Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 14, issue 11
Articles | Volume 14, issue 11
https://doi.org/10.5194/gmd-14-7189-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-14-7189-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 14, issue 11
Model evaluation paper
 | 
26 Nov 2021
Model evaluation paper |  | 26 Nov 2021

A comparative study of two-way and offline coupled WRF v3.4 and CMAQ v5.0.2 over the contiguous US: performance evaluation and impacts of chemistry–meteorology feedbacks on air quality

Kai Wang, Yang Zhang, Shaocai Yu, David C. Wong, Jonathan Pleim, Rohit Mathur, James T. Kelly, and Michelle Bell

Supplement

https://doi.org/10.5194/gmd-14-7189-2021-supplement

Data sets

NCDC data NCEI https://www.ncei.noaa.gov/data/global-hourly/archive/csv

GPCP data NCEI https://www.ncei.noaa.gov/data/global-precipitation-climatology-project-gpcp-monthly

CERES_EBAF_Ed4.1 Subsetting and Browsing NASA CERES https://ceres-tool.larc.nasa.gov/ord-tool/jsp/EBAF41Selection.jsp

MODIS Atmosphere L3 Monthly Product (08_L3) S. Platnick, P. Hubanks, K. Meyer, and M. D. King https://doi.org/10.5067/MODIS/MOD08_M3.061

Tropospheric ozone column TEMIS https://www.temis.nl/protocols/tropo.php

Tropospheric NO2 from satellites TEMIS https://www.temis.nl/airpollution/no2.php

MOPITT CO gridded monthly means (Near and Thermal Infrared Radiances) V009 NASA/LARC/SD/ASDC https://doi.org/10.5067/TERRA/MOPITT/MOP03JM.009

Model code and software

CMAQv5.0.2 U.S. EPA Office of Research and Development https://doi.org/10.5281/zenodo.1079898

WRFv3.4 NCAR (National Center for Atmospheric Research) https://www2.mmm.ucar.edu/wrf/src/WRFV3.4.TAR.gz

Aerosol indirect effect on the grid-scale clouds in the two-way coupled WRF–CMAQ: model description, development, evaluation and regional analysis (https://person.zju.edu.cn/shaocaiyu#674502) S. Yu, R. Mathur, J. Pleim, D. Wong, R. Gilliam, K. Alapaty, C. Zhao, and X. Liu https://doi.org/10.5194/acp-14-11247-2014

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Short summary
The two-way coupled WRF-CMAQ model accounting for complex chemistry–meteorology feedbacks has been applied to the long-term predictions of regional meteorology and air quality over the US. The model results show superior performance and importance of chemistry–meteorology feedbacks when compared to the offline coupled WRF and CMAQ simulations, which suggests that feedbacks should be considered along with other factors in developing future model applications to inform policy making.
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