Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 18, issue 17
Articles | Volume 18, issue 17
https://doi.org/10.5194/acp-18-12891-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-18-12891-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 17
Research article
 | 
07 Sep 2018
Research article |  | 07 Sep 2018

Constraining chemical transport PM2.5 modeling outputs using surface monitor measurements and satellite retrievals: application over the San Joaquin Valley

Mariel D. Friberg, Ralph A. Kahn, James A. Limbacher, K. Wyat Appel, and James A. Mulholland

Supplement

https://doi.org/10.5194/acp-18-12891-2018-supplement

Data sets

Air Quality System (AQS) US EPA - US Environmental Protection Agency https://www.epa.gov/aqs

AErosol Robotic Network (AERONET) US NASA - US National Aeronautics and Space Administration https://aeronet.gsfc.nasa.gov

Deriving Information on Surface Conditions from Column and Vertically Resolved Observations Relevant to Air Quality (DISCOVER-AQ) US NASA - US National Aeronautics and Space Administration https://www-air.larc.nasa.gov/missions/discover-aq/discover-aq.html

Moderate Resolution Imaging Spectroradiometer (MODIS) Version 6 global Multi-Angle Implementation of Atmospheric Correction (MAIAC) US NASA - US National Aeronautics and Space Administration https://ladsweb.modaps.eosdis.nasa.gov

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Short summary
Advances in satellite retrieval of aerosol type can improve ambient air quality concentration estimates by providing regional context where surface monitors are scarce or absent. This work focuses on the degree to which regional-scale satellite and model data can be combined to improve surface estimates of fine particles and their major speciated components. The physically based method applies satellite-derived column observations directly to total and speciated surface particle concentrations.
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