@article{MAKHILLERJ20148228422,
    title = {Trend Analysis of Rainfall and Temperature Variability in Arid Environment of Turkana, Kenya},
    journal = {Environmental Research Journal},
    volume = {8},
    number = {2},
    pages = {30-43},
    year = {2014},
    issn = {1994-5396},
    doi = {erj.2014.30.43},
    url = {https://makhillpublications.co/view-article.php?issn=1994-5396&doi=erj.2014.30.43},
    author = {Francis,Moses,Oliver Vivian and},
    keywords = {Climate variables,Mann-Kendall,trend analysis,non-parametric tests,Kenya},
    abstract = {Scrutiny of seasonal, monthly and inter-annual temporal and 
  spatial variability of rainfall and temperature in a changing climate is vital 
  to assess climate-induced changes and suggest adequate future adaptation strategies 
  for vulnerable communities in arid and semi-arid environments. This present 
  study focused on temporal trends analysis of in-siturainfall and temperature 
  record for Lodwar in Turkana County, Kenya using non-parametric Mann-Kendall 
  test statistic (Z) at 5% significance level. The datasets used were rainfall 
  (1950 to 2012) and temperature (1979 to 2012). The findings showed that the 
  highest and lowest annual rainfall recorded was in 1982 (725.1 mm) and 1984 
  (54.2 mm), respectively while the month of December in 1961 was the highest 
  single monthly rainfall (197.7 mm). Further results revealed that among the 
  seasons, a notice able decrease of rainfall was observed in March to May (MAM) 
  and slight increase in October to December (OND) based on trends analysis, though 
  one of the seasons was statistically significant at 95% confidence interval. 
  January recorded the highest mean monthly temperature of 36.97°C while December 
  had the lowest 20.22°C. All the seasonal maximum and minimum temperature 
  trends were statistically significant. In overall, the findings demonstrated 
  that a significant rise in both maximum and minimum temperatures occurred between 
  1979 and 2012 and this is in line with recent trends of global warning as reported 
  by the latest Intergovernmental Panel on Climate Change (IPCC) report. The significance 
  of these findings is that it could support various policy makers and development 
  partners working in Kenya arid and semi-arid environments to see, on a local 
  scale what temperature changes are being observed and to aid in better planning 
  for a changing climate.}
    }