Prototyping GOES-R albedo algorithm based on modis data

Abstract

Surface albedo is one of the key radiation parameters required for modeling of the Earth's energy budget. The future Geostationary Operational Environmental Satellite-R Series (GOES-R) Advanced Baseline Imager (ABI) will provide the observations in several shortwave spectral bands together with both high spatial and temporal resolutions which will carry much angular information for estimating instantaneous surface albedo and bi-directional reflectance. According to these advanced sensor characteristics, we propose an improved algorithm that retrieves surface albedo and aerosol optical depth (AOD) simultaneously. To prototype this algorithm, satellite observations with the similar spectral bands and spatial resolution acquired by MODIS are used. Results show a good agreement between retrieved albedo values and ground measurements from SURFRAD. © 2011 IEEE.