Articles | Volume 16, issue 12
https://doi.org/10.5194/acp-16-7545-2016
https://doi.org/10.5194/acp-16-7545-2016
Research article
 | 
21 Jun 2016
Research article |  | 21 Jun 2016

Degree of ice particle surface roughness inferred from polarimetric observations

Souichiro Hioki, Ping Yang, Bryan A. Baum, Steven Platnick, Kerry G. Meyer, Michael D. King, and Jerome Riedi

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Short summary
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.
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