New research has found that floods and landslides in Sri Lanka could be better predicted by applying weather forecasting techniques currently used in India. The island is extremely vulnerable to floods and landslides caused by heavy rainfall. In May 2017 more than 150 people were killed in flooding triggered by monsoon rains.
Led by Dr Akshay Deoras, a research scientist at the University of Reading (UK), and published in Geophysical Research Letters, the study expands the list of countries the university is supporting in its research and highlights the importance of studying extreme weather in Sri Lanka.
Dr Deoras said, “Sri Lanka has largely been ignored by researchers despite being extremely vulnerable to catastrophic floods and extreme weather events, which are likely to intensify in the future due to climate change. Our study is the first to show that techniques already being used to improve weather forecasting in India can be used effectively in Sri Lanka as well. We have identified specific wind patterns that are most responsible for triggering extreme rainfall in Sri Lanka.”
The study found extreme rainfall in Sri Lanka occurred most frequently during the northeast monsoon (December-February) and second intermonsoon seasons (October-November). In contrast, the amount of rainfall was very small in weather patterns associated with the southwest monsoon (May-September) and first intermonsoon (March-April) seasons.
Using multiple data sets, the research team also investigated the link between extreme rainfall in Sri Lanka, weather patterns and the Madden-Julian Oscillation (MJO). The MJO is an eastward moving band of clouds and rainfall over the equatorial Indian Ocean and the western Pacific Ocean, which influences the weather in the tropics. The researchers found that the location of the MJO is important in determining whether a weather pattern will trigger extreme rainfall in Sri Lanka. The likelihood of extreme rainfall in some weather patterns was considerably larger when the MJO was located over the Indian Ocean. It decreased by over 90% in the same weather patterns when the MJO was located over the western Pacific Ocean.
Leading weather prediction models can accurately predict the location of the MJO a week or so in advance. It is hoped the findings from this study will enhance the predictability of extreme rainfall in Sri Lanka given its link with the MJO.
