Articles | Volume 17, issue 2
https://doi.org/10.5194/acp-17-1511-2017
https://doi.org/10.5194/acp-17-1511-2017
Research article
 | 
31 Jan 2017
Research article |  | 31 Jan 2017

The impact of resolution on meteorological, chemical and aerosol properties in regional simulations with WRF-Chem

Paola Crippa, Ryan C. Sullivan, Abhinav Thota, and Sara C. Pryor

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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 Paola Crippa on behalf of the Authors (19 Aug 2016)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (25 Aug 2016) by Philip Stier
RR by Anonymous Referee #1 (03 Sep 2016)
ED: Reconsider after major revisions (05 Sep 2016) by Philip Stier
AR by Lorena Grabowski on behalf of the Authors (04 Oct 2016)  Author's response
ED: Referee Nomination & Report Request started (07 Oct 2016) by Philip Stier
RR by Anonymous Referee #1 (17 Oct 2016)
ED: Reconsider after major revisions (31 Oct 2016) by Philip Stier
AR by Paola Crippa on behalf of the Authors (28 Nov 2016)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (30 Nov 2016) by Philip Stier
RR by Anonymous Referee #1 (22 Dec 2016)
ED: Reconsider after minor revisions (Editor review) (05 Jan 2017) by Philip Stier
AR by Paola Crippa on behalf of the Authors (06 Jan 2017)  Author's response    Manuscript
ED: Publish as is (11 Jan 2017) by Philip Stier
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Short summary
Here we quantify WRF-CHEM sensitivity in simulating meteorological, chemical and aerosol properties as a function of spatial resolution. We demonstrate that WRF-Chem at high resolution improves model performance of meteorological and gas-phase parameters and of mean and extreme aerosol properties over North America. A dry bias in specific humidity and precipitation in the coarse simulations is identified as cause of the better performance of the high-resolution simulations.
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