@article{cai_zhang_wang_zhang_wang_zhang_duan_he_yu_2016, title={Incorporation of new particle formation and early growth treatments into WRF/Chem: Model improvement, evaluation, and impacts of anthropogenic aerosols over East Asia}, volume={124}, ISSN={["1873-2844"]}, DOI={10.1016/j.atmosenv.2015.05.046}, abstractNote={New particle formation (NPF) provides an important source of aerosol particles and cloud condensation nuclei, which may result in enhanced cloud droplet number concentration (CDNC) and cloud shortwave albedo. In this work, several nucleation parameterizations and one particle early growth parameterization are implemented into the online-coupled Weather Research and Forecasting model coupled with chemistry (WRF/Chem) to improve the model's capability in simulating NPF and early growth of ultrafine particles over East Asia. The default 8-bin over the size range of 39 nm–10 μm used in the Model for Simulating Aerosol Interactions and Chemistry aerosol module is expanded to the 12-bin over 1 nm–10 μm to explicitly track the formation and evolution of new particles. Although model biases remain in simulating H2SO4, condensation sink, growth rate, and formation rate, the evaluation of July 2008 simulation identifies a combination of three nucleation parameterizations (i.e., COMB) that can best represent the atmospheric nucleation processes in terms of both surface nucleation events and the resulting vertical distribution of ultrafine particle concentrations. COMB consists of a power law of Wang et al. (2011) based on activation theory for urban areas in planetary boundary layer (PBL), a power law of Boy et al. (2008) based on activation theory for non-urban areas in PBL, and the ion-mediated nucleation parameterization of YU10 for above PBL. The application and evaluation of the improved model with 12-bin and the COMB nucleation parameterization in East Asia during January, April, July, and October in 2001 show that the model has an overall reasonably good skill in reproducing most observed meteorological variables and surface and column chemical concentrations. Relatively large biases in simulated precipitation and wind speeds are due to inaccurate surface roughness and limitations in model treatments of cloud formation and aerosol-cloud-precipitation interactions. Large biases in the simulated surface concentrations of PM10, NOx, CO, SO2, and VOCs at some sites are due in part to possible underestimations of emissions and in part to inaccurate meteorological predictions. The simulations of 2001 show that anthropogenic aerosols can increase aerosol optical depth by 64.0–228.3%, CDNC by 40.2–76.4%, and cloud optical thickness by 14.3–25.3%; they can reduce surface net shortwave radiation by up to 42.5–52.8 W m−2, 2-m temperature by up to 0.34–0.83 °C, and PBL height by up to 76.8–125.9 m. Such effects are more significant than those previously reported for the U.S. and Europe.}, journal={ATMOSPHERIC ENVIRONMENT}, author={Cai, Changjie and Zhang, Xin and Wang, Kai and Zhang, Yang and Wang, Litao and Zhang, Qiang and Duan, Fengkui and He, Kebin and Yu, Shao-Cai}, year={2016}, month={Jan}, pages={262–284} }
 @article{xia_cai_zhu_an_li_li_2014, title={Source apportionment of VOCs in a suburb of Nanjing, China, in autumn and winter}, volume={71}, number={3}, journal={Journal of Atmospheric Chemistry}, author={Xia, L. and Cai, C. J. and Zhu, B. and An, J. L. and Li, Y. Y. and Li, Y.}, year={2014}, pages={175–193} }
 @article{tie_geng_guenther_cao_greenberg_zhang_apel_li_weinheimer_chen_et al._2013, title={Megacity impacts on regional ozone formation: observations and WRF-Chem modeling for the MIRAGE-Shanghai field campaign}, volume={13}, number={11}, journal={Atmospheric Chemistry and Physics}, author={Tie, X. and Geng, F. and Guenther, A. and Cao, J. and Greenberg, J. and Zhang, R. and Apel, E. and Li, G. and Weinheimer, A. and Chen, J. and et al.}, year={2013}, pages={5655–5669} }
 @article{chen_liu_geng_zhang_cai_xu_ma_li_2012, title={Vertical distribution of optical and micro-physical properties of ambient aerosols during dry haze periods in Shanghai}, volume={50}, journal={Atmospheric Environment}, author={Chen, Y. H. and Liu, Q. and Geng, F. H. and Zhang, H. and Cai, C. J. and Xu, T. T. and Ma, X. J. and Li, H.}, year={2012}, pages={50–59} }