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Estimation of mass balance of Dongkemadi glaciers with multiple methods based on multi-mission satellite data

机译:基于多任务卫星数据的多种方法估算东科玛地冰川的质量平衡

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In the context of climate change and variability, the change of glaciers over Qinghai-Tibet Plateau (QTP) has substantial impact on regional water resource and supply in a large geographical area in Asia. In this study, the recent change of glaciers in the Dongkemadi region in the central QTP was estimated by using multi-date Landsat images acquired over 2000-2011 and altimetry data derived from ICESat over 2003-2008. The biased elevation sampling of ICESat footprints in different laser periods was corrected before trend fitting of elevation changes by estimating the gradients of elevation changes. The results show that glaciers experienced notable recession in the last decade, at a linear shrinking rate of 0.21 km(2) (0.26%) y(-1) in area and a thinning rate of 0.56 m y(-1). Mass balances based on ICESat (-421.2 +/- 83 mm y(-1) w.e) and area-volume scaling method (-487.2 +/- 96 mm y(-1)) agree well with the in-situ measurements of Xiao Dongkemadi (-444.6 mm y(-1) w.e.), giving uncertainties with density assumptions. The results were compared with other studies, and indicate accelerated recession which may be linked with a significant warming trend in recent decades over the QTP. This study demonstrates consistent glacier changes respectively derived from different time-series data, and the potential of consensus estimates by combining multi-mission satellite data. (C) 2015 Elsevier Ltd and INQUA. All rights reserved.
机译:在气候变化和多变性的背景下,青藏高原的冰川变化对亚洲大地理区域的区域水资源和供应具有重大影响。在这项研究中,通过使用2000-2011年获得的多日期Landsat图像和2003-2008年来自ICESat的测高数据,估算了QTP中央地区东克马迪地区近期的冰川变化。通过估计高程变化的梯度,在校正高程变化的趋势拟合之前,校正了不同激光周期中ICESat足迹的有偏高程采样。结果表明,在过去十年中,冰川经历了显着的衰退,面积线性收缩率为0.21 km(2)(0.26%)y(-1),稀疏率为0.56 m y(-1)。基于ICESat(-421.2 +/- 83 mm y(-1)我们)和面积体积缩放方法(-487.2 +/- 96 mm y(-1))的质量平衡与Xiao的现场测量结果非常吻合Dongkemadi(-444.6 mm y(-1)we),给出密度假设的不确定性。将结果与其他研究进行了比较,结果表明衰退加速了,这可能与近几十年来整个QTP的显着变暖趋势有关。这项研究证明了分别来自不同时间序列数据的一致的冰川变化,以及结合多任务卫星数据得出的一致估计的潜力。 (C)2015 Elsevier Ltd和INQUA。版权所有。

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