Articles | Volume 9, issue 10
https://doi.org/10.5194/amt-9-5203-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-9-5203-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
24 Oct 2016
Research article |
| 24 Oct 2016
Comparison of OMI NO2 observations and their seasonal and weekly cycles with ground-based measurements in Helsinki
Earth Observation Unit, Finnish Meteorological Institute, Helsinki,
Finland
Jay Herman
Atmospheric Chemistry and Dynamics Laboratory, NASA
Goddard Space Flight Center, Greenbelt, Maryland, USA
Nick Krotkov
Atmospheric Chemistry and Dynamics Laboratory, NASA
Goddard Space Flight Center, Greenbelt, Maryland, USA
Lok Lamsal
Atmospheric Chemistry and Dynamics Laboratory, NASA
Goddard Space Flight Center, Greenbelt, Maryland, USA
GESTAR,
Universities Space Research Association, Columbia, Maryland, USA
K. Folkert Boersma
Royal Netherlands Meteorological Institute, Climate Observations
Department, De Bilt, the Netherlands
Wageningen University, Meteorology and Air Quality Group, Wageningen, the Netherlands
Jari Hovila
Earth Observation Unit, Finnish Meteorological Institute, Helsinki,
Finland
Johanna Tamminen
Earth Observation Unit, Finnish Meteorological Institute, Helsinki,
Finland
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Cited
43 citations as recorded by crossref.
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- 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
- A review of Space-Air-Ground integrated remote sensing techniques for atmospheric monitoring B. Zhou et al. 10.1016/j.jes.2021.12.008
- Spatial Distribution and Temporal Trend of Tropospheric NO2 over the Wanjiang City Belt of China Y. Xie et al. 10.1155/2018/6597186
- Underestimation of column NO<sub>2</sub> amounts from the OMI satellite compared to diurnally varying ground-based retrievals from multiple PANDORA spectrometer instruments J. Herman et al. 10.5194/amt-12-5593-2019
- Diagnosis of ozone formation sensitivity in the Mexico City Metropolitan Area using HCHO/NO2 column ratios from the ozone monitoring instrument J. Vazquez Santiago et al. 10.1016/j.envadv.2021.100138
- NO2 retrievals from NOAA-20 OMPS: Algorithm, evaluation, and observations of drastic changes during COVID-19 X. Huang et al. 10.1016/j.atmosenv.2022.119367
- Changes in NO2 and O3 levels due to the pandemic lockdown in the industrial cities of Tehran and Arak, Iran using Sentinel 5P images, Google Earth Engine (GEE) and statistical analysis L. Gharibvand et al. 10.1007/s00477-022-02362-4
- 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
- A high-resolution and observationally constrained OMI NO<sub>2</sub> satellite retrieval D. Goldberg et al. 10.5194/acp-17-11403-2017
- Spatiotemporal inhomogeneity of total column NO2 in a polluted urban area inferred from TROPOMI and Pandora intercomparisons J. Park et al. 10.1080/15481603.2022.2026640
- Evaluation of version 3.0B of the BEHR OMI NO<sub>2</sub> product J. Laughner et al. 10.5194/amt-12-129-2019
- Monthly top‐down NOx emissions for China (2005–2012): A hybrid inversion method and trend analysis Z. Qu et al. 10.1002/2016JD025852
- Evaluation of modeling NO<sub>2</sub> concentrations driven by satellite-derived and bottom-up emission inventories using in situ measurements over China F. Liu et al. 10.5194/acp-18-4171-2018
- TROPOMI NO2 in the United States: A Detailed Look at the Annual Averages, Weekly Cycles, Effects of Temperature, and Correlation With Surface NO2 Concentrations D. Goldberg et al. 10.1029/2020EF001665
- Weekly cycle in the atmosphere aerosol variations for industrial regions A. Paznukhov et al. 10.17721/2227-1481.9.20-27
- Comparison of TROPOMI/Sentinel-5 Precursor NO<sub>2</sub> observations with ground-based measurements in Helsinki I. Ialongo et al. 10.5194/amt-13-205-2020
- US COVID‐19 Shutdown Demonstrates Importance of Background NO2 in Inferring NOx Emissions From Satellite NO2 Observations Z. Qu et al. 10.1029/2021GL092783
- The Spatial–Temporal Variation of Tropospheric NO2 over China during 2005 to 2018 C. Wang et al. 10.3390/atmos10080444
- Spatio-temporal variations in NO2 and SO2 over Shanghai and Chongming Eco-Island measured by Ozone Monitoring Instrument (OMI) during 2008–2017 R. Xue et al. 10.1016/j.jclepro.2020.120563
- Stratosphere–troposphere separation of nitrogen dioxide columns from the TEMPO geostationary satellite instrument J. Geddes et al. 10.5194/amt-11-6271-2018
- Comparisons of ground-based tropospheric NO<sub>2</sub> MAX-DOAS measurements to satellite observations with the aid of an air quality model over the Thessaloniki area, Greece T. Drosoglou et al. 10.5194/acp-17-5829-2017
- On the weekly cycle of atmospheric ammonia over European agricultural hotspots M. Van Damme et al. 10.1038/s41598-022-15836-w
- Comparison and Validation of TROPOMI and OMI NO2 Observations over China C. Wang et al. 10.3390/atmos11060636
- The version 3 OMI NO<sub>2</sub> standard product N. Krotkov et al. 10.5194/amt-10-3133-2017
- Spatiotemporal Variations in the Air Pollutant NO2 in Some Regions of Pakistan, India, China, and Korea, before and after COVID-19, Based on Ozone Monitoring Instrument Data W. Naeem et al. 10.3390/atmos13060986
- 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
- Disentangling the Impact of the COVID‐19 Lockdowns on Urban NO2 From Natural Variability D. Goldberg et al. 10.1029/2020GL089269
- Trend analysis and first time observations of sulphur dioxide and nitrogen dioxide in South Africa using TROPOMI/Sentinel-5 P data L. Shikwambana et al. 10.1016/j.jag.2020.102130
- Temporal characteristics of atmospheric ammonia and nitrogen dioxide over China based on emission data, satellite observations and atmospheric transport modeling since 1980 L. Liu et al. 10.5194/acp-17-9365-2017
- Retrieval of total column and surface NO<sub>2</sub> from Pandora zenith-sky measurements X. Zhao et al. 10.5194/acp-19-10619-2019
- Temporal Analysis of OMI-Observed Tropospheric NO2 Columns over East Asia during 2006–2015 K. Han 10.3390/atmos10110658
- Comparison of tropospheric NO<sub>2</sub> columns from MAX-DOAS retrievals and regional air quality model simulations A. Blechschmidt et al. 10.5194/acp-20-2795-2020
- Assessment of the quality of TROPOMI high-spatial-resolution NO<sub>2</sub> data products in the Greater Toronto Area X. Zhao et al. 10.5194/amt-13-2131-2020
- Estimation of the ground-level SO2 concentration in eastern China based on the LightGBM model and Himawari-8 TOAR T. Xu et al. 10.3389/feart.2022.1037719
- New Insights Into the Role of Atmospheric Transport and Mixing on Column and Surface Concentrations of NO2 at a Coastal Urban Site T. Adams et al. 10.1029/2022JD038237
- Estimation of NO<sub><i>x</i></sub> and SO<sub>2</sub> emissions from Sarnia, Ontario, using a mobile MAX-DOAS (Multi-AXis Differential Optical Absorption Spectroscopy) and a NO<sub><i>x</i></sub> analyzer Z. Davis et al. 10.5194/acp-19-13871-2019
- The Ozone Monitoring Instrument: overview of 14 years in space P. Levelt et al. 10.5194/acp-18-5699-2018
- Lightning NOx Emissions: Reconciling Measured and Modeled Estimates With Updated NOx Chemistry B. Nault et al. 10.1002/2017GL074436
- 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
- Monitoring shipping emissions in the German Bight using MAX-DOAS measurements A. Seyler et al. 10.5194/acp-17-10997-2017
- Comparisons of spectral aerosol single scattering albedo in Seoul, South Korea J. Mok et al. 10.5194/amt-11-2295-2018
- Spatial variation in the association between NO2 concentrations and shipping emissions in the Red Sea S. Alahmadi et al. 10.1016/j.scitotenv.2019.04.161
43 citations as recorded by crossref.
- Global-Scale Patterns and Trends in Tropospheric NO2 Concentrations, 2005–2018 S. Jamali et al. 10.3390/rs12213526
- 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
- A review of Space-Air-Ground integrated remote sensing techniques for atmospheric monitoring B. Zhou et al. 10.1016/j.jes.2021.12.008
- Spatial Distribution and Temporal Trend of Tropospheric NO2 over the Wanjiang City Belt of China Y. Xie et al. 10.1155/2018/6597186
- Underestimation of column NO<sub>2</sub> amounts from the OMI satellite compared to diurnally varying ground-based retrievals from multiple PANDORA spectrometer instruments J. Herman et al. 10.5194/amt-12-5593-2019
- Diagnosis of ozone formation sensitivity in the Mexico City Metropolitan Area using HCHO/NO2 column ratios from the ozone monitoring instrument J. Vazquez Santiago et al. 10.1016/j.envadv.2021.100138
- NO2 retrievals from NOAA-20 OMPS: Algorithm, evaluation, and observations of drastic changes during COVID-19 X. Huang et al. 10.1016/j.atmosenv.2022.119367
- Changes in NO2 and O3 levels due to the pandemic lockdown in the industrial cities of Tehran and Arak, Iran using Sentinel 5P images, Google Earth Engine (GEE) and statistical analysis L. Gharibvand et al. 10.1007/s00477-022-02362-4
- 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
- A high-resolution and observationally constrained OMI NO<sub>2</sub> satellite retrieval D. Goldberg et al. 10.5194/acp-17-11403-2017
- Spatiotemporal inhomogeneity of total column NO2 in a polluted urban area inferred from TROPOMI and Pandora intercomparisons J. Park et al. 10.1080/15481603.2022.2026640
- Evaluation of version 3.0B of the BEHR OMI NO<sub>2</sub> product J. Laughner et al. 10.5194/amt-12-129-2019
- Monthly top‐down NOx emissions for China (2005–2012): A hybrid inversion method and trend analysis Z. Qu et al. 10.1002/2016JD025852
- Evaluation of modeling NO<sub>2</sub> concentrations driven by satellite-derived and bottom-up emission inventories using in situ measurements over China F. Liu et al. 10.5194/acp-18-4171-2018
- TROPOMI NO2 in the United States: A Detailed Look at the Annual Averages, Weekly Cycles, Effects of Temperature, and Correlation With Surface NO2 Concentrations D. Goldberg et al. 10.1029/2020EF001665
- Weekly cycle in the atmosphere aerosol variations for industrial regions A. Paznukhov et al. 10.17721/2227-1481.9.20-27
- Comparison of TROPOMI/Sentinel-5 Precursor NO<sub>2</sub> observations with ground-based measurements in Helsinki I. Ialongo et al. 10.5194/amt-13-205-2020
- US COVID‐19 Shutdown Demonstrates Importance of Background NO2 in Inferring NOx Emissions From Satellite NO2 Observations Z. Qu et al. 10.1029/2021GL092783
- The Spatial–Temporal Variation of Tropospheric NO2 over China during 2005 to 2018 C. Wang et al. 10.3390/atmos10080444
- Spatio-temporal variations in NO2 and SO2 over Shanghai and Chongming Eco-Island measured by Ozone Monitoring Instrument (OMI) during 2008–2017 R. Xue et al. 10.1016/j.jclepro.2020.120563
- Stratosphere–troposphere separation of nitrogen dioxide columns from the TEMPO geostationary satellite instrument J. Geddes et al. 10.5194/amt-11-6271-2018
- Comparisons of ground-based tropospheric NO<sub>2</sub> MAX-DOAS measurements to satellite observations with the aid of an air quality model over the Thessaloniki area, Greece T. Drosoglou et al. 10.5194/acp-17-5829-2017
- On the weekly cycle of atmospheric ammonia over European agricultural hotspots M. Van Damme et al. 10.1038/s41598-022-15836-w
- Comparison and Validation of TROPOMI and OMI NO2 Observations over China C. Wang et al. 10.3390/atmos11060636
- The version 3 OMI NO<sub>2</sub> standard product N. Krotkov et al. 10.5194/amt-10-3133-2017
- Spatiotemporal Variations in the Air Pollutant NO2 in Some Regions of Pakistan, India, China, and Korea, before and after COVID-19, Based on Ozone Monitoring Instrument Data W. Naeem et al. 10.3390/atmos13060986
- 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
- Disentangling the Impact of the COVID‐19 Lockdowns on Urban NO2 From Natural Variability D. Goldberg et al. 10.1029/2020GL089269
- Trend analysis and first time observations of sulphur dioxide and nitrogen dioxide in South Africa using TROPOMI/Sentinel-5 P data L. Shikwambana et al. 10.1016/j.jag.2020.102130
- Temporal characteristics of atmospheric ammonia and nitrogen dioxide over China based on emission data, satellite observations and atmospheric transport modeling since 1980 L. Liu et al. 10.5194/acp-17-9365-2017
- Retrieval of total column and surface NO<sub>2</sub> from Pandora zenith-sky measurements X. Zhao et al. 10.5194/acp-19-10619-2019
- Temporal Analysis of OMI-Observed Tropospheric NO2 Columns over East Asia during 2006–2015 K. Han 10.3390/atmos10110658
- Comparison of tropospheric NO<sub>2</sub> columns from MAX-DOAS retrievals and regional air quality model simulations A. Blechschmidt et al. 10.5194/acp-20-2795-2020
- Assessment of the quality of TROPOMI high-spatial-resolution NO<sub>2</sub> data products in the Greater Toronto Area X. Zhao et al. 10.5194/amt-13-2131-2020
- Estimation of the ground-level SO2 concentration in eastern China based on the LightGBM model and Himawari-8 TOAR T. Xu et al. 10.3389/feart.2022.1037719
- New Insights Into the Role of Atmospheric Transport and Mixing on Column and Surface Concentrations of NO2 at a Coastal Urban Site T. Adams et al. 10.1029/2022JD038237
- Estimation of NO<sub><i>x</i></sub> and SO<sub>2</sub> emissions from Sarnia, Ontario, using a mobile MAX-DOAS (Multi-AXis Differential Optical Absorption Spectroscopy) and a NO<sub><i>x</i></sub> analyzer Z. Davis et al. 10.5194/acp-19-13871-2019
- The Ozone Monitoring Instrument: overview of 14 years in space P. Levelt et al. 10.5194/acp-18-5699-2018
- Lightning NOx Emissions: Reconciling Measured and Modeled Estimates With Updated NOx Chemistry B. Nault et al. 10.1002/2017GL074436
- 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
- Monitoring shipping emissions in the German Bight using MAX-DOAS measurements A. Seyler et al. 10.5194/acp-17-10997-2017
- Comparisons of spectral aerosol single scattering albedo in Seoul, South Korea J. Mok et al. 10.5194/amt-11-2295-2018
- Spatial variation in the association between NO2 concentrations and shipping emissions in the Red Sea S. Alahmadi et al. 10.1016/j.scitotenv.2019.04.161
Latest update: 06 Jan 2025
Short summary
We present the comparison between satellite- and ground-based atmospheric NO2 observations in Helsinki (Finland). The results show that, despite some limitations due to cloud contamination and low solar angles, satellite data are able to describe urban air quality features such as the weekly and seasonal cycles. The results support air quality satellite data exploitation at high latitudes and prepare for similar applications for future missions.
We present the comparison between satellite- and ground-based atmospheric NO2 observations in...
