Articles | Volume 9, issue 10
https://doi.org/10.5194/amt-9-4977-2016
© 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-9-4977-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
11 Oct 2016
Research article |
| 11 Oct 2016
Cloud information content analysis of multi-angular measurements in the oxygen A-band: application to 3MI and MSPI
Guillaume Merlin
Laboratoire d'Optique Atmosphérique, Université de Lille 1, Sciences et Technologies, Villeneuve d'Ascq, France
Jérôme Riedi
CORRESPONDING AUTHOR
Laboratoire d'Optique Atmosphérique, Université de Lille 1, Sciences et Technologies, Villeneuve d'Ascq, France
Laurent C. Labonnote
Laboratoire d'Optique Atmosphérique, Université de Lille 1, Sciences et Technologies, Villeneuve d'Ascq, France
Céline Cornet
Laboratoire d'Optique Atmosphérique, Université de Lille 1, Sciences et Technologies, Villeneuve d'Ascq, France
Anthony B. Davis
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
Phillipe Dubuisson
Laboratoire d'Optique Atmosphérique, Université de Lille 1, Sciences et Technologies, Villeneuve d'Ascq, France
Marine Desmons
Laboratoire d'Optique Atmosphérique, Université de Lille 1, Sciences et Technologies, Villeneuve d'Ascq, France
Nicolas Ferlay
Laboratoire d'Optique Atmosphérique, Université de Lille 1, Sciences et Technologies, Villeneuve d'Ascq, France
Frédéric Parol
Laboratoire d'Optique Atmosphérique, Université de Lille 1, Sciences et Technologies, Villeneuve d'Ascq, France
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Cited
18 citations as recorded by crossref.
- A new Orbiting Carbon Observatory 2 cloud flagging method and rapid retrieval of marine boundary layer cloud properties M. Richardson et al. 10.5194/amt-13-4947-2020
- A Simple Approximation for the Reflectance of a Thick Cloud in Gaseous Absorption Band and Its Application for the Cloud-Top Height Determination A. Kokhanovsky et al. 10.1109/TGRS.2018.2883358
- A fast cloud geometrical thickness retrieval algorithm for single-layer marine liquid clouds using OCO-2 oxygen A-band measurements J. Yang et al. 10.1016/j.rse.2021.112305
- Addendum to “Generalized radiative transfer theory for scattering by particles in an absorbing gas: Addressing both spatial and spectral integration in multi-angle remote sensing of optically thin aerosol layers” [J. Quant. Spectrosc. Radiat. Transfer 205 (2018) 148–162] A. Davis et al. 10.1016/j.jqsrt.2017.11.018
- A Machine Learning-Based Multiple Cloud Vertical Structure Parameter Prediction Algorithm Only Using OCO-2 Oxygen A-Band Measurements Y. Lei et al. 10.3390/rs15123142
- Cloud vertical structure over a tropical station obtained using long-term high-resolution radiosonde measurements N. Narendra Reddy et al. 10.5194/acp-18-11709-2018
- The operational cloud retrieval algorithms from TROPOMI on board Sentinel-5 Precursor D. Loyola et al. 10.5194/amt-11-409-2018
- Cloud information content in EPIC/DSCOVR’s oxygen A- and B-band channels: An optimal estimation approach A. Davis et al. 10.1016/j.jqsrt.2018.05.007
- Physical Parameterization of Hyperspectral Reflectance in the Oxygen A-Band for Single-Layer Water Clouds J. Yang et al. 10.3390/rs12142252
- Design and Verification of a Double-Grating Spectrometer System (DGSS) for Simultaneous Observation of Aerosols, Water Vapor and Clouds J. Li et al. 10.3390/rs14102492
- Cloud Top Pressure Retrieval Using Polarized and Oxygen A-band Measurements from GF5 and PARASOL Satellites L. Wei et al. 10.1007/s00376-023-2382-5
- Cloud information content in EPIC/DSCOVR’s oxygen A- and B-band channels: A physics-based approach A. Davis et al. 10.1016/j.jqsrt.2018.09.006
- 风云卫星光学成像仪云特性反演算法和产品发展综述（特邀） 刘. Liu Chao et al. 10.3788/AOS240715
- Cloud geometry from oxygen-A-band observations through an aircraft side window T. Zinner et al. 10.5194/amt-12-1167-2019
- Marine liquid cloud geometric thickness retrieved from OCO-2's oxygen A-band spectrometer M. Richardson et al. 10.5194/amt-12-1717-2019
- Radiative transfer in the O2 A-band - a fast and accurate forward model based on the ℓ-distribution approach F. André et al. 10.1016/j.jqsrt.2020.107470
- Information content of OCO-2 oxygen A-band channels for retrieving marine liquid cloud properties M. Richardson & G. Stephens 10.5194/amt-11-1515-2018
- Establishment of an analytical model for remote sensing of typical stratocumulus cloud profiles under various precipitation and entrainment conditions H. Shang et al. 10.5194/acp-23-2729-2023
18 citations as recorded by crossref.
- A new Orbiting Carbon Observatory 2 cloud flagging method and rapid retrieval of marine boundary layer cloud properties M. Richardson et al. 10.5194/amt-13-4947-2020
- A Simple Approximation for the Reflectance of a Thick Cloud in Gaseous Absorption Band and Its Application for the Cloud-Top Height Determination A. Kokhanovsky et al. 10.1109/TGRS.2018.2883358
- A fast cloud geometrical thickness retrieval algorithm for single-layer marine liquid clouds using OCO-2 oxygen A-band measurements J. Yang et al. 10.1016/j.rse.2021.112305
- Addendum to “Generalized radiative transfer theory for scattering by particles in an absorbing gas: Addressing both spatial and spectral integration in multi-angle remote sensing of optically thin aerosol layers” [J. Quant. Spectrosc. Radiat. Transfer 205 (2018) 148–162] A. Davis et al. 10.1016/j.jqsrt.2017.11.018
- A Machine Learning-Based Multiple Cloud Vertical Structure Parameter Prediction Algorithm Only Using OCO-2 Oxygen A-Band Measurements Y. Lei et al. 10.3390/rs15123142
- Cloud vertical structure over a tropical station obtained using long-term high-resolution radiosonde measurements N. Narendra Reddy et al. 10.5194/acp-18-11709-2018
- The operational cloud retrieval algorithms from TROPOMI on board Sentinel-5 Precursor D. Loyola et al. 10.5194/amt-11-409-2018
- Cloud information content in EPIC/DSCOVR’s oxygen A- and B-band channels: An optimal estimation approach A. Davis et al. 10.1016/j.jqsrt.2018.05.007
- Physical Parameterization of Hyperspectral Reflectance in the Oxygen A-Band for Single-Layer Water Clouds J. Yang et al. 10.3390/rs12142252
- Design and Verification of a Double-Grating Spectrometer System (DGSS) for Simultaneous Observation of Aerosols, Water Vapor and Clouds J. Li et al. 10.3390/rs14102492
- Cloud Top Pressure Retrieval Using Polarized and Oxygen A-band Measurements from GF5 and PARASOL Satellites L. Wei et al. 10.1007/s00376-023-2382-5
- Cloud information content in EPIC/DSCOVR’s oxygen A- and B-band channels: A physics-based approach A. Davis et al. 10.1016/j.jqsrt.2018.09.006
- 风云卫星光学成像仪云特性反演算法和产品发展综述（特邀） 刘. Liu Chao et al. 10.3788/AOS240715
- Cloud geometry from oxygen-A-band observations through an aircraft side window T. Zinner et al. 10.5194/amt-12-1167-2019
- Marine liquid cloud geometric thickness retrieved from OCO-2's oxygen A-band spectrometer M. Richardson et al. 10.5194/amt-12-1717-2019
- Radiative transfer in the O2 A-band - a fast and accurate forward model based on the ℓ-distribution approach F. André et al. 10.1016/j.jqsrt.2020.107470
- Information content of OCO-2 oxygen A-band channels for retrieving marine liquid cloud properties M. Richardson & G. Stephens 10.5194/amt-11-1515-2018
- Establishment of an analytical model for remote sensing of typical stratocumulus cloud profiles under various precipitation and entrainment conditions H. Shang et al. 10.5194/acp-23-2729-2023
Saved (preprint)
Latest update: 13 Dec 2024
Short summary
The vertical distribution of cloud cover has a significant impact on a large number of meteorological and climatic processes. Cloud top altitude (CTOP) and cloud geometrical thickness (CGT) are essential for understanding these processes. Previous studies established the possibility of retrieving those parameters from multi-angular oxygen A-band measurements. Here we perform a study and comparison of the performance of future instruments.
The vertical distribution of cloud cover has a significant impact on a large number of...
