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.
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
Viewed
Total article views: 3,949 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 06 Apr 2016)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
2,168 | 1,692 | 89 | 3,949 | 125 | 116 |
- HTML: 2,168
- PDF: 1,692
- XML: 89
- Total: 3,949
- BibTeX: 125
- EndNote: 116
Total article views: 3,159 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 15 Dec 2016)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
1,862 | 1,219 | 78 | 3,159 | 118 | 105 |
- HTML: 1,862
- PDF: 1,219
- XML: 78
- Total: 3,159
- BibTeX: 118
- EndNote: 105
Total article views: 790 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 06 Apr 2016)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
306 | 473 | 11 | 790 | 7 | 11 |
- HTML: 306
- PDF: 473
- XML: 11
- Total: 790
- BibTeX: 7
- EndNote: 11
Cited
60 citations as recorded by crossref.
- Impact of 3D cloud structures on the atmospheric trace gas products from UV–Vis sounders – Part 3: Bias estimate using synthetic and observational data A. Kylling et al. 10.5194/amt-15-3481-2022
- The operational cloud retrieval algorithms from TROPOMI on board Sentinel-5 Precursor D. Loyola et al. 10.5194/amt-11-409-2018
- Impact of Coronavirus Outbreak on NO2 Pollution Assessed Using TROPOMI and OMI Observations M. Bauwens et al. 10.1029/2020GL087978
- First results of cloud retrieval from the Geostationary Environmental Monitoring Spectrometer B. Kim et al. 10.5194/amt-17-453-2024
- A geometry-dependent surface Lambertian-equivalent reflectivity product for UV–Vis retrievals – Part 1: Evaluation over land surfaces using measurements from OMI at 466 nm W. Qin et al. 10.5194/amt-12-3997-2019
- 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
- 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
- Quality assessment of the Ozone_cci Climate Research Data Package (release 2017) – Part 1: Ground-based validation of total ozone column data products K. Garane et al. 10.5194/amt-11-1385-2018
- European NO<sub><i>x</i></sub> emissions in WRF-Chem derived from OMI: impacts on summertime surface ozone A. Visser et al. 10.5194/acp-19-11821-2019
- Cloud parameter retrieval for Environmental trace gases Monitoring Instrument (EMI) using the O2-O2 absorption band T. Yang et al. 10.1016/j.atmosres.2022.106597
- Discrete-wavelength DOAS NO<sub>2</sub> slant column retrievals from OMI and TROPOMI C. Ruiz Villena et al. 10.5194/amt-13-1735-2020
- The importance of surface reflectance anisotropy for cloud and NO<sub>2</sub> retrievals from GOME-2 and OMI A. Lorente et al. 10.5194/amt-11-4509-2018
- Validation of the Sentinel-5 Precursor TROPOMI cloud data with Cloudnet, Aura OMI O<sub>2</sub>–O<sub>2</sub>, MODIS, and Suomi-NPP VIIRS S. Compernolle et al. 10.5194/amt-14-2451-2021
- A geometry-dependent surface Lambertian-equivalent reflectivity product for UV–Vis retrievals – Part 2: Evaluation over open ocean Z. Fasnacht et al. 10.5194/amt-12-6749-2019
- Impact of 3D cloud structures on the atmospheric trace gas products from UV–Vis sounders – Part 1: Synthetic dataset for validation of trace gas retrieval algorithms C. Emde et al. 10.5194/amt-15-1587-2022
- High-resolution satellite-based cloud detection for the analysis of land surface effects on boundary layer clouds J. Fuchs et al. 10.5194/amt-15-4257-2022
- Improving algorithms and uncertainty estimates for satellite NO<sub>2</sub> retrievals: results from the quality assurance for the essential climate variables (QA4ECV) project K. Boersma et al. 10.5194/amt-11-6651-2018
- Comparative assessment of TROPOMI and OMI formaldehyde observations and validation against MAX-DOAS network column measurements I. De Smedt et al. 10.5194/acp-21-12561-2021
- 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
- Total column water vapour retrieval from S-5P/TROPOMI in the visible blue spectral range C. Borger et al. 10.5194/amt-13-2751-2020
- An alternative cloud index for estimating downwelling surface solar irradiance from various satellite imagers in the framework of a Heliosat-V method B. Tournadre et al. 10.5194/amt-15-3683-2022
- Reductions in nitrogen oxides over the Netherlands between 2005 and 2018 observed from space and on the ground: Decreasing emissions and increasing O3 indicate changing NOx chemistry M. Zara et al. 10.1016/j.aeaoa.2021.100104
- An improved total and tropospheric NO<sub>2</sub> column retrieval for GOME-2 S. Liu et al. 10.5194/amt-12-1029-2019
- Tree-based ensemble deep learning model for spatiotemporal surface ozone (O3) prediction and interpretation Z. Zang et al. 10.1016/j.jag.2021.102516
- Satellite Evidence for Glyoxal Depletion in Elevated Fire Plumes C. Lerot et al. 10.1029/2022GL102195
- Satellite remote-sensing capability to assess tropospheric-column ratios of formaldehyde and nitrogen dioxide: case study during the Long Island Sound Tropospheric Ozone Study 2018 (LISTOS 2018) field campaign M. Johnson et al. 10.5194/amt-16-2431-2023
- 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
- Satellite verification of ultra-low emission reduction effect of coal-fired power plants X. Jiao et al. 10.1016/j.apr.2020.04.005
- 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
- Impact of 3D cloud structures on the atmospheric trace gas products from UV–Vis sounders – Part 2: Impact on NO2 retrieval and mitigation strategies H. Yu et al. 10.5194/amt-15-5743-2022
- 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
- FRESCO-B: a fast cloud retrieval algorithm using oxygen B-band measurements from GOME-2 M. Desmons et al. 10.5194/amt-12-2485-2019
- Sentinel-5P TROPOMI NO<sub>2</sub> retrieval: impact of version v2.2 improvements and comparisons with OMI and ground-based data J. van Geffen et al. 10.5194/amt-15-2037-2022
- Development and Application of HECORA Cloud Retrieval Algorithm Based On the O2-O2 477 nm Absorption Band S. Wang et al. 10.3390/rs12183039
- Glyoxal tropospheric column retrievals from TROPOMI – multi-satellite intercomparison and ground-based validation C. Lerot et al. 10.5194/amt-14-7775-2021
- 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
- Intercomparison of Sentinel-5P TROPOMI cloud products for tropospheric trace gas retrievals M. Latsch et al. 10.5194/amt-15-6257-2022
- New observations of NO<sub>2</sub> in the upper troposphere from TROPOMI E. Marais et al. 10.5194/amt-14-2389-2021
- New Era of Air Quality Monitoring from Space: Geostationary Environment Monitoring Spectrometer (GEMS) J. Kim et al. 10.1175/BAMS-D-18-0013.1
- Validation of Aura-OMI QA4ECV NO<sub>2</sub> climate data records with ground-based DOAS networks: the role of measurement and comparison uncertainties S. Compernolle et al. 10.5194/acp-20-8017-2020
- MICRU: an effective cloud fraction algorithm designed for UV–vis satellite instruments with large viewing angles H. Sihler et al. 10.5194/amt-14-3989-2021
- A Fast Retrieval of Cloud Parameters Using a Triplet of Wavelengths of Oxygen Dimer Band around 477 nm H. Choi et al. 10.3390/rs13010152
- Analysis of properties of the 19 February 2018 volcanic eruption of Mount Sinabung in S5P/TROPOMI and Himawari-8 satellite data A. de Laat et al. 10.5194/nhess-20-1203-2020
- Aerosol direct radiative effect over clouds from a synergy of Ozone Monitoring Instrument (OMI) and Moderate Resolution Imaging Spectroradiometer (MODIS) reflectances M. de Graaf et al. 10.5194/amt-12-5119-2019
- Ozone Monitoring Instrument (OMI) Total Column Water Vapor version 4 validation and applications H. Wang et al. 10.5194/amt-12-5183-2019
- A Cloud Identification Method Based on Spectral and Textural Characteristics of Oxygen A Band in TROPOMI Imagery Z. Guo et al. 10.1109/TGRS.2023.3336655
- Impact of synthetic space-borne NO<sub>2</sub> observations from the Sentinel-4 and Sentinel-5P missions on tropospheric NO<sub>2</sub> analyses R. Timmermans et al. 10.5194/acp-19-12811-2019
- 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 solar zenith angle on satellite cloud retrievals based on O2–O2 absorption band G. Kim et al. 10.1080/01431161.2021.1890267
- The Ozone Monitoring Instrument: overview of 14 years in space P. Levelt et al. 10.5194/acp-18-5699-2018
- 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
- 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
- Validation of OMI HCHO Products Using MAX-DOAS observations from 2010 to 2016 in Xianghe, Beijing: Investigation of the Effects of Aerosols on Satellite Products Y. Wang et al. 10.3390/rs11020203
- A cloud algorithm based on the O2-O2 477 nm absorption band featuring an advanced spectral fitting method and the use of surface geometry-dependent Lambertian-equivalent reflectivity A. Vasilkov et al. 10.5194/amt-11-4093-2018
- 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
60 citations as recorded by crossref.
- Impact of 3D cloud structures on the atmospheric trace gas products from UV–Vis sounders – Part 3: Bias estimate using synthetic and observational data A. Kylling et al. 10.5194/amt-15-3481-2022
- The operational cloud retrieval algorithms from TROPOMI on board Sentinel-5 Precursor D. Loyola et al. 10.5194/amt-11-409-2018
- Impact of Coronavirus Outbreak on NO2 Pollution Assessed Using TROPOMI and OMI Observations M. Bauwens et al. 10.1029/2020GL087978
- First results of cloud retrieval from the Geostationary Environmental Monitoring Spectrometer B. Kim et al. 10.5194/amt-17-453-2024
- A geometry-dependent surface Lambertian-equivalent reflectivity product for UV–Vis retrievals – Part 1: Evaluation over land surfaces using measurements from OMI at 466 nm W. Qin et al. 10.5194/amt-12-3997-2019
- 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
- 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
- Quality assessment of the Ozone_cci Climate Research Data Package (release 2017) – Part 1: Ground-based validation of total ozone column data products K. Garane et al. 10.5194/amt-11-1385-2018
- European NO<sub><i>x</i></sub> emissions in WRF-Chem derived from OMI: impacts on summertime surface ozone A. Visser et al. 10.5194/acp-19-11821-2019
- Cloud parameter retrieval for Environmental trace gases Monitoring Instrument (EMI) using the O2-O2 absorption band T. Yang et al. 10.1016/j.atmosres.2022.106597
- Discrete-wavelength DOAS NO<sub>2</sub> slant column retrievals from OMI and TROPOMI C. Ruiz Villena et al. 10.5194/amt-13-1735-2020
- The importance of surface reflectance anisotropy for cloud and NO<sub>2</sub> retrievals from GOME-2 and OMI A. Lorente et al. 10.5194/amt-11-4509-2018
- Validation of the Sentinel-5 Precursor TROPOMI cloud data with Cloudnet, Aura OMI O<sub>2</sub>–O<sub>2</sub>, MODIS, and Suomi-NPP VIIRS S. Compernolle et al. 10.5194/amt-14-2451-2021
- A geometry-dependent surface Lambertian-equivalent reflectivity product for UV–Vis retrievals – Part 2: Evaluation over open ocean Z. Fasnacht et al. 10.5194/amt-12-6749-2019
- Impact of 3D cloud structures on the atmospheric trace gas products from UV–Vis sounders – Part 1: Synthetic dataset for validation of trace gas retrieval algorithms C. Emde et al. 10.5194/amt-15-1587-2022
- High-resolution satellite-based cloud detection for the analysis of land surface effects on boundary layer clouds J. Fuchs et al. 10.5194/amt-15-4257-2022
- Improving algorithms and uncertainty estimates for satellite NO<sub>2</sub> retrievals: results from the quality assurance for the essential climate variables (QA4ECV) project K. Boersma et al. 10.5194/amt-11-6651-2018
- Comparative assessment of TROPOMI and OMI formaldehyde observations and validation against MAX-DOAS network column measurements I. De Smedt et al. 10.5194/acp-21-12561-2021
- 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
- Total column water vapour retrieval from S-5P/TROPOMI in the visible blue spectral range C. Borger et al. 10.5194/amt-13-2751-2020
- An alternative cloud index for estimating downwelling surface solar irradiance from various satellite imagers in the framework of a Heliosat-V method B. Tournadre et al. 10.5194/amt-15-3683-2022
- Reductions in nitrogen oxides over the Netherlands between 2005 and 2018 observed from space and on the ground: Decreasing emissions and increasing O3 indicate changing NOx chemistry M. Zara et al. 10.1016/j.aeaoa.2021.100104
- An improved total and tropospheric NO<sub>2</sub> column retrieval for GOME-2 S. Liu et al. 10.5194/amt-12-1029-2019
- Tree-based ensemble deep learning model for spatiotemporal surface ozone (O3) prediction and interpretation Z. Zang et al. 10.1016/j.jag.2021.102516
- Satellite Evidence for Glyoxal Depletion in Elevated Fire Plumes C. Lerot et al. 10.1029/2022GL102195
- Satellite remote-sensing capability to assess tropospheric-column ratios of formaldehyde and nitrogen dioxide: case study during the Long Island Sound Tropospheric Ozone Study 2018 (LISTOS 2018) field campaign M. Johnson et al. 10.5194/amt-16-2431-2023
- 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
- Satellite verification of ultra-low emission reduction effect of coal-fired power plants X. Jiao et al. 10.1016/j.apr.2020.04.005
- 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
- Impact of 3D cloud structures on the atmospheric trace gas products from UV–Vis sounders – Part 2: Impact on NO2 retrieval and mitigation strategies H. Yu et al. 10.5194/amt-15-5743-2022
- 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
- FRESCO-B: a fast cloud retrieval algorithm using oxygen B-band measurements from GOME-2 M. Desmons et al. 10.5194/amt-12-2485-2019
- Sentinel-5P TROPOMI NO<sub>2</sub> retrieval: impact of version v2.2 improvements and comparisons with OMI and ground-based data J. van Geffen et al. 10.5194/amt-15-2037-2022
- Development and Application of HECORA Cloud Retrieval Algorithm Based On the O2-O2 477 nm Absorption Band S. Wang et al. 10.3390/rs12183039
- Glyoxal tropospheric column retrievals from TROPOMI – multi-satellite intercomparison and ground-based validation C. Lerot et al. 10.5194/amt-14-7775-2021
- 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
- Intercomparison of Sentinel-5P TROPOMI cloud products for tropospheric trace gas retrievals M. Latsch et al. 10.5194/amt-15-6257-2022
- New observations of NO<sub>2</sub> in the upper troposphere from TROPOMI E. Marais et al. 10.5194/amt-14-2389-2021
- New Era of Air Quality Monitoring from Space: Geostationary Environment Monitoring Spectrometer (GEMS) J. Kim et al. 10.1175/BAMS-D-18-0013.1
- Validation of Aura-OMI QA4ECV NO<sub>2</sub> climate data records with ground-based DOAS networks: the role of measurement and comparison uncertainties S. Compernolle et al. 10.5194/acp-20-8017-2020
- MICRU: an effective cloud fraction algorithm designed for UV–vis satellite instruments with large viewing angles H. Sihler et al. 10.5194/amt-14-3989-2021
- A Fast Retrieval of Cloud Parameters Using a Triplet of Wavelengths of Oxygen Dimer Band around 477 nm H. Choi et al. 10.3390/rs13010152
- Analysis of properties of the 19 February 2018 volcanic eruption of Mount Sinabung in S5P/TROPOMI and Himawari-8 satellite data A. de Laat et al. 10.5194/nhess-20-1203-2020
- Aerosol direct radiative effect over clouds from a synergy of Ozone Monitoring Instrument (OMI) and Moderate Resolution Imaging Spectroradiometer (MODIS) reflectances M. de Graaf et al. 10.5194/amt-12-5119-2019
- Ozone Monitoring Instrument (OMI) Total Column Water Vapor version 4 validation and applications H. Wang et al. 10.5194/amt-12-5183-2019
- A Cloud Identification Method Based on Spectral and Textural Characteristics of Oxygen A Band in TROPOMI Imagery Z. Guo et al. 10.1109/TGRS.2023.3336655
- Impact of synthetic space-borne NO<sub>2</sub> observations from the Sentinel-4 and Sentinel-5P missions on tropospheric NO<sub>2</sub> analyses R. Timmermans et al. 10.5194/acp-19-12811-2019
- 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 solar zenith angle on satellite cloud retrievals based on O2–O2 absorption band G. Kim et al. 10.1080/01431161.2021.1890267
- The Ozone Monitoring Instrument: overview of 14 years in space P. Levelt et al. 10.5194/acp-18-5699-2018
- 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
- 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
- Validation of OMI HCHO Products Using MAX-DOAS observations from 2010 to 2016 in Xianghe, Beijing: Investigation of the Effects of Aerosols on Satellite Products Y. Wang et al. 10.3390/rs11020203
- A cloud algorithm based on the O2-O2 477 nm absorption band featuring an advanced spectral fitting method and the use of surface geometry-dependent Lambertian-equivalent reflectivity A. Vasilkov et al. 10.5194/amt-11-4093-2018
- 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: 06 Oct 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...