GIST-PM-Asia v1: development of a numerical system to improve particulate  matter forecasts in South Korea using geostationary satellite-retrieved  aerosol optical data over Northeast Asia

Lee, S.; Song, C. H.; Park, R. S.; Park, M. E.; Han, K. M.; Kim, J.; Choi, M.; Ghim, Y. S.; Woo, J.-H.

doi:https://doi.org/10.5194/gmd-9-17-2016

Articles | Volume 9, issue 1

https://doi.org/10.5194/gmd-9-17-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/gmd-9-17-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 9, issue 1

Development and technical paper

|

15 Jan 2016

Development and technical paper |

| 15 Jan 2016

GIST-PM-Asia v1: development of a numerical system to improve particulate matter forecasts in South Korea using geostationary satellite-retrieved aerosol optical data over Northeast Asia

S. Lee, C. H. Song, R. S. Park, M. E. Park, K. M. Han, J. Kim, M. Choi, Y. S. Ghim, and J.-H. Woo

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Final revised paper (published on 15 Jan 2016)
Supplement to the final revised paper
Preprint (discussion started on 08 Jul 2015)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC C1548: 'Review of "Development of a numerical system to improve particulate matter forecasts in South Korea using geostationary satellite-retrieved aerosol optical data over Northeast Asia" by Lee et al.', Anonymous Referee #1, 29 Jul 2015
- AC C2313: 'Responses to comments of the Anonymous Referee #1', Sojin Lee, 01 Oct 2015
RC C1630: 'Review of “Development of a numerical system to improve particulate matter forecasts in South Korea using geostationary satellite-retrived aerosol optical data over Northeast Asia” by Lee et al.', Anonymous Referee #2, 08 Aug 2015
- AC C2318: 'Responses to comments of the Anonymous Referee #2', Sojin Lee, 01 Oct 2015
SC C1661: 'Executive Editor Comment on "Development of a numerical system to improve particulate matter forecasts in South Korea using geostationary satellite-retrieved aerosol optical data over Northeast Asia"', Astrid Kerkweg, 11 Aug 2015
- AC C2324: 'Responses to executive editor', Sojin Lee, 01 Oct 2015
AC C2308: 'Final response', Sojin Lee, 01 Oct 2015

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Sojin Lee on behalf of the Authors (01 Oct 2015) Author's response Manuscript

ED: Referee Nomination & Report Request started (09 Oct 2015) by Olivier Boucher

RR by Anonymous Referee #1 (28 Oct 2015)

ED: Publish subject to technical corrections (05 Nov 2015) by Olivier Boucher

AR by Sojin Lee on behalf of the Authors (11 Nov 2015) Author's response Manuscript

Short summary

We developed an integrated air quality modeling system using AOD data retrieved from a geostationary satellite sensor, GOCI (Geostationary Ocean Color Imager), over Northeast Asia with an application of the spatiotemporal-kriging (STK) method and conducted short-term hindcast runs using the developed system. It appears that the STK approach can greatly reduce not only the errors and biases of AOD and PM₁₀ predictions but also the computational burden of a chemical weather forecast (CWF).