A regression-based gas absorption parameterization method is developed. The present method considers an inhomogeneous atmosphere as a whole to perform regression calculations. This method can be applied in fast hyperspectral shortwave radiative transfer computations because of its computational efficiency and accuracy. We incorporate this regression method into a fast small-angle approximation radiative transfer model that fully considers the polarization state of radiative transfer.
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