Spatiotemporal variations in glacier area and surface velocity of the northern Antarctic Peninsula during 2018–2022

Autor: Yu-Long Kang, Shi-Chang Kang, Wan-Qin Guo, Tao Che, Zong-Li Jiang, Zhen-Feng Wang, Qiang-Qiang Xu, Cheng-De Yang
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Advances in Climate Change Research, Vol 15, Iss 2, Pp 297-311 (2024)
Druh dokumentu: article
ISSN: 1674-9278
DOI: 10.1016/j.accre.2024.03.004
Popis: Ice sheet serves as a crucial indicator for assessing climate change. Mass loss in recent remote sensing-based studies indicated that the Antarctic Peninsula has rapid rates of glacier retreat and speed up of surface velocity. However, observations of seasonal variability of ice speed are limited, and glacier-area changes require multi-temporal monitoring. This study investigated the changes in area and surface velocities of ∼375 glaciers on the northern Antarctic Peninsula (NAP) utilizing satellite images acquired by the Sentinel 1&2 satellites during 2018–2022. The results indicate that the glacier area reduced by approximately 166.1 ± 44.2 km2 (−0.2% ± 0.1% per year) during the study period, with an acceleration after 2020 (−0.4% ± 0.3% per year), and the most dramatic reduction happened on the eastern NAP. The maximum annual ice speeds on the NAP generally exceeded 3500 m per year, while the ice speeds in 2021 were the highest (exceeded 4210 m per year). The ice speed variability in austral autumn was higher than in other seasons, meanwhile the summer ice speeds showed an increasing trend. The glacier G012158E47018N, McNeile Glacier, glacier G299637E64094S and Drygalski Glacier showed the most remarkable ice speed variations represented by high daily velocities and strong fluctuations on their termini. Our results demonstrated that the variations in glacier area and seasonal ice speed on the NAP were responsive to the ice–ocean–atmosphere processes. Therefore, seasonal velocity and area variations should be considered when conducting accurate mass balance calculations, model validations and change mechanism analyses under climate warming scenarios.
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