海冰飘移的许多有趣的特征取决于大气拖系数(C ) 并且海洋拖系数(C w ) 。Parameterizations 拖系数而非经常的价值提供我们在海冰上看卓见进这些特征的依赖的一个方法调节。在现在的学习, parameterized 冰拖系数被包括进免费飘移的海冰动态模型,并且在海冰之间的风因素和偏转角度漂流并且弯屈速度以及 C 到 C w 被学习在象本地人那样的影响因素上调查他们的依赖拖系数,大浮冰和山脉几何学。结果在理想化的稳定的海洋揭示那, C /C w 在边缘的冰地区为小冰大浮冰与增加的冰集中显然增加,当它为大大浮冰在稳定的水平(0.20.25 ) 留在中央冰地区时。风因素起初很快增加并且当 A 比 20% 大时,接近 0.018 的稳定的水平。并且偏转角度从起始的价值很快落下接近 80 慦桳潩?
Many interesting characteristics of sea ice drift depend on the atmospheric drag coefficient (Ca) and oceanic drag coefficient (Cw). Parameterizations of drag coefficients rather than constant values provide us a way to look insight into the dependence of these characteristics on sea ice conditions. In the present study, the parameterized ice drag coefficients are included into a free-drift sea ice dynamic model, and the wind factor a and the deflection angle θ between sea ice drift and wind velocity as well as the ratio of Ca to Cw are studied to investigate their dependence on the impact factors such as local drag coefficients, floe and ridge geometry. The results reveal that in an idealized steady ocean, Ca/Cw increases obviously with the increasing ice concentration for small ice floes in the marginal ice zone, while it remains at a steady level (0.2-0.25) for large floes in the central ice zone. The wind factor a increases rapidly at first and approaches a steady level of 0.018 when A is greater than 20%. And the deflection angle ~ drops rapidly from an initial value of approximate 80° and decreases slowly as A is greater than 20% without a steady level like a. The values of these parameters agree well with the previously reported observations in Arctic. The ridging intensity is an important parameter to determine the dominant contribution of the ratio of skin friction drag coefficient (Cs'/Cs) and the ratio of ridge form drag coefficient (Cr'/Cr) to the value of Ca/Cw, a, and 8, because of the dominance of ridge form drag for large ridging intensity and skin friction for small ridging intensity among the total drag forces. Parameterization of sea ice drag coefficients has the potential to be embedded into ice dynamic models to better account for the variability of sea ice in the transient Arctic Ocean.