Articles | Volume 21, issue 6
https://doi.org/10.5194/acp-21-4403-2021
https://doi.org/10.5194/acp-21-4403-2021
Research article
 | 
22 Mar 2021
Research article |  | 22 Mar 2021

Improving the sectional Model for Simulating Aerosol Interactions and Chemistry (MOSAIC) aerosols of the Weather Research and Forecasting-Chemistry (WRF-Chem) model with the revised Gridpoint Statistical Interpolation system and multi-wavelength aerosol optical measurements: the dust aerosol observation campaign at Kashi, near the Taklimakan Desert, northwestern China

Wenyuan Chang, Ying Zhang, Zhengqiang Li, Jie Chen, and Kaitao Li

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Cited articles

Adebiyi, A. A. and Kok, J. F.: Climate models miss most of the coarse dust in the atmosphere, Sci. Adv., 6, eaaz9507, https://doi.org/10.1126/sciadv.aaz9507, 2020. 
Bannister, R. N.: A review of operational methods of variational and ensemble-variational data assimilation, Q. J. Roy. Meteor. Soc., 143, 607–633, https://doi.org/10.1002/qj.2982, 2017. 
Bao, Y., Zhu, L., Guan, Q., Guan, Y., Lu, Q., Petropoulos, G. P., Che, H., Ali, G., Dong, Y., Tang, Z., Gu, Y., Tang, W., and Hou, Y.: Assessing the impact of Chinese FY-3/MERSI AOD data assimilation on air quality forecasts: sand dust events in northeast China, Atmos. Environ., 205, 78–89, https://doi.org/10.1016/j.atmosenv.2019.02.026, 2019. 
Barnard, J. C., Fast, J. D., Paredes-Miranda, G., Arnott, W. P., and Laskin, A.: Technical Note: Evaluation of the WRF-Chem “Aerosol Chemical to Aerosol Optical Properties” Module using data from the MILAGRO campaign, Atmos. Chem. Phys., 10, 7325–7340, https://doi.org/10.5194/acp-10-7325-2010, 2010. 
Bond, T. C. and Bergstrom, R. W.: Light absorption by carbonaceous particles: an investigative review, Aerosol Sci. Tech., 40, 27–67, https://doi.org/10.1080/02786820500421521, 2006. 
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Aerosol simulation in WRF-Chem often uses the MOSAIC aerosol mechanism. Still, we need variational data assimilation (DA) for the MOSAIC aerosols to blend aerosol optical measurements. This study provides a developed GSI variational DA system, with a tangent linear operator designed for multi-source and multi-wavelength aerosol optical measurements. We successfully applied the DA system in an aerosol field campaign to assimilate aerosol optical data in northwestern China.
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