Articles | Volume 9, issue 12
https://doi.org/10.5194/amt-9-6035-2016
© 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-9-6035-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
15 Dec 2016
Research article |
| 15 Dec 2016
Improvements to the OMI O2–O2 operational cloud algorithm and comparisons with ground-based radar–lidar observations
Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
Delft University of Technology, Faculty of Civil Engineering and Geosciences, Delft, the Netherlands
Johan F. de Haan
Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
Maarten Sneep
Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
Pieternel F. Levelt
Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
Delft University of Technology, Faculty of Civil Engineering and Geosciences, Delft, the Netherlands
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- 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
- Intercomparison of Sentinel-5P TROPOMI cloud products for tropospheric trace gas retrievals M. Latsch et al. 10.5194/amt-15-6257-2022
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- Quantifying Contributions of Local Emissions and Regional Transport to NOX in Beijing Using TROPOMI Constrained WRF-Chem Simulation Y. Zhu et al. 10.3390/rs13091798
- Calculating the vertical column density of O<sub>4</sub> during daytime from surface values of pressure, temperature, and relative humidity S. Beirle et al. 10.5194/amt-15-987-2022
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- 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
- Bias correction of OMI HCHO columns based on FTIR and aircraft measurements and impact on top-down emission estimates J. Müller et al. 10.5194/acp-24-2207-2024
- Algorithm theoretical baseline for formaldehyde retrievals from S5P TROPOMI and from the QA4ECV project I. De Smedt et al. 10.5194/amt-11-2395-2018
- Description of a formaldehyde retrieval algorithm for the Geostationary Environment Monitoring Spectrometer (GEMS) H. Kwon et al. 10.5194/amt-12-3551-2019
- Directionally dependent Lambertian-equivalent reflectivity (DLER) of the Earth's surface measured by the GOME-2 satellite instruments L. Tilstra et al. 10.5194/amt-14-4219-2021
Saved (preprint)
Latest update: 01 May 2024
Short summary
The Ozone Monitoring Instrument (OMI) on board the NASA EOS Aura satellite monitors the concentrations of trace gases. The accuracy of such observations relies partly on information on clouds. The OMI OMCLDO2 product derives the cloud fraction and pressure from the observed radiance in the visible. This paper reports on an improved version of this product. Compared to the previous version, the changes in cloud fraction are very small, but the changes in the cloud pressure can be significant.
The Ozone Monitoring Instrument (OMI) on board the NASA EOS Aura satellite monitors the...
