Articles | Volume 17, issue 6
https://doi.org/10.5194/acp-17-4131-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/acp-17-4131-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
28 Mar 2017
Research article |
| 28 Mar 2017
Impact of spatial proxies on the representation of bottom-up emission inventories: A satellite-based analysis
Guannan Geng
Ministry of Education Key Laboratory for Earth System Modeling,
Department of Earth System Science, Tsinghua University, Beijing, China
Qiang Zhang
CORRESPONDING AUTHOR
Ministry of Education Key Laboratory for Earth System Modeling,
Department of Earth System Science, Tsinghua University, Beijing, China
Randall V. Martin
Department of Physics and Atmospheric Science, Dalhousie University,
Halifax, NS, Canada
Smithsonian Astrophysical Observatory, Harvard–Smithsonian Center for Astrophysics, Cambridge, MA, USA
Jintai Lin
Laboratory for Climate and Ocean-Atmosphere Studies, Department of
Atmospheric and Oceanic Sciences, School of Physics, Peking University,
Beijing, China
Hong Huo
Institute of Energy, Environment and Economy, Tsinghua University,
Beijing, China
State Key Joint Laboratory of Environment Simulation and Pollution
Control, School of Environment, Tsinghua University, Beijing, China
Siwen Wang
State Key Joint Laboratory of Environment Simulation and Pollution
Control, School of Environment, Tsinghua University, Beijing, China
Max Planck Institute for Chemistry, Mainz, Germany
Kebin He
State Key Joint Laboratory of Environment Simulation and Pollution
Control, School of Environment, Tsinghua University, Beijing, China
Viewed
Total article views: 4,427 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 24 Oct 2016)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,882 | 1,425 | 120 | 4,427 | 110 | 168 |
- HTML: 2,882
- PDF: 1,425
- XML: 120
- Total: 4,427
- BibTeX: 110
- EndNote: 168
Total article views: 3,823 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 28 Mar 2017)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,499 | 1,214 | 110 | 3,823 | 100 | 156 |
- HTML: 2,499
- PDF: 1,214
- XML: 110
- Total: 3,823
- BibTeX: 100
- EndNote: 156
Total article views: 604 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 24 Oct 2016)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 383 | 211 | 10 | 604 | 10 | 12 |
- HTML: 383
- PDF: 211
- XML: 10
- Total: 604
- BibTeX: 10
- EndNote: 12
Viewed (geographical distribution)
Total article views: 4,427 (including HTML, PDF, and XML)
Thereof 4,410 with geography defined
and 17 with unknown origin.
Total article views: 3,823 (including HTML, PDF, and XML)
Thereof 3,823 with geography defined
and 0 with unknown origin.
Total article views: 604 (including HTML, PDF, and XML)
Thereof 585 with geography defined
and 19 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
68 citations as recorded by crossref.
- A meteorologically adjusted ensemble Kalman filter approach for inversing daily emissions: A case study in the Pearl River Delta, China G. Jia et al. 10.1016/j.jes.2021.08.048
- High-resolution (0.05° × 0.05°) NOx emissions in the Yangtze River Delta inferred from OMI H. Kong et al. 10.5194/acp-19-12835-2019
- Inequality in historical transboundary anthropogenic PM2.5 health impacts L. Chen et al. 10.1016/j.scib.2021.11.007
- Comparing sources of uncertainty in community greenhouse gas estimation techniques M. Blackhurst & H. Matthews 10.1088/1748-9326/ac6084
- Bottom–Up Inventory of Residential Combustion Emissions in Poland for National Air Quality Modelling: Current Status and Perspectives L. Gawuc et al. 10.3390/atmos12111460
- Unveiling tropospheric ozone by the traditional atmospheric model and machine learning, and their comparison:A case study in hangzhou, China R. Feng et al. 10.1016/j.envpol.2019.05.101
- Estimating PM2.5 concentrations in Northeastern China with full spatiotemporal coverage, 2005–2016 X. Meng et al. 10.1016/j.rse.2020.112203
- Heterogeneous sulfate aerosol formation mechanisms during wintertime Chinese haze events: air quality model assessment using observations of sulfate oxygen isotopes in Beijing J. Shao et al. 10.5194/acp-19-6107-2019
- A multi-pollutant and multi-sectorial approach to screening the consistency of emission inventories P. Thunis et al. 10.5194/gmd-15-5271-2022
- Significant wintertime PM2.5 mitigation in the Yangtze River Delta, China, from 2016 to 2019: observational constraints on anthropogenic emission controls L. Wang et al. 10.5194/acp-20-14787-2020
- Neglected biomass burning emissions of air pollutants in China-views from the corncob burning test, emission estimation, and simulations J. Wu et al. 10.1016/j.atmosenv.2022.119082
- A novel method for spatial allocation of volatile chemical products emissions: A case study of the Pearl River Delta Z. Cai et al. 10.1016/j.atmosenv.2023.120119
- Mapping anthropogenic emissions in China at 1 km spatial resolution and its application in air quality modeling B. Zheng et al. 10.1016/j.scib.2020.12.008
- Identifying hotspots based on high-resolution emission inventory of volatile organic compounds: A case study in China X. Liu et al. 10.1016/j.jenvman.2021.112419
- Spatiotemporal variability of NO2 and PM2.5 over Eastern China: observational and model analyses with a novel statistical method M. Liu et al. 10.5194/acp-18-12933-2018
- Tracking daily NOx emissions from an urban agglomeration based on TROPOMI NO2 and a local ensemble transform Kalman filter Y. Kong et al. 10.5194/acp-25-5959-2025
- Spatial inter-comparison of Top-down emission inventories in European urban areas M. Trombetti et al. 10.1016/j.atmosenv.2017.10.032
- Impact of aging on the sources, volatility, and viscosity of organic aerosols in Chinese outflows T. Feng et al. 10.5194/acp-23-611-2023
- Downscaling atmospheric emission inventories with “top–down” approach: the support of the literature in choosing proxy variables S. Marinello et al. 10.1007/s13762-024-05490-2
- Spatiotemporal dynamics of CO2 emissions from central heating supply in the North China Plain over 2012–2016 due to natural gas usage Y. Cui et al. 10.1016/j.apenergy.2019.03.060
- Improved spatial representation of a highly resolved emission inventory in China: evidence from TROPOMI measurements N. Wu et al. 10.1088/1748-9326/ac175f
- A hybrid model approach for estimating health burden from NO2 in megacities in China: a case study in Guangzhou B. He et al. 10.1088/1748-9326/ab4f96
- Impact of Meteorological Conditions on PM2.5 Pollution in China during Winter Y. Xu et al. 10.3390/atmos9110429
- Constraining emission estimates of carbon monoxide using a perturbed emissions ensemble with observations: a focus on Beijing L. Yuan et al. 10.1007/s11869-021-01041-7
- Impacts of biogenic and anthropogenic emissions on summertime ozone formation in the Guanzhong Basin, China N. Li et al. 10.5194/acp-18-7489-2018
- Historical transboundary ozone health impact linked to affluence L. Chen et al. 10.1088/1748-9326/ac9009
- Fast optimization of the emission reduction pathways of major air pollutants in China: From the perspective of different decision preferences Y. Wang et al. 10.1016/j.envint.2025.109282
- The sensitivity of satellite-based PM2.5 estimates to its inputs: Implications to model development in data-poor regions G. Geng et al. 10.1016/j.envint.2018.09.051
- Satellite detected weak decline of nitrogen oxides emissions in economically small cities of China H. Kong et al. 10.1088/1748-9326/ade170
- Satellite-based estimates of decline and rebound in China’s CO 2 emissions during COVID-19 pandemic B. Zheng et al. 10.1126/sciadv.abd4998
- Spatial distribution of residential wood combustion emissions in the Nordic countries: How well national inventories represent local emissions? V. Paunu et al. 10.1016/j.atmosenv.2021.118712
- Towards reducing inter-city economic inequality embedded in China’s environmental protection tax law J. Wang et al. 10.1088/1748-9326/ac34bd
- Emission and simulation of primary fine and submicron particles and water-soluble ions from domestic coal combustion in China Q. Yan et al. 10.1016/j.atmosenv.2020.117308
- Regional CO emission estimated from ground-based remote sensing at Hefei site, China C. Shan et al. 10.1016/j.atmosres.2019.02.005
- Estimating Daily NOx and CO2 Emissions in Typical Megacities of East China Using TROPOMI NO2 observations Y. Jia et al. 10.1016/j.atmosenv.2025.121377
- Drivers of Increasing Ozone during the Two Phases of Clean Air Actions in China 2013–2020 Y. Liu et al. 10.1021/acs.est.3c00054
- Photochemical formation process of ozone and spatiotemporally targeted control strategies along the transport pathways in the Pearl River Delta region Y. Li et al. 10.1016/j.jes.2025.05.032
- Comparison and evaluation of anthropogenic emissions of SO2 and NOx over China M. Li et al. 10.5194/acp-18-3433-2018
- Considerable Unaccounted Local Sources of NOx Emissions in China Revealed from Satellite H. Kong et al. 10.1021/acs.est.1c07723
- Reconstructing top-down global black carbon emissions using remote sensing and models S. Wang et al. 10.1016/j.apr.2025.102633
- Development of a unit-based industrial emission inventory in the Beijing–Tianjin–Hebei region and resulting improvement in air quality modeling H. Zheng et al. 10.5194/acp-19-3447-2019
- Rapid Inference of Nitrogen Oxide Emissions Based on a Top-Down Method with a Physically Informed Variational Autoencoder J. Xing et al. 10.1021/acs.est.1c08337
- Gridded emissions of air pollutants for the period 1970–2012 within EDGAR v4.3.2 M. Crippa et al. 10.5194/essd-10-1987-2018
- Development of a high-resolution integrated emission inventory of air pollutants for China N. Wu et al. 10.5194/essd-16-2893-2024
- Hyperspectral remote sensing for air pollutants: Stereoscopic monitoring, source localization & warning, and a dynamic emission inventory concept C. Xing et al. 10.1016/j.envint.2025.109375
- New Method for Improving Spatial Allocation Accuracy of Industrial Energy Consumption and Implications for Polycyclic Aromatic Hydrocarbon Emissions in China B. Li et al. 10.1021/acs.est.8b06915
- Air pollution emission inventory using national high-resolution spatial parameters for the Nordic countries and analysis of PM2.5 spatial distribution for road transport and machinery and off-road sectors V. Paunu et al. 10.5194/essd-16-1453-2024
- Carbon and health implications of trade restrictions J. Lin et al. 10.1038/s41467-019-12890-3
- An Observational Constraint of VOC Emissions for Air Quality Modeling Study in the Pearl River Delta Region B. Zhou et al. 10.1029/2022JD038122
- Foreign and domestic contributions to springtime ozone over China R. Ni et al. 10.5194/acp-18-11447-2018
- Retrieval of surface PM2.5 mass concentrations over North China using visibility measurements and GEOS-Chem simulations S. Li et al. 10.1016/j.atmosenv.2019.117121
- Downscaling global anthropogenic emissions for high-resolution urban air quality studies V. Valencia et al. 10.1016/j.apr.2022.101516
- Resolution dependence of uncertainties in gridded emission inventories: a case study in Hebei, China B. Zheng et al. 10.5194/acp-17-921-2017
- Using a New Top‐Down Constrained Emissions Inventory to Attribute the Previously Unknown Source of Extreme Aerosol Loadings Observed Annually in the Monsoon Asia Free Troposphere S. Wang et al. 10.1029/2021EF002167
- Impact of allocation factors on spatial disaggregation of road traffic emissions in Megacity Delhi A. Swarnkar et al. 10.1007/s11869-025-01706-7
- High-resolution modeling of gaseous air pollutants over Tehran and validation with surface and satellite data N. Shahrokhishahraki et al. 10.1016/j.atmosenv.2021.118881
- First High-Resolution Emission Inventory of Levoglucosan for Biomass Burning and Non-Biomass Burning Sources in China J. Wu et al. 10.1021/acs.est.0c06675
- Spatially resolved analysis of speciated VOC emissions and their contributions to secondary pollutant formation: a comparative assessment of anthropogenic and biogenic sources in China Y. Wang et al. 10.1016/j.envint.2025.109627
- Nonlinear impacts of urban built environment on freight emissions T. Peng et al. 10.1016/j.trd.2024.104358
- The generation of gridded emissions data for CMIP6 L. Feng et al. 10.5194/gmd-13-461-2020
- HERMESv3, a stand-alone multi-scale atmospheric emission modelling framework – Part 2: The bottom–up module M. Guevara et al. 10.5194/gmd-13-873-2020
- Inverse modeling of SO2 and NOx emissions over China using multisensor satellite data – Part 2: Downscaling techniques for air quality analysis and forecasts Y. Wang et al. 10.5194/acp-20-6651-2020
- Toward a versatile spaceborne architecture for immediate monitoring of the global methane pledge Y. Wang et al. 10.5194/acp-23-5233-2023
- Anthropogenic emission inventories in China: a review M. Li et al. 10.1093/nsr/nwx150
- Change in Tropospheric Ozone in the Recent Decades and Its Contribution to Global Total Ozone J. Liu et al. 10.1029/2022JD037170
- Impact of China’s Air Pollution Prevention and Control Action Plan on PM2.5 chemical composition over eastern China G. Geng et al. 10.1007/s11430-018-9353-x
- Impact of anthropogenic emission inventories on atmospheric CO2 concentrations simulated by GEOS-Chem W. Lu et al. 10.1016/j.atmosres.2025.108255
- Resolution dependence of uncertainties in gridded emission inventories: a case study in Hebei, China B. Zheng et al. 10.5194/acp-17-921-2017
67 citations as recorded by crossref.
- A meteorologically adjusted ensemble Kalman filter approach for inversing daily emissions: A case study in the Pearl River Delta, China G. Jia et al. 10.1016/j.jes.2021.08.048
- High-resolution (0.05° × 0.05°) NOx emissions in the Yangtze River Delta inferred from OMI H. Kong et al. 10.5194/acp-19-12835-2019
- Inequality in historical transboundary anthropogenic PM2.5 health impacts L. Chen et al. 10.1016/j.scib.2021.11.007
- Comparing sources of uncertainty in community greenhouse gas estimation techniques M. Blackhurst & H. Matthews 10.1088/1748-9326/ac6084
- Bottom–Up Inventory of Residential Combustion Emissions in Poland for National Air Quality Modelling: Current Status and Perspectives L. Gawuc et al. 10.3390/atmos12111460
- Unveiling tropospheric ozone by the traditional atmospheric model and machine learning, and their comparison:A case study in hangzhou, China R. Feng et al. 10.1016/j.envpol.2019.05.101
- Estimating PM2.5 concentrations in Northeastern China with full spatiotemporal coverage, 2005–2016 X. Meng et al. 10.1016/j.rse.2020.112203
- Heterogeneous sulfate aerosol formation mechanisms during wintertime Chinese haze events: air quality model assessment using observations of sulfate oxygen isotopes in Beijing J. Shao et al. 10.5194/acp-19-6107-2019
- A multi-pollutant and multi-sectorial approach to screening the consistency of emission inventories P. Thunis et al. 10.5194/gmd-15-5271-2022
- Significant wintertime PM2.5 mitigation in the Yangtze River Delta, China, from 2016 to 2019: observational constraints on anthropogenic emission controls L. Wang et al. 10.5194/acp-20-14787-2020
- Neglected biomass burning emissions of air pollutants in China-views from the corncob burning test, emission estimation, and simulations J. Wu et al. 10.1016/j.atmosenv.2022.119082
- A novel method for spatial allocation of volatile chemical products emissions: A case study of the Pearl River Delta Z. Cai et al. 10.1016/j.atmosenv.2023.120119
- Mapping anthropogenic emissions in China at 1 km spatial resolution and its application in air quality modeling B. Zheng et al. 10.1016/j.scib.2020.12.008
- Identifying hotspots based on high-resolution emission inventory of volatile organic compounds: A case study in China X. Liu et al. 10.1016/j.jenvman.2021.112419
- Spatiotemporal variability of NO2 and PM2.5 over Eastern China: observational and model analyses with a novel statistical method M. Liu et al. 10.5194/acp-18-12933-2018
- Tracking daily NOx emissions from an urban agglomeration based on TROPOMI NO2 and a local ensemble transform Kalman filter Y. Kong et al. 10.5194/acp-25-5959-2025
- Spatial inter-comparison of Top-down emission inventories in European urban areas M. Trombetti et al. 10.1016/j.atmosenv.2017.10.032
- Impact of aging on the sources, volatility, and viscosity of organic aerosols in Chinese outflows T. Feng et al. 10.5194/acp-23-611-2023
- Downscaling atmospheric emission inventories with “top–down” approach: the support of the literature in choosing proxy variables S. Marinello et al. 10.1007/s13762-024-05490-2
- Spatiotemporal dynamics of CO2 emissions from central heating supply in the North China Plain over 2012–2016 due to natural gas usage Y. Cui et al. 10.1016/j.apenergy.2019.03.060
- Improved spatial representation of a highly resolved emission inventory in China: evidence from TROPOMI measurements N. Wu et al. 10.1088/1748-9326/ac175f
- A hybrid model approach for estimating health burden from NO2 in megacities in China: a case study in Guangzhou B. He et al. 10.1088/1748-9326/ab4f96
- Impact of Meteorological Conditions on PM2.5 Pollution in China during Winter Y. Xu et al. 10.3390/atmos9110429
- Constraining emission estimates of carbon monoxide using a perturbed emissions ensemble with observations: a focus on Beijing L. Yuan et al. 10.1007/s11869-021-01041-7
- Impacts of biogenic and anthropogenic emissions on summertime ozone formation in the Guanzhong Basin, China N. Li et al. 10.5194/acp-18-7489-2018
- Historical transboundary ozone health impact linked to affluence L. Chen et al. 10.1088/1748-9326/ac9009
- Fast optimization of the emission reduction pathways of major air pollutants in China: From the perspective of different decision preferences Y. Wang et al. 10.1016/j.envint.2025.109282
- The sensitivity of satellite-based PM2.5 estimates to its inputs: Implications to model development in data-poor regions G. Geng et al. 10.1016/j.envint.2018.09.051
- Satellite detected weak decline of nitrogen oxides emissions in economically small cities of China H. Kong et al. 10.1088/1748-9326/ade170
- Satellite-based estimates of decline and rebound in China’s CO 2 emissions during COVID-19 pandemic B. Zheng et al. 10.1126/sciadv.abd4998
- Spatial distribution of residential wood combustion emissions in the Nordic countries: How well national inventories represent local emissions? V. Paunu et al. 10.1016/j.atmosenv.2021.118712
- Towards reducing inter-city economic inequality embedded in China’s environmental protection tax law J. Wang et al. 10.1088/1748-9326/ac34bd
- Emission and simulation of primary fine and submicron particles and water-soluble ions from domestic coal combustion in China Q. Yan et al. 10.1016/j.atmosenv.2020.117308
- Regional CO emission estimated from ground-based remote sensing at Hefei site, China C. Shan et al. 10.1016/j.atmosres.2019.02.005
- Estimating Daily NOx and CO2 Emissions in Typical Megacities of East China Using TROPOMI NO2 observations Y. Jia et al. 10.1016/j.atmosenv.2025.121377
- Drivers of Increasing Ozone during the Two Phases of Clean Air Actions in China 2013–2020 Y. Liu et al. 10.1021/acs.est.3c00054
- Photochemical formation process of ozone and spatiotemporally targeted control strategies along the transport pathways in the Pearl River Delta region Y. Li et al. 10.1016/j.jes.2025.05.032
- Comparison and evaluation of anthropogenic emissions of SO2 and NOx over China M. Li et al. 10.5194/acp-18-3433-2018
- Considerable Unaccounted Local Sources of NOx Emissions in China Revealed from Satellite H. Kong et al. 10.1021/acs.est.1c07723
- Reconstructing top-down global black carbon emissions using remote sensing and models S. Wang et al. 10.1016/j.apr.2025.102633
- Development of a unit-based industrial emission inventory in the Beijing–Tianjin–Hebei region and resulting improvement in air quality modeling H. Zheng et al. 10.5194/acp-19-3447-2019
- Rapid Inference of Nitrogen Oxide Emissions Based on a Top-Down Method with a Physically Informed Variational Autoencoder J. Xing et al. 10.1021/acs.est.1c08337
- Gridded emissions of air pollutants for the period 1970–2012 within EDGAR v4.3.2 M. Crippa et al. 10.5194/essd-10-1987-2018
- Development of a high-resolution integrated emission inventory of air pollutants for China N. Wu et al. 10.5194/essd-16-2893-2024
- Hyperspectral remote sensing for air pollutants: Stereoscopic monitoring, source localization & warning, and a dynamic emission inventory concept C. Xing et al. 10.1016/j.envint.2025.109375
- New Method for Improving Spatial Allocation Accuracy of Industrial Energy Consumption and Implications for Polycyclic Aromatic Hydrocarbon Emissions in China B. Li et al. 10.1021/acs.est.8b06915
- Air pollution emission inventory using national high-resolution spatial parameters for the Nordic countries and analysis of PM2.5 spatial distribution for road transport and machinery and off-road sectors V. Paunu et al. 10.5194/essd-16-1453-2024
- Carbon and health implications of trade restrictions J. Lin et al. 10.1038/s41467-019-12890-3
- An Observational Constraint of VOC Emissions for Air Quality Modeling Study in the Pearl River Delta Region B. Zhou et al. 10.1029/2022JD038122
- Foreign and domestic contributions to springtime ozone over China R. Ni et al. 10.5194/acp-18-11447-2018
- Retrieval of surface PM2.5 mass concentrations over North China using visibility measurements and GEOS-Chem simulations S. Li et al. 10.1016/j.atmosenv.2019.117121
- Downscaling global anthropogenic emissions for high-resolution urban air quality studies V. Valencia et al. 10.1016/j.apr.2022.101516
- Resolution dependence of uncertainties in gridded emission inventories: a case study in Hebei, China B. Zheng et al. 10.5194/acp-17-921-2017
- Using a New Top‐Down Constrained Emissions Inventory to Attribute the Previously Unknown Source of Extreme Aerosol Loadings Observed Annually in the Monsoon Asia Free Troposphere S. Wang et al. 10.1029/2021EF002167
- Impact of allocation factors on spatial disaggregation of road traffic emissions in Megacity Delhi A. Swarnkar et al. 10.1007/s11869-025-01706-7
- High-resolution modeling of gaseous air pollutants over Tehran and validation with surface and satellite data N. Shahrokhishahraki et al. 10.1016/j.atmosenv.2021.118881
- First High-Resolution Emission Inventory of Levoglucosan for Biomass Burning and Non-Biomass Burning Sources in China J. Wu et al. 10.1021/acs.est.0c06675
- Spatially resolved analysis of speciated VOC emissions and their contributions to secondary pollutant formation: a comparative assessment of anthropogenic and biogenic sources in China Y. Wang et al. 10.1016/j.envint.2025.109627
- Nonlinear impacts of urban built environment on freight emissions T. Peng et al. 10.1016/j.trd.2024.104358
- The generation of gridded emissions data for CMIP6 L. Feng et al. 10.5194/gmd-13-461-2020
- HERMESv3, a stand-alone multi-scale atmospheric emission modelling framework – Part 2: The bottom–up module M. Guevara et al. 10.5194/gmd-13-873-2020
- Inverse modeling of SO2 and NOx emissions over China using multisensor satellite data – Part 2: Downscaling techniques for air quality analysis and forecasts Y. Wang et al. 10.5194/acp-20-6651-2020
- Toward a versatile spaceborne architecture for immediate monitoring of the global methane pledge Y. Wang et al. 10.5194/acp-23-5233-2023
- Anthropogenic emission inventories in China: a review M. Li et al. 10.1093/nsr/nwx150
- Change in Tropospheric Ozone in the Recent Decades and Its Contribution to Global Total Ozone J. Liu et al. 10.1029/2022JD037170
- Impact of China’s Air Pollution Prevention and Control Action Plan on PM2.5 chemical composition over eastern China G. Geng et al. 10.1007/s11430-018-9353-x
- Impact of anthropogenic emission inventories on atmospheric CO2 concentrations simulated by GEOS-Chem W. Lu et al. 10.1016/j.atmosres.2025.108255
1 citations as recorded by crossref.
Latest update: 11 Jul 2025
Short summary
We investigated the impact of spatial proxies on the representation of gridded emissions by comparing six gridded NOx emission datasets over China developed from the same magnitude of emissions and different spatial proxies. GEOS-Chem-modeled NO2 columns from the six gridded emissions are compared with satellite-based columns from OMI. Results show that differences between modeled and satellite-based NO2 columns are sensitive to the spatial proxies used in the gridded emission inventories.
We investigated the impact of spatial proxies on the representation of gridded emissions by...
Special issue
Altmetrics
Final-revised paper
Preprint