Articles | Volume 16, issue 2
https://doi.org/10.5194/acp-16-989-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-16-989-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
27 Jan 2016
Research article |
| 27 Jan 2016
Inverse modeling of black carbon emissions over China using ensemble data assimilation
P. Wang
CORRESPONDING AUTHOR
Institute of Atmospheric Composition, Key Laboratory of Atmospheric Chemistry (LAC) of China Meteorological Administration (CMA), Chinese Academy
of Meteorological Sciences (CAMS), Beijing, 100081, China
Institute of Atmospheric Composition, Key Laboratory of Atmospheric Chemistry (LAC) of China Meteorological Administration (CMA), Chinese Academy
of Meteorological Sciences (CAMS), Beijing, 100081, China
Y. Q. Wang
Institute of Atmospheric Composition, Key Laboratory of Atmospheric Chemistry (LAC) of China Meteorological Administration (CMA), Chinese Academy
of Meteorological Sciences (CAMS), Beijing, 100081, China
X. Y. Zhang
Institute of Atmospheric Composition, Key Laboratory of Atmospheric Chemistry (LAC) of China Meteorological Administration (CMA), Chinese Academy
of Meteorological Sciences (CAMS), Beijing, 100081, China
S. L. Gong
Institute of Atmospheric Composition, Key Laboratory of Atmospheric Chemistry (LAC) of China Meteorological Administration (CMA), Chinese Academy
of Meteorological Sciences (CAMS), Beijing, 100081, China
M. Xue
Institute of Atmospheric Composition, Key Laboratory of Atmospheric Chemistry (LAC) of China Meteorological Administration (CMA), Chinese Academy
of Meteorological Sciences (CAMS), Beijing, 100081, China
C. H. Zhou
Institute of Atmospheric Composition, Key Laboratory of Atmospheric Chemistry (LAC) of China Meteorological Administration (CMA), Chinese Academy
of Meteorological Sciences (CAMS), Beijing, 100081, China
H. L. Liu
Institute of Atmospheric Composition, Key Laboratory of Atmospheric Chemistry (LAC) of China Meteorological Administration (CMA), Chinese Academy
of Meteorological Sciences (CAMS), Beijing, 100081, China
X. Q. An
Institute of Atmospheric Composition, Key Laboratory of Atmospheric Chemistry (LAC) of China Meteorological Administration (CMA), Chinese Academy
of Meteorological Sciences (CAMS), Beijing, 100081, China
T. Niu
Institute of Atmospheric Composition, Key Laboratory of Atmospheric Chemistry (LAC) of China Meteorological Administration (CMA), Chinese Academy
of Meteorological Sciences (CAMS), Beijing, 100081, China
Y. L. Cheng
Institute of Atmospheric Composition, Key Laboratory of Atmospheric Chemistry (LAC) of China Meteorological Administration (CMA), Chinese Academy
of Meteorological Sciences (CAMS), Beijing, 100081, China
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Cited
20 citations as recorded by crossref.
- 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
- Combined effect of surface PM2.5 assimilation and aerosol-radiation interaction on winter severe haze prediction in central and eastern China Y. Peng et al. 10.1016/j.apr.2023.101802
- Changes in black carbon emissions over Europe due to COVID-19 lockdowns N. Evangeliou et al. 10.5194/acp-21-2675-2021
- Wintertime direct radiative effects due to black carbon (BC) over the Indo-Gangetic Plain as modelled with new BC emission inventories in CHIMERE S. Ghosh et al. 10.5194/acp-21-7671-2021
- Air quality impacts of the 2018 Mt. Kilauea Volcano eruption in Hawaii: A regional chemical transport model study with satellite-constrained emissions Y. Tang et al. 10.1016/j.atmosenv.2020.117648
- Direct and Inverse Reduced-Form Models for Reciprocal Calculation of BC Emissions and Atmospheric Concentrations X. Yu et al. 10.1021/acs.est.1c02174
- Source apportionment of ambient concentration and population exposure to elemental carbon in South Korea using a three-dimensional air quality model K. Son et al. 10.1007/s11869-022-01213-z
- Compensatory effect of biomass burning on black carbon concentrations during COVID-19 lockdown at a high-altitude station in SW India S. Mukherjee et al. 10.1016/j.apr.2022.101566
- MICS-Asia III: multi-model comparison and evaluation of aerosol over East Asia L. Chen et al. 10.5194/acp-19-11911-2019
- A new inverse modeling approach for emission sources based on the DDM-3D and 3DVAR techniques: an application to air quality forecasts in the Beijing–Tianjin–Hebei region X. Cheng et al. 10.5194/acp-21-13747-2021
- Temporal variation and source identification of black carbon at Lin’an and Longfengshan regional background stations in China S. Cheng et al. 10.1007/s13351-017-7030-5
- Chemistry‐Weather Interacted Model System GRAPES_Meso5.1/CUACE CW V1.0: Development, Evaluation and Application in Better Haze/Fog Prediction in China H. Wang et al. 10.1029/2022MS003222
- Long-term variability in black carbon emissions constrained by gap-filled absorption aerosol optical depth and associated premature mortality in China W. Zhao et al. 10.5194/acp-24-6593-2024
- Retrievals of fine mode light-absorbing carbonaceous aerosols from POLDER/PARASOL observations over East and South Asia L. Li et al. 10.1016/j.rse.2020.111913
- Long-term observations of black carbon mass concentrations at Fukue Island, western Japan, during 2009–2015: constraining wet removal rates and emission strengths from East Asia Y. Kanaya et al. 10.5194/acp-16-10689-2016
- Adjusting elemental carbon emissions in Northeast Asia using observed surface concentrations of downwind area and simulated contributions Y. Kang et al. 10.1016/j.envint.2023.108069
- Implementation and application of ensemble optimal interpolation on an operational chemistry weather model for improving PM2.5 and visibility predictions S. Li et al. 10.5194/gmd-16-4171-2023
- Estimates of spatially and temporally resolved constrained black carbon emission over the Indian region using a strategic integrated modelling approach S. Verma et al. 10.1016/j.atmosres.2017.05.007
- Top-down estimates of black carbon emissions at high latitudes using an atmospheric transport model and a Bayesian inversion framework N. Evangeliou et al. 10.5194/acp-18-15307-2018
- The determination of highly time-resolved and source-separated black carbon emission rates using radon as a tracer of atmospheric dynamics A. Gregorič et al. 10.5194/acp-20-14139-2020
20 citations as recorded by crossref.
- 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
- Combined effect of surface PM2.5 assimilation and aerosol-radiation interaction on winter severe haze prediction in central and eastern China Y. Peng et al. 10.1016/j.apr.2023.101802
- Changes in black carbon emissions over Europe due to COVID-19 lockdowns N. Evangeliou et al. 10.5194/acp-21-2675-2021
- Wintertime direct radiative effects due to black carbon (BC) over the Indo-Gangetic Plain as modelled with new BC emission inventories in CHIMERE S. Ghosh et al. 10.5194/acp-21-7671-2021
- Air quality impacts of the 2018 Mt. Kilauea Volcano eruption in Hawaii: A regional chemical transport model study with satellite-constrained emissions Y. Tang et al. 10.1016/j.atmosenv.2020.117648
- Direct and Inverse Reduced-Form Models for Reciprocal Calculation of BC Emissions and Atmospheric Concentrations X. Yu et al. 10.1021/acs.est.1c02174
- Source apportionment of ambient concentration and population exposure to elemental carbon in South Korea using a three-dimensional air quality model K. Son et al. 10.1007/s11869-022-01213-z
- Compensatory effect of biomass burning on black carbon concentrations during COVID-19 lockdown at a high-altitude station in SW India S. Mukherjee et al. 10.1016/j.apr.2022.101566
- MICS-Asia III: multi-model comparison and evaluation of aerosol over East Asia L. Chen et al. 10.5194/acp-19-11911-2019
- A new inverse modeling approach for emission sources based on the DDM-3D and 3DVAR techniques: an application to air quality forecasts in the Beijing–Tianjin–Hebei region X. Cheng et al. 10.5194/acp-21-13747-2021
- Temporal variation and source identification of black carbon at Lin’an and Longfengshan regional background stations in China S. Cheng et al. 10.1007/s13351-017-7030-5
- Chemistry‐Weather Interacted Model System GRAPES_Meso5.1/CUACE CW V1.0: Development, Evaluation and Application in Better Haze/Fog Prediction in China H. Wang et al. 10.1029/2022MS003222
- Long-term variability in black carbon emissions constrained by gap-filled absorption aerosol optical depth and associated premature mortality in China W. Zhao et al. 10.5194/acp-24-6593-2024
- Retrievals of fine mode light-absorbing carbonaceous aerosols from POLDER/PARASOL observations over East and South Asia L. Li et al. 10.1016/j.rse.2020.111913
- Long-term observations of black carbon mass concentrations at Fukue Island, western Japan, during 2009–2015: constraining wet removal rates and emission strengths from East Asia Y. Kanaya et al. 10.5194/acp-16-10689-2016
- Adjusting elemental carbon emissions in Northeast Asia using observed surface concentrations of downwind area and simulated contributions Y. Kang et al. 10.1016/j.envint.2023.108069
- Implementation and application of ensemble optimal interpolation on an operational chemistry weather model for improving PM2.5 and visibility predictions S. Li et al. 10.5194/gmd-16-4171-2023
- Estimates of spatially and temporally resolved constrained black carbon emission over the Indian region using a strategic integrated modelling approach S. Verma et al. 10.1016/j.atmosres.2017.05.007
- Top-down estimates of black carbon emissions at high latitudes using an atmospheric transport model and a Bayesian inversion framework N. Evangeliou et al. 10.5194/acp-18-15307-2018
- The determination of highly time-resolved and source-separated black carbon emission rates using radon as a tracer of atmospheric dynamics A. Gregorič et al. 10.5194/acp-20-14139-2020
Saved (final revised paper)
Saved (final revised paper)
Latest update: 21 Nov 2024
Short summary
An ensemble optimal interpolation (EnOI) data assimilation technique is used to investigate the possibility of optimally recovering the spatially resolved emissions bias of BC. The inversed emission over China in January is 240.1 Gg, and annual emission is about 2539 Gg. Even though only monthly mean BC measurements are employed to inverse the emissions, the accuracy of the daily model simulation improves. We finds that EnOI is a useful and computation-free method to make top-down estimation.
An ensemble optimal interpolation (EnOI) data assimilation technique is used to investigate the...
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