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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...
Traditional three-dimensional variational (3DVAR) schemes are inefficient in capturing the multi-scale information resolved by observations. This study first indicates that the root cause lies in the spatial incoherence of the gradient of cost function caused by the irregular distribution of observations. Then an improved 3DVAR scheme based on diffusion filter is proposed to solve this problem. By...
A three-dimensional variational (3D-Var) data assimilation (DA) scheme which introduces sequential filter is designed to improve state estimation from observations. The sequential filter employed in this new hybrid scheme, operating on the background field instead of on the observation field as usual, is under the framework of ensemble adjustment Kalman filter (EAKF). Under perfect global barotropic...
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