Articles | Volume 20, issue 13
https://doi.org/10.5194/acp-20-8017-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-20-8017-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Validation of Aura-OMI QA4ECV NO2 climate data records with ground-based DOAS networks: the role of measurement and comparison uncertainties
Steven Compernolle
CORRESPONDING AUTHOR
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Uccle, Belgium
Tijl Verhoelst
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Uccle, Belgium
Gaia Pinardi
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Uccle, Belgium
José Granville
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Uccle, Belgium
Daan Hubert
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Uccle, Belgium
Arno Keppens
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Uccle, Belgium
Sander Niemeijer
s[&]t Corporation, Delft, the Netherlands
Bruno Rino
s[&]t Corporation, Delft, the Netherlands
Alkis Bais
Aristotle University of Thessaloniki, Laboratory of Atmospheric Physics (AUTH), Thessaloniki, Greece
Steffen Beirle
Max Planck Institute for Chemistry (MPIC), Mainz, Germany
Folkert Boersma
Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
Wageningen University, Meteorology and Air Quality Group, Wageningen, the Netherlands
John P. Burrows
Institute of Environmental Physics, University of Bremen (IUP-B), Bremen, Germany
Isabelle De Smedt
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Uccle, Belgium
Henk Eskes
Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
Florence Goutail
Laboratoire Atmosphères, Milieux, Observations Spatiales, CNRS, Guyancourt, France
François Hendrick
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Uccle, Belgium
Alba Lorente
Wageningen University, Meteorology and Air Quality Group, Wageningen, the Netherlands
Andrea Pazmino
Laboratoire Atmosphères, Milieux, Observations Spatiales, CNRS, Guyancourt, France
Ankie Piters
Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
Enno Peters
Institute of Environmental Physics, University of Bremen (IUP-B), Bremen, Germany
Jean-Pierre Pommereau
Laboratoire Atmosphères, Milieux, Observations Spatiales, CNRS, Guyancourt, France
Julia Remmers
Max Planck Institute for Chemistry (MPIC), Mainz, Germany
Andreas Richter
Institute of Environmental Physics, University of Bremen (IUP-B), Bremen, Germany
Jos van Geffen
Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
Michel Van Roozendael
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Uccle, Belgium
Thomas Wagner
Max Planck Institute for Chemistry (MPIC), Mainz, Germany
Jean-Christopher Lambert
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Uccle, Belgium
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Cited
30 citations as recorded by crossref.
- Impact of Coronavirus Outbreak on NO2 Pollution Assessed Using TROPOMI and OMI Observations M. Bauwens et al. 10.1029/2020GL087978
- Tropospheric NO2 Pollution Monitoring with the GF-5 Satellite Environmental Trace Gases Monitoring Instrument over the North China Plain during Winter 2018–2019 D. Yang et al. 10.3390/atmos12030398
- Potential of TROPOMI for understanding spatio-temporal variations in surface NO2 and their dependencies upon land use over the Iberian Peninsula H. Petetin et al. 10.5194/acp-23-3905-2023
- Effect of Aerosols, Tropospheric NO2 and Clouds on Surface Solar Radiation over the Eastern Mediterranean (Greece) G. Alexandri et al. 10.3390/rs13132587
- Updated tropospheric chemistry reanalysis and emission estimates, TCR-2, for 2005–2018 K. Miyazaki et al. 10.5194/essd-12-2223-2020
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- An improved TROPOMI tropospheric NO<sub>2</sub> research product over Europe S. Liu et al. 10.5194/amt-14-7297-2021
- NOx emissions in India derived from OMI satellite observations J. Ding et al. 10.1016/j.aeaoa.2022.100174
- 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
- Long-term variations and trends of tropospheric and ground-level NO2 over typical coastal areas X. Tian et al. 10.1016/j.ecolind.2024.112163
- Satellite validation strategy assessments based on the AROMAT campaigns A. Merlaud et al. 10.5194/amt-13-5513-2020
- 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
- Satellite observations showed a negligible reduction in NO2 pollution due to COVID-19 lockdown over Poland E. Ugboma et al. 10.3389/fenvs.2023.1172753
- Two decades of fire activity over the PEEX domain: a look from space, with contribution from models and ground-based measurements L. Sogacheva et al. 10.1080/20964471.2024.2316730
- 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
- Peculiar COVID-19 effects in the Greater Tokyo Area revealed by spatiotemporal variabilities of tropospheric gases and light-absorbing aerosols A. Damiani et al. 10.5194/acp-22-12705-2022
- Sentinel-5P TROPOMI NO<sub>2</sub> retrieval: impact of version v2.2 improvements and comparisons with OMI and ground-based data J. van Geffen et al. 10.5194/amt-15-2037-2022
- Space-based monitoring of NO2 levels during COVID-19 lockdown in Cairo, Egypt and Riyadh, Saudi Arabia A. Abdelsattar et al. 10.1016/j.ejrs.2021.03.004
- Accounting for NOx emissions from biomass burning and urbanization doubles existing inventories over South, Southeast and East Asia J. Liu et al. 10.1038/s43247-024-01424-5
- Assessment of Updated Fuel‐Based Emissions Inventories Over the Contiguous United States Using TROPOMI NO2 Retrievals M. Li et al. 10.1029/2021JD035484
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- Satellite remote-sensing capability to assess tropospheric-column ratios of formaldehyde and nitrogen dioxide: case study during the Long Island Sound Tropospheric Ozone Study 2018 (LISTOS 2018) field campaign M. Johnson et al. 10.5194/amt-16-2431-2023
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- The Antarctic stratospheric nitrogen hole: Southern Hemisphere and Antarctic springtime total nitrogen dioxide and total ozone variability as observed by Sentinel-5p TROPOMI A. de Laat et al. 10.5194/acp-24-4511-2024
- Reconciling the bottom-up and top-down estimates of the methane chemical sink using multiple observations Y. Zhao et al. 10.5194/acp-23-789-2023
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- Spaceborne evidence for significant anthropogenic VOC trends in Asian cities over 2005–2019 M. Bauwens et al. 10.1088/1748-9326/ac46eb
- Application of the Multi-Scale Infrastructure for Chemistry and Aerosols version 0 (MUSICAv0) for air quality research in Africa W. Tang et al. 10.5194/gmd-16-6001-2023
- Reduction of Air Pollution in Poland in Spring 2020 during the Lockdown Caused by the COVID-19 Pandemic P. Grzybowski et al. 10.3390/rs13183784
- 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
30 citations as recorded by crossref.
- Impact of Coronavirus Outbreak on NO2 Pollution Assessed Using TROPOMI and OMI Observations M. Bauwens et al. 10.1029/2020GL087978
- Tropospheric NO2 Pollution Monitoring with the GF-5 Satellite Environmental Trace Gases Monitoring Instrument over the North China Plain during Winter 2018–2019 D. Yang et al. 10.3390/atmos12030398
- Potential of TROPOMI for understanding spatio-temporal variations in surface NO2 and their dependencies upon land use over the Iberian Peninsula H. Petetin et al. 10.5194/acp-23-3905-2023
- Effect of Aerosols, Tropospheric NO2 and Clouds on Surface Solar Radiation over the Eastern Mediterranean (Greece) G. Alexandri et al. 10.3390/rs13132587
- Updated tropospheric chemistry reanalysis and emission estimates, TCR-2, for 2005–2018 K. Miyazaki et al. 10.5194/essd-12-2223-2020
- 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
- An improved TROPOMI tropospheric NO<sub>2</sub> research product over Europe S. Liu et al. 10.5194/amt-14-7297-2021
- NOx emissions in India derived from OMI satellite observations J. Ding et al. 10.1016/j.aeaoa.2022.100174
- 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
- Long-term variations and trends of tropospheric and ground-level NO2 over typical coastal areas X. Tian et al. 10.1016/j.ecolind.2024.112163
- Satellite validation strategy assessments based on the AROMAT campaigns A. Merlaud et al. 10.5194/amt-13-5513-2020
- 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
- Satellite observations showed a negligible reduction in NO2 pollution due to COVID-19 lockdown over Poland E. Ugboma et al. 10.3389/fenvs.2023.1172753
- Two decades of fire activity over the PEEX domain: a look from space, with contribution from models and ground-based measurements L. Sogacheva et al. 10.1080/20964471.2024.2316730
- 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
- Peculiar COVID-19 effects in the Greater Tokyo Area revealed by spatiotemporal variabilities of tropospheric gases and light-absorbing aerosols A. Damiani et al. 10.5194/acp-22-12705-2022
- Sentinel-5P TROPOMI NO<sub>2</sub> retrieval: impact of version v2.2 improvements and comparisons with OMI and ground-based data J. van Geffen et al. 10.5194/amt-15-2037-2022
- Space-based monitoring of NO2 levels during COVID-19 lockdown in Cairo, Egypt and Riyadh, Saudi Arabia A. Abdelsattar et al. 10.1016/j.ejrs.2021.03.004
- Accounting for NOx emissions from biomass burning and urbanization doubles existing inventories over South, Southeast and East Asia J. Liu et al. 10.1038/s43247-024-01424-5
- Assessment of Updated Fuel‐Based Emissions Inventories Over the Contiguous United States Using TROPOMI NO2 Retrievals M. Li et al. 10.1029/2021JD035484
- Global Ozone Monitoring Experiment-2 (GOME-2) daily and monthly level-3 products of atmospheric trace gas columns K. Chan et al. 10.5194/essd-15-1831-2023
- Satellite remote-sensing capability to assess tropospheric-column ratios of formaldehyde and nitrogen dioxide: case study during the Long Island Sound Tropospheric Ozone Study 2018 (LISTOS 2018) field campaign M. Johnson et al. 10.5194/amt-16-2431-2023
- Comparing Sentinel-5P TROPOMI NO2 column observations with the CAMS regional air quality ensemble J. Douros et al. 10.5194/gmd-16-509-2023
- The Antarctic stratospheric nitrogen hole: Southern Hemisphere and Antarctic springtime total nitrogen dioxide and total ozone variability as observed by Sentinel-5p TROPOMI A. de Laat et al. 10.5194/acp-24-4511-2024
- Reconciling the bottom-up and top-down estimates of the methane chemical sink using multiple observations Y. Zhao et al. 10.5194/acp-23-789-2023
- Identification of key controlling factors of ozone pollution in Jinan, northern China over 2013–2020 D. Liang et al. 10.3389/fevo.2022.930569
- Spaceborne evidence for significant anthropogenic VOC trends in Asian cities over 2005–2019 M. Bauwens et al. 10.1088/1748-9326/ac46eb
- Application of the Multi-Scale Infrastructure for Chemistry and Aerosols version 0 (MUSICAv0) for air quality research in Africa W. Tang et al. 10.5194/gmd-16-6001-2023
- Reduction of Air Pollution in Poland in Spring 2020 during the Lockdown Caused by the COVID-19 Pandemic P. Grzybowski et al. 10.3390/rs13183784
- 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
Discussed (final revised paper)
Latest update: 20 Nov 2024
Short summary
Tropospheric and stratospheric NO2 columns from the OMI QA4ECV NO2 satellite product are validated by comparison with ground-based measurements at 11 sites. The OMI stratospheric column has a small negative bias, and the OMI tropospheric column has a stronger negative bias relative to the ground-based data. Discrepancies are attributed to comparison errors (e.g. difference in horizontal smoothing) and measurement errors (e.g. clouds, aerosols, vertical smoothing and a priori profile assumptions).
Tropospheric and stratospheric NO2 columns from the OMI QA4ECV NO2 satellite product are...
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