Development of airborne remote sensing data assimilation system

In this paper, an airborne remote sensing data assimilationsystem for China Airborne Remote SensingSystem is introduced. This data assimilationsystem is composed of a land surface model, data assimilationalgorithms, observation data and fundamental parameters forcing the land surface model. In this data assimilationsystem, Variable Infiltration Capacity hydrologic modelis selected as the land surface model, which also serves as the main framework of the system. Three-dimensional variation algorithm, four-dimensional variation algorithms, ensemble Kalman filterand Particle filter algorithms are integrated in this system. Observation data includes ground observations and remotely senseddata. The fundamental forcing parameters include soil parameters, vegetation parameters and the meteorological data.