2:30 PM - 2:45 PM
[MIS06-04] Prediction Method of Typhoon Intensity Development Using Lightning Data
Keywords:lightning, typhoon, intensity prediction
Recent studies revealed that there is clear relation between the lightning occurrence number in typhoon clouds and the typhoon intensity changes. This fact implies that the lightning data can be a good proxy for the future short-term prediction of the typhoon intensity development. The main goal of this study is to establish such short-term prediction method using lightning data. For this purpose, we analyzed lightning data obtained by the network of the automatic weather and lightning observation system (V-POTEKA) in the western north Pacific. We also analyzed the wind field near typhoon center using the fifth generation ECMWF reanalysis (ERA5) data. From the ERA5 data, we estimated the average inflow velocity which is the wind velocity flowing from the outer edge of typhoon cloud (~500 km) to the typhoon eyewall (~50 km). Using this result and newly proposed short-term prediction method using lightning data, we performed the hindcast experiment for 48 typhoon cases in 2018-2020. From this experiment, the predicted intensity was found to closely match the observed typhoon intensity development in many cases. At the presentation, we will show the prediction method and results derived from the hindcast experiments in detail and discuss the usefulness and limitations of the current prediction method.