Articles | Volume 14, issue 2
https://doi.org/10.5194/gmd-14-703-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-14-703-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development of WRF/CUACE v1.0 model and its preliminary application in simulating air quality in China
Lei Zhang
State Key Laboratory of Severe Weather & Key Laboratory of
Atmospheric Chemistry of CMA, Chinese Academy of
Meteorological Sciences, Beijing, 100081, China
Sunling Gong
CORRESPONDING AUTHOR
State Key Laboratory of Severe Weather & Key Laboratory of
Atmospheric Chemistry of CMA, Chinese Academy of
Meteorological Sciences, Beijing, 100081, China
Tianliang Zhao
CORRESPONDING AUTHOR
Climate and Weather
Disasters Collaborative Innovation Center, Nanjing University of Information
Science & Technology, Nanjing, 210044, China
Chunhong Zhou
State Key Laboratory of Severe Weather & Key Laboratory of
Atmospheric Chemistry of CMA, Chinese Academy of
Meteorological Sciences, Beijing, 100081, China
Yuesi Wang
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry, Institute of Atmospheric
Physics, Chinese Academy of Sciences, Beijing, 100029, China
Jiawei Li
CAS Key Laboratory of Regional Climate-Environment for Temperate East
Asia (RCE-TEA), Institute of Atmospheric Physics, Chinese Academy of
Sciences, Beijing, 100029, China
Dongsheng Ji
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry, Institute of Atmospheric
Physics, Chinese Academy of Sciences, Beijing, 100029, China
Jianjun He
State Key Laboratory of Severe Weather & Key Laboratory of
Atmospheric Chemistry of CMA, Chinese Academy of
Meteorological Sciences, Beijing, 100081, China
Hongli Liu
State Key Laboratory of Severe Weather & Key Laboratory of
Atmospheric Chemistry of CMA, Chinese Academy of
Meteorological Sciences, Beijing, 100081, China
State Key Laboratory of Severe Weather & Key Laboratory of
Atmospheric Chemistry of CMA, Chinese Academy of
Meteorological Sciences, Beijing, 100081, China
Xiaomei Guo
Heavy Rain and Drought-Flood Disasters in Plateau and Basin Key
Laboratory of Sichuan Province, Chengdu, 610072, China
Weather Modification Office of Sichuan Province, Chengdu, 610072,
China
Jinhui Gao
Department of Ocean Science and Engineering, Southern University of
Science and Technology, ShenZhen, 518055, China
Yunpeng Shan
Environment and Climate Sciences Department, Brookhaven National Lab,
Upton, NY, USA
Hong Wang
State Key Laboratory of Severe Weather & Key Laboratory of
Atmospheric Chemistry of CMA, Chinese Academy of
Meteorological Sciences, Beijing, 100081, China
Yaqiang Wang
State Key Laboratory of Severe Weather & Key Laboratory of
Atmospheric Chemistry of CMA, Chinese Academy of
Meteorological Sciences, Beijing, 100081, China
Huizheng Che
State Key Laboratory of Severe Weather & Key Laboratory of
Atmospheric Chemistry of CMA, Chinese Academy of
Meteorological Sciences, Beijing, 100081, China
Xiaoye Zhang
State Key Laboratory of Severe Weather & Key Laboratory of
Atmospheric Chemistry of CMA, Chinese Academy of
Meteorological Sciences, Beijing, 100081, China
Model code and software
WRF/CUACE v1.0 source code Lei Zhang, Sunling Gong, and Tianliang Zhao https://doi.org/10.5281/zenodo.3872620
Short summary
Development of chemical transport models with advanced physics and chemical schemes is important for improving air-quality forecasts. This study develops the chemical module CUACE by updating with a new particle dry deposition scheme and adding heterogenous chemical reactions and couples it with the WRF model. The coupled model (WRF/CUACE) was able to capture well the variations of PM2.5, O3, NO2, and secondary inorganic aerosols in eastern China.
Development of chemical transport models with advanced physics and chemical schemes is important...