Asia 13 Temperatures

This post refers to my analysis of recorded annual mean temperature trends at 13 stations extending from Siberia to Japan, Malaysia and India.  The stations were all with long records (many over 100 years) and located in rural areas or small towns.  The analysis used raw data (as recorded, without any adjustments) as published by KNMI (the Dutch Meteorological Institute). Polynomial curves of best fit were added to the plots.


In all, a total of 257 stations worldwide were used in a larger analysis, but these have been summarised here by selecting 13 stations in the Asia region. The selected stations were not “cherry-picked”. Links to separate summaries in three other regions, with a total of 37 stations, are given below.  Links to the analyses at the 257 individual stations (worldwide) are also given below.

No attempt was been made to derive “regional average” temperature trends. Instead analyses were made at individual stations as this was considered to be more physically meaningful and practical using thermometer observation data. Using this approach any inconsistencies due to data quality would be identified as outliers.

The analyses at these 13 stations showed that:

  •    About 80% of the stations had a well-defined cyclical long-term trend with periods (the time between peaks in the trends) of about 80 years.  Commonly trend peaks occurred around 1930 and 2010 with trend troughs around 1900 and 1960, although this does vary.
  • About 80% of the stations showed a plateau or peak trend in the period since 2000.
  • At about 20% of the stations there no evidence of a peak in the trend since 2000.
  • About 20% of the stations had a neutral or negative overall trend over the past century.

Plots are shown below for the 13 stations.  It should be noted that the polynomial fit line (in red) can sometimes be misleading at either end of the series as the line is very dependent on the temperature values in individual years (this sensitivity does not occur away from the start and end of the series).


Salehard, Russia  1882-2016


Turuhansk, Russia  1881-2016


Viljujsk, Russia  1898-2016


Ohotsk, Russia  1890-2016


Kazalinsk, Kazakhstan  1881-2016


Jiuquan, China  1934-2015


Tengchong, China  1916-2015


Urakawa, Japan  1927-2015


Ishigakijima  1897-2015


Sandakan, Malaysia  1880-2015


Port Blair, India  1868-2015


Minicoy, India  1931-2015


Dwarka, India  1901-2015


For convenience of management the 50 selected regional stations have been grouped into four large regions (see map below) as follows:

  • Americas region, 14 stations
  • Europe and northern Africa region, 9 stations
  • Asia region, 13 stations
  • Southern Africa, Australia, Antarctica region, 14 stations


Links to the analyses of the long-term temperature trends at the other 37 stations are presented within the other three large regional blog posts:

The analyses at the 50 worldwide stations are summarised in the blog post:

Similar links the the analyses of the long-term temperature trends at all 257 stations analysed are presented within 27 smaller regional blog items:

Please let me know what you think of my analyses.

The Author:

This article was written by Brian Gunter of Narooma, NSW, Australia. In his previous life Brian was an engineering hydrologist involved over many years in the analysis of rainfall and river flow data for the planning of water resources projects in Australia, Asia and Africa. In recent years he has been one of the Marine Rescue NSW (previously Royal Volunteer Coastal Patrol) volunteer weather observers who operate the Narooma station for the Bureau of Meteorology.


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