GHCN v3 Portugal and Spain

GHCN v3 Portugal and Spain

Part of what makes forensics fun is that “The Perp” has figured out a trick. They are quite confident in their trick. Often they are even very clever with it. On the early uses they may even cover The Trick well enough that it is very hard to spot; or even if spotted may not be enough evidence to say “Yes, that IS The Trick”. But given enough time, enough data, and especially if they repeat the act enough times in enough different contexts; eventually there is enough information to make a pretty good guess what The Trick might be.

Especially fun is when they think The Trick is cleverly hidden and the investigator uses an unexpected tool. Rather like using UV light to detect that the two black inks on a doctored check are not the SAME two black inks.

For a while now I’ve made assertions about the thermometer count being important. That the “dropouts” of some thermometers and the additions of others changed the shape of the data and that change would not be adequately removed by all the prestidigitations of climate codes like GIStemp (so all we are finding in homogenizing and splicing artifacts – perhaps introduced ‘for effect’ or perhaps accidental in a “Clever Hans” kind of way…)

In looking at the data for GHCN v1 vs v2 vs v3 “by country” there are some very odd differences to be found. (More on some of them later, I’ve got a half dozen now that need some kind of write-up, but I want to make a graph out of some of them first). Some countries have almost no changes at all to the data. It just lays there. Others have dramatic changes. Jamaica, for example, is simply missing in v1 and bursts onto the scene in v2 fully formed. Bermuda has some slow drift over time and changes that seem to be more related to adjustments in England than to changes in Bermuda on the ground. But none of those is really a startling, striking thing. They cast suspicion (like knowing The Perp was hanging out with a known check forger, but doesn’t mean much other than that they both like the same coffee house…)

Then you run into changes that just can not be adequately explained. The USA, for example, suddenly gets a load of dropped thermometers (from about 1990 onward) shoved back in to v3. It also shows very little warming trend over those years. Others have inexplicable cooling of some historical years (oddly often right near the time window used for the baseline interval in some codes… I’m sure it is just a coincidence…)

Then there are the ones where you look at it and just say: SOMEBODY didn’t get the memo about cops checking the ink with UV light… I suspect whoever selected what data to keep in vs leave out of Portugal may have “made a boo boo”; or more likely one person was in charge of an area and did their smoothing over the whole area, never expecting someone to slice the pie in this particular side lite with IR kind of way.

At any rate, I find Portugal interesting. For many reasons. I’m going to do a bit of speculating about what the data there say, and what Spain has to say too. No, none of this is a “lock them up” smoking gun. Just a bullet in a body on the floor.

First off, some reminders of prior postings in this series:

The country code map that cross connects v1 vs v2 and v3 country codes

The prior Teaser with a summary of the Australia numbers

The First Look in detail at a couple of random countries like Samoa and New Zealand.

Iberia

Spain and Portugal are particularly interesting as they are both Atlantic AND Mediterranean while having a lot of water around them. There ought to be some cyclical effects from things like the AMO and movements of the Gulf Stream, yet at the same time all that water ought to lend a kind of stability not found in places like Siberia or Kansas (where a “Canadian Express” can dump 50 F off your temperatures in a day…)

So anything that does NOT show the known and expected cycles of a 60 year warm then cool then warm from the 1930s to 1960s to 1990s would be “odd”. At the same time, if you have one dumping 4 C in a given year and right next door the other one is not; something very strange is happening…

Now there are climate zone differences. Ocean beaches are very different from the mountains, and both are quite different from the hotter Spanish Plain (despite the song about the rain always falling there…) so there are “opportunities” for changing which thermometers are “in the mix” to shift the content of the data. IFF there were a “perp” looking to shift the data content “for effect”, they would be sorely tempted to do it there. Just leaving the thermometers constant in Madrid and Lisbon would be unlikely to achieve the “desired effect”. (IMHO it is even more ‘fruitful’ to look at island nations. Often just one or two thermometers, lots of ‘water moderation’, and not a lot of opportunities to swap the instruments. In those cases I think I’ve observed “creative loss of coverage” with some whole nations popping into, and out of, the record and their missing data thus ‘filled in’ from nearby places which have more, and more frequently changing, thermometers). But for now we are in Iberia.

Portugal

I’m eventually going to make nice A/B graphs out of this data, but that will take more time and likely won’t be done for a day or three more. (Anyone wishing to ‘pitch in’ feel free to make a graph and post it…) For now I’m just doing reports for the canonical list of country codes and A/B by eyeball for ‘interesting bits’. (I find this a very useful step as it informs what the next step ought to be… so don’t like to shortchange it.) I also thought I ought to “share” something along the way. So please, no complaints about the lack of graphs. It’s “this or nothing for several days” and I think having this is better than having nothing.

The charts are the summary of all thermometer records for that selected country code. Just a straight average of the data, by month, per year. At the bottom are two “summary average” lines. AA is the “Average of monthly Averages”. AD is the “Average of the Data” itself. This changes with thermometer count. So if you only have one thermometer in the first decades, it counts as a full monthly average for those years in making the AA, but it counts as a much smaller percentage of total readings in that month when compared with a dozen thermometer in recent years that make up Ad. Comparing those two numbers lets you see a bit about how the data skew with thermometer count changes. Comparison BETWEEN versions lets you see how the data have shifted in aggregate. ( I ought to do this same report with the data all cut off in 1990, that would then ONLY show changes from the same time periods; but for now it’s enough to just see how they shift overall). You can also compare, say, the “Jan Average of Averages” in v1 with v3 and get an idea if January is warming a lot while August isn’t. Just WHEN in the year is “Global Warming” happening? Strangely, it is often only “warming” in some months. Especially those most likely to warm if near a sunny beach… or airport. Occasionally the spring and fall “warm” while the summer cools a bit. Water moderation anyone?

So spend a bit of time looking at the data. I’ll add my comments too. You might well find things I didn’t spot. I’ve only looked at these reports for about 10 minutes. It is “hot of the computer”.

Please remember that -99 is the ‘missing data flag’ and that the “count” of thermometer instruments is off the right hand edge so you need to use the scroll bar to get to the year full average and count. It is also the case that it can be much easier to see things if they are in 3 panels side by side, so a certain amount of ‘copy / paste’ might be helpful…

617 636 636 PORTUGAL

v1

The v1 country code for Portugal is 617 while it becomes 636 in v2 and v3.

The very early years don’t change much (in some countries they do…). The biggest change in the averages in the early years is the added thermometers between v1 and (v2 / v3). In 1880, for example, the annual average is about 1 C cooler in v2 / v3 than in v1. Those added thermometers are likely to be in ‘high cold places’. JAN and DEC drop 2 C while July hardly budges. That’s a thermometer added in a place with cold winters. By 1936 the thermometer counts match, and so do the temperatures between v1 and v2. Oddly, v3 drops 1/10 C. Got to cool the past a bit, now, one presumes. Around that time there is a very curious tendency for v2 to be cooler than both v1 and v3. For example, 1936 has 15.9, 15.8, 16.0 for the three sets. I’ve seen that in other places as well. V2 had a slightly cooler past than v1 or v3 for several places. Even for the same thermometer counts.

Also, from 1939 to 1960 v1 has more thermometer records than either v2 or v3. One typically does not expect established data to just be dropped. Yet it was. There wasn’t a big effect, but I do note that v3 looks a couple of 1/10 warmer than even v2. Compare 1945 for example. 17.1, 17.1, 17.3 for the v1, v2 ,v3 data.

From 1961 to 1990 the v1 data set has either 17 or 18 records. Yet in 1980, v2 adds one, then drops a bunch in 1982 to land at 5 total records surviving. V3 puts some of them back to end at 13 records. At the same time, we see the annual average of temperatures running down to the 14.9 – 15.x range for most of v1, while v2 is running a couple of tenths warmer. v3 is almost a match for v2, but runs a couple of tenths cooler (despite similar thermometer counts… so a “dig here” is to see if these are exactly the same thermometers, or not?)

I do find it a bit suspicious that V2 warms the “recent past” from when it was released, yet for v3 that past gets cooled a bit as it moves further back from ‘the present’…

BUT, the truly striking bit is the 1980 to 1990 segment. Here, in v1 it is about 15.8-16.4 while in v2 it drops to only 5 instruments and runs about 16.2 to 17.2 C. That’s a good 1/2 to 3/4 C. Yet in v3, with the thermometer count back up, it drops back to 15.2 – 16.2 C(!)

Mr. Peterson? May we expect a retraction about “Global Warming” in the 1980s? Mr. Hansen? Will you be retracting those “Warmest Year EVER!” hysterical rants? With ALL the thermometers back in, those years have COOLED. 1988 dropping from 16.1 to
15.7 C or 4/10 C. Yet v3 manages to have 2005 rise from 16.3 to 16.5 C with constant thermometer count of 7 records.

So which was it in 2005? Hmmmm?

If we can’t even get PORTUGAL within 2/10 C for the same year with the “same” data with THIS decade how can we say anything with precision above 1/2 C for larger places with worse records (like, oh, most of the planet outside Europe and North America)?

To me it just looks like some “data sculpting” has been going on.

What do you see in the numbers?

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
--------------------------------------------------------------------------
1854-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0  8.2  8.2    1
1855  7.5 10.8 10.5 13.0 13.4 17.2 20.0 23.4 19.1 15.7 12.3 10.0 14.4    1
1856 12.0 11.1 13.2 13.1 15.2 19.6 21.7 22.5 19.7 16.7 12.1 10.8 15.6    1
1857  8.9  9.9 12.0 13.5 15.1 19.3 23.4 20.6 20.3 16.8 14.2  9.6 15.3    1
1858  7.7 11.4 12.3 15.9 16.9 20.9 20.5 20.9 20.4 17.4 14.7 11.1 15.8    1
1859  8.6 11.3 13.3 15.4 15.5 17.6 23.0 22.0 19.7 16.5 13.4  9.6 15.5    1
1860 11.5  8.1 11.9 13.3 17.9 18.4 20.4 20.4 17.6 17.7 14.9 12.5 15.4    1
1861  9.1 10.2 13.7 14.6 17.3 18.6 20.2 23.3 20.6 17.3 13.5 10.3 15.7    1
1862 11.1 11.0 12.7 14.5 16.1 19.9 22.9 20.3 19.3 17.7 12.0 10.5 15.7    1
1863  9.9 10.6 12.5 15.3 15.9 18.7 20.9 21.7 19.0 16.5 13.3  9.4 15.3    1
1864  9.3 10.1 11.9 14.2 18.9 20.5 21.1 24.4 20.3 16.9 13.0  9.4 15.8    1
1865 11.6 12.4 12.4 14.8 15.6 20.3 21.1 20.5 21.9 18.4 14.7 12.0 16.3    2
1866 11.6 11.5 11.1 13.9 16.1 17.8 20.0 21.5 19.0 16.7 15.1 12.5 15.6    3
1867 12.1 12.8 12.6 15.3 15.6 19.5 20.1 20.2 19.9 16.6 13.3  9.0 15.6    3
1868 11.3 12.3 13.7 14.7 17.4 21.0 21.0 21.3 19.4 16.3 14.2 14.4 16.4    3
1869 12.1 12.4 11.2 15.0 16.1 19.2 20.9 21.9 20.0 17.2 14.0 11.3 15.9    3
1870 10.1 12.0 13.2 15.6 17.7 21.3 22.0 20.7 21.0 18.6 13.9 11.3 16.5    3
1871  9.8 12.9 13.1 15.7 16.6 18.3 21.4 22.2 19.4 17.2 14.5 10.2 15.9    3
1872 12.2 12.0 13.1 14.6 15.2 18.8 21.0 21.8 20.1 15.6 14.0 11.4 15.8    3
1873 11.4 10.8 12.0 13.4 17.4 19.1 21.0 22.0 20.2 16.5 13.8 11.1 15.7    3
1874 11.6 11.8 13.7 14.9 16.7 17.9 20.4 21.6 19.9 17.1 14.4 10.7 15.9    3
1875 12.0 10.6 12.9 14.6 18.1 18.6 18.2 21.7 21.0 17.8 15.2 10.3 15.9    3
1876  9.9 12.0 12.2 12.8 15.6 17.6 22.9 22.2 20.8 17.0 15.2 13.2 15.9    3
1877 12.2 11.9 12.6 14.3 16.7 18.9 21.8 21.3 19.5 17.5 14.6 12.1 16.1    3
1878 11.0 12.3 13.6 15.3 16.4 18.5 21.3 21.2 20.8 17.1 12.6 11.9 16.0    3
1879 12.3 11.9 12.3 13.3 15.9 17.5 20.4 21.0 18.9 17.5 15.1 10.4 15.5    3
1880 10.3 12.1 13.3 13.4 15.7 17.5 19.8 21.2 20.5 17.8 13.6 12.3 15.6    3
1881 11.7 12.0 14.0 14.4 17.2 19.1 22.6 22.3 19.9 16.4 14.7 11.1 16.3    3
1882 11.3 12.7 13.7 14.3 15.5 18.1 20.6 21.2 18.6 16.7 14.4 12.0 15.8    3
1883 11.8 11.9 11.0 14.2 14.6 17.3 19.7 21.4 19.2 16.3 14.2 10.9 15.2    3
1884 12.3 11.0 12.7 12.5 16.3 19.4 21.1 21.5 19.4 16.8 13.4 11.1 15.6    3
1885 10.2 13.1 12.0 13.0 16.0 18.9 20.1 20.4 20.0 15.6 14.3 11.6 15.4    3
1886 10.3 11.0 13.9 14.3 15.6 18.8 21.5 22.0 19.8 16.1 13.1 12.3 15.7    3
1887 11.2 10.9 13.6 13.6 16.3 20.9 21.6 22.2 19.4 16.6 14.0 11.3 16.0    3
1888 11.3  9.6 11.8 13.1 17.4 18.7 19.9 21.3 20.5 17.5 13.8 12.4 15.6    3
1889 10.5 11.4 12.3 12.8 15.1 17.5 20.1 20.9 20.6 16.2 14.9 10.8 15.3    3
1890 12.1 10.8 11.8 13.8 14.9 20.1 20.5 20.3 20.2 18.1 13.8 10.8 15.6    3
1891 10.0 12.0 12.2 14.7 15.7 19.5 20.8 20.8 20.0 16.8 13.7 12.4 15.7    3
1892 10.8 11.4 12.8 14.4 17.2 19.2 20.4 21.6 20.4 16.4 14.5 11.6 15.9    3
1893 10.9 12.2 14.6 15.1 17.3 19.6 21.6 22.3 19.9 18.2 14.1 11.8 16.5    3
1894 10.9 11.3 12.3 13.1 15.1 18.6 20.4 21.0 19.3 17.2 13.7 11.9 15.4    3
1895  9.9 12.3 11.6 13.9 16.7 19.2 20.7 21.5 20.7 17.2 15.5 12.6 16.0    3
1896 11.0 12.0 13.2 16.2 17.3 18.9 21.6 21.3 20.2 14.9 12.6 12.0 15.9    3
1897 10.1 12.9 14.4 14.3 16.1 20.1 21.5 21.0 19.5 18.2 15.1 12.7 16.3    3
1898 11.7 12.3 11.9 14.0 16.1 19.1 22.1 22.5 21.4 17.7 13.6 11.8 16.2    3
1899 11.7 12.8 13.5 15.8 17.3 19.5 22.4 22.8 20.8 19.1 15.5 12.2 17.0    3
1900 11.1 12.2 11.1 15.3 15.9 18.6 22.0 21.4 21.3 17.9 14.1 13.0 16.2    3
1901 11.2 10.5 12.1 14.4 16.6 19.4 21.4 21.7 19.5 16.4 13.1 10.9 15.6    3
1902 12.0 11.9 13.5 14.2 15.9 17.6 20.4 20.6 19.8 17.4 15.0 12.9 15.9    4
1903 11.7 13.0 12.8 15.2 15.4 18.1 20.9 22.0 19.2 17.3 15.2 12.2 16.1    4
1904 12.0 12.3 12.0 15.2 16.4 18.1 19.5 20.7 18.6 17.8 14.8 13.6 15.9    4
1905 11.6 11.6 13.3 15.2 16.7 17.2 21.5 20.9 19.5 17.3 14.1 12.9 16.0    4
1906 12.7 11.7 12.9 14.2 15.9 19.2 21.0 21.9 20.9 17.3 14.6 12.5 16.2    4
1907 11.8 11.7 13.9 15.4 15.6 18.7 20.5 22.0 21.3 17.0 14.1 13.5 16.3    4
1908 12.0 12.2 12.8 14.1 17.6 19.3 21.6 22.2 20.9 17.9 15.3 13.4 16.6    4
1909 11.9 11.8 12.8 15.4 17.1 17.8 21.7 22.0 19.9 18.3 14.5 14.0 16.4    4
1910 12.0 13.1 12.6 14.6 16.0 18.7 21.1 21.8 20.9 17.8 15.5 13.9 16.5    4
1911 11.4 13.1 13.1 13.9 16.7 18.6 22.1 21.8 21.0 17.1 14.5 13.8 16.4    4
1912 12.2 13.1 13.5 14.7 17.3 18.3 19.7 20.6 20.9 17.7 15.2 12.4 16.3    4
1913 12.6 12.2 12.8 13.6 16.7 19.9 21.3 21.5 19.8 16.9 15.2 12.8 16.3    4
1914 12.1 12.6 13.4 14.8 16.6 18.5 20.5 21.6 21.4 18.6 14.5 13.0 16.5    4
1915 12.0 12.4 14.0 14.0 17.0 19.3 21.7 21.9 20.9 17.6 15.3 14.2 16.7    4
1916 12.7 12.3 12.3 14.6 16.9 19.0 20.4 21.5 20.7 18.4 15.1 13.2 16.4    4
1917 11.3 11.6 12.0 14.0 16.2 18.1 21.0 20.4 20.5 17.0 15.1 11.3 15.7    4
1918 12.6 12.4 12.9 13.4 16.4 19.5 20.9 21.9 19.0 16.3 15.1 14.4 16.2    4
1919 12.6 13.5 12.9 14.1 16.2 20.1 20.5 22.3 20.6 17.9 14.0 12.9 16.5    4
1920 12.7 12.4 13.1 14.9 17.1 19.3 20.3 21.2 20.6 16.9 14.8 13.9 16.4    4
1921 12.5 12.0 13.0 14.5 16.7 19.1 22.0 21.7 20.3 18.7 14.8 12.6 16.5    4
1922 11.9 12.3 12.3 13.9 18.2 19.0 20.8 21.8 20.3 17.6 15.5 12.8 16.4    4
1923 12.0 12.8 13.6 13.3 15.7 19.4 21.2 22.4 20.7 18.9 13.9 12.3 16.3    4
1924 12.3 10.9 13.9 14.8 16.3 18.9 20.4 21.1 19.7 18.2 14.2 13.5 16.2    4
1925 11.9 11.8 11.9 13.7 15.8 19.4 21.0 21.9 20.8 18.8 14.3 13.8 16.3    4
1926 12.7 13.6 13.9 14.2 15.7 19.0 21.4 22.7 22.4 18.6 14.6 12.4 16.8    4
1927 12.3 12.5 14.3 15.4 17.0 19.1 19.8 21.2 19.7 18.2 14.1 13.0 16.4    4
1928 12.3 13.1 13.1 13.6 15.2 18.6 22.5 21.0 20.0 17.4 14.4 12.6 16.1    4
1929 12.2 12.6 14.0 15.2 15.6 19.2 20.8 21.9 21.1 18.3 15.6 14.3 16.7    4
1930 12.1 11.4 13.7 13.2 16.7 18.9 21.0 22.3 21.0 18.0 15.5 13.6 16.5    4
1931 12.3 12.9 14.1 14.7 16.0 18.7 20.4 21.3 20.2 18.4 15.4 12.6 16.4    4
1932 12.5 11.7 13.7 13.6 15.7 18.7 20.3 22.1 20.5 17.2 14.6 12.8 16.1    4
1933 11.4 12.1 13.8 15.3 17.6 18.8 22.0 22.6 20.4 17.6 13.9 11.1 16.4    4
1934 11.4 11.3 12.5 12.8 16.8 19.1 21.4 21.5 19.9 18.6 13.3 14.1 16.1    4
1935 11.3 12.0 14.2 14.4 15.3 17.6 20.7 21.5 20.4 17.2 14.4 13.8 16.1    4
1936 13.4 12.5 12.6 13.9 15.1 17.3 20.2 22.2 20.6 17.2 14.5 11.9 15.9    4
1937 11.1 13.1 12.6 15.0 16.3 18.5 19.6 22.1 20.8 17.7 15.0 12.3 16.2    4
1938 12.3 12.2 14.6 15.9 16.6 20.0 20.9 21.9 19.8 18.7 16.2 13.0 16.8    4
1939 12.8 12.6 12.8 14.2 16.6 18.6 20.4 20.8 20.1 16.4 14.1 12.8 16.0    5
1940 12.7 13.2 14.7 15.0 15.9 18.8 20.3 22.6 20.1 17.2 15.1 12.4 16.5    6
1941 12.4 13.7 13.6 14.6 16.2 19.9 21.4 21.7 21.4 19.0 15.4 13.0 16.9    6
1942 12.7 12.3 13.9 14.6 15.9 18.8 20.6 21.3 21.3 18.6 15.3 13.9 16.6    6
1943 13.8 12.9 13.4 15.9 17.3 20.3 21.1 22.5 19.5 17.3 15.2 13.5 16.9    6
1944 13.1 12.4 14.2 16.2 17.5 19.8 21.1 21.9 20.8 17.9 15.9 13.3 17.0    6
1945 11.9 14.0 15.1 16.4 16.7 19.7 20.5 21.0 20.6 18.9 16.1 14.5 17.1    6
1946 12.2 13.7 13.3 14.8 15.4 18.8 21.2 21.0 20.2 18.1 15.2 13.4 16.4    6
1947 11.7 13.2 14.2 15.9 16.0 18.8 20.6 21.7 20.0 19.6 17.9 14.9 17.0    6
1948 14.4 13.6 15.6 14.9 15.9 19.8 20.9 21.8 21.6 19.7 17.2 14.7 17.5    6
1949 13.4 13.9 14.0 16.3 16.7 20.1 22.5 23.5 20.9 19.0 16.6 13.6 17.5    6
1950 12.3 13.5 14.2 15.1 16.7 18.9 21.5 21.6 21.0 18.6 16.5 13.7 17.0    6
1951 13.6 13.0 14.3 15.8 16.6 19.8 21.0 22.1 21.8 18.6 15.5 14.5 17.2    7
1952 13.5 14.5 15.1 15.3 17.1 19.7 21.8 22.3 21.3 19.5 17.1 15.9 17.8    7
1953 14.1 13.5 14.6 15.6 18.0 19.4 22.3 23.3 22.2 18.8 17.2 14.4 17.8    7
1954 13.4 13.3 14.5 14.9 16.8 18.7 20.6 21.3 21.3 20.2 16.5 14.2 17.1    7
1955 15.0 13.7 13.3 15.9 18.2 19.6 21.4 22.3 22.0 19.3 15.9 15.4 17.7    7
1956 13.6 12.9 13.8 15.3 17.1 19.1 21.2 21.6 20.2 18.9 15.1 13.1 16.8    7
1957 12.4 12.9 14.4 14.6 16.6 18.6 21.0 22.2 21.7 18.6 15.7 13.0 16.8    7
1958 13.3 14.1 14.4 14.6 16.7 19.0 21.1 21.3 20.7 19.5 15.9 14.1 17.1    7
1959 13.5 12.6 13.2 14.7 16.7 19.6 20.8 22.0 21.1 18.4 15.4 14.3 16.9    7
1960 13.4 13.0 13.9 15.4 16.8 19.3 21.4 21.9 21.1 18.2 16.1 13.5 17.0    7
1961 10.6 12.9 14.4 14.4 17.2 19.2 21.3 22.8 20.2 16.5 13.4 12.4 16.3   18
1962 10.9 10.9 12.2 13.9 15.9 19.6 20.4 21.6 20.4 18.1 12.4 10.7 15.6   18
1963 10.5  9.8 11.8 13.6 16.1 18.0 21.1 20.6 19.5 18.5 13.9 10.6 15.3   18
1964 10.7 11.6 11.6 13.3 17.5 18.7 20.8 21.6 21.3 16.9 14.2 10.6 15.7   18
1965 10.7 10.2 12.8 14.4 17.6 19.4 19.7 21.6 19.0 17.1 12.9 12.0 15.6   18
1966 12.5 11.8 12.7 13.9 16.7 18.2 20.7 21.1 21.0 16.2 12.0 11.5 15.7   18
1967 10.7 11.5 13.9 13.9 14.5 19.1 21.1 21.1 19.8 17.8 13.5 11.3 15.7   18
1968 11.3 11.2 11.8 13.0 15.8 18.9 20.7 21.3 19.3 18.4 14.0 11.4 15.6   18
1969 11.4 10.0 11.8 13.2 14.7 17.9 22.2 21.7 18.6 17.6 12.7 10.5 15.2   18
1970 11.3 10.8 11.1 13.7 16.3 17.9 21.2 20.9 21.1 17.4 15.2  9.8 15.6   18
1971  9.6 11.0 10.6 12.4 13.9 17.0 20.8 19.8 20.1 18.5 12.5 11.1 14.8   17
1972  8.7  9.7 10.7 13.4 14.7 17.1 21.1 20.9 18.6 15.3 13.4 10.3 14.5   17
1973  9.6  9.8 11.6 13.4 15.2 18.9 20.2 22.4 19.4 16.5 13.9 10.1 15.1   17
1974 11.0 10.2 11.1 12.1 15.6 18.4 21.7 20.7 18.3 14.9 13.2 11.5 14.9   17
1975 10.8 10.9 10.7 13.1 15.0 18.4 21.3 21.8 18.8 16.8 13.1  9.4 15.0   17
1976 10.1 10.9 11.8 12.1 15.9 20.6 21.8 21.3 18.5 15.4 12.1 11.1 15.1   17
1977 10.1 11.1 12.1 14.1 15.4 17.1 19.6 20.2 21.1 16.7 12.9 12.1 15.2   17
1978  9.7 11.1 11.7 12.1 14.7 16.8 20.7 21.4 22.3 17.0 13.7 11.5 15.2   17
1979 10.3 11.2 10.5 12.3 15.2 19.2 21.8 21.5 20.1 14.7 12.4 10.5 15.0   17
1980 10.0 10.8 11.4 13.9 15.0 18.4 20.5 22.7 21.0 17.0 12.4  9.7 15.2   17
1981 11.0 10.4 13.0 12.4 14.6 20.6 21.5 21.9 20.5 17.5 15.7 12.6 16.0   18
1982-99.0 13.3 12.7 14.5 16.1 18.4 19.8 21.8 20.5 16.5 13.3 11.4 16.2   18
1983 10.7 10.6 13.7 13.0 14.3 19.1 20.0 21.0 21.4 17.9 15.3 12.1 15.8   18
1984 10.9 10.4 11.2 15.2 13.4 18.7 21.0 21.6 20.1 17.4 13.7 12.2 15.5   18
1985 10.1 12.1 12.1 13.8 14.8 18.6 21.3 21.6 22.5 18.6 13.4 11.7 15.9   18
1986 10.8 10.8 12.1 11.5 16.4 18.6 22.2 21.0 20.7 18.4 13.9 12.1 15.7   18
1987 11.3 11.8 13.5 14.5 16.6 19.2 21.8 22.8 22.2 16.1 14.1 13.1 16.4   18
1988 11.7 11.3 13.2 14.2 15.5 18.6 21.0 22.0 21.7 18.0 15.0 11.5 16.1   18
1989 10.9 12.0 13.2 12.1 17.0 19.8 23.7 22.7 20.3 18.8 14.3 13.3 16.5   17
1990 11.0 13.1 14.0 13.4 17.1 19.2 23.1 22.7 21.2 17.1-99.0-99.0 17.2   17
AA   11.4 11.7 12.8 14.0 16.1 18.8 21.1 21.6 20.4 17.5 14.2 12.1 16.0
Ad   11.5 11.9 12.9 14.3 16.2 18.9 21.0 21.6 20.3 17.5 14.4 12.2 16.1
 
For Country Code 617
 
From input file ./data/v1.mean

v2


Thermometer Records, Average of Monthly Data and Yearly Average
by Year Across Month, with a count of thermometer records in that year
--------------------------------------------------------------------------
YEAR  JAN  FEB  MAR  APR  MAY  JUN JULY  AUG SEPT  OCT  NOV  DEC  YR COUNT
--------------------------------------------------------------------------
1854-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0  8.2  8.2    1
1855-99.0 10.8 10.5 13.0-99.0 17.2 20.0 23.4 19.1 15.7 12.3 10.0 15.2    1
1856 12.0 11.1 13.2 13.1 15.2 19.6 21.7 22.5 19.7 16.7 12.1 10.8 15.6    1
1857  8.9  9.9 12.0 13.5 15.1 19.3 23.4 20.6 20.3 16.8 14.2  9.6 15.3    1
1858  7.7 11.4 12.3 15.9 16.9 20.9 20.5 20.9 20.4 17.4 14.7 11.1 15.8    1
1859  8.6 11.3 13.3 15.4 15.5 17.6 23.0 22.0 19.7 16.5 13.4  9.6 15.5    1
1860 11.5  8.1 11.9 13.3 17.9 18.4 20.4 20.4 17.6 17.7 14.9 12.5 15.4    1
1861  9.1 10.2 13.7 14.6 17.3 18.6 20.2 23.3 20.6 17.3 13.5 10.3 15.7    1
1862 11.1 11.0 12.7 14.5 16.1 19.9 22.9 20.3 19.3 17.7 12.0 10.5 15.7    1
1863  9.9 10.6 12.5 15.3 15.9 18.7 20.9 21.7 19.0 16.5 13.3  8.5 15.2    4
1864  8.1  8.6 10.5 14.1 18.2 20.6 21.8 24.1 19.9 15.6 11.4  7.7 15.1    4
1865  9.4  9.9 10.1 14.5 15.4 21.1 21.5 20.3 22.0 16.1 12.2  8.9 15.1    5
1866  9.6 10.2 10.0 13.4 15.7 18.0 20.5 22.0 18.6 16.0 14.1 11.2 14.9    6
1867 10.5 12.0 11.5 15.2 15.3 20.2 20.5 20.9 19.7 15.9 12.3  7.9 15.2    6
1868  9.4 10.7 12.9 14.3 17.7 21.7 21.1 21.4 18.8 15.0 12.2 12.5 15.6    6
1869 10.3 11.2  9.8 14.3 15.0 19.4 21.6 22.4 19.6 16.2 12.3  8.8 15.1    6
1870  7.8 10.0 12.2 15.3 17.8 22.2 22.7 21.0 20.6 17.4 11.7  8.9 15.6    6
1871  7.4 11.3 11.8 15.4 16.4 17.5 21.5 22.1 18.3 16.2 12.2  7.4 14.8    6
1872 10.0 10.3 11.8 13.5 14.5 19.4 20.7 22.0 19.7 13.7 12.0  9.2 14.7    6
1873  9.7  8.9 10.6 12.4 17.5 19.6 21.8 22.1 20.0 15.2 12.2  9.0 14.9    6
1874  9.9 10.4 12.5 14.1 16.3 17.9 21.3 22.1 19.3 16.0 12.9  8.4 15.1    6
1875 10.3  9.1 11.5 13.5 18.2 18.7 19.2 22.3 21.2 16.8 13.6  7.9 15.2    6
1876  7.9 10.7 10.8 12.0 15.0 17.3 24.1 22.5 20.5 16.0 13.9 11.5 15.2    6
1877 11.0 10.7 11.4 13.4 16.2 19.1 22.2 21.5 19.1 16.4 13.1  9.9 15.3    6
1878  9.0 10.7 12.6 14.3 15.9 18.5 21.7 20.7 20.9 16.2 10.3  9.7 15.0    6
1879 10.4 10.1 11.1 11.6 15.2 17.4 20.6 21.1 18.0 16.2 13.9  8.2 14.5    6
1880  8.3 10.6 12.9 12.1 15.1 17.0 19.8 20.9 20.4 16.8 11.7 10.4 14.7    6
1881  9.9 10.8 13.1 13.5 16.6 19.1 22.8 22.9 19.7 15.3 13.7  9.0 15.5    6
1882  9.5 11.0 12.6 13.0 14.9 17.9 20.3 21.5 17.4 15.3 12.6  9.9 14.7    6
1883 10.0 10.5  9.4 12.9 14.3 16.7 19.5 21.8 18.6 15.0 12.6  8.7 14.2    6
1884 10.6  9.5 11.5 11.1 15.9 18.8 21.2 22.0 18.7 15.6 11.9  9.0 14.6    6
1885  8.0 11.8 10.7 11.3 15.4 18.2 19.8 19.6 19.3 13.9 12.6  9.7 14.2    6
1886  8.2  9.4 12.7 13.0 14.5 18.5 21.5 21.9 19.4 14.6 11.3 10.3 14.6    6
1887  9.2  9.1 12.3 12.3 15.6 21.3 22.0 21.6 18.7 14.7 11.8  8.8 14.8    6
1888  9.3  7.2  9.8 11.5 16.4 17.6 18.8 20.4 19.7 16.1 12.1 10.6 14.1    5
1889  8.3  9.5 10.3 11.1 13.8 16.6 19.5 20.0 19.8 14.3 13.0  8.4 13.7    5
1890 10.2  8.7  9.9 12.3 13.5 19.5 19.7 19.4 19.1 16.8 11.9  8.2 14.1    5
1891  7.4 10.3 10.5 13.1 14.2 18.4 20.1 19.7 18.9 15.1 12.0 10.6 14.2    5
1892  8.8  9.7 11.2 13.1 16.2 18.6 19.7 20.9 19.6 14.4 12.6  9.5 14.5    5
1893  8.6 10.5 13.8 14.4 16.9 19.2 21.4 22.1 18.9 16.9 12.0  9.5 15.3    5
1894  8.8  9.8 11.1 11.8 14.2 18.5 19.9 20.5 18.3 16.2 12.2 10.2 14.3    5
1895  8.0 11.0 10.2 13.1 16.3 18.9 20.3 21.1 20.2 16.3 14.3 11.1 15.1    5
1896  9.2 10.5 12.0 15.3 16.3 18.2 21.2 20.5 19.1 13.0 10.2  9.9 14.6    5
1897  8.1 11.5 13.3 13.1 15.5 19.8 21.7 20.2 18.6 16.8 13.7 10.9 15.3    5
1898  9.8 10.7 10.3 12.7 15.2 18.8 22.8 22.9 21.3 16.5 11.8  9.7 15.2    6
1899  9.6 11.4 12.2 15.4 16.9 19.1 22.8 22.9 20.6 18.5 13.8 10.4 16.1    6
1900  9.1 10.5  9.5 14.6 15.2 18.6 22.5 21.0 20.7 16.6 12.0 10.9 15.1    6
1901  9.2  7.9 10.4 13.8 16.2 20.1 22.3 22.4 18.7 15.1 11.2  8.5 14.7    5
1902 10.1  9.9 12.5 13.4 15.3 17.3 20.7 20.8 19.3 16.1 13.3 10.7 15.0    6
1903  9.7 11.5 11.8 14.6 14.6 17.9 21.2 22.3 18.6 16.2 13.7  9.7 15.2    6
1904  9.9 10.5 10.5 14.7 16.8 18.7 20.2 21.4 18.4 17.5 13.0 11.9 15.3    6
1905  9.5  9.9 12.4 14.6 16.1 17.5 21.9 20.7 18.7 16.0 11.8 10.8 15.0    6
1906 10.7  9.6 11.5 12.9 15.6 19.7 21.4 22.7 20.4 16.4 12.7 10.2 15.3    6
1907  9.6  9.6 13.1 13.9 14.7 18.9 20.4 22.5 20.9 15.0 12.4 11.7 15.2    6
1908 10.3 10.6 11.0 12.6 17.5 18.7 21.6 22.0 20.4 17.0 13.7 11.4 15.6    6
1909  9.6  9.7 11.0 14.9 16.7 16.8 21.9 21.9 18.9 17.2 12.7 12.0 15.3    6
1910  9.8 11.3 11.0 13.2 14.9 18.3 20.5 21.3 20.2 16.3 13.4 11.7 15.2    6
1911  8.7 10.3 11.0 12.4 15.1 17.7 22.5 22.0 21.2 15.5 12.6 11.8 15.1    6
1912 10.0 11.7 12.4 13.7 16.9 17.9 18.8 19.6 19.9 16.1 13.0 10.1 15.0    6
1913 10.9 10.3 11.6 12.3 15.9 20.4 21.4 20.8 18.5 15.6 13.5 10.3 15.1    6
1914  9.5 10.8 11.9 13.9 16.0 17.8 20.4 21.7 21.4 17.3 12.6 11.0 15.4    6
1915  9.7 10.3 12.7 12.6 16.4 19.2 21.7 22.1 20.4 16.4 13.4 12.3 15.6    6
1916 10.8 10.2 10.2 13.6 16.5 18.8 20.5 21.5 20.2 17.6 13.2 11.4 15.4    6
1917  9.2  9.7 10.3 12.8 15.6 18.3 21.7 20.2 20.9 15.8 13.5  8.7 14.7    6
1918 10.9 10.9 11.6 12.2 16.3 19.8 21.1 22.8 18.5 14.9 13.2 12.4 15.4    6
1919 10.2 13.0 11.4 12.9 15.9 20.8 20.7 23.2 20.2 16.1 12.0 10.7 15.6    6
1920 10.7 11.2 11.9 14.1 17.0 19.2 20.4 21.4 20.2 15.5 13.0 11.0 15.5    6
1921 10.7 10.3 11.9 13.6 15.8 19.3 22.6 22.1 20.5 18.7 14.3 11.6 15.9    6
1922 11.2 11.8 10.5 12.6 18.4 19.1 21.4 21.7 19.5 16.8 13.4 10.6 15.6    6
1923  9.3 11.1 12.6 11.8 15.4 19.7 22.0 23.0 20.1 18.1 13.2 10.9 15.6    6
1924 10.3  8.5 13.4 14.8 16.9 19.8 21.4 21.6 19.0 17.0 12.5 11.4 15.5    6
1925 10.2  9.9 10.1 12.6 15.0 19.2 20.6 21.8 21.0 17.5 12.1 12.0 15.2    6
1926 10.8 12.7 12.8 13.1 14.8 19.4 22.3 23.7 23.3 18.8 12.8 10.0 16.2    6
1927 10.3 11.8 11.5 14.8 16.8 20.0 20.2 21.7 19.8 18.6 13.5 12.2 15.9    6
1928 11.2 12.6 12.8 13.4 15.2 19.4 23.8 21.9 20.6 17.3 13.5 11.4 16.1    5
1929 11.1 12.1 13.9 15.3 15.8 20.0 21.8 22.7 21.3 17.1 13.7 12.4 16.4    6
1930 10.3  9.1 12.5 11.9 16.3 18.2 20.7 22.7 20.7 17.4 14.0 11.7 15.5    6
1931 12.0 12.6 14.0 14.7 15.9 18.9 20.4 21.1 20.2 18.2 15.2 12.0 16.3    4
1932 12.0 11.2 13.6 13.4 15.6 18.7 20.4 22.2 20.5 17.1 14.5 12.5 16.0    4
1933 11.0 11.7 13.6 15.4 17.8 18.7 22.0 22.7 20.2 17.4 13.5 10.6 16.2    4
1934 11.0 10.9 12.2 12.6 16.8 19.2 21.4 21.2 19.9 18.6 12.9 13.9 15.9    4
1935 10.8 11.7 14.0 14.3 15.1 17.6 20.8 21.5 20.3 17.0 14.1 13.5 15.9    4
1936 13.2 12.5 12.5 13.9 14.9 17.2 20.2 22.2 20.5 17.0 14.1 11.5 15.8    4
1937 11.0 13.0 12.4 15.0 16.4 18.4 22.1 22.0 20.6 17.6 15.0 12.0 16.3    4
1938 11.9 12.0 14.5 15.9 16.5 20.0 20.9 21.8 19.5 18.5 16.1 12.6 16.7    4
1939 13.0 12.9 13.1 14.5 17.0 18.8 20.9 21.1 20.5 16.7 14.4 13.1 16.3    4
1940 12.4 12.9 14.6 15.0 15.8 19.0 20.4 22.9 20.5 16.9 14.6 11.9 16.4    4
1941 11.9 12.9 13.4 14.5 16.1 20.2 21.7 22.5 21.8 19.1 14.9 12.5 16.8    3
1942 12.6 12.1 13.7 14.5 16.3 19.2 21.1 21.8 21.5 18.7 14.9 13.5 16.7    3
1943 13.5 12.8 13.4 16.3 17.4 20.6 21.2 22.8 19.2 17.1 15.0 13.4 16.9    3
1944 12.7 12.4 14.1 16.2 17.7 20.4 21.3 22.0 21.0 17.6 15.8 13.1 17.0    3
1945 11.8 14.0 15.4 16.5 16.6 20.1 20.8 21.3 20.7 18.8 15.8 13.9 17.1    3
1946 11.7 13.7 13.2 14.9 15.3 19.0 22.1 21.2 20.4 17.8 14.9 13.0 16.4    3
1947 11.1 12.7 13.9 15.9 16.0 18.8 20.9 21.9 20.5 19.4 17.5 14.3 16.9    3
1948 14.0 13.2 15.4 14.6 15.8 20.1 21.2 21.9 21.6 19.6 16.4 14.1 17.3    3
1949 13.1 14.0 13.8 16.0 16.9 20.0 22.3 22.7 20.5 18.3 16.5 13.4 17.3    4
1950 12.5 13.4 13.9 14.9 16.4 18.6 21.5 21.5 21.3 18.6 16.3 14.1 16.9    4
1951 13.9 13.2 14.1 15.9 16.9 19.6 21.1 22.6 22.0 18.8 15.4 14.5 17.3    4
1952 13.1 14.2 14.7 15.0 16.9 19.3 21.6 22.0 21.0 18.9 16.6 15.6 17.4    4
1953 13.5 13.1 14.2 15.2 17.7 19.2 22.5 23.5 22.0 18.4 16.8 13.9 17.5    4
1954 13.0 13.1 14.1 14.7 16.5 18.9 21.0 21.7 21.7 20.3 16.4 14.3 17.1    4
1955 15.3 13.7 13.1 15.8 18.1 19.6 21.7 22.4 22.1 19.3 15.5 15.4 17.7    4
1956 13.2 12.4 13.5 14.7 17.3 19.4 21.6 22.0 20.5 18.8 15.5 13.8 16.9    4
1957 13.0 12.9 14.3 14.6 16.6 18.7 20.9 22.1 21.7 18.8 15.9 13.6 16.9    4
1958 13.7 14.1 14.8 14.7 16.7 19.2 21.3 21.5 20.5 19.3 16.0 14.1 17.2    4
1959 13.6 12.8 13.1 14.6 16.9 19.7 20.9 22.1 21.0 18.2 15.5 14.6 16.9    4
1960 13.4 12.6 13.5 15.4 16.6 19.3 21.6 22.2 21.2 18.2 15.9 13.6 17.0    4
1961 11.1 13.1 14.5 14.7 17.1 19.1 21.2 22.7 20.3 16.8 13.8 12.8 16.4   18
1962 11.1 11.1 12.5 14.0 15.9 19.5 20.4 21.5 20.4 18.1 12.8 11.2 15.7   18
1963 10.8 10.1 12.0 13.8 16.2 18.0 21.0 20.6 19.6 18.6 14.1 10.9 15.5   18
1964 10.9 11.8 11.7 13.5 17.4 18.5 20.6 21.5 21.2 17.0 14.4 11.0 15.8   18
1965 11.1 10.6 13.1 14.6 17.7 19.5 19.7 21.5 19.2 17.2 13.1 12.4 15.8   18
1966 12.8 12.0 12.9 14.1 16.7 18.2 20.6 21.2 21.0 16.5 12.3 11.8 15.8   18
1967 11.1 11.7 14.0 14.1 14.6 19.2 21.0 21.1 20.0 18.1 13.8 11.8 15.9   18
1968 11.5 11.4 12.0 13.1 15.9 18.9 20.6 21.3 19.4 18.5 14.0 11.5 15.7   18
1969 11.5 10.1 11.9 13.3 14.7 18.0 22.0 21.6 18.7 17.7 12.8 10.7 15.2   18
1970 11.4 10.8 11.2 13.8 16.3 17.8 21.1 20.9 21.1 17.5 15.3  9.7 15.6   18
1971 10.1 11.4 11.0 12.8 14.2 17.2 20.8 19.8 20.1 18.5 12.8 11.5 15.0   18
1972  9.3 10.1 11.1 13.8 14.8 17.1 21.0 20.8 18.9 15.7 13.9 10.9 14.8   18
1973 10.0 10.3 12.0 13.8 15.4 18.9 20.2 22.2 19.6 16.7 14.2 10.6 15.3   18
1974 11.4 10.7 11.5 12.5 15.8 18.4 21.5 20.6 18.4 15.2 13.4 11.7 15.1   18
1975 11.2 11.3 11.2 13.4 15.3 18.4 21.0 21.7 19.0 17.2 13.8 10.1 15.3   18
1976 10.6 11.5 12.3 12.6 15.9 20.4 21.5 21.2 18.7 15.3 12.7 11.7 15.4   18
1977 10.7 11.6 12.7 14.3 15.5 17.2 19.7 20.1 21.1 17.1 13.5 12.7 15.5   18
1978 10.6 11.7 12.2 12.7 15.0 17.0 20.4 21.2 22.3 17.4 14.3 12.2 15.6   18
1979 10.9 11.8 11.1 12.9 15.5 19.1 21.7 21.4 20.2 15.8 13.8 12.0 15.5   18
1980 10.9 11.5 12.0 14.4 15.4 18.4 20.4 22.3 20.9 17.2 13.1 10.4 15.6   19
1981 11.1 10.6 13.2 12.8 14.7 20.4 21.5 21.9 20.5 17.5 16.0 12.7 16.1   19
1982 12.8 12.8 13.4 15.1 16.5 17.9 19.5 21.6 20.5 17.2 14.4 13.0 16.2    5
1983 12.0 12.1 15.2 13.6 15.7 18.9 20.0 21.3 21.4 18.0 16.3 13.3 16.5    5
1984 12.8 12.6 13.0 16.0 15.4 19.0 20.4 21.1 20.5 18.9 15.2 13.6 16.5    5
1985 12.3 13.1 13.5 14.5 16.5 18.7 20.7 21.9 22.3 18.9 14.9 13.3 16.7    5
1986 12.6 12.6 13.2 13.0 16.7 18.7 21.8 21.6 20.8 19.4 15.7 14.1 16.7    5
1987 13.3 13.5 14.7 14.6 16.4 19.3 21.8 22.6 22.0 17.2 15.6 14.2 17.1    5
1988 12.8 12.5 14.3 15.3 16.1 19.0 21.0 22.3 22.0 18.7 15.8 14.2 17.0    5
1989 13.2 13.6 14.1 14.1 17.1 19.6 22.5 22.5 20.8 19.2 15.2 14.2 17.2    5
1990 12.6 13.7 14.7 14.0 17.5 19.4 22.7 22.1 21.3 18.0 15.0 12.5 17.0    5
1991 12.0 11.9 13.4 14.6 17.5 20.1 23.0 23.8 22.1 18.0 15.9 13.6 17.2   11
1992 12.7 12.9 15.0 16.0 18.0 18.5 21.5 23.2 20.4 16.0 15.0 12.1 16.8   11
1993 11.5 11.6 12.7 13.4 14.9 19.8 22.9 22.4 19.0 15.7 13.0 13.7 15.9   11
1994 10.6 10.9 14.5 13.7 15.8 20.1 21.8 22.1 20.1 18.3 15.1 12.7 16.3   11
1995 11.7 12.4 13.8 15.6 18.2 19.9 22.4 23.4 19.5 18.8 14.8 12.7 16.9   11
1996 10.6 10.5 12.4 14.7 15.3 21.0 22.1 21.7 18.4 16.6 13.6 11.4 15.7   10
1997 11.6 11.9 15.7 16.7 16.3 17.6 21.3 21.9 21.3 18.9 14.5 11.8 16.6    5
1998 11.1 12.6 15.0 13.1 16.1 19.0 22.2 23.3 20.7 17.8 15.0 11.2 16.4    6
1999 11.2 11.6 13.3 15.2 16.9 19.8 22.6 22.4 20.6 16.9 13.9 12.5 16.4    6
2000  9.7 13.1 13.9 12.9 16.7 20.4 21.1 21.9 20.3 17.1 14.0 12.6 16.1    6
2001 12.0 12.3 13.8 15.0 16.8 20.3 21.3 22.0 20.7 17.8 13.3 10.7 16.3    6
2002 12.3 12.5 13.3 14.8 16.4 19.2 21.4 21.7 19.8 17.4 14.4 13.1 16.4    8
2003 11.8 11.4 13.4 14.1 17.8 20.7 21.7 23.6 21.2 16.3 13.6 11.1 16.4    7
2004 11.7 11.0 12.0 14.0 16.6 21.8 22.5 21.6 20.9 17.2 13.4 11.4 16.2    6
2005 10.4  9.9 13.0 14.8 17.2 21.3 21.9 23.3 20.5 17.4 12.7 13.2 16.3    7
2006 10.1 10.8 13.3 15.1 17.9 19.9 22.8 23.1 21.1 18.1 15.3 12.0 16.6    6
2007 12.3 12.6 13.1 14.8 16.9 18.6 21.4 21.7 20.8 17.9 14.4 13.2 16.5    6
2008 11.7 12.2 13.0 15.4 16.3 21.6 21.7 21.9 20.2 17.9 12.3-99.0 16.7    7
2009 10.6 10.9 14.0 13.4 17.0 19.8 20.8 22.7 21.3 18.9 13.7-99.0 16.6    3
AA   10.9 11.3 12.4 13.8 16.0 18.9 21.1 21.7 20.1 17.1 13.7 11.5 15.7
Ad   10.8 11.3 12.5 14.0 16.1 19.0 21.2 21.8 20.2 17.1 13.7 11.4 15.8
 
For Country Code 636
 
From input file /gnuit/GIStemp/STEP0/to_next_step/v2.mean_comb

The “v2.mean.comb” is v2 with the added Antarctic data that GIStemp glues in. It only differs from the vanilla v2 by that addition of added Antarctic stations. I could use the original v2 but would need to find where I stuck it ;-) Basically, just don’t see a reason to change the code for no effect right now.

v3

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
--------------------------------------------------------------------------
1854-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0  8.2  8.2    1
1855  7.5 10.8 10.5 13.0 13.4 17.2 20.0 23.4 19.1 15.7 12.3 10.0 14.4    1
1856 12.0 11.1 13.2 13.1 15.2 19.6 21.7 22.5 19.7 16.7 12.1 10.8 15.6    1
1857  8.9  9.9 12.0 13.5 15.1 19.3 23.4 20.6 20.3 16.8 14.2  9.6 15.3    1
1858  7.7 11.4 12.3 15.9 16.9 20.9 20.5 20.9 20.4 17.4 14.7 11.1 15.8    1
1859  8.6 11.3 13.3 15.4 15.5 17.6 23.0 22.0 19.7 16.5 13.4  9.6 15.5    1
1860 11.5  8.1 11.9 13.3 17.9 18.4 20.4 20.4 17.6 17.7 14.9 12.5 15.4    1
1861  9.1 10.2 13.7 14.6 17.3 18.6 20.2 23.3 20.6 17.3 13.5 10.3 15.7    1
1862 11.1 11.0 12.7 14.5 16.1 19.9 22.9 20.3 19.3 17.7 12.0 10.5 15.7    1
1863  9.9 10.6 12.5 15.3 15.9 18.7 20.9 21.7 19.0 16.5 13.3  8.5 15.2    4
1864  7.9  8.3 10.2 14.1 18.6 20.6 22.0 24.1 19.8 15.4 11.1  7.3 15.0    4
1865  8.9  9.8 10.1 14.5 15.4 21.0 21.6 20.3 22.0 15.9 12.0  8.9 15.0    5
1866  9.5 10.1  9.9 13.4 15.7 18.0 20.6 22.1 18.6 16.0 14.0 11.2 14.9    6
1867 10.3 12.0 11.4 15.2 15.2 20.2 20.6 21.0 19.7 15.9 12.1  7.7 15.1    6
1868  9.3 10.7 12.8 14.3 17.8 21.8 21.2 21.5 18.6 14.9 12.1 12.3 15.6    6
1869 10.2 11.1  9.8 14.3 14.9 19.4 21.7 22.5 19.6 16.1 12.2  8.7 15.0    6
1870  7.7  9.9 12.1 15.2 17.9 22.4 22.8 21.0 20.6 17.2 11.4  8.6 15.6    6
1871  7.2 11.2 11.7 15.3 16.3 17.5 21.5 22.2 18.2 16.1 12.0  7.3 14.7    6
1872  9.8 10.1 11.6 13.4 14.4 19.4 21.1 22.0 19.7 13.5 11.9  9.0 14.7    6
1873  9.5  8.8 10.5 12.3 17.5 20.0 22.1 22.2 20.1 15.2 12.0  9.0 14.9    6
1874  9.8 10.2 12.4 14.1 16.2 17.9 21.4 22.2 19.3 15.9 12.8  8.3 15.0    6
1875 10.2  9.0 11.4 13.5 18.2 18.7 18.9 22.4 21.2 16.7 13.5  7.9 15.1    6
1876  6.7 10.6 10.6 11.9 15.0 17.4 24.2 22.6 20.5 16.0 13.7 11.2 15.0    6
1877 10.8 10.7 11.3 13.3 16.2 19.1 22.2 21.5 19.0 16.3 13.0  9.9 15.3    6
1878  8.9 10.7 12.5 14.2 15.8 18.5 21.8 20.7 21.0 16.1 10.2  9.5 15.0    6
1879 10.3 10.0 11.1 11.5 15.2 17.3 20.8 21.3 18.0 16.2 13.8  8.2 14.5    6
1880  8.2 10.4 12.8 12.0 15.0 17.0 20.0 21.0 20.4 16.7 11.7 10.3 14.6    6
1881  9.7 10.7 13.0 13.4 16.5 19.1 23.0 22.9 19.6 15.2 13.6  8.9 15.5    6
1882  9.4 10.9 12.6 12.9 14.8 18.0 20.4 21.6 17.4 15.1 12.5  9.7 14.6    6
1883  9.9 10.3  9.2 12.8 14.2 16.7 19.6 21.9 18.6 14.9 12.5  8.6 14.1    6
1884 10.6  9.4 11.4 10.9 15.9 18.8 21.2 22.0 18.6 15.5 11.8  8.8 14.6    6
1885  7.8 11.6 10.6 11.2 15.3 18.1 19.9 19.5 19.2 13.8 12.6  9.7 14.1    6
1886  7.9  9.3 12.6 12.9 14.4 18.4 21.6 21.9 19.4 14.4 11.2 10.2 14.5    6
1887  9.1  9.1 12.1 12.1 15.5 21.2 22.0 21.6 18.7 14.7 11.6  8.7 14.7    6
1888  9.3  7.0  9.6 11.3 16.2 17.5 18.6 20.2 19.6 15.9 11.9 10.4 14.0    5
1889  8.2  9.3 10.1 10.9 13.7 16.5 19.4 19.9 19.8 14.1 13.0  8.3 13.6    5
1890 10.1  8.5  9.7 12.1 13.3 19.4 19.6 19.3 18.9 16.6 11.7  7.9 13.9    5
1891  7.3 10.2 10.3 13.0 14.1 18.2 20.0 19.6 18.8 14.9 11.8 10.5 14.0    5
1892  8.6  9.5 11.0 13.0 16.0 18.4 19.5 20.7 19.4 14.2 12.3  9.4 14.3    5
1893  8.4 10.4 13.6 14.2 16.7 19.1 21.1 22.1 18.7 16.7 11.7  9.4 15.2    5
1894  8.6  9.7 10.9 11.6 14.1 18.4 19.7 20.5 18.1 15.9 11.9 10.1 14.1    5
1895  7.7 10.7 10.1 12.9 16.1 18.8 20.2 21.0 20.1 16.0 14.0 10.9 14.9    5
1896  9.1 10.4 11.7 15.0 16.1 18.0 21.2 20.4 18.9 12.8 10.0  9.7 14.4    5
1897  7.9 11.4 13.1 12.9 15.3 19.6 21.6 20.1 18.4 16.6 13.5 10.7 15.1    5
1898  9.7 10.6 10.1 12.6 15.1 18.9 22.9 22.9 21.2 16.3 11.6  9.6 15.1    6
1899  9.4 11.2 12.1 15.2 16.8 19.0 22.8 22.9 20.5 18.4 13.7 10.2 16.0    6
1900  8.9 10.2  9.3 14.4 15.1 18.6 22.5 21.1 20.7 16.5 11.8 10.8 15.0    6
1901  9.0  7.7 10.2 13.6 16.0 20.2 22.5 22.5 18.7 15.0 11.1  8.3 14.6    5
1902 10.1 10.2 12.4 13.2 15.2 17.3 20.7 20.8 19.2 16.0 13.2 10.6 14.9    6
1903  9.7 11.5 11.6 14.5 14.5 17.8 21.2 22.3 18.6 16.1 13.6  9.7 15.1    6
1904  9.8 10.4 10.4 14.6 16.7 18.6 20.1 21.3 18.3 17.3 13.0 11.8 15.2    6
1905  9.5  9.9 12.2 14.5 16.0 17.1 22.0 20.7 18.6 15.9 11.8 10.8 14.9    6
1906 10.6  9.5 11.4 12.9 15.4 19.6 21.4 22.8 20.4 16.2 12.7 10.2 15.3    6
1907  9.7  9.6 13.0 13.9 14.6 18.9 20.5 22.5 20.9 15.0 12.2 11.6 15.2    6
1908 10.2 10.5 11.0 12.6 17.4 18.7 21.7 22.1 20.5 16.9 13.6 11.3 15.5    6
1909  9.6  9.6 10.9 14.7 16.6 16.8 21.9 22.0 18.9 17.1 12.6 11.9 15.2    6
1910  9.8 11.1 10.9 13.1 14.9 18.3 20.6 21.4 20.1 16.2 13.4 11.6 15.1    6
1911  8.8 11.1 11.0 12.4 15.7 17.8 22.5 22.0 21.0 15.4 12.6 11.8 15.2    6
1912  9.9 11.5 12.1 13.6 16.7 18.0 19.0 19.7 19.9 16.0 13.0 10.2 15.0    6
1913 10.7 10.2 11.5 12.2 15.8 20.4 21.5 20.9 18.5 15.5 13.4 10.4 15.1    6
1914  9.5 10.7 11.8 13.8 15.9 17.8 20.5 21.8 21.3 17.3 12.6 10.9 15.3    6
1915  9.6 10.2 12.6 12.7 16.4 19.1 21.8 22.2 20.4 16.4 13.4 12.2 15.6    6
1916 10.8 10.1 10.1 13.6 16.5 18.8 20.6 21.5 20.0 17.5 13.1 11.3 15.3    6
1917  9.1  9.6 10.2 12.6 15.6 18.1 21.7 20.2 20.8 15.8 13.5  8.8 14.7    6
1918 10.9 10.7 11.4 12.1 16.2 19.6 21.0 22.8 18.5 14.9 13.2 12.1 15.3    6
1919 10.1 13.1 11.3 12.7 15.8 20.7 20.8 23.1 20.0 16.1 11.9 10.6 15.5    6
1920 10.8 11.1 11.8 13.9 16.8 19.1 20.4 21.4 20.1 15.4 12.9 10.9 15.4    6
1921 10.7 10.2 11.8 13.5 15.8 19.5 22.6 22.2 20.7 18.7 14.3 11.7 16.0    6
1922 11.2 11.9 10.4 12.5 18.3 19.0 21.5 21.7 19.4 16.6 13.4 10.6 15.5    6
1923  9.4 11.0 12.5 11.7 15.4 19.6 22.0 23.0 20.0 18.1 13.3 11.1 15.6    6
1924 10.2  8.4 13.5 14.8 16.9 19.8 21.4 21.8 19.0 17.0 12.4 11.4 15.5    6
1925 10.1  9.6 10.0 12.5 14.9 19.2 20.6 21.8 21.1 17.5 12.0 11.8 15.1    6
1926 10.7 12.5 12.6 13.0 14.8 18.1 22.3 23.7 23.2 18.8 12.6 10.0 16.0    6
1927 10.2 11.9 12.4 14.8 16.7 19.9 20.3 21.8 20.0 18.7 13.6 12.4 16.0    6
1928 11.4 12.7 12.8 13.5 15.4 19.4 23.7 21.9 20.6 17.3 13.8 11.7 16.2    5
1929 11.4 12.2 13.9 15.3 15.9 20.0 21.9 22.8 21.4 17.0 13.6 12.4 16.5    6
1930 10.2  9.1 12.4 11.8 16.2 18.2 20.7 22.7 20.7 17.4 13.9 11.7 15.4    6
1931 12.4 12.9 14.1 14.7 16.0 18.8 20.4 21.4 20.3 18.5 15.4 12.6 16.5    4
1932 12.5 11.7 13.8 13.6 15.7 18.8 20.4 22.2 20.5 17.3 14.7 12.8 16.2    4
1933 11.4 12.1 13.8 15.4 17.7 18.9 22.0 22.6 20.4 17.6 14.0 11.2 16.4    4
1934 11.5 11.3 12.5 12.8 16.8 19.2 21.5 21.5 20.0 18.6 13.4 14.1 16.1    4
1935 11.4 12.1 14.2 14.5 15.4 17.6 20.8 21.6 20.5 17.2 14.5 13.9 16.1    4
1936 13.4 12.6 12.6 13.9 15.1 17.4 20.3 22.2 20.6 17.2 14.5 11.9 16.0    4
1937 11.1 13.1 12.6 15.1 16.4 18.5 19.7 22.2 20.9 17.7 15.0 12.4 16.2    4
1938 12.3 12.3 14.6 15.9 16.6 20.0 21.0 21.9 19.9 18.7 16.2 13.0 16.9    4
1939 13.1 13.2 13.3 14.7 17.0 19.0 21.0 21.4 20.5 16.8 14.7 13.4 16.5    4
1940 12.6 13.0 14.7 15.0 15.8 19.0 20.5 22.7 20.5 17.2 14.9 12.5 16.5    4
1941 12.8 13.5 13.8 14.7 16.5 20.2 21.7 22.5 21.7 19.1 15.6 13.6 17.1    3
1942 13.4 13.0 13.8 14.6 16.1 19.0 20.7 22.0 21.8 18.9 15.4 14.0 16.9    3
1943 13.8 13.2 13.4 16.0 17.0 20.4 21.1 22.7 19.3 17.2 15.7 14.3 17.0    3
1944 13.6 13.1 14.5 16.1 17.3 20.1 21.2 22.0 21.0 18.1 16.6 14.0 17.3    3
1945 13.0 14.6 15.7 16.1 16.5 19.7 20.7 21.5 20.6 18.7 15.8 14.4 17.3    3
1946 12.3 14.2 13.4 15.0 15.5 19.1 21.7 21.4 20.5 17.7 15.1 13.7 16.6    3
1947 11.6 13.2 14.0 15.7 16.0 18.5 20.7 21.6 20.4 19.5 18.1 15.4 17.1    3
1948 14.5 13.5 15.2 14.7 15.8 19.8 21.1 21.9 21.7 19.8 16.7 14.4 17.4    3
1949 13.3 14.1 13.9 15.8 16.9 20.1 22.2 22.8 20.4 18.2 16.5 13.5 17.3    4
1950 12.7 13.6 13.9 14.9 16.4 18.6 21.3 21.6 21.3 18.7 16.4 14.2 17.0    4
1951 14.0 13.2 14.1 15.9 16.9 19.6 21.1 22.6 22.0 18.8 15.6 14.6 17.4    4
1952 13.1 14.2 14.8 15.0 16.9 19.4 21.7 22.1 21.1 19.0 16.7 15.6 17.5    4
1953 13.5 13.2 14.3 15.2 17.7 19.2 22.5 23.5 22.0 18.5 16.8 13.9 17.5    4
1954 13.0 13.1 14.1 14.7 16.5 18.9 21.0 21.8 21.9 20.3 16.4 14.4 17.2    4
1955 15.3 13.7 13.1 15.9 18.3 19.6 21.7 22.5 22.1 19.3 15.6 15.4 17.7    4
1956 13.2 12.5 13.6 14.8 17.2 19.4 21.6 22.0 20.5 18.9 15.6 13.8 16.9    4
1957 13.0 12.8 14.4 14.7 16.9 18.7 20.9 22.5 21.8 18.8 15.9 13.6 17.0    4
1958 13.8 14.1 14.9 14.8 16.7 19.3 21.4 21.6 20.5 19.4 16.2 14.1 17.2    4
1959 13.6 12.8 13.1 14.6 17.0 19.9 21.0 22.2 21.1 18.2 15.6 14.6 17.0    4
1960 13.4 12.7 13.6 15.4 16.6 19.4 21.6 22.3 21.3 18.3 16.0 13.7 17.0    4
1961 10.1 12.7 14.4 14.2 17.2 19.1 21.2 22.8 20.1 16.2 13.0 12.2 16.1   18
1962 10.5 10.5 11.9 13.8 15.8 19.6 20.4 21.6 20.3 18.0 11.9 10.2 15.4   18
1963 10.1  9.4 11.6 13.4 16.1 18.0 21.1 20.5 19.3 18.4 13.6 10.2 15.1   18
1964 10.4 11.3 11.3 13.1 17.5 18.8 20.8 21.7 21.4 16.6 13.7 10.1 15.6   18
1965 10.3  9.8 12.6 14.2 17.6 19.4 19.6 21.6 18.7 16.9 12.5 11.6 15.4   18
1966 12.2 11.6 12.5 13.7 16.7 18.2 20.8 21.0 21.0 15.9 11.5 11.0 15.5   18
1967 10.3 11.2 13.7 13.7 14.3 19.1 21.1 21.0 19.7 17.6 13.1 10.7 15.5   18
1968 11.0 10.9 11.6 12.8 15.7 19.0 20.7 21.2 19.1 18.3 13.6 11.0 15.4   18
1969 11.0  9.6 11.5 13.0 14.5 17.9 22.3 21.6 18.3 17.4 12.2 10.0 14.9   18
1970 11.0 10.4 10.8 13.5 16.3 17.8 21.2 20.7 21.1 17.2 15.0  9.2 15.3   18
1971 10.2 11.5 10.9 12.9 14.1 17.2 20.8 19.8 20.1 18.6 12.8 11.6 15.0   19
1972  9.4 10.1 11.1 13.7 14.8 17.1 21.0 20.9 18.8 15.7 13.9 10.9 14.8   19
1973 10.0 10.3 12.0 13.9 15.3 18.9 20.2 22.3 19.6 16.7 14.3 10.8 15.3   19
1974 11.4 10.7 11.4 12.4 15.8 18.4 21.5 20.7 18.4 15.2 13.5 11.9 15.1   19
1975 11.2 11.3 11.2 13.4 15.2 18.4 21.1 21.7 19.0 17.1 13.6 10.0 15.3   19
1976 10.6 11.2 12.2 12.4 15.8 20.5 21.5 21.2 18.6 15.4 12.5 11.6 15.3   19
1977 10.5 11.5 12.6 14.1 15.5 17.1 19.6 20.0 21.0 16.9 13.3 12.5 15.4   19
1978 10.4 11.5 12.1 12.5 14.8 16.9 20.5 21.5 22.3 17.3 14.2 12.2 15.5   19
1979 10.8 11.4 10.9 12.9 15.5 19.1 21.6 21.5 20.4 15.9 14.1 12.2 15.5   19
1980 11.1 11.6 12.0 14.3 15.5 18.5 20.4 22.2 21.0 17.3 13.2 10.7 15.7   20
1981 10.7 10.5 13.1 12.7 14.6 20.5 21.4 21.7 20.2 17.2 15.9 12.5 15.9   19
1982 11.4 11.2 12.6 14.2 16.1 18.4 19.7 21.7 20.3 16.1 12.8 10.8 15.4   14
1983 10.6  9.8 13.3 12.5 14.0 19.1 19.8 20.8 21.5 17.6 14.8 11.7 15.5   14
1984 10.3 10.3 10.8 15.3 13.4 18.4 21.0 21.6 20.1 17.2 13.2 11.4 15.2   13
1985  9.4 11.6 11.4 13.7 14.6 18.8 21.3 21.8 22.4 18.4 12.9 11.3 15.6   13
1986 10.1 10.2 11.5 10.8 16.4 18.8 22.3 21.1 20.3 18.1 13.8 11.5 15.4   13
1987 10.5 11.1 13.4 13.8 16.2 19.4 21.7 22.5 22.0 15.3 13.5 12.3 16.0   13
1988 10.8 10.5 12.8 13.7 15.2 18.0 21.0 22.1 21.6 17.3 14.3 11.7 15.7   13
1989 10.8 11.8 13.0 12.2 16.9 19.7 23.4 22.5 20.1 18.3 13.7 12.5 16.2   13
1990 10.3 12.4 13.4 12.7 17.1 19.0 23.1 22.9 20.9 16.5 13.2 10.5 16.0   13
1991  9.3  9.0 11.8 13.0 17.0 19.9 22.6 23.4 21.3 15.6 13.1 11.2 15.6   14
1992  9.2 10.7 13.3 14.4 17.3 17.2 22.3 22.2 19.3 14.9 14.1 11.2 15.5   15
1993  9.9 10.8 12.1 12.6 14.4 17.0 22.1 21.6 17.8 14.2 12.1 11.0 14.6   15
1994  9.8  9.8 14.0 12.9 15.1 19.7 21.1 21.4 18.9 17.3 14.2 11.9 15.5   15
1995 11.0 11.8 13.1 15.2 17.8 19.8 22.2 23.1 18.9 18.6 14.4 11.8 16.5   15
1996 10.5  9.3 11.9 14.2 15.2 20.4 22.0 21.0 18.7 16.4 12.4 10.3 15.2   15
1997  9.1 12.0 15.9 16.3 15.8 17.1 21.3 21.8 21.2 18.4 13.2 10.9 16.1   12
1998 10.2 12.2 14.0 11.9 15.7 19.1 22.1 23.6 20.2 16.6 13.6 10.1 15.8   13
1999  9.8 10.2 12.3 14.3 16.3 19.6 22.6 21.7 19.5 16.0 11.7 10.7 15.4   13
2000  8.7 12.6 13.5 11.9 16.3 20.3 21.0 21.8 20.4 16.3 12.5 11.7 15.6   14
2001 12.5 12.3 13.9 15.0 16.8 20.4 21.4 22.1 20.9 17.9 13.9 11.4 16.5    7
2002 12.6 12.8 13.3 15.0 16.6 19.2 21.5 21.9 20.0 17.7 14.8 13.4 16.6    9
2003 12.2 11.7 13.5 14.1 17.8 20.6 21.9 23.4 21.4 16.7 14.1 12.0 16.6    8
2004 12.5 11.6 12.5 14.4 16.8 21.9 22.3 21.7 21.0 17.5 14.0 12.0 16.5    7
2005 11.1 10.6 13.3 15.0 17.1 21.3 21.9 23.2 20.8 17.7 13.3 13.2 16.5    7
2006 10.1 10.9 13.3 15.2 17.9 19.9 22.9 23.2 21.1 18.1 15.4 12.1 16.7    6
2007 12.3 12.6 13.1 14.9 17.0 18.6 21.5 21.7 20.9 18.0 14.5 13.2 16.5    6
2008 12.3 12.8 13.3 15.3 16.6 21.4 21.8 22.0 20.2 18.0 12.4 10.7 16.4    7
2009 10.6 10.9 14.0 13.5 17.0 19.9 20.8 22.8 21.8 18.9 13.7 10.3 16.2    3
2010 10.1  9.6 11.4 14.7 16.1 19.3 23.1 23.8 20.5 17.2 13.4  9.4 15.7    3
2011 10.1 10.5 11.5 14.8 16.4 19.4 21.6 23.0 21.9 18.8 13.1 10.8 16.0    3
2012 10.6 11.1 13.1 12.9-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0 11.9    3
AA   10.4 10.9 12.2 13.6 15.9 18.9 21.2 21.7 20.1 16.8 13.4 11.1 15.5
Ad   10.5 11.1 12.3 13.8 16.0 19.0 21.3 21.8 20.1 16.9 13.5 11.2 15.6
 
For Country Code 636
 
From input file ./data/v3.mean

OK, at this point take a moment to look at the AA and Ad fields. Notice that for v3 it is 15.5 and 15.6 C. Not a whole lot of difference between the average of averages and averages of the total data. Now look at v1 ( 16.0 and 16.1) and v2 (15.7 and 15.8). Overall, the DATA have been, on average, cooling. from 16.0 to 15.7 to 15.5 for the average of averages and from 16.1 to 15.8 to 15.6 for the simple averages of ALL the data.

Now “riddle me this Batman”: HOW can we say reality is warming due to warmer recent data when the AVERAGES are dropping? It is largely or entirely an artifact of cooling the past data and not the ‘recent warm entries’.

We have fully 1/2 C of overall DATA COOLING DESPITE ADDED RECENT DATA BEING “WARMER”.

I find that incredible.

Now take just moment to look at those averages. About 15.5 to 16 C.
And what are the recent annual numbers? About 15.5 to 16 C right up until about 2000 in v3.
(Though the 1950s were about 17.x C)

For v2 it was in 1980 when it jumps up to 16.5+ C while v1 hardly shows anything until the last couple of years with ’88, ’89, and ’90 being “warm” (though no longer exceptional by the time they show up in v3).

The “excuse” given is that codes like GIStemp that turn this into Grid Box Anomalies (NOT thermometer temperature record anomalies, BTW) will somehow perfectly fix this data bias. My assertion is simple: The code is not perfect. The data bias leaks through.

As to the question of “Is the bias accidental or deliberate?” I will leave that to the ethics panel…

Spain

In many ways Spain is interesting simply as the counter example. A place where “not much happens” to the data. We get some added data in early years (in the part of the record that doesn’t really matter to codes like GIStemp) and we get, well, not much else. I’ll point out a couple of little things, but the major contrast is just how Portugal changes and Spain, right next door, does not match it. There is a gentle cooling of the not-too-distant past and a slight warming of recent records but nothing really dramatic.

615 643 643 SPAIN

v1

The AA and Ad fields are about 15 C +/- a 1/10 or two. And what do we find in the annual averages of the data? About 15 C +/- a couple of tenths. (Though I note that the very early thermometer runs warmer than that and some of the later 1800s were colder or had added thermometers in cooler mountain / shore locations).

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
--------------------------------------------------------------------------
1835  9.5 10.8 12.2 14.3 17.6 20.3 26.2 24.9 21.5 16.7 11.5  7.8 16.1    1
1836  8.1  9.0 12.9 13.0 15.2 22.5 26.7 25.5 20.6 18.2 12.2  8.9 16.1    1
1837  7.7 10.7  8.8 12.4 16.8 24.1 26.6 26.6 21.6 17.2 12.0 10.4 16.2    1
1838  8.7 10.3 12.6 13.7 18.7 23.5 26.1 25.8 21.4 17.2 15.0  9.1 16.8    1
1839  7.6  9.7 12.5 14.6 18.5 23.6 25.7 25.3 21.2 17.2 13.1 11.3 16.7    1
1840  7.5  7.6  7.2 12.1 17.5 23.7 24.6 25.9 20.5 15.9 11.4  6.4 15.0    2
1841  6.0  8.7 12.0 13.5 18.3 20.8 23.8 24.4 21.4 15.7 11.3  8.0 15.3    2
1842  4.2  8.3 12.2 11.6 18.5 24.9 26.4 24.5 19.8 13.8 10.0  8.0 15.2    2
1843  8.0  9.1 10.0 14.3 17.1-99.0-99.0-99.0-99.0-99.0-99.0-99.0 11.7    2
1844-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0  NaN    2
1845-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0  NaN    2
1846-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0  NaN    2
1847-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0  NaN    2
1848-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0  NaN    2
1849-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0  NaN    2
1850-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0  NaN    2
1851-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0  NaN    2
1852-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0  NaN    2
1853-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0  4.7  4.7    2
1854  6.6  9.0 12.4 15.6 17.5 21.4 27.5 28.2 23.7 16.0  8.6-99.0 17.0    2
1855-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0  NaN    2
1856  7.9  8.6 12.2 12.3 17.9 23.6 29.6 28.8 19.2 16.2  8.2  6.7 15.9    2
1857  4.7  6.6 11.9 13.7 15.8 23.2 30.5 25.9 21.8 14.8 11.1  5.9 15.5    2
1858  2.5  7.5 11.2 17.7 19.2 26.2 26.1 26.2 22.6 15.7 10.0  5.7 15.9    2
1859-99.0-99.0 10.9-99.0 14.5 18.2 27.4-99.0 22.6 13.2-99.0  5.8 16.1    2
1860  6.9  3.1  9.3 10.7 19.0 20.8 24.5 24.0 15.9 15.8  9.9  6.2 13.8    2
1861  5.0  5.8 11.0 12.0 16.1 20.4 24.1 27.5 21.2 15.7  9.0  5.9 14.5    2
1862  4.8  6.2  9.4 13.7 16.4 20.7 26.4 23.5 17.9 15.3  7.1  5.3 13.9    2
1863  4.4  5.8  8.4 14.5 14.6 21.8 26.3 24.0 19.5 13.4  8.8  5.1 13.9    2
1864  4.2  5.2  8.8 13.9 18.4 21.5 25.8 25.4 21.1 13.2  8.0  2.8 14.0    2
1865  5.9  6.4  6.8 13.1 16.9 21.1 25.1 23.9 22.4 13.7  8.7  3.7 14.0    2
1866  6.6  8.8  8.5 13.2 15.7 19.4 23.1 23.0 19.5 15.6 10.7  8.5 14.4    5
1867  7.3  9.6 10.5 14.4 16.7 20.0 22.4 22.8 18.9 13.9  9.8  5.5 14.3    5
1868  5.6  7.5  9.7 12.8 18.4 21.7 23.6 22.8 19.2 13.4  9.0 10.3 14.5    5
1869  7.3  8.7  7.3 13.5 15.9 19.7 24.1 22.6 20.9 14.8  9.4  5.9 14.2    5
1870  5.1  7.7  8.9 12.7 18.0 21.9 24.1 22.5 21.4 15.8  8.8  5.0 14.3    5
1871  3.3  8.4 10.0 14.4 16.8 17.2 23.2 23.4 20.2 15.8  9.6  3.1 13.8    5
1872  7.0  8.9  9.9 11.0 13.9 20.4 23.4 23.5 19.3 12.2  9.1  6.6 13.8    5
1873  6.9  5.7 10.0 10.8 16.5 19.3 24.4 23.8 19.8 13.9  9.9  5.7 13.9    5
1874  6.7  7.7  9.2 13.0 14.6 19.5 24.0 22.9 20.0 15.6 10.4  5.8 14.1    5
1875  7.8  5.7  8.8 12.4 18.5 19.3 21.2 24.3 21.4 15.6 10.4  4.7 14.2    5
1876  5.0  8.4  9.6 11.3 14.7 18.6 24.8 24.1 20.8 16.3 11.2  8.8 14.5    5
1877  8.1  8.2  8.9 12.8 15.3 21.4 23.2 24.1 18.6 13.8 10.9  6.1 14.3    5
1878  4.7  7.8  9.4 14.4 17.0 20.9 23.7 23.7 21.3 15.8  7.6  6.8 14.4    5
1879  8.1  7.3  9.5 10.2 13.1 20.4 22.6 24.7 18.5 15.3 10.4  4.0 13.7    5
1880  3.8  8.1 11.5 11.0 14.2 18.2 23.7 22.8 20.9 16.2  9.3  5.4 13.8    5
1881  6.1  9.4 11.8 12.8 15.5 18.8 24.7 24.2 19.1 13.4 11.0  6.2 14.4    5
1882  6.2  8.1 10.6 13.0 16.4 20.0 21.6 23.2 17.2 14.2 10.7  6.6 14.0    5
1883  6.7  8.2  6.7 11.4 15.2 18.0 21.7 23.4 19.2 14.0 10.8  3.8 13.3    5
1884  7.3  8.8  9.7 10.5 15.7 17.5 22.2 23.5 18.5 13.3  9.2  5.4 13.5    5
1885  2.9 10.2  9.0 10.1 15.4 18.8 22.2 22.3 18.1 12.7 10.2  6.6 13.2    5
1886  4.9  7.0 10.8 11.9 15.1 18.5 22.6 21.7 20.0 14.2  9.0  6.6 13.5    5
1887  5.6  5.1  9.8 10.6 14.1 21.3 23.2 23.4 18.4 11.2  9.0  5.2 13.1    5
1888  5.5  4.0  7.5 10.2 16.3 18.9 20.8 21.7 19.1 14.0  9.9  8.2 13.0    5
1889  5.8  6.7  7.9 10.5 15.5 18.3 22.3 22.2 20.4 13.4 10.6  4.1 13.1    5
1890  7.0  6.3  7.6 11.2 13.8 20.6 21.5 22.0 18.9 14.6  8.5  4.3 13.0    5
1891  3.2  6.7  8.0 11.7 13.8 18.9 22.6 21.0 19.6 15.1  9.5  7.3 13.1    5
1892  5.7  7.3  8.5 11.6 15.7 20.8 22.4 22.0 20.0 12.6 10.1  5.4 13.5    5
1893  4.1  7.9 11.7 13.7 16.7 20.0 22.1 23.9 18.6 14.3  8.3  6.2 14.0    5
1894  4.5  7.1  9.1 11.3 13.9 20.1 22.8 22.4 18.0 14.8 10.5  6.5 13.4    5
1895  4.1  7.5  8.5 12.5 15.0 18.9 22.7 23.2 22.2 15.3 12.6  7.5 14.2    5
1896  5.7  7.3 10.7 12.1 14.1 18.9 22.7 19.7 19.5 11.6  7.1  6.5 13.0    5
1897  5.3  9.2 11.7 13.3 15.2 21.0 23.7 22.6 18.3 14.0 11.6  7.3 14.4    5
1898  7.2  7.2  8.0 12.2 14.5 18.9 23.1 23.5 20.9 14.8 10.5  7.2 14.0    5
1899  6.5  9.6  9.7 13.6 16.4 18.9 22.6 23.9 20.3 17.5 10.8  6.4 14.7    5
1900  6.2  9.3  7.4 12.8 15.1 20.4 23.6 22.1 20.7 15.4  9.3  8.1 14.2    5
1901  7.6  5.0  9.6 14.1 16.2 23.1 24.8 25.0 20.9 14.7 10.0  7.3 14.9    5
1902  7.3  9.0 11.9 14.4 15.1 19.8 25.1 24.6 20.3 15.0 12.4  8.7 15.3    5
1903  7.7  9.0 11.4 13.1 15.8 19.6 23.8 24.8 20.3 16.8 11.8  7.0 15.1    5
1904  7.0  8.9  9.6 13.9 19.1 22.2 25.9 25.5 20.5 16.7 10.9  9.8 15.8    5
1905  6.9  7.3 12.0 15.1 16.0 20.8 25.1 24.4 19.9 14.5 10.3  7.8 15.0    5
1906  8.3  7.3 10.0 11.7 16.1 22.0 24.4 26.6 21.1 16.5 11.2  7.9 15.3    5
1907  7.1  7.1 11.0 12.7 15.6 21.9 23.5 25.7 21.4 15.0 12.1 10.4 15.3    5
1908  8.7  8.5  9.0 11.3 19.0 20.0 24.3 24.5 21.8 17.3 13.0  9.2 15.6    5
1909  6.3  6.4  9.8 14.4 16.9 18.7 23.0 24.6 19.3 17.0 10.7  9.6 14.7    5
1910  7.8  9.3  9.8 12.6 14.8 21.0 23.5 23.8 19.7 15.7 11.4  9.2 14.9    5
1911  5.5  8.4  9.9 12.0 15.9 19.8 25.5 26.0 23.2 16.0 11.8  9.9 15.3    5
1912  8.2 10.5 12.3 12.8 17.9 20.9 23.1 22.7 19.0 15.3 10.3  7.3 15.0    5
1913  8.8  8.5 11.2 12.5 17.1 22.4 24.4 24.5 20.1 16.5 13.0  8.0 15.6    5
1914  5.7  9.6 12.2 15.3 16.8 19.3 23.7 24.2 21.9 16.1 10.4  8.7 15.3    5
1915  7.4  7.7 10.5 11.9 17.4 19.3 25.3 25.4 20.4 14.9 11.5  9.7 15.1    5
1916  8.0  8.3  9.4 13.4 17.4 20.7 24.3 25.3 19.8 16.8 11.4  9.0 15.3    5
1917  6.5  7.7  9.0 11.3 16.8 21.2 25.2 23.5 22.3 14.3 10.7  8.4 14.7    5
1918  7.3  8.0  9.0 11.4 17.0 20.6 24.3 25.6 21.6 13.5 11.1  8.8 14.8    5
1919  6.6  9.6 10.0 12.2 17.2 22.5 23.0 25.4 21.1 13.5  9.4  7.1 14.8    5
1920  9.5 10.9 12.0 15.2 20.5 22.4 25.7 24.5 22.3 18.2 13.0 10.3 17.0    5
1921  7.2  8.4  9.7 11.9 16.3 21.1 24.6 23.7 22.6 18.3 10.3  7.7 15.2    5
1922  7.5  8.9  9.9 13.1 19.1 20.1 23.2 24.4 18.5 15.9 10.6  6.8 14.8    5
1923  5.8  9.1 11.1 11.7 16.2 18.3 24.6 25.2 19.4 17.6 10.5  7.4 14.7    5
1924  7.6  5.8 10.3 13.2 18.7 21.4 24.4 21.0 20.7 16.5 11.1  8.1 14.9    5
1925  7.2  7.5  7.7 12.4 15.3 20.6 22.0 23.6 19.3 15.7  9.6  8.2 14.1    5
1926  6.9 10.0 10.5 12.1 13.8 18.1 21.7 23.4 21.8 16.0 10.0  5.7 14.2    5
1927  6.5  6.8  9.9 13.3 16.4 19.4 21.6 21.7 18.7 15.5  9.6  7.8 13.9    5
1928  6.2  8.8 10.0 11.2 13.9 19.8 24.3 23.4 20.0 15.0 10.0  5.8 14.0    5
1929  4.4  7.5  9.9 12.8 14.7 20.1 23.1 21.9 20.1 14.7 10.1  8.7 14.0    5
1930  7.2  5.1  9.9 10.9 15.5 19.6 21.3 22.9 20.2 16.6 11.4  7.6 14.0    5
1931  5.7  6.2 10.6 12.0 15.1 21.1 21.6 20.9 17.0 14.9 10.4  5.8 13.4    5
1932  6.5  5.2  9.8 10.4 14.7 18.0 20.4 23.4 20.0 14.2 10.9  8.3 13.5    5
1933  5.2  6.8 10.0 13.7 16.9 17.6 23.4 25.1 20.4 15.1  8.2  4.1 13.9    5
1934  5.0  6.2  8.0 11.3 16.7 20.9 23.9 21.1 20.7 15.8  7.5  9.1 13.9    5
1935  5.3  7.7 10.4 12.7 13.8 21.0 25.3 23.7 22.3 15.0 10.6  9.0 14.7    5
1936  9.4  9.7 10.2 12.9 14.1 18.2 22.9 25.3 20.5 12.3-99.0-99.0 15.6    5
1937 10.9-99.0  8.0-99.0 16.7 21.7 26.1 25.7 19.6 16.3  9.9  4.4 15.9    5
1938  6.3  6.5 10.8 13.5 15.5 22.9 24.3 23.9 20.3 17.2 13.3  8.5 15.2    5
1939 10.0  9.6 11.3 14.0 15.2 19.6 23.7 24.3 21.8 15.7 12.0  8.2 15.5    5
1940  5.5  9.3 11.7 12.5 15.3 18.6 21.6 22.4 19.4 13.4  9.7  5.0 13.7    5
1941  5.1  8.0 10.2 11.1 12.8 18.8 22.2 21.2 19.4 15.5  8.8  5.5 13.2    5
1942  5.5  5.0 10.5 12.1 15.7 19.9 22.0 21.8 19.3 16.4  9.6  7.1 13.7    5
1943  6.8  7.5  9.8 13.9 17.2 21.2 22.2 23.5 19.4 14.8  8.6  6.9 14.3    5
1944  5.7  5.1  9.2 13.5 16.5 19.7 22.6 23.7 19.6 12.2 10.0  6.1 13.7    5
1945  4.3  9.3 11.3 15.8 17.7 22.2 24.3 22.5 22.0 16.8 11.7  9.0 15.6    5
1946  5.1  8.1  9.3 13.1 13.7 18.8 22.6 22.3 20.2 16.2 10.1  5.7 13.8    5
1947  5.4  7.0 11.0 13.8 15.8 21.5 24.1 23.1 19.7 15.6 13.0  6.8 14.7    5
1948  8.5  8.7 12.4 13.1 15.9 20.9 22.4 23.5 20.8 16.4 12.6  9.4 15.4    5
1949  8.8  9.9 10.5 15.8 16.4 22.3 25.6 26.0 22.4 17.3 12.5  9.2 16.4    5
1950  8.1 10.1 11.4 13.3 17.0 22.5 26.3 24.9 21.3 17.4 13.5  7.5 16.1    5
1951  8.1  8.3 10.7 12.7 14.2 20.4 23.2 22.2 21.0 14.9 11.9  9.6 14.8   18
1952  6.5  8.3 13.1 13.6 17.2 21.9 23.4 23.1 18.8 17.0 12.0  8.9 15.3   18
1953  6.3  7.5 10.6 13.4 18.5 19.1 23.0 24.2 21.0 15.9 12.6 11.5 15.3   18
1954  6.5  7.7 11.0 12.4 16.2 19.9 22.3 22.0 20.9 17.4 13.5  9.4 14.9   18
1955 11.2  9.4 10.2 14.8 18.2 20.7 23.8 23.8 20.7 16.1 11.6 10.5 15.9   18
1956  9.0  4.1 10.8 12.4 16.5 19.1 22.4 22.6 20.2 15.9  9.6  7.1 14.1   18
1957  6.2 10.7 13.3 12.6 15.7 19.2 23.1 23.6 21.1 15.7 10.7  7.4 14.9   18
1958  8.1 10.4 11.3 12.3 17.7 19.8 22.3 23.3 22.3 16.2 11.5 10.2 15.4   18
1959  9.1  8.9 12.0 13.7 15.8 20.5 24.1 23.2 20.6 16.1 11.4  9.7 15.4   18
1960  8.3  9.8 12.1 13.7 17.6 21.7 22.7 22.7 20.0 14.4 12.0  7.5 15.2   18
1961  7.6 11.3 12.4 15.1 18.2 20.9 23.4 23.3 22.0 16.3 11.8 10.1 16.0   18
1962  9.3  8.7 10.5 13.4 16.6 20.2 23.2 24.3 22.0 17.6  9.7  7.3 15.2   18
1963  7.6  7.2 11.3 13.0 16.0 19.9 23.5 22.0 19.5 17.0 13.0  8.0 14.8   18
1964  7.4  9.8 11.1 13.0 19.2 20.9 24.1 23.6 22.8 15.4 11.3  7.7 15.5   18
1965  7.7  7.0 11.5 13.4 17.9 21.5 22.5 23.0 18.5 16.9 11.6  9.8 15.1   18
1966 10.2 11.5 10.5 14.1 17.1 20.2 22.2 23.2 21.9 15.8  9.6  8.7 15.4   18
1967  7.7  9.5 12.4 12.5 15.7 19.2 24.1 23.2 20.2 17.9 12.4  7.5 15.2   18
1968  8.4  9.7 10.5 13.3 16.0 20.3 23.3 22.8 20.6 18.4 12.4  9.5 15.4   18
1969  9.1  7.5 10.9 13.0 16.2 18.8 23.5 23.1 18.7 16.9 11.0  7.9 14.7   18
1970  9.7  9.2  9.3 12.9 16.4 20.7 23.5 23.1 22.1 15.5 13.7  6.6 15.2   18
1971  8.6 10.3  9.4 14.0 16.1 19.5 24.1 24.2 22.0 18.8 11.0  9.9 15.7   17
1972  8.2 10.3 11.6 13.5 15.9 19.5 23.2 22.8 19.0 16.0 13.5  9.9 15.3   17
1973  8.9  9.2 10.4 13.4 17.8 21.2 23.9 25.1 21.5 17.6 13.0  9.0 15.9   17
1974 10.5  9.9 11.8 12.5 17.8 20.7 24.0 23.9 20.9 14.3 12.6 10.4 15.8   17
1975 10.1 10.8 10.4 13.5 15.9 20.2 24.9 24.7 20.3 17.4 12.3  8.8 15.8   17
1976  8.3 10.3 11.9 12.7 17.6 22.7 24.4 23.9 20.1 15.5 10.8 10.5 15.7   17
1977  9.3 11.6 12.8 14.3 15.9 18.9 21.8 22.0 21.6 17.8 13.0 11.6 15.9   17
1978  8.8 11.3 12.5 13.0 15.8 19.0 23.0 24.2 22.7 17.0 12.6 11.7 16.0   17
1979 10.4 10.8 11.5 13.0 17.1 21.7 24.2 23.9 21.0 16.6 11.9 10.2 16.0   17
1980  8.4 10.9 12.0 13.2 15.9 20.2 22.6 23.6 22.9 16.1 11.1  8.6 15.5   17
1981  7.9  8.4 13.3 12.9 15.7 20.9 22.0 23.1 21.2 17.0 13.6 10.6 15.6   36
1982 10.7 10.4 11.3 13.5 16.7 21.4 23.6 23.1 20.9 15.8 11.9  8.9 15.7   36
1983  8.2  7.7 12.3 13.1 15.3 21.1 23.5 22.5 22.5 17.8 14.4  9.7 15.7   36
1984  8.7  8.5  9.4 14.7 13.3 19.2 23.4 22.4 20.2 16.0 12.9  9.6 14.9   36
1985  6.7 11.1 10.5 14.1 15.2 20.6 24.1 23.1 22.9 18.2 11.5  9.5 15.6   36
1986  8.7  8.7 11.2 10.7 17.8 20.3 23.6 23.0 21.4 17.1 11.9  8.9 15.3   35
1987  7.7  9.4 12.3 14.6 16.3 20.3 23.3 24.2 23.2 16.4 12.0 10.7 15.9   35
1988 10.2  9.6 11.7 13.5 16.6 18.8 23.0 23.9 21.2 17.3 13.1  8.5 15.6   33
1989  8.0 10.1 12.7 12.3 17.9 21.2 24.8 24.7 20.4 17.7 13.9 12.5 16.3   31
1990  8.6 12.6 12.7 12.5 17.8 20.9 24.3 24.4 22.8 17.0-99.0-99.0 17.4   31
AA    7.8  8.9 11.0 13.0 16.3 20.2 23.4 23.3 20.8 16.2 11.6  8.6 15.1
Ad    7.0  8.3 10.4 12.9 16.3 20.5 23.8 23.7 20.5 15.6 10.9  7.7 14.8
 
For Country Code 615
 
From input file ./data/v1.mean

Note that the monthly averages run about the same as the monthly averages for the final years (though 1988 had a warm Jan and 1987 had a warm Nov; while 1988 had a cool June).

v2

Here AA and Ad move up to 15.0 and 15.1 C and we still find annual averages cycling around that range.

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
--------------------------------------------------------------------------
1835  9.5 10.8 12.2 14.3 17.6 20.3 26.2 24.9 21.5 16.7 11.5  7.8 16.1    1
1836  8.1  9.0 12.9 13.0 15.2 22.5 26.7 25.5 20.6 18.2 12.2  8.9 16.1    1
1837  7.7 10.7  8.8 12.4 16.8 24.1 26.6 26.6 21.6 17.2 12.0 10.4 16.2    1
1838  8.7 10.3 12.6 13.7 18.7 23.5 26.1 25.8 21.4 17.2 15.0  9.1 16.8    1
1839  7.6  9.7 12.5 14.6 18.5 23.6 25.7 25.3 21.2 17.2 13.1 11.3 16.7    1
1840  7.5  7.6  7.2 12.1 17.5 23.7 24.6 25.9 20.5 15.9 11.4  6.4 15.0    2
1841  6.0  8.7 12.0 13.5 18.3 20.8 23.8 24.4 21.4 15.7 11.3  8.0 15.3    2
1842  4.2  8.3 12.2 11.6 18.5 24.9 26.4 24.5 19.8 13.8 10.0  8.0 15.2    2
1843  8.0  9.1 10.0 14.3 17.1-99.0-99.0-99.0-99.0-99.0-99.0-99.0 11.7    2
1849 10.8 11.0 12.4 13.1 17.4 20.4 23.4 22.8 18.3 16.0 12.3 10.2 15.7    1
1850 10.1 14.0 14.1 17.4 17.5 22.0 23.4 23.6 22.0 17.3 14.0 11.7 17.3    2
1851  9.9  9.8 11.8 14.9 16.5 21.7 22.1 24.5 21.1 17.7 11.4 10.1 16.0    3
1852 11.4  9.5 13.5 16.2 17.1 19.5 23.0 22.8 20.5 17.6 15.2 12.8 16.6    3
1853 11.3  7.2  9.6 15.0 14.8 19.2 21.8 22.4 19.9 15.9 12.8  7.5 14.8    4
1854  8.8  9.7 12.8 15.9 16.7 20.0 23.5 24.5 23.2 17.1 11.1  9.0 16.0    3
1855  8.1 11.4 12.0 14.3 15.3 18.8 22.2 24.3 20.7 16.8 11.9 10.0 15.5    2
1856 10.6 10.5 13.0 13.8 17.7 22.0 25.6 25.4 20.2 17.1 10.8  9.0 16.3    3
1857  4.7  8.7 12.4 14.3 16.1 22.3 27.5 24.7 21.9 16.7 13.3  9.0 16.0    2
1858  6.2  9.8 12.2 17.5 19.0 24.3 24.5 24.9 22.9 17.2 13.2  8.7 16.7    2
1859 10.1 11.9 12.7 16.9 15.7 18.9 26.6 24.2 22.8 15.6 14.1  8.2 16.5    2
1860  9.6  6.0 11.4 12.6 19.6 20.9 24.0 24.2 17.7 17.8 12.9  9.6 15.5    2
1861  7.8  8.6 12.9 14.0 17.1 20.9 23.5 27.2 22.2 17.6 12.1  9.1 16.1    2
1862  8.0  9.2 11.9 15.1 17.4 21.7 26.4 23.4 19.1 17.2 10.8  8.3 15.7    2
1863  7.8  8.9 10.9 14.8 16.1 22.0 25.7 24.2 20.5 15.7 11.5  7.6 15.5    2
1864  7.7  8.4 11.2 15.2 19.3 22.5 24.6 26.0 22.1 15.9 10.7  6.6 15.8    2
1865  9.1  9.3  9.3 14.3 17.8 22.0 24.6 23.7 23.5 16.2 11.7  7.0 15.7    2
1866  6.5  8.8  8.7 13.5 15.8 19.5 22.4 22.7 19.6 15.5 11.4  9.0 14.5   12
1867  7.3 10.4 11.0 14.5 16.3 20.3 22.5 22.9 19.1 14.1 10.3  5.4 14.5   12
1868  5.9  7.5 10.2 13.2 18.3 21.6 23.3 22.9 19.0 13.6  9.2 10.2 14.6   12
1869  7.4  8.8  7.4 13.7 15.7 19.6 24.0 22.5 20.9 15.1  9.2  6.0 14.2   12
1870  5.2  7.7  9.4 13.0 17.4 21.8 23.8 22.1 21.3 16.1  8.9  5.4 14.3   12
1871  3.2  8.8 10.3 15.3 16.5 17.4 23.3 23.4 19.6 16.0  9.4  3.6 13.9   12
1872  7.1  9.2 10.5 12.2 14.1 20.7 23.5 23.6 20.4 12.1  9.5  6.6 14.1   12
1873  7.2  6.0 10.0 10.9 16.4 19.0 24.1 23.5 19.8 14.0  9.9  6.1 13.9   11
1874  6.8  7.8  9.3 13.1 14.7 19.3 24.1 23.3 20.1 15.3 10.3  5.4 14.1   11
1875  8.1  6.3  9.5 13.0 18.7 19.4 21.3 24.5 21.6 15.8 10.8  4.7 14.5   12
1876  4.7  8.9 10.0 11.6 14.7 18.5 25.1 24.2 21.3 16.3 11.7  9.0 14.7   12
1877  8.6  8.6  9.4 13.2 15.9 21.2 23.4 24.3 18.9 14.5 11.0  6.5 14.6   12
1878  5.4  8.3 10.0 14.5 17.2 20.3 23.4 23.3 21.4 15.9  8.0  7.1 14.6   13
1879  8.5  8.0  9.8 10.4 13.2 20.1 22.3 24.1 18.3 15.6 10.9  4.6 13.8   13
1880  4.5  8.7 12.2 11.2 14.2 17.8 22.6 21.9 20.8 16.2  9.3  8.7 14.0   14
1881  6.7  9.7 12.3 12.9 15.5 18.8 24.0 23.9 19.1 13.7 12.1  6.6 14.6   14
1882  7.0  8.9 10.6 13.3 16.1 19.6 21.2 22.5 16.9 14.3 10.8  7.0 14.0   14
1883  7.4  8.4  7.0 11.3 14.8 17.7 21.2 23.0 19.1 14.0 10.9  4.8 13.3   14
1884  7.7  9.2 10.0 10.5 15.3 17.2 22.0 23.2 18.3 13.4  9.4  5.9 13.5   14
1885  4.1 10.8  9.1 10.0 15.4 18.8 21.7 21.9 18.4 12.4 10.4  6.8 13.3   14
1886  4.7  6.7 11.0 11.5 14.6 17.8 21.9 21.1 19.5 13.6  8.5  6.6 13.1   12
1887  5.7  5.4  9.6 10.0 13.7 20.9 22.5 22.7 18.1 10.7  8.8  5.1 12.8   12
1888  5.8  3.4  7.3  9.8 16.0 18.5 19.7 20.7 18.8 13.9  9.6  8.0 12.6   12
1889  5.2  6.1  7.4  9.8 14.8 17.5 21.4 21.4 19.7 12.8 10.4  4.1 12.6   12
1890  7.6  6.4  7.6 11.1 13.7 19.7 20.7 21.2 18.6 14.6  8.6  4.5 12.9   13
1891  3.4  7.2  8.2 11.7 13.5 18.6 21.8 20.5 19.5 15.2 10.0  7.7 13.1   13
1892  6.1  7.6  8.8 11.5 15.4 20.2 21.8 21.7 19.7 12.9 10.7  5.9 13.5   13
1893  4.6  8.4 11.8 14.0 16.5 19.6 21.7 23.5 18.9 14.8  8.7  6.4 14.1   13
1894  5.1  7.3  9.3 11.3 13.5 19.4 21.9 21.7 18.4 14.6 10.5  6.8 13.3   13
1895  4.3  7.7  8.3 12.4 14.8 18.4 22.0 22.3 21.8 15.4 13.3  8.4 14.1   13
1896  6.2  7.6 10.8 11.9 14.1 18.5 22.4 19.6 19.5 11.9  7.5  7.1 13.1   13
1897  5.7  9.6 12.1 13.1 15.0 20.7 23.1 22.3 18.5 14.5 12.2  8.0 14.6   13
1898  7.6  7.5  7.8 12.1 14.4 18.5 22.6 23.0 21.0 15.2 10.6  7.4 14.0   13
1899  7.3 10.4 10.2 13.9 16.3 18.8 22.5 23.8 20.4 18.1 11.4  7.2 15.0   14
1900  7.4 10.2  7.9 13.0 15.1 20.2 23.2 22.1 20.5 16.0 10.0  8.3 14.5   16
1901  9.6  6.6 11.3 15.1 16.8 23.1 24.9 24.8 22.4 16.6 12.3  9.4 16.1    5
1902  9.3 10.9 13.0 15.5 15.6 20.5 25.0 24.9 21.5 17.1 14.2 10.9 16.5    5
1903  9.6 10.5 12.5 13.8 16.9 20.2 23.7 24.6 21.3 18.6 13.4  9.2 16.2    5
1904  9.4 11.0 11.0 14.6 19.1 22.4 25.7 26.1 21.5 18.1 13.1 11.6 17.0    5
1905  9.1  8.9 13.7 15.8 16.5 21.7 25.3 25.0 21.5 16.4 12.6  9.7 16.4    5
1906 10.3  9.3 11.3 12.8 16.9 22.1 24.3 26.1 22.2 18.3 13.5  9.8 16.4    5
1907  9.2  9.0 11.7 13.9 16.4 21.6 23.4 25.5 22.3 17.2 14.0 12.7 16.4    5
1908 10.6 10.2 10.6 12.8 19.1 20.6 24.1 24.8 22.8 18.8 14.9 11.4 16.7    5
1909  8.7  8.1 11.8 14.9 17.5 19.7 22.6 24.6 20.6 18.9 13.3 11.8 16.0    5
1910 10.0 11.3 11.1 13.7 15.8 21.3 23.4 24.0 20.6 17.9 14.1 11.4 16.2    5
1911  7.7 10.1 11.5 13.1 16.8 20.8 25.4 26.4 24.1 18.2 13.9 12.4 16.7    5
1912 10.5 12.4 13.8 13.6 18.5 21.0 23.4 23.6 19.8 17.2 12.1  9.9 16.3    5
1913 10.9 10.2 12.4 13.7 17.8 21.9 24.0 24.8 21.5 18.3 15.1 10.2 16.7    5
1914  7.6 11.0 13.1 15.4 17.3 19.2 23.8 24.1 22.5 17.5 12.2 10.4 16.2    5
1915  9.3  9.5 11.5 12.9 17.8 22.5 25.2 25.6 21.4 16.4 13.2 11.3 16.4    4
1916  9.7 10.3 11.1 14.1 18.1 20.6 23.8 25.2 20.6 18.0 13.4 10.9 16.3    4
1917  8.3  9.4 10.6 12.1 17.2 21.2 24.6 24.0 22.8 16.2 12.3  8.5 15.6    4
1918  8.7  8.9 10.2 12.5 17.2 20.6 23.9 24.7 22.2 14.6 12.6 10.8 15.6    4
1919  8.1 11.3 11.5 13.2 17.2 21.8 22.4 24.7 21.8 14.8 11.2  9.1 15.6    4
1920 10.2 10.8 12.1 15.4 19.2 21.8 24.5 24.1 21.8 18.2 13.1 10.3 16.8    3
1921  8.9  9.8 10.9 12.8 16.9 21.0 24.6 24.2 23.3 19.5 12.3  9.8 16.2    4
1922  9.1 10.9 11.6 14.7 18.7 20.7 23.8 24.7 19.9 17.7 12.6  9.1 16.1    4
1923  7.8 10.7 12.0 13.3 17.3 19.2 24.0 25.5 20.0 18.2 12.1  9.0 15.8    3
1924  9.5  7.4 11.3 14.1 19.1 21.5 24.5 24.0 21.9 17.8 12.9 10.1 16.2    4
1925  8.7  9.6  9.0 13.8 16.5 21.2 22.7 24.2 20.5 17.3 11.7 10.2 15.4    4
1926  8.5 11.0 11.2 12.8 14.5 18.6 22.1 23.6 22.2 16.9 11.3  6.5 14.9   16
1927  7.3  7.7 10.8 13.6 16.8 19.7 21.6 22.2 19.2 16.6 10.4  8.8 14.6   16
1928  7.2  9.5 10.7 12.2 14.6 20.3 24.5 23.7 20.8 15.9 10.8  7.1 14.8   16
1929  5.8  8.4 10.5 12.8 15.2 20.6 23.2 22.3 20.5 15.5 11.1  9.7 14.6   15
1930  7.9  5.7 10.8 10.9 15.7 19.2 21.3 23.0 20.1 16.9 12.2  8.7 14.4   15
1931  7.3  7.3 11.5 12.5 15.5 21.2 21.9 21.7 17.3 15.6 11.5  6.5 14.2   14
1932  7.3  5.6 10.5 11.0 15.1 18.2 20.7 23.3 20.3 14.9 11.7  9.2 14.0   14
1933  5.8  7.4 10.3 13.7 17.0 17.7 22.9 24.7 20.0 15.3  8.4  4.7 14.0   14
1934  6.0  6.6  8.5 11.6 16.2 20.5 23.7 21.3 20.7 16.0  8.1  9.9 14.1   15
1935  6.7  9.0 10.9 13.6 14.5 21.4 25.1 24.0 22.8 16.3 12.3 10.6 15.6    3
1936 10.8 10.9 11.5 13.9 15.0 19.1 23.3 24.6 21.6 14.5 13.8  9.8 15.7    3
1937 11.2 14.0 11.9 16.5 17.5 22.1 25.0 25.7 21.6 16.9 12.9  7.8 16.9    4
1938  8.2  7.9 10.9 13.7 16.1 22.5 24.1 24.1 21.0 18.2 14.5  9.9 15.9    4
1939 11.8 10.6 11.4 13.9 15.7 19.3 22.5 22.9 21.5 16.7 13.4 10.4 15.8    5
1940  7.0 10.3 12.4 13.2 15.5 18.6 21.1 22.5 19.6 14.0 10.7  6.3 14.3   14
1941  6.4  8.3 10.3 10.8 12.4 18.3 21.4 20.7 19.2 15.4  9.2  6.4 13.2   17
1942  6.4  6.1 10.7 12.0 15.2 19.3 21.3 21.2 19.1 16.3 10.1  8.0 13.8   17
1943  8.1  7.6  9.5 13.6 16.6 20.6 21.5 22.8 18.9 14.6  8.8  7.1 14.1   20
1944  7.2  6.2  9.8 13.6 16.0 19.0 21.4 22.6 19.4 12.8 10.7  7.0 13.8   19
1945  5.5  9.4 10.7 15.2 16.5 20.7 22.3 21.1 20.7 16.5 11.9  9.2 15.0   17
1946  5.9  8.4  9.2 11.9 13.4 18.1 22.1 21.6 19.8 16.2 10.2  6.4 13.6   20
1947  6.1  7.6 11.1 13.4 14.8 20.3 22.8 22.4 19.2 15.8 13.4  7.0 14.5   20
1948  8.6  8.9 12.2 12.1 14.6 19.4 20.9 22.1 20.0 15.7 13.0  9.2 14.7   19
1949  8.3  9.4  9.5 14.0 14.2 20.2 23.5 23.6 21.0 16.6 11.9  8.7 15.1   13
1950  7.7  9.4 10.2 11.5 15.5 19.9 23.3 22.6 19.9 16.2 13.1  7.6 14.7   13
1951  8.2  8.7 10.6 12.0 13.8 19.8 22.8 21.6 20.6 14.5 11.7  9.4 14.5   22
1952  6.5  7.9 12.7 13.0 16.5 21.7 23.5 23.2 18.6 16.7 11.7  8.6 15.1   21
1953  6.2  7.1 10.1 13.0 18.2 18.6 22.6 23.9 20.8 15.6 12.4 11.0 15.0   21
1954  6.4  7.7 10.5 11.9 15.9 19.5 22.0 21.6 20.6 17.2 13.3  9.4 14.7   22
1955 10.9  9.3  9.8 14.4 17.8 20.3 23.4 23.4 20.4 15.9 11.5 10.5 15.6   22
1956  8.8  4.5 10.4 12.1 16.2 18.8 22.0 22.4 20.0 15.6  9.3  7.0 13.9   22
1957  6.3 10.4 12.9 12.2 15.2 18.8 22.7 23.3 20.8 15.5 10.3  7.4 14.7   23
1958  8.0 10.2 10.9 11.9 17.5 19.5 22.4 22.9 22.1 16.1 11.4 10.1 15.3   25
1959  9.1  8.8 11.6 13.4 15.7 20.3 24.0 23.0 20.3 15.9 11.3  9.6 15.2   25
1960  8.3  9.6 11.8 13.5 17.3 21.3 22.5 22.4 19.9 14.2 11.9  7.7 15.0   25
1961  7.8 11.4 12.5 15.0 18.0 20.8 23.4 23.5 22.0 16.5 12.2 10.7 16.1   25
1962  9.5  8.8 10.8 13.5 16.5 20.0 23.3 24.5 22.1 17.8 10.4  7.7 15.4   25
1963  8.4  8.1 11.2 13.2 16.1 19.9 23.6 22.3 19.7 17.3 13.3  8.8 15.2   25
1964  8.0 10.1 11.2 13.1 19.0 20.9 24.1 23.7 22.8 15.8 11.8  8.0 15.7   25
1965  8.0  7.8 11.6 13.5 17.9 21.4 22.6 23.1 18.8 17.0 12.0  9.9 15.3   25
1966 10.3 11.5 10.7 14.1 17.1 20.2 22.2 23.3 21.9 16.0 10.0  9.0 15.5   25
1967  7.9  9.5 12.6 12.7 16.0 19.2 24.1 23.4 20.4 18.1 12.7  7.8 15.4   25
1968  8.7  9.8 10.8 13.4 15.9 20.3 23.4 22.8 20.7 18.5 12.8 10.0 15.6   23
1969  9.6  8.4 11.2 13.1 16.3 18.8 23.4 23.1 19.0 17.0 11.6  8.3 15.0   23
1970 10.1  9.7  9.8 13.0 16.3 20.6 23.5 23.1 22.1 15.9 13.9  7.2 15.4   23
1971  8.1  9.6  9.0 13.3 15.3 18.9 23.4 23.5 21.2 18.1 10.3  9.2 15.0   23
1972  7.9  9.8 10.9 12.7 15.1 18.8 22.6 22.0 18.3 15.5 12.9  9.1 14.6   23
1973  8.5  8.7  9.8 12.6 17.2 20.4 23.1 24.2 21.0 16.2 12.4  8.5 15.2   23
1974 10.0  9.3 10.8 11.8 16.7 20.1 23.4 23.3 20.2 13.7 12.1  9.6 15.1   23
1975  9.7 10.3 10.0 12.7 15.1 19.6 24.3 24.0 19.7 16.7 11.6  8.2 15.2   23
1976  7.8  9.7 11.1 11.9 16.9 22.0 23.6 23.3 19.5 15.0 10.2 10.0 15.1   23
1977  9.0 11.1 12.1 13.6 15.2 18.4 21.1 21.1 20.8 17.2 11.9 11.0 15.2   23
1978  8.4 10.8 11.8 12.3 15.2 18.5 22.6 23.4 22.1 16.3 11.9 11.1 15.4   23
1979  9.8 10.3 11.0 12.4 16.5 21.0 23.6 23.2 20.5 16.1 11.4  9.7 15.5   23
1980  8.4 10.4 11.4 12.5 15.3 19.7 21.8 24.0 22.4 16.0 11.1  7.9 15.1   23
1981  7.7  7.9 12.8 12.5 15.2 19.7 20.8 22.7 20.8 16.3 13.1 10.1 15.0   21
1982 10.5  9.9 11.0 13.4 16.5 21.4 24.2 23.3 20.9 16.0 12.1  9.2 15.7   15
1983  8.8  8.1 11.9 13.1 15.5 20.9 24.1 22.6 21.3 17.6 14.2  9.7 15.7   15
1984  8.9  8.8  9.5 14.1 13.3 19.2 23.7 22.3 20.1 15.9 12.9  9.3 14.8   15
1985  7.0 10.9 10.2 13.8 14.8 20.3 24.0 23.0 22.5 18.0 11.4  9.9 15.5   16
1986  8.6  9.0 10.6 10.6 17.7 20.2 23.4 23.2 21.2 17.2 12.1  9.0 15.2   13
1987  7.8  9.3 11.3 14.3 15.9 20.0 23.1 24.3 23.1 16.9 12.0 10.7 15.7   15
1988 10.8  9.8 12.0 13.8 16.9 19.6 23.5 24.4 21.4 18.3 13.3  9.1 16.1   15
1989  8.7 10.7 12.8 12.8 18.0 21.3 24.3 25.3 20.8 18.1 14.1 12.5 16.6   14
1990  9.7 13.3 13.2 13.4 18.6 21.8 24.9 25.4 23.5 18.3 12.8  8.3 16.9   13
1991  9.8  9.0 12.7 13.0 16.6 21.0 24.9 25.3 22.9 15.5 12.7 10.2 16.1   19
1992  8.4 10.2 10.4 12.8 19.4 16.8 23.7 22.8 21.7 18.2 14.4  9.3 15.7   23
1993  7.9  8.2 10.7 12.3 17.4 19.7 21.6 22.5 18.1 13.7 10.4  9.9 14.4   23
1994  9.2  9.8 12.7 12.0 16.9 20.2 23.7 26.0 20.4 17.9 14.7 11.3 16.2   24
1995 10.3 11.9 14.0 14.6 18.5 21.0 24.7 24.5 19.9 19.3 14.9 12.1 17.1    8
1996 11.5  9.7 11.0 13.8 16.1 20.8 22.7 22.0 18.7 16.0 11.8  9.6 15.3   23
1997  8.7 11.4 13.4 14.9 17.2 19.0 21.3 23.3 21.1 18.1 12.7  9.8 15.9   23
1998  9.7 11.0 12.7 12.2 16.0 20.2 22.7 23.7 20.8 15.9 11.6  8.3 15.4   23
1999  8.4  8.3 11.3 13.6 17.4 19.9 23.1 23.1 20.2 16.4 10.0  9.0 15.1   23
2000  6.6 11.2 11.5 12.3 17.6 20.9 22.2 22.5 20.3 15.4 11.0 10.5 15.2   23
2001  9.7  9.5 13.5 13.2 16.4 21.0 22.2 23.4 19.7 17.9 10.1  7.0 15.3   23
2002  9.5 10.3 12.2 13.4 15.5 20.3 21.9 21.2 19.7 16.6 12.6 11.1 15.4   23
2003  8.3  8.1 12.4 13.6 16.9 22.5 23.3 25.1 20.8 15.4 12.4  9.1 15.7   23
2004  9.5  9.2  9.9 12.3 15.3 21.8 22.7 23.1 21.0 16.9 10.7  8.5 15.1   23
2005  7.1  6.3 11.0 13.4 17.3 22.0 23.4 22.9 19.7 16.9 10.7  7.8 14.9   23
2006  6.8  7.8 12.0 14.4 17.8 21.1 24.5 22.5 21.1 18.1 13.7  8.7 15.7   23
2007  8.6 10.8 10.7 13.7 16.6 19.7 22.2 22.1 19.8 15.8 10.6  8.4 14.9   23
2008  9.4 10.7 10.8 13.4 15.8 19.6 22.1 22.5 19.6 15.5  9.8  8.0 14.8   24
2009  7.6  8.8 11.5 12.3 17.3 21.3 23.2 23.9 20.5 17.8 13.2-99.0 16.1   24
AA    8.0  9.0 10.9 12.9 16.2 20.0 22.9 23.1 20.4 16.1 11.5  8.6 15.0
Ad    8.0  9.1 11.0 13.2 16.4 20.3 23.3 23.5 20.6 16.2 11.7  8.7 15.2
 
For Country Code 643
 
From input file /gnuit/GIStemp/STEP0/to_next_step/v2.mean_comb

I find it hard to get excited about 2004 to 2008 being, well, right around the AA Ad values. Heck, 2008 Nov was rather cold!
v3

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
--------------------------------------------------------------------------
1835  9.5 10.8 12.2 14.3 17.6 20.3 26.2 24.9 21.5 16.7 11.5  7.8 16.1    1
1836  8.1  9.0 12.9 13.0 15.2 22.5 26.7 25.5 20.6 18.2 12.2  8.9 16.1    1
1837  7.7 10.7  8.8 12.4 16.8 24.1 26.6 26.6 21.6 17.2 12.0 10.4 16.2    1
1838  8.7 10.3 12.6 13.7 18.7 23.5 26.1 25.8 21.4 17.2 15.0  9.1 16.8    1
1839  7.6  9.7 12.5 14.6 18.5 23.6 25.7 25.3 21.2 17.2 13.1 11.3 16.7    1
1840  7.6  7.6  7.2 12.1 17.5 23.7 24.6 25.9 20.5 15.9 11.4  6.4 15.0    2
1841  6.1  8.7 12.0 13.5 18.3 20.8 23.8 24.4 21.5 15.7 11.4  8.0 15.3    2
1842  4.2  8.3 12.2 11.6 18.5 25.0 26.5 24.5 19.8 13.9 10.1  8.1 15.2    2
1843  8.0  9.1 10.1 14.3 17.1-99.0-99.0-99.0-99.0-99.0-99.0-99.0 11.7    2
1849 10.8 11.0 12.4 13.1 17.4 20.4 23.4 22.8 18.3 16.0 12.3 10.2 15.7    1
1850 10.1 14.1 14.1 17.4 17.5 22.5 23.5 23.6 22.0 17.4 14.1 11.7 17.3    2
1851  9.9  9.8 11.8 14.9 16.5 21.7 22.2 24.5 21.1 17.7 11.5 10.2 16.0    3
1852 11.5  9.6 13.5 16.2 17.2 19.5 23.0 22.8 20.6 17.6 15.2 12.8 16.6    3
1853 11.4  7.2  9.6 15.0 14.8 19.2 21.8 22.5 19.9 16.0 12.8  7.6 14.8    4
1854  8.9  9.8 12.8 16.0 16.7 20.0 23.6 24.5 23.2 17.1 11.2  9.0 16.1    3
1855  8.1 11.4 12.1 14.3 15.4 18.8 22.2 24.3 20.7 16.9 11.9 10.1 15.5    2
1856 10.6 10.5 13.1 13.8 17.7 21.6 25.6 25.4 20.2 17.1 10.9  9.0 16.3    3
1857  6.7  8.8 12.4 14.4 16.1 22.4 27.5 24.7 21.9 16.7 13.3  9.1 16.1    2
1858  6.2  9.8 12.2 17.5 19.0 24.3 24.5 25.0 23.0 17.2 13.2  8.8 16.7    2
1859 10.1 11.9 12.7 16.9 15.8 18.9 26.6 24.2 22.9 15.6 14.1  8.2 16.5    2
1860  9.6  6.0 11.4 12.6 19.6 20.9 24.0 24.2 17.8 17.9 12.9  9.6 15.5    2
1861  7.8  8.6 12.9 14.1 17.1 20.9 23.5 27.2 22.2 17.6 12.1  9.1 16.1    2
1862  8.1  9.2 11.9 15.1 17.5 21.7 26.5 23.5 19.1 17.2 10.9  8.3 15.7    2
1863  7.8  8.9 10.9 14.9 16.1 22.0 25.7 24.2 20.5 15.8 11.6  7.6 15.5    2
1864  7.8  8.4 11.2 15.2 19.3 22.5 24.6 26.0 22.1 15.9 10.7  6.7 15.9    2
1865  9.1  9.3  9.3 14.4 17.8 22.0 24.6 23.7 23.5 16.2 11.8  7.1 15.7    2
1866  6.5  8.8  8.7 13.5 15.8 19.5 23.2 23.4 19.7 15.5 11.4  9.0 14.6   12
1867  7.4 10.4 11.1 14.8 16.8 20.3 22.5 23.0 19.1 14.1 10.3  5.3 14.6   12
1868  6.0  7.6 10.3 13.2 18.3 21.6 23.4 22.9 19.1 13.6  9.3 10.2 14.6   12
1869  7.4  8.8  7.5 13.7 15.8 19.7 24.0 22.6 21.0 15.1  9.2  6.0 14.2   12
1870  5.2  7.8  9.4 13.0 17.5 21.9 23.9 22.2 21.4 16.1  8.9  5.4 14.4   12
1871  3.3  8.8 10.4 15.4 16.5 17.5 23.4 23.4 19.6 16.0  9.5  3.7 14.0   12
1872  7.2  9.3 10.5 11.7 14.1 20.8 23.5 23.6 19.9 12.9  9.6  6.7 14.2   12
1873  7.2  6.1 10.0 10.9 16.4 19.0 24.1 23.5 19.9 14.0 10.0  6.1 13.9   11
1874  6.9  7.9  9.4 13.1 14.7 18.8 22.9 22.3 19.5 15.3 11.8  5.4 14.0   11
1875  8.1  6.3  9.5 13.1 18.8 19.5 21.4 24.5 21.7 15.8 10.9  4.7 14.5   12
1876  4.8  8.9 10.0 11.6 14.7 18.5 25.2 24.3 21.3 16.3 11.7  9.1 14.7   12
1877  8.6  8.6  9.4 13.3 15.9 21.3 23.5 24.4 18.6 14.5 11.0  6.6 14.6   12
1878  5.4  8.3 10.0 14.6 17.2 20.3 23.5 23.3 21.5 15.9  8.1  7.2 14.6   13
1879  8.5  8.0  9.9 10.4 13.3 20.2 22.4 24.1 18.3 15.6 10.9  4.6 13.8   13
1880  4.6  8.8 11.4 11.2 14.2 17.9 22.7 21.9 20.8 16.2  9.3  8.7 14.0   14
1881  6.7  9.8 12.3 13.0 15.5 18.8 24.1 23.9 19.2 13.8 12.1  6.7 14.7   14
1882  7.0  8.9 10.7 13.3 16.1 19.6 21.3 22.5 16.9 14.3 10.8  7.1 14.0   14
1883  7.4  8.5  7.1 11.3 14.9 17.8 21.2 23.0 19.1 14.0 10.9  4.9 13.3   14
1884  7.7  9.3 10.1 10.5 15.4 17.2 22.0 23.3 18.3 13.4  9.4  5.9 13.5   14
1885  4.2 10.8  9.1 10.1 15.4 18.9 21.8 22.0 18.5 12.4 10.5  6.8 13.4   14
1886  4.7  6.8 11.0 11.6 14.7 17.8 21.9 21.1 19.5 13.6  8.5  6.7 13.2   12
1887  5.7  5.4  9.6 10.1 13.8 21.0 22.5 22.8 18.1 10.7  8.8  5.1 12.8   12
1888  5.8  3.5  7.3  9.9 16.0 18.6 19.7 20.7 18.8 14.0  9.7  8.0 12.7   12
1889  5.2  6.2  7.4  9.8 14.9 17.5 21.4 21.4 19.8 12.8 10.4  4.2 12.6   12
1890  7.6  6.4  7.7 11.1 13.8 19.7 20.8 21.3 18.6 14.6  8.7  4.6 12.9   13
1891  3.4  7.2  8.2 11.7 13.5 18.6 21.8 20.5 19.5 15.2 10.0  7.8 13.1   13
1892  6.1  7.7  8.8 11.5 15.5 20.3 21.8 21.7 19.8 13.0 10.7  6.0 13.6   13
1893  4.7  8.4 11.9 14.1 16.6 19.7 21.7 23.5 18.9 14.9  8.8  6.4 14.1   13
1894  5.2  7.4  9.4 11.4 13.6 19.5 21.9 21.8 17.9 14.6 10.6  6.9 13.3   13
1895  4.4  7.7  8.3 12.4 14.9 18.5 22.0 22.4 21.9 15.4 13.3  8.4 14.1   13
1896  6.3  7.6 10.9 12.0 14.1 18.6 22.4 19.6 19.5 11.9  7.5  7.2 13.1   13
1897  5.7  9.6 12.2 13.1 15.1 20.7 23.2 22.3 18.5 14.5 12.2  8.1 14.6   13
1898  7.7  7.6  7.8 12.2 14.4 18.5 22.7 23.5 21.0 15.2 10.6  7.4 14.1   13
1899  7.3 10.4 10.2 14.0 16.4 18.8 22.5 23.8 20.5 18.2 11.5  7.2 15.1   14
1900  7.5 10.2  7.9 13.0 15.2 20.2 23.2 22.1 20.6 16.0 10.1  8.4 14.5   16
1901  9.5  6.3 11.2 15.0 16.7 23.1 24.8 24.8 22.3 16.5 12.0  9.1 15.9    5
1902  9.1 10.8 12.8 15.3 15.5 20.4 24.9 24.7 21.4 16.9 13.9 10.7 16.4    5
1903  9.4 10.4 12.4 13.8 16.7 20.2 23.7 24.7 21.2 18.4 13.2  8.9 16.1    5
1904  9.4 10.9 10.8 14.6 19.0 22.3 25.6 26.0 21.3 18.0 12.9 11.4 16.8    5
1905  8.9  8.7 13.6 15.7 16.4 21.6 25.2 24.9 21.3 16.3 12.4  9.5 16.2    5
1906 10.2  9.2 11.2 12.7 16.9 22.1 24.3 26.1 22.0 18.2 13.3  9.6 16.3    5
1907  9.1  8.9 11.7 13.9 16.3 21.7 23.4 25.4 22.2 17.0 13.8 12.5 16.3    5
1908 10.5 10.1 10.5 12.8 19.0 20.5 24.1 24.9 22.7 18.6 14.8 11.2 16.7    5
1909  8.6  8.0 11.8 15.0 17.5 19.7 22.7 24.7 20.6 18.9 13.2 11.7 16.0    5
1910  9.7 11.4 11.0 13.7 15.7 21.3 23.4 24.0 20.5 17.8 14.0 11.2 16.1    5
1911  7.6 10.0 11.3 13.0 16.8 20.7 24.3 26.3 24.0 17.9 13.7 12.2 16.5    5
1912 10.2 12.3 13.7 13.5 18.4 21.0 23.3 23.4 19.8 17.0 12.0  9.7 16.2    5
1913 10.8 10.1 12.3 13.7 17.7 21.9 24.0 24.6 21.2 17.9 14.9  9.9 16.6    5
1914  7.1 10.7 12.8 15.0 16.4 19.0 22.9 23.2 21.6 16.9 11.9 10.1 15.6    5
1915  9.1  9.2 11.4 12.8 17.7 20.9 25.1 25.7 21.2 16.3 12.8 11.0 16.1    4
1916  9.4 10.1 10.8 14.1 18.0 20.6 23.6 25.1 20.5 17.9 13.1 10.6 16.1    4
1917  8.1  9.2 10.4 12.0 17.2 21.1 24.6 24.0 22.6 16.0 12.1  8.5 15.5    4
1918  8.6  8.9 10.2 12.5 17.2 20.7 23.9 24.6 21.9 14.3 12.3 10.5 15.5    4
1919  7.9 11.2 11.5 13.1 17.2 21.7 22.3 24.7 21.0 14.5 11.0  8.9 15.4    4
1920 10.6 10.8 12.1 15.5 18.9 21.7 24.2 24.0 21.7 18.3 13.2 10.3 16.8    3
1921  8.9  9.7 11.0 12.9 16.8 21.1 24.5 24.2 23.0 19.2 12.1  9.7 16.1    4
1922  8.9 11.1 11.5 14.7 18.6 19.9 24.0 24.7 19.9 17.8 12.6  9.1 16.1    4
1923  7.9 10.4 12.0 13.3 17.6 19.7 23.8 25.7 19.8 17.8 11.6  8.6 15.7    3
1924  9.4  7.2 11.3 14.2 19.1 21.6 24.6 24.0 21.8 17.8 12.6 10.0 16.1    4
1925  8.6  9.5  9.1 13.9 16.6 21.1 22.7 24.1 20.5 17.2 11.5 10.2 15.4    4
1926  8.4 11.1 11.2 12.8 14.4 18.5 22.1 23.6 22.1 16.8 11.1  6.4 14.9   16
1927  7.2  7.6 10.7 13.6 16.8 19.6 21.5 22.1 19.1 16.8 10.2  8.6 14.5   16
1928  7.0  9.5 10.6 12.1 14.6 20.3 24.6 23.6 20.6 15.7 10.7  6.9 14.7   16
1929  5.7  8.4 10.5 13.1 15.2 20.6 23.1 22.3 20.3 15.3 11.0  9.7 14.6   15
1930  7.8  5.6 10.8 10.4 15.3 19.1 21.1 23.0 20.0 17.4 12.0  8.7 14.3   15
1931  7.4  7.4 11.6 12.5 15.6 21.2 21.9 21.6 17.4 15.6 11.3  6.2 14.1   14
1932  7.2  5.5 10.5 10.9 15.0 18.1 20.5 23.1 20.1 14.7 11.6  9.1 13.9   14
1933  5.6  7.3 10.2 13.7 17.0 17.6 22.9 24.7 19.8 15.0  8.2  4.4 13.9   14
1934  5.8  6.5  8.0 11.2 16.2 20.4 23.6 21.2 20.7 15.9  7.9  9.8 13.9   15
1935  6.6  8.9 11.1 13.9 14.5 21.5 25.3 23.9 22.8 16.0 12.0 10.5 15.6    3
1936 10.8 10.8 11.4 13.8 15.1 18.9 23.4 24.6 21.6 14.6 13.8  9.8 15.7    3
1937 11.4 14.6 11.9 16.5 17.8 22.1 25.1 25.7 21.6 16.9 12.9  7.8 17.0    4
1938  8.3  8.0 11.2 13.6 15.9 22.5 24.1 24.1 20.6 17.9 14.1  9.5 15.8    4
1939 11.6 10.3 11.5 13.9 15.6 19.1 22.3 22.6 21.2 16.1 13.0 10.2 15.6    5
1940  6.9 10.2 12.3 13.4 15.4 18.5 21.0 22.4 19.5 13.8 10.5  6.2 14.2   14
1941  6.2  8.1 10.1 10.7 12.3 18.3 21.4 20.6 19.1 14.6  9.1  6.2 13.1   17
1942  6.3  6.1 10.7 11.9 15.1 19.3 21.2 21.1 18.9 16.1  9.9  7.9 13.7   17
1943  8.0  7.5  9.5 13.6 16.6 20.6 21.4 22.8 18.7 14.4  8.7  6.9 14.1   20
1944  7.0  6.1  9.7 13.8 16.3 19.0 21.4 22.5 19.2 12.7 10.9  6.9 13.8   19
1945  5.4  9.3 10.6 15.2 16.3 19.3 22.1 20.9 20.6 16.4 11.7  9.0 14.7   17
1946  5.7  8.3  9.1 11.7 13.2 18.0 22.1 21.5 19.7 16.0 10.0  6.2 13.5   20
1947  6.0  7.4 11.0 13.4 14.7 20.2 22.6 22.3 18.5 15.7 13.0  6.9 14.3   20
1948  8.5  8.9 12.2 11.9 14.5 19.4 20.8 22.0 19.9 15.6 12.7  9.1 14.6   19
1949  7.9  9.2  9.4 13.8 13.9 20.0 23.3 23.4 20.8 16.4 11.6  8.4 14.8   13
1950  7.3  9.0 10.0 11.2 15.3 19.6 23.0 22.3 19.7 15.9 12.9  7.4 14.5   13
1951  8.0  8.4 10.4 11.8 13.4 19.6 22.5 21.3 20.3 14.2 11.3  9.1 14.2   22
1952  6.2  7.7 12.4 12.7 16.2 21.3 22.3 21.9 18.0 16.3 11.3  8.3 14.5   21
1953  6.2  7.0  9.8 12.7 17.8 18.2 22.3 23.5 20.3 15.1 12.1 10.7 14.7   21
1954  6.1  7.4 10.1 11.5 15.5 19.1 21.5 21.2 20.2 16.9 13.0  9.1 14.3   22
1955 10.6  8.9  9.5 14.1 17.4 19.9 23.0 23.0 20.0 15.5 11.2 10.2 15.3   22
1956  8.5  4.5 10.1 11.7 15.9 18.4 21.6 21.9 19.4 15.2  9.0  7.3 13.6   22
1957  6.0 10.1 12.7 11.9 14.8 18.4 22.3 22.9 20.5 15.0 10.1  7.1 14.3   23
1958  7.7  9.9 10.5 11.6 17.2 19.0 21.9 22.6 21.8 15.8 11.1  9.9 14.9   25
1959  9.0  8.6 11.4 13.2 15.4 20.0 23.6 22.7 19.9 15.6 11.0  9.3 15.0   25
1960  8.1  9.4 11.6 13.3 17.0 21.0 22.2 22.1 19.5 13.9 11.6  7.5 14.8   25
1961  7.6 11.1 12.3 14.4 17.7 20.4 23.0 23.2 21.5 15.9 11.5 10.2 15.7   25
1962  9.3  8.7 10.3 13.0 16.1 19.6 22.7 24.0 21.6 17.2  9.6  7.5 15.0   25
1963  8.1  7.6 10.8 12.6 15.7 19.3 22.9 21.7 19.1 16.9 12.6  8.2 14.6   25
1964  7.5  9.5 10.7 12.6 18.7 20.2 23.5 23.1 22.4 15.1 11.4  7.8 15.2   25
1965  7.8  7.4 11.1 13.0 17.5 21.0 21.9 22.6 18.1 16.4 11.2  9.6 14.8   25
1966 10.0 11.1 10.3 13.6 16.7 19.4 21.8 22.8 21.4 15.2  9.3  8.7 15.0   25
1967  7.7  9.2 12.2 12.1 15.2 18.7 23.7 22.8 19.8 17.4 11.9  7.6 14.9   25
1968  8.4  9.5 10.2 12.8 15.5 19.7 22.7 22.1 20.0 18.1 12.2  9.4 15.1   23
1969  9.0  7.9 10.6 12.6 15.6 18.3 22.9 22.5 18.2 16.5 10.8  8.1 14.4   23
1970  9.6  9.1  9.2 12.4 15.7 19.8 22.9 22.4 21.6 15.3 13.4  7.0 14.9   23
1971  7.6  9.0  8.4 12.7 14.7 18.1 22.7 22.8 20.5 17.4  9.4  8.6 14.3   23
1972  7.5  9.2 10.4 12.1 14.4 18.2 22.0 21.3 17.6 14.9 12.3  8.6 14.0   23
1973  7.9  8.2  9.2 12.0 16.5 19.6 22.4 23.7 20.3 15.7 11.9  8.0 14.6   23
1974  9.4  8.9 10.3 11.2 16.0 19.5 22.6 22.6 19.5 12.8 11.4  9.4 14.5   23
1975  9.2  9.7  9.4 12.0 14.4 19.0 23.5 23.2 19.1 16.1 10.9  7.7 14.5   23
1976  7.3  9.1 10.5 11.3 16.3 21.2 23.0 22.6 18.8 14.4  9.7  9.4 14.5   23
1977  8.4 10.5 11.6 12.9 14.5 17.6 20.4 20.5 20.1 16.5 11.5 10.5 14.6   23
1978  7.9 10.2 11.2 11.6 14.6 17.8 21.9 22.7 21.4 15.8 11.4 10.6 14.7   23
1979  9.3  9.8 10.3 11.7 15.9 20.3 23.0 22.6 19.9 15.5 10.9  9.4 14.9   23
1980  7.9 10.0 10.8 11.9 14.7 19.0 21.1 23.5 21.7 15.5 10.5  7.5 14.5   23
1981  7.3  7.5 12.4 12.1 14.8 19.8 21.0 22.2 20.3 16.2 12.9 10.1 14.7   25
1982  9.9  9.4 10.4 12.8 16.0 20.6 23.1 22.2 20.2 15.1 11.4  8.6 15.0   24
1983  8.2  7.5 11.4 12.4 14.6 20.2 23.0 21.7 21.1 17.0 13.8  9.2 15.0   24
1984  8.2  7.9  8.7 13.9 12.3 18.4 22.8 21.5 19.3 15.2 12.1  8.8 14.1   24
1985  6.2 10.5  9.5 13.2 14.2 19.6 23.3 22.2 22.0 17.3 10.6  9.4 14.8   24
1986  8.1  8.3 10.2  9.8 17.0 19.5 22.5 22.1 20.5 16.7 11.4  8.6 14.5   22
1987  7.2  8.8 11.0 13.9 15.4 19.3 22.1 23.4 22.4 15.7 11.2 10.3 15.0   22
1988 10.2  9.3 11.5 13.3 16.1 18.6 22.3 23.5 20.8 17.0 12.7  8.5 15.3   22
1989  8.1  9.8 12.4 11.9 17.5 20.5 24.1 24.2 19.9 17.5 13.5 12.1 16.0   21
1990  9.0 12.7 12.7 12.7 18.1 20.9 24.3 24.5 22.6 17.2 11.8  7.9 16.2   20
1991  7.9  8.0 11.9 12.1 14.8 20.6 24.1 24.9 22.1 14.8 11.6  9.0 15.2   22
1992  6.6  8.7 10.7 13.0 17.9 17.0 23.0 23.1 20.3 14.8 13.0  9.6 14.8   23
1993  8.0  8.4 10.6 12.3 16.2 19.8 21.9 22.7 18.2 13.7 10.4  9.5 14.3   23
1994  8.5  9.5 12.6 12.1 16.9 20.4 24.0 24.3 18.7 16.4 13.1  9.7 15.5   24
1995  8.8 10.6 11.0 13.3 17.7 20.1 23.7 23.4 18.4 18.1 13.4 10.5 15.7   14
1996 10.5  8.0 11.1 13.8 15.8 20.9 22.8 22.1 18.8 15.7 11.7  9.4 15.1   23
1997  8.6 11.5 13.3 14.9 17.0 19.0 21.3 23.4 21.1 18.0 12.6  9.8 15.9   23
1998  9.6 10.9 12.6 12.1 15.9 20.3 22.7 23.6 20.9 15.7 11.4  8.1 15.3   23
1999  8.4  8.2 11.2 13.6 17.4 20.0 23.2 23.1 20.2 16.3  9.9  8.9 15.0   23
2000  6.4 11.1 11.4 12.2 17.6 21.0 22.2 22.5 20.2 15.3 10.9 10.4 15.1   23
2001  9.6  9.4 13.4 13.1 16.4 20.9 22.0 23.4 19.6 17.8 10.0  6.8 15.2   23
2002  9.4 10.2 12.1 13.2 15.6 20.3 22.1 21.7 19.8 16.7 12.6 11.1 15.4   24
2003  8.0  8.4 12.6 13.8 17.1 22.9 23.5 25.4 21.0 15.6 12.5  9.2 15.8   24
2004  9.6  9.1 10.1 12.4 15.4 22.0 22.9 23.3 21.2 17.0 10.9  8.6 15.2   24
2005  7.2  6.4 11.1 13.6 17.5 22.2 23.6 23.1 19.9 17.1 10.8  7.9 15.0   24
2006  6.9  7.9 12.1 14.4 18.0 21.3 24.7 22.8 21.3 18.2 13.9  8.8 15.9   24
2007  8.7 10.9 10.9 13.8 16.7 19.8 22.4 22.3 20.0 16.0 10.8  8.6 15.1   24
2008  9.7 11.1 11.2 13.8 16.0 20.0 22.5 23.0 19.6 15.5  9.9  8.0 15.0   24
2009  7.8  8.9 11.6 12.4 17.4 21.4 23.2 23.9 20.5 17.8 13.3  9.3 15.6   24
2010  7.9  8.8 10.5 14.1 15.7 19.6 23.8 23.6 20.4 15.4 10.8  8.6 14.9   24
2011  8.6  9.7 11.1 16.0 18.3 20.4 22.1 23.5 21.3 17.7 13.1  9.5 15.9   24
2012  8.3  6.6 11.8 12.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0-99.0  9.6   24
AA    7.7  8.8 10.7 12.7 15.9 19.8 22.7 22.8 20.1 15.8 11.2  8.4 14.7
Ad    7.9  9.0 10.9 13.1 16.2 20.2 23.1 23.3 20.4 16.0 11.5  8.5 15.0
 
For Country Code 643
 
From input file ./data/v3.mean

By this time the AA and Ad values have dropped to 14.7 and 15.0 (from 15.1 and 14.8 for v1, then: 15.0 and 15.2 for v2) so about 4/10 C to 2/10 C of aggregate data cooling). BUT, the recent annual averages are STILL just about 15 +/- a couple of tenths.

The major “trick” being in places like 1945 where the temperature drops from 15.6 to 14.7 on thermometer additions. 1951 drops from 14.8 to 14.2 on almost the same thermometer counts and passes through 14.5 in v2 on the way with the same 22 thermometers as in v3. So at least they are doing the ‘cool the past’ more smoothly and gracefully in Spain… and trying to keep it inside the baseline window.

1992 cools from 15.7 to 14.8 C and that’s a bit “Ham Handed” as is the warming put in in 2008 where it rises from 14.8 to 15.0 (they ought to watch those major number transitions, it makes things stand out…) on 24 thermometers.

But still, overall, the data still run about 15.(small) in the present.

In Conclusion

IMHO this is about as good as it is likely to get.

Clear “adjustment for effect” with the body of past data being cooled at the same time that the more recent data are showing warming numbers. All the while having the actual average of temperatures not really changing from the 15.x it has always been.

Nicely done, whoever did Spain! (Especially disappearing that 17.x from 1920 in the v1 data set. It kind of stood out… hard to even notice now that the early 1920s are 16.x where x can be large.)

OK, I need to get back to being a numbers wrangler. A LOT more countries to do the basic data reports thereon. Then some graphs to make. Oh, and that dT/dt ‘thermometer only to itself no interpolating’ code ported to run on v1 and v3. But at least now I can feel comfortable that I know what I’m looking for. It’s those icebergs that show up cooling the past just about 10 to 30 years before present, whenever present happens to be ;-)

That’s all I could find. Let me know if you spot any other interesting “trick” artifacts! ;-)

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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...
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3 Responses to GHCN v3 Portugal and Spain

  1. George says:

    I believe a significant change between the versions is how SST is used to bias coastal temperature stations. Because these are “gridded squares”, coastal thermometers represent temperature in a grid cell that also extends over water. How much weight the SST is given for a grid cell is different in v1, v2, and v3. Check and see if you find the largest discrepancy between versions among coastal stations. Now remember that in v2 a lot of stations were removed. Most of the removed stations were inland. California, for example, in v2 is represented by 4 coastal stations for the entire state. In this case SST is very highly weighted in the grid square calculation. I also believe that surrounding grid squares can have an impact when data is missing and a fill value must be created. So this different weighting of the SST in the coastal grids can possibly have an impact on surrounding grids as well.

    Note that places like Bermuda and Jamaica will have a huge influence from changes in the SST weighting on the grids.

    Or maybe I am thinking of different versions of HADCRUT

  2. E.M.Smith says:

    @George:

    Good input, but this isn’t GISS or HADcrut. It is the GHCN land data set. In theory at least, just the monthly average temperature from a thermometer in a box on land, per record.

    It ought not to have any ‘grid boxing’ or “SST adjusting” done to it at this point. (Frankly, IMHO, it never ought to change from the original reading…)

  3. George says:

    I also remember reading it in the climategate emails, the second batch. It also had a blurb about adding more bouy data which would further “warm” the present temperatures and increase the global warming trend and they seemed to be quite pleased about this development. Basically there is a lot of banter in the climategate emails about GHCNv2 being junk and it was so junky that rather than fixing it, they decided to start from scratch and create v3. So I wouldn’t pay much attention to differences between v2 and v3 of GHCN, they knew v2 was junk.

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