Accurate description of sea ice velocity is necessary for improving the reproduction and prediction of high-latitude climate in modeling studies. In order to improve the simulated sea ice velocity field based on satellite-derived daily data, a set of sea ice dynamic parameters of the ocean–sea ice model was optimized with a Green’s function method, which uses linear combination of forward sensitivity operators for these parameters. An improved sea ice velocity field with 15–20% error reduction was obtained for both simulations with and without the data constraint of sea ice concentration. Moreover, dependencies of the sea ice dynamic parameters on background conditions were examined and linear dependency coefficients were also optimized by extending the above method. The sea ice velocity field was further improved for both free-drift and high-pressure regions with mean error reduction of about 25%. This resulted in decreases of surface salinities in the marginal ice zones, making them closer to observations. While the parameter adjustments as constants tended mainly to compensate influences of biases in surface forcing, the obtained dependencies were generally consistent with previous observational and theoretical studies and thus improved parameterizations of air–ice–ocean momentum exchange and ice pressure which are widely used in OGCMs. The enhanced ocean–sea ice initialization and parameterizations would be useful for operational seasonal prediction and climate prediction studies.

准确描述海冰速度对于提高建模研究中高纬度气候的再现和预测是必要的。为了改进基于卫星数据的模拟海冰速度场，采用格林函数法对海-海冰模型的一组海冰动力学参数进行优化，该方法使用前向灵敏度算子的线性组合对这些参数进行了优化。参数。对于有和没有海冰浓度数据约束的模拟，都获得了改进的海冰速度场，误差减少了 15-20%。此外，研究了海冰动态参数对背景条件的依赖性，并通过扩展上述方法优化了线性相关系数。自由漂移区和高压区的海冰速度场都得到了进一步改善，平均误差降低了约 25%。这导致边缘冰区的表面盐度降低，使它们更接近观测值。虽然将参数调整为常数主要是为了补偿表面强迫偏差的影响，但获得的相关性与先前的观测和理论研究基本一致，从而改进了广泛用于 OGCM 的空气-冰-海洋动量交换和冰压的参数化. 增强的海冰初始化和参数化将有助于业务季节预测和气候预测研究。使他们更接近观察。虽然将参数调整为常数主要是为了补偿表面强迫偏差的影响，但获得的相关性与先前的观测和理论研究基本一致，从而改进了广泛用于 OGCM 的空气-冰-海洋动量交换和冰压的参数化. 增强的海冰初始化和参数化将有助于业务季节预测和气候预测研究。使他们更接近观察。虽然将参数调整为常数主要是为了补偿表面强迫偏差的影响，但获得的相关性与先前的观测和理论研究基本一致，从而改进了广泛用于 OGCM 的空气-冰-海洋动量交换和冰压的参数化. 增强的海冰初始化和参数化将有助于业务季节预测和气候预测研究。获得的相关性与之前的观测和理论研究基本一致，从而改进了广泛用于 OGCM 的空气-冰-海洋动量交换和冰压力的参数化。增强的海冰初始化和参数化将有助于业务季节预测和气候预测研究。获得的相关性与之前的观测和理论研究基本一致，从而改进了广泛用于 OGCM 的空气-冰-海洋动量交换和冰压力的参数化。增强的海冰初始化和参数化将有助于业务季节预测和气候预测研究。