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These keywords were added by machine and not by the authors. An improved correction algorithm is proposed and the remaining problems, along with suggested approaches for solving them, are described. Finally, the question of atmospheric correction of future, more sensitive, ocean color sensors, such as SeaWiFS, is considered. Processes ignored in the original algorithm but included in later versions, e.g., multiple scattering, polarization, and variations in the O 3 concentration and the surface atmospheric pressure, are briefly examined. A critical evaluation of the model is then carried out and efforts to circumvent the difficulties specific to the CZCS band set are presented.

The development of the CZCS algorithm has been described in detail starting from the single scattering solution of radiative transfer theory. The scattering properties of the aerosol have been described with examples taken from Mie scattering theory applied to aerosol models. The absorption properties of the optically important gases (H 2O, O 2, and O 3) in the atmosphere have been presented in the form of spectral transmittance curves. In this paper I have tried to provide a more or less self-contained discussion on the optical properties of the atmosphere and radiative transfer theory to provide the reader with an understanding of atmospheric correction of satellite ocean color remote sensing data.

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