Articles | Volume 15, issue 6
https://doi.org/10.5194/amt-15-1703-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-15-1703-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
23 Mar 2022
Research article |
| 23 Mar 2022
| 23 Mar 2022
A comparison of the impact of TROPOMI and OMI tropospheric NO2 on global chemical data assimilation
Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan
Kazuyuki Miyazaki
Jet Propulsion Laboratory/California Institute for Technology, Pasadena, CA, USA
Henk Eskes
Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
Kengo Sudo
Graduate School of Environmental Studies, Nagoya University, Nagoya, Japan
Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan
Masayuki Takigawa
Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan
Yugo Kanaya
Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan
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Cited
19 citations as recorded by crossref.
- Air quality impacts of COVID-19 lockdown measures detected from space using high spatial resolution observations of multiple trace gases from Sentinel-5P/TROPOMI P. Levelt et al. 10.5194/acp-22-10319-2022
- Nitrogen dioxide spatiotemporal variations in the complex urban environment of Athens, Greece T. Drosoglou et al. 10.1016/j.atmosenv.2023.120115
- Quantifying uncertainties in satellite NO2 superobservations for data assimilation and model evaluation P. Rijsdijk et al. 10.5194/gmd-18-483-2025
- Monitoring European anthropogenic NOx emissions from space R. van der A et al. 10.5194/acp-24-7523-2024
- Estimating Daily NO2 Ground Level Concentrations Using Sentinel-5P and Ground Sensor Meteorological Measurements J. Cedeno Jimenez et al. 10.3390/ijgi12030107
- Satellite-based estimates of daily NO2 exposure in urban agglomerations of China and application to spatio-temporal characteristics of hotspots J. Dong et al. 10.1016/j.atmosenv.2022.119453
- Assessing the relative impacts of satellite ozone and its precursor observations to improve global tropospheric ozone analysis using multiple chemical reanalysis systems T. Sekiya et al. 10.5194/acp-25-2243-2025
- Consecutive Northward Super Typhoons Induced Extreme Ozone Pollution Events in Eastern China J. Wang et al. 10.1038/s41612-024-00786-z
- The worldwide COVID-19 lockdown impacts on global secondary inorganic aerosols and radiative budget T. Sekiya et al. 10.1126/sciadv.adh2688
- Assessing the ability to quantify the decrease in NOx anthropogenic emissions in 2019 compared to 2005 using OMI and TROPOMI satellite observations A. Fortems-Cheiney et al. 10.5194/acp-25-6047-2025
- Improving ozone simulations in Asia via multisource data assimilation: results from an observing system simulation experiment with GEMS geostationary satellite observations L. Shu et al. 10.5194/acp-23-3731-2023
- Remote Sensing Measurements at a Rural Site in China: Implications for Satellite NO2 and HCHO Measurement Uncertainty and Emissions From Fires K. Chong et al. 10.1029/2023JD039310
- Global Scale Inversions from MOPITT CO and MODIS AOD B. Gaubert et al. 10.3390/rs15194813
- A novel near real-time approach to forecast high resolution NO2 concentrations in southeastern China by incorporating multi-source satellite data Z. Li et al. 10.1016/j.jhazmat.2025.138447
- Downwind Ozone Changes of the 2019 Williams Flats Wildfire: Insights From WRF‐Chem/DART Assimilation of OMI NO2, HCHO, and MODIS AOD Retrievals A. Pouyaei et al. 10.1029/2022JD038019
- Anthropogenic NO x emissions of China, the U.S. and Europe from 2019 to 2022 inferred from TROPOMI observations Y. Mao et al. 10.1088/1748-9326/ad3cf9
- Long-term spatiotemporal variations in surface NO2 for Beijing reconstructed from surface data and satellite retrievals Z. Zhao et al. 10.1016/j.scitotenv.2023.166693
- An Observing System Simulation Experiment Analysis of How Well Geostationary Satellite Trace‐Gas Observations Constrain NOx Emissions in the US C. Hsu et al. 10.1029/2023JD039323
- 基于对流层检测仪和臭氧检测仪的我国近地面NO2浓度的估算对比与优化 周. Zhou Wenyuan et al. 10.3788/AOS231013
19 citations as recorded by crossref.
- Air quality impacts of COVID-19 lockdown measures detected from space using high spatial resolution observations of multiple trace gases from Sentinel-5P/TROPOMI P. Levelt et al. 10.5194/acp-22-10319-2022
- Nitrogen dioxide spatiotemporal variations in the complex urban environment of Athens, Greece T. Drosoglou et al. 10.1016/j.atmosenv.2023.120115
- Quantifying uncertainties in satellite NO2 superobservations for data assimilation and model evaluation P. Rijsdijk et al. 10.5194/gmd-18-483-2025
- Monitoring European anthropogenic NOx emissions from space R. van der A et al. 10.5194/acp-24-7523-2024
- Estimating Daily NO2 Ground Level Concentrations Using Sentinel-5P and Ground Sensor Meteorological Measurements J. Cedeno Jimenez et al. 10.3390/ijgi12030107
- Satellite-based estimates of daily NO2 exposure in urban agglomerations of China and application to spatio-temporal characteristics of hotspots J. Dong et al. 10.1016/j.atmosenv.2022.119453
- Assessing the relative impacts of satellite ozone and its precursor observations to improve global tropospheric ozone analysis using multiple chemical reanalysis systems T. Sekiya et al. 10.5194/acp-25-2243-2025
- Consecutive Northward Super Typhoons Induced Extreme Ozone Pollution Events in Eastern China J. Wang et al. 10.1038/s41612-024-00786-z
- The worldwide COVID-19 lockdown impacts on global secondary inorganic aerosols and radiative budget T. Sekiya et al. 10.1126/sciadv.adh2688
- Assessing the ability to quantify the decrease in NOx anthropogenic emissions in 2019 compared to 2005 using OMI and TROPOMI satellite observations A. Fortems-Cheiney et al. 10.5194/acp-25-6047-2025
- Improving ozone simulations in Asia via multisource data assimilation: results from an observing system simulation experiment with GEMS geostationary satellite observations L. Shu et al. 10.5194/acp-23-3731-2023
- Remote Sensing Measurements at a Rural Site in China: Implications for Satellite NO2 and HCHO Measurement Uncertainty and Emissions From Fires K. Chong et al. 10.1029/2023JD039310
- Global Scale Inversions from MOPITT CO and MODIS AOD B. Gaubert et al. 10.3390/rs15194813
- A novel near real-time approach to forecast high resolution NO2 concentrations in southeastern China by incorporating multi-source satellite data Z. Li et al. 10.1016/j.jhazmat.2025.138447
- Downwind Ozone Changes of the 2019 Williams Flats Wildfire: Insights From WRF‐Chem/DART Assimilation of OMI NO2, HCHO, and MODIS AOD Retrievals A. Pouyaei et al. 10.1029/2022JD038019
- Anthropogenic NO x emissions of China, the U.S. and Europe from 2019 to 2022 inferred from TROPOMI observations Y. Mao et al. 10.1088/1748-9326/ad3cf9
- Long-term spatiotemporal variations in surface NO2 for Beijing reconstructed from surface data and satellite retrievals Z. Zhao et al. 10.1016/j.scitotenv.2023.166693
- An Observing System Simulation Experiment Analysis of How Well Geostationary Satellite Trace‐Gas Observations Constrain NOx Emissions in the US C. Hsu et al. 10.1029/2023JD039323
- 基于对流层检测仪和臭氧检测仪的我国近地面NO2浓度的估算对比与优化 周. Zhou Wenyuan et al. 10.3788/AOS231013
Latest update: 30 Jun 2025
Short summary
This study gives a systematic comparison of TROPOMI version 1.2 and OMI QA4ECV tropospheric NO2 column through global chemical data assimilation (DA) integration for April–May 2018. DA performance is controlled by measurement sensitivities, retrieval errors, and coverage. Due to reduced errors in TROPOMI, agreements against assimilated and independent observations were improved by TROPOMI DA compared to OMI DA. These results demonstrate that TROPOMI DA improves global analyses of NO2 and ozone.
This study gives a systematic comparison of TROPOMI version 1.2 and OMI QA4ECV tropospheric NO2...
