May 2003 Disaster in Sri Lanka and Cyclone 01-B in the Bay of Bengal

Heavy rainfall deluged South-Western Sri Lanka between the 11th and19th of May 2003 and led to its worst disaster in 50 years. Floods andlandslides claimed 260 lives. The World Meteorological Organizationcited it as evidence for the increase of anomalous climatic extremes inrecent years. Here, a meteorological analysis is presented of this disasteras part of a sustained effort to undertake meteorological applications fordisaster management. There were intense low-level westerlies over SriLanka related to cyclone 01-B that made its way across the Bay of Bengalat least 700 km away. The southeastwardly traverse of the cyclone wasstalled for a few days by anomalous north-westerly geostrophic windsver South Asia. Here, it is argued that orographic rainfall induced bythis stalled cyclone and seasonal inter-tropical convergence zone cloudbands over Sri Lanka led to the deluge. The trajectory of the cyclone wasremote from Sri Lanka and this led to no cyclone hazard warnings beingissued. No cyclones have made landfall in Sri Lanka in May in the last100 years. This study shows that one must exercise vigilance not only inthe path of the cyclone but also remotely due to the modulation of thecyclone by other atmospheric phenomenon and topographic features.This flood may have been predicted with contemporary local area weatherprediction models and this example points to the need for the developmentof local area weather prediction models as part of disaster warning systems.This study also demonstrates the use of meteorological diagnostics forpost-event analysis of hydrometeorology of disaster events.     

Sensitivity of Kelani streamflow in Sri Lanka to ENSO

As part of an effort to demonstrate the use of climate predictions for water resources management, the El Niño/Southern Oscillation (ENSO) influences on stream flow in the Kelani River in Sri Lanka were investigated using correlation analysis, composite analysis and contingency tables. El Niño (warm phase of ENSO) was associated with decreased annual stream flow and La Niña (cold phase of ENSO) with increased annual flows. The annual stream flow had a negative correlation with the simultaneous ENSO index of NINO3·4 that was significant at the 95% level. This negative correlation is enhanced to a 99% level if the aggregate January to September or the April to September stream flow alone were considered. Although, there is little correlation between ENSO indices and stream flow during the October to December period, there is a high correlation between rainfall and NINO3·4 (r = 0·51, significant at the 99% level). Therefore ENSO based rainfall predictions can be used along with a hydrological model to predict the October to December stream flow. This study demonstrates the viability of using ENSO based predictors for January to September or April to September stream flow predictions in the Kelani River. The October to December stream flow may be predicted by exploiting the strong relationship between ENSO and rainfall during that period. Copyright © 2003 John Wiley & Sons, Ltd.     

The role of soil moisture initialization in subseasonal and seasonal streamflow prediction – A case study in Sri Lanka

The two main contributors to streamflow predictability at subseasonal to seasonal timescales in tropical regions are: (i) the predictability of meteorologic (particularly precipitation) anomalies, and (ii) the land surface soil moisture state at the start of the forecast period. Meteorological predictions at subseasonal timescale are usually fraught with error and may not be dependable. The accurate initialization of soil moisture, as obtained through real-time land data analysis, may provide skill in subseasonal to seasonal streamflow prediction, even when the prediction skill for rainfall is small.