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Cloud information content analysis of multi-angular measurements in the oxygen...

Merlin, G., J. C. Riedi, L. Labonnote, C. Cornet, A. B. Davis, P. Dubuisson, M. Desmons, N. Ferlay, and F. Parol (2016), Cloud information content analysis of multi-angular measurements in the oxygen A-band: Application to 3MI and MSPI, Atmos. Meas. Tech., 9, 4977-4995, doi:10.5194/amt-9-4977-2016.
Abstract: 

Information content analyses on cloud top altitude (CTOP) and geometrical thickness (CGT) from multi-angular A-band measurements in the case of monolayer homogeneous clouds are conducted. In the framework of future multi-angular radiometer development, we compared the potential performances of the 3MI (Multiviewing, Multi-channel and Multi-polarization Imaging) instrument developed by EUMETSAT, which is an extension of POLDER/PARASOL instrument and MSPI (Multiangle SpectroPolarimetric Imager) developed by NASA’s Jet Propulsion Laboratory. Quantitative information content estimates were realized for thin, moderately opaque and opaque clouds for different surface albedo and viewing geometry configurations. Analyses show that retrieval of CTOP is possible with a high accuracy in most of the cases investigated. Retrieval of CGT is also possible for optically thick clouds above a black surface, at least when CGT > 1–2 km and for thin clouds for CGT > 2–3 km. However, for intermediate optical thicknesses (COT ~ 4), we show that the retrieval of CGT is not simultaneously possible with CTOP. A comparison between 3MI and MSPI shows a higher information content for MSPI’s measurements, traceable to a thinner filter inside the oxygen A-band, yielding higher signal-tonoise ratio for absorption estimation. Cases of cloud scenes above bright surfaces are more complex but it is shown that the retrieval of CTOP remains possible in almost all situations while the information content on CGT appears to be insufficient in many cases, particularly for COT < 4 and CGT < 2–3 km.

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Research Program: 
Radiation Science Program (RSP)
Funding Sources: 
ROSES/RST