Accurate and granular weather data is key to providing effective parametric insurance coverage that minimizes basis risk. A large client contracted Peak HydroMet to evaluate several reanalysis models to identify the most appropriate for agricultural index insurance in Canada. Model results were compared with high-quality station observations to determine the strength and weaknesses of each model. The best options were identified. As expected, the performance of each model varied by geographic area.
