| dc.description.abstract | The objective of this study was to determine the characteristics of extreme climatic events of rainfall maximum and minimum temperatures over Kenya.Tobe able to achieve this, the trend
series and frequency analysis of these weather elements were carried out and then aligned to
climate change. The aim of this study was to try and reduce the impacts of these extreme
weather parameters on all spheres of life especially, the socio-economic. The various sectors
include; water resources, Agriculture, health, Energy,Transport, just to mention a few
In this study the weather parameters used were the monthly totals of rainfall, mean monthly
maximum and minimum temperature data for the period 1961 to 2013. Twelve stations were
used for rainfall and maximum and minimum temperature analysis. The entire data was
obtained from the Kenya meteorological service (KMS).
The missing data was estimated using the arithmetic mean method. The data was then
subjected to data quality control using the single mass curve test for homogeneity. Itwas then
standardized to help determine the extreme event where Z> +1andZ < -1 was taken to be
an extreme event of positive and negative anomaly respectively.
Time series for the parameters was done to determine the trend. The statistical significance of
the trend was tested using t-test.
The finding of this study has established an increase in negative e rainfall anomaly, the increase
in positive maximum and minimum temperature anomalies and the decrease in negative
maximum and minimum temperatures over Kenya may be linked to climate change. | en_US |
