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- W2171969546 abstract "Recently, substantial efforts have been made to determine the impact of three-dimensional (3D) cloud structure on atmospheric radiative transfer. Unfortunately, 3D high-resolution measurements of cloud field structure are not available for use in these studies. As a result, research in this area has frequently been based on simple stochastic cloud models (e.g., bounded cascades) or extrapolations of twodimensional (2D) data into three dimensions, both of which assume cloud field isotropy in the horizontal plane. However, the significance of this assumption has not been tested. In this study, a stochastic field generation algorithm (Evans et al. 2001) is used to produce synthetic fair-weather cumulus cloud fields. While the statistics of the output liquid water content (LWC) fields are constrained to match those of sample input fields taken from large-eddy simulations (LES), the vertical and horizontal anisotropy of these fields can be controlled independently. Solar radiative transfer is calculated for a set of fields having a range of anisotropy levels using Monte Carlo methods. The effect of these levels of anisotropy in cloud fields is evaluated by comparing the resulting surface fluxes." @default.
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- W2171969546 date "2002-01-01" @default.
- W2171969546 modified "2023-09-27" @default.
- W2171969546 title "The Effect of Fair-Weather Cumulus Cloud Field Anisotropy on Radiative Surface Fluxes" @default.
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