Decision-grade climate-risk science makes its data provenance, assumptions, methods, and validation logic visible rather than opaque. A key distinction is that trustworthy outputs depend not only on resolution or presentation quality but also on transparent documentation, reusable workflows, and inspectable model records (Pollack et al., 2026; Coupled Model Intercomparison Project [CMIP], n.d.). For decision-makers, this standard supports better underwriting, capital planning, adaptation, and disclosure because users can evaluate what the model does, where the data come from, and where the model’s limitations lie (Pollack et al., 2026; CMIP, n.d.).
References
- Pollack, A. B., Auermuller, L., Burleyson, C. D., Campbell, J., Condon, M., Cooper, C., Coronese, M., Dangendorf, S., Doss-Gollin, J., Hegde, P., Helgeson, C., Kopp, R. E., Kwakkel, J., Lesk, C., Mankin, J., Nicholas, R. E., Rice, J., Roth, S., Srikrishnan, V., … Keller, K. (2026). Unlocking the benefits of transparent and reusable science for climate risk management. Proceedings of the National Academy of Sciences of the United States of America, 123(3), Article e2422157123. doi:10.1073/pnas.2422157123.
- Coupled Model Intercomparison Project. (n.d.). CMIP model and experiment documentation.