Abstract:
Seasonal rainfall in Sri Lanka is subjected to higher inter-annual variability in recent
decades, leading to inherent problems in the socio-economic environments of the country.
Therefore, it has become essential for the identification of possibility to predict the seasonal
rainfall variability of the country in advance. It has been identified that the El- Nino
Southern Oscillation (ENSO) phenomenon is the most important key to the inter-annual
variability of the tropical region. Predictions of ENSO indices are available 3 -6 months in
advance. This study focused on assessing the possibility of predicting excessive conditions
of seasonal rainfall in Sri Lanka using the two extremes of the ENSO phenomenon; E l -
Nino and La-Nina events. Both excessive wet and dry conditions of seasonal rainfall were
compared with multiple ENSO events which occurred during the period of 1951 -2010. The
standardized precipitation index (SPI) was computed from seasonal rainfall based on four
rainy seasons prevailing in the country to identify the excessive wet and dry conditions.
The study was confined to 23 administrative districts of the country. A binomial probability
test called 'BINOMDIST' was used to determine possible statistically significant
relationship between the considered two variables. Results of the analyses revealed that,
excessively dry conditions during the first inter-monsoon (FIM), southwest monsoon
(SWM) and northeast monsoon (NEM) seasons were well associated with El-Nino years.
Whilst, excessive wet conditions were marked in El- Nino years during the second intermonsoon
(SIM) season in almost all the study areas. Overall, a somewhat weaker
association was found between La-Nina and excessively wet conditions. Results of the
binomial probability test showed that all the major southwest monsoon drought conditions
in Sri Lanka were observed in the El-Nino years, whilst almost all the excessive wet
conditions during the SIM season have occurred in the El-Nino years. The study found that
an extreme drought condition occurred during the SWM season in 1982 for all the study
areas. This event was well comparable with the El Nino year in 1982 which was the
strongest and most devastating event of the last century. The study also revealed that the
whole island was not influenced by the ENSO phenomenon in the same manner.
