[A-CG57] Science in the Arctic Region

[ACG57-16] Optimization of dynamic parameters of sea ice models basedn on satellite-derived sea ice velocity data

*Takahiro Toyoda¹, Noriaki Kimura², Shogo Urakawa¹, Hiroyuki Tsujino¹, Hideyuki Nakano¹, Kei Sakamoto¹, Goro Yamanaka¹ (1.Meteorological Research Institute, Japan Meteorological Agency, 2.Atmosphere and Ocean Research Institute, The University of Tokyo)

Keywords:Arctic Ocean, Sea ice velocity, Data assimilation

Sea ice velocity field derived from satellite microwave observations with high accuracy and daily intervals has recently been released (Kimura et al., 2013). We have conducted an optimization experiment of the sea ice dynamical parameters in a coupled sea ice-ocean model to the observational sea ice velocity data. The target parameters were air-ice and ice-ocean drag coefficients, turning angle of the wind stress from the wind direction, pressure parameters of the rheology. Green’s functions of these parameters were estimated from the deviations of perturbed experiments from baseline experiment and were utilized for estimating the set of optimal parameter values. In addition, we extended this method to include dependency of the parameters on model state variables. Discussion on this dependency and the results of the experiment with the optimized parameters will be presented.