Comparison of albedos computed by land surface models and evaluation against remotely sensed data

The albedos of two land surface models, the Biosphere-Atmosphere Transfer S cheme (BATS) and the NCAR Land Surface Model (LSM), are compared with remot ely sensed data and each other. The model albedos differ primarily because of their assumptions about and model differences in soil moisture content, soil color, snow albedo, shading of snow by canopy, and prescribed paramete rs for each land cover type. Global albedo maps for February and July 1995, developed from the advanced very high resolution radiometer (AVHRR) data, are used to evaluate model albedos. The models display a high bias as compa red to the remotely sensed values in desert and semidesert regions. Over No rth Africa, LSM, whose albedos were previously tuned to data from the Earth Radiation Budget Experiment (ERBE), has the highest albedos. Elsewhere, an d overall, BATS has the highest bias for desert and semidesert regions. Bot h models demonstrate a high bias over regions of winter snow, where the AVH RR data are expected to have a negative bias. LSM has especially high winte r albedos, apparently because of intercepted snow increasing its canopy alb edo.