Articles | Volume 16, issue 12
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


Total article views: 2,438 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,486 850 102 2,438 74 74
  • HTML: 1,486
  • PDF: 850
  • XML: 102
  • Total: 2,438
  • BibTeX: 74
  • EndNote: 74
Views and downloads (calculated since 07 Dec 2015)
Cumulative views and downloads (calculated since 07 Dec 2015)


Latest update: 15 Apr 2024
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.
Final-revised paper