Health health impact assessment relevant output calculated from scenarios involving different levels of Near Term Climate Forcer mitigation

This dataset contains output data from the health impact assessment using air pollutant concentrations from AerChemMIP model experiments in different Future Scenarios that involve the mitigation of Near-Term Climate Forcers, Climate and Land-use. The model experiments were conducted by UKESM1, a model contributing to CMIP6, and was run over the period 2015 to 2100 to investigate the effect of anthropogenic emissions on near-term climate forcers. The atmosphere only CMIP6 configuration of UKESM1 was used to run this set of experiments. Model simulations were conducted at a global resolution of 1.875° x 1.25°. These concentrations were then used to assess the impact of different mitigation pathways on the air pollution health burden. In addition, output is also provided from sensitivty scenarios that explore the impact that the total population count, age structure of the population and baseline mortality rates have on the calculated air pollution health burden.

Outputs provided in the dataset include 10 year means of the global and regional total population count data, population weighted pollutant concentrations (both annual mean PM2.5 and seasonal maximum ozone concentrations), total adult human health mortality (including the upper and lower 95% confidence intervals) in response to exposure to PM2.5 and O3 for different sensitivity scenarios.

The second file (GEMM-5COD) represents the same set of calculations and data but using a different set of mortality outcomes (5 specific causes of disease) for PM2.5 exposure instead of non-accidential mortality (non-communicable disease) and all lower respiratory infections (GEMM NCD+LRI) in the original set of calculations.Further details can be found in the accompanying publication that uses the data.