Articles | Volume 19, issue 1
Atmos. Chem. Phys., 19, 295–313, 2019
https://doi.org/10.5194/acp-19-295-2019
Atmos. Chem. Phys., 19, 295–313, 2019
https://doi.org/10.5194/acp-19-295-2019

Research article 09 Jan 2019

Research article | 09 Jan 2019

Assessing uncertainties of a geophysical approach to estimate surface fine particulate matter distributions from satellite-observed aerosol optical depth

Xiaomeng Jin et al.

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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Xiaomeng Jin on behalf of the Authors (08 Dec 2018)  Author's response    Manuscript
ED: Publish as is (18 Dec 2018) by Robert Harley
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Short summary
We use a forward geophysical approach to derive surface PM2.5 distribution from satellite AOD over the northeastern US by applying relationships between surface PM2.5 and column AOD from a regional air quality model (CMAQ). We use multi-platform surface, aircraft, and radiosonde measurements to quantify different sources of uncertainties. We highlight model representation of aerosol vertical distribution and speciation as major sources of uncertainties for satellite-derived PM2.5.
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