Articles | Volume 15, issue 2
Geosci. Model Dev., 15, 467–491, 2022
https://doi.org/10.5194/gmd-15-467-2022
Geosci. Model Dev., 15, 467–491, 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 et al.

Data sets

ATom: Merged Atmospheric Chemistry, Trace Gases, and Aerosols S. C. Wofsy, S. Afshar, H. M. Allen, E. Apel, E. C. Asher, B. Barletta, J. Bent, H. Bian, B. C. Biggs, D. R. Blake, N. Blake, I. Bourgeois, C. A. Brock, W. H. Brune, J. W. Budney, T. P. Bui, A. Butler, P. Campuzano-Jost, C. S. Chang, M. Chin, R. Commane, G. Correa, J. D. Crounse, P. D. Cullis, B. C. Daube, D. A. Day, J. M. Dean-Day, J. E. Dibb, J. P. DiGangi, G. S. Diskin, M. Dollner, J. W. Elkins, F. Erdesz, A. M. Fiore, C. M. Flynn, K. Froyd, D. W. Gesler, S. R. Hall, T. F. Hanisco, R. A. Hannun, A. J. Hills, E. J. Hintsa, A. Hoffman, R. S. Hornbrook, L. G. Huey, S. Hughes, J. L. Jimenez, B. J. Johnson, J. M. Katich, R. F. Keeling, M. J. Kim, A. Kupc, L. R. Lait, J.-F. Lamarque, J. Liu, K. McKain, R. J. Mclaughlin, S. Meinardi, D. O. Miller, S. A. Montzka, F. L. Moore, E. J. Morgan, D. M. Murphy, L. T. Murray, B. A. Nault, J. A. Neuman, P. A. Newman, J. M. Nicely, X. Pan, W. Paplawsky, J. Peischl, M. J. Prather, D. J. Price, E. Ray, J. M. Reeves, M. Richardson, A. W. Rollins, K. H. Rosenlof, T. B. Ryerson, E. Scheuer, G. P. Schill, J. C. Schroder, J. P. Schwarz, J. M. St.Clair, S. D. Steenrod, B. B. Stephens, S. A. Strode, C. Sweeney, D. Tanner, A. P. Teng, A. B. Thames, C. R. Thompson, K. Ullmann, P. R. Veres, N. Vieznor, N. L. Wagner, A. Watt, R. Weber, B. Weinzierl, P. Wennberg, C. J. Williamson, J. C. Wilson, G. M. Wolfe, C. T. Woods, and L. H. Zeng https://doi.org/10.3334/ornldaac/1581

Model code and software

WRF Source Codes and Graphics Software Downloads WRF Users Page http://www2.mmm.ucar.edu/wrf/users/download/get_source.html

Inline Coupling of Simple and Complex Chemistry Modules within the Global Weather Forecast model FIM (FIM-Chem v1) (Version V1) Li Zhang, A. Georg Grell, and A. Stuart McKeen https://doi.org/10.5281/zenodo.5044392

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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.