Articles | Volume 16, issue 13
Atmos. Chem. Phys., 16, 8157–8180, 2016
https://doi.org/10.5194/acp-16-8157-2016
Atmos. Chem. Phys., 16, 8157–8180, 2016
https://doi.org/10.5194/acp-16-8157-2016

Research article 06 Jul 2016

Research article | 06 Jul 2016

Model development of dust emission and heterogeneous chemistry within the Community Multiscale Air Quality modeling system and its application over East Asia

Xinyi Dong et al.

Related authors

Two-scale multi-model ensemble: is a hybrid ensemble of opportunity telling us more?
Stefano Galmarini, Ioannis Kioutsioukis, Efisio Solazzo, Ummugulsum Alyuz, Alessandra Balzarini, Roberto Bellasio, Anna M. K. Benedictow, Roberto Bianconi, Johannes Bieser, Joergen Brandt, Jesper H. Christensen, Augustin Colette, Gabriele Curci, Yanko Davila, Xinyi Dong, Johannes Flemming, Xavier Francis, Andrea Fraser, Joshua Fu, Daven K. Henze, Christian Hogrefe, Ulas Im, Marta Garcia Vivanco, Pedro Jiménez-Guerrero, Jan Eiof Jonson, Nutthida Kitwiroon, Astrid Manders, Rohit Mathur, Laura Palacios-Peña, Guido Pirovano, Luca Pozzoli, Marie Prank, Martin Schultz, Rajeet S. Sokhi, Kengo Sudo, Paolo Tuccella, Toshihiko Takemura, Takashi Sekiya, and Alper Unal
Atmos. Chem. Phys., 18, 8727–8744, https://doi.org/10.5194/acp-18-8727-2018,https://doi.org/10.5194/acp-18-8727-2018, 2018
Short summary
Assessing the nonlinear response of fine particles to precursor emissions: development and application of an extended response surface modeling technique v1.0
B. Zhao, S. X. Wang, J. Xing, K. Fu, J. S. Fu, C. Jang, Y. Zhu, X. Y. Dong, Y. Gao, W. J. Wu, J. D. Wang, and J. M. Hao
Geosci. Model Dev., 8, 115–128, https://doi.org/10.5194/gmd-8-115-2015,https://doi.org/10.5194/gmd-8-115-2015, 2015

Related subject area

Subject: Aerosols | Research Activity: Atmospheric Modelling | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
Competing effects of aerosol reductions and circulation changes for future improvements in Beijing haze
Liang Guo, Laura J. Wilcox, Massimo Bollasina, Steven T. Turnock, Marianne T. Lund, and Lixia Zhang
Atmos. Chem. Phys., 21, 15299–15308, https://doi.org/10.5194/acp-21-15299-2021,https://doi.org/10.5194/acp-21-15299-2021, 2021
Short summary
Understanding the surface temperature response and its uncertainty to CO2, CH4, black carbon, and sulfate
Kalle Nordling, Hannele Korhonen, Jouni Räisänen, Antti-Ilari Partanen, Bjørn H. Samset, and Joonas Merikanto
Atmos. Chem. Phys., 21, 14941–14958, https://doi.org/10.5194/acp-21-14941-2021,https://doi.org/10.5194/acp-21-14941-2021, 2021
Short summary
Surface deposition of marine fog and its treatment in the Weather Research and Forecasting (WRF) model
Peter A. Taylor, Zheqi Chen, Li Cheng, Soudeh Afsharian, Wensong Weng, George A. Isaac, Terry W. Bullock, and Yongsheng Chen
Atmos. Chem. Phys., 21, 14687–14702, https://doi.org/10.5194/acp-21-14687-2021,https://doi.org/10.5194/acp-21-14687-2021, 2021
Short summary
Assessing the potential efficacy of marine cloud brightening for cooling Earth using a simple heuristic model
Robert Wood
Atmos. Chem. Phys., 21, 14507–14533, https://doi.org/10.5194/acp-21-14507-2021,https://doi.org/10.5194/acp-21-14507-2021, 2021
Short summary
Aerosol effects on electrification and lightning discharges in a multicell thunderstorm simulated by the WRF-ELEC model
Mengyu Sun, Dongxia Liu, Xiushu Qie, Edward R. Mansell, Yoav Yair, Alexandre O. Fierro, Shanfeng Yuan, Zhixiong Chen, and Dongfang Wang
Atmos. Chem. Phys., 21, 14141–14158, https://doi.org/10.5194/acp-21-14141-2021,https://doi.org/10.5194/acp-21-14141-2021, 2021
Short summary

Cited articles

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.
Bauer, S. E., Balkanski, Y., Schulz, M., Hauglustaine, D. A., and Dentener, F.: Global modeling of heterogeneous chemistry on mineral aerosol surfaces: Influence on tropospheric ozone chemistry and comparison to observations, J. Geophys. Res.-Atmos., 109, D02304, https://doi.org/10.1029/2003JD003868, 2004.
Bian, H., Tie, X. X., Cao, J. J., Ying, Z. M., Han, S. Q., and Xue, Y.: Analysis of a Severe Dust Storm Event over China: Application of the WRF-Dust Model, Aerosol Air Qual. Res., 11, 419–428, 2011.
Bian, H. S. and Zender, C. S.: Mineral dust and global tropospheric chemistry: Relative roles of photolysis and heterogeneous uptake, J. Geophys. Res.-Atmos., 108, 4672, https://doi.org/10.1029/2002JD003143, 2003.
Download
Short summary
The Community Multiscale Air Quality (CMAQ) model has been further developed in terms of simulating natural wind-blown dust in this study, with a series of modifications aimed at improving the model's capability to predict the emission, transport, and chemical reactions of dust aerosols. Evaluation with observations suggested improved model performance by correcting the double counting of soil moisture impact, applying source-dependent speciation profile, and implementing heterogeneous chemitry.
Altmetrics
Final-revised paper
Preprint