Articles | Volume 15, issue 2
https://doi.org/10.5194/gmd-15-467-2022
https://doi.org/10.5194/gmd-15-467-2022
Model description paper
 | 
20 Jan 2022
Model description paper |  | 20 Jan 2022

Inline coupling of simple and complex chemistry modules within the global weather forecast model FIM (FIM-Chem v1)

Li Zhang, Georg A. Grell, Stuart A. McKeen, Ravan Ahmadov, Karl D. Froyd, and Daniel Murphy

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Cited articles

Ahmadov, R., McKeen, S. A., Robinson, A., Bahreini, R., Middlebrook, A., de Gouw, J., Meagher, J., Hsie, E., Edgerton, E., Shaw, S., and Trainer, M.: A volatility basis set model for summertime secondary organic aerosols over the eastern United States in 2006, J. Geophys. Res., 117, D06301, https://doi.org/10.1029/2011JD016831, 2012. 
Ahmadov, R., Grell, G., James, E., Csiszar, I., Tsidulko, M., Pierce, B., McKeen, S., Benjamin, S., Alexander, C., Pereira, G., Freitas S., and Glodberg, M.: Using VIIRS Fire Radiative Power data to simulate biomass burning emissions, plume rise and smoke transport in a real-time air quality modeling system, 2017 IEEE International Geoscience and Remote Sensing Symposium, IEEE International Symposium on Geoscience and Remote Sensing IGARSS, IEEE, New York, 23–28 July 2017, 2806–2808, https://doi.org/10.1109/IGARSS.2017.8127581, 2017. 
Andreae, M. O. and Merlet, P.: Emission of trace gases and aerosols from biomass burning, Global Biogeochem. Cy., 15, 955–966, 2001. 
Bahadur, R., Feng, Y., Russell, M. L., and Ramanathan, V.: Impact of California's air pollution laws on black carbon and their implications for direct radiative forcing, Atmos. Environ., 45, 1162–1167, https://doi.org/10.1016/j.atmosenv.2010.10.054, 2011. 
Balkanski, Y. J., Jacob, D. J., Gardner, G. M., Graustein, W. C., and Turekian, K. K.: Transport and residence times of tropospheric aerosols inferred from a global three-dimensional simulation of 210Pb, J. Geophys. Res., 98, 20573, https://doi.org/10.1029/93JD02456, 1993. 
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Short summary
Applying the chemistry package from WRF-Chem into the Flow-following finite-volume Icosahedra Model, we essentially make it possible to explore the importance of different levels of complexity in gas and aerosol chemistry, as well as in physics parameterizations, for the interaction processes in global modeling systems. The model performance validated by the Atmospheric Tomography Mission aircraft measurements in summer 2016 shows good performance in capturing the aerosol and gas-phase tracers.