Historical surface mass balance from a frequency-modulated continuous-wave (FMCW) radar survey from Zhongshan station to Dome A

Historical surface mass balance from a frequency-modulated continuous-wave (FMCW) radar survey from Zhongshan station to Dome A
复制标题

从中山站到 Dome A 的调频连续波 (FMCW) 雷达测量的历史表面质量平衡

DOI:
10.1017/jog.2020.58
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发表时间:
2020
影响因子:
3.4
通讯作者:
Bo Sun
Bo Sun
中科院分区:
地球科学3区
文献类型:
--
作者:
Jingxue Guo;Wangxiao Yang;Yinke Dou;Xueyuan Tang;Jamin S. Greenbaum;Dou Ruofan;Yao Pan;Yuzhong Zhang;Minghu Ding;Su Jiang;Guitao Shi;Xiangbin Cui;Bo Sun

文献摘要

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摘要 利用2015/16年中国第32次南极考察期间的调频连续波雷达数据,获取了从中山站到冰穹A的东南极内陆考察路线沿线的地下剖面,并选取了四个不同区域,以分析历史地表物质平衡(SMB)的时空变化。基于考察路线沿线冰芯的深度、密度和年龄数据,对雷达数据进行校准,从而得出平均地表物质平衡数据。距离海岸49 - 195千米的区域地表物质平衡最高(235千克/平方米/年)。780 - 892千米的区域受中世纪暖期和小冰期的影响最大,公元1454 - 1836年期间的地表物质平衡(71千克/平方米/年)仅为20世纪的四分之一。1080 - 1157千米区域的地表物质平衡波动最为剧烈,这可能是由于在地表海拔有波动且地表物质平衡较低的区域,下降风对积雪的侵蚀或不规则堆积所致。冰穹A(1157 - 1236千米)的地表物质平衡最低(29千克/平方米/年),且在小冰期期间并未减少。了解更大空间尺度上地表物质平衡的时空变化,有助于我们认识南极复杂的气候历史。
Abstract Using frequency-modulated continuous wave radar data from the 32nd Chinese Antarctic Research Expedition in 2015/16, subsurface profiles were obtained along an East Antarctic inland traverse from Zhongshan station to Dome A, and four distinct regions were selected to analyze the spatiotemporal variability in historical surface mass balance (SMB). Based on depth, density, and age data from ice cores along the traverse, the radar data were calibrated to yield average SMB data. The zone 49–195 km from the coast has the highest SMB (235 kg m−2 a−1). The 780–892 km zone was most affected by the Medieval Warm Period and the Little Ice Age, and the SMB during ad 1454–1836 (71 kg m−2 a−1) was only one-quarter of that in the 20th century. The SMB in the 1080–1157 km zone fluctuates the most, possibly due to erosion or irregular deposition of snow by katabatic winds in low SMB areas with surface elevation fluctuations. Dome A (1157–1236 km) has the lowest SMB (29 kg m−2 a−1) and did not decrease during Little Ice Age. Understanding the spatiotemporal variability of SMB in a larger space can help us understand the complex climate history of Antarctica.