Articles | Volume 20, issue 12
https://doi.org/10.5194/acp-20-7393-2020
https://doi.org/10.5194/acp-20-7393-2020
Research article
 | 
25 Jun 2020
Research article |  | 25 Jun 2020

Why do models perform differently on particulate matter over East Asia? A multi-model intercomparison study for MICS-Asia III

Jiani Tan, Joshua S. Fu, Gregory R. Carmichael, Syuichi Itahashi, Zhining Tao, Kan Huang, Xinyi Dong, Kazuyo Yamaji, Tatsuya Nagashima, Xuemei Wang, Yiming Liu, Hyo-Jung Lee, Chuan-Yao Lin, Baozhu Ge, Mizuo Kajino, Jia Zhu, Meigen Zhang, Hong Liao, and Zifa Wang

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Cited articles

Akimoto, H.: Global air quality and pollution, Science, 302, 1716–1719, https://doi.org/10.1126/science.1092666, 2003. 
Appel, K. W., Pouliot, G. A., Simon, H., Sarwar, G., Pye, H. O. T., Napelenok, S. L., Akhtar, F., and Roselle, S. J.: Evaluation of dust and trace metal estimates from the Community Multiscale Air Quality (CMAQ) model version 5.0, Geosci. Model Dev., 6, 883–899, https://doi.org/10.5194/gmd-6-883-2013, 2013. 
Carmichael, G. R. and Ueda, H.: MICS-Asia II: The model intercomparison study for Asia phase II, Atmos. Environ., 42, 3465–3467, https://doi.org/10.1016/j.atmosenv.2007.10.003, 2008. 
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This study evaluated the performance of 12 chemical transport models from MICS-Asia III for predicting the particulate matter (PM) over East Asia. Four model processes were investigated as the possible reasons for model bias with measurements and the factors causing inconsistent predictions of PM from different models: (1) model inputs, (2) gas–particle conversion, (3) dust emission modules and (4) removal mechanisms (wet and dry depositions). The influence of each process was discussed.
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