Abstract
The development of innovative insurance products for agriculture is gaining increasing attention as climate change intensifies the frequency and severity of extreme weather events. Traditional agricultural insurance models, primarily based on historical yield data and indemnity-based mechanisms, struggle to keep pace with emerging climate risks such as prolonged droughts, heatwaves, and erratic precipitation patterns. Recognising this challenge, the IMPETUS project undertook a comprehensive analysis of agricultural insurance data through task 4.14. The research team examined eight years of comprehensive insurance records provided by ITAS, including both claims and policy data. The analysis proceeded in two phases: first, an exploratory examination of claims and policy patterns to identify loss trends and geographic concentrations of claims; second, a correlation analysis linking precipitation-related losses to a composite risk index that combined hazard factors (accumulated rainfall) with vulnerability factors (crop-specific qualitative assessments).