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.
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