Please use this identifier to cite or link to this item: https://repository.seku.ac.ke/handle/123456789/1756
Title: Rainfall characteristics over Togo and their related atmospheric circulation anomalies
Authors: Ongoma, Victor
Batebana, Kpaikpai
Ogwang, Bob A.
Sein, Zin Mie M.
Ogou, Faustin K.
Ngarukiyimana, Jean P.
Keywords: Atlantic Ocean
Rainfall
Empirical Orthogonal Function
Forecasting
Togo
Issue Date: 2015
Citation: Journal of Environmental and Agricultural Sciences; 2015. 5:34-48
Abstract: This study attempts to reveal features of rainfall over Togo, in relationship to theprevailing atmospheric circulation. The study employed correlation analysis and composite analysis in the analysis of rainfall, sea surface temperature, wind, and humidity. Empirical orthogonal functions (EOF) analysis was employed in this study. The years: 1989, 1991, 1995, 2003 and 2007 were identified to be anomalously wet years while 1982, 1983, 1990, 1992, 2001 and 2006 fall in the anomalously dry years’ category. The dominant mode of variability exhibits a dipole pattern, and explains 36% of the total variance. The rainfall was robustly correlated to Southern Atlantic Ocean Dipole (SAOD). The predominant wind flow over the country is westerly. Wet years were associated with anomalous low pressure area over Togo as opposed to the dry years which exhibited an anomalous high pressure area in the same region at low level. The results from this study provided basic climate information on Togo’s rainfall. The SAOD can be further investigated of how it can be factored into seasonal rainfall forecasting over Togo. Accurate and timely rainfall forecasting will help to minimize the devastating impacts associated with anomalous rainfall in the region.
URI: https://www.researchgate.net/publication/282730103_Rainfall_Characteristics_over_Togo_and_their_related_Atmospheric_circulation_Anomalies#full-text
http://repository.seku.ac.ke/handle/123456789/1756
ISSN: 2313-8629
Appears in Collections:School of Agriculture, Environment, Water and Natural Resources Management (JA)

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