Kernel-based storm tracking in radar data
The tracking of storm centres in radar data is of particular importance for short term weather prediction and specifically thunderstorm prediction. This paper presents a method to track storm centres in terrestrial radar images. Mean shift segmentation is used to outline storm centres and mean shift tracking to locate the storm in the consecutive images. Results demonstrate the ability of the method to deal with deformable objects such as storm centres. Moreover, the method is able to handle the splitting and merging of the convective cells.