A Short Term Cloud Tracking Model Based on the Bruhn Optical Flow Method

The recently developed Bruhn optical flow method has been found to improve imagery analysis results but has yet to be tested for cloud tracking purposes. We propose a cloud tracking model that is based on the Bruhn method and compare its performance with models based on more conventional optical flow methods. For lead-times spanning from 5s to 600s, the Bruhn based model has a comparable tracking accuracy when contrasted with current methods yet achieves a better than 30% improvement in computing processing time. We conclude that the Bruhn method represents a promising method for use in cloud tracking models.