Global Wildfire Impacts on Air Quality and Human Health under Future Climate Scenarios

Use Case Name 

Probabilistic modelling of wildfire-related health threats under future warming.

Dataset Name

Global Wildfire Impacts on Air Quality and Human Health under Future Climate Scenarios.

Dataset Description 

Global gridded projections of wildfire-related burned area, PM2.5 concentrations, and associated mortality under the SSP2-4.5 scenario for the late 21st century (2095–2099 mean). Burned area is provided at 2° × 2.5° resolution in Mha per grid cell. Surface PM2.5 concentrations are provided at 0.1° × 0.1° resolution for simulations with and without fire emissions, enabling attribution of fire-related PM2.5 exposure. Fire-induced PM2.5-related mortality is also provided at 0.1° × 0.1° resolution as deaths per grid cell, together with 95% confidence intervals. The dataset supports evaluation of future wildfire impacts on air quality and human health.

Temporal Domain 

2095-2099

Spatial Domain 

Global

Key Variables 

Wildfire, PM2.5, health risk

Data Format 

Netcdf

Source Data 

Burned area projections, PM₂.₅ concentrations, population data, and fire-attributable mortality estimates derived from the modelling framework described in Zhao et al. (2025).

Limitations/ Assumptions 

Data represent multi-year mean conditions for future SSP scenarios and are subject to uncertainties in climate projections, fire modelling, PM₂.₅ simulations, population assumptions, and health impact functions.