Investigating the dynamics and interactions of surface features on Pine Island Glacier using remote sensing and deep learning

IF 6.4 1区 地球科学 Q1 ENVIRONMENTAL SCIENCES Advances in Climate Change Research Pub Date : 2024-08-01 DOI:10.1016/j.accre.2024.07.011
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Abstract

Pine Island Glacier (PIG), the largest glacier in the Amundsen Sea Embayment of West Antarctica, has contributed to over a quarter of the observed sea level rise around Antarctica. In recent years, multiple observations have confirmed its continuous retreat, ice flow acceleration and profound surface melt. Understanding these changes is crucial for accurately monitoring ice mass discharge and future Antarctic contributions to sea level rise. Therefore, it is essential to investigate the complex interactions between these variables to comprehend how they collectively affect the overall stability of the intricate PIG system. In this study, we utilized high-resolution remote sensing data and deep learning method to detect and analyze the spatio-temporal variations of surface melt, ice shelf calving, and ice flow velocity of the PIG from 2015 to 2023. We explored the correlations among these factors to understand their long-term impacts on the glacier's stability. Our findings reveal a retreat of 26.3 km and a mass loss of 1001.6 km2 during 2015–2023. Notably, extensive surface melting was observed, particularly in the 2016/2017 and 2019/2020 melting seasons. Satellite data vividly illustrate prolonged and intense melting periods, correlating with a significant retreat in the glacier's terminus position in 2019/2020. Furthermore, the comprehensive analysis of surface melting and the cumulative retreat of the ice shelf from 2017 to 2020 on the PIG shows a temporal relationship with subsequent significant changes in ice flow velocity, ranging from 10.9 to 12.2 m d−1, with an average acceleration rate of 12%. These empirical findings elucidate the intricate relationship among surface melt, ice flow velocity, and consequential glacier dynamics. A profound understanding of these interrelationships holds paramount importance in glacier dynamic changes and modeling, providing invaluable insights into potential glacier responses to global climate change.

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利用遥感和深度学习研究松岛冰川表面特征的动态和相互作用
松树岛冰川(PIG)是南极洲西部阿蒙森海海湾最大的冰川,在南极洲周围观测到的海平面上升中,松树岛冰川的作用超过四分之一。近年来,多次观测证实,冰川持续后退,冰流加速,地表严重融化。了解这些变化对于准确监测冰量排放和未来南极对海平面上升的影响至关重要。因此,必须研究这些变量之间复杂的相互作用,以了解它们如何共同影响错综复杂的 PIG 系统的整体稳定性。在本研究中,我们利用高分辨率遥感数据和深度学习方法,检测和分析了 2015 年至 2023 年 PIG 的地表融化、冰架塌陷和冰流速度的时空变化。我们探讨了这些因素之间的相关性,以了解它们对冰川稳定性的长期影响。我们的研究结果表明,在 2015-2023 年期间,冰川退缩了 26.3 千米,质量损失了 1001.6 平方千米。值得注意的是,我们观察到了大面积的地表融化,尤其是在 2016/2017 年和 2019/2020 年的融化季节。卫星数据生动地说明了融化期的延长和剧烈程度,这与 2019/2020 年冰川终点位置的显著后退有关。此外,对 2017 至 2020 年冰架表面融化和冰架累积后退的综合分析表明,冰流速度与随后的显著变化存在时间关系,变化范围为 10.9 至 12.2 m d-1,平均加速度为 12%。这些经验性发现阐明了地表融化、冰流速度和随之而来的冰川动力学之间错综复杂的关系。深刻理解这些相互关系对于冰川动态变化和建模至关重要,为冰川应对全球气候变化提供了宝贵的见解。
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来源期刊
Advances in Climate Change Research
Advances in Climate Change Research Earth and Planetary Sciences-Atmospheric Science
CiteScore
9.80
自引率
4.10%
发文量
424
审稿时长
107 days
期刊介绍: Advances in Climate Change Research publishes scientific research and analyses on climate change and the interactions of climate change with society. This journal encompasses basic science and economic, social, and policy research, including studies on mitigation and adaptation to climate change. Advances in Climate Change Research attempts to promote research in climate change and provide an impetus for the application of research achievements in numerous aspects, such as socioeconomic sustainable development, responses to the adaptation and mitigation of climate change, diplomatic negotiations of climate and environment policies, and the protection and exploitation of natural resources.
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