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基于输入-输出法的2013~2018年南极冰盖物质平衡评估 被引量:2
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作者 程远 海港 +3 位作者 崔祥斌 吕达 乔刚 李荣兴 《中国科学:地球科学》 CSCD 北大核心 2023年第7期1490-1505,共16页
近40年的卫星观测结果表明,南极冰盖(AIS)处于持续的物质流失状态,并对全球海平面(GSL)上升产生了相应贡献.本文改进了现有的南极冰盖接地线冰通量及物质平衡评估算法,并基于最新发布的BedMachine冰厚数据、PEL冰厚数据、ITS_LIVE年度... 近40年的卫星观测结果表明,南极冰盖(AIS)处于持续的物质流失状态,并对全球海平面(GSL)上升产生了相应贡献.本文改进了现有的南极冰盖接地线冰通量及物质平衡评估算法,并基于最新发布的BedMachine冰厚数据、PEL冰厚数据、ITS_LIVE年度流速图等高质量遥感数据产品,以及RACMO 2.3模型的表面物质平衡模拟数据,对2013~2018年南极冰盖的物质平衡状况进行了逐年评估.在高精度冰厚数据的支持下,本文提出的方法能够将冰通量评估结果的不确定性降低10%.结果表明,2013~2018年,AIS的总物质流失约为1069Gt、平均变化率为(-178.2±108.9)Gt a^(-1),其中主要贡献来自加剧的西南极(WA)物质流失,加速度为(6.9±6.5)Gt a^(-2).此外,东南极毛德皇后地的表面物质平衡较高,物质累积速度为(56.0±10.0)Gt a^(-1).结合已有研究中输入-输出法的评估结果可知,WA及东南极威尔克斯地的持续物质流失现象,与这一区域的冰川变薄及冰架底部融化加剧有关.此外,与1979~2017年长期物质平衡评估结果相比,本文的研究结果揭示了近10年南极冰盖的物质流失加速趋势.本文的物质评估方法可进一步应用于不同时期、基于不同卫星数据获取的冰流速产品,为南极冰盖和格陵兰冰盖物质平衡的长期趋势分析提供支撑. 展开更多
关键词 南极冰盖 物质平衡 输入-输出法 bedmachine ITS_LIVE
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Mass balance of the Antarctic Ice Sheet from 2013 to 2018 estimated using the input-output method with updated remote sensing products 被引量:2
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作者 Yuan CHENG Gang HAI +3 位作者 Xiangbin CUI Da LV Gang QIAO Rongxing LI 《Science China Earth Sciences》 SCIE EI CAS CSCD 2023年第7期1478-1492,共15页
The Antarctic Ice Sheet(AIS)has been losing ice mass and contributing to the rise in the global sea-level(GSL)for the last 4 decades,as quantified by using satellite observations.We developed a framework for implement... The Antarctic Ice Sheet(AIS)has been losing ice mass and contributing to the rise in the global sea-level(GSL)for the last 4 decades,as quantified by using satellite observations.We developed a framework for implementing the state-of-the-art input-output(IO)method that has the advantage of explicit estimation of the mass balance of individual glaciers,basins and the continent.We estimated the mass balance of the AIS from 2013 to 2018 using improved observations and updated datasets recently made available,including annual ice flow velocity maps from the Inter-mission Time Series of Land Ice Velocity and Elevation(ITS_LIVE)dataset,the Bed Machine and the Princess Elizabeth Land(PEL)Earth System Science Data(ESSD)datasets,and the surface mass balance from the RACMO 2.3 system.For example,using the improved ice thickness data,the proposed method for ice discharge estimation enables a 10%reduction of uncertainty in ice discharge.During the period of 2013–2018,an ice discharge acceleration of 6.9±6.5 Gt yr^(–2)in West Antarctica(WA)was detected,which contributed significantly to the estimated mass loss of~1069 Gt(–178.2±108.9 Gt yr^(–1))in the AIS.On the other hand,Queen Maud Land,East Antarctica(EA),showed clearly a mass gain rate of 56.0±10.0 Gt yr^(–1)due to the regional increase in surface mass balance.Our results extended the estimation period by 3 years in comparison to the published study using the same annual velocity maps from the ITS_LIVE dataset.Furthermore,our results,along with those from other studies using the IO method,reassures the acceleration of recent mass loss in WA and Wilkes Land in EA,which are caused by glacier thinning and ice shelf basal melting.Compared with the long-term mass balance record since 1979,our results suggest that the mass loss in AIS accelerated in the last decade.The developed framework can be modified for mass balance estimation of the AIS or for other ice sheets by using velocity maps from other satellite data or from different periods. 展开更多
关键词 Antarctic Ice Sheet Mass balance Input-output method bedmachine ITS_LIVE
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