Articles | Volume 14, issue 12
https://doi.org/10.5194/gmd-14-7621-2021
https://doi.org/10.5194/gmd-14-7621-2021
Model description paper
 | 
16 Dec 2021
Model description paper |  | 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, Christopher W. Tessum, Yang Zhang, Chaopeng Hong, Yixuan Zheng, Xinyin Qin, Shigan Liu, and Qiang Zhang

Model code and software

A localized version of reduced-complexity air quality intervention model over China (InMAPv1.6.1-China) Ruili Wu https://doi.org/10.5281/zenodo.5111961

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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.