Development of an adjoint model of GRAPES–CUACE and its application in  tracking influential haze source areas in north China

An, Xing Qin; Zhai, Shi Xian; Jin, Min; Gong, Sunling; Wang, Yu

doi:https://doi.org/10.5194/gmd-9-2153-2016

Articles | Volume 9, issue 6

https://doi.org/10.5194/gmd-9-2153-2016

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

Special issue:

Haze-fog forecasts and near real time (NRT) data application...

https://doi.org/10.5194/gmd-9-2153-2016

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

Articles | Volume 9, issue 6

Development and technical paper

|

14 Jun 2016

Development and technical paper |

| 14 Jun 2016

Development of an adjoint model of GRAPES–CUACE and its application in tracking influential haze source areas in north China

Xing Qin An, Shi Xian Zhai, Min Jin, Sunling Gong, and Yu Wang

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Final revised paper (published on 14 Jun 2016)
Supplement to the final revised paper
Preprint (discussion started on 28 Aug 2015)
Supplement to the preprint

Interactive discussion

Status: closed

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

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- Supplement

RC C1975: 'air quality modelling', Anonymous Referee #1, 13 Sep 2015
- AC C2604: 'Answers to Reviewer #1', Shixian Zhai, 23 Oct 2015
- AC C2605: 'Revised manuscript', Shixian Zhai, 23 Oct 2015
RC C4091: 'An “Tracking influential haze source areas in North China using an adjoint model, GRAPES–CUACE” review', Anonymous Referee #2, 05 Mar 2016

Peer-review completion

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

AR by Shixian Zhai on behalf of the Authors (01 Apr 2016) Manuscript

ED: Referee Nomination & Report Request started (05 Apr 2016) by James Annan

ED: Publish as is (23 May 2016) by James Annan

AR by Shixian Zhai on behalf of the Authors (29 May 2016) Author's response

Short summary

The aerosol adjoint module of the atmospheric chemical modeling system GRAPES–CUACE was developed, tested for its correctness, and used in a receptor–source sensitivity test. The results showed that controlling critical emission sources during critical time intervals on the basis of adjoint sensitivity analysis is much more efficient than controlling administrative specified regions during an experiential time period.