Physical retrieval of cloud-top properties using optimal spectral sampling

E. J. Kennelly; D. B. Hogan; T. S. Zaccheo

doi:10.1117/12.618794

29 August 2005 Physical retrieval of cloud-top properties using optimal spectral sampling

E. J. Kennelly, D. B. Hogan, T. S. Zaccheo

Proceedings Volume 5890, Atmospheric and Environmental Remote Sensing Data Processing and Utilization: Numerical Atmospheric Prediction and Environmental Monitoring; 589019 (2005) https://doi.org/10.1117/12.618794
Event: Optics and Photonics 2005, 2005, San Diego, California, United States

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.

Citation Download Citation

E. J. Kennelly, D. B. Hogan, and T. S. Zaccheo "Physical retrieval of cloud-top properties using optimal spectral sampling", Proc. SPIE 5890, Atmospheric and Environmental Remote Sensing Data Processing and Utilization: Numerical Atmospheric Prediction and Environmental Monitoring, 589019 (29 August 2005); https://doi.org/10.1117/12.618794

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