All the climatological, topographical, and meteorological raw data we use come from different climate scenarios and re-analysis data, openly accessible outputs. We process the raw data with accurate engineering approaches and scientific references, converting them into formats that make sense for risk scoring or directly meet the needs of the asset owner.
For all our users, whether acquiring products or providing direct services, we convert the data into a high-resolution format as closely tailored to their geography as possible on a country-by-country basis. By enhancing resolution through nesting, the data, especially concerning climate models, delves much more profoundly into topographic details, capturing even the most critical details. For instance, low-resolution data may only become meaningful at a resolution detail of 1 km² or 100 m².
The geography of each country we begin servicing can vary. Classifying the risk scoring of the country internally is a much more accurate approach, given that asset locations are dispersed in different places. We can verify that climate data models produced on a global scale provide more detailed and realistic outputs for each country, which we can validate with measurement data.