MOSAiC: Floe-scale observation and quantification of Arctic sea ice breakup and floe size during the autumn-to-summer transition (MOSAiCFSD)

MOSAiC：秋夏季过渡期间北极海冰破裂和浮冰尺寸的浮冰规模观测和量化（MOSAiCFSD）

• 批准号: NE/S002545/1
• 负责人: Byongjun Hwang
• 金额: $ 38.64万
• 依托单位: University of Huddersfield
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2018
• 资助国家: 英国
• 起止时间: 2018 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=NE%2FS002545%2F1
• 关键词: MOSAiC; Floe; scale; observation; quantification

This project investigates multi-scale sea ice processes in the so-called marginal ice zone (MIZ), a region in the Arctic Ocean typically consisting of small, discrete ice floes in summer. This MIZ is very dynamic, easily affected by waves and wind, which enhances the heat and momentum exchanges between ocean and atmosphere. This dynamic MIZ has been grown during past decades, and is projected to grow to an even greater extent (almost all sea ice cover becoming the MIZ by 2080). The very inherent process within this expanding MIZ is sea ice freeze-up, deformation, spring breakup and summer melt. In autumn, open water and ice floes survived the summer melt consolidate to form a continuous sheet of winter ice that contains a mixture of multiyear ice (from last summer), first-year (grown from autumn) and newly formed ice (grown later season). This winter ice is then deformed and fractured to form leads/cracks or ridges. In spring, this winter ice breaks apart into small discrete floes, which will be further broken apart or melt in summer. We hypothesize that this seasonal evolution of ice floes is linked and should be understood to improve sea ice-ocean/climate model prediction. In this project, we aim to generate new observational data and understanding of this seasonal evolution of ice floes, at the year-long MOSAiC drifting station. For this, we will conduct small-scale (below 2 km) observation of sea ice freeze-up, deformation, spring breakup and summer melt using a combination of high-precisions GNSS buoys, drifters and airborne/satellite observations. This small-scale observational data will be combined with large-scale observation of deformation (above 2 km), ice types/features and floe size, forming a unique multi-scale data set, which will provide a comprehensive picture of the seasonal of ice floes. We will also explore the possibility to incorporate the generated data set into specific models to measure and demonstrate the impact of our process study. The data set and knowledge gained from this project will enable modelling communities to develop, calibrate and validate their new/existing model parameterisations of sea ice-ocean and climate models, thus improving climate projection in the Arctic and providing improved advice to national and international governing bodies for climate change issues.

该项目研究了所谓的边缘冰区（MIZ）的多尺度海冰过程，边缘冰区是北冰洋的一个区域，在夏季通常由小型、离散的浮冰组成。该MIZ非常动态，容易受到波浪和风的影响，增强了海洋与大气之间的热量和动量交换。这个充满活力的 MIZ 在过去几十年中一直在增长，并且预计将增长到更大的程度（到 2080 年，几乎所有海冰覆盖都将成为 MIZ）。这个不断扩大的 MIZ 的内在过程是海冰冻结、变形、春季破裂和夏季融化。秋季，开放水域和浮冰在夏季融化后幸存下来并合并，形成连续的冬季冰层，其中包含多年冰（去年夏季形成的）、第一年冰（从秋季开始生长的）和新形成的冰（后期生长的冰）的混合物。 ）。然后，冬季冰变形并破裂，形成引线/裂缝或山脊。在春天，冬天的冰会分裂成小的离散浮冰，这些浮冰将在夏季进一步分裂或融化。我们假设浮冰的这种季节性演变是相互关联的，应该理解它以改善海冰-海洋/气候模型的预测。在这个项目中，我们的目标是在为期一年的 MOSAiC 漂流站生成新的观测数据并了解浮冰的季节性演变。为此，我们将结合高精度GNSS浮标、漂流器和机载/卫星观测，对海冰冻结、变形、春季破裂和夏季融化进行小范围（2公里以下）观测。这些小尺度观测数据将与大尺度变形（2公里以上）、冰类型/特征和浮冰尺寸观测相结合，形成独特的多尺度数据集，从而提供冰季节的全面图景浮冰。我们还将探索将生成的数据集纳入特定模型的可能性，以衡量和展示我们的过程研究的影响。从该项目中获得的数据集和知识将使建模界能够开发、校准和验证其新的/现有的海冰-海洋和气候模型参数化，从而改善北极的气候预测，并为国家和国际治理提供改进的建议气候变化问题机构。

项目成果

Report Card

报告卡

• 发表时间: 2020
• 期刊: MCCIP Science Review 2020
• 作者: Hwang B

Regional differences in processes controlling Arctic sea ice floe size distribution in Chukchi Sea, East Siberian and Fram Strait during pre-ponding season

预积水季节控制楚科奇海、东西伯利亚和弗拉姆海峡北极海冰浮冰尺寸分布过程的区域差异

• 发表时间: 2020
• 作者: Wang Y

Summer sea ice floe perimeter density in the Arctic: high-resolution optical satellite imagery and model evaluation

北极夏季海冰浮冰周长密度：高分辨率光学卫星图像和模型评估

• DOI: 10.5194/tc-17-3575-2023
• 发表时间: 2023
• 期刊: The Cryosphere
• 作者: Wang Y

Texture-Sensitive Superpixeling and Adaptive Thresholding for Effective Segmentation of Sea Ice Floes in High-Resolution Optical Images

• DOI: 10.1109/jstars.2020.3040614
• 发表时间: 2021
• 期刊: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
• 影响因子: 5.5
• 作者: Yanmei Chai;Jinchang Ren;B. Hwang;Jian Wang;Dan Fan;Yijun Yan;Shiwei Zhu

Multi-scale satellite observations of Arctic sea ice: new insight into the life cycle of the floe size distribution.

• DOI: 10.1098/rsta.2021.0259
• 发表时间: 2022-10-31
• 期刊: PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
• 影响因子: 5
• 作者: Hwang, Byongjun;Wang, Yanan
• 通讯作者: Wang, Yanan