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Volume 16, issue 12
Atmos. Chem. Phys., 16, 7545–7558, 2016
https://doi.org/10.5194/acp-16-7545-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Atmos. Chem. Phys., 16, 7545–7558, 2016
https://doi.org/10.5194/acp-16-7545-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 21 Jun 2016

Research article | 21 Jun 2016

Degree of ice particle surface roughness inferred from polarimetric observations

Souichiro Hioki et al.

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Baran, A. J. and C.-Labonnote, L.: A self-consistent scattering model for cirrus. I: The solar region, Q. J. Roy. Meteor. Soc., 133, 1899–1912, 2007.
Baran, A. J. and Francis, P. N.: On the radiative properties of cirrus cloud at solar and thermal wavelengths: A test of model consistency using high-resolution airborne radiance measurements, Q. J. Roy. Meteor. Soc., 130, 763–778, https://doi.org/10.1256/qj.03.151, 2004.
Baran, A. J. and C.-Labonnote, L.: On the reflection and polarisation properties of ice cloud, J. Quant. Spectrosc. Ra., 100, 41–54, 2006.
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The degree of surface roughness of ice particles within thick, cold ice clouds is inferred from multi-directional, multi-spectral satellite polarimetric observations over oceans, assuming a column-aggregate particle habit. An improved roughness inference scheme is employed, which provides a more noise-resilient roughness estimate than the conventional approach. A global one-month data sample shows the use and the limit of a severely roughened ice habit to simulate the polarized reflectivity.
The degree of surface roughness of ice particles within thick, cold ice clouds is inferred from...
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