Articles | Volume 18, issue 17
https://doi.org/10.5194/acp-18-12891-2018
https://doi.org/10.5194/acp-18-12891-2018
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

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Mariel Friberg on behalf of the Authors (13 Jul 2018)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (16 Jul 2018) by Qiang Zhang
RR by Anonymous Referee #1 (17 Jul 2018)
ED: Publish subject to minor revisions (review by editor) (17 Jul 2018) by Qiang Zhang
AR by Mariel Friberg on behalf of the Authors (19 Jul 2018)  Author's response    Manuscript
ED: Publish as is (24 Jul 2018) by Qiang Zhang

Post-review adjustments

AA: Author's adjustment | EA: Editor approval
AA by Mariel Friberg on behalf of the Authors (28 Aug 2018)   Author's adjustment   Manuscript
EA: Adjustments approved (30 Aug 2018) by Qiang Zhang
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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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