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Contribution of calving to frontal ablation quantified from seismic and hydroacoustic observations calibrated with lidar volume?measurements

机译:用潮雷达体积校准从地震和水声学观察中量化的前烧蚀的贡献?测量

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Frontal ablation contributes significantly to the mass balance of tidewater glaciers in Svalbard and can be recovered with high temporal resolution using continuous seismic records. Determination of the relative contribution of dynamic ice loss through calving to frontal ablation requires precise estimates of calving volumes at the same temporal resolution. We combine seismic and hydroacoustic observations close to the calving front of Kronebreen, a marine-terminating glacier in Svalbard, with repeat lidar scanning of the glacier front. Simultaneous time-lapse photography is used to assign volumes measured from lidar scans to seismically detected calving events. Empirical models derived from signal properties such as integrated amplitude are able to replicate volumes of individual calving events and cumulative subaerial ice loss over different lidar scan intervals from seismic and hydroacoustic data alone. This enables quantification of the contribution of calving to frontal ablation, which we estimate for Kronebreen to be about 18 %–30 %, slightly below the subaerially exposed area of the glacier front. We further develop a model calibrated for the permanent seismic Kings Bay station (KBS) at about 15 km distance from the glacier front, where 15 %–60 % of calving events can be detected under variable noise conditions due to reduced signal amplitudes at distance. Between 2007 and 2017, we find a 5 %–30 % contribution of calving ice blocks to frontal ablation, which emphasizes the importance of underwater melting (roughly 4–9 m d?1). This study shows the feasibility to seismically monitor not only frontal ablation rates but also the dynamic ice loss contribution continuously and at high temporal resolution.
机译:正面消融对斯瓦尔巴特的潮水冰川的质量平衡有显着贡献,并且可以使用连续地震记录以高时分辨率回收。通过砧座对正面消融的动态冰损的相对贡献需要在相同时间分辨率下精确估计产量。我们将地震和水声观察结合在斯瓦尔巴栏上的海洋终端冰川的kronebreen靠近kronebreen前面,重复冰川前面的潮流扫描。同时延时摄影用于分配从LIDAR扫描测量的卷以进行地震检测到的Caling事件。从诸如集成幅度的信号性质导出的经验模型能够将单独的LIDAR扫描间隔的单独计算事件和累积的子系统冰损失复制来自地震和水声学数据的累积。这使得能够量化犊牛对前烧蚀的贡献,我们估计Kronebreen约为18%-30%,略低于冰川前方的亚阶暴露区域。我们进一步开发了距离冰川前沿约15公里处的永久地震金湾站(KBS)校准的模型,其中由于距离减小的信号幅度,可以在可变噪声条件下检测15%-60%的Calming事件。在2007年至2017年期间,我们发现将冰块到正面消融的5%-30%的贡献,这强调了水下熔化的重要性(大约4-9米D?1)。本研究表明,不仅跨前消融率的可行性,而且在高度的时间分辨率下持续和动态冰损贡献。

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