Physical retrieval of cloud-top properties using optimal spectral sampling

Author: David Hogan, T. Scott Zaccheo and Edward (Ted) J. Kennelly
Date: 
August 1, 2005
Type: 
Presentation
Venue: 
SPIE Optics and Photonics 2005 - Atmospheric and Environmental Remote Sensing Data Processing and Utilization
Citation: 

Kennelly, E.J., Hogan, D., and Zaccheo, S. 2005, “Physical retrieval of cloud-top properties using optimal spectral sampling”, SPIE Optics and Photonics 2005 - Atmospheric and Environmental Remote Sensing Data Processing and Utilization, 5890-51.

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.