This study used daily observation data obtained from
the Nigerian Meteorological Agency (NiMet) to investigate the temperature trend
of Nigeria from 1981-2015. The data were homogenised using the Quantile
Matching (QM) method and Quality Controlled. The data have been transformed
into three sets of data with different periods: daily, monthly and yearly. The
datasets (daily, monthly and yearly) were checked for autocorrelation and if
they were found auto correlated, the Modified Mann Kendall (MMK) and the Pre-Whitening (PW) methods were used and compared, if
not the normal Mann Kendall (MK) test was applied. The results showed for the
different methods, variations in the trend from one station to another and for
the minimum and maximum temperature. These variations were observed in the
different methods and data screening the performance of each of the methods in
the datasets. The general trend was found to be increasing. The variations in
the temperature increase the Diurnal Temperature Range (DTR) that impact human
health and increase the probability of occurrence of extreme events.
Cite this paper
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