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Using GRACE and climate model simulations to predict mass loss of Alaskan glaciers through 2100

机译:使用Grace和气候模型模拟通过2100预测阿拉斯加冰川的大规模损失

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摘要

Glaciers in Alaska are currently losing mass at a rate of similar to-50 Gt a(-1), one of the largest ice loss rates of any regional collection of mountain glaciers on Earth. Existing projections of Alaska's future sea-level contributions tend to be divergent and are not tied directly to regional observations. Here we develop a simple, regional observation-based projection of Alaska's future sea-level contribution. We compute a time series of recent Alaska glacier mass variability using monthly GRACE gravity fields from August 2002 through December 2014. We also construct a three-parameter model of Alaska glacier mass variability based on monthly ERA-Interim snowfall and temperature fields. When these three model parameters are fitted to the GRACE time series, the model explains 94% of the variance of the GRACE data. Using these parameter values, we then apply the model to simulated fields of monthly temperature and snowfall from the Community Earth System Model, to obtain predictions of mass variations through 2100. We conclude that mass loss rates may increase between -80 and -110 Gt a(-1) by 2100, with a total sea-level rise contribution of 19 +/- 4 mm during the 21st century.
机译:阿拉斯加的冰川目前正在失去群体,以与-50 gt a(-1)的速度,最大的地球上山冰川收集的最大冰流量之一。阿拉斯加未来海平贡献的现有预测往往是发散的,并且不会直接与区域观察联系。在这里,我们培养了阿拉斯加未来海平面贡献的简单,区域观察项目。 2002年8月至2014年10月,我们计算最近的阿拉斯加冰川大规模变异的时间序列最近的Alaska冰川大量变异。我们还基于月度临时降雪和温度田地构建了阿拉斯加冰川大规模变形的三参数模型。当这三个模型参数安装到宽限时序时,该模型解释了宽限数据的差异的94%。使用这些参数值,我们将模型应用于来自社区地球系统模型的月度温度和降雪的模拟字段,以获得通过2100的质量变化的预测。我们得出结论,质量损失率可能会增加-80和-110 gt a (-1)到2100,在21世纪,总海平面上涨19 +/- 4毫米。

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