Articles | Volume 16, issue 5
Atmos. Chem. Phys., 16, 3499–3523, 2016
https://doi.org/10.5194/acp-16-3499-2016
Atmos. Chem. Phys., 16, 3499–3523, 2016
https://doi.org/10.5194/acp-16-3499-2016

Research article 17 Mar 2016

Research article | 17 Mar 2016

Exploring the uncertainty associated with satellite-based estimates of premature mortality due to exposure to fine particulate matter

Bonne Ford and Colette L. Heald

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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Bonne Ford on behalf of the Authors (21 Jan 2016)  Author's response    Manuscript
ED: Publish as is (26 Jan 2016) by Fangqun Yu
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Short summary
As motivation for air quality research, many studies cite the fact that exposure to particulate matter is associated with premature mortality. Recently, more studies have also tried to quantify this burden; however, there are many data sets that can be used and many different methodological choices to be made. In this paper, we seek to explain the different sources of uncertainty in health impact assessments through the example of using model and satellite-based PM2.5 concentrations.
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