Japan Geoscience Union Meeting 2015

Presentation information


Symbol A (Atmospheric and Hydrospheric Sciences) » A-CG Complex & General

[A-CG31] Science in the Arctic Region

Tue. May 26, 2015 11:00 AM - 11:45 AM 201B (2F)

Convener:*Nozomu Takeuchi(Chiba University), Tetsuya Hiyama(Hydrospheric Atmospheric Research Center, Nagoya University), Toru Hirawake(Faculty of Fisheries Sciences, Hokkaido University), Hiroshi Tanaka(Center for Computational Sciences, University of Tsukuba), Satonori Nozawa(Solar-Terrestrial Environment Laboratory), Chair:Hiroshi Tanaka(Center for Computational Sciences, University of Tsukuba)

11:00 AM - 11:15 AM

[ACG31-18] Data assimilation experiments with simulated LAI observations and the dynamic global vegetation model SEIB-DGVM

Hazuki ARAKIDA1, Takemasa MIYOSHI1, *Takeshi ISE2, Shin-ichiro SHIMA3 (1.Advenced Institute for Computational Science (AICS), RIKEN, 2.Field Science Education and Research Center, Kyoto University, 3.Graduate School of Simulation Studies, University of Hyogo)

Keywords:data assimilation, terrestrial ecosystem, simulation

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.