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Proceedings Paper

Physical retrieval of cloud-top properties using optimal spectral sampling
Author(s): E. J. Kennelly; D. B. Hogan; T. S. Zaccheo
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Paper Abstract

For daytime water phase clouds, an iterative physical retrieval algorithm is proposed to determine the cloud top pressure, temperature, and height that best matches the window-IR channel radiance to that predicted from the atmospheric/surface state as specified by numerical weather prediction model inputs and other data. The iterative retrieval uses a fast radiative transfer (or forward) model and includes a parameterization of cloud multiple scattering. The optical thickness and effective particle size are used as explicit inputs and so it can account for both optically thin and thick clouds.

Paper Details

Date Published: 29 August 2005
PDF: 8 pages
Proc. SPIE 5890, Atmospheric and Environmental Remote Sensing Data Processing and Utilization: Numerical Atmospheric Prediction and Environmental Monitoring, 589019 (29 August 2005); doi: 10.1117/12.618794
Show Author Affiliations
E. J. Kennelly, A.E.R., Inc (United States)
D. B. Hogan, A.E.R., Inc (United States)
T. S. Zaccheo, A.E.R., Inc (United States)


Published in SPIE Proceedings Vol. 5890:
Atmospheric and Environmental Remote Sensing Data Processing and Utilization: Numerical Atmospheric Prediction and Environmental Monitoring
Hung-Lung Allen Huang; Hal J. Bloom; Xiaofeng Xu; Gerald J. Dittberner, Editor(s)

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