[A-CG31] 北極域の科学

[ACG31-18] 動的植生モデルSEIB-DGVMを用いた葉面積指数に基づくデータ同化実験

荒木田 葉月¹、三好 建正¹、*伊勢 武史²、島 伸一郎³ (1.理化学研究所計算科学研究機構、2.京都大学フィールド科学教育研究センター、3.兵庫県立大学大学院シミュレーション学研究科)

キーワード：データ同化, 陸域生態系, シミュレーション

Vegetation dynamics is strongly tied to the global carbon cycle and is an important part of the Earth System Model (ESM) to simulate the climate change. The dynamical vegetation model is also useful to predict the biodiversity change. However, vegetation models tend to have large uncertainties. Data assimilation provides an approach to dealing with the uncertainties, and recently started to be applied to the ecological studies. In this study, we develop 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 are performed with the SEIB-DGVM using simulated LAI observations. The results suggest that the LAI and parameters related to the phenology be a key to designing an appropriate data assimilation system for the SEIB-DGVM.