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Influence of temperature fluctuations on equilibrium ice sheet volume

机译:温度波动对平衡冰盖体积的影响

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Forecasting the future sea level relies on accurate modeling of the response of the Greenland and Antarctic ice sheets to changing temperatures. The surface mass balance (SMB) of the Greenland Ice Sheet (GrIS) has a?nonlinear response to warming. Cold and warm anomalies of equal size do not cancel out and it is therefore important to consider the effect of interannual fluctuations in temperature. We find that the steady-state volume of an ice sheet is biased toward larger size if interannual temperature fluctuations are not taken into account in numerical modeling of the ice sheet. We illustrate this in a?simple ice sheet model and find that the equilibrium ice volume is approximately 1 m?SLE (meters sea level equivalent) smaller when the simple model is forced with fluctuating temperatures as opposed to a?stable climate. It is therefore important to consider the effect of interannual temperature fluctuations when designing long experiments such as paleo-spin-ups. We show how the magnitude of the potential bias can be quantified statistically. For recent simulations of the Greenland Ice Sheet, we estimate the bias to be 30 Gt?yrsup?1/sup (24–59 Gt?yrsup?1/sup, 95 % credibility) for a?warming of 3 °C above preindustrial values, or 13 % (10–25, 95 % credibility) of the present-day rate of ice loss. Models of the Greenland Ice Sheet show a?collapse threshold beyond which the ice sheet becomes unsustainable. The proximity of the threshold will be underestimated if temperature fluctuations are not taken into account. We estimate the bias to be 0.12 °C (0.10–0.18 °C, 95 % credibility) for a?recent estimate of the threshold. In light of our findings it is important to gauge the extent to which this increased variability will influence the mass balance of the ice sheets.
机译:预测未来的海平面取决于对格陵兰和南极冰盖对温度变化的响应的精确建模。格陵兰冰原(GrIS)的表面质量平衡(SMB)对变暖具有非线性响应。大小相等的冷异常和暖异常不会相互抵消,因此,重要的是要考虑温度年际波动的影响。我们发现,如果在冰盖的数值模型中不考虑年际温度波动,则冰盖的稳态体积会偏向更大的尺寸。我们在一个简单的冰盖模型中对此进行了说明,发现当简单模型受温度波动影响而不是稳定的气候时,平衡冰的体积大约小1 mSLE(米海平面当量)。因此,在设计诸如古自旋向上的长期实验时,必须考虑年际温度波动的影响。我们展示了潜在偏倚的大小如何可以进行统计量化。对于格陵兰冰原的最新模拟,我们估计该偏差为30 Gt?yr ?1 (24–59 Gt?yr ?1 ,可信度95%)将温度提高到比工业化前的温度高3°C,或者说是当今冰损失率的13%(10-25,可信度95%)。格陵兰冰原的模型显示出崩溃极限,超过该极限冰原将变得不可持续。如果不考虑温度波动,将低估阈值的接近度。对于最近的阈值估计,我们估计偏差为0.12°C(0.10–0.18°C,可信度95%)。根据我们的发现,重要的是评估这种增加的可变性将在多大程度上影响冰盖的质量平衡。

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