Five decades of Abramov glacier dynamics reconstructed with multi-sensor optical remote sensing

冰川 冰川物质平衡 地质学 浪涌 先进星载热发射反射辐射计 数字高程模型 卫星 冰川形态 比例(比率) 冰流 气候学 遥感 自然地理学 冰层 地理 地貌学 地图学 海冰 工程类 航空航天工程
作者
Enrico Mattea,Étienne Berthier,Amaury Dehecq,Tobias Bolch,Atanu Bhattacharya,Sajid Ghuffar,Martina Barandun,Martin Hoelzle
标识
DOI:10.5194/egusphere-2024-2169
摘要

Abstract. Reference glacier sites with systematic in situ monitoring provide crucial information to understand trends in regional change. Throughout Central Asia, several sites have been established over the past 15 years, often restarting long-term time series interrupted after the Soviet Union collapse. The region also features widespread ice flow instabilities, including surge-type glaciers. Unstable ice dynamics have been usually observed within large-scale remote sensing studies, with limited ground validation or historical observations. This hampers interpretation of the driving factors of glacier change, their interaction with mass balance, and regional representativity of single glaciers. Here, we reconstruct ice dynamics at the reference Abramov glacier using satellite-based optical remote sensing. The glacier, monitored in situ over 1967–1999 and again since 2011, experienced a well-documented episode of fast flow in 1972–1973. We compile a 55-year dataset of digital elevation models (DEMs) and orthoimages by processing raw and analysis-ready imagery from multiple archives. Our estimates for glacier length and volume changes agree well with previous in situ, remote sensing, and model studies. We describe a second unobserved pulsation (2000–2005) at subseasonal scale, not resolved by Landsat or ASTER products. We also measure the buildup to a third active phase, with doubling of mean annual velocity since 2011 despite a continued mass loss of −0.55 ± 0.06 m w.e. yr−1. The collected evidence indicates that Abramov is a surge-type glacier with a recurrence time of 20–30 years, challenging its representativity for regional mass balance. However, our results also suggest a potential ongoing transition towards more stable dynamics.
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