Here, we present preliminary results expanding the social cost of carbon to include health impacts from fine particulate matter (PM2.5) due to wildland fires globally through 2100. We first simulate future fire-related carbonaceous emissions under different Representative Concentration Pathways (RCPs) using a fire-land surface model driven by atmospheric conditions from several earth system models. We then estimate PM2.5 concentrations from these emissions using emission-to-concentration sensitivities simulated with the adjoint of the GEOS-Chem chemical transport model. We apply these estimated PM2.5 concentrations in a health impact assessment using epidemiologically-derived concentration-response functions to estimate the number and monetized value of premature deaths attributable to wildland fire PM2.5 at global and national levels. Finally, we transform the RCP-specific damages to a scenario-agnostic metric (i.e., per degree warming) for consistency with other damage pathways in social cost of carbon estimates from the Greenhouse Gas Impact Value Estimator model.
Our results illuminate the future impacts of fire-sourced air pollution on premature mortality and update the social cost of carbon to incorporate the monetary value of these damages. The updated social cost of carbon estimates can be incorporated into policymaking tools used to evaluate potential climate policies.

