Articles | Volume 9, issue 2
https://doi.org/10.5194/amt-9-359-2016
© 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-9-359-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
05 Feb 2016
Research article |
| 05 Feb 2016
Impact of aerosols on the OMI tropospheric NO2 retrievals over industrialized regions: how accurate is the aerosol correction of cloud-free scenes via a simple cloud model?
Department of Geoscience and Remote Sensing (GRS), Civil Engineering and Geosciences, TU Delft, Delft, the Netherlands
T. Vlemmix
Department of Geoscience and Remote Sensing (GRS), Civil Engineering and Geosciences, TU Delft, Delft, the Netherlands
J. P. Veefkind
Department of Geoscience and Remote Sensing (GRS), Civil Engineering and Geosciences, TU Delft, Delft, the Netherlands
Royal Netherlands Meteorological Institute, De Bilt, the Netherlands
J. F. de Haan
Royal Netherlands Meteorological Institute, De Bilt, the Netherlands
P. F. Levelt
Department of Geoscience and Remote Sensing (GRS), Civil Engineering and Geosciences, TU Delft, Delft, the Netherlands
Royal Netherlands Meteorological Institute, De Bilt, the Netherlands
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- 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
- 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
- Langley Calibration Analysis of Solar Spectroradiometric Measurements: Spectral Aerosol Optical Thickness Retrievals U. Jeong et al. 10.1002/2017JD028262
- 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
- Minimizing aerosol effects on the OMI tropospheric NO2 retrieval – An improved use of the 477 nm O2 − O2 band and an estimation of the aerosol correction uncertainty J. Chimot et al. 10.5194/amt-12-491-2019
- 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
- Sensitivity of formaldehyde (HCHO) column measurements from a geostationary satellite to temporal variation of the air mass factor in East Asia H. Kwon et al. 10.5194/acp-17-4673-2017
- Improved aerosol correction for OMI tropospheric NO<sub>2</sub> retrieval over East Asia: constraint from CALIOP aerosol vertical profile M. Liu et al. 10.5194/amt-12-1-2019
- Introduction of the DISAMAR radiative transfer model: determining instrument specifications and analysing methods for atmospheric retrieval (version 4.1.5) J. de Haan et al. 10.5194/gmd-15-7031-2022
- 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
- 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
- Reductions in NO 2 burden over north equatorial Africa from decline in biomass burning in spite of growing fossil fuel use, 2005 to 2017 J. Hickman et al. 10.1073/pnas.2002579118
- Satellite NO2 Retrieval Complicated by Aerosol Composition over Global Urban Agglomerations: Seasonal Variations and Long-Term Trends (2001–2018) S. Liu et al. 10.1021/acs.est.3c02111
- The global daily High Spatial–Temporal Coverage Merged tropospheric NO2 dataset (HSTCM-NO2) from 2007 to 2022 based on OMI and GOME-2 K. Qin et al. 10.5194/essd-16-5287-2024
- 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
- Contrasting effects of emission control on air pollution in Central China during the 2019 Military World Games based on satellite and ground observations M. Tao et al. 10.1016/j.atmosres.2021.105657
- Global fine-scale changes in ambient NO2 during COVID-19 lockdowns M. Cooper et al. 10.1038/s41586-021-04229-0
- 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
- Exploring the influence of two inventories on simulated air pollutants during winter over the Yangtze River Delta T. Sha et al. 10.1016/j.atmosenv.2019.03.006
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- NO<sub>2</sub> and HCHO measurements in Korea from 2012 to 2016 from Pandora spectrometer instruments compared with OMI retrievals and with aircraft measurements during the KORUS-AQ campaign J. Herman et al. 10.5194/amt-11-4583-2018
- Spatial distribution analysis of the OMI aerosol layer height: a pixel-by-pixel comparison to CALIOP observations J. Chimot et al. 10.5194/amt-11-2257-2018
- 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
- Effect of temperature-dependent cross sections on O4 slant column density estimation by a space-borne UV–visible hyperspectral sensor S. Park et al. 10.1016/j.atmosenv.2016.12.020
- Adverse results of the economic crisis: A study on the emergence of enhanced formaldehyde (HCHO) levels seen from satellites over Greek urban sites I. Zyrichidou et al. 10.1016/j.atmosres.2019.03.017
Saved (preprint)
Latest update: 21 Nov 2024
Short summary
The interplay between aerosols and the OMI O2–O2 cloud retrieval algorithm is analysed in detail to evaluate the impacts on the accuracy of the tropospheric NO2 retrievals over cloud-free scenes. Collocated OMI NO2 and MODIS Aqua aerosol products are compared over E China, in industrialized areas; the OMI O2–O2 cloud retrieval algorithm is implemented on synthetic study cases dominated by aerosol particles. The resulting biases highlight the need for an improved aerosol correction.
The interplay between aerosols and the OMI O2–O2 cloud retrieval algorithm is analysed in detail...
