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首页> 外文期刊>Elementa: science of the anthropocene >Modeling the seasonal evolution of the Arctic sea ice floe size distribution
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Modeling the seasonal evolution of the Arctic sea ice floe size distribution

机译:模拟北极海浮冰粒度分布的季节演变

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To better simulate the seasonal evolution of sea ice in the Arctic, with particular attention to the marginal ice zone, a sea ice model of the distribution of ice thickness, floe size, and enthalpy was implemented into the Pan-arctic IceOcean Modeling and Assimilation System (PIOMAS). Theories on floe size distribution (FSD) and ice thickness distribution (ITD) were coupled in order to explicitly simulate multicategory FSD and ITD distributions simultaneously. The expanded PIOMAS was then used to estimate the seasonal evolution of the Arctic FSD in 2014 when FSD observations are available for model calibration and validation. Results indicate that the simulated FSD, commonly described equivalently as cumulative floe number distribution (CFND), generally follows a power law across space and time and agrees with the CFND observations derived from TerraSAR-X satellite images. The simulated power-law exponents also correlate with those derived using MODIS images, with a low mean bias of 2%. In the marginal ice zone, the modeled CFND shows a large number of small floes in winter because of stronger winds acting on thin, weak first-year ice in the ice edge region. In mid-spring and summer, the CFND resembles an upper truncated power law, with the largest floes mostly broken into smaller ones; however, the number of small floes is lower than in winter because floes of small sizes or first-year ice are easily melted away. In the ice pack interior there are fewer floes in late fall and winter than in summer because many of the floes are welded together into larger floes in freezing conditions, leading to a relatively flat CFND with low power-law exponents. The simulated mean floe size averaged over all ice-covered areas shows a clear annual cycle, large in winter and smaller in summer. However, there is no obvious annual cycle of mean floe size averaged over the marginal ice zone. The incorporation of FSD into PIOMAS results in reduced ice thickness, mainly in the marginal ice zone, which improves the simulation of ice extent and yields an earlier ice retreat.
机译:为了更好地模拟北极海冰的季节性演变,尤其要注意边缘冰带,将冰厚度,浮冰大小和焓的分布的海冰模型应用于泛北极冰海建模和同化系统中(PIOMAS)。为了明确同时模拟多类FSD和ITD分布,将絮凝物大小分布(FSD)和冰厚度分布(ITD)的理论进行了耦合。然后,当FSD观测值可用于模型校准和验证时,使用扩展的PIOMAS估计2014年北极FSD的季节演变。结果表明,模拟的FSD通常等效地称为累积絮凝物数分布(CFND),通常遵循跨时空的幂律,并且与从TerraSAR-X卫星图像得出的CFND观测值一致。模拟的幂律指数也与使用MODIS图像得出的幂律指数相关,平均偏差低至2%。在边缘冰区,由于强风作用在冰边缘地区的薄而弱的第一年冰上,因此模拟的CFND在冬季显示了大量的小絮状物。在春季和夏季中,CFND类似于上截断的幂律,最大的絮凝物大部分分解成较小的絮凝物。但是,小絮凝物的数量比冬季少,因为小尺寸的絮凝物或第一年的冰很容易融化。在冰袋内部,与夏季相比,秋末和冬末的絮凝物较少,因为许多絮凝物在冻结条件下被焊接成较大的絮凝物,从而导致CFND相对平坦,幂律指数较低。在所有被冰覆盖的地区平均模拟的平均絮凝物大小显示出清晰的年周期,冬季较大,夏季较小。但是,在边缘冰区没有平均的平均浮冰大小的明显年度周期。将FSD合并到PIOMAS中会导致冰厚度减小,主要是在边缘冰带中,这会改善冰范围的模拟并提前退冰。

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