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Relationship between the North Atlantic Oscillation Index and October- December Rainfall Variability Over Kenya | OMICS International | Abstract
ISSN: 2381-8719

Journal of Geology & Geophysics
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Research Article

Relationship between the North Atlantic Oscillation Index and October- December Rainfall Variability Over Kenya

Zablon W Shilenje1*, Victor Ongoma2,3 and Bob Alex Ogwang3,4
1Kenya Meteorological Service, P.O. Box 30259-00100, Nairobi, Kenya
2Department of Meteorology, South Eastern Kenya University, P.O. Box 170-90200, Kitui, Kenya
3College of Atmospheric Sciences, Nanjing University of Information Science and Technology, Nanjing, Jiangsu, 210044, P.R. China
4Uganda National Meteorological Authority, P.O. Box 7025, Kampala, Uganda
Corresponding Author : Zablon W Shilenje
Kenya Meteorological Service
P.O. Box 30259-00100
Nairobi, Kenya
Tel:
+254 20 3867880
E-mail:
[email protected]
Received: April 12, 2015 Accepted: May 07, 2015 Published: May 11, 2015
Citation:Shilenje ZW, Ongoma V, Ogwang BA (2015) Relationship between the North Atlantic Oscillation Index and October- December Rainfall Variability Over Kenya. J Geol Geosci 4: 207. doi:10.4172/2381-8719.1000207
Copyright: ©2015 Shilenje ZW, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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Abstract

Rainfall performance and variability are the major problems that affect many socio-economic activities in Kenya. This study investigates the relationship between the North Atlantic Ocean Oscillation (NAO) Index and October – December (OND) rainfall variability over Kenya. Rainfall, wind, geopotential height, temperature, moiture transport and NAO Index (NAOI) values for the period 1961 - 2010 are investigated. The region experiences rainfall that is highly variable in space and time; with the country generally experiencing bimodal rainfall. There is an insignificant negative correlation between the OND rainfall and NAOI over most parts of the country except for the Lake Victoria region that experiences significant correlation at 90% significance level. The study recommends further research on how the NAOI can be used as a predictor for OND seasonal rainfall over the lake region.

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