Articles | Volume 9, issue 10
Atmos. Meas. Tech., 9, 4977–4995, 2016
https://doi.org/10.5194/amt-9-4977-2016
Atmos. Meas. Tech., 9, 4977–4995, 2016
https://doi.org/10.5194/amt-9-4977-2016

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 et al.

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Cited articles

Asano, S., Shiobara, M., and Uchiyama, A.: Estimation of cloud physical parameters from airborne solar spectral reflectance measurements for stratocumulus clouds, J. Atmos. Sci., 52, 3556–3576, 1995.
Bréon, F.-M. and Doutriaux-Boucher, M.: A comparison of cloud droplet radii measured from space, IEEE T. Geosci. Remote, 43, 1796–1805, https://doi.org/10.1109/TGRS.2005.852838, 2005.
Cooper, S. J., L'Ecuyer, T. S., Gabriel, P., Baran, A. J., and Stephens, G. L.: Objective assessment of the information content of visible and infrared radiance measurements for cloud microphysical property retrievals over the global oceans. Part II: Ice clouds, J. Appl. Meteorol. Clim., 45, 42–62, https://doi.org/10.1175/JAM2327.1, 2006.
Davis, A., Polonsky, I., and Marshak, A.: Space-time Green functions for diffusive radiation transport, in: application to active and passive cloud probing, in: Light Scattering Reviews, edited by: Kokhanovsky, A., vol. 4, 169–292, Springer-Praxis, Heidelberg, Germany, 2009.
Davis, A. B. and Marshak, A.: Solar radiation transport in the cloudy atmosphere: a 3D perspective on observations and climate impacts, Rep. Prog. Phys., 73, 26801, https://doi.org/10.1088/0034-4885/73/2/026801, 2010.
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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.