Articles | 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.
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.
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
12 citations as recorded by crossref.
- Four-dimensional variational inversion of black carbon emissions during ARCTAS-CARB with WRFDA-Chem J. Guerrette & D. Henze 10.5194/acp-17-7605-2017
- Top-down vehicle emission inventory for spatial distribution and dispersion modeling of particulate matter W. Andreão et al. 10.1007/s11356-020-08476-y
- Improving PM<sub>2. 5</sub> forecast over China by the joint adjustment of initial conditions and source emissions with an ensemble Kalman filter Z. Peng et al. 10.5194/acp-17-4837-2017
- Sensitivity analysis of the meteorological preprocessor MPP-FMI 3.0 using algorithmic differentiation J. Backman et al. 10.5194/gmd-10-3793-2017
- Development of the WRF-CO2 4D-Var assimilation system v1.0 T. Zheng et al. 10.5194/gmd-11-1725-2018
- Fundamentals of data assimilation applied to biogeochemistry P. Rayner et al. 10.5194/acp-19-13911-2019
- Assimilation of satellite NO<sub>2</sub> observations at high spatial resolution using OSSEs X. Liu et al. 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. 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. 10.5194/acp-20-15207-2020
- 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. 10.1002/2017JD027631
- WRF‐TEB: Implementation and Evaluation of the Coupled Weather Research and Forecasting (WRF) and Town Energy Balance (TEB) Model D. Meyer et al. 10.1029/2019MS001961
- Wildfire Detection Probability of MODIS Fire Products under the Constraint of Environmental Factors: A Study Based on Confirmed Ground Wildfire Records L. Ying et al. 10.3390/rs11243031
11 citations as recorded by crossref.
- Four-dimensional variational inversion of black carbon emissions during ARCTAS-CARB with WRFDA-Chem J. Guerrette & D. Henze 10.5194/acp-17-7605-2017
- Top-down vehicle emission inventory for spatial distribution and dispersion modeling of particulate matter W. Andreão et al. 10.1007/s11356-020-08476-y
- Improving PM<sub>2. 5</sub> forecast over China by the joint adjustment of initial conditions and source emissions with an ensemble Kalman filter Z. Peng et al. 10.5194/acp-17-4837-2017
- Sensitivity analysis of the meteorological preprocessor MPP-FMI 3.0 using algorithmic differentiation J. Backman et al. 10.5194/gmd-10-3793-2017
- Development of the WRF-CO2 4D-Var assimilation system v1.0 T. Zheng et al. 10.5194/gmd-11-1725-2018
- Fundamentals of data assimilation applied to biogeochemistry P. Rayner et al. 10.5194/acp-19-13911-2019
- Assimilation of satellite NO<sub>2</sub> observations at high spatial resolution using OSSEs X. Liu et al. 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. 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. 10.5194/acp-20-15207-2020
- 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. 10.1002/2017JD027631
- WRF‐TEB: Implementation and Evaluation of the Coupled Weather Research and Forecasting (WRF) and Town Energy Balance (TEB) Model D. Meyer et al. 10.1029/2019MS001961
Saved (final revised paper)
Latest update: 17 Sep 2021
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...
