An analysis of the variability and predictability of seasonal mean max
imum temperature over South Africa is conducted. Possible relationship
s between global scale sea-surface temperature fields and seasonal mea
n maximum temperature over South Africa are sought by means of a stati
stical technique, namely 'singular value decomposition'. Associations
between sea-surface temperature and seasonal mean maximum temperature
over South Africa are evident. In particular, associations between El
Nino/Southern Oscillation related signals and seasonal mean maximum te
mperature over the eastern half of the country were found. Also, the l
ong-term warming trend in the ocean temperatures has important influen
ces on the temperature variability over South Africa. In this study ca
nonical correlation analysis is used to construct a forecast scheme fo
r the prediction of seasonal mean maximum temperature over South Afric
a at different lead times. Evolutionary patterns in the ocean temperat
ure field are used as predictors from which categorical seasonal mean
maximum temperatures for 77 stations in South Africa are predicted. Ca
tegorical seasonal mean maximum temperatures are predicted and evaluat
ed for an independent test period to verify the skill and therefore us
efulness of such predictions. (C) 1998 Royal Meteorological Society.