Mesoscale convective system tracking in satellite thermal infrared images

摘要

In the field of meteorology, mesoscale convective systems are required to be distinguished, tracked, and their lifecycle to be observed, for precipitation forecasting. Mesoscale convective systems are easily identifiable from satellite infrared images. There are several existing techniques like temperature induced mean based cloud motion prediction model, for identification and tracking of cloud structures from a series of thermal infrared images. This technique has been previously implemented for tracking of single and then multiple cloud clusters. In this study, temperature induced mean based cloud motion prediction model has been deployed for tracking and predicting the motion of an entire convective system.