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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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Volume 8, issue 2
Geosci. Model Dev., 8, 409–429, 2015
https://doi.org/10.5194/gmd-8-409-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: The community version of the Weather Research and Forecasting...

Geosci. Model Dev., 8, 409–429, 2015
https://doi.org/10.5194/gmd-8-409-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Development and technical paper 24 Feb 2015

Development and technical paper | 24 Feb 2015

A new WRF-Chem treatment for studying regional-scale impacts of cloud processes on aerosol and trace gases in parameterized cumuli

L. K. Berg et al.

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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 Anna Mirena Feist-Polner on behalf of the Authors (21 Oct 2014)  Author's response
ED: Referee Nomination & Report Request started (24 Oct 2014) by Tim Butler
RR by Anonymous Referee #1 (03 Nov 2014)
RR by Anonymous Referee #3 (24 Nov 2014)
RR by Anonymous Referee #2 (18 Dec 2014)
ED: Publish subject to minor revisions (Editor review) (14 Jan 2015) by Tim Butler
AR by L. K. Berg on behalf of the Authors (23 Jan 2015)  Author's response    Manuscript
ED: Publish as is (28 Jan 2015) by Tim Butler
Publications Copernicus
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Short summary
This work presents a new methodology for representing regional-scale impacts of cloud processing on both aerosol and trace gases in sub-grid-scale convective clouds. Using the new methodology, we can better simulate the aerosol lifecycle over large areas. The results presented in this work highlight the potential change in column-integrated amounts of black carbon, organic aerosol, and sulfate aerosol, which were found to range from -50% for black carbon to +40% for sulfate.
This work presents a new methodology for representing regional-scale impacts of cloud processing...
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