Articles | Volume 8, issue 6
https://doi.org/10.5194/gmd-8-1857-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-8-1857-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
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
CORRESPONDING AUTHOR
Department of Mechanical Engineering, University of Colorado, Boulder, CO, 80309, USA
D. K. Henze
Department of Mechanical Engineering, University of Colorado, Boulder, CO, 80309, USA
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Cited
15 citations as recorded by crossref.
- Top-down vehicle emission inventory for spatial distribution and dispersion modeling of particulate matter W. Andreão et al. https://doi.org/10.1007/s11356-020-08476-y
- Convergence analysis of the adjoint ensemble method in inverse source problems for advection-diffusion-reaction models with image-type measurements A. Penenko https://doi.org/10.3934/ipi.2020035
- Fundamentals of data assimilation applied to biogeochemistry P. Rayner et al. https://doi.org/10.5194/acp-19-13911-2019
- Development of the CMA-GFS-AERO 4D-Var assimilation system v1.0 – Part 1: System description and preliminary experimental results Y. Liu et al. https://doi.org/10.5194/gmd-18-4855-2025
- Assimilation of satellite NO2 observations at high spatial resolution using OSSEs X. Liu et al. https://doi.org/10.5194/acp-17-7067-2017
- Attribution of PM2.5 exposure in Beijing–Tianjin–Hebei region to emissions: implication to control strategies X. Li et al. https://doi.org/10.1016/j.scib.2017.06.005
- Source backtracking for dust storm emission inversion using an adjoint method: case study of Northeast China J. Jin et al. https://doi.org/10.5194/acp-20-15207-2020
- Elevated surface ozone concentration caused by subtropical cyclones and topographical effect: Model simulation and field measurement K. Lo et al. https://doi.org/10.1016/j.uclim.2024.102093
- WRF‐TEB: Implementation and Evaluation of the Coupled Weather Research and Forecasting (WRF) and Town Energy Balance (TEB) Model D. Meyer et al. https://doi.org/10.1029/2019MS001961
- Four-dimensional variational inversion of black carbon emissions during ARCTAS-CARB with WRFDA-Chem J. Guerrette & D. Henze https://doi.org/10.5194/acp-17-7605-2017
- Improving PM2. 5 forecast over China by the joint adjustment of initial conditions and source emissions with an ensemble Kalman filter Z. Peng et al. https://doi.org/10.5194/acp-17-4837-2017
- Development of the tangent linear and adjoint models of the global online chemical transport model MPAS-CO2 v7.3 T. Zheng et al. https://doi.org/10.5194/gmd-17-1543-2024
- Sensitivity analysis of the meteorological preprocessor MPP-FMI 3.0 using algorithmic differentiation J. Backman et al. https://doi.org/10.5194/gmd-10-3793-2017
- Development of the WRF-CO2 4D-Var assimilation system v1.0 T. Zheng et al. https://doi.org/10.5194/gmd-11-1725-2018
- Evaluating the Impact of Emissions Regulations on the Emissions Reduction During the 2015 China Victory Day Parade With an Ensemble Square Root Filter K. Chu et al. https://doi.org/10.1002/2017JD027631
15 citations as recorded by crossref.
- Top-down vehicle emission inventory for spatial distribution and dispersion modeling of particulate matter W. Andreão et al. https://doi.org/10.1007/s11356-020-08476-y
- Convergence analysis of the adjoint ensemble method in inverse source problems for advection-diffusion-reaction models with image-type measurements A. Penenko https://doi.org/10.3934/ipi.2020035
- Fundamentals of data assimilation applied to biogeochemistry P. Rayner et al. https://doi.org/10.5194/acp-19-13911-2019
- Development of the CMA-GFS-AERO 4D-Var assimilation system v1.0 – Part 1: System description and preliminary experimental results Y. Liu et al. https://doi.org/10.5194/gmd-18-4855-2025
- Assimilation of satellite NO2 observations at high spatial resolution using OSSEs X. Liu et al. https://doi.org/10.5194/acp-17-7067-2017
- Attribution of PM2.5 exposure in Beijing–Tianjin–Hebei region to emissions: implication to control strategies X. Li et al. https://doi.org/10.1016/j.scib.2017.06.005
- Source backtracking for dust storm emission inversion using an adjoint method: case study of Northeast China J. Jin et al. https://doi.org/10.5194/acp-20-15207-2020
- Elevated surface ozone concentration caused by subtropical cyclones and topographical effect: Model simulation and field measurement K. Lo et al. https://doi.org/10.1016/j.uclim.2024.102093
- WRF‐TEB: Implementation and Evaluation of the Coupled Weather Research and Forecasting (WRF) and Town Energy Balance (TEB) Model D. Meyer et al. https://doi.org/10.1029/2019MS001961
- Four-dimensional variational inversion of black carbon emissions during ARCTAS-CARB with WRFDA-Chem J. Guerrette & D. Henze https://doi.org/10.5194/acp-17-7605-2017
- Improving PM2. 5 forecast over China by the joint adjustment of initial conditions and source emissions with an ensemble Kalman filter Z. Peng et al. https://doi.org/10.5194/acp-17-4837-2017
- Development of the tangent linear and adjoint models of the global online chemical transport model MPAS-CO2 v7.3 T. Zheng et al. https://doi.org/10.5194/gmd-17-1543-2024
- Sensitivity analysis of the meteorological preprocessor MPP-FMI 3.0 using algorithmic differentiation J. Backman et al. https://doi.org/10.5194/gmd-10-3793-2017
- Development of the WRF-CO2 4D-Var assimilation system v1.0 T. Zheng et al. https://doi.org/10.5194/gmd-11-1725-2018
- Evaluating the Impact of Emissions Regulations on the Emissions Reduction During the 2015 China Victory Day Parade With an Ensemble Square Root Filter K. Chu et al. https://doi.org/10.1002/2017JD027631
Saved (final revised paper)
Latest update: 22 Jul 2026
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...
