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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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Volume 8, issue 6
Geosci. Model Dev., 8, 1857–1876, 2015
https://doi.org/10.5194/gmd-8-1857-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
Geosci. Model Dev., 8, 1857–1876, 2015
https://doi.org/10.5194/gmd-8-1857-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

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, https://doi.org/10.1117/1.2948785, 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, https://doi.org/10.5194/acp-11-7253-2011, 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: http://www2.mmm.ucar.edu/wrf/users/workshops/WS2005/presentations/session10/1-Barker.pdf (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.
Publications Copernicus
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.
WRFPLUS-Chem is a coupled meteorology-chemistry adjoint and tangent linear model, with...
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