Articles | Volume 15, issue 10
https://doi.org/10.5194/acp-15-5627-2015
© Author(s) 2015. 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-15-5627-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
21 May 2015
Research article |
| 21 May 2015
Development of a custom OMI NO2 data product for evaluating biases in a regional chemistry transport model
G. Kuhlmann
CORRESPONDING AUTHOR
School of Energy and Environment, City University of Hong Kong, Hong Kong, China
Empa, Swiss Federal Laboratories for Materials Science and Technology, Dübendorf, Switzerland
School of Energy and Environment, City University of Hong Kong, Hong Kong, China
Guy Carpenter Asia-Pacific Climate Impact Centre, School of Energy and Environment, City University of Hong Kong, Hong Kong, China
H. M. Cheung
School of Energy and Environment, City University of Hong Kong, Hong Kong, China
A. Hartl
School of Energy and Environment, City University of Hong Kong, Hong Kong, China
J. C. H. Fung
Department of Mathematics, The Hong Kong University of Science & Technology, Hong Kong, China
P. W. Chan
Hong Kong Observatory, Hong Kong, China
M. O. Wenig
Meteorologisches Institut, Ludwig-Maximilians-Universität, Munich, Germany
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31 citations as recorded by crossref.
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- Improved simulation of tropospheric ozone by a global-multi-regional two-way coupling model system Y. Yan et al. 10.5194/acp-16-2381-2016
- Analysis of spatial and temporal patterns of on-road NO<sub>2</sub> concentrations in Hong Kong Y. Zhu et al. 10.5194/amt-11-6719-2018
- An integrated analysis of air pollution from US coal-fired power plants M. Filonchyk & M. Peterson 10.1016/j.gsf.2022.101498
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- Intraurban NO2 hotspot detection across multiple air quality products A. Montgomery et al. 10.1088/1748-9326/acf7d5
- Accounting for the effects of surface BRDF on satellite cloud and trace-gas retrievals: a new approach based on geometry-dependent Lambertian equivalent reflectivity applied to OMI algorithms A. Vasilkov et al. 10.5194/amt-10-333-2017
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- Meteorological modeling relevant to mesoscale and regional air quality applications: a review R. McNider & A. Pour-Biazar 10.1080/10962247.2019.1694602
- Structural uncertainty in air mass factor calculation for NO<sub>2</sub> and HCHO satellite retrievals A. Lorente et al. 10.5194/amt-10-759-2017
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- The version 3 OMI NO<sub>2</sub> standard product N. Krotkov et al. 10.5194/amt-10-3133-2017
- Quantification of the effect of modeled lightning NO<sub>2</sub> on UV–visible air mass factors J. Laughner & R. Cohen 10.5194/amt-10-4403-2017
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- Characterizing NO2in Indonesia Using Satellite Ozone Monitoring Instruments T. Darmawan & A. Syafei 10.1088/1755-1315/284/1/012011
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- Improved Satellite Retrieval of Tropospheric NO2 Column Density via Updating of Air Mass Factor (AMF): Case Study of Southern China H. Mak et al. 10.3390/rs10111789
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- 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
- An exploratory study on the aerosol height retrieval from OMI measurements of the 477 nm O<sub>2</sub> − O<sub>2</sub> spectral band using a neural network approach J. Chimot et al. 10.5194/amt-10-783-2017
- Impact of aerosols on the OMI tropospheric NO<sub>2</sub> retrievals over industrialized regions: how accurate is the aerosol correction of cloud-free scenes via a simple cloud model? J. Chimot et al. 10.5194/amt-9-359-2016
- 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
- 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
- An improved TROPOMI tropospheric NO<sub>2</sub> research product over Europe S. Liu et al. 10.5194/amt-14-7297-2021
- First observation of tropospheric nitrogen dioxide from the Environmental Trace Gases Monitoring Instrument onboard the GaoFen-5 satellite C. Zhang et al. 10.1038/s41377-020-0306-z
- 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
31 citations as recorded by crossref.
- Effects of daily meteorology on the interpretation of space-based remote sensing of NO<sub>2</sub> J. Laughner et al. 10.5194/acp-16-15247-2016
- Global association between satellite-derived nitrogen dioxide (NO2) and lockdown policies under the COVID-19 pandemic H. Zhang et al. 10.1016/j.scitotenv.2020.144148
- Improved simulation of tropospheric ozone by a global-multi-regional two-way coupling model system Y. Yan et al. 10.5194/acp-16-2381-2016
- Analysis of spatial and temporal patterns of on-road NO<sub>2</sub> concentrations in Hong Kong Y. Zhu et al. 10.5194/amt-11-6719-2018
- An integrated analysis of air pollution from US coal-fired power plants M. Filonchyk & M. Peterson 10.1016/j.gsf.2022.101498
- Estimating daily surface NO<sub>2</sub> concentrations from satellite data – a case study over Hong Kong using land use regression models J. Anand & P. Monks 10.5194/acp-17-8211-2017
- A top-down assessment using OMI NO<sub>2</sub> suggests an underestimate in the NO<sub><i>x</i></sub> emissions inventory in Seoul, South Korea, during KORUS-AQ D. Goldberg et al. 10.5194/acp-19-1801-2019
- Intraurban NO2 hotspot detection across multiple air quality products A. Montgomery et al. 10.1088/1748-9326/acf7d5
- Accounting for the effects of surface BRDF on satellite cloud and trace-gas retrievals: a new approach based on geometry-dependent Lambertian equivalent reflectivity applied to OMI algorithms A. Vasilkov et al. 10.5194/amt-10-333-2017
- A high-resolution and observationally constrained OMI NO<sub>2</sub> satellite retrieval D. Goldberg et al. 10.5194/acp-17-11403-2017
- Meteorological modeling relevant to mesoscale and regional air quality applications: a review R. McNider & A. Pour-Biazar 10.1080/10962247.2019.1694602
- Structural uncertainty in air mass factor calculation for NO<sub>2</sub> and HCHO satellite retrievals A. Lorente et al. 10.5194/amt-10-759-2017
- An improved total and tropospheric NO<sub>2</sub> column retrieval for GOME-2 S. Liu et al. 10.5194/amt-12-1029-2019
- The version 3 OMI NO<sub>2</sub> standard product N. Krotkov et al. 10.5194/amt-10-3133-2017
- Quantification of the effect of modeled lightning NO<sub>2</sub> on UV–visible air mass factors J. Laughner & R. Cohen 10.5194/amt-10-4403-2017
- 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
- DeepSAT4D: Deep learning empowers four-dimensional atmospheric chemical concentration and emission retrieval from satellite S. Li & J. Xing 10.59717/j.xinn-geo.2024.100061
- Characterizing NO2in Indonesia Using Satellite Ozone Monitoring Instruments T. Darmawan & A. Syafei 10.1088/1755-1315/284/1/012011
- Space-based NO<sub><i>x</i></sub> emission estimates over remote regions improved in DECSO J. Ding et al. 10.5194/amt-10-925-2017
- Improved Satellite Retrieval of Tropospheric NO2 Column Density via Updating of Air Mass Factor (AMF): Case Study of Southern China H. Mak et al. 10.3390/rs10111789
- Examination of Nudging Schemes in the Simulation of Meteorology for Use in Air Quality Experiments: Application in the Great Lakes Region M. Odman et al. 10.1175/JAMC-D-18-0206.1
- Polarization performance simulation for the GeoXO atmospheric composition instrument: NO2 retrieval impacts A. Pearlman et al. 10.5194/amt-15-4489-2022
- Estimation of OH in urban plumes using TROPOMI-inferred NO2 ∕ CO S. Lama et al. 10.5194/acp-22-16053-2022
- 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
- An exploratory study on the aerosol height retrieval from OMI measurements of the 477 nm O<sub>2</sub> − O<sub>2</sub> spectral band using a neural network approach J. Chimot et al. 10.5194/amt-10-783-2017
- Impact of aerosols on the OMI tropospheric NO<sub>2</sub> retrievals over industrialized regions: how accurate is the aerosol correction of cloud-free scenes via a simple cloud model? J. Chimot et al. 10.5194/amt-9-359-2016
- 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
- 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
- An improved TROPOMI tropospheric NO<sub>2</sub> research product over Europe S. Liu et al. 10.5194/amt-14-7297-2021
- First observation of tropospheric nitrogen dioxide from the Environmental Trace Gases Monitoring Instrument onboard the GaoFen-5 satellite C. Zhang et al. 10.1038/s41377-020-0306-z
- 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
Saved (final revised paper)
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Latest update: 21 Jan 2025
Short summary
Regional NO2 distributions can be simulated by models or retrieved from satellite observations. We developed a custom OMI NO2 data product for the Pearl River delta region which reduces biases compared to the standard product. The product is used for the evaluation of a regional air quality model for which it is a useful addition to ground measurements. The unbiased NO2 data product can be very helpful for air pollution studies in urban areas.
Regional NO2 distributions can be simulated by models or retrieved from satellite observations....
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