Articles | Volume 14, issue 1
Geosci. Model Dev., 14, 223–238, 2021
https://doi.org/10.5194/gmd-14-223-2021
Geosci. Model Dev., 14, 223–238, 2021
https://doi.org/10.5194/gmd-14-223-2021

Model experiment description paper 15 Jan 2021

Model experiment description paper | 15 Jan 2021

Numerical study of the effects of initial conditions and emissions on PM2.5 concentration simulations with CAMx v6.1: a Xi'an case study

Han Xiao et al.

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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 Svenja Lange on behalf of the Authors (02 Oct 2020)  Author's response
ED: Publish subject to minor revisions (review by editor) (15 Oct 2020) by Leena Järvi
AR by Qizhong Wu on behalf of the Authors (24 Oct 2020)  Author's response    Manuscript
ED: Publish as is (04 Nov 2020) by Leena Järvi

Post-review adjustments

AA: Author's adjustment | EA: Editor approval
AA by Qizhong Wu on behalf of the Authors (22 Dec 2020)   Author's adjustment   Manuscript
EA: Adjustments approved (13 Jan 2021) by Leena Järvi
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Short summary
Few studies have investigated the effects of initial conditions on the simulation or prediction of PM2.5 concentrations. Here, sensitivity experiments are used to explore the effects of three initial mechanisms (clean, restart, and continuous) and emissions in Xi’an in December 2016. According to this work, if the restart mechanism cannot be used due to computing resource and storage space limitations when forecasting PM2.5 concentrations, a spin-up time of at least 27 h is needed.