keywords: Air temperature, climate variability, relative humidity
This work examines the year to year and month to month variability of relative humidity and air temperature in Kano and Port-Harcourt, Nigeria. Thirty-four (34) years data of relative humidity and air temperature were sourced from the archives of the International Institute of Tropical Agriculture (IITA) Ibadan, Oyo State, Nigeria. A descriptive statistic such as the mean and its 95% confidence interval were determined for each climatic parameter. For each station, the 95% confidence interval for the monthly mean of each parameter shows with 95% certainty that the mean lies in the established interval. The One-way Analysis of Variance (ANOVA) was employed in checking whether the variability in the climatic parameters is affected by season. This was done by comparing the monthly mean of each parameter for each station. The comparison revealed a significant difference in the means (p<0.05) for each parameter in each station showing a seasonal effect. Using graphical method, the study revealed a year to year and a month to month variability in the climatic parameters. The year to year and month to month variability pattern of relative humidity and air temperature is the same in Port Harcourt showing a direct relationship between the two parameters. In Kano, the pattern shows that when air temperature is increasing, relative humidity is decreasing and vice versa showing an inverse relationship. Since saturation vapour pressure relates inversely to relative humidity, then it can be inferred that the Claussius-Clapeyron equation establishes an inverse theoretical relationship between relative humidity and air temperature. It was established in this work that the equation confirms this relationship for the city of Kano but negates it for the city of Port Harcourt. Why is this so? The researchers were able to harness the climatic features of each city in answering this question. They finalized that the climatic features of a place as it affect relative humidity and air temperature determines whether the place upholds the established behavior of the Claussius-Clapeyron Equation or not.
Adekola F 2014.Climate Change and the Environment. National Open University of Nigeria ISBN: 978-058-943-0. BakriHH&Abou-Shleel SM 2013. Economic impacts of climatic changes on some vegetable crops in Egypt. World J. Agric. Sci., 9(4): 361-368. Berner W, Oeschger H & Stauffer B 1980.Information on the CO2 cycle from ice core studies.Radiocarbon, 22: 227–235. CallendarGS 1938.The artificial production of carbon dioxide and its influence on temperature.Q. J. R. Meteorology. Soc., 64: 223–237. Capparelli V, Franzke C, Vecchio M, Freeman MP, Watkins NW & Carbone V 2013. A spatiotemporal analysis of U.S. station temperature trends over the last century. J. Geophy. Res.: Atmosphere, 118: 1-8. Chiadikobi KC, Omoboriowo AO, ChiaghanamOI, Opatolo AO &Oyebanji O 2011. Flood Risk Assessment of Port Harcourt, River State, Nigeria. Advances in Appl. Sci. Res., 2(6): 287-298. Cinco TA, Guzman RG, Hilario FD & Wilson DM 2014. Long-term trends and extremes in observed daily precipitation and near surface air temperature in the Philippines for the period 1951–2010. Atmospheric Res., 145(146): 12–26. EasterlingDR, Wallis TWR, LawrimoreJH& Heim RR 2007. Effects of temperature and precipitation trends on US drought.Geophys Res. Lett, 34(20). Emalkwu SO 2010.Fundamentals of Research Methods and Statistics.Selfers Academic Press Limited, Makurdi, pp. 224-241. FranceyRJ, and Farquhar GD 1982. An explanation of C-13/C-12 variations in tree rings. Nature, 297: 28–31. GroismanPY, Knight RW, Karl TR, EasterlingDR, Sun BM &LawrimoreJH 2004. Contemporary changes of the hydrological cycle over the contiguous United States: Trends derived from in situ observations. J. Hydrometeorol, 5(1): 64-85. Jaiyeoba IA 2002. Environment in Africa Atlases: Nigeria. Les Edition, Paris, pp. 22-123.Neftel A, Moor E, Oeschger H & Stauffer B 1985. Evidence from polar ice cores for the increase in atmospheric CO2 in the past 2 centuries.Nature, 315: 45–47. Machida T 1995. Increase in the atmospheric nitrous oxide concentration during the last 250 years. Geophys. Res. Lett., 22: 2921– 2924. Mangodo C, Mangodo BO &Ogboru RO 2014. Global Warming and Air Temperature Anomalies in the Niger Delta Region of Nigeria, International Journal of Science and Research (IJSR), 1352-1355. Minia Z 2008. Ghana Climate Change Impacts, Vulnerability and Adaptation Assessments, Environmental Protection Agency, Accra, Ghana, pp. 2-13. MurryLS 2012.Physics of the Atmosphere and Climate.Cambridge University Press, pp. 127-146. Poulter B, Pederson N, Liu H, Zhu Z, D’Arrigo R, Ciais P, Davi N, Frank D, Leland C, Myneni R, Piao S & Wang T 2013. Recent trends in Inner Asian forest dynamics to temperature and precipitation indicate high sensitivity to climate change. Agricultural & Forest Meteorology, 178(179): 31–45. Steele LP, Francey RJ, Dick AL & Derek N 1996. Atmospheric methane, carbon dioxide, carbon monoxide, hydrogen, and nitrous oxide from Cape Grim air samples analyzed by gas chromatography. Bureau of Meteorology and CSIRO Division of Atmospheric Research, Melbourne, Australia, pp. 107–110. Tubiello F 2012. Climate Change Adaptation and Mitigation: Challenges and Opportunities in the Food Sector. Natural Resources Management and Environment Department, FAO, Rome, p. 150. Weiss RF 1981. The temporal and spatial distribution of tropospheric nitrous oxide.J. Geophy. Res., 86: 7185–7195.