GHCN – China, The Dragon Ate My Thermometers

Perhaps the Dragon Ate the Thermometers

Perhaps the Dragon Ate the Thermometers

Orginal image.

China – Rock Solid Stability, Until…

UPDATE: I’ve added a newer version with the bands starting at 20N. This is a better match to this data. I’ve left the older “By Latitude” chart below it for comparison / validation. You can see that the totals in the last year for the “less than and ending at 20N, ending in 25N, and ending in 30N bands do add up to the “less than and ending at 30N” of the original; but now we get a better view of the changes in the south.

Originally I said:

Here we see the thermometers, by 5 degree bands, starting at 30 and below, up to 35N, 40N, etc. We see the usual high concentration in one place at the ‘start of time’, then the spread, then stability just after WWI. There is a little growth and change, but it is mostly a study in consistency. China does extend a bit more southward than this particular chart, so I may come back and re-do it if needed. That 30% might be spread a bit further with a different alignment of the bands.

That chart is the second one below. I did “re-do it” and those results are in the first chart. The bands are “less than 20N and up to it. 20 up to 25. Up to 30N. etc. As usual, South Pole (SP) on the left, North Pole (NP) on the right. With that, here is the Chinese Long March of the Thermometers:

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

In this new version with better detail below 30N, we can see a bit more “spreading south” arriving in the 25N band from 1949 to 2009; though it just ends up back where it was in 1939. Basically, you can see the WWII dropout clearly, then the long slow recovery. Still, a remarkable testimony to the devotion of some unknown guardians of truth and data to be so dedicated that not even two world wars and a revolution could have much impact. I would be happy to use 1920 to 1990 China data as a benchmark standard.

The original latitude sort, with the lower bound at 30N, is here for comparison:

[chiefio@tubularbells analysis]$ cat 205.Dec.lat             
DecLatPct: 1849   0.0  14.3  85.7   0.0   0.0   0.0   0.0   0.0   0.0 100.0
DecLatPct: 1859  22.6  32.3  45.2   0.0   0.0   0.0   0.0   0.0   0.0 100.0
DecLatPct: 1869  34.8  30.4  34.8   0.0   0.0   0.0   0.0   0.0   0.0 100.0
DecLatPct: 1879  17.2  55.2  27.6   0.0   0.0   0.0   0.0   0.0   0.0 100.0
DecLatPct: 1889  13.0  74.1  13.0   0.0   0.0   0.0   0.0   0.0   0.0 100.0
DecLatPct: 1899  23.5  49.4  27.2   0.0   0.0   0.0   0.0   0.0   0.0 100.0
DecLatPct: 1909  18.6  34.7  35.5   8.7   2.5   0.0   0.0   0.0   0.0 100.0
DecLatPct: 1919  17.6  23.2  28.3  17.3  13.6   0.0   0.0   0.0   0.0 100.0
DecLatPct: 1929  31.9  18.4  26.5  13.4   9.8   0.0   0.0   0.0   0.0 100.0
DecLatPct: 1939  34.2  21.8  24.5  12.4   7.0   0.0   0.0   0.0   0.0 100.0
DecLatPct: 1949  39.9  20.1  23.4  12.2   4.5   0.0   0.0   0.0   0.0 100.0
DecLatPct: 1959  35.9  19.4  20.1  17.0   7.1   0.5   0.0   0.0   0.0 100.0
DecLatPct: 1969  32.8  20.3  20.9  17.6   7.5   1.0   0.0   0.0   0.0 100.0
DecLatPct: 1979  33.3  19.9  20.5  17.7   7.6   1.0   0.0   0.0   0.0 100.0
DecLatPct: 1989  33.1  19.7  20.5  18.0   7.7   1.0   0.0   0.0   0.0 100.0
DecLatPct: 1999  33.3  17.6  23.0  17.4   8.2   0.5   0.0   0.0   0.0 100.0
DecLatPct: 2009  32.6  16.6  24.0  18.9   7.9   0.0   0.0   0.0   0.0 100.0
[chiefio@tubularbells analysis]$ 

Looking a little deeper into the details of the particular years:

           Year SP-20    25    30    35    40    45    50    55    60  -NP 
DecLatPct: 1979   1.2  10.3  21.7  19.9  20.5  17.7   7.6   1.0   0.0   0.0 100.0
 
LAT pct: 1980   1.3  10.2  21.8  19.9  20.5  17.7   7.6   1.0   0.0   0.0 100.0
LAT pct: 1981   1.3  10.4  21.4  20.1  20.6  17.7   7.5   1.0   0.0   0.0 100.0
LAT pct: 1982   1.3  10.1  21.5  20.0  20.3  18.1   7.6   1.0   0.0   0.0 100.0
LAT pct: 1983   1.3  10.1  21.6  19.9  20.3  18.1   7.6   1.0   0.0   0.0 100.0
LAT pct: 1984   1.3  10.2  21.6  19.8  20.4  18.1   7.6   1.0   0.0   0.0 100.0
LAT pct: 1985   1.3  10.2  21.5  19.9  20.3  18.1   7.6   1.0   0.0   0.0 100.0
LAT pct: 1986   1.3  10.2  21.4  19.8  20.4  18.1   7.6   1.0   0.0   0.0 100.0
LAT pct: 1987   1.3  10.5  21.2  19.5  20.8  18.1   7.7   1.0   0.0   0.0 100.0
LAT pct: 1988   1.3  10.5  21.2  19.5  20.8  18.1   7.7   1.0   0.0   0.0 100.0
LAT pct: 1989   1.5  11.8  20.2  18.9  20.2  18.3   8.2   0.9   0.0   0.0 100.0
 
DecLatPct: 1989   1.3  10.4  21.4  19.7  20.5  18.0   7.7   1.0   0.0   0.0 100.0
 
LAT pct: 1990   1.5  11.9  20.3  19.0  20.0  18.3   8.2   0.9   0.0   0.0 100.0
LAT pct: 1991   0.0  16.7  18.1  15.3  25.0  16.7   8.3   0.0   0.0   0.0 100.0
LAT pct: 1992   0.0  15.8  18.4  15.8  26.3  15.8   7.9   0.0   0.0   0.0 100.0
LAT pct: 1993   0.0  14.3  17.1  14.3  28.6  17.1   8.6   0.0   0.0   0.0 100.0
LAT pct: 1994   0.0  13.5  18.9  16.2  27.0  16.2   8.1   0.0   0.0   0.0 100.0
LAT pct: 1995   0.0  13.5  18.9  16.2  27.0  16.2   8.1   0.0   0.0   0.0 100.0
LAT pct: 1996   0.0  13.5  18.9  16.2  27.0  16.2   8.1   0.0   0.0   0.0 100.0
LAT pct: 1997   0.0  13.5  18.9  16.2  27.0  16.2   8.1   0.0   0.0   0.0 100.0
LAT pct: 1998   0.0  13.5  18.9  16.2  27.0  16.2   8.1   0.0   0.0   0.0 100.0
LAT pct: 1999   0.0  13.5  18.9  16.2  27.0  16.2   8.1   0.0   0.0   0.0 100.0
 
DecLatPct: 1999   0.8  13.0  19.5  17.6  23.0  17.4   8.2   0.5   0.0   0.0 100.0
 
LAT pct: 2000   0.0  13.5  18.9  16.2  27.0  16.2   8.1   0.0   0.0   0.0 100.0
LAT pct: 2001   0.0  13.5  18.9  16.2  27.0  16.2   8.1   0.0   0.0   0.0 100.0
LAT pct: 2002   0.0  13.5  18.9  16.2  27.0  16.2   8.1   0.0   0.0   0.0 100.0
LAT pct: 2003   0.0  13.5  18.9  16.2  27.0  16.2   8.1   0.0   0.0   0.0 100.0
LAT pct: 2004   0.0  16.7  19.4  13.9  25.0  16.7   8.3   0.0   0.0   0.0 100.0
LAT pct: 2005   0.0  14.3  20.0  14.3  25.7  17.1   8.6   0.0   0.0   0.0 100.0
LAT pct: 2006   0.0  14.7  20.6  11.8  26.5  17.6   8.8   0.0   0.0   0.0 100.0
LAT pct: 2007   0.0  14.7  20.6  11.8  26.5  17.6   8.8   0.0   0.0   0.0 100.0
LAT pct: 2008   2.7   9.6  17.8  20.5  19.2  23.3   6.8   0.0   0.0   0.0 100.0
LAT pct: 2009   2.7   9.6  17.8  20.5  19.2  23.3   6.8   0.0   0.0   0.0 100.0
 
DecLatPct:2009   0.9  12.7  18.9  16.6  24.0  18.9   7.9   0.0   0.0   0.0 100.0
 
For COUNTRY CODE: 205
[chiefio@tubularbells analysis]$ 

The 1990 era change thins the 45N into the 40N and thins the 35N into the 25N and 30N (but ends with the 40N gaining a bit from more south as well). The 2007 changes increase the 35N and 45N significantly at the expense of the 40N (guess they noticed it was a bit high after the earlier changes…) and moves some of the 25N and 30N both ways, further south and into the 35N. The end game is that we end up with more or less the latitude distribution we had in 1989.

The Temperature History of China in GHCN

So, with this high stability, what did GHCN do to the thermometer counts? Anything interesting? Do we see thermometer counts changing in any odd way?

Again, we have year, 12 months of averages of MIN-MAX averages, the annual average and the count of total thermometers in the year on the far right. While scanning down the thermometer count list, watch the “annual mean” temperature just to the left of it. There is a remarkably steady 11.x for decade after decade once 400 thermometers are reached. Then a “step function” to 12.8 – 13.x range on the chop of the thermometer counts. Notice also that the rather consistent -2 -3 ranges in January bump up a little too.

Temperature and Thermometer Count by Year

Temperature and Thermometer Count by Year

And as a chart.

[chiefio@tubularbells analysis]$ cat Temps.205.yrs.GAT 

Thermometer Records, Average of Monthly Data and Yearly Average
by Year Across Month, with a count of thermometer records in that year 
--------------------------------------------------------------------------
YEAR  JAN  FEB  MAR  APR  MAY  JUN JULY  AUG SEPT  OCT  NOV  DEC  YR COUNT
--------------------------------------------------------------------------
1880  3.0  4.9  9.8 14.3 20.9 23.6 25.9 25.9 23.8 18.8  9.9  4.1 15.4   3
1881  1.2  4.0  5.2 13.7 18.4 23.7 27.3 27.1 22.8 17.0 10.5  4.3 14.6   2
1882  3.6  3.6  7.8 13.9 19.3 23.1 25.8 25.3 22.5 17.7  9.1  3.0 14.6   2
1883  0.7  2.4  7.8 14.0 17.9 24.7 27.5 26.4 22.4 17.0  8.8  2.7 14.4   2
1884  5.1  3.7  8.7 14.1 19.4 23.6 26.4 25.7 23.5 18.9 10.6  5.6 15.4   3
1885  4.8  4.6  9.2 13.6 19.7 23.0 25.7 27.6 23.3 19.1 11.6  8.4 15.9   2
1886  5.0  2.1  9.0 14.7 20.0 22.8 27.6 26.9 22.5 19.9 13.1  6.8 15.9   3
1887  5.3  5.8  9.8 16.5 19.6 23.3 26.9 28.1 24.5 18.9 13.3  8.4 16.7   2
1888  6.8  4.8 11.1 15.3 20.4 23.2 27.7 27.6 23.8 19.0 14.0 10.1 17.0   2
1889  4.0  5.5 10.6 14.8 19.0 25.1 27.7 26.6 22.2 17.6 11.1  5.8 15.8   3
1890  6.5  9.0  9.2 16.7 19.8 23.9 27.6 26.8 22.7 18.0 14.3 10.3 17.1   2
1891  2.8  4.5  9.0 13.8 20.8 24.0 26.4 26.5 22.8 19.1 10.9  5.9 15.5   4
1892  3.7  4.8  6.3 14.9 19.4 24.7 27.4 27.3 21.7 16.3 11.1  3.9 15.1   4
1893 -0.3  2.2  8.8 15.0 19.0 24.1 27.3 25.9 23.4 16.6  9.3  4.8 14.7   4
1894  3.2  4.8  9.1 16.0 20.2 24.5 27.8 27.3 23.0 17.2 11.0  4.6 15.7   4
1895  2.5  2.9  6.7 15.6 20.1 24.1 26.0 26.3 21.9 16.9 10.0  4.8 14.8   4
1896  3.6  3.3  6.5 14.6 19.6 24.3 26.4 26.9 23.2 17.1 12.6  4.4 15.2   4
1897  9.1  5.0 10.5 15.7 21.6 25.2 27.4 27.4 24.3 19.9 14.7  7.2 17.3   7
1898  7.7  9.8  9.0 15.4 21.2 25.2 27.5 26.7 24.0 19.2 13.9  7.6 17.3   8
1899  5.8  7.8 11.1 16.0 20.7 24.7 27.1 26.2 22.9 17.4 12.1  8.9 16.7   8
1900  2.8  6.0 10.3 16.4 21.2 23.5 27.2 27.4 23.9 19.4 13.4  8.0 16.6   8
1901  6.4  3.9 10.8 16.6 20.1 24.0 26.1 26.4 23.5 18.6 12.9  6.7 16.3   7
1902  7.5  7.2 12.4 16.2 21.2 23.9 26.5 26.4 23.0 20.0 15.1  8.7 17.3   7
1903  5.6  7.3 11.1 16.3 20.3 23.9 26.1 26.8 23.4 18.2 11.4  6.5 16.4   8
1904  5.2  8.3 10.4 15.4 20.0 24.1 26.4 26.4 23.4 18.0 11.8  6.2 16.3   8
1905  5.2  1.7  6.8 12.4 18.9 23.9 26.4 25.8 22.1 16.2  9.5  4.9 14.5  15
1906  0.4  0.1  7.1 14.0 19.0 23.6 26.4 26.2 22.1 16.5  7.5  4.3 13.9  15
1907  3.3  0.3  6.8 13.8 19.4 23.0 25.0 26.6 22.1 17.5  8.6  3.3 14.1  17
1908  0.4  0.7  6.1 12.5 18.9 23.8 26.1 26.6 22.0 17.0  9.0  5.2 14.0  17
1909 -4.0 -1.7  1.8 10.8 17.5 21.4 25.3 25.3 20.4 13.5  6.6 -2.1 11.2  20
1910 -4.9 -3.0  2.5 10.7 17.5 22.1 25.5 24.8 19.1 13.9  4.7 -4.2 10.7  22
1911 -4.7 -2.6  2.6 11.1 17.0 21.8 24.5 24.6 20.9 12.8  5.9 -2.2 11.0  23
1912 -3.4  0.7  4.0 12.3 17.7 23.0 25.6 24.9 18.8 12.2  3.5 -2.5 11.4  22
1913 -3.8 -1.3  3.5 12.0 17.8 22.1 24.6 25.0 20.4 14.0  6.5 -1.4 11.6  23
1914 -1.2 -0.3  4.7 11.8 18.5 22.9 25.6 24.9 19.5 14.4  3.5 -2.3 11.8  28
1915 -6.1 -3.3  2.3  9.9 17.2 22.2 25.3 24.5 19.3 13.8  6.6  0.1 11.0  30
1916 -2.8 -1.9  1.6 10.4 17.7 22.0 25.0 24.7 19.3 13.2  5.6 -3.0 11.0  31
1917 -6.1 -1.9  3.9 11.9 17.0 23.4 25.4 25.0 20.1 13.5  4.2 -3.7 11.1  33
1918 -4.6 -0.4  5.8 12.3 17.4 22.2 24.8 24.4 19.9 14.2  5.0 -1.4 11.6  33
1919 -4.8  0.1  6.1 12.6 18.2 23.0 26.4 25.8 20.2 13.9  6.0 -1.2 12.2  34
1920 -2.2 -3.7  5.4 12.9 19.3 22.5 26.5 25.0 19.8 15.2  7.0 -0.2 12.3  35
1921 -1.4  0.6  5.3 12.6 18.6 22.4 25.4 24.7 19.9 14.0  6.0  0.7 12.4  39
1922 -4.3  2.1  5.8 14.0 18.4 23.6 25.8 25.0 20.2 15.3  5.2  0.5 12.6  41
1923 -2.6 -0.7  7.0 12.1 18.6 22.4 25.0 24.8 19.6 13.5  6.0  0.0 12.1  41
1924  0.1  0.6  5.1 13.6 19.4 23.5 25.6 25.9 21.5 14.8  7.1  1.8 13.3  52
1925 -1.3  0.0  6.4 12.7 19.1 23.6 25.8 25.1 21.5 16.0 10.0  2.1 13.4  52
1926  0.9  2.5  7.8 13.8 20.2 22.8 25.9 26.0 22.0 14.2  8.5  1.0 13.8  50
1927 -0.2  0.6  5.7 13.4 18.6 23.4 26.5 25.6 21.4 15.4  9.6  2.1 13.5  50
1928  0.8  1.6  8.0 15.0 20.2 23.3 26.5 25.3 21.6 15.5  8.6  2.7 14.1  53
1929  0.6  1.9  8.5 14.5 20.3 24.2 26.1 25.6 22.0 16.6  9.8  3.7 14.5  54
1930 -0.5  5.0  9.5 15.2 20.2 23.4 26.9 25.6 21.0 15.7  7.1  2.4 14.3  57
1931 -0.7  0.1  7.8 13.4 18.8 23.5 25.0 25.6 21.4 15.4  9.6  2.2 13.5  59
1932  2.1  0.3  6.9 14.1 19.8 23.5 26.5 25.4 21.2 15.2  9.1  2.8 13.9  70
1933 -1.0  2.8  7.0 14.4 20.5 23.9 27.2 26.3 22.6 15.9  9.5  4.8 14.5  70
1934 -0.7  3.8  7.6 13.2 21.1 24.0 27.2 26.0 22.1 15.0  9.1  5.3 14.5  72
1935  1.4  4.8 10.1 14.3 20.1 23.8 26.2 25.9 21.5 17.4  8.8  0.2 14.5  82
1936 -2.5  0.0  4.2 13.2 18.6 23.6 25.6 24.8 21.3 15.4  8.2  1.3 12.8  98
1937 -0.9  1.7  6.2 13.4 19.2 22.6 25.6 25.0 20.6 15.1  6.8  1.1 13.0 110
1938 -2.1  1.0  7.3 14.9 19.0 22.4 25.2 24.6 19.6 15.3  6.1 -0.4 12.7 101
1939 -2.5  0.5  6.4 12.5 18.8 22.3 25.3 25.1 19.3 13.7  5.5  0.1 12.2 105
1940 -2.8  0.2  5.9 12.2 18.2 22.2 24.9 22.7 19.4 14.2  5.8  1.2 12.0 113
1941 -0.4  0.8  6.5 12.9 18.9 22.7 24.6 23.7 19.3 14.0  6.9  1.7 12.6 104
1942 -0.6  0.0  8.9 13.5 18.8 23.3 25.5 24.2 20.2 15.2  9.2  2.2 13.4 102
1943 -1.2  2.1  8.5 13.5 19.6 22.6 24.9 24.2 20.0 14.5  7.1  2.8 13.2  92
1944  1.8  3.5  9.7 14.1 18.9 22.7 25.5 23.8 20.1 13.7  7.5 -1.3 13.3  74
1945 -0.7 -0.2  7.6 15.2 18.9 23.2 24.3 23.8 20.4 13.8  9.9  2.4 13.2  63
1946  3.7  6.6  8.3 16.8 19.2 23.4 24.8 24.7 21.1 15.4  9.5  2.5 14.7  75
1947  2.6  2.7  9.0 15.1 19.9 22.4 25.1 24.4 20.7 13.4  8.8  1.9 13.8  80
1948  1.3  4.2  9.2 15.9 18.3 23.0 24.6 24.5 21.5 14.8  7.9  5.3 14.2  77
1949  2.0  4.7  8.2 14.0 20.0 22.7 25.4 24.6 20.6 14.4  6.6 -0.2 13.6  86
1950  0.3  0.6  7.5 13.5 19.0 22.5 25.6 24.6 19.6 14.3  6.2 -0.1 12.8  91
1951 -1.1  1.7  6.1 12.4 19.9 22.9 24.8 25.3 19.7 15.7  7.8  3.8 13.2 160
1952  0.8  1.0  7.2 14.9 19.6 23.2 25.5 23.5 20.3 13.8  7.9 -0.2 13.1 218
1953 -1.2  1.9  8.2 12.6 19.0 23.2 25.6 24.9 19.7 15.1  7.0  1.6 13.1 260
1954 -0.7  1.7  5.4 13.7 18.0 21.8 23.8 23.7 19.9 13.2  8.0 -2.5 12.2 302
1955 -3.2  2.0  6.1 12.5 18.6 22.5 24.4 24.0 20.4 13.1  6.1  2.6 12.4 319
1956 -3.1  0.1  5.8 13.6 17.5 22.0 24.3 23.0 19.4 13.0  4.2 -1.6 11.5 343
1957 -2.2 -2.8  4.8 12.8 17.1 21.2 23.6 22.9 17.8 12.2  7.1  0.7 11.3 388
1958 -3.0 -0.2  6.6 13.5 17.4 21.9 24.4 22.1 18.9 11.8  5.6  1.5 11.7 399
1959 -2.7  0.8  7.3 13.3 17.1 21.4 24.1 23.5 18.8 13.5  4.8 -0.1 11.8 410
1960 -2.5  2.6  7.2 11.7 16.8 21.8 23.8 22.9 19.3 12.3  5.3 -1.2 11.7 413
1961 -2.7  0.4  6.2 13.3 17.6 22.3 24.3 23.0 18.7 12.7  6.4 -0.5 11.8 415
1962 -3.2  1.0  5.2 11.6 17.7 21.2 24.0 22.9 18.8 12.4  4.2  0.2 11.3 415
1963 -3.7  0.1  7.0 12.1 18.4 21.5 23.5 23.3 19.2 12.1  6.0 -0.1 11.6 417
1964 -2.2 -3.4  6.0 13.6 17.8 20.9 23.6 22.9 18.6 12.8  5.6 -0.7 11.3 416
1965 -1.6  0.4  5.1 11.8 17.9 21.2 23.5 22.2 18.2 13.2  5.9 -1.5 11.4 415
1966 -1.7  1.9  6.6 12.1 17.5 21.3 23.5 23.4 17.8 12.8  5.3 -1.8 11.6 416
1967 -3.1 -1.0  6.1 12.1 18.9 21.5 23.8 23.6 17.9 12.3  3.8 -3.3 11.1 415
1968 -3.0 -3.0  6.5 12.3 17.6 21.5 23.8 22.3 18.4 11.9  6.3  1.4 11.3 414
1969 -3.7 -2.9  5.4 12.4 18.4 20.8 23.5 22.6 18.6 13.0  4.0 -1.3 10.9 415
1970 -3.5  0.7  2.8 11.9 18.0 20.9 23.5 23.1 18.4 12.4  5.0 -0.2 11.1 416
1971 -2.7 -0.5  5.0 12.7 17.5 21.5 24.1 22.6 18.2 12.0  6.2 -0.4 11.3 416
1972 -1.6 -2.1  6.9 11.9 17.8 21.9 23.5 22.7 17.7 12.3  5.6 -0.2 11.4 416
1973 -1.7  1.7  6.8 13.5 17.3 21.3 23.5 23.0 18.6 12.0  5.8 -0.4 11.8 416
1974 -2.4 -0.9  5.0 13.2 18.1 21.0 23.6 22.4 18.5 12.1  6.0 -1.7 11.2 416
1975 -1.2  0.8  6.8 13.1 17.1 21.7 23.6 23.4 19.8 13.3  5.6 -2.1 11.8 417
1976 -2.0  1.9  4.8 11.5 17.6 20.6 22.7 22.2 18.1 12.5  3.1 -1.0 11.0 417
1977 -5.2 -1.0  6.9 13.0 17.4 21.3 23.9 22.6 18.9 13.6  5.3  0.8 11.5 417
1978 -2.7 -0.7  5.8 13.2 18.0 22.0 24.0 23.2 18.7 12.3  6.0  0.8 11.7 417
1979 -1.1  2.1  5.7 12.0 17.3 21.6 23.4 22.7 17.8 13.2  4.4  1.1 11.7 416
1980 -2.5 -0.8  5.4 11.7 17.9 22.0 23.6 22.2 17.9 12.6  7.7 -0.3 11.4 417
1981 -2.9  0.4  7.2 13.6 17.5 21.8 24.2 23.0 18.4 11.4  3.8 -0.7 11.5 420
1982 -1.1  0.7  6.4 12.4 18.2 21.1 23.4 23.0 18.0 13.9  5.8 -1.0 11.7 414
1983 -2.4 -0.7  5.6 12.6 18.3 21.2 23.4 22.9 19.5 13.0  6.2 -0.3 11.6 414
1984 -3.9 -1.5  5.2 12.4 17.7 21.7 23.4 22.8 18.0 12.3  6.4 -1.9 11.1 413
1985 -3.0  0.0  3.9 12.9 18.3 21.3 23.4 23.3 17.8 13.3  5.2 -1.5 11.2 414
1986 -1.9 -0.3  5.9 12.3 18.5 21.9 23.4 22.6 18.3 11.7  4.8  0.3 11.5 413
1987 -1.1  2.0  5.7 12.7 17.7 21.1 23.5 22.9 18.7 13.2  5.5  0.2 11.8 414
1988 -1.1 -0.5  4.2 12.4 17.8 22.3 24.2 22.8 18.7 13.1  6.2  0.9 11.8 414
1989 -1.3  1.0  6.5 13.1 18.0 21.3 23.2 22.7 18.9 13.6  5.7  1.2 12.0 375
1990 -1.7  1.3  7.7 12.1 17.6 21.9 23.9 23.4 19.2 13.8  7.8  1.1 12.3 375
1991 -0.7  1.2  6.8 13.7 18.7 23.1 24.9 24.6 20.1 13.4  6.7  0.8 12.8  37
1992 -1.5  2.1  5.7 14.5 18.8 22.2 24.8 23.2 19.4  7.8  5.4 -0.1 11.9  38
1993 -3.2  3.4  7.8 13.4 17.7 22.7 24.1 22.6 19.5 11.6  6.0 -1.6 12.0  35
1994 -3.2 -0.7  6.1 14.6 19.5 22.9 25.3 24.0 19.0 12.5  9.5  0.7 12.5  37
1995 -0.1  1.0  7.1 13.5 19.2 23.1 24.2 23.4 19.2 14.0  7.1  0.5 12.7  37
1996 -2.0  0.1  7.3 12.8 18.9 22.3 24.0 22.9 19.6 14.0  5.9  0.6 12.2  37
1997 -1.2  0.8  8.9 14.5 20.2 22.7 24.5 23.7 18.1 13.3  6.0  0.7 12.7  37
1998 -1.9  3.5  6.8 15.9 19.2 22.8 24.6 23.9 20.3 14.9  8.7  2.5 13.4  37
1999  0.6  3.9  7.6 15.5 19.3 23.2 24.5 22.9 20.4 14.4  7.2  0.6 13.3  37
2000  0.7  1.4  8.6 14.6 20.1 22.6 26.1 24.7 19.9 13.5  4.6  0.1 13.1  37
2001 -0.7  0.8  8.1 14.3 20.3 23.4 25.1 24.0 19.8 14.4  7.4 -0.7 13.0  37
2002  0.5  4.2  9.6 14.6 19.0 23.3 24.6 23.8 19.2 13.4  6.5 -0.4 13.2  37
2003 -1.2  3.0  7.6 14.4 19.4 22.7 24.3 23.6 19.9 13.6  6.5  0.7 12.9  37
2004 -0.9  3.0  8.3 15.4 19.3 23.2 24.4 23.4 19.7 13.4  7.3  0.8 13.1  36
2005 -1.6 -0.1  7.4 15.2 19.4 23.7 25.0 23.4 20.6 14.0  7.5 -1.0 12.8  35
2006 -1.6  2.2  8.1 14.4 19.3 22.9 24.8 24.4 19.5 15.4  7.9  0.7 13.2  34
2007 -0.8  4.9  8.0 14.4 20.3 23.3 24.7 23.9 19.8 13.6  7.0  1.6 13.4  34
2008 -3.2 -0.7 10.0 15.2 20.1 23.4 25.2 24.1 18.9 13.0  5.6  1.4 12.8  73
     -2.1  0.3  6.1 12.8 18.1 21.8 24.1 23.3 19.0 13.1  6.0  0.0 11.9
     -0.4  1.6  7.0 13.6 18.9 22.8 25.2 24.6 20.4 14.6  7.6  1.6
 
For Country Code 205
[chiefio@tubularbells analysis]$ 

Once again, we have a “2 step” change of thermometer counts. Earlier, we can see the drop in numbers during late WWII, and the continued swoon in the troubles after that, but rapidly rising back to normal trend. In 1958, the numbers stabilize at about 400. This holds with astounding stability up until 1989 – 91; when if falls off a cliff to less than 40. I would bet hard money that it was not China that made that cut. WWI and WWII didn’t have that much impact, nor did the Cultural Revolution… But there is also a surprise jump at the end. Just like Russia, we get a few added back in in 2008. That jump to 73 is demanding attention… Though there does not seem to have been much change of temperatures between 2007 and 2008.

The list of thermometers in 2007 vs. 2009

These are the “base case” thermometers in 2007. I’m leaving this “ragged right with wrap” so you can see the whole record. I will not be listing the whole 400+ stations from prior to the deletion (unless folks request it). I’m pretty sure it would have had good geographical coverage of all China, given the number.

[chiefio@tubularbells analysis]$ cat 205.stns2007
20550527000 HAILAR 49.22 119.75 611 630U 120FLxxno-9A 1COOL FIELD/WOODSC 29
20550745000 QIQIHAR 47.38 123.92 148 150U 1500FLxxno-9x-9COOL GRASS/SHRUBC 20
20551076000 ALTAY 47.73 88.08 737 1014R -9MVDEno-9x-9COOL GRASS/SHRUBA 0
20551431000 YINING 43.95 81.33 663 1104U 160MVxxno-9x-9WARM GRASS/SHRUBC 20
20551463000 URUMQI 43.78 87.62 919 868U 500MVxxno-9x-9COOL IRRIGATED C 27
20551709000 KASHI 39.47 75.98 1291 1406U 175FLxxno-9x-9COOL IRRIGATED C 18
20551777000 RUOQIANG 39.03 88.17 889 1092R -9FLDEno-9x-9WARM GRASS/SHRUBA 0
20551828000 HOTAN 37.13 79.93 1375 1432U 134FLxxno-9x-9SAND DESERT C 13
20552203000 HAMI 42.82 93.52 739 777U 55FLxxno-9x-9HOT DESERT C 12
20552533000 JIUQUAN 39.77 98.48 1478 1505S 25HIxxno-9x-9HOT DESERT B 8
20552836000 DULAN 36.30 98.10 3192 3281R -9MVDEno-9x-9COOL GRASS/SHRUBA 0
20553068000 ERENHOT 44.22 111.53 965 1220R -9FLDEno-9x-9WARM GRASS/SHRUBA 0
20553614000 YINCHUAN 38.48 106.22 1112 1159U 175FLxxno-9x-9HOT DESERT C 15
20553772000 TAIYUAN 37.78 112.55 779 1109U 2725HIxxno-9x-9COOL MIXED C 8
20554292000 YANJI 42.88 129.47 178 228U 130HIxxno-9x-9COOL CROPS C 10
20554342000 SHENYANG 41.77 123.43 43 90U 3750FLxxno-9x-9WARM CROPS C 38
20554511000 BEIJING 39.93 116.28 55 142U 8500HIxxno-9x-9WARM CROPS C 64
20554857000 QINGDAO 36.07 120.33 77 4U 1900HIxxCO 2x-9WARM CROPS C 38
20555591000 LHASA 29.67 91.13 3650 4813U 175MVxxno-9x-9SIBERIAN PARKS C 21
20556137000 QAMDO 31.15 97.17 3307 5099R -9MVxxno-9x-9SIBERIAN PARKS C 7
20556571000 XICHANG 27.90 102.27 1599 1869R -9MVxxno-9x-9WARM CONIFER C 18
20556739000 TENGCHONG 25.12 98.48 1649 1745R -9MVxxno-9x-9TROP. SEASONAL A 0
20556778000 KUNMING 25.02 102.68 1892 2062U 1300HIxxLA-9x-9WARM GRASS/SHRUBC 41
20556985000 MENGZI 23.38 103.38 1302 1680R -9MVMAno-9x-9TROP. MONTANE C 19
20557083000 ZHENGZHOU 34.72 113.65 111 150U 1500FLxxno-9x-9WARM CROPS C 19
20557461000 YICHANG 30.70 111.30 134 587U 150HIxxno-9x-9PADDYLANDS C 14
20557745000 ZHIJIANG 27.45 109.68 273 423R -9HIxxno-9x-9WARM DECIDUOUS C 0
20557993000 GANZHOU 25.85 114.95 125 187U 135HIxxno-9x-9WARM DECIDUOUS C 19
20558362000 SHANGHAI CHINA 31.20 121.40 7 23U10980FLxxCO25A 1PADDYLANDS C 81
20558606000 NANCHANG 28.60 115.92 50 44U 900HIxxno-9x-9PADDYLANDS C 0
20559287000 GUANGZHOU 23.13 113.32 8 90U 2300FLxxno-9x-9PADDYLANDS C 65
20559316000 SHANTOU 23.40 116.68 3 30U 400FLxxCO 1x-9WATER C 41
20559431000 NANNING 22.82 108.35 73 166U 375HIxxno-9x-9WARM GRASS/SHRUBC 27
20559758000 HAIKOU 20.03 110.35 15 24U 500HIxxCO 3x-9WARM GRASS/SHRUBC 55
[chiefio@tubularbells analysis]$


Not much for a country the size of China. Roughly the size of the continental USA.

Here is the “difference” between 2007 and 2009. All are additions, so they all start with a “+” sign.

[chiefio@tubularbells analysis]$ !cat
cat 205.stns.2007to2009
+ 20550963000 TONGHE 45.97 128.73 110 477S 20HIxxno-9x-9COOL CROPS C 12
+ 20551243000 KARAMAY 45.60 84.85 428 354R -9HIDEno-9x-9WARM GRASS/SHRUBC 30
+ 20551644000 KUQA 41.72 82.95 1100 1300U 103HIxxno-9x-9WARM GRASS/SHRUBC 9
+ 20551656000 KORLA 41.75 86.13 933 1189S 46FLxxno-9x-9SAND DESERT C 11
+ 20552267000 EJIN QI 41.95 101.07 941 1220R -9HIDEno-9x-9HOT DESERT A 0
+ 20552323000 MAZONG SHAN 41.80 97.03 1770 1906R -9HIDEno-9x-9HOT DESERT A 0
+ 20552418000 DUNHUANG 40.15 94.68 1140 1066U 55FLxxno-9x-9COOL IRRIGATED B 13
+ 20552495000 BAYAN MOD 40.75 104.50 1329 1220R -9HIDEno-9x-9HOT DESERT A 0
+ 20552681000 MINQIN 38.63 103.08 1367 1520R -9FLDEno-9x-9SAND DESERT B 9
+ 20552866000 XINING 36.62 101.77 2262 2376U 250MVxxno-9x-9WARM GRASS/SHRUBC 23
+ 20553336000 HALIUT 41.57 108.52 1290 1317R -9HIDEno-9x-9HOT DESERT B 13
+ 20553845000 YAN AN 36.60 109.50 959 1156R -9HIxxno-9A-9WARM GRASS/SHRUBC 12
+ 20554026000 JARUD QI 44.57 120.90 266 300R -9FLDEno-9x-9COOL CROPS C 10
+ 20554102000 XILIN HOT 43.95 116.07 991 1079S 40FLxxno-9x-9COOL GRASS/SHRUBC 17
+ 20554161000 CHANGCHUN 43.90 125.22 238 283U 1500FLxxno-9x-9COOL FIELD/WOODSC 24
+ 20554218000 CHIFENG 42.27 118.97 572 648U 90HIxxno-9x-9COOL CROPS C 29
+ 20554662000 DALIAN 38.90 121.63 97 39U 1480HIxxCO 2x-9WATER C 26
+ 20554823000 JINAN 36.68 116.98 58 60U 1500HIxxno-9x-9WARM FOR./FIELD C 47
+ 20555228000 SHIQUANHE 32.50 80.08 4279 4597R -9MVxxno-9x-9WARM DECIDUOUS A 0
+ 20555472000 XAINZA 30.95 88.63 4670 5205R -9MVxxno-9x-9TUNDRA A 0
+ 20556004000 TUOTUOHE 34.22 92.43 4535 4606R -9MVxxno-9x-9TUNDRA A 0
+ 20556029000 YUSHU 33.02 97.02 3682 5078U 80MVxxno-9x-9TUNDRA A 0
+ 20556046000 DARLAG 33.75 99.65 3968 4017R -9MVxxno-9x-9SIBERIAN PARKS A 0
+ 20556079000 RUO’ERGAI 33.58 102.97 3441 3622R -9MVxxno-9x-9WARM CROPS A 0
+ 20556106000 SOG XIAN 31.88 93.78 4024 5015R -9MVxxno-9x-9TUNDRA A 0
+ 20556444000 DEQEN 28.50 98.90 3488 3349R -9MVxxno-9x-9TUNDRA A 0
+ 20556964000 SIMAO 22.77 100.98 1303 1336R -9MVxxno-9x-9WARM DECIDUOUS B 19
+ 20557127000 HANZHONG 33.07 107.03 509 611U 120MVxxno-9x-9WARM DECIDUOUS C 13
+ 20557494000 WUHAN 30.62 114.13 23 60U 4250FLxxno-9x-9PADDYLANDS C 13
+ 20557516000 CHONGQING 29.52 106.48 351 352U 3500HIxxno-9x-9PADDYLANDS C 20
+ 20557816000 GUIYANG 26.58 106.72 1074 1289U 1500FLxxno-9x-9WARM GRASS/SHRUBC 25
+ 20558027000 XUZHOU 34.28 117.15 42 60U 1500HIxxno-9A 1WARM CROPS C 28
+ 20558238000 NANJING 32.00 118.80 12 100U 2000HIxxno-9x-9PADDYLANDS C 18
+ 20558633000 QU XIAN 28.97 118.87 71 303U 60MVxxno-9x-9WARM MIXED C 23
+ 20558666000 DACHEN DAO 28.45 121.88 84 0R -9HIxxCO 1x-9WATER A 0
+ 20558847000 FUZHOU 26.08 119.28 85 199U 900HIxxCO30x-9PADDYLANDS C 37
+ 20559211000 BAISE 23.90 106.60 242 268R -9HIxxno-9x-9PADDYLANDS C 15
+ 20559948000 YAXIAN 18.23 109.52 7 48R -9HIxxCO 1A-9WATER C 29
+ 20559981000 XISHA DAO 16.83 112.33 5 0R -9FLxxCO 1x-9WATER A 0
[chiefio@tubularbells analysis]$

Two are added in the deep south as “WATER”. I suspect this are rocks in the South China sea where China is attempting to assert territorial claims. A batch near the middle are “TUNDRA” that looks to be in Tibet, perhaps again asserting a claim. But a lot of these are flagged as DESERT or HOT DESERT. The behaviour is suspicious, to say the least. A map might make it more clear what is being done. I suspect we will find that a few cold locations are added, but more warm ones. On the other hand, the list does look more political. Wonder if any “horse trading” is involved in what thermometers get on the list…

At any rate, were I China, looking at my internal full set of 400+ thermometers and seeing what I suspect it shows (a continuation of that dead flat interval): I would be more than happy to tell the world to go pound sand, I was going to burn all the coal and oil I wanted; but of course they could pay me to say nice words and sign a treaty giving me the right to burn fuels AND be paid. Golly, that sounds exactly like what China has said publicly…

If anyone knows of a place to get the Chinese equivalent of the USHCN data set (i.e. the data that includes the full 400+ Chinese thermometer records pre-GHCN deletions), I would dearly like to add it to this analysis.

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About E.M.Smith

A technical managerial sort interested in things from Stonehenge to computer science. My present "hot buttons' are the mythology of Climate Change and ancient metrology; but things change...
This entry was posted in NCDC - GHCN Issues and tagged . Bookmark the permalink.

6 Responses to GHCN – China, The Dragon Ate My Thermometers

  1. Harold Vance says:

    The change from 1990 to 1991 represents one order of magnitude. Does the term “step change” do it justice?

    Imagine that you are an astronomer. You’ve been stargazing for decades using a Newtonian reflector with a 12″ mirror. Then, one day, the Langoliers show up and smash your beloved instrument to pieces. The only thing you have left is an old 4″ reflector, which has roughly nine times less light-gathering power.

    It’s a valid analogy assuming that the thermometers are distributed relatively evenly throughout the country.

    Cliff jump, yes. Step change, hardly.

  2. kuhnkat says:

    Ya think that these types of analysis is why HadCrut “lost” their data??

    REPLY: “Personal opinion: YES. -ems”

  3. Ripper says:

    Graph

  4. Butch Cassidy says:

    “Who ARE those guys???”

  5. Sundance Kid says:

    “I dunno, but they seem to be gaining on us!!!!”

  6. Finley Peter Dunne says:

    “Mr. Dooley says:

    This is the part where you boys, (i.e., the IPCC) tumble over the edge of the cliff, shouting, ‘oh, s***’ as you flail toward the river at the bottom of the canyon. . . . . . . . . . .

    …………………………………………..and the audience breaks out in laughter!!!”

Comments are closed.