Articles | Volume 11, issue 4
https://doi.org/10.5194/amt-11-2257-2018
© Author(s) 2018. 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-11-2257-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
19 Apr 2018
Research article |
| 19 Apr 2018
| 19 Apr 2018
Spatial distribution analysis of the OMI aerosol layer height: a pixel-by-pixel comparison to CALIOP observations
Department of Geoscience and Remote Sensing (GRS), Civil Engineering and Geosciences, TU Delft, the Netherlands
now at: European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT), Darmstadt, Germany
J. Pepijn Veefkind
Department of Geoscience and Remote Sensing (GRS), Civil Engineering and Geosciences, TU Delft, the Netherlands
Royal Netherlands Meteorological Institute, De Bilt, the Netherlands
Tim Vlemmix
Royal Netherlands Meteorological Institute, De Bilt, the Netherlands
Pieternel F. Levelt
Department of Geoscience and Remote Sensing (GRS), Civil Engineering and Geosciences, TU Delft, the Netherlands
Royal Netherlands Meteorological Institute, De Bilt, the Netherlands
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Cited
15 citations as recorded by crossref.
- Effect of solar zenith angle on satellite cloud retrievals based on O2–O2 absorption band G. Kim et al. 10.1080/01431161.2021.1890267
- 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
- Assessing PM2.5, Aerosol, and Aerosol Optical Depth Concentrations in Hefei Using Modis, Calipso, and Ground-Based Lidar Z. Fang et al. 10.1007/s10812-021-01242-z
- Assessing PM2.5 concentrations in Tehran, Iran, from space using MAIAC, deep blue, and dark target AOD and machine learning algorithms S. Nabavi et al. 10.1016/j.apr.2018.12.017
- Assessment of smoke plume height products derived from multisource satellite observations using lidar-derived height metrics for wildfires in the western US J. Huang et al. 10.5194/acp-24-3673-2024
- First validation of GOME-2/MetOp absorbing aerosol height using EARLINET lidar observations K. Michailidis et al. 10.5194/acp-21-3193-2021
- Hyperspectral Satellite Remote Sensing of Aerosol Parameters: Sensitivity Analysis and Application to TROPOMI/S5P L. Rao et al. 10.3389/fenvs.2021.770662
- A neural network radiative transfer model approach applied to the Tropospheric Monitoring Instrument aerosol height algorithm S. Nanda et al. 10.5194/amt-12-6619-2019
- First Mapping of Monthly and Diurnal Climatology of Saharan Dust Layer Height Over the Atlantic Ocean From EPIC/DSCOVR in Deep Space Z. Lu et al. 10.1029/2022GL102552
- Effects of spatiotemporal O4 column densities and temperature-dependent O4 absorption cross-section on an aerosol effective height retrieval algorithm using the O4 air mass factor from the ozone monitoring instrument W. Choi et al. 10.1016/j.rse.2019.05.001
- Investigating aerosol vertical distribution using CALIPSO time series over the Middle East and North Africa (MENA), Europe, and India: A BFAST-based gradual and abrupt change detection F. Brakhasi et al. 10.1016/j.rse.2021.112619
- First TROPOMI Retrieval of Aerosol Effective Height Using O₄ Absorption Band at 477 nm and Aerosol Classification W. Choi et al. 10.1109/TGRS.2020.3044050
- First results of cloud retrieval from the Geostationary Environmental Monitoring Spectrometer B. Kim et al. 10.5194/amt-17-453-2024
- A first comparison of TROPOMI aerosol layer height (ALH) to CALIOP data S. Nanda et al. 10.5194/amt-13-3043-2020
- Minimizing aerosol effects on the OMI tropospheric NO<sub>2</sub> retrieval – An improved use of the 477 nm O<sub>2</sub> − O<sub>2</sub> band and an estimation of the aerosol correction uncertainty J. Chimot et al. 10.5194/amt-12-491-2019
15 citations as recorded by crossref.
- Effect of solar zenith angle on satellite cloud retrievals based on O2–O2 absorption band G. Kim et al. 10.1080/01431161.2021.1890267
- 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
- Assessing PM2.5, Aerosol, and Aerosol Optical Depth Concentrations in Hefei Using Modis, Calipso, and Ground-Based Lidar Z. Fang et al. 10.1007/s10812-021-01242-z
- Assessing PM2.5 concentrations in Tehran, Iran, from space using MAIAC, deep blue, and dark target AOD and machine learning algorithms S. Nabavi et al. 10.1016/j.apr.2018.12.017
- Assessment of smoke plume height products derived from multisource satellite observations using lidar-derived height metrics for wildfires in the western US J. Huang et al. 10.5194/acp-24-3673-2024
- First validation of GOME-2/MetOp absorbing aerosol height using EARLINET lidar observations K. Michailidis et al. 10.5194/acp-21-3193-2021
- Hyperspectral Satellite Remote Sensing of Aerosol Parameters: Sensitivity Analysis and Application to TROPOMI/S5P L. Rao et al. 10.3389/fenvs.2021.770662
- A neural network radiative transfer model approach applied to the Tropospheric Monitoring Instrument aerosol height algorithm S. Nanda et al. 10.5194/amt-12-6619-2019
- First Mapping of Monthly and Diurnal Climatology of Saharan Dust Layer Height Over the Atlantic Ocean From EPIC/DSCOVR in Deep Space Z. Lu et al. 10.1029/2022GL102552
- Effects of spatiotemporal O4 column densities and temperature-dependent O4 absorption cross-section on an aerosol effective height retrieval algorithm using the O4 air mass factor from the ozone monitoring instrument W. Choi et al. 10.1016/j.rse.2019.05.001
- Investigating aerosol vertical distribution using CALIPSO time series over the Middle East and North Africa (MENA), Europe, and India: A BFAST-based gradual and abrupt change detection F. Brakhasi et al. 10.1016/j.rse.2021.112619
- First TROPOMI Retrieval of Aerosol Effective Height Using O₄ Absorption Band at 477 nm and Aerosol Classification W. Choi et al. 10.1109/TGRS.2020.3044050
- First results of cloud retrieval from the Geostationary Environmental Monitoring Spectrometer B. Kim et al. 10.5194/amt-17-453-2024
- A first comparison of TROPOMI aerosol layer height (ALH) to CALIOP data S. Nanda et al. 10.5194/amt-13-3043-2020
- Minimizing aerosol effects on the OMI tropospheric NO<sub>2</sub> retrieval – An improved use of the 477 nm O<sub>2</sub> − O<sub>2</sub> band and an estimation of the aerosol correction uncertainty J. Chimot et al. 10.5194/amt-12-491-2019
Latest update: 16 Jul 2024
Short summary
Aerosol layer height (ALH) was retrieved from the OMI 477 nm O2–O2 band and its spatial pattern evaluated over selected cloud-free scenes. We used a neural network approach previously trained and developed. Comparison with CALIOP aerosol level 2 products over urban and industrial pollution in east China shows consistent spatial patterns. In addition, we show the possibility to determine the height of thick aerosol layers released by intensive biomass burning events in South America and Russia.
Aerosol layer height (ALH) was retrieved from the OMI 477 nm O2–O2 band and its spatial pattern...
