Comparison on dynamic simulation methods of vegetation surface albedo: a case study in maize field

Using radiation data from Jinzhou agricultural ecosystem research station during corn growing season in 2007, simulation precisions of vegetation surface albedo (α) from different dynamic simulation models were compared, including models of a comprehensive (CM), a semi-empirical double layer (SEDLM) and a simplified double layer (SDLM). The results show that the SDLM achieves higher simulation precision in most time of growing season, except during the seedling period. However, simulation errors of the SEDLM are only acceptable when leaf area index reaches the maximum, and α simulated by the SEDLM is useless in most growth periods. By contrast, the CM exhibites stronger simulation ability in most growth periods, except during the late growth. Therefore, the CM is the desirable method to perform dynamic parameterization of α in maize field, which could provide references for improving land surface model.