Use of Global Sea Surface Temperatures (SSTs’) in Rainfall Prediction in Dry Sudan

Tarig El Gamri, Amir Bakheit Saeed, Abdalla Khiyar Abdalla

Abstract


The monthly rainfall data for four meteorological stations (Kassla, Khartoum, Fashir and Obied) representing the dry zone in Sudan were collected from the data bank of the Sudan Meteorological Authority (SUMA). Means were taken to represent the region. May and June global sea surface temperatures (SSTs) were used in rainfall seasonal forecast through the development of empirical-statistical models. The models were developed using Excel, Climlab2000 and SYSTAT8.0 soft wares. Kassala and Khartoum were found to achieve the highest and lowest predictabilities respectively. In addition to that, May SSTs achieved better predictability than that produced by June SSTs for Kassala rainfall. The study recommended that awareness is to be raised on the potential uses of rainfall forecast information in the different sectors.

Keywords


Dry;r ainfall ;p rediction; SSTs’

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