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A statistical method for quality control of routine temperature observations in developing countries
Author(s) -
Stigter C. J.,
Hyera T. M.,
Mjungu Y. B.
Publication year - 1983
Publication title -
journal of climatology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.58
H-Index - 166
eISSN - 1097-0088
pISSN - 0196-1748
DOI - 10.1002/joc.3370030309
Subject(s) - thermometer , statistical analysis , temperature control , statistical process control , control (management) , quality (philosophy) , computer science , statistics , environmental science , mathematics , engineering , artificial intelligence , philosophy , physics , process (computing) , epistemology , quantum mechanics , control engineering , operating system
Abstract A simple statistical method is outlined to evaluate and improve routine temperature observations from meteorological stations in developing countries. This quality control achieves two things. It identifies anomalous data before storage or use. It also reveals whether thermograph, minimum thermometer, maximum thermometer and dry bulb thermometer have to be checked and/or how their data must be improved to be internally consistent. In addition this statistical approach assesses differences between averaging methods. It can be concluded that with this cost‐efficient method, temperature data accuracy obtained will be adequate for agricultural purposes and other climatological applications.