Articles | Volume 11, issue 7
https://doi.org/10.5194/amt-11-4093-2018
© 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-11-4093-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
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
Alexander Vasilkov
CORRESPONDING AUTHOR
Science Systems and Applications Inc., Lanham, MD, USA
Eun-Su Yang
Science Systems and Applications Inc., Lanham, MD, USA
Sergey Marchenko
Science Systems and Applications Inc., Lanham, MD, USA
Wenhan Qin
Science Systems and Applications Inc., Lanham, MD, USA
Lok Lamsal
Universities Space Research Association, Columbia, MD, USA
Joanna Joiner
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Nickolay Krotkov
NASA Goddard Space Flight Center, Greenbelt, MD, USA
David Haffner
Science Systems and Applications Inc., Lanham, MD, USA
Pawan K. Bhartia
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Robert Spurr
RT Solutions Inc., Cambridge, MA, USA
Viewed
Total article views: 3,020 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 11 Apr 2018)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
2,123 | 810 | 87 | 3,020 | 94 | 82 |
- HTML: 2,123
- PDF: 810
- XML: 87
- Total: 3,020
- BibTeX: 94
- EndNote: 82
Total article views: 2,273 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 16 Jul 2018)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
1,585 | 606 | 82 | 2,273 | 92 | 76 |
- HTML: 1,585
- PDF: 606
- XML: 82
- Total: 2,273
- BibTeX: 92
- EndNote: 76
Total article views: 747 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 11 Apr 2018)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
538 | 204 | 5 | 747 | 2 | 6 |
- HTML: 538
- PDF: 204
- XML: 5
- Total: 747
- BibTeX: 2
- EndNote: 6
Viewed (geographical distribution)
Total article views: 3,020 (including HTML, PDF, and XML)
Thereof 2,908 with geography defined
and 112 with unknown origin.
Total article views: 2,273 (including HTML, PDF, and XML)
Thereof 2,168 with geography defined
and 105 with unknown origin.
Total article views: 747 (including HTML, PDF, and XML)
Thereof 740 with geography defined
and 7 with unknown origin.
Country | # | Views | % |
---|
Country | # | Views | % |
---|
Country | # | Views | % |
---|
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Cited
19 citations as recorded by crossref.
- 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
- 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
- Ozone and Nitrogen Dioxide Pollution in a Coastal Urban Environment: The Role of Sea Breezes, and Implications of Their Representation for Remote Sensing of Local Air Quality J. Geddes et al. 10.1029/2021JD035314
- 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
- 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
- Applying FP_ILM to the retrieval of geometry-dependent effective Lambertian equivalent reflectivity (GE_LER) daily maps from UVN satellite measurements D. Loyola et al. 10.5194/amt-13-985-2020
- 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
- Use of Hyper-Spectral Visible and Near-Infrared Satellite Data for Timely Estimates of the Earth’s Surface Reflectance in Cloudy and Aerosol Loaded Conditions: Part 1–Application to RGB Image Restoration Over Land With GOME-2 J. Joiner et al. 10.3389/frsen.2021.716430
- 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
- Remote Sensing Measurements at a Rural Site in China: Implications for Satellite NO2 and HCHO Measurement Uncertainty and Emissions From Fires K. Chong et al. 10.1029/2023JD039310
- Use of machine learning and principal component analysis to retrieve nitrogen dioxide (NO2) with hyperspectral imagers and reduce noise in spectral fitting J. Joiner et al. 10.5194/amt-16-481-2023
- Atmospheric Trace Gas (NO2 and O3) Variability in South Korean Coastal Waters, and Implications for Remote Sensing of Coastal Ocean Color Dynamics M. Tzortziou et al. 10.3390/rs10101587
- 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
- Development and Application of HECORA Cloud Retrieval Algorithm Based On the O2-O2 477 nm Absorption Band S. Wang et al. 10.3390/rs12183039
- 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
- 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
- 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
- Effect of solar zenith angle on satellite cloud retrievals based on O2–O2 absorption band G. Kim et al. 10.1080/01431161.2021.1890267
19 citations as recorded by crossref.
- 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
- 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
- Ozone and Nitrogen Dioxide Pollution in a Coastal Urban Environment: The Role of Sea Breezes, and Implications of Their Representation for Remote Sensing of Local Air Quality J. Geddes et al. 10.1029/2021JD035314
- 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
- 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
- Applying FP_ILM to the retrieval of geometry-dependent effective Lambertian equivalent reflectivity (GE_LER) daily maps from UVN satellite measurements D. Loyola et al. 10.5194/amt-13-985-2020
- 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
- Use of Hyper-Spectral Visible and Near-Infrared Satellite Data for Timely Estimates of the Earth’s Surface Reflectance in Cloudy and Aerosol Loaded Conditions: Part 1–Application to RGB Image Restoration Over Land With GOME-2 J. Joiner et al. 10.3389/frsen.2021.716430
- 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
- Remote Sensing Measurements at a Rural Site in China: Implications for Satellite NO2 and HCHO Measurement Uncertainty and Emissions From Fires K. Chong et al. 10.1029/2023JD039310
- Use of machine learning and principal component analysis to retrieve nitrogen dioxide (NO2) with hyperspectral imagers and reduce noise in spectral fitting J. Joiner et al. 10.5194/amt-16-481-2023
- Atmospheric Trace Gas (NO2 and O3) Variability in South Korean Coastal Waters, and Implications for Remote Sensing of Coastal Ocean Color Dynamics M. Tzortziou et al. 10.3390/rs10101587
- 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
- Development and Application of HECORA Cloud Retrieval Algorithm Based On the O2-O2 477 nm Absorption Band S. Wang et al. 10.3390/rs12183039
- 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
- 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
- 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
- Effect of solar zenith angle on satellite cloud retrievals based on O2–O2 absorption band G. Kim et al. 10.1080/01431161.2021.1890267
Latest update: 24 Dec 2024
Short summary
We discuss a new cloud algorithm that retrieves effective cloud fraction and cloud altitude and pressure from the oxygen dimer absorption band at 477 nm. The algorithm accounts for how changes in the sun–satellite geometry affect the surface reflection. The cloud fraction and pressure are used as inputs to the OMI algorithm that retrieves a pollutant gas called nitrogen dioxide. Impacts of the application of the newly developed cloud algorithm on the OMI nitrogen dioxide retrieval are discussed.
We discuss a new cloud algorithm that retrieves effective cloud fraction and cloud altitude and...