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模拟受北极波浪影响的边缘冰区:与 ICESat-2 观测的比较。

Modelling the Arctic wave-affected marginal ice zone: a comparison with ICESat-2 observations.

机构信息

Nansen Environmental and Remote Sensing Center, N-5007 Bergen, Norway.

Institute at Brown for Environment and Society, Brown University, Providence, RI 02912, USA.

出版信息

Philos Trans A Math Phys Eng Sci. 2022 Oct 31;380(2235):20210262. doi: 10.1098/rsta.2021.0262. Epub 2022 Sep 12.

Abstract

We evaluate marginal ice zone (MIZ) extent in a wave-ice 25 km-resolution coupled model, compared with pan-Arctic wave-affected sea-ice regions derived from ICESat-2 altimetry over the period December 2018-May 2020. By using a definition of the MIZ based on the monthly maximum of the wave height, we suggest metrics to evaluate the model taking into account the sparse coverage of ICESat-2. The model produces MIZ extents comparable to observations, especially in winter. A sensitivity study highlights the need for strong wave attenuation in thick, compact ice but weaker attenuation as sea ice forms, as the model underestimates the MIZ extent in autumn. This underestimation may be due to limited wave growth in partially covered ice, overestimated sea-ice concentration or the absence of other processes affecting floe size. We discuss our results in the context of other definitions of the MIZ based on floe size and sea-ice concentration, as well as the potential impact of wave-induced fragmentation on ice dynamics, found to be minor at the climate scales investigated here. This article is part of the theme issue 'Theory, modelling and observations of marginal ice zone dynamics: multidisciplinary perspectives and outlooks'.

摘要

我们评估了波浪-冰耦合模型中的边缘冰区 (MIZ) 范围,将其与 2018 年 12 月至 2020 年 5 月期间来自 ICESat-2 测高的泛北极受波影响的海冰区域进行了比较。通过使用基于波高月最大值的 MIZ 定义,我们提出了考虑到 ICESat-2 稀疏覆盖的评估模型的指标。该模型产生的 MIZ 范围与观测结果相当,尤其是在冬季。敏感性研究强调了在厚而密集的冰中需要强烈的波衰减,但随着海冰的形成需要较弱的衰减,因为该模型低估了秋季的 MIZ 范围。这种低估可能是由于部分覆盖的冰中波的增长有限、高估的海冰浓度或其他影响浮冰块大小的过程缺失所致。我们根据基于浮冰块大小和海冰浓度的 MIZ 的其他定义以及对冰动力学的波诱导破碎的潜在影响,在本文中讨论了我们的结果,在本研究中调查的气候尺度上,这种影响较小。本文是主题为“边缘冰区动力学的理论、建模和观测:多学科视角和展望”的一部分。

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