The researchers used a method called Ensemble Kalman Filter to improve weather forecasting by assimilating observed data into a computer model. They tested this method using a mesoscale model and found that the forecasts using Ensemble Kalman Filter were better than those using another method called 4D VAR. Specifically, the forecasts with Ensemble Kalman Filter showed improved rainfall predictions, wind patterns, and temperature accuracy.