Radar data and upper air sounding data were analyzed to understand the origin, structure, propagation and convective development of SSLs. Idealized and semi-idealized COAMPS®* model simulations were carried out to identify what environmental parameters affect SSLs. Ensemble Kalman Filtering technique was applied to assimilate the radar data in order to improve the initial mesoscale trigger of SSLs in these simulations. Additionally, a real-time forecast system built from COAMPS (which uses the Multivariate Optimal Interpolation technique for data assimilation) has been implemented. Twice daily weather forecasts in Southeast Asia were made routinely at 81 km, 27 km and 9 km horizontal resolutions. The strength and limitation of the forecast system in predicting SSLs was evaluated in the real-time context.
*COAMPS stands for Coupled Ocean/Atmosphere Mesoscale Prediction System. COAMPS is a registered trademark of the US Naval Research Lab.