Data Enhancement and High-Resolution Nowcasting for Single Solid-State Weather Radar

At Meteopress, we integrate advanced computational techniques into our solid-state weather radar systems through the AI-REN software package. This package offers state-of-the-art radar data enhancement and high-resolution nowcasting capabilities, designed for seamless compatibility with any of our solid-state radars.In this poster, we present a case study on the implementation of AI-REN at the Tonga radar. Specifically, we focus on two key modules: AI-REN Infill and AI-REN Nowcasting. The AI-REN Infill module effectively addresses the issue of blocked beams by filling in gaps in radar data, ensuring comprehensive and accurate radar coverage. Meanwhile, AI-REN Nowcasting provides high-resolution weather forecasting for up to 90 minutes ahead, with updates every 5 minutes, enabling precise and timely predictions.We evaluate the performance of the nowcasting module, highlighting its accuracy and reliability in various weather scenarios. Additionally, a qualitative analysis of the enhanced radar data demonstrates the significant improvements in data quality and radar coverage achieved by the AI-REN Infill module. This study underscores the effectiveness of the AI-REN software package in enhancing the capabilities of solid-state weather radar systems, offering a powerful tool for meteorologists and weather-dependent industries.