Articles | Volume 14, issue 12
https://doi.org/10.5194/gmd-14-7621-2021
© 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-14-7621-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
16 Dec 2021
Model description paper |
| 16 Dec 2021
| 16 Dec 2021
Reduced-complexity air quality intervention modeling over China: the development of InMAPv1.6.1-China and a comparison with CMAQv5.2
Ruili Wu
CORRESPONDING AUTHOR
Ministry of Education Key Laboratory for Earth System Modeling,
Department of Earth System Science, Tsinghua University, Beijing 100084, China
State Environmental Protection Key Laboratory of Quality Control in
Environmental Monitoring, China National Environmental Monitoring Centre,
Beijing 100012, China
Christopher W. Tessum
Department of Civil and Environmental Engineering, the University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA
Yang Zhang
Department of Civil and Environmental Engineering, Northeastern
University, Boston, Massachusetts 02115, USA
Chaopeng Hong
Institute of Environment and Ecology, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
Yixuan Zheng
Center of Air Quality Simulation and System Analysis, Chinese Academy of Environmental Planning, Beijing 100012, China
Xinyin Qin
Ministry of Education Key Laboratory for Earth System Modeling,
Department of Earth System Science, Tsinghua University, Beijing 100084, China
Shigan Liu
Ministry of Education Key Laboratory for Earth System Modeling,
Department of Earth System Science, Tsinghua University, Beijing 100084, China
Qiang Zhang
Ministry of Education Key Laboratory for Earth System Modeling,
Department of Earth System Science, Tsinghua University, Beijing 100084, China
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Short summary
Reduced-complexity air quality models are less computationally intensive and easier to use. We developed a reduced-complexity air quality Intervention Model for Air Pollution over China (InMAP-China) to rapidly predict the air quality and estimate the health impacts of emission sources in China. We believe that this work will be of great interest to a broad audience, including environmentalists in China and scientists in relevant fields at both national and local institutes.
Reduced-complexity air quality models are less computationally intensive and easier to use. We...
