Abstract:
This  study  investigated  the  characteristics  and  changes  in  September-November  (SON) 
rainfall over Uganda. The dominant mode of variability of  SON rainfall was identified by performing 
Empirical orthogonal functions (EOF) analysis, using rainfall data from Climate Research Unit (CRU) 
for  the  period  1901  to  2013.  Results  indicate  that  the  dominant  mode  of  variability  of  SON  rainfall 
exhibits  a  unimodal  pattern,  explaining  50.2%  of  the  total  variance.  Mann-Kendall  analysis  was 
deployed  to  examine  sudden  changes  in  SON  rainfall  over  the  country.  The  findings  show  that  the 
abrupt change in SON rainfall occurred in 1994. Further analysis reveal that SON rainfall over Uganda 
has a correlation pattern with the sea surface temperature (SST) over Indian, which depicts the positive 
phase  of  the  Indian  Ocean  Dipole  (IOD).  Positive  correlation  is  exhibited  in  the  western  IOD  sub-region,  while  negative  correlation  is  shown  in  the  southeastern  IOD  sub-region.  Further  study  of  the 
both driest and wettest years during the investigated time span indicate that throughout the wettest year, 
there  were  positive  anomalies  in  the  western  sub-region,  contrary  to  the  driest  year,  when  same  sub-region  observed  distinct  negative  anomalies.  This  illustrates  that  the  positive  phase  of  IOD  enhances 
SON rainfall over Uganda, as opposed to the negative phase which inhibits SON rainfall. The evolution 
of the IOD can therefore be monitored for the improvement of SON rainfall forecasts, especially over 
Uganda so as to avoid the losses associated with weather extremes.