抄録
To improve the skill of reproducing land-atmosphere interactions in the weather forecasting system, simultaneous modeling of surface soil moisture (SSM) and leaf area index (LAI) is strongly needed. We develop a hydrological-dynamic vegetation coupling model and its optimization scheme assimilating microwave signal. The model parameters including land surface, vegetation and radiative transfer processes are estimated by using microwave satellite data and the optimization scheme. From the model application at an in-situ observation site in West Africa, we clarify that our system has a good performance to calibrate both hydrological and dynamic vegetation model without ground observed data.
