Articles | Volume 17, issue 21
https://doi.org/10.5194/acp-17-13103-2017
https://doi.org/10.5194/acp-17-13103-2017
Research article
 | 
07 Nov 2017
Research article |  | 07 Nov 2017

Ensemble prediction of air quality using the WRF/CMAQ model system for health effect studies in China

Jianlin Hu, Xun Li, Lin Huang, Qi Ying, Qiang Zhang, Bin Zhao, Shuxiao Wang, and Hongliang Zhang

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Cited articles

Akimoto, H., Ohara, T., Kurokawa, J.-i., and Horii, N.: Verification of energy consumption in China during 1996–2003 by using satellite observational data, Atmos. Environ., 40, 7663–7667, https://doi.org/10.1016/j.atmosenv.2006.07.052, 2006.
Boylan, J. W. and Russell, A. G.: PM and light extinction model performance metrics, goals, and criteria for three-dimensional air quality models, Atmos. Environ., 40, 4946–4959, 2006.
Byun, D. and Schere, K. L.: Review of the Governing Equations, Computational Algorithms, and Other Components of the Models-3 Community Multiscale Air Quality (CMAQ) Modeling System, Appl. Mech. Rev., 59, 51–77, 2006.
Carter, W. P. L. and Heo, G.: Development of revised SAPRC aromatics mechanisms, Final Report to the California Air Resources Board, Contracts No. 07-730 and 08-326, 12 April 2012, Center for Environmental Research and Technology, College of Engineering, University of California, USA, 2012.
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Short summary
The model performance of CMAQ with WRF using four different emission inventories in China was validated and compared to obtain the best air pollutants prediction for health effect studies of severe air pollution. The differences in performance of chemical transport model were analyzed for different months and regions in the vast part of China and ensemble predictions were firstly obtained from different inventories for health analysis with minimized errors for pollutants including PM2.5 and O3.
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