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The tenth IMSC, Beijing, China, 2007 - International Meetings on ...

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Parallel Sessi<strong>on</strong>s:Regi<strong>on</strong>al Studies<br />

Spatio-Temporal Variability of the Sea Surface Temperature of the Gulf of Guinea and Its<br />

Implicati<strong>on</strong> for Coastal Precitati<strong>on</strong> in Nigeria<br />

Speaker: Ediang Okuku Archib<strong>on</strong>g<br />

Ediang Okuku Archib<strong>on</strong>g.<br />

World Maritime University, Malmo, Sweden<br />

Dr.T.Odekunle<br />

Department of Geography Obafemi Awolowo University, Ile-Ife, Nigeria<br />

A.O Eludoyin<br />

Department of Geography Obafemi Awolowo University, Ile-Ife, Nigeria<br />

A.A Ediang<br />

World Maritime University, Malmo Sweden<br />

This study described and discussed the spatio-temporal variability of the sea surface<br />

temperature (SST) of the Gulf of Guinea and its implicati<strong>on</strong> for the coastal precipitati<strong>on</strong> in<br />

Nigeria between 1950 and 1998. <str<strong>on</strong>g>The</str<strong>on</strong>g> specific objectives of the study include: (a) examining<br />

the spatio-temporal variability in the mean annual sea surface temperature over the Gulf of<br />

Guinea between 1950 and 1998; (b) examining the spatio-temporal variability in the mean<br />

mid-summer (July, August and September) sea surface temperature over the Gulf of Guinea<br />

between 1950 and 1998; (c) identifying the areas of the Gulf of Guinea in which the sea<br />

surface temperature is below the latitudinal average over the period of study; (d) identifying the<br />

areas of the Gulf of Guinea in which the sea surface temperature temporal variability is above<br />

the latitudinal average over the period of study; and (e) discussing the implicati<strong>on</strong>s of the<br />

pattern of the variability of the sea surface temperature in the Gulf of Guinea for coastal<br />

precipitati<strong>on</strong> in Nigeria. <str<strong>on</strong>g>The</str<strong>on</strong>g> data used for the study are the mean m<strong>on</strong>thly SST at specific<br />

locati<strong>on</strong>s in the Gulf of Guinea. <str<strong>on</strong>g>The</str<strong>on</strong>g> data were obtained from the <str<strong>on</strong>g>Internati<strong>on</strong>al</str<strong>on</strong>g> Research<br />

Institute for Climate Predicti<strong>on</strong>. <str<strong>on</strong>g>The</str<strong>on</strong>g> specific locati<strong>on</strong>s where data were collected to represent<br />

the Gulf of Guinea are L<strong>on</strong>gitudes 100W, 80W, 60W, 40W, 20W, 00, 20E, 40E, 60E, and 80E<br />

and Latitudes 50N, 30N, 10N, 10S, 30S, and 50S.<br />

<str<strong>on</strong>g>The</str<strong>on</strong>g> statistical analytical procedures employed to summarise and make inferences <strong>on</strong> the<br />

data include: (a) K-means cluster analyses; (b) Coefficient of variati<strong>on</strong>; and (c) Integrated Land<br />

and Water Informati<strong>on</strong> System (ILWIS) software (versi<strong>on</strong> 3.2 Academic). <str<strong>on</strong>g>The</str<strong>on</strong>g> K-means cluster<br />

analysis was employed to classify the SST into groups. <str<strong>on</strong>g>The</str<strong>on</strong>g> coefficient of variati<strong>on</strong> was used to<br />

determine the degree of the SST variability over time, while the ILWIS was employed to map<br />

the spatio-temporal variability in the SST.<br />

Results from the study reveal that the SST of the Gulf of Guinea is generally colder<br />

between L<strong>on</strong>gitudes 80W and 20E. <str<strong>on</strong>g>The</str<strong>on</strong>g> temperature anomaly which appears most noticeable<br />

during the m<strong>on</strong>ths of July-August-September is also discernible in the average annual pattern.<br />

This area of the SST anomaly was also observed to experience the greatest inter-annual<br />

variability l<strong>on</strong>gitudinally. <str<strong>on</strong>g>The</str<strong>on</strong>g> results also show that while SST generally decreases from the<br />

north to the south and from east to the west, variability value generally increases from the<br />

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