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Implementation of a one-dimensional enthalpy sea-ice model in a simple pycnocline prediction model for sea-ice data assimilation studies |
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| Authors: | Xinrong Wu Shaoqing Zhang Zhengyu Liu |
| Institution: | 1. Key Laboratory of Marine Environmental Information Technology, State Oceanic Administration, National Marine Data and Information Service, Tianjin, 300171, China 2. Geophysical Fluid Dynamics Laboratory, National Oceanic and Atmospheric Administration, Princeton University, Princeton, NJ, 08542, USA 3. Center for Climate Research and Dept. Atmospheric and Oceanic Sciences, University of Wisconsin-Madison, Madison, WS, 53706, USA 4. Laboratory of Ocean–Atmosphere Studies, Peking University, Beijing, 100871, China |
| Abstract: | To further explore enthalpy-based sea-ice assimilation, a one-dimensional(1D) enthalpy sea-ice model is implemented into a simple pycnocline prediction model. The 1D enthalpy sea-ice model includes the physical processes such as brine expulsion, flushing, and salt diffusion. After being coupled with the atmosphere and ocean components, the enthalpy sea-ice model can be integrated stably and serves as an important modulator of model variability. Results from a twin experiment show that the sea-ice data assimilation in the enthalpy space can produce smaller root-mean-square errors of model variables than the traditional scheme that assimilates the observations of ice concentration, especially for slow-varying states. This study provides some insights into the improvement of sea-ice data assimilation in a coupled general circulation model. |
| Keywords: | sea ice enthalpy coupled model data assimilation ensemble Kalman filter |
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