Articles | Volume 12, issue 1
Atmos. Meas. Tech., 12, 1–21, 2019
https://doi.org/10.5194/amt-12-1-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Atmos. Meas. Tech., 12, 1–21, 2019
https://doi.org/10.5194/amt-12-1-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
02 Jan 2019
Research article
| 02 Jan 2019
Improved aerosol correction for OMI tropospheric NO2 retrieval over East Asia: constraint from CALIOP aerosol vertical profile
Mengyao Liu et al.
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Cited
38 citations as recorded by crossref.
- Effect of changing NO<sub><i>x</i></sub> lifetime on the seasonality and long-term trends of satellite-observed tropospheric NO<sub>2</sub> columns over China V. Shah et al. 10.5194/acp-20-1483-2020
- Explicit Aerosol Correction of OMI Formaldehyde Retrievals Y. Jung et al. 10.1029/2019EA000702
- Ozone Monitoring Instrument (OMI) Aura nitrogen dioxide standard product version 4.0 with improved surface and cloud treatments L. Lamsal et al. 10.5194/amt-14-455-2021
- An Adjustment Approach for Aerosol Optical Depth Inferred from CALIPSO Z. Zeng et al. 10.3390/rs13163085
- Effects of AIR pollution on cardiopuLmonary disEaSe in urban and peri-urban reSidents in Beijing: protocol for the AIRLESS study Y. Han et al. 10.5194/acp-20-15775-2020
- 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
- Analysis of long-term (2005–2018) trends in tropospheric NO2 percentiles over Northeast Asia G. Choo et al. 10.1016/j.apr.2020.05.012
- Spatially and temporally coherent reconstruction of tropospheric NO2 over China combining OMI and GOME-2B measurements Q. He et al. 10.1088/1748-9326/abc7df
- The Development and Application of Machine Learning in Atmospheric Environment Studies L. Zheng et al. 10.3390/rs13234839
- Hybrid Mass Balance/4D‐Var Joint Inversion of NO x and SO 2 Emissions in East Asia Z. Qu et al. 10.1029/2018JD030240
- 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
- Decline in bulk deposition of air pollutants in China lags behind reductions in emissions Y. Zhao et al. 10.1038/s41561-022-00899-1
- TROPOMI NO 2 in the United States: A Detailed Look at the Annual Averages, Weekly Cycles, Effects of Temperature, and Correlation With Surface NO 2 Concentrations D. Goldberg et al. 10.1029/2020EF001665
- 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
- A new TROPOMI product for tropospheric NO<sub>2</sub> columns over East Asia with explicit aerosol corrections M. Liu et al. 10.5194/amt-13-4247-2020
- 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
- Explicit and consistent aerosol correction for visible wavelength satellite cloud and nitrogen dioxide retrievals based on optical properties from a global aerosol analysis A. Vasilkov et al. 10.5194/amt-14-2857-2021
- Validation of tropospheric NO<sub>2</sub> column measurements of GOME-2A and OMI using MAX-DOAS and direct sun network observations G. Pinardi et al. 10.5194/amt-13-6141-2020
- Inter-comparison of MAX-DOAS measurements of tropospheric HONO slant column densities and vertical profiles during the CINDI-2 campaign Y. Wang et al. 10.5194/amt-13-5087-2020
- Considerable Unaccounted Local Sources of NOx Emissions in China Revealed from Satellite H. Kong et al. 10.1021/acs.est.1c07723
- The underappreciated role of agricultural soil nitrogen oxide emissions in ozone pollution regulation in North China X. Lu et al. 10.1038/s41467-021-25147-9
- MAX-DOAS observation in the midlatitude marine boundary layer: Influences of typhoon forced air mass R. Zhang et al. 10.1016/j.jes.2021.12.010
- High-resolution (0.05° × 0.05°) NO<sub><i>x</i></sub> emissions in the Yangtze River Delta inferred from OMI H. Kong et al. 10.5194/acp-19-12835-2019
- Measurement report: Long-term variations in surface NO<sub><i>x</i></sub> and SO<sub>2</sub> mixing ratios from 2006 to 2016 at a background site in the Yangtze River Delta region, China Q. Yin et al. 10.5194/acp-22-1015-2022
- An Observation‐Based Correction for Aerosol Effects on Nitrogen Dioxide Column Retrievals Using the Absorbing Aerosol Index M. Cooper et al. 10.1029/2019GL083673
- An improved air mass factor calculation for nitrogen dioxide measurements from the Global Ozone Monitoring Experiment-2 (GOME-2) S. Liu et al. 10.5194/amt-13-755-2020
- Spatio-Temporal Variability of Aerosol Optical Depth, Total Ozone and NO2 Over East Asia: Strategy for the Validation to the GEMS Scientific Products S. Park et al. 10.3390/rs12142256
- Satellite-based estimation of surface NO2 concentrations over east-central China: A comparison of POMINO and OMNO2d data K. Qin et al. 10.1016/j.atmosenv.2020.117322
- Disentangling the Impact of the COVID‐19 Lockdowns on Urban NO 2 From Natural Variability D. Goldberg et al. 10.1029/2020GL089269
- An improved TROPOMI tropospheric NO<sub>2</sub> research product over Europe S. Liu et al. 10.5194/amt-14-7297-2021
- Impacts of global NO<sub><i>x</i></sub> inversions on NO<sub>2</sub> and ozone simulations Z. Qu et al. 10.5194/acp-20-13109-2020
- The effect of recent controls on emissions and aerosol pollution at city scale: A case study for Nanjing, China Y. Zhao et al. 10.1016/j.atmosenv.2020.118080
- Multi‐Source Data Based Investigation of Aerosol‐Cloud Interaction Over the North China Plain and North of the Yangtze Plain Y. Yang et al. 10.1029/2021JD035609
- Minimizing aerosol effects on the OMI tropospheric NO<sub>2</sub> retrieval – An improved use of the 477 nm O<sub>2</sub> − O<sub>2</sub> band and an estimation of the aerosol correction uncertainty J. Chimot et al. 10.5194/amt-12-491-2019
- New Era of Air Quality Monitoring from Space: Geostationary Environment Monitoring Spectrometer (GEMS) J. Kim et al. 10.1175/BAMS-D-18-0013.1
- Assessment of Sectoral NO x Emission Reductions During COVID‐19 Lockdown Using Combined Satellite and Surface Observations and Source‐Oriented Model Simulations M. Kang et al. 10.1029/2021GL095339
- The dual-field-of-view polarization lidar technique: a new concept in monitoring aerosol effects in liquid-water clouds – case studies C. Jimenez et al. 10.5194/acp-20-15265-2020
- Ground-based validation of the Copernicus Sentinel-5P TROPOMI NO<sub>2</sub> measurements with the NDACC ZSL-DOAS, MAX-DOAS and Pandonia global networks T. Verhoelst et al. 10.5194/amt-14-481-2021
38 citations as recorded by crossref.
- Effect of changing NO<sub><i>x</i></sub> lifetime on the seasonality and long-term trends of satellite-observed tropospheric NO<sub>2</sub> columns over China V. Shah et al. 10.5194/acp-20-1483-2020
- Explicit Aerosol Correction of OMI Formaldehyde Retrievals Y. Jung et al. 10.1029/2019EA000702
- Ozone Monitoring Instrument (OMI) Aura nitrogen dioxide standard product version 4.0 with improved surface and cloud treatments L. Lamsal et al. 10.5194/amt-14-455-2021
- An Adjustment Approach for Aerosol Optical Depth Inferred from CALIPSO Z. Zeng et al. 10.3390/rs13163085
- Effects of AIR pollution on cardiopuLmonary disEaSe in urban and peri-urban reSidents in Beijing: protocol for the AIRLESS study Y. Han et al. 10.5194/acp-20-15775-2020
- 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
- Analysis of long-term (2005–2018) trends in tropospheric NO2 percentiles over Northeast Asia G. Choo et al. 10.1016/j.apr.2020.05.012
- Spatially and temporally coherent reconstruction of tropospheric NO2 over China combining OMI and GOME-2B measurements Q. He et al. 10.1088/1748-9326/abc7df
- The Development and Application of Machine Learning in Atmospheric Environment Studies L. Zheng et al. 10.3390/rs13234839
- Hybrid Mass Balance/4D‐Var Joint Inversion of NO x and SO 2 Emissions in East Asia Z. Qu et al. 10.1029/2018JD030240
- 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
- Decline in bulk deposition of air pollutants in China lags behind reductions in emissions Y. Zhao et al. 10.1038/s41561-022-00899-1
- TROPOMI NO 2 in the United States: A Detailed Look at the Annual Averages, Weekly Cycles, Effects of Temperature, and Correlation With Surface NO 2 Concentrations D. Goldberg et al. 10.1029/2020EF001665
- 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
- A new TROPOMI product for tropospheric NO<sub>2</sub> columns over East Asia with explicit aerosol corrections M. Liu et al. 10.5194/amt-13-4247-2020
- 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
- Explicit and consistent aerosol correction for visible wavelength satellite cloud and nitrogen dioxide retrievals based on optical properties from a global aerosol analysis A. Vasilkov et al. 10.5194/amt-14-2857-2021
- Validation of tropospheric NO<sub>2</sub> column measurements of GOME-2A and OMI using MAX-DOAS and direct sun network observations G. Pinardi et al. 10.5194/amt-13-6141-2020
- Inter-comparison of MAX-DOAS measurements of tropospheric HONO slant column densities and vertical profiles during the CINDI-2 campaign Y. Wang et al. 10.5194/amt-13-5087-2020
- Considerable Unaccounted Local Sources of NOx Emissions in China Revealed from Satellite H. Kong et al. 10.1021/acs.est.1c07723
- The underappreciated role of agricultural soil nitrogen oxide emissions in ozone pollution regulation in North China X. Lu et al. 10.1038/s41467-021-25147-9
- MAX-DOAS observation in the midlatitude marine boundary layer: Influences of typhoon forced air mass R. Zhang et al. 10.1016/j.jes.2021.12.010
- High-resolution (0.05° × 0.05°) NO<sub><i>x</i></sub> emissions in the Yangtze River Delta inferred from OMI H. Kong et al. 10.5194/acp-19-12835-2019
- Measurement report: Long-term variations in surface NO<sub><i>x</i></sub> and SO<sub>2</sub> mixing ratios from 2006 to 2016 at a background site in the Yangtze River Delta region, China Q. Yin et al. 10.5194/acp-22-1015-2022
- An Observation‐Based Correction for Aerosol Effects on Nitrogen Dioxide Column Retrievals Using the Absorbing Aerosol Index M. Cooper et al. 10.1029/2019GL083673
- An improved air mass factor calculation for nitrogen dioxide measurements from the Global Ozone Monitoring Experiment-2 (GOME-2) S. Liu et al. 10.5194/amt-13-755-2020
- Spatio-Temporal Variability of Aerosol Optical Depth, Total Ozone and NO2 Over East Asia: Strategy for the Validation to the GEMS Scientific Products S. Park et al. 10.3390/rs12142256
- Satellite-based estimation of surface NO2 concentrations over east-central China: A comparison of POMINO and OMNO2d data K. Qin et al. 10.1016/j.atmosenv.2020.117322
- Disentangling the Impact of the COVID‐19 Lockdowns on Urban NO 2 From Natural Variability D. Goldberg et al. 10.1029/2020GL089269
- An improved TROPOMI tropospheric NO<sub>2</sub> research product over Europe S. Liu et al. 10.5194/amt-14-7297-2021
- Impacts of global NO<sub><i>x</i></sub> inversions on NO<sub>2</sub> and ozone simulations Z. Qu et al. 10.5194/acp-20-13109-2020
- The effect of recent controls on emissions and aerosol pollution at city scale: A case study for Nanjing, China Y. Zhao et al. 10.1016/j.atmosenv.2020.118080
- Multi‐Source Data Based Investigation of Aerosol‐Cloud Interaction Over the North China Plain and North of the Yangtze Plain Y. Yang et al. 10.1029/2021JD035609
- Minimizing aerosol effects on the OMI tropospheric NO<sub>2</sub> retrieval – An improved use of the 477 nm O<sub>2</sub> − O<sub>2</sub> band and an estimation of the aerosol correction uncertainty J. Chimot et al. 10.5194/amt-12-491-2019
- New Era of Air Quality Monitoring from Space: Geostationary Environment Monitoring Spectrometer (GEMS) J. Kim et al. 10.1175/BAMS-D-18-0013.1
- Assessment of Sectoral NO x Emission Reductions During COVID‐19 Lockdown Using Combined Satellite and Surface Observations and Source‐Oriented Model Simulations M. Kang et al. 10.1029/2021GL095339
- The dual-field-of-view polarization lidar technique: a new concept in monitoring aerosol effects in liquid-water clouds – case studies C. Jimenez et al. 10.5194/acp-20-15265-2020
- Ground-based validation of the Copernicus Sentinel-5P TROPOMI NO<sub>2</sub> measurements with the NDACC ZSL-DOAS, MAX-DOAS and Pandonia global networks T. Verhoelst et al. 10.5194/amt-14-481-2021
Discussed (final revised paper)
Latest update: 31 Jan 2023
Short summary
China has become the world’s largest emitter of NOx, which mainly comes from vehicle exhaust, power plants, etc. However, there are no official ground-based measurements before 2013, so satellites have been widely used to monitor and analyze NOx pollution here. Aerosol is the key factor influencing the accuracy of the satellite NOx product. Our study provides a more accurate way to account for aerosol's influence compared to current widely used products.
China has become the world’s largest emitter of NOx, which mainly comes from vehicle exhaust,...
