Detection of Rapidly Developing Convection Using Rapid Scan Data from the FY-2F Satellite

Convection initiation marks the commencement of intense convective weather patterns and is a pivotal element for short-term forecasting. The horizontal migration of clouds often impacts the efficacy of convective initiation detection algorithms. A novel algorithm leveraging satellite imagery has been introduced to detect rapidly developing convection based on the rapid cooling rate at cloud tops. This algorithm harnesses high temporal resolution 6-minute fast scan data from the FY-2F satellite and incorporates a filter with three testing criteria to enhance detection accuracy. The algorithm effectiveness was validated through comparing with data of infrared (IR) channels and water vapor channels and with radar data. Experimental results indicate a probability of detection (POD) of 0.90, a false alarm rate (FAR) of 0.12, and a critical success index (CSI) approximating 0.81. Therefore, the proposed algorithm offers a valuable reference for predicting and warning of severe convective weather events.