Prospects for improving estimates of atmospheric radiative fluxes with the availability of the higher temporal, spatial and spectral resolution observations from GOES-R ABI, have improved. Satellites observe radiances in certain spectral intervals and specified directions. There are two critical elements in the formulation of an inference scheme for radiative flux estimates from satellite observations: 1) transformation from narrow-band observations into broadband values; b) application of Angular Distribution Models (ADMs) to correct for angular dependence. The focus of this study is to prepare up-to-date ADMs for use with ABI's shortwave observations for clear and cloudy conditions. The information for the synthesis is based on theoretical simulations with a radiative transfer model and on the Clouds and the Earth's Radiant Energy System (CERES) models. The clear sky simulations are performed with the MODTRAN model using the newly developed IGBP land use classifications; for cloudy sky conditions, cloud types (water and ice) are selected in coordination with cloud types used for the CERES ADMs. To evaluate possible improvements due to the new ADMs, they were tested with proxy data. Specifically, the University of Maryland Surface Radiation Budget Model (UMD/SRB) as implemented with the GOES series of satellites was utilized. The existing ADMs in the UMD/SRB model are based on ERBE; they were replaced with the newly synthesized ADMs. The derived surface radiative fluxes with this update have shown improvements when compared to ground observations. In progress is work related to the development of new narrow to broadband transformations as appropriate to ABI. Use will be made of SEVIRI observations as a proxy for ABI.