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Seasonal mass variations show timing and magnitude of meltwater storage in the Greenland Ice Sheet

机译:季节质量变化显示格陵兰冰原中融水的储藏时间和数量

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The Greenland Ice Sheet (GrIS) is currently losing ice mass. In order to accurately predict future sea level rise, the mechanisms driving the observed mass loss must be better understood. Here, we combine data from the satellite gravimetry mission Gravity Recovery and Climate Experiment (GRACE), surface mass balance (SMB) output of the Regional Atmospheric Climate Model v.?2 (RACMO2), and ice discharge estimates to analyze the mass budget of Greenland at various temporal and spatial scales. We find that the mean rate of mass variations in Greenland observed by GRACE was between ? 277 and ? 269?Gt?yr sup?1/sup in 2003–2012. This estimate is consistent with the sum (i.e., - 304 ± 126 Gt?yr sup?1/sup ) of individual contributions – surface mass balance (SMB, 216±122 Gt?yr sup?1/sup ) and ice discharge ( 520±31 Gt?yr sup?1/sup ) – and with previous studies. We further identify a seasonal mass anomaly throughout the GRACE record that peaks in July at 80–120?Gt and which we interpret to be due to a combination of englacial and subglacial water storage generated by summer surface melting. The robustness of this estimate is demonstrated by using both different GRACE-based solutions and different meltwater runoff estimates (namely, RACMO2.3, SNOWPACK, and MAR3.9). Meltwater storage in the ice sheet occurs primarily due to storage in the high-accumulation regions of the southeast and northwest parts of Greenland. Analysis of seasonal variations in outlet glacier discharge shows that the contribution of ice discharge to the observed signal is minor (at the level of only a few gigatonnes) and does not explain the seasonal differences between the total mass and SMB signals. With the improved quantification of meltwater storage at the seasonal scale, we highlight its importance for understanding glacio-hydrological processes and their contributions to the ice sheet mass variability.
机译:格陵兰冰原(GrIS)目前正在失去冰块。为了准确预测未来的海平面上升,必须更好地理解驱动观测到的质量损失的机制。在这里,我们将卫星重力测量任务重力恢复和气候实验(GRACE),区域大气气候模型v.2(RACMO2)的表面质量平衡(SMB)输出以及冰排放估算值相结合,以分析卫星的质量预算格陵兰处于各种时空尺度。我们发现,通过GRACE观测到的格陵兰岛平均质量变化率介于? 277和?在2003–2012年间,有269个Gt?yr ?1 。此估算值与个人贡献的总和(即-304±126 Gt?yr ?1 )一致-表面质量平衡(SMB,216±122 Gt?yr ?1 )和冰排放量(520±31 Gt?yr ?1 )–以及以前的研究。我们进一步确定了整个GRACE记录中的季节性质量异常,该异常在7月达到80–120?Gt的峰值,并且我们认为这是由于夏季表面融化产生的冰期和冰期以下储水的组合。通过使用不同的基于GRACE的解决方案和不同的融水径流估计值(即RACMO2.3,SNOWPACK和MAR3.9),可以证明该估计值的鲁棒性。冰盖中的融水储存主要是由于储存在格陵兰东南部和西北部的高积聚地区。对出口冰川流量的季节性变化的分析表明,冰流量对观测到的信号的贡献很小(仅几千兆吨的水平),并且不能解释总质量和SMB信号之间的季节性差异。随着季节尺度上融水储量定量化的改善,我们强调了其对于了解冰川水文学过程及其对冰盖质量变化的贡献的重要性。

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