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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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Preprints
https://doi.org/10.5194/gmd-2020-181
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-2020-181
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: model description paper 03 Jul 2020

Submitted as: model description paper | 03 Jul 2020

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A revised version of this preprint is currently under review for the journal GMD.

Development of WRF/CUACE v1.0 model and its preliminary application in simulating air quality in China

Lei Zhang1, Sunling Gong1, Tianliang Zhao2, Chunhong Zhou1, Yuesi Wang3, Jiawei Li4, Dongsheng Ji3, Jianjun He1, Hongli Liu1, Ke Gui1, Yaqiang Wang1, Huizheng Che1, and Xiaoye Zhang1 Lei Zhang et al.
  • 1State Key Laboratory of Severe Weather & Key Laboratory of Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences, Beijing 100081, China
  • 2Climate and Weather Disasters Collaborative Innovation Center, Nanjing University of Information Science &Technology, Nanjing, 210044 China
  • 3State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China
  • 4CAS Key Laboratory of Regional Climate-Environment for Temperate East Asia (RCE-TEA), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China

Abstract. The development of chemical transport models with advanced physics and chemical schemes could improve air-quality forecasts. In this study, the China Meteorological Administration Unified Atmospheric Chemistry Environment (CUACE) model, a comprehensive chemistry module incorporating gaseous chemistry and a size-segregated multicomponent aerosol algorithm, was coupled to the Weather Research and Forecasting (WRF)-Chem framework using an interface procedure to build the WRF/CUACE v1.0 model. The latest version of CUACE includes an updated aerosol dry deposition scheme and the introduction of heterogeneous chemical reactions on aerosol surfaces. We evaluated the WRF/CUACE v1.0 model by simulating PM2.5, O3, and NO2 concentrations for January, April, July, and October (representing winter, spring, summer, and autumn, respectively) in 2013, 2015, and 2017 and comparing them with ground-based observations. Secondary inorganic aerosol simulations were also evaluated through a simulation of a heavy haze pollution event during 9–15 January 2019 in the North China Plain. The model well captured the variations of PM2.5, O3, and NO2 concentrations in all seasons in eastern China. However, it is difficult to accurately reproduce the variations of air pollutants over Sichuan Basin, due to its deep basin terrain. The sulfate and nitrate simulations are substantially improved by introducing heterogenous chemical reactions into the CUACE model (change in bias from −95.0 % to 4.1 % for sulfate and from 124.1 % to 96.0 % for nitrate). The development of the WRF/CUACE v1.0 model represents an important step towards improving air-quality modelling and forecasts in China.

Lei Zhang et al.

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Lei Zhang et al.

Model code and software

WRF/CUACE v1.0 source code Lei Zhang, Sunling Gong, Tianliang Zhao https://doi.org/10.5281/zenodo.3872620

Lei Zhang et al.

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Latest update: 28 Oct 2020
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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 WRF model. The coupled model (WRF/CUACE) was able to well capture the variations of PM2.5, O3, NO2, as well as secondary inorganic aerosols in eastern China.
Development of chemical transport models with advanced physics and chemical schemes is important...
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