take those years and try to make an adjusted slope matched on overlap interval; but until 1900 the nearest Argentine thermometer was at more than 40 S latitude…

From an Antarctic perspective, the nearest “nearby up to 1200 km station” is rather far north!

Argentina:

       Year SP -86   -82   -78   -74   -70   -66   -62   -58   -54   -NP
DecPct: 1859   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0 100.0 100.0
DecPct: 1869   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0 100.0 100.0
DecPct: 1879   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0 100.0 100.0
DecPct: 1889   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0 100.0 100.0
DecPct: 1899   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0 100.0 100.0
DecPct: 1909   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   7.3  92.7 100.0
DecPct: 1919   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   7.2  92.8 100.0
DecPct: 1929   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0 100.0 100.0
DecPct: 1939   0.0   0.0   0.0   0.0   0.0   0.0   0.0   0.0   1.7  98.3 100.0
DecPct: 1949   0.0   0.0   0.0   0.0   0.0   0.0   0.6   0.0   1.6  97.8 100.0
DecPct: 1959   0.0   0.0   0.0   0.0   0.0   0.0   0.9   0.0   2.2  97.0 100.0
DecPct: 1969   0.0   0.0   0.0   0.0   0.0   0.0   3.5   0.0   1.8  94.7 100.0
DecPct: 1979   0.0   0.0   0.0   0.0   0.0   0.0   1.9   0.0   1.9  96.1 100.0
DecPct: 1989   0.0   0.0   0.0   0.0   0.0   0.0   1.6   0.0   1.7  96.7 100.0
DecPct: 1999   0.0   0.0   0.0   0.0   0.0   0.0   1.8   0.0   1.7  96.6 100.0
DecPct: 2009   0.0   0.0   0.0   0.0   0.0   0.0   1.8   0.0   1.8  96.4 100.0
 
For COUNTRY CODE: 301

Somehow I think the GIStemp process will be first shown significantly broken in those areas with the shortest temperature history, the most segmented records, most missing data, and the strongest variation of climate with latitude. And that would be Antarctica…

Indonesia

Having gotten the “temps” code going, I was curious what would happen with the “dropouts” in the 1991-1994 range. The strange thing is that it filled them in, but with “missing data flags”… Guess the “make up numbers” part comes later ;-) It is also odd to see that it has 28 thermometers, but can’t decide what value to make up for them. Even 1995 gets a bit of thermometer count ‘lift’.

Indonesia also has a sparse early history, so I was wondering what might happen “over the years” especially during the “Baseline” period of GIStemp.

It looks to me like, even with just one thermometer, GIStemp manages to COOL the past, while leaving the present more or less alone (maybe a little warming? It’s subtile. Inside my ‘visual integration’ error band…)

STEP1 is the Python step, and I can sort of puzzle out what Python is doing, but I’m not up to speed on the subtile parts that can make cumulative math errors (like what precision is carried in which variable types, how integers and floating point numbers interact, etc.) The intriguing thing to me, though, is that it changes the values for a single thermometer. Very strange. I’m going to have to revisit STEP1 code again and see if I can figure out what it would do to a single thermometer with no neighbors in the country. Maybe it’s ‘reaching’ around a bit for infill of the missing values and getting someplace cold?

Here is a bit of “the early years” for Indonesia so you can see the dropouts. -9999 is missing data.

5039674500001880  250  255  257  261  263  253  251  256  259  261  259  253
5039674500011880  254  267  270  266  266  254  256  263  269  268  266  261
5039674500001881  249  257  258  265  268  262  259  260  264  270  263  262
5039674500011881  266  260-9999  274  274  266  268  270  267  271  269  273
5039674500001882  255  258  257  263  259  255  257  260  258  258  257  258
5039674500011882  265  265  261  268  262  263  257  260  268  266  267  269
5039674500001883  253  252  261  260  263  265  260  260  262  261  256  253
5039674500011883  273  257  271  265  264  269  265  262  271  270  270  262
5039674500001884  252  251  254  261  262  261  254  260  264  265  260  253
5039674500011884  262  264  265  268  265  265  253  266  268  275  273  263
5039674500001885  249  250  253  262  262  263  261  260  266  272  262  259
5039674500011885  254  256  265  272  268  262  259  267  265-9999  273  266
5039674500001886  259  254  259  263  265  261  263  262  266  264  260  254
5039674500011886  268  262  267  270  273  268  263  267  270  274  273  278
5039674500001887  256  254  257  261  258  255  254  259  258  261  257  254
5039674500011887  265  257  268  270  266  261  253  263  260  268  269  267
5039674500001888  248  252  260  262  263  265  260  264  267  271  269  263
5039674500011888  255  259  270  271  269  270  256  260  262  277  283  273
5039674500001889  263  263  264  271  271  262  259  265  265  262  263  261
5039674500011889  276  271  270  280  278  272  268  262  273  274  271  274
5039674500001890  262  255  260  265  263  256  253  256  259  257  253  255
5039674500011890  274  272  265  270  267  262  259  262  261  270  262  265
5039674500001891  256  254  257  263  270  265  259  256  266  275  270  260
5039674500011891  262  261  269  269  271  264  260  257  273  283  279  272
5039674500001892  255  261  260  259  264  261  259  259  260  265  259  260
5039674500011892  264  268  277  269  265  267  265  262  260  272  272  274
5039674500001893  249  251  259  261  263  256  255  258  262  262  259  251
5039674500011893  265  260  264  270  272  259  258  263  268  267  273  264
5039674500001894  249  252  257  262  260  258  260  262  264  265  262  257
5039674500011894  261  259  266  270  260  258  259  266  273  275  271  268
5039674500001895  252  251  258  264  263  261  253  258  269  270  264  259
5039674500011895  266  262  267  268  272  266  256  262  275  281  273  271
5039674500001896  257  257  261  261  266  264  261  263  268  273  272  263
5039674500011896-9999  265  269  271  270  257  260  259  269  278  286  276
5039674500001897  269  263  264  264  272  268  263  265  270  268  264  262
5039674500011897  262  277  277  271  277  271  265  270  275  277  274-9999
5039674500001898  255  255  261  265  268  263  259  264  266  262  261  255
5039674500011898  267  266  267  275  276  270  263  266  271  269  272  269
5039674500001899  251  251  256  261  267  259  261  261  264  267  264  256
5039674500011899  269  264  266  267  269  268  266  261  268  278  278  266

And some later years:

[chiefio@tubularbells analysis]$ grepmean ^203 | more
2034185900001957-9999-9999-9999-9999  291  282  286  292  294  263  226  188
2034185900001958  186  197  249  282  283  286  295  281  291  274  234  196
2034185900001959  173  187  236  276  270  281  291  291  282  257  221  191
2034185900001960  172  213  227  291  300  283  286-9999  281  274  223  196
2034185900001961  186  181  244  279  278  282  294  293  289  266  218  168
2034185900001962  164  202  239  292  269  282  292  287  294  266  223  168
2034185900001963  173  209  234  269  266  287  287  291  296  268  218  195
2034185900001964  163  199  257  269  271  282  281  292-9999  275  232  181
2034185900001965  176  192  225  262  278  283  284  284  283  266  216  183
2034185900001966  175  215  252  297  293  282  287  288  284  254  219  185
2034185900001967  173  198  223  248  275  294  289-9999  292  263  231  197
2034185900001968  162-9999  212-9999-9999-9999-9999-9999-9999  264  228  184
2034185900001969-9999  191  222-9999  275-9999  296  295  289  262  224  188
2034185900001970  169  193  238-9999-9999  277  283  289  290  265  234  179
2034186300001931  184  193  233  287  275  295  283  293  281  271  219  189
2034186300001932  182  181  251  282  295  283  291  291  290  271  225  190
2034186300001935  171  202  249  283  294  283  293  279  284  268  226  181
2034186300001936  160  194  247  283  278  285  288  293  281  264  231  191
2034186300001937  162  192  233  292  283  294  295  287  288  274  221  183
2034186300001938-9999  186  256  297  274  284  286  289  292  273  216  185
2034186300001939-9999  198  257  303-9999  285  292  289  284  266  229  192
2034186300001940  174  195  223  282-9999  289  291  292  285-9999  252  185
2034186300001941-9999  199  263  293  276  286  292  291  292  263-9999  195
2034186300001942  177  196  249  273  286  296  296  287  279  253  232  174
2034186300001943  185  184  239  256  278  279  286  282  288  269-9999  194
2034186300001944  170  189  236  263  294  292  289  288  282  267  221  189
2034186300001945  171  178  247  276  276  288  293  286-9999-9999-9999  178
2034186300001946  183  211  265-9999-9999  286  288  294  288  265  231  194
2034186300001947  182  203  247  292  290  296  291-9999-9999-9999  223  195
2034186300001948  188  198  248  272  277  287  283  289  288  266  224  183
2034186300001949-9999  196  247  254  265  278  285  288  284  281  222-9999
2034186300001950-9999-9999-9999-9999  294  286  293  283-9999  270  217  185
2034186300001951  174  203  252  283  291  283  284  296  293  277  229  191
2034186300001952  186  209  230  277-9999  295  287  294  282  276  226  185
2034186300001953  169  213  259  284  291  286  286  297  284  269  224  204
2034186300001954  169  218  253  316  298  279  285  292  295  258  216  186

And here is the original v2.mean_comb chart of “after STEP0 but before STEP1” (and since STEP0 only changes data, via merging, for the USA, the v2.mean and v2.mean_comb values ought to be the same for any years after 1880.

Before:

Look at ./Temps/Temps.503.yrs.GAT (Y/N)? y
 
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 25.2 26.1 26.3 26.3 26.4 25.3 25.3 25.9 26.4 26.4 26.2 25.7 26.0    1
1881 25.7 25.8 25.8 26.9 27.1 26.4 26.3 26.5 26.5 27.0 26.6 26.7 26.4    1
1882 26.0 26.1 25.9 26.5 26.0 25.9 25.7 26.0 26.3 26.2 26.2 26.3 26.1    1
1883 26.3 25.4 26.6 26.2 26.3 26.7 26.2 26.1 26.6 26.5 26.3 25.7 26.2    1
1884 25.7 25.7 25.9 26.4 26.3 26.3 25.3 26.3 26.6 27.0 26.6 25.8 26.2    1
1885 25.1 25.3 25.9 26.7 26.5 26.2 26.0 26.3 26.5 27.2 26.7 26.2 26.2    1
1886 26.3 25.8 26.3 26.6 26.9 26.4 26.3 26.4 26.8 26.9 26.6 26.6 26.5    1
1887 26.0 25.5 26.2 26.5 26.2 25.8 25.3 26.1 25.9 26.4 26.3 26.0 26.0    1
1888 25.1 25.5 26.5 26.6 26.6 26.7 25.8 26.2 26.4 27.4 27.6 26.8 26.4    1
1889 26.9 26.7 26.7 27.5 27.4 26.7 26.3 26.3 26.9 26.8 26.7 26.7 26.8    1
1890 26.8 26.3 26.2 26.7 26.5 25.9 25.6 25.9 26.0 26.3 25.7 26.0 26.2    1
1891 25.9 25.7 26.3 26.6 27.0 26.4 25.9 25.6 26.9 27.9 27.4 26.6 26.5    1
1892 25.9 26.4 26.8 26.4 26.4 26.4 26.2 26.0 26.0 26.8 26.5 26.7 26.4    1
1893 25.7 25.5 26.1 26.5 26.7 25.7 25.6 26.0 26.5 26.4 26.6 25.7 26.1    1
1894 25.5 25.5 26.1 26.6 26.0 25.8 25.9 26.4 26.8 27.0 26.6 26.2 26.2    1
1895 25.9 25.6 26.2 26.6 26.7 26.3 25.4 26.0 27.2 27.5 26.8 26.5 26.4    1
1896 25.7 26.1 26.5 26.6 26.8 26.0 26.0 26.1 26.8 27.5 27.9 26.9 26.6    1
1897 26.5 27.0 27.0 26.7 27.4 26.9 26.4 26.7 27.2 27.2 26.9 26.2 26.8    1
1898 26.1 26.0 26.4 27.0 27.2 26.6 26.1 26.5 26.8 26.5 26.6 26.2 26.5    1
1899 26.0 25.7 26.1 26.4 26.8 26.3 26.3 26.1 26.6 27.2 27.1 26.1 26.4    1
1900 26.4 26.5 26.6 26.9 26.8 26.8 26.2 26.5 27.0 27.4 27.3 26.8 26.8    1
1901 26.3 25.7 25.9 27.0 27.3 26.5 26.2 26.1 26.9 27.2 27.1 26.4 26.6    1
1902 26.3 25.6 26.4 27.0 26.9 26.3 26.2 26.4 26.8 27.5 27.2 27.0 26.6    1
1903 26.8 26.1 27.0 27.0 26.6 26.5 26.3 26.8 27.3 26.6 26.9 25.8 26.6    1
1904 25.8 25.4 25.9 26.6 26.6 26.3 25.9 25.9 26.5 26.5 26.8 26.2 26.2    1
1905 26.4 26.2 27.1 26.8 26.6 27.3 26.4 26.5 26.7 27.8 27.1 27.1 26.8    1
1906 27.0 27.2 27.0 27.2 27.0 26.8 26.7 26.7 27.2 26.8 27.0 26.2 26.9    1
1907 26.3 26.0 26.4 26.5 26.7 26.1 26.4 26.1 26.6 27.2 26.9 26.4 26.5    1
1908 26.4 26.5 27.0 27.2 26.9 26.2 25.7 26.5 26.7 26.8 26.6 26.7 26.6    1
1909 26.8 26.5 26.7 27.0 27.0 26.3 26.3 26.9 27.0 27.1 26.3 25.7 26.6    1
1910 26.4 26.5 26.5 26.9 27.0 26.6 26.7 26.5 26.9 26.5 26.5 26.3 26.6    1
1911 26.1 25.7 26.8 27.3 27.0 26.9 26.2 25.8 26.9 27.3 26.9 27.0 26.7    1
1912 26.5 26.5 26.8 27.8 27.4 26.8 26.3 26.9 27.7 27.0 26.5 26.7 26.9    1
1913 26.7 26.6 26.3 27.0 27.0 26.5 26.7 26.3 27.0 27.4 27.1 26.9 26.8    1
1914 26.7 26.7 27.1 27.0 27.0 27.0 26.7 26.4 27.5 27.7 27.5 27.3 27.0    1
1915 26.8 26.9 27.3 26.9 27.2 26.7 26.5 26.2 26.6 27.5 27.0 26.4 26.8    1
1916 25.2 26.5 26.4 26.5 26.4 26.3 25.9 26.0 26.7 26.2 26.1 26.1 26.2    1
1917 25.6 25.8 26.4 26.6 26.8 26.7 26.8 26.9 26.6 26.3 26.9 25.5 26.4    1
1918 25.7 24.7 25.8 26.5 26.6 25.9 26.5 26.7 27.5 27.5 27.0 26.9 26.4    1
1919 26.6 26.6 26.9 27.2 26.7 26.5 26.2 26.6 27.1 27.6 26.5 26.2 26.7    1
1920 25.8 26.4 26.1 26.7 26.8 26.6 26.6 26.1 26.8 26.6 27.2 26.7 26.5    1
1921 26.5 26.1 26.6 26.7 27.2 26.3 26.6 26.8 27.0 27.4 26.6 26.5 26.7    1
1922 26.5 26.1 26.8 27.3 27.0 27.0 26.8 26.8 27.0 26.8 26.5 26.6 26.8    1
1923 25.9 26.2 27.0 27.2 27.4 26.9 26.2 26.0 26.7 27.5 27.3 26.9 26.8    1
1924 27.0 26.7 26.9 26.9 27.3 27.0 27.1 27.2 27.5 26.9 26.9 26.1 27.0    1
1925 26.3 26.1 26.4 26.6 26.9 26.8 26.7 26.9 27.9 27.7 27.3 27.0 26.9    1
1926 26.3 26.5 26.8 28.0 27.7 27.3 27.2 27.6 27.7 27.6 27.4 26.1 27.2    1
1927 26.5 26.5 26.6 27.1 26.8 26.7 26.8 27.2 27.5 27.5 27.1 26.9 26.9    1
1928 26.9 26.3 26.9 27.2 27.3 26.8 26.5 26.3 27.4 27.5 27.2 26.8 26.9    1
1929 26.0 26.4 26.2 27.1 27.3 26.9 26.4 26.9 27.5 27.5 27.1 26.3 26.8    1
1930 26.6 26.2 27.1 26.9 26.9 27.0 27.0 27.3 27.5 27.3 27.3 27.0 27.0    1
1931 26.7 27.2 27.2 27.2 27.3 27.1 26.4 27.1 27.2 27.4 26.6 26.7 27.0    3
1932 26.2 26.3 26.3 26.9 27.3 26.6 26.5 26.7 26.9 26.9 26.9 26.5 26.7    3
1933 26.6 26.2 26.6 26.6 27.1 26.7 26.5 27.1 26.7 27.1 26.5 26.3 26.7    3
1934 26.3 26.0 26.1 26.7 26.8 26.7 26.4 26.4 26.7 27.1 26.4 26.1 26.5    3
1935 26.4 26.6 27.0 26.6 27.2 26.5 26.1 26.3 26.6 27.1 27.0 26.9 26.7    3
1936 26.2 26.5 26.7 26.9 27.2 26.7 26.5 26.8 27.1 27.1 26.7 26.7 26.8    3
1937 26.1 26.8 26.9 26.9 26.9 26.7 26.1 26.6 26.9 27.1 27.3 26.2 26.7    3
1938 26.3 26.5 27.1 27.2 26.9 26.8 26.6 26.4 26.6 27.1 26.8 26.6 26.7    3
1939 26.3 26.4 26.7 27.0 26.9 26.4 26.7 26.8 26.6 26.7 27.0 26.7 26.7    3
1940 26.2 26.5 26.7 27.4 27.3 26.8 26.7 26.2 27.1 27.5 27.0 26.7 26.8    3
1941 26.8 27.0 27.3 27.6 27.5 27.4 26.5 26.6 26.6 26.9 27.3 26.9 27.0    3
1942 27.2 27.1 27.3 27.3 27.5 27.1 26.2 26.7 27.1 28.0 27.1 27.2 27.2    2
1943 26.3 26.3 26.6 27.0 27.2 26.7 26.5 27.1 27.5 27.1 26.7 26.7 26.8    1
1944 26.8 26.7 26.9 27.0 27.0 26.6 26.2 26.5 26.8 27.4 27.5 26.8 26.8    2
1945 27.2 26.8 26.9 27.2 27.0 26.3 26.1 26.7 27.2 27.5 26.8 27.3 26.9    2
1946 27.5 26.5 27.0 27.3 26.8 26.8 26.7 27.2 27.0 27.5 27.6 27.8 27.1    2
1947 27.7 27.5 27.1 26.8 27.4 27.2 25.7 26.2 26.1 26.9 26.4 27.4 26.9    3
1948 26.5 27.0 27.3 27.3 27.1 26.6 26.8 26.7 26.9 27.2 26.9 28.1 27.0    3
1949 26.8 26.5 26.6 26.7 26.6 26.1 25.6 25.7 26.8 27.1 26.6 27.0 26.5    7
1950 26.4 26.1 26.8 26.7 26.6 26.6 25.7 25.9 26.4 26.6 26.3 26.1 26.3    7
1951 25.7 25.7 26.4 26.4 26.4 26.1 25.5 25.9 26.6 27.2 27.8 27.0 26.4   10
1952 26.8 26.6 26.5 26.7 26.6 26.3 25.8 26.0 26.9 27.1 26.8 26.3 26.5   12
1953 26.1 26.2 26.6 26.7 26.5 26.2 25.8 26.1 26.6 27.2 27.2 26.8 26.5   13
1954 26.6 26.3 26.7 26.8 26.6 26.3 25.4 26.0 26.0 26.6 26.3 25.9 26.3   14
1955 26.1 26.0 26.3 26.2 26.5 26.0 25.5 25.8 26.3 26.3 25.8 26.0 26.1   13
1956 25.7 26.1 26.5 26.7 26.5 26.2 25.8 25.9 26.1 26.8 26.5 26.0 26.2   18
1957 26.1 26.0 26.4 27.0 26.8 26.6 26.1 26.0 26.3 26.8 27.1 26.5 26.5   18
1958 26.7 26.5 26.7 26.9 27.0 26.6 26.3 26.1 26.6 26.9 26.8 26.4 26.6   18
1959 25.9 26.3 26.4 26.4 26.5 26.0 25.5 25.4 26.1 26.6 26.8 26.5 26.2   19
1960 26.2 26.1 26.5 26.9 26.9 26.4 26.1 26.5 26.7 27.2 26.7 26.7 26.6   49
1961 26.3 26.5 26.9 27.1 27.1 26.2 25.9 25.9 26.5 27.1 27.2 26.8 26.6   51
1962 26.2 26.2 26.6 26.9 27.1 26.7 26.4 26.2 26.7 27.2 27.2 26.6 26.7   55
1963 25.8 26.0 26.4 27.2 27.3 26.9 26.3 26.2 26.8 27.2 27.6 27.0 26.7   56
1964 27.1 26.9 26.8 27.2 27.3 26.6 26.3 26.5 26.9 26.7 26.7 26.5 26.8   57
1965 25.9 26.4 26.5 26.8 26.9 26.6 26.1 26.2 26.8 27.3 27.6 27.2 26.7   54
1966 26.7 26.6 26.9 27.3 27.3 26.5 26.4 26.6 27.1 27.2 27.3 26.8 26.9   55
1967 26.4 26.5 26.7 27.0 27.1 26.5 26.1 26.4 26.8 27.4 27.3 26.8 26.8   56
1968 26.4 26.4 26.8 27.1 27.0 26.7 26.3 26.3 26.9 27.1 27.1 26.7 26.7   54
1969 26.8 26.8 27.3 27.3 27.3 26.7 26.2 26.3 26.7 27.2 27.3 26.9 26.9   55
1970 26.7 26.9 27.1 27.2 27.1 26.7 26.1 26.1 26.6 27.1 26.8 26.5 26.7   51
1971 26.2 26.3 26.4 26.8 26.8 26.2 25.9 26.2 26.8 26.8 26.5 26.6 26.5   50
1972 26.1 26.6 26.4 26.8 26.8 26.4 26.1 26.4 26.7 27.1 27.6 27.4 26.7   54
1973 27.0 27.2 27.0 27.3 27.0 26.9 26.5 26.7 26.7 27.2 27.0 26.4 26.9   51
1974 26.0 26.0 26.4 26.7 26.9 26.4 26.1 26.4 26.6 26.9 26.8 26.4 26.5   53
1975 26.4 26.3 26.5 27.0 26.8 26.3 26.2 26.4 26.6 26.7 26.6 26.3 26.5   52
1976 25.9 26.0 26.3 26.3 26.8 26.1 25.7 26.1 26.6 26.6 26.6 26.6 26.3   38
1977 26.2 25.9 26.2 26.8 26.8 26.2 26.1 25.8 26.5 27.1 27.3 26.6 26.5   40
1978 26.3 26.4 26.8 26.8 27.2 26.4 26.0 26.4 26.2 26.8 26.9 26.4 26.5   42
1979 26.6 26.7 26.7 27.0 27.2 26.6 26.0 26.4 26.8 27.1 27.0 26.5 26.7   42
1980 26.5 26.7 26.7 27.0 27.2 26.8 26.5 26.2 26.7 27.1 26.8 26.6 26.7   42
1981 26.2 26.3 26.8 26.9 27.3 26.9 26.6 26.8 26.6 27.3 27.2 26.5 26.8   41
1982 26.5 26.5 26.6 27.0 26.8 26.4 26.0 26.1 26.3 26.9 27.4 27.3 26.6   37
1983 26.9 27.2 27.6 27.6 27.1 26.9 26.3 26.6 26.8 27.2 27.0 26.9 27.0   39
1984 26.1 26.2 26.4 26.9 26.7 26.4 26.1 26.4 26.2 27.0 27.1 26.5 26.5   40
1985 26.5 26.7 27.0 27.0 27.3 26.7 26.0 26.2 26.5 27.0 27.0 27.2 26.8   33
1986 26.5 26.7 26.8 27.3 27.2 26.9 26.4 26.1 26.8 27.1 27.3 27.2 26.9    9
1987 26.9 26.9 27.2 27.4 27.5 27.1 26.5 26.5 26.9 27.3 27.5 27.2 27.1   30
1988 27.0 27.1 27.4 27.4 27.2 26.8 26.5 26.7 26.8 27.3 27.2 26.7 27.0   27
1989 27.0 26.7 26.8 27.1 27.0 26.7 26.4 26.4 26.8 27.2 27.2 27.1 26.9   31
1990 26.5 27.0 27.1 27.8 27.5 26.8 26.3-99.0-99.0-99.0 27.7 26.4 27.0   30
1991 26.6-99.0-99.0 27.2 26.9 26.8-99.0-99.0-99.0-99.0-99.0-99.0 26.9   27
1995-99.0-99.0-99.0-99.0 27.2-99.0 27.5-99.0 28.3 27.8-99.0-99.0 27.7   11
1996 26.3 25.8-99.0 26.8 27.7 26.6 26.7-99.0 27.1-99.0 27.0 27.6 26.8   14
1997-99.0 26.6 27.1 27.7 27.6 26.8 26.4 26.0 26.1-99.0 25.8 28.5 26.9   19
1998-99.0 27.6 27.5 27.2 28.3 28.3-99.0 27.7 27.1 26.8 27.2 27.0 27.5   12
1999-99.0-99.0 25.9-99.0 27.0 27.0 26.0 27.2-99.0 26.6 26.7 27.2 26.7   12
2000-99.0 26.9 26.7-99.0 27.0 26.0 26.9 26.0 26.8 26.9 27.2 26.5 26.7   16
2001 26.6 27.0 27.0 27.2 27.2 26.8 25.9 26.6 27.0 27.0 26.7 26.7 26.8   15
2002 26.9 27.0 27.2 27.6 27.5 26.8 26.6 26.8 26.6 27.1 27.2 27.2 27.0   13
2003 26.7 27.3 26.8 27.0 27.3 27.2 26.2 26.2 26.9 27.1 27.7 26.9 26.9   16
2004 27.6 27.0 27.1 28.1 27.5 27.1 26.7 26.7 26.5 27.2 27.4 27.1 27.2   18
2005 27.1 27.7 27.5 27.2 27.4 27.1 26.8 26.5 26.6 27.9 27.3 27.0 27.2   15
2006 26.6 26.9 27.3 27.2 27.3 26.7 26.3 26.2 26.3 27.0 27.8 27.8 26.9   18
2007 27.4 27.1 27.1 27.3 27.5 26.8 26.1 26.0 26.6 27.5 27.4 27.2 27.0   21
2008-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0 27.0 27.3 27.6 27.0 27.2   28
AA   26.4 26.5 26.7 27.0 27.0 26.6 26.2 26.3 26.7 27.1 27.1 26.7 26.7
Ad   26.4 26.4 26.7 27.0 27.0 26.6 26.2 26.4 26.8 27.1 26.9 26.7 26.7
 
For Country Code 503
 
-rw-rw-r--    1 chiefio  chiefio    250019 Nov  5 21:23 ./Temps/Temps.503
-rw-rw-r--    1 chiefio  chiefio    250019 Nov  5 21:23 ./Temps/v2.meanC.503
 
Clean up / Delete intermediate files (Y/N)? n

After:

 
Look at ./Temps/Tempsts.503.yrs.GAT (Y/N)? y
 
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 24.9 25.8 26.0 26.0 26.1 25.0 25.0 25.6 26.1 26.1 25.9 25.4 25.7    1
1881 25.4 25.5 25.8 26.6 26.8 26.1 26.0 26.2 26.2 26.7 26.3 26.4 26.2    1
1882 25.7 25.8 25.6 26.2 25.7 25.6 25.4 25.7 26.0 25.9 25.9 26.0 25.8    1
1883 26.0 25.1 26.3 25.9 26.0 26.4 25.9 25.8 26.3 26.2 26.0 25.4 25.9    1
1884 25.4 25.4 25.6 26.1 26.0 26.0 25.0 26.0 26.3 26.7 26.3 25.5 25.9    1
1885 24.8 25.0 25.6 26.4 26.2 25.9 25.7 26.0 26.2 27.2 26.4 25.9 25.9    1
1886 26.0 25.5 26.0 26.3 26.6 26.1 26.0 26.1 26.5 26.6 26.3 26.3 26.2    1
1887 25.7 25.2 25.9 26.2 25.9 25.5 25.0 25.8 25.6 26.1 26.0 25.7 25.7    1
1888 24.8 25.2 26.2 26.3 26.3 26.4 25.5 25.9 26.1 27.1 27.3 26.5 26.1    1
1889 26.6 26.4 26.4 27.2 27.1 26.4 26.0 26.0 26.6 26.5 26.4 26.4 26.5    1
1890 26.5 26.0 25.9 26.4 26.2 25.6 25.3 25.6 25.7 26.0 25.4 25.7 25.9    1
1891 25.6 25.4 26.0 26.3 26.7 26.1 25.6 25.3 26.6 27.6 27.1 26.3 26.2    1
1892 25.6 26.1 26.5 26.1 26.1 26.1 25.9 25.7 25.7 26.5 26.2 26.4 26.1    1
1893 25.4 25.2 25.8 26.2 26.4 25.4 25.3 25.7 26.2 26.1 26.3 25.4 25.8    1
1894 25.2 25.2 25.8 26.3 25.7 25.5 25.6 26.1 26.5 26.7 26.3 25.9 25.9    1
1895 25.6 25.3 25.9 26.3 26.4 26.0 25.1 25.7 26.9 27.2 26.5 26.2 26.1    1
1896 25.7 25.8 26.2 26.3 26.5 25.7 25.7 25.8 26.5 27.2 27.6 26.6 26.3    1
1897 26.2 26.7 26.7 26.4 27.1 26.6 26.1 26.4 26.9 26.9 26.6 26.2 26.6    1
1898 25.8 25.7 26.1 26.7 26.9 26.3 25.8 26.2 26.5 26.2 26.3 25.9 26.2    1
1899 25.7 25.4 25.8 26.1 26.5 26.0 26.0 25.8 26.3 26.9 26.8 25.8 26.1    1
1900 26.1 26.2 26.3 26.6 26.5 26.5 25.9 26.2 26.7 27.1 27.0 26.5 26.5    1
1901 26.0 25.4 25.6 26.7 27.0 26.2 25.9 25.8 26.6 26.9 26.8 26.1 26.2    1
1902 26.0 25.3 26.1 26.7 26.6 26.0 25.9 26.1 26.5 27.2 26.9 26.7 26.3    1
1903 26.5 25.8 26.7 26.7 26.3 26.2 26.0 26.5 27.0 26.3 26.6 25.5 26.3    1
1904 25.5 25.1 25.6 26.3 26.3 26.0 25.6 25.6 26.2 26.2 26.5 25.9 25.9    1
1905 26.1 25.9 26.8 26.5 26.3 27.0 26.1 26.2 26.4 27.5 26.8 26.8 26.5    1
1906 26.7 26.9 26.7 26.9 26.7 26.5 26.4 26.4 26.9 26.5 26.7 25.9 26.6    1
1907 26.0 25.7 26.1 26.2 26.4 25.8 26.1 25.8 26.3 26.9 26.6 26.1 26.2    1
1908 26.1 26.2 26.7 26.9 26.6 25.9 25.4 26.2 26.4 26.5 26.3 26.4 26.3    1
1909 26.5 26.2 26.4 26.7 26.7 26.0 26.0 26.6 26.7 26.8 26.0 25.4 26.3    1
1910 26.1 26.2 26.2 26.6 26.7 26.3 26.4 26.2 26.6 26.2 26.5 26.0 26.3    1
1911 25.8 25.4 26.5 27.0 26.7 26.6 25.9 25.5 26.6 27.0 26.6 26.7 26.4    1
1912 26.2 26.2 26.5 27.5 27.1 26.5 26.0 26.6 27.4 26.7 26.2 26.4 26.6    1
1913 26.4 26.3 26.0 26.7 26.7 26.2 26.4 26.0 26.7 27.1 26.8 26.6 26.5    1
1914 26.4 26.4 26.8 26.7 26.7 26.7 26.4 26.1 27.2 27.4 27.2 27.0 26.8    1
1915 26.5 26.6 27.0 26.6 26.9 26.4 26.2 25.9 26.3 27.2 26.7 26.1 26.5    1
1916 25.2 26.2 26.1 26.2 26.1 26.0 25.6 25.7 26.7 25.9 25.8 25.8 25.9    1
1917 25.3 25.5 26.1 26.3 26.5 26.4 26.5 26.6 26.3 26.0 26.6 25.2 26.1    1
1918 25.4 24.4 25.5 26.2 26.3 25.6 26.2 26.4 27.2 27.2 26.7 26.6 26.1    1
1919 26.3 26.3 26.6 26.9 26.4 26.2 25.9 26.3 26.8 27.3 26.2 26.2 26.5    1
1920 25.5 26.1 25.8 26.4 26.5 26.3 26.3 25.8 26.5 26.3 26.9 26.4 26.2    1
1921 26.2 25.8 26.3 26.4 26.9 26.0 26.3 26.5 26.7 27.1 26.3 26.2 26.4    1
1922 26.2 25.8 26.5 27.0 26.7 26.7 26.5 26.5 26.7 26.5 26.2 26.3 26.5    1
1923 25.6 25.9 26.7 26.9 27.1 26.6 25.9 25.7 26.4 27.5 27.0 26.6 26.5    1
1924 26.7 26.4 26.6 26.6 27.0 26.7 26.8 26.9 27.2 26.6 26.6 25.8 26.7    1
1925 26.0 25.8 26.1 26.3 26.6 26.5 26.4 26.6 27.6 27.4 27.3 26.7 26.6    1
1926 26.0 26.2 26.5 27.7 27.4 27.0 26.9 27.3 27.4 27.3 27.4 26.1 26.9    1
1927 26.2 26.2 26.3 26.8 26.5 26.4 26.5 26.9 27.2 27.2 26.8 26.6 26.6    1
1928 26.6 26.3 26.6 26.9 27.0 26.5 26.2 26.0 27.1 27.2 26.9 26.5 26.6    1
1929 25.7 26.1 25.9 26.8 27.0 26.6 26.1 26.6 27.2 27.2 26.8 26.0 26.5    1
1930 26.3 25.9 26.8 26.6 26.6 26.7 26.7 27.0 27.2 27.0 27.0 26.7 26.7    1
1931 26.9 27.3 27.4 27.3 27.4 27.2 26.5 27.1 27.2 27.4 26.8 26.8 27.1    3
1932 26.3 26.4 26.5 26.9 27.3 26.7 26.6 26.6 26.9 27.2 26.9 26.5 26.7    3
1933 26.6 26.3 26.6 26.7 27.2 26.8 26.4 27.2 26.9 27.1 26.5 26.3 26.7    3
1934 26.3 26.1 26.2 26.7 26.8 26.7 26.5 26.5 26.7 27.1 26.4 26.1 26.5    3
1935 26.5 26.9 27.1 26.7 27.2 26.5 26.3 26.2 26.5 27.0 27.1 27.0 26.8    3
1936 26.2 26.7 26.8 27.1 27.2 26.8 26.6 26.8 27.0 27.1 26.7 26.7 26.8    3
1937 26.2 26.9 27.2 27.0 26.9 26.7 26.2 26.5 26.9 27.1 27.3 26.2 26.8    3
1938 26.4 26.6 27.2 27.3 27.0 26.8 26.7 26.5 26.6 27.1 26.9 26.6 26.8    3
1939 26.5 26.5 26.7 27.1 26.9 26.4 26.8 26.8 26.7 26.8 27.0 26.7 26.7    3
1940 26.3 26.7 26.6 27.4 27.3 26.8 26.8 26.3 27.2 27.6 27.1 26.8 26.9    3
1941 26.8 27.1 27.3 27.6 27.6 27.4 26.6 26.6 26.6 27.0 27.3 26.9 27.1    3
1942 27.1 27.0 27.1 27.2 27.4 27.0 26.1 26.5 27.0 27.9 27.0 27.1 27.0    3
1943 26.0 26.0 26.3 26.7 26.9 26.4 26.2 26.8 27.2 26.8 26.4 26.4 26.5    3
1944 26.7 26.6 26.8 26.9 26.9 26.5 26.1 26.4 26.6 27.3 27.4 26.7 26.7    3
1945 27.1 26.6 26.8 27.1 26.9 26.2 26.0 26.6 27.1 27.2 26.5 26.6 26.7    3
1946 27.2 26.2 26.3 26.9 26.4 26.6 26.5 27.0 26.7 27.2 27.3 27.5 26.8    3
1947 27.4 27.1 26.8 26.6 27.1 26.9 25.7 26.1 26.1 26.7 26.3 27.1 26.7    4
1948 26.5 26.7 26.9 27.0 27.1 26.7 26.5 26.2 26.5 27.1 26.9 28.0 26.8    4
1949 26.7 26.4 26.6 26.7 26.7 26.0 25.6 25.7 26.8 27.0 26.8 26.9 26.5    7
1950 26.5 26.1 26.8 26.8 26.6 26.6 25.7 25.9 26.4 26.7 26.4 26.1 26.4    7
1951 25.5 25.3 26.0 26.1 26.0 25.7 25.0 25.3 26.2 26.9 27.6 26.8 26.0   10
1952 26.7 26.3 26.2 26.3 26.2 25.8 25.6 25.5 26.5 26.7 26.5 26.1 26.2   12
1953 26.0 26.0 26.4 26.5 26.2 25.9 25.4 25.7 26.2 27.0 27.0 26.6 26.2   13
1954 26.5 26.3 26.6 26.7 26.4 25.9 25.1 25.7 25.8 26.4 26.1 25.6 26.1   14
1955 25.9 25.7 26.0 26.0 26.2 25.6 25.1 25.4 26.0 26.2 25.6 25.9 25.8   14
1956 25.7 26.0 26.3 26.5 26.3 25.9 25.6 25.6 25.9 26.6 26.4 25.8 26.0   18
1957 26.1 25.9 26.2 26.7 26.5 26.3 25.8 25.7 26.0 26.7 27.0 26.5 26.3   18
1958 26.5 26.3 26.5 26.7 26.8 26.3 26.0 25.8 26.3 26.7 26.6 26.4 26.4   19
1959 25.7 26.0 26.2 26.0 26.2 25.6 25.1 25.0 25.6 26.3 26.5 26.2 25.9   20
1960 26.1 26.0 26.4 26.8 26.7 26.1 25.8 26.2 26.5 27.0 26.6 26.6 26.4   50
1961 26.3 26.5 26.8 27.0 27.0 26.1 25.8 25.7 26.2 26.9 27.1 26.8 26.5   56
1962 26.2 26.1 26.5 26.7 27.0 26.6 26.3 26.0 26.6 27.1 27.1 26.5 26.6   57
1963 25.8 26.0 26.4 27.1 27.2 26.7 26.2 26.1 26.5 27.1 27.4 27.0 26.6   57
1964 27.0 26.9 26.7 27.0 27.2 26.5 26.2 26.4 26.9 26.7 26.7 26.5 26.7   57
1965 25.9 26.4 26.4 26.8 26.9 26.5 25.9 26.1 26.7 27.3 27.6 27.2 26.6   58
1966 26.8 26.5 26.9 27.2 27.2 26.4 26.3 26.5 27.0 27.2 27.2 26.8 26.8   58
1967 26.4 26.5 26.7 26.9 26.9 26.3 25.9 26.3 26.7 27.3 27.2 26.7 26.7   58
1968 26.3 26.3 26.8 26.9 27.0 26.6 26.2 26.2 26.8 27.0 26.9 26.6 26.6   58
1969 26.7 26.7 27.1 27.2 27.2 26.6 26.1 26.3 26.6 27.0 27.2 26.8 26.8   58
1970 26.6 26.8 26.9 27.0 26.9 26.6 26.0 25.9 26.5 27.0 26.7 26.5 26.6   58
1971 26.1 26.2 26.3 26.7 26.7 26.1 25.8 26.1 26.7 26.7 26.4 26.5 26.4   58
1972 25.9 26.5 26.3 26.8 26.7 26.3 26.0 26.3 26.6 27.1 27.5 27.3 26.6   58
1973 26.9 27.0 26.9 27.2 26.9 26.8 26.4 26.6 26.6 27.1 27.0 26.4 26.8   58
1974 25.9 25.9 26.3 26.6 26.8 26.2 25.9 26.2 26.4 26.8 26.6 26.3 26.3   58
1975 26.3 26.2 26.4 26.9 26.7 26.2 26.0 26.3 26.5 26.6 26.5 26.2 26.4   57
1976 25.9 26.1 26.4 26.5 26.9 26.2 25.7 26.2 26.7 26.7 26.7 26.7 26.4   48
1977 26.3 25.9 26.2 26.9 26.9 26.3 26.1 25.9 26.5 27.2 27.4 26.6 26.5   48
1978 26.4 26.5 26.8 26.8 27.2 26.4 26.0 26.4 26.2 26.9 26.8 26.4 26.6   48
1979 26.6 26.7 26.7 27.1 27.2 26.7 26.1 26.4 26.8 27.1 27.1 26.6 26.8   47
1980 26.5 26.6 26.7 27.0 27.3 26.8 26.6 26.3 26.8 27.0 26.8 26.6 26.8   46
1981 26.1 26.3 26.8 26.8 27.4 27.0 26.8 26.9 26.6 27.3 27.2 26.4 26.8   45
1982 26.4 26.5 26.6 27.0 26.8 26.4 26.1 26.2 26.3 26.8 27.2 27.4 26.6   44
1983 26.8 27.2 27.6 27.5 27.0 27.0 26.3 26.6 26.7 27.1 26.9 26.7 27.0   44
1984 26.1 26.0 26.4 26.8 26.6 26.4 26.0 26.4 26.1 26.7 27.0 26.4 26.4   44
1985 26.5 26.7 27.0 27.1 27.2 26.7 26.1 26.2 26.5 26.9 27.1 27.1 26.8   43
1986 26.5 26.8 26.9 27.4 27.2 27.1 26.6 26.3 26.8 27.1 27.1 27.1 26.9   41
1987 26.9 26.8 27.0 27.3 27.7 27.3 26.5 26.6 26.9 27.3 27.5 27.1 27.1   41
1988 26.8 26.9 27.4 27.4 27.2 26.8 26.5 26.7 26.8 27.0 27.0 26.6 26.9   39
1989 26.9 26.8 26.8 27.1 26.9 26.6 26.4 26.3 26.6 27.1 27.1 26.9 26.8   39
1990 26.3 26.9 26.9 27.9 27.5 26.9 26.4-99.0-99.0-99.0 27.7 26.5 27.0   38
1991 26.6-99.0-99.0 27.2 26.9 26.9-99.0-99.0-99.0-99.0-99.0-99.0 26.9   37
1992-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0  NaN   28
1993-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0  NaN   28
1994-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0  NaN   28
1995-99.0-99.0-99.0-99.0 27.2-99.0 27.5-99.0 28.3 27.8-99.0-99.0 27.7   28
1996 26.3 25.8-99.0 26.8 27.7 26.6 26.7-99.0 27.1-99.0 27.0 27.6 26.8   28
1997-99.0 26.6 27.1 27.7 27.6 26.8 26.4 26.0 26.1-99.0 25.8 28.5 26.9   28
1998-99.0 27.6 27.5 27.2 28.3 28.3-99.0 27.7 27.1 26.8 27.2 27.0 27.5   28
1999-99.0-99.0 25.9-99.0 27.0 27.0 26.0 27.2-99.0 26.6 26.7 27.2 26.7   28
2000-99.0 26.9 26.7-99.0 27.0 26.0 26.9 26.0 26.8 26.9 27.2 26.5 26.7   28
2001 26.6 27.0 27.0 27.2 27.2 26.8 25.9 26.6 27.0 27.0 26.7 26.7 26.8   28
2002 26.9 27.0 27.2 27.6 27.5 26.8 26.6 26.8 26.6 27.1 27.2 27.2 27.0   28
2003 26.7 27.3 26.8 27.0 27.3 27.2 26.2 26.2 26.9 27.1 27.7 26.9 26.9   28
2004 27.6 27.0 27.1 28.1 27.5 27.1 26.7 26.7 26.5 27.2 27.4 27.1 27.2   28
2005 27.1 27.7 27.5 27.2 27.4 27.1 26.8 26.5 26.6 27.9 27.3 27.0 27.2   28
2006 26.6 26.9 27.3 27.2 27.3 26.7 26.3 26.2 26.3 27.0 27.8 27.8 26.9   28
2007 27.4 27.1 27.1 27.3 27.5 26.8 26.1 26.0 26.6 27.5 27.4 27.2 27.0   28
2008-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0 27.0 27.3 27.5 27.0 27.2   28
AA   26.3 26.4 26.6 26.9 26.9 26.4 26.1 26.2 26.6 27.0 27.0 26.6 26.6
Ad   26.2 26.2 26.5 26.8 26.8 26.4 26.1 26.2 26.6 26.9 26.8 26.5 26.5
 
From Ts File for Country Code 503
 
-rw-rw-r--    1 chiefio  chiefio    328304 Nov  5 21:14 ./Temps/Tempsts.503
-rw-rw-r--    1 chiefio  chiefio    328304 Nov  5 21:14 ./Temps/v2.meanCts.503
 
Clean up / Delete intermediate files (Y/N)? 

It would not take very many places “cooled” in the past by reaching to more poleward thermometers for “infill” to bias the record to a warming tilt over time. As we’ve already seen, thermometers start out in the cool areas and migrate toward the equator over time. If the “infill” comes preferentially from cooler areas in the past, but more representative areas as the thermometer density rises, one would get this kind of a bias.

Yes, it’s “only a couple of tenths C”; but the whole AGW hoopla is over a few tenths and some folks are even getting excited about the 1/100 C place…

Before:

Look at ./Lats/Therm.by.lat503.Dec.LAT (Y/N)? y
 
       Year SP -25   -20   -15   -10    -5     5    10    15    20   -NP
DecPct: 1869   0.0   0.0   0.0   0.0 100.0   0.0   0.0   0.0   0.0   0.0 100.0
DecPct: 1879   0.0   0.0   0.0   0.0 100.0   0.0   0.0   0.0   0.0   0.0 100.0
DecPct: 1889   0.0   0.0   0.0   0.0 100.0   0.0   0.0   0.0   0.0   0.0 100.0
DecPct: 1899   0.0   0.0   0.0   0.0 100.0   0.0   0.0   0.0   0.0   0.0 100.0
DecPct: 1909   0.0   0.0   0.0   0.0 100.0   0.0   0.0   0.0   0.0   0.0 100.0
DecPct: 1919   0.0   0.0   0.0   0.0 100.0   0.0   0.0   0.0   0.0   0.0 100.0
DecPct: 1929   0.0   0.0   0.0   0.0 100.0   0.0   0.0   0.0   0.0   0.0 100.0
DecPct: 1939   0.0   0.0   0.0   0.0  73.8  26.2   0.0   0.0   0.0   0.0 100.0
DecPct: 1949   0.0   0.0   0.0   1.9  75.0  23.1   0.0   0.0   0.0   0.0 100.0
DecPct: 1959   0.0   0.0   0.0   7.8  48.2  44.1   0.0   0.0   0.0   0.0 100.0
DecPct: 1969   0.0   0.0   0.0   2.0  48.6  49.4   0.0   0.0   0.0   0.0 100.0
DecPct: 1979   0.0   0.0   0.0   2.0  44.8  53.1   0.0   0.0   0.0   0.0 100.0
DecPct: 1989   0.0   0.0   0.0   6.2  43.2  50.6   0.0   0.0   0.0   0.0 100.0
DecPct: 1999   0.0   0.0   0.0   5.0  45.7  49.3   0.0   0.0   0.0   0.0 100.0
DecPct: 2009   0.0   0.0   0.0   3.7  43.1  53.2   0.0   0.0   0.0   0.0 100.0
 
For COUNTRY CODE: 503

And the “after STEP1 changes”

Look at ./Lats/Therm.by.tslat503.Dec.LAT (Y/N)? y
 
       Year SP -25   -20   -15   -10    -5     5    10    15    20    NP
DtsPct: 1889   0.0   0.0   0.0   0.0 100.0   0.0   0.0   0.0   0.0   0.0 100.0
DtsPct: 1899   0.0   0.0   0.0   0.0 100.0   0.0   0.0   0.0   0.0   0.0 100.0
DtsPct: 1909   0.0   0.0   0.0   0.0 100.0   0.0   0.0   0.0   0.0   0.0 100.0
DtsPct: 1919   0.0   0.0   0.0   0.0 100.0   0.0   0.0   0.0   0.0   0.0 100.0
DtsPct: 1929   0.0   0.0   0.0   0.0 100.0   0.0   0.0   0.0   0.0   0.0 100.0
DtsPct: 1939   0.0   0.0   0.0   0.0  67.9  32.1   0.0   0.0   0.0   0.0 100.0
DtsPct: 1949   0.0   0.0   0.0   2.8  61.1  36.1   0.0   0.0   0.0   0.0 100.0
DtsPct: 1959   0.0   0.0   0.0   6.9  50.3  42.8   0.0   0.0   0.0   0.0 100.0
DtsPct: 1969   0.0   0.0   0.0   1.7  47.1  51.2   0.0   0.0   0.0   0.0 100.0
DtsPct: 1979   0.0   0.0   0.0   1.8  48.2  50.0   0.0   0.0   0.0   0.0 100.0
DtsPct: 1989   0.0   0.0   0.0   2.3  47.2  50.5   0.0   0.0   0.0   0.0 100.0
DtsPct: 1999   0.0   0.0   0.0   3.3  48.8  47.8   0.0   0.0   0.0   0.0 100.0
DtsPct: 2009   0.0   0.0   0.0   3.6  50.0  46.4   0.0   0.0   0.0   0.0 100.0
 
From TS file For COUNTRY CODE: 503

We again see that “pull to the middle” effect. Perhaps simply because more thermometers can be “created” where there has been a thermometer longer? If so, that would bring into the present all that bias from the early years when there were not very many thermometers. As we saw in earlier pages, it takes time for the thermometer count for a location to rise high enough and to stabilize and start giving valid averages for an area. To the extent this ‘stretch and reach’ infill process drags ‘the past’ into more of the data set, and into the future, it will be dragging historical bias into the present more representative data.

Speculation? Yes, but informed speculation…

Conclusions? Idle Speculations?

At first blush, I’m not sure what it means. But it looks like there are biases introduced that move the ‘center of mass’ of the records to the latitudes that have the most history. This, as they say, “deserves further consideration”…

That there are changes is not in doubt.

That the changes make a difference is not in doubt.

Exactly what these changes mean and what the impact is on the “Global Average Temperature” will need to wait for another day. But it is fascinating to look at…

For today: Look! The Shiny Thing!

And enjoy the moment on The Cusp…

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About E.M.Smith

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...
This entry was posted in AGW GIStemp Specific, GISStemp Technical and Source Code and tagged , . Bookmark the permalink.

7 Responses to GIStemp – Sneak Peek Benchmarks STEP1

  1. j ferguson says:

    E.M.

    You wrote:

    “I found that STEP0 and STEP1 seem to change the average latitude of thermometers for a place.”

    I’m a little slow this evening. I can’t see what you’re getting at in this sentence.

    I’m having a very good time getting the scripts and fortran to work – likely modifications I’m making are to compensate for not really knowing what I’m doing – also because I never worked in a real shop, never had to deal with anyone else’s stuff – just the clutzy stuff I did myself. you’ve been very generous to make these things available.

    REPLY: ” How about: ‘for a {country, continent, region, whatever I picked as the number to feed the script for a selection of thermometers}.’ Kind of a klutzy way of saying that the thermometers run around the latitude bands and some bands can even be emptied entirely.

    Glad you are enjoying the FORTRAN. Playing with code can be fun… And, IMHO, this is how Real Science ™ is supposed to be done. In the open, everything shared, for the pleasure of discovery and the benefit of all. I know, rather 1700s of me… but some times I have this ‘retro’ streak… -ems”

  2. j ferguson says:

    never mind above. I get it. it’s the “place” that has its average latitude changed. sorry

  3. Bob D says:

    For those who prefer graphical views, here’s the NZ data.

  4. j ferguson says:

    Re: Fortran and scripts, CP/M, Dbase2, Mbasic, Sinclair ZX?,and the Osborne where I started with all this. Best part of Osborne was the manual which had two parts. One for what to do and the other how it does it. I slowly learned that could make anything work starting from knowing nothing if I didn’t give up, never worked past 10:00PM (living definition of diminishing returns) and could remember what I had already tried so as to stay out of loops. I’ve been away so long, I’d forgotten that I needed to name the output file or that fortran named it a.out, and it took a while to understand how the wrappers relate to the fortran routines.

    This is a very interesting way to pick it up again. thanks

  5. H.R. says:

    Bob D:

    Nice graphic of the NZ data. Thanks.

    If you pretend that your graph is a statistical process control chart, you can see that Ma’ Nature takes appropriate action to bring the temps back into range whenever the process starts to go ‘out of control.’

    Interesting.

    E.M. – The side trip into the thermometers was worth it. I’ve been reading a lot and commenting little but the in-depth look at the who, what, when, where, and possibly why of the input data gathering has been a real eye-opener.

    Now I’m glad to see that you have “Now returned back to your regular programming…”

  6. E.M.Smith says:

    @Bob D

    Nice graph. What software do you use for this?

    (Yes, I’ve decided I need to stop ‘depending on the kindness of others’ for graphs and actually make some myself… I’ve downloaded “Ploticus” based on not much analysis and liking the name… but have no idea if it is really the ‘easy install make simple graphs fast’ package I’m hoping for… So I’m going to start asking folks what software they use when they put up a graph.)

    The WWII warm Island Dropout is very visible, as is the 2002 2003 deletion of Campbell Island.

    I notice that the “new” line hangs back when the real temperatures move to the downside almost all the time (the exception being the WWII drop) and seem to have either an upward bias or a tendency to “extend the old trend in the old direction a bit longer” perhaps with amplification. (Amplification is not what you want from a filter that is supposed to be dampening thermometer change artifacts…). At any rate, the “red” dots go above the blue to the upside, but stop ON the blue to the downside, much more often than not. I suspect that on “deletions” it extends the old trend by fill-in and makes it persist, perhaps with amplification from more equatorward thermometers; but on additions, the data enter “live and now” and cause a fast move (though again with a bit of ‘upward sticky’ action).

    The late 1980’s early 1990’s had a fairly stable thermometer count and latitude distribution (per the New Zealand link:
    https://chiefio.wordpress.com/2009/11/01/new-zealand-polynesian-polarphobia/ ) but the average temp does drop.

    We’ve seen that N.Z. can be very sensitive to single thermometer changes. Was that time actually a colder than usual era in N.Z. or do I need to “go digging” into the single thermometer changes in that interval?

    At any rate, the “rocket ride” back to warm with the deletion of the One Cold Island is striking both in speed and in how the “new” exactly tracks to the upside…

    Overall, my impression is that STEP1 is an amplifier with a slight ‘upward sticky’ bias that also can have a ‘cool the past’ bias if the available reference stations are in a ‘coolward’ direction then (as seen in Indonesia and potentially in the inverse in Antarctica where the early stations were toward warmth so the early bias seems to be a warming bias)

    @H.R.

    The thermometer trip was a necessary diversion. I wish I could remember where I learned to “characterize the data” as an important first step. I *think* it was in my old FORTRAN IV class. The professor was adamant about being aware of precision issues, typing, overflow, underflow, bit shifts, data dropouts causing surprise divide by zero, data shifts sideways in fields causing decimal point shifts on reads, ….

    Frankly, in retrospect, about 1/2 the class was FORTRAN syntax and practice and the other half was how you can lose fingers and toes if you are not Very Very Careful! IIRC, one of the exercises was “write a program to do foo given bar input file” (with file spec.) But the file had ‘dirty data’ and we pretty much universally got caught on it. Then was the lecture on why you needed to actually “Look AT the DATA. Characterize it. How can it go wrong? Defend against it.”

    It was taught in the College of Engineering and almost 100% of the folks in the class were engineering majors. Since this “new tool” was being used for things like designing bridges and airplanes, they were Very VERY focused on making sure you did not use the tool badly…

    And, IMHO, that is the stone that Hansen has tripped over.

    R&D folks don’t have that emphasis on precision and care. It’s more about ‘big ideas’ and general conclusions. Nobody bothered to properly look at the input data and say: “Sorry, you can’t get clean trends out of this dirty and sparse of data with this much bias in the history”. Instead, they looked at it, problem by problem, and dreamed up patches around each, some with a ‘big idea’ to publish, but never asked if the whole “fix” was valid or how the parts might break with things like, oh, deleting 90% of the thermometers…

    @j fergusen

    Yes, it all comes back… I’d done mostly “C”, shell scripts, and database stuff for the last two or three decades. Last FORTAN I’d written was about 1980? Maybe earlier… Yet it was still in there somewhere, and a little practice warmed those particular brain cells back up nicely. I’m still pining over the demise of ALGOL (and I’ve even downloaded, but not installed, an ALGOL W compiler… my nostalgia does not wish to be disturbed by the reality of actually running it ;-)

    If I were designing a language, I think it would be mostly C like, with a more Pascal / Algol “look” (i.e. Begin / End rather than braces…), but with the detailed defined I.O. facilities of FORTRAN and maybe even some of the structured record reads of languages like COBOL and PL/1. IMHO, the biggest error made by most compiler designers is they leave the I/O package for libraries. PITA. Yes, systems programmers don’t care much about I/O, but just about everybody else lives in the I/O section all the time… It is such a PITA to do fixed format I/O in C that, though I’ve translated some of GIStemp to C, I stopped just because it was a pain. (C wants variable layout files, FORTRAN wants fixed… yes, each can walk the others walk, but at a cost…)

    FWIW, the one that caught me, on first brush up with GIStemp, was the default usage of “fort.1” or “fort.2” as file names if you just write to the device number… So you have these programs that don’t bother to name their files, just read and write away. And the wrapper script does all the housekeeping of changing all the output files to some other name and linking all the input files to defaults… A big file name shell game because the programmer was too lazy to pass a file name into the program at run time.

    As they say: “It’s a journey.”

    I’m just not sure “to where?”…

  7. Bob D says:

    >Nice graph. What software do you use for this?
    Good old Excel.

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