Improving aerosol interaction with clouds and precipitation in a  regional chemical weather modeling system

Zhou, C.; Zhang, X.; Gong, S.; Wang, Y.; Xue, M.

doi:https://doi.org/10.5194/acp-16-145-2016

Articles | Volume 16, issue 1

https://doi.org/10.5194/acp-16-145-2016

© 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/acp-16-145-2016

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

Articles | Volume 16, issue 1

Research article

|

18 Jan 2016

Research article |

| 18 Jan 2016

Improving aerosol interaction with clouds and precipitation in a regional chemical weather modeling system

C. Zhou, X. Zhang, S. Gong, Y. Wang, and M. Xue

Download

Final revised paper (published on 18 Jan 2016)
Preprint (discussion started on 12 Jun 2015)

Interactive discussion

Status: closed

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

- Printer-friendly version

- Supplement

RC C6262: 'Reviewer Comments', Anonymous Referee #3, 26 Aug 2015
- RC C7157: 'Commens on Improving aerosol interaction with clouds and precipitation in a regional chemical weather modeling system', Anonymous Referee #4, 24 Sep 2015
AC C9237: 'Auther Final Commnets', Chunhong ZHou, 13 Nov 2015

Peer-review completion

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

AR by Chunhong ZHou on behalf of the Authors (13 Nov 2015) Author's response Manuscript

ED: Publish as is (13 Nov 2015) by Jørgen Brandt

Short summary

A comprehensive aerosol-cloud-precipitation interaction (ACI) scheme from emissions to precipitation has been developed under the CMA chemical weather modeling system GRAPES/CUACE. The ACI for January 2013 has been studied using this model. The interactive microphysical properties of clouds improve the precipitation, showing 24 to 48 % enhancements of threat score for 6 h precipitation in all regions and reduction of the regional mean bias of temperature by 3 °C in certain precipitation events.