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Proceedings Paper

Remote sensing of cirrus cloud particle size and optical depth using polarimetric sensor measurements
Author(s): Szu Cheng Ou; K. N. Liou; Yoshihide Takano; Richard L. Slonaker
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Paper Abstract

This paper presents a conceptual approach toward the remote sensing of cirrus cloud particle size and optical depth using the degree of polarization and polarized reflectance associated with the first three Stokes parameters I, Q, and U for the 0.865 and 2.25 μm wavelengths. A vector line-by-line equivalent radiative transfer program including the full Stokes parameters based on the adding method was developed. The retrieval algorithm employs the steepest descent method in the form of a series of numerical iteration procedures to search for the simulated polarization parameters that best match the measured polarization parameters. Sensitivity studies were performed to investigate the behavior of phase matrix elements as functions of scattering angles for three ice crystal size-shape combinations. Overall, each phase matrix element shows some sensitivity toward ice crystal shape, size, and suface roughness due to the various optical effects. Synthetic retrievals reveal that the retrieval algorithm itself is highly accurate, while polarimetric and radiometric error sources cause very small retrieval errors. Finally, an illustrative example of applying the retrieval algorithm to airborne POLDER data during EUCREX is presented.

Paper Details

Date Published: 14 October 2004
PDF: 12 pages
Proc. SPIE 5548, Atmospheric and Environmental Remote Sensing Data Processing and Utilization: an End-to-End System Perspective, (14 October 2004); doi: 10.1117/12.560890
Show Author Affiliations
Szu Cheng Ou, Univ. of California/Los Angeles (United States)
K. N. Liou, Univ. of California/Los Angeles (United States)
Yoshihide Takano, Univ. of California/Los Angeles (United States)
Richard L. Slonaker, Raytheon ITSS (United States)


Published in SPIE Proceedings Vol. 5548:
Atmospheric and Environmental Remote Sensing Data Processing and Utilization: an End-to-End System Perspective
Hung-Lung Allen Huang; Hal J. Bloom, Editor(s)

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