This study assesses how effective spatial diversification is in reducing the systemic risk implied by a market for weather index-based insurance in Spain and compares rainfall- and temperature-based policies in terms of systemic risk. Based on historical weather data, daily models which rely on the multivariate normal distribution are applied to derive greater samples. The results show that the Buffer Load, as measured by the Expected Shortfall, decreases up to 67% as the level of aggregation increases. This suggests that the trading area should not be focused on a specific county, but on Spain as a whole. Considering the highest aggregation degree, it is also shown that the diversification effect is significant, of up to 0.35. Finally, it ...