The Effects Of East African Low Level Jet On Food Security In Horn Of Africa: A Case Study Of Coastal Region Of Kenya
Literature on rainfall variability in Eastern Africa has suggested a significant influence from local factors that control rainfall amounts and distribution in contrast to the global wind circulation systems in oceanic atmospheres. All oceans are associated with unique wind systems that reflect temp...
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Veröffentlicht in: | African journal of food, agriculture, nutrition, and development : AJFAND agriculture, nutrition, and development : AJFAND, 2010-01, Vol.9 (8) |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Literature on rainfall variability in Eastern Africa has suggested a
significant influence from local factors that control rainfall amounts
and distribution in contrast to the global wind circulation systems in
oceanic atmospheres. All oceans are associated with unique wind systems
that reflect temperature and other physical attributes of the water
masses. However, the influence of such systems on Eastern Africa has
not been investigated in conjunction with unique climatic phenomena,
including the June winds in the coastal region of Kenya. This study
involved a review of literature and the analyses of secondary data from
studies conducted in the region, including 39 years of meteorological
data. The results indicated that only two months in a year, namely
April and May, experience a positive net moisture regime. In all other
months, predicted evaporation exceeds received precipitation. The
results also suggest that the annual June winds create a cyclic
depression in rainfall amounts during the long rains season, resulting
in decreased soil moisture and therefore adverse effects on annual
field crops. The June winds, at critical stages of maize growth,
results in depressed crop yields that threaten food supply and food
security. Maize yields in the region are associated over time with
amounts of rain received during the long rains season. Cyclic patterns
indicated that a year of higher rainfall alternates with a year of
lower rainfall amounts. The study reveals that June winds causes over
95% in yield loses and suggests that the region can feed itself and
export excess grains if only appropriate technologies to counter June
winds effects are adopted. Since the occurrence of June winds is
strongly linked to the La Niña climatic phenomenon the study
suggests development of a maize yield prediction model for seasonal
forecasting based on the onset of June winds during the long rains
season. |
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ISSN: | 1684-5358 |