Articles | Volume 13, issue 3
Geosci. Model Dev., 13, 1055–1073, 2020
https://doi.org/10.5194/gmd-13-1055-2020
Geosci. Model Dev., 13, 1055–1073, 2020
https://doi.org/10.5194/gmd-13-1055-2020
Development and technical paper
10 Mar 2020
Development and technical paper | 10 Mar 2020

Development of Korean Air Quality Prediction System version 1 (KAQPS v1) with focuses on practical issues

Kyunghwa Lee 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 Lorena Grabowski on behalf of the Authors (19 Nov 2019)  Author's response
ED: Publish subject to minor revisions (review by editor) (04 Dec 2019) by Havala Pye
AR by K. Lee on behalf of the Authors (14 Dec 2019)  Author's response    Manuscript
ED: Publish subject to minor revisions (review by editor) (21 Jan 2020) by Havala Pye
AR by K. Lee on behalf of the Authors (30 Jan 2020)  Author's response    Manuscript
ED: Publish subject to technical corrections (05 Feb 2020) by Havala Pye
AR by K. Lee on behalf of the Authors (08 Feb 2020)  Author's response    Manuscript
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Short summary
For the purpose of providing reliable and robust air quality predictions, an operational air quality prediction system was developed for the main air quality criteria species in South Korea (PM10, PM2.5, CO, O3 and SO2) by preparing the initial conditions for model simulations via data assimilation using satellite- and ground-based observations. The performance of the developed air quality prediction system was evaluated using ground in situ data during the KORUS-AQ campaign period.