Articles | Volume 8, issue 6
Geosci. Model Dev., 8, 1857–1876, 2015
Geosci. Model Dev., 8, 1857–1876, 2015

Model description paper 23 Jun 2015

Model description paper | 23 Jun 2015

Development and application of the WRFPLUS-Chem online chemistry adjoint and WRFDA-Chem assimilation system

J. J. Guerrette and D. K. Henze

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Cited articles

Al-Saadi, J., Soja, A. J., Pierce, R. B., Szykman, J., Wiedinmyer, C., Emmons, L., Kondragunta, S., Zhang, X., Kittaka, C., Schaack, T., and Bowman, K.: Intercomparison of near-real-time biomass burning emissions estimates constrained by satellite fire data, J. Appl. Remote Sens., 2, 021504,, 2008.
Anenberg, S. C., Talgo, K., Arunachalam, S., Dolwick, P., Jang, C., and West, J. J.: Impacts of global, regional, and sectoral black carbon emission reductions on surface air quality and human mortality, Atmos. Chem. Phys., 11, 7253–7267,, 2011.
Barker, D., Lee, M.-S., Guo, Y.-R., Huang, W., Huang, H., and Rizvi, Q.: WRF-Var – a unified 3/4D-Var variational data assimilation system for WRF, in: Sixth WRF/15th MM5 Users' Workshop, Boulder, CO, NCAR, 17 pp., available at: (last access: 20 February 2015), 2005.
Barker, D. M., Huang, W., Guo, Y.-R., Bourgeois, A. J., and Xiao, Q. N.: A three-dimensional variational data assimilation system for MM5: implementation and initial results, Mon. Weather Rev., 132, 897–914, 2004.
Short summary
WRFPLUS-Chem is a coupled meteorology-chemistry adjoint and tangent linear model, with applications in sensitivity analysis and four-dimensional variational data assimilation. The linearized models are verified against finite difference approximations from the nonlinear forward model, WRF-Chem. A new checkpointing scheme enables data assimilation beyond 6h. New capabilities are demonstrated in an emission sensitivity study.