Articles | Volume 9, issue 5
https://doi.org/10.5194/gmd-9-1725-2016
https://doi.org/10.5194/gmd-9-1725-2016
Development and technical paper
 | 
10 May 2016
Development and technical paper |  | 10 May 2016

Trans-Pacific transport and evolution of aerosols: evaluation of quasi-global WRF-Chem simulation with multiple observations

Zhiyuan Hu, Chun Zhao, Jianping Huang, L. Ruby Leung, Yun Qian, Hongbin Yu, Lei Huang, and Olga V. Kalashnikova

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Cited articles

Ahn, C., Torres, O., and Bhartia, P. K.: Comparison of Ozone Monitoring Instrument UV Aerosol Products with Aqua/Moderate Resolution Imaging Spectroradiometer and Multiangle Imaging Spectroradiometer observations in 2006, J. Geophys. Res., 113, D16S27, https://doi.org/10.1029/2007JD008832, 2008.
Alizadeh-Choobari, O., Zawar-Reza, P., and Sturman, A.: The global distribution of mineral dust and its impacts on the climate system: A review, Atmos. Res., 138, 152–165, https://doi.org/10.1016/j.atmosres.2013.11.007, 2014.
Alizadeh-Choobari, O., Sturman, A. P., and Zawar-Reza, P.: Global distribution of mineral dust and its impact on radiative fluxes as simulated by WRF-Chem, Meteorol. Atmos. Phys., 127, 635–648, https://doi.org/10.1007/s00703-015-0390-4, 2015.
Anderson, T. L., Wu, Y., Chu, D. A., Schmid, B., Redemann, J., and Dubovik, O.: Testing the MODIS satellite retrieval of aerosol fine-mode fraction, J. Geophys. Res., 110, D18204, https://doi.org/10.1029/2005JD005978, 2005.
Ångström, A.: On the atmospheric transmission of Sun radiation and on dust in the air, Geogr. Ann., 11, 156–166, 1929.
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Short summary
This study conducts the simulation of WRF-Chem with the quasi-global configuration for 2010–2014, and evaluates the simulation with multiple observation datasets for the first time. This study demonstrates that the WRF-Chem quasi-global simulation can be used for investigating trans-Pacific transport of aerosols and providing reasonable inflow chemical boundaries for the western USA to further understand the impact of transported pollutants on the regional air quality and climate.
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