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.

© 2019 The Author(s)

PDF Article


You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
Login to access OSA Member Subscription