Articles | Volume 18, issue 6
https://doi.org/10.5194/acp-18-4171-2018
© Author(s) 2018. 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-18-4171-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Evaluation of modeling NO2 concentrations driven by satellite-derived and bottom-up emission inventories using in situ measurements over China
Fei Liu
CORRESPONDING AUTHOR
Royal Netherlands Meteorological Institute (KNMI), Department of
Satellite Observations, De Bilt, the Netherlands
Universities Space Research Association (USRA), GESTAR, Columbia, MD,
USA
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Ronald J. van der A
Royal Netherlands Meteorological Institute (KNMI), Department of
Satellite Observations, De Bilt, the Netherlands
Henk Eskes
Royal Netherlands Meteorological Institute (KNMI), Department of
Satellite Observations, De Bilt, the Netherlands
Jieying Ding
Royal Netherlands Meteorological Institute (KNMI), Department of
Satellite Observations, De Bilt, the Netherlands
Department of Geoscience and Remote Sensing (GRS), Delft University of
Technology, Delft, the Netherlands
Bas Mijling
Royal Netherlands Meteorological Institute (KNMI), Department of
Satellite Observations, De Bilt, the Netherlands
Viewed
Total article views: 3,104 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 28 Aug 2017)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
1,976 | 1,034 | 94 | 3,104 | 61 | 78 |
- HTML: 1,976
- PDF: 1,034
- XML: 94
- Total: 3,104
- BibTeX: 61
- EndNote: 78
Total article views: 2,537 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 27 Mar 2018)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
1,622 | 832 | 83 | 2,537 | 54 | 67 |
- HTML: 1,622
- PDF: 832
- XML: 83
- Total: 2,537
- BibTeX: 54
- EndNote: 67
Total article views: 567 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 28 Aug 2017)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
354 | 202 | 11 | 567 | 7 | 11 |
- HTML: 354
- PDF: 202
- XML: 11
- Total: 567
- BibTeX: 7
- EndNote: 11
Viewed (geographical distribution)
Total article views: 3,104 (including HTML, PDF, and XML)
Thereof 3,009 with geography defined
and 95 with unknown origin.
Total article views: 2,537 (including HTML, PDF, and XML)
Thereof 2,455 with geography defined
and 82 with unknown origin.
Total article views: 567 (including HTML, PDF, and XML)
Thereof 554 with geography defined
and 13 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
32 citations as recorded by crossref.
- Assessment of NO<sub>2</sub> observations during DISCOVER-AQ and KORUS-AQ field campaigns S. Choi et al. 10.5194/amt-13-2523-2020
- Large discrepancy between observed and modeled wintertime tropospheric NO2 variabilities due to COVID-19 controls in China J. Chen et al. 10.1088/1748-9326/ac4ec0
- Spaceborne tropospheric nitrogen dioxide (NO<sub>2</sub>) observations from 2005–2020 over the Yangtze River Delta (YRD), China: variabilities, implications, and drivers H. Yin et al. 10.5194/acp-22-4167-2022
- On‐Chip Chemiresistive Sensor Array for On‐Road NOx Monitoring with Quantification H. Moon et al. 10.1002/advs.202002014
- Technical note: Evaluation of profile retrievals of aerosols and trace gases for MAX-DOAS measurements under different aerosol scenarios based on radiative transfer simulations X. Tian et al. 10.5194/acp-21-12867-2021
- The Impact of Springtime‐Transported Air Pollutants on Local Air Quality With Satellite‐Constrained NOx Emission Adjustments Over East Asia J. Jung et al. 10.1029/2021JD035251
- External validation for statistical NO2 modelling: A study case using a high-end mobile sensing instrument M. Lu et al. 10.1016/j.apr.2021.101205
- Chemiresistive Sensor Arrays for Gas/Volatile Organic Compounds Monitoring: A Review R. Rath et al. 10.1002/adem.202200830
- Estimation and Spatiotemporal Analysis of NO2 Pollution in East Asia During 2001–2016 M. Hu et al. 10.1029/2021JD035129
- Assessment of a high-resolution NOX emission inventory using satellite observations: A case study of southern Jiangsu, China Y. Zhao et al. 10.1016/j.atmosenv.2018.07.029
- Optimization and Evaluation of SO2 Emissions Based on WRF-Chem and 3DVAR Data Assimilation Y. Hu et al. 10.3390/rs14010220
- Combing GOME-2B and OMI Satellite Data to Estimate Near-Surface NO2 of Mainland China D. Li et al. 10.1109/JSTARS.2021.3117396
- Anthropogenic NOx Emission Estimations over East China for 2015 and 2019 Using OMI Satellite Observations and the New Inverse Modeling System CIF-CHIMERE D. Savas et al. 10.3390/atmos14010154
- A Novel Hyperspectral Remote Sensing Technique with Hour-Hectometer Level Horizontal Distribution of Trace Gases: To Accurately Identify Emission Sources C. Lu et al. 10.34133/remotesensing.0098
- The Ozone Monitoring Instrument: overview of 14 years in space P. Levelt et al. 10.5194/acp-18-5699-2018
- Quantification of solid fuel combustion and aqueous chemistry contributions to secondary organic aerosol during wintertime haze events in Beijing Y. Tong et al. 10.5194/acp-21-9859-2021
- Decadal Variabilities in Tropospheric Nitrogen Oxides Over United States, Europe, and China Z. Jiang et al. 10.1029/2021JD035872
- Changing ozone sensitivity in Fujian Province, China, during 2012–2021: Importance of controlling VOC emissions N. Chen et al. 10.1016/j.envpol.2024.124757
- A new global anthropogenic SO<sub>2</sub> emission inventory for the last decade: a mosaic of satellite-derived and bottom-up emissions F. Liu et al. 10.5194/acp-18-16571-2018
- Fine-Scale Columnar and Surface NOx Concentrations over South Korea: Comparison of Surface Monitors, TROPOMI, CMAQ and CAPSS Inventory H. Kim et al. 10.3390/atmos11010101
- Estimating NOx LOTOS-EUROS CTM Emission Parameters over the Northwest of South America through 4DEnVar TROPOMI NO2 Assimilation A. Yarce Botero et al. 10.3390/atmos12121633
- NOx emissions in India derived from OMI satellite observations J. Ding et al. 10.1016/j.aeaoa.2022.100174
- Ammonia emission estimates using CrIS satellite observations over Europe J. Ding et al. 10.5194/acp-24-10583-2024
- Development of an integrated machine-learning and data assimilation framework for NOx emission inversion Y. Chen et al. 10.1016/j.scitotenv.2023.161951
- Passive sampling as a feasible tool for mapping and model evaluation of the spatial distribution of nitrogen oxides in the city of Curitiba, Brazil E. Felix et al. 10.1007/s11869-019-00701-z
- Evaluation of the LOTOS-EUROS NO<sub>2</sub> simulations using ground-based measurements and S5P/TROPOMI observations over Greece I. Skoulidou et al. 10.5194/acp-21-5269-2021
- Impacts of Horizontal Resolution on Global Data Assimilation of Satellite Measurements for Tropospheric Chemistry Analysis T. Sekiya et al. 10.1029/2020MS002180
- Improvement of the satellite-derived NO<sub><i>x</i></sub> emissions on air quality modeling and its effect on ozone and secondary inorganic aerosol formation in the Yangtze River Delta, China Y. Yang et al. 10.5194/acp-21-1191-2021
- Data‐ and Model‐Based Urban O3 Responses to NOx Changes in China and the United States X. Chen et al. 10.1029/2022JD038228
- Evaluating the methods and influencing factors of satellite-derived estimates of NOX emissions at regional scale: A case study for Yangtze River Delta, China Y. Yang et al. 10.1016/j.atmosenv.2019.117051
- Surface and aloft NO2 pollution over the greater Tokyo area observed by ground-based and MAX-DOAS measurements bridged by kilometer-scale regional air quality modeling S. Itahashi & H. Irie 10.1186/s40645-022-00474-7
- Machine learning model to predict vehicle electrification impacts on urban air quality and related human health effects V. Calatayud et al. 10.1016/j.envres.2023.115835
32 citations as recorded by crossref.
- Assessment of NO<sub>2</sub> observations during DISCOVER-AQ and KORUS-AQ field campaigns S. Choi et al. 10.5194/amt-13-2523-2020
- Large discrepancy between observed and modeled wintertime tropospheric NO2 variabilities due to COVID-19 controls in China J. Chen et al. 10.1088/1748-9326/ac4ec0
- Spaceborne tropospheric nitrogen dioxide (NO<sub>2</sub>) observations from 2005–2020 over the Yangtze River Delta (YRD), China: variabilities, implications, and drivers H. Yin et al. 10.5194/acp-22-4167-2022
- On‐Chip Chemiresistive Sensor Array for On‐Road NOx Monitoring with Quantification H. Moon et al. 10.1002/advs.202002014
- Technical note: Evaluation of profile retrievals of aerosols and trace gases for MAX-DOAS measurements under different aerosol scenarios based on radiative transfer simulations X. Tian et al. 10.5194/acp-21-12867-2021
- The Impact of Springtime‐Transported Air Pollutants on Local Air Quality With Satellite‐Constrained NOx Emission Adjustments Over East Asia J. Jung et al. 10.1029/2021JD035251
- External validation for statistical NO2 modelling: A study case using a high-end mobile sensing instrument M. Lu et al. 10.1016/j.apr.2021.101205
- Chemiresistive Sensor Arrays for Gas/Volatile Organic Compounds Monitoring: A Review R. Rath et al. 10.1002/adem.202200830
- Estimation and Spatiotemporal Analysis of NO2 Pollution in East Asia During 2001–2016 M. Hu et al. 10.1029/2021JD035129
- Assessment of a high-resolution NOX emission inventory using satellite observations: A case study of southern Jiangsu, China Y. Zhao et al. 10.1016/j.atmosenv.2018.07.029
- Optimization and Evaluation of SO2 Emissions Based on WRF-Chem and 3DVAR Data Assimilation Y. Hu et al. 10.3390/rs14010220
- Combing GOME-2B and OMI Satellite Data to Estimate Near-Surface NO2 of Mainland China D. Li et al. 10.1109/JSTARS.2021.3117396
- Anthropogenic NOx Emission Estimations over East China for 2015 and 2019 Using OMI Satellite Observations and the New Inverse Modeling System CIF-CHIMERE D. Savas et al. 10.3390/atmos14010154
- A Novel Hyperspectral Remote Sensing Technique with Hour-Hectometer Level Horizontal Distribution of Trace Gases: To Accurately Identify Emission Sources C. Lu et al. 10.34133/remotesensing.0098
- The Ozone Monitoring Instrument: overview of 14 years in space P. Levelt et al. 10.5194/acp-18-5699-2018
- Quantification of solid fuel combustion and aqueous chemistry contributions to secondary organic aerosol during wintertime haze events in Beijing Y. Tong et al. 10.5194/acp-21-9859-2021
- Decadal Variabilities in Tropospheric Nitrogen Oxides Over United States, Europe, and China Z. Jiang et al. 10.1029/2021JD035872
- Changing ozone sensitivity in Fujian Province, China, during 2012–2021: Importance of controlling VOC emissions N. Chen et al. 10.1016/j.envpol.2024.124757
- A new global anthropogenic SO<sub>2</sub> emission inventory for the last decade: a mosaic of satellite-derived and bottom-up emissions F. Liu et al. 10.5194/acp-18-16571-2018
- Fine-Scale Columnar and Surface NOx Concentrations over South Korea: Comparison of Surface Monitors, TROPOMI, CMAQ and CAPSS Inventory H. Kim et al. 10.3390/atmos11010101
- Estimating NOx LOTOS-EUROS CTM Emission Parameters over the Northwest of South America through 4DEnVar TROPOMI NO2 Assimilation A. Yarce Botero et al. 10.3390/atmos12121633
- NOx emissions in India derived from OMI satellite observations J. Ding et al. 10.1016/j.aeaoa.2022.100174
- Ammonia emission estimates using CrIS satellite observations over Europe J. Ding et al. 10.5194/acp-24-10583-2024
- Development of an integrated machine-learning and data assimilation framework for NOx emission inversion Y. Chen et al. 10.1016/j.scitotenv.2023.161951
- Passive sampling as a feasible tool for mapping and model evaluation of the spatial distribution of nitrogen oxides in the city of Curitiba, Brazil E. Felix et al. 10.1007/s11869-019-00701-z
- Evaluation of the LOTOS-EUROS NO<sub>2</sub> simulations using ground-based measurements and S5P/TROPOMI observations over Greece I. Skoulidou et al. 10.5194/acp-21-5269-2021
- Impacts of Horizontal Resolution on Global Data Assimilation of Satellite Measurements for Tropospheric Chemistry Analysis T. Sekiya et al. 10.1029/2020MS002180
- Improvement of the satellite-derived NO<sub><i>x</i></sub> emissions on air quality modeling and its effect on ozone and secondary inorganic aerosol formation in the Yangtze River Delta, China Y. Yang et al. 10.5194/acp-21-1191-2021
- Data‐ and Model‐Based Urban O3 Responses to NOx Changes in China and the United States X. Chen et al. 10.1029/2022JD038228
- Evaluating the methods and influencing factors of satellite-derived estimates of NOX emissions at regional scale: A case study for Yangtze River Delta, China Y. Yang et al. 10.1016/j.atmosenv.2019.117051
- Surface and aloft NO2 pollution over the greater Tokyo area observed by ground-based and MAX-DOAS measurements bridged by kilometer-scale regional air quality modeling S. Itahashi & H. Irie 10.1186/s40645-022-00474-7
- Machine learning model to predict vehicle electrification impacts on urban air quality and related human health effects V. Calatayud et al. 10.1016/j.envres.2023.115835
Latest update: 11 Oct 2024
Short summary
We used ground measurements from the recently developed air quality monitoring network in China to validate modeling surface NO2 concentrations from the regional chemical transport model (CTM). The CTM simulations driven by satellite-derived and bottom-up inventories show negative and positive differences against the ground measurements, respectively. Our study suggests an improvement of the distribution of emissions between urban and rural areas in the satellite-derived inventory.
We used ground measurements from the recently developed air quality monitoring network in China...
Altmetrics
Final-revised paper
Preprint