JpGU-AGU Joint Meeting 2020

Presentation information

[J] Oral

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

[A-CG57] Science in the Arctic Region

convener:Masashi Niwano(Meteorological Research Institute), Shunsuke Tei(Arctic Research Center, Hokkaido University), Tetsu Nakamura(Faculty of Environmental Earth Science, Hokkaido University), Jun Ono(Atmosphere and Ocean Research Institude, The University of Tokyo)

[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.