In this work, we propose an interactive approach for visual analysis of weather trends and forecast errors in short-term weather forecast simulations. Our solution consists of a multi-aspect system that provides different methods to visualize and analyze multiple runs, time-dependent data, and forecast errors. A key contribution of this work is the comparative visualization technique that allows users to analyze possible weather trends and patterns. We illustrate the usage of our approach with a case study designed and validated in conjunction with domain experts.