Articles | Volume 9, issue 2
Geosci. Model Dev., 9, 671–695, 2016
https://doi.org/10.5194/gmd-9-671-2016

Special issue: Coupled chemistry–meteorology modelling: status and...

Geosci. Model Dev., 9, 671–695, 2016
https://doi.org/10.5194/gmd-9-671-2016

Development and technical paper 18 Feb 2016

Development and technical paper | 18 Feb 2016

Decadal evaluation of regional climate, air quality, and their interactions over the continental US and their interactions using WRF/Chem version 3.6.1

Khairunnisa Yahya et al.

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Yang Zhang on behalf of the Authors (21 Nov 2015)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (23 Nov 2015) by Volker Grewe
RR by Anonymous Referee #2 (24 Nov 2015)
ED: Publish subject to minor revisions (Editor review) (11 Dec 2015) by Volker Grewe
AR by Yang Zhang on behalf of the Authors (14 Dec 2015)  Author's response    Manuscript
ED: Publish subject to minor revisions (Editor review) (20 Dec 2015) by Volker Grewe
ED: Publish subject to minor revisions (Editor review) (03 Jan 2016) by Volker Grewe
AR by Svenja Lange on behalf of the Authors (26 Jan 2016)  Author's response
ED: Publish as is (26 Jan 2016) by Volker Grewe
Download

The requested paper has a corresponding corrigendum published. Please read the corrigendum first before downloading the article.

Short summary
The Weather Research and Forecasting model with Chemistry (WRF/Chem) v3.6.1 is evaluated for its first decadal application during 2001 to 2010 using the Representative Concentration Pathway 8.5 emissions. The model evaluation shows acceptable performance for long-term climatological simulations of most meteorological variables and chemical concentrations. Larger biases exist for aerosol-cloud-radiation variables, which future model improvement should focus on.