Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 16, issue 22
Articles | Volume 16, issue 22
https://doi.org/10.5194/gmd-16-6757-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-16-6757-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 22
Model experiment description paper
 | 
22 Nov 2023
Model experiment description paper |  | 22 Nov 2023

The effect of emission source chemical profiles on simulated PM2.5 components: sensitivity analysis with the Community Multiscale Air Quality (CMAQ) modeling system version 5.0.2

Zhongwei Luo, Yan Han, Kun Hua, Yufen Zhang, Jianhui Wu, Xiaohui Bi, Qili Dai, Baoshuang Liu, Yang Chen, Xin Long, and Yinchang Feng

Supplement

https://doi.org/10.5194/gmd-16-6757-2023-supplement

Data sets

NCEP FNL Operational Model Global Tropospheric Analyses The National Center for Atmospheric Research (NCAR) https://doi.org/10.5065/D6M043C6

NCEP ADP Global Surface Observational Weather Data The National Center for Atmospheric Research (NCAR) https://doi.org/10.5065/4F4P-E398

NCEP ADP Global Upper Air Observational Weather Data The National Center for Atmospheric Research (NCAR) https://doi.org/10.5065/39C5-Z211

Data for: chemical compositions of the main source profiles of ambient particulate matter across China Xiaohui Bi, Qili Dai, Jian-hui Wu, Qing Zhang, Wenhui Zhang, Ruixue Luo, Yuan Cheng, Jiaying Zhang, Lu Wang, Zhuojun Yu, Yufen Zhang, Yingze Tian, and Yinchang Feng https://doi.org/10.17632/x8dfshjt9j.2

Model code and software

CMAQv5.0.2 (5.0.2) US EPA Office of Research and Development https://doi.org/10.5281/zenodo.1079898

A Description of the Advanced Research WRF Version 3 W. Skamarock, J. Klemp, J. Dudhia, D. Gill, D. Barker, D. Duda, X. Huang, W. Wang, and J. Powers https://doi.org/10.5065/D68S4MVH

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Short summary
This study explores how the variation in the source profiles adopted in chemical transport models (CTMs) impacts the simulated results of chemical components in PM2.5 based on sensitivity analysis. The impact on PM2.5 components cannot be ignored, and its influence can be transmitted and linked between components. The representativeness and timeliness of the source profile should be paid adequate attention in air quality simulation.
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