Climate Variability and Change—Hydrological Impacts (Proceedings of the Fifth FRIEND World Conference held at Havana, Cuba, November 2006), IAHS Publ. 308, 2006, 362–368.


 

Influences of ENSO and SST variations on the interannual variability of rainfall amounts in southern Africa

 

PATRICK VALIMBA1, PIERRE CAMBERLIN2, YVES RICHARD2, ERIC SERVAT3 & DENIS HUGHES4

 

1      Department of Water Resources Engineering, College of Engineering and Technology, University of Dar Es Salaam, PO Box 35131, Dar Es Salaam, Tanzania

pvalimba@hotmail.com

2      UMR 5080 CNRS Centre de Recherches de Climatologie, Université de Bourgogne, 6 Bd Gabriel, F-21 000 Dijon, France

3      IRD, UMR HydroSciences, Maison de Sciences de l’Eau, Université Montpellier II, BP 64501, F-34394 Montpellier cedex 5, France

4      Institute for Water Research, Rhodes University, PO Box 94, Grahamstown 6140, South Africa

 

Abstract Relationships between southern Africa rainfall, the El Niño-Southern Oscillation (ENSO) and sea surface temperatures (SSTs) were investigated. Principal Components Analysis (PCA) on rainfall amounts established coherent regions. Results of correlation analysis between rainfall and the Southern Oscillation Index (SOI) and regional SST anomalies indicated strong influences of ENSO and the Tropical Indian Ocean and moderate influences of the Southwest Indian Ocean. The ENSO influence was consistently, moderately negative in equatorial Southern Africa during October–January, strongly positive in the Tropical/Subtropical areas during February–April and highest for light and moderate events in the south and for intense events in the north. SSTs in the Tropical Indian Ocean influence light and moderate events, while SSTs close to the region influence heavy events. Sliding correlations indicated changing rainfall–SOI/SST relationships in the mid-1950s which improved the associations, and since the early-1970s which deteriorated or reversed the relationships.

 

Key words  rainfall variability; ENSO; SST; Principal Components analysis; correlation analysis