Cloud information content analysis of multi-angular measurements in the oxygen A-band: application to 3MI and MSPI

Merlin, Guillaume; Riedi, Jérôme; Labonnote, Laurent C.; Cornet, Céline; Davis, Anthony B.; Dubuisson, Phillipe; Desmons, Marine; Ferlay, Nicolas; Parol, Frédéric

doi:https://doi.org/10.5194/amt-9-4977-2016

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.

https://doi.org/10.5194/amt-9-4977-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 9, issue 10

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, Jérôme Riedi, Laurent C. Labonnote, Céline Cornet, Anthony B. Davis, Phillipe Dubuisson, Marine Desmons, Nicolas Ferlay, and Frédéric Parol

Data sets

Atmospheric Radiative Transfer Database for Earth Climate Observation (ARTDECO) tool ICARE Data and Services Center http://www.icare.univ-lille1.fr/projects/artdeco

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.