P-25

Data assimilation experiments with simulated LAI observations and the dynamic global vegetation model SEIB-DGVM

H. Arakida (RIKEN), T. Miyoshi (RIKEN), T. Ise (Kyoto Univ.), S. Shima (Univ. Hyogo)

Water birds such as shorebirds and waterfowl breed in the Arctic tundra. Therefore, the vegetation shift from tundra to taiga due to climate change must be one of the most important habitat changes for water birds. To simulate the Arctic vegetation shift and to evaluate its impact on water bird breeding, we are developing an ensemble data assimilation system with a dynamical global vegetation model known as the SEIB-DGVM (Spatially -Explicit-Individual-Base Dynamic-Global-Vegetation-Model). As the first step, data assimilation experiments were performed with the SEIB-DGVM using simulated LAI observations. The results suggest that the LAI is a key to designing an appropriate data assimilation system for the SEIB-DGVM.