Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 14, issue 12
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.
https://doi.org/10.5194/gmd-14-7621-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 14, issue 12
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

Viewed

Total article views: 2,515 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,548 905 62 2,515 198 23 29
  • HTML: 1,548
  • PDF: 905
  • XML: 62
  • Total: 2,515
  • Supplement: 198
  • BibTeX: 23
  • EndNote: 29
Views and downloads (calculated since 26 Apr 2021)
Cumulative views and downloads (calculated since 26 Apr 2021)

Viewed (geographical distribution)

Total article views: 2,515 (including HTML, PDF, and XML) Thereof 2,426 with geography defined and 89 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 23 Apr 2024
Download
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.
Read more